2021 |
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| 1. | 西山勇毅, 柿野優衣, 中縁嗣, 野田悠加, 羽柴彩月, 山田佑亮, 佐々木航, 大越匡, 中澤仁, 森将輝, 水鳥寿思, 塩田琴美, 永野智久, 東海林祐子, 加藤貴昭 感染症流行時におけるスマートフォンを用いた 大学生の身体活動量分析（To appear） Journal Article In: 情報処理学会論文誌 ユビキタスコンピューティングシステム(X), 2021. Abstract | BibTeX | Tags: COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析 @article{nishiyama2021_sfcgo_ipsj, title = {感染症流行時におけるスマートフォンを用いた 大学生の身体活動量分析（To appear）}, author = {西山勇毅 and 柿野優衣 and 中縁嗣 and 野田悠加 and 羽柴彩月 and 山田佑亮 and 佐々木航 and 大越匡 and 中澤仁 and 森将輝 and 水鳥寿思 and 塩田琴美 and 永野智久 and 東海林祐子 and 加藤貴昭}, year = {2021}, date = {2021-10-01}, journal = {情報処理学会論文誌 ユビキタスコンピューティングシステム(X)}, abstract = {新型コロナウイルス感染症（COVID-19）の世界的な感染拡大に伴い，多くの大学ではキャンパス内での感染予防のために，キャンパスの封鎖とインターネット越しに授業を配信するオンライン授業が導入され，学生達は自宅から授業に参加している．このような在宅中心の新しい生活様式は，感染予防効果が見込める一方で，運動不足による二次的な健康被害が懸念される．新しい生活様式における大学生の身体活動の実態，特に学生の属性や時間帯ごとの身体活動量とその内容を明らかにすることは，二次的な健康被害を予防する上で必要不可欠である．そこで本研究では，日常生活中の身体活動データ（歩数と6種類の行動種別）を大学生が所有するスマートフォンを用いて自動収集し，大学生の身体活動量を明らかにする．身体活動データは，必修の体育授業を履修する大学1年生305名から10週間収集した．その結果，通学（7時から10時）や教室での授業，課外活動（11時から24時）の時間帯における歩数の減少と静止時間の長時間化が明らかになった．本結果は，新しい生活様式における大学生活が平日の身体活動量の低下を招く可能性を示唆する．}, keywords = {COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析}, pubstate = {published}, tppubtype = {article} } 新型コロナウイルス感染症（COVID-19）の世界的な感染拡大に伴い，多くの大学ではキャンパス内での感染予防のために，キャンパスの封鎖とインターネット越しに授業を配信するオンライン授業が導入され，学生達は自宅から授業に参加している．このような在宅中心の新しい生活様式は，感染予防効果が見込める一方で，運動不足による二次的な健康被害が懸念される．新しい生活様式における大学生の身体活動の実態，特に学生の属性や時間帯ごとの身体活動量とその内容を明らかにすることは，二次的な健康被害を予防する上で必要不可欠である．そこで本研究では，日常生活中の身体活動データ（歩数と6種類の行動種別）を大学生が所有するスマートフォンを用いて自動収集し，大学生の身体活動量を明らかにする．身体活動データは，必修の体育授業を履修する大学1年生305名から10週間収集した．その結果，通学（7時から10時）や教室での授業，課外活動（11時から24時）の時間帯における歩数の減少と静止時間の長時間化が明らかになった．本結果は，新しい生活様式における大学生活が平日の身体活動量の低下を招く可能性を示唆する． |
| 2. | Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki A Run-time Dynamic Computation Offloading Strategy in Vehicular Edge Computing (To appear) Inproceedings In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), IEEE, Online, 2021. BibTeX | Tags: Connected vehicles, Edge computing, Off-loading, Vehicular networks | Links: @inproceedings{duc_vtc2021, title = {A Run-time Dynamic Computation Offloading Strategy in Vehicular Edge Computing (To appear)}, author = {Hong Duc Nguyen and Shunsuke Aoki and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://events.vtsociety.org/vtc2021-fall/}, year = {2021}, date = {2021-09-27}, booktitle = {2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)}, publisher = {IEEE}, address = {Online}, keywords = {Connected vehicles, Edge computing, Off-loading, Vehicular networks}, pubstate = {published}, tppubtype = {inproceedings} } |
| 3. | Hidenaga Ushijima, Shunsuke Aoki, Peng Helinyi, Yuuki Nishiyama, Kaoru Sezaki An Unsupervised Learning-based Approach for User Mobility Analysis of E-Scooter Sharing Systems (To appear) Inproceedings In: 2021 IEEE International Conference on Intelligent Transportation - ITSC, IEEE, 2021. BibTeX | Tags: data analysis, e-scooter | Links: @inproceedings{itsc2021_ntf, title = {An Unsupervised Learning-based Approach for User Mobility Analysis of E-Scooter Sharing Systems (To appear)}, author = {Hidenaga Ushijima and Shunsuke Aoki and Peng Helinyi and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://2021.ieee-itsc.org/}, year = {2021}, date = {2021-09-19}, booktitle = {2021 IEEE International Conference on Intelligent Transportation - ITSC}, journal = {2021 IEEE International Conference on Intelligent Transportation - ITSC}, publisher = {IEEE}, keywords = {data analysis, e-scooter}, pubstate = {published}, tppubtype = {inproceedings} } |
| 4. | Zengyi Han, Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki MiMoSense: An Open Crowdsensing Platform for Micro-Mobility (To appear) Inproceedings In: 2021 IEEE International Conference on Intelligent Transportation - ITSC, pp. 1-6, IEEE, 2021. Abstract | BibTeX | Tags: e-scooter, Micro-Mobility, Mobile Sensing Toolkit | Links: @inproceedings{ieee_itsc_mimosense, title = {MiMoSense: An Open Crowdsensing Platform for Micro-Mobility (To appear)}, author = {Zengyi Han and Hong Duc Nguyen and Shunsuke Aoki and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://2021.ieee-itsc.org/}, year = {2021}, date = {2021-09-19}, booktitle = {2021 IEEE International Conference on Intelligent Transportation - ITSC}, pages = {1-6}, publisher = {IEEE}, abstract = {The use of micro-mobility (e.g., bicycle and scooter) and their data for urban sensing and rider assessment is becoming increasingly popular in research. However, different research topics require different sensor setups; no general data collecting tools for the micro-mobility makes the researcher who wishes to collect data has to build their own collecting system from scratch. To this end, we present MiMoSense, an open crowdsensing platform for micro-mobility. MiMoSense consists of two components: (1) MiMoSense server, which is set up on the cloud, and used to manage sensing studies and the collected data for research and sharing. (2) MiMoSense client, uses micro-mobility carrying various sensors and IoT devices to collect multiple kinds of data during traveling. As a reusable open-source software, MiMoSense shifts the researcher's focus from software development to sensing data analysis; it can help researchers quickly develop an extensible platform for collecting micro-mobility's raw sensing data and inferring traveling context. We have evaluated MiMoSense's battery consumption, message latency and discuss its use.}, keywords = {e-scooter, Micro-Mobility, Mobile Sensing Toolkit}, pubstate = {published}, tppubtype = {inproceedings} } The use of micro-mobility (e.g., bicycle and scooter) and their data for urban sensing and rider assessment is becoming increasingly popular in research. However, different research topics require different sensor setups; no general data collecting tools for the micro-mobility makes the researcher who wishes to collect data has to build their own collecting system from scratch. To this end, we present MiMoSense, an open crowdsensing platform for micro-mobility. MiMoSense consists of two components: (1) MiMoSense server, which is set up on the cloud, and used to manage sensing studies and the collected data for research and sharing. (2) MiMoSense client, uses micro-mobility carrying various sensors and IoT devices to collect multiple kinds of data during traveling. As a reusable open-source software, MiMoSense shifts the researcher's focus from software development to sensing data analysis; it can help researchers quickly develop an extensible platform for collecting micro-mobility's raw sensing data and inferring traveling context. We have evaluated MiMoSense's battery consumption, message latency and discuss its use. |
| 5. | Hong Duc Nguyen, Shunsuke Aoki, Yuuki Nishiyama, Kaoru Sezaki An Online Task Offloading Strategy in Vehicular Edge Computing (To appear) Inproceedings In: IEICE Society Conference 2021, IEICE, 2021. BibTeX | Tags: Connected vehicles, Edge computing, Off-loading, Vehicular networks | Links: @inproceedings{ieice2021_duc, title = {An Online Task Offloading Strategy in Vehicular Edge Computing (To appear)}, author = {Hong Duc Nguyen and Shunsuke Aoki and Yuuki Nishiyama and Kaoru Sezaki}, url = {http://www.ieice-taikai.jp/2021society/jpn/}, year = {2021}, date = {2021-09-14}, booktitle = {IEICE Society Conference 2021}, publisher = {IEICE}, keywords = {Connected vehicles, Edge computing, Off-loading, Vehicular networks}, pubstate = {published}, tppubtype = {inproceedings} } |
| 6. | 陳美怡, 幡井皓介, 西山勇毅, 瀬崎薫 感染症予防行動を促進させるインセンティブモデルに関する一検討（To appear） Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2021. Abstract | BibTeX | Tags: COVID-19, ゲーミフィケーション, モバイル・ウェアラブルセンシング, 感染症予防, 行動変容促進 @inproceedings{ubi71_chen, title = {感染症予防行動を促進させるインセンティブモデルに関する一検討（To appear）}, author = {陳美怡 and 幡井皓介 and 西山勇毅 and 瀬崎薫}, year = {2021}, date = {2021-09-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2021-UBI-71}, pages = {1--7}, publisher = {情報処理学会}, abstract = {現在，新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．政府は地方自治体，保健機関は，「手洗い」や「マスクの着用」 「行動記録」「外出自粛」などの感染症予防策を人々に積極的に取り続けることを推奨している.本研究では，ユーザの感染症予防行動の促進を日標とし，既存の行動記録アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する.具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する.固定・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを調査する.}, keywords = {COVID-19, ゲーミフィケーション, モバイル・ウェアラブルセンシング, 感染症予防, 行動変容促進}, pubstate = {published}, tppubtype = {inproceedings} } 現在，新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．政府は地方自治体，保健機関は，「手洗い」や「マスクの着用」 「行動記録」「外出自粛」などの感染症予防策を人々に積極的に取り続けることを推奨している.本研究では，ユーザの感染症予防行動の促進を日標とし，既存の行動記録アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する.具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する.固定・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを調査する. |
| 7. | 鈴木凌斗, 村上弘晃, 西山勇毅, 川原圭博, 瀬崎薫 部屋毎の滞在時間特性を考慮した頑健な滞在場所推定手法（To appear） Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2021. Abstract | BibTeX | Tags: Bluetoothビーコン, COVID-19, ワイブル分布, 滞在場所推定 @inproceedings{ubi71_suzuki, title = {部屋毎の滞在時間特性を考慮した頑健な滞在場所推定手法（To appear）}, author = {鈴木凌斗 and 村上弘晃 and 西山勇毅 and 川原圭博 and 瀬崎薫}, year = {2021}, date = {2021-09-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2021-UBI-71}, pages = {1--7}, publisher = {情報処理学会}, abstract = {屋内での滞在情報を正確に把握することで，混雑度の推定や集客情報，人流の把握など，様々なサービスを提供できる．BluetoothビーコンやWiFiの信号強度を用いた滞在場所推定手法では，低コストに滞在推定システムを導入できる．しかしながら，受信信号強度の不安定さや隣接した部屋から漏れる信号などが原因となり，単純な信号強度のみを用いた判定では，受信環境によっては滞在場所の誤判定が頻繁に発生する．本稿では，部屋ごとの滞在時間特性の違いを考慮に入れることにより誤判定を抑制する手法を提案する．提案手法では，部屋ごとの滞在時間の分布をワイブル分布にフィッティングし，生存時間解析を適用することによりユーザの状態を推定する．信号強度の強弱のみに基づく既存手法との比較のため，正解ラベル付きのデータを収集し評価実験を行った．}, keywords = {Bluetoothビーコン, COVID-19, ワイブル分布, 滞在場所推定}, pubstate = {published}, tppubtype = {inproceedings} } 屋内での滞在情報を正確に把握することで，混雑度の推定や集客情報，人流の把握など，様々なサービスを提供できる．BluetoothビーコンやWiFiの信号強度を用いた滞在場所推定手法では，低コストに滞在推定システムを導入できる．しかしながら，受信信号強度の不安定さや隣接した部屋から漏れる信号などが原因となり，単純な信号強度のみを用いた判定では，受信環境によっては滞在場所の誤判定が頻繁に発生する．本稿では，部屋ごとの滞在時間特性の違いを考慮に入れることにより誤判定を抑制する手法を提案する．提案手法では，部屋ごとの滞在時間の分布をワイブル分布にフィッティングし，生存時間解析を適用することによりユーザの状態を推定する．信号強度の強弱のみに基づく既存手法との比較のため，正解ラベル付きのデータを収集し評価実験を行った． |
| 8. | 陳美怡, 幡井皓介, 西山勇毅, 瀬崎薫 感染症予防行動を促進させるインセンティブモデルの構築に向けて（To appear） Inproceedings In: 第20回情報科学技術フォーラム（FIT2021）, 情報処理学会, オンライン, 2021. Abstract | BibTeX | Tags: COVID-19, セルフトラッキング, 位置情報, 感染症予防, 行動変容促進 | Links: @inproceedings{fit2021_selfguard, title = {感染症予防行動を促進させるインセンティブモデルの構築に向けて（To appear）}, author = {陳美怡 and 幡井皓介 and 西山勇毅 and 瀬崎薫}, url = {https://www.ipsj.or.jp/event/fit/fit2021/}, year = {2021}, date = {2021-08-25}, booktitle = {第20回情報科学技術フォーラム（FIT2021）}, publisher = {情報処理学会}, address = {オンライン}, abstract = {現在、新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．2021年4月18日時点で，COVID-19による全世界の累計死亡者数が300万人を超えたことが報告された[1]．市や政府は，感染症の感染拡大を防ぐために，自己隔離，ロックダウン，行動制限などの対策を実施している．また政府や保健機関は，人々が手洗い・マスクの着用・行動記録・外出自粛などの感染症予防策を積極的に取り続けることを推奨している．西山らの研究では，行動記録アプリ（SelfGuard）を開発し，半自動的にユーザの滞在情報・行動履歴を記録することで，感染症予防行動の促進を実現している[2]．本研究では，ユーザの感染症予防行動の促進を目標として，既存アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する．具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する．定額・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを評価する}, keywords = {COVID-19, セルフトラッキング, 位置情報, 感染症予防, 行動変容促進}, pubstate = {published}, tppubtype = {inproceedings} } 現在、新型コロナウイルス感染症（COVID-19）の感染が拡大しており，人々の生命と健康を大きく脅かしている．2021年4月18日時点で，COVID-19による全世界の累計死亡者数が300万人を超えたことが報告された[1]．市や政府は，感染症の感染拡大を防ぐために，自己隔離，ロックダウン，行動制限などの対策を実施している．また政府や保健機関は，人々が手洗い・マスクの着用・行動記録・外出自粛などの感染症予防策を積極的に取り続けることを推奨している．西山らの研究では，行動記録アプリ（SelfGuard）を開発し，半自動的にユーザの滞在情報・行動履歴を記録することで，感染症予防行動の促進を実現している[2]．本研究では，ユーザの感染症予防行動の促進を目標として，既存アプリ（SelfGuard）を拡張し，感染症予防行動に対する最適なインセンティブモデルの導入を検討する．具体的には，スマートフォンとウェアラブルデバイスに搭載されたセンサを利用してユーザの感染症予防行動を認識し，行動に応じてインセンティブとして換金可能なポイントを付与する．定額・加算・減算モデルという三種類のインセンティブモデルにおいて人の行動に与える影響の違いを評価する |
| 9. | Soichiro Higuma, Kosuke Hatai, Yuuki Nishiyama, Kaoru Sezaki Towards Estimating UV Exposure Using GPS Signal Strength from a Carrying Smartphone (To appear) Inproceedings In: 4th International Workshop on Deep Learning on Edge for Smart Health and Wellbeing Applications (EdgeDL 2021), co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2021), IEEE, Irvine, Orange County, California, USA (Virtual Workshop), 2021. Abstract | BibTeX | Tags: Behavior change, Estimation, GPS signal strength, Mobile sensing, UV | Links: @inproceedings{edgedl2021-uv, title = {Towards Estimating UV Exposure Using GPS Signal Strength from a Carrying Smartphone (To appear)}, author = {Soichiro Higuma and Kosuke Hatai and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://www.smart-comp.info/}, year = {2021}, date = {2021-08-23}, booktitle = {4th International Workshop on Deep Learning on Edge for Smart Health and Wellbeing Applications (EdgeDL 2021), co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2021)}, publisher = {IEEE}, address = {Irvine, Orange County, California, USA (Virtual Workshop)}, abstract = {Owing to lifestyle changes, urbanization, and the COVID-19 pandemic, many people spend more time indoors and tend to receive less direct sunlight than before. Although excessive or inadequate ultraviolet (UV) exposure can be harmful to our physical and mental health, moderate UV exposure is essential for vitamin D (VD) production in the body. In this study, we estimate the UV exposure using an off-the-shelf smartphone, and explore the relationship between the UV values and GPS signal strength(C/N0). The results demonstrate that a strong correlation (R2=0.73) between the UV values and carrier to noise density (C/N0)even if the smartphone and UV sensor are moved. Therefore, it is possible to estimate the UV exposure to some extent from a person’s location, even while carrying a smartphone.}, keywords = {Behavior change, Estimation, GPS signal strength, Mobile sensing, UV}, pubstate = {published}, tppubtype = {inproceedings} } Owing to lifestyle changes, urbanization, and the COVID-19 pandemic, many people spend more time indoors and tend to receive less direct sunlight than before. Although excessive or inadequate ultraviolet (UV) exposure can be harmful to our physical and mental health, moderate UV exposure is essential for vitamin D (VD) production in the body. In this study, we estimate the UV exposure using an off-the-shelf smartphone, and explore the relationship between the UV values and GPS signal strength(C/N0). The results demonstrate that a strong correlation (R2=0.73) between the UV values and carrier to noise density (C/N0)even if the smartphone and UV sensor are moved. Therefore, it is possible to estimate the UV exposure to some extent from a person’s location, even while carrying a smartphone. |
| 10. | 西山勇毅, 川原圭博, 瀬崎薫 MOCHA: Bluetoothビーコンを用いた学内位置情報サービスの開発・運用 Journal Article Open Access In: 画像電子学会誌, 50 (3), pp. 459-461, 2021, (ウィズコロナ・アフターコロナに向けた安心・安全・便利なキャンパスを目指して). Abstract | BibTeX | Tags: Bluetoothビーコン, COVID-19, アフターコロナ, ウィズコロナ, 位置情報サービス, 学内システム, 開発・運用 | Links: @article{iieej2021_mocha, title = {MOCHA: Bluetoothビーコンを用いた学内位置情報サービスの開発・運用}, author = {西山勇毅 and 川原圭博 and 瀬崎薫}, url = {https://www.iieej.org/journal-of-the-society/}, year = {2021}, date = {2021-08-01}, journal = {画像電子学会誌}, volume = {50}, number = {3}, pages = {459-461}, publisher = {画像電子学会}, abstract = {新型コロナウイルス感染症（COVID-19）の世界的な感染拡大により，感染症予防策の一つとして多くの大学では，オンライン授業や対面とオンライン授業を併用するハイブリッド授業を用いて教育・研究機会を提供してきた．2021年に入ってからは，多くの大学では，完全オンライン授業からハイブリッド・対面授業に移行しつつある．しかし，COVID-19 は常に変異しており，感染症の再流行も懸念されている．本格的な対面授業や研究活動の再開に向けて，学内管理施設における安心・安全の確保のためには，施設内における人々の滞在状況や人流・接触状況などを把握できることが望ましい．また，これらの情報は，アフターコロナにおいても，部屋の予約や道案内，場所に応じたリマインド機能などの DX 基盤としても活用できる．一方で，位置情報利用におけるプライバシーの確保やインセンティブ設計，開発・運用体制など実現には，技術以外にも多くの課題が存在する．}, note = {ウィズコロナ・アフターコロナに向けた安心・安全・便利なキャンパスを目指して}, keywords = {Bluetoothビーコン, COVID-19, アフターコロナ, ウィズコロナ, 位置情報サービス, 学内システム, 開発・運用}, pubstate = {published}, tppubtype = {article} } 新型コロナウイルス感染症（COVID-19）の世界的な感染拡大により，感染症予防策の一つとして多くの大学では，オンライン授業や対面とオンライン授業を併用するハイブリッド授業を用いて教育・研究機会を提供してきた．2021年に入ってからは，多くの大学では，完全オンライン授業からハイブリッド・対面授業に移行しつつある．しかし，COVID-19 は常に変異しており，感染症の再流行も懸念されている．本格的な対面授業や研究活動の再開に向けて，学内管理施設における安心・安全の確保のためには，施設内における人々の滞在状況や人流・接触状況などを把握できることが望ましい．また，これらの情報は，アフターコロナにおいても，部屋の予約や道案内，場所に応じたリマインド機能などの DX 基盤としても活用できる．一方で，位置情報利用におけるプライバシーの確保やインセンティブ設計，開発・運用体制など実現には，技術以外にも多くの課題が存在する． |
| 11. | Hidenaga Ushijima, Shota Ono, Yuuki Nishiyama, Kaoru Sezaki Towards Infectious Disease Risk Assessment in Taxis using Environmental Sensors Inproceedings In: Streitz, Norbert, Konomi, Shiníchi (Ed.): Distributed, Ambient and Pervasive Interactions, pp. 178–188, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-77015-0. Abstract | BibTeX | Tags: CO2, COVID-19, Mobile sensing, Public Transportation | Links: @inproceedings{taxi_co2_20201, title = {Towards Infectious Disease Risk Assessment in Taxis using Environmental Sensors}, author = {Hidenaga Ushijima and Shota Ono and Yuuki Nishiyama and Kaoru Sezaki}, editor = {Norbert Streitz and Shiníchi Konomi}, url = {http://2021.hci.international/}, doi = {10.1007/978-3-030-77015-0_13}, isbn = {978-3-030-77015-0}, year = {2021}, date = {2021-07-07}, booktitle = {Distributed, Ambient and Pervasive Interactions}, volume = {12782}, pages = {178--188}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {The spread of Coronavirus disease of 2019 (COVID-19) has reaffirmed the importance of ventilation in enclosed public spaces. Studies on air quality in public spaces such as classrooms, hospitals, and trains have been conducted in the past. However, the interior of a taxi, where an extremely small space is shared with an unspecified number of people, has not been sufficiently studied. This is a unique environment where ventilation is important. This study compared ventilation meth-ods focusing on the CO2 concentration in the cabin, and evaluated the frequency of ventilation in an actual taxi using sensing technology}, keywords = {CO2, COVID-19, Mobile sensing, Public Transportation}, pubstate = {published}, tppubtype = {inproceedings} } The spread of Coronavirus disease of 2019 (COVID-19) has reaffirmed the importance of ventilation in enclosed public spaces. Studies on air quality in public spaces such as classrooms, hospitals, and trains have been conducted in the past. However, the interior of a taxi, where an extremely small space is shared with an unspecified number of people, has not been sufficiently studied. This is a unique environment where ventilation is important. This study compared ventilation meth-ods focusing on the CO2 concentration in the cabin, and evaluated the frequency of ventilation in an actual taxi using sensing technology |
| 12. | 西山勇毅, 中縁嗣, 野田悠加, 柿野優衣, 羽柴彩月, 山田佑亮, 佐々木航, 大越匡, 中澤仁, 森将輝, 水鳥寿思, 塩田琴美, 永野智久, 東海林祐子, 加藤貴昭 感染症流行時におけるスマートフォンを用いた 大学生の身体活動量分析 Miscellaneous 情報処理学会論文誌 ユビキタスコンピューティングシステム(X), 2021. BibTeX | Tags: COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析 | Links: @misc{nishiyama2021_sfcgo, title = {感染症流行時におけるスマートフォンを用いた 大学生の身体活動量分析}, author = {西山勇毅 and 中縁嗣 and 野田悠加 and 柿野優衣 and 羽柴彩月 and 山田佑亮 and 佐々木航 and 大越匡 and 中澤仁 and 森将輝 and 水鳥寿思 and 塩田琴美 and 永野智久 and 東海林祐子 and 加藤貴昭 }, url = {https://arxiv.org/abs/2103.06515}, year = {2021}, date = {2021-03-01}, howpublished = {情報処理学会論文誌 ユビキタスコンピューティングシステム(X)}, keywords = {COVID-19, モバイルセンシング, 歩数, 行動認識, 身体活動量分析}, pubstate = {published}, tppubtype = {misc} } |
| 13. | Wataru Sasaki, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa Investigating the occurrence of selfie-based emotional contagion over social network Journal Article Open Access In: Social Network Analysis and Mining, 11 , pp. 8, 2021, ISSN: 1869-5450. Abstract | BibTeX | Tags: Emotional contagion ·, Mobile sensing ·, Social content sharing, Social network · | Links: @article{Sasaki2021, title = {Investigating the occurrence of selfie-based emotional contagion over social network}, author = {Wataru Sasaki and Yuuki Nishiyama and Tadashi Okoshi and Jin Nakazawa}, url = {http://link.springer.com/10.1007/s13278-020-00712-0}, doi = {10.1007/s13278-020-00712-0}, issn = {1869-5450}, year = {2021}, date = {2021-01-01}, journal = {Social Network Analysis and Mining}, volume = {11}, pages = {8}, publisher = {Springer}, abstract = {Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional contagion,” a phenomenon wherein through perception, people experience the same emotion expressed by someone when communicating with them. Although online communication is increasing due to growth of mobile computing, emotional contagion on online communication is not well studied yet. Particularly, it is not yet clear if emotional contagion among people occurs through selfie photographs posted on the social network media. We implemented “SmileWave,” the social networking system for investigating selfie-based emotional contagion. The key feature of SmileWave is detecting “smile degree” in user’s posting selfies and in reactive facial expressions when the user is viewing the posted photographs from others. Our in-the-wild user studies with 38 participants for 2 weeks revealed the occurrence of selfie-based emotional contagion over the social network, based on the results that the users’ smile degree improved (15% on average) when the user looked at posted selfie photographs.}, keywords = {Emotional contagion ·, Mobile sensing ·, Social content sharing, Social network ·}, pubstate = {published}, tppubtype = {article} } Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional contagion,” a phenomenon wherein through perception, people experience the same emotion expressed by someone when communicating with them. Although online communication is increasing due to growth of mobile computing, emotional contagion on online communication is not well studied yet. Particularly, it is not yet clear if emotional contagion among people occurs through selfie photographs posted on the social network media. We implemented “SmileWave,” the social networking system for investigating selfie-based emotional contagion. The key feature of SmileWave is detecting “smile degree” in user’s posting selfies and in reactive facial expressions when the user is viewing the posted photographs from others. Our in-the-wild user studies with 38 participants for 2 weeks revealed the occurrence of selfie-based emotional contagion over the social network, based on the results that the users’ smile degree improved (15% on average) when the user looked at posted selfie photographs. |
2020 |
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| 14. | 山下陸, 西山勇毅, 小松寛弥, 川原圭博 BLEビーコンを用いた屋内位置推定システムの設計と実装 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2020, ISBN: 2188-8698. Abstract | BibTeX | Tags: COVID-19, 屋内位置情報, 接触検知 | Links: @inproceedings{weko_208650_1, title = {BLEビーコンを用いた屋内位置推定システムの設計と実装}, author = {山下陸 and 西山勇毅 and 小松寛弥 and 川原圭博}, url = {http://id.nii.ac.jp/1001/00208548/ https://mocha.t.u-tokyo.ac.jp/}, isbn = {2188-8698}, year = {2020}, date = {2020-12-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2020-UBI-68}, number = {8}, pages = {1--7}, publisher = {情報処理学会}, abstract = {現在，我々は大学キャンパスでの COVID-19 感染対策，そして，ポストコロナ時代における望ましい位置情報インフラの構築を目指している．ユーザーのプライバシーに配慮し，講義で活用する教室や図書館等の 181 のスペースに 200 の Bluetooth ビーコンを設置した．ビーコンが発する ID をスマートフォンで検知し，ユーザの部屋への入退室を判定する．ユーザの位置情報はサーバーサイドに集約された後，ユーザの同意に基づいたルールで，ニーズに応じた位置情報の開示が可能になっている．設置したビーコンをもとにキャンパス内で位置情報の取得予備実験を行ったところ，室内を隔てる壁の材質によっては電波の減衰率が大きく異なることや，大学の施設管理データベースの登録情報が実態を反映していないことなどが明るみになった．本稿では，MOCHA と名付けた本システムの設計と実装，システムアーキテクチャや利用規約を制定する際のポイントについて共有する． We are currently working to build the desirable location infrastructure on university campus to combat COVID-19 and also in the post-corona era. In consideration of the user privacy, we have installed 200 Bluetooth beacons in 181 spaces, including the libraries and the classrooms used for the lectures. The IDs emitted by the beacons are detected by a smartphone to determine the user's entering and exiting the room. After the user's location information is collected on the server side, rules based on the user's consent enable the location information to be disclosed according to their needs. A preliminary experiment of the location information acquisition in the campus using the beacons revealed that the attenuation rate of radio waves differs greatly depending on the material of the wall, and the information registered in the facility management database of the university does not reflect the reality. In this paper, we share the design and implementation of our system, named MOCHA, and the key points for establishing the system architecture and terms of use.}, keywords = {COVID-19, 屋内位置情報, 接触検知}, pubstate = {published}, tppubtype = {inproceedings} } 現在，我々は大学キャンパスでの COVID-19 感染対策，そして，ポストコロナ時代における望ましい位置情報インフラの構築を目指している．ユーザーのプライバシーに配慮し，講義で活用する教室や図書館等の 181 のスペースに 200 の Bluetooth ビーコンを設置した．ビーコンが発する ID をスマートフォンで検知し，ユーザの部屋への入退室を判定する．ユーザの位置情報はサーバーサイドに集約された後，ユーザの同意に基づいたルールで，ニーズに応じた位置情報の開示が可能になっている．設置したビーコンをもとにキャンパス内で位置情報の取得予備実験を行ったところ，室内を隔てる壁の材質によっては電波の減衰率が大きく異なることや，大学の施設管理データベースの登録情報が実態を反映していないことなどが明るみになった．本稿では，MOCHA と名付けた本システムの設計と実装，システムアーキテクチャや利用規約を制定する際のポイントについて共有する． We are currently working to build the desirable location infrastructure on university campus to combat COVID-19 and also in the post-corona era. In consideration of the user privacy, we have installed 200 Bluetooth beacons in 181 spaces, including the libraries and the classrooms used for the lectures. The IDs emitted by the beacons are detected by a smartphone to determine the user's entering and exiting the room. After the user's location information is collected on the server side, rules based on the user's consent enable the location information to be disclosed according to their needs. A preliminary experiment of the location information acquisition in the campus using the beacons revealed that the attenuation rate of radio waves differs greatly depending on the material of the wall, and the information registered in the facility management database of the university does not reflect the reality. In this paper, we share the design and implementation of our system, named MOCHA, and the key points for establishing the system architecture and terms of use. |
| 15. | Elina Kuosmanen, Florian Wolling, Julio Vega, Valerii Kan, Yuuki Nishiyama, Simon Harper, Kristof Van Laerhoven, Simo Hosio, Denzil Ferreira Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness Journal Article Open Access In: JMIR Mhealth Uhealth, 8 (11), pp. e21543, 2020, ISSN: 2291-5222. Abstract | BibTeX | Tags: hand tremor, mobile health, Parkinson disease, smartphone | Links: @article{info:doi/10.2196/21543, title = {Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness}, author = {Elina Kuosmanen and Florian Wolling and Julio Vega and Valerii Kan and Yuuki Nishiyama and Simon Harper and Kristof Van Laerhoven and Simo Hosio and Denzil Ferreira}, url = {http://www.ncbi.nlm.nih.gov/pubmed/33242017}, doi = {10.2196/21543}, issn = {2291-5222}, year = {2020}, date = {2020-11-26}, journal = {JMIR Mhealth Uhealth}, volume = {8}, number = {11}, pages = {e21543}, abstract = {Background: Hand tremor typically has a negative impact on a person's ability to complete many common daily activities. Previous research has investigated how to quantify hand tremor with smartphones and wearable sensors, mainly under controlled data collection conditions. Solutions for daily real-life settings remain largely underexplored. Objective: Our objective was to monitor and assess hand tremor severity in patients with Parkinson disease (PD), and to better understand the effects of PD medications in a naturalistic environment. Methods: Using the Welch method, we generated periodograms of accelerometer data and computed signal features to compare patients with varying degrees of PD symptoms. Results: We introduced and empirically evaluated the tremor intensity parameter (TIP), an accelerometer-based metric to quantify hand tremor severity in PD using smartphones. There was a statistically significant correlation between the TIP and self-assessed Unified Parkinson Disease Rating Scale (UPDRS) II tremor scores (Kendall rank correlation test: z=30.521, P<.001, $tau$=0.5367379; n=11). An analysis of the ``before'' and ``after'' medication intake conditions identified a significant difference in accelerometer signal characteristics among participants with different levels of rigidity and bradykinesia (Wilcoxon rank sum test, P<.05). Conclusions: Our work demonstrates the potential use of smartphone inertial sensors as a systematic symptom severity assessment mechanism to monitor PD symptoms and to assess medication effectiveness remotely. Our smartphone-based monitoring app may also be relevant for other conditions where hand tremor is a prevalent symptom.}, keywords = {hand tremor, mobile health, Parkinson disease, smartphone}, pubstate = {published}, tppubtype = {article} } Background: Hand tremor typically has a negative impact on a person's ability to complete many common daily activities. Previous research has investigated how to quantify hand tremor with smartphones and wearable sensors, mainly under controlled data collection conditions. Solutions for daily real-life settings remain largely underexplored. Objective: Our objective was to monitor and assess hand tremor severity in patients with Parkinson disease (PD), and to better understand the effects of PD medications in a naturalistic environment. Methods: Using the Welch method, we generated periodograms of accelerometer data and computed signal features to compare patients with varying degrees of PD symptoms. Results: We introduced and empirically evaluated the tremor intensity parameter (TIP), an accelerometer-based metric to quantify hand tremor severity in PD using smartphones. There was a statistically significant correlation between the TIP and self-assessed Unified Parkinson Disease Rating Scale (UPDRS) II tremor scores (Kendall rank correlation test: z=30.521, P<.001, $tau$=0.5367379; n=11). An analysis of the ``before'' and ``after'' medication intake conditions identified a significant difference in accelerometer signal characteristics among participants with different levels of rigidity and bradykinesia (Wilcoxon rank sum test, P<.05). Conclusions: Our work demonstrates the potential use of smartphone inertial sensors as a systematic symptom severity assessment mechanism to monitor PD symptoms and to assess medication effectiveness remotely. Our smartphone-based monitoring app may also be relevant for other conditions where hand tremor is a prevalent symptom. |
| 16. | 牛島秀暢, 西山勇毅, 小野翔多, 瀬崎薫 環境センサを用いたタクシー車室内における感染症リスク評価に関する一検討 Inproceedings In: 研究報告高度交通システムとスマートコミュニティ（ITS）, pp. 1–6, 情報処理学会, 2020, ISSN: 2188-8965. Abstract | BibTeX | Tags: 二酸化炭素, 感染症対策, 車内環境センシング | Links: @inproceedings{mbl_co2, title = {環境センサを用いたタクシー車室内における感染症リスク評価に関する一検討}, author = {牛島秀暢 and 西山勇毅 and 小野翔多 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00207785/}, issn = {2188-8965}, year = {2020}, date = {2020-11-17}, booktitle = {研究報告高度交通システムとスマートコミュニティ（ITS）}, volume = {2020-ITS-83}, number = {10}, pages = {1--6}, publisher = {情報処理学会}, abstract = {COVID-19の感染拡大により，公共空間や飲食業などの対面サービスにおいて，持続的かつ安全で低コストな感染症への対策が求められている．これまでは，密閉，密集，密接の三密と呼ばれる状態が感染リスクがあるとされ，換気の徹底などが推奨されてきたが，その効果を定量的に計測する事は極めて困難である．本研究では，タクシーという密閉空間の状態を複数の環境センサを用いて計測し，感染症リスクを定量的に分析する．}, keywords = {二酸化炭素, 感染症対策, 車内環境センシング}, pubstate = {published}, tppubtype = {inproceedings} } COVID-19の感染拡大により，公共空間や飲食業などの対面サービスにおいて，持続的かつ安全で低コストな感染症への対策が求められている．これまでは，密閉，密集，密接の三密と呼ばれる状態が感染リスクがあるとされ，換気の徹底などが推奨されてきたが，その効果を定量的に計測する事は極めて困難である．本研究では，タクシーという密閉空間の状態を複数の環境センサを用いて計測し，感染症リスクを定量的に分析する． |
| 17. | Yuuki Nishiyama, Takuro Yonezawa, Kaoru Sezaki Poster Abstract: SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic Inproceedings In: Proceedings of the 18th Conference on Embedded Networked Sensor Systems, Virtual Event, Japan, pp. 780–781, Association for Computing Machinery, New York, NY, USA, 2020, ISBN: 9781450375900. Abstract | BibTeX | Tags: COVID-19, GPS, Mobile sensing, Self-Tracking | Links: @inproceedings{sensys2020_selfguard, title = {Poster Abstract: SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic}, author = {Yuuki Nishiyama and Takuro Yonezawa and Kaoru Sezaki}, url = {http://sensys.acm.org/2020/ https://youtu.be/KYmvCHl_U7g}, doi = {10.1145/3384419.3430592}, isbn = {9781450375900}, year = {2020}, date = {2020-11-16}, booktitle = {Proceedings of the 18th Conference on Embedded Networked Sensor Systems, Virtual Event, Japan}, number = {2}, pages = {780–781}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, series = {SenSys '20}, abstract = {Contagious diseases like COVID-19 spread periodically and threaten our lives. Self-protection, such as washing hands, wearing a mask, and staying home, are simple and practical solutions to safeguard against these diseases. Most governments and health departments recommend that people maintain self-protection. Although continuous self-protection effectively prevents the spread of infection, only the intent to self-protect is unsustainable in the long term. In this study, we design, develop, and deploy an application to track users' daily activities semi-automatically and enhance self-protection behavior using mobile sensing and gamified feedback techniques. Currently, more than 324 people have installed the app via AppStore, and 52 users have shared their activity data to our research group.}, key = {self-tracking, mobile sensing, GPS, COVID-19}, keywords = {COVID-19, GPS, Mobile sensing, Self-Tracking}, pubstate = {published}, tppubtype = {inproceedings} } Contagious diseases like COVID-19 spread periodically and threaten our lives. Self-protection, such as washing hands, wearing a mask, and staying home, are simple and practical solutions to safeguard against these diseases. Most governments and health departments recommend that people maintain self-protection. Although continuous self-protection effectively prevents the spread of infection, only the intent to self-protect is unsustainable in the long term. In this study, we design, develop, and deploy an application to track users' daily activities semi-automatically and enhance self-protection behavior using mobile sensing and gamified feedback techniques. Currently, more than 324 people have installed the app via AppStore, and 52 users have shared their activity data to our research group. |
| 18. | Soichiro Higuma, Yuuki Nishiyama, Kaoru Sezaki Towards Estimating UV Light Intensity Using GPS Signal Strength Inproceedings In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 684–687, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768. Abstract | BibTeX | Tags: Estimation, GPS Signal Reception, Mobile sensing, UV | Links: @inproceedings{10.1145/3410530.3414434, title = {Towards Estimating UV Light Intensity Using GPS Signal Strength}, author = {Soichiro Higuma and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://doi.org/10.1145/3410530.3414434}, doi = {10.1145/3410530.3414434}, isbn = {9781450380768}, year = {2020}, date = {2020-09-13}, booktitle = {Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers}, pages = {684–687}, publisher = {Association for Computing Machinery}, address = {Virtual Event, Mexico}, series = {UbiComp-ISWC '20}, abstract = {Due to recent urbanization and changing lifestyles, many people have been spending more time indoors. Hence, they tend to receive less direct sunlight than ever before. Although excessive/inadequate UV exposure can be harmful to human health leading to illnesses such as skin cancer, spots, or depression, moderate UV exposure is necessary for vitamin D production in the body. Therefore, estimating UV exposure with a commonly used device is useful for maintaining a healthy lifestyle from excessive/inadequate UV exposure in our daily life. In this study, we aim to estimate UV exposure, and to this end, we used the GPS signal strength (C/No) collected from an off-the-shelf smartphone for exploring the relationship between UV values and C/No. We conducted an experiment and measured UV values and C/No from 10 places in two different situations. From the results, we observed a significant correlation (R2 more than 0.87) between UV values and C/No when all the data were divided by the sun/shade condition. This result supports the fact that UV values potentially can be inferred from C/No to some degree if the sun/shade condition can be detected.}, keywords = {Estimation, GPS Signal Reception, Mobile sensing, UV}, pubstate = {published}, tppubtype = {inproceedings} } Due to recent urbanization and changing lifestyles, many people have been spending more time indoors. Hence, they tend to receive less direct sunlight than ever before. Although excessive/inadequate UV exposure can be harmful to human health leading to illnesses such as skin cancer, spots, or depression, moderate UV exposure is necessary for vitamin D production in the body. Therefore, estimating UV exposure with a commonly used device is useful for maintaining a healthy lifestyle from excessive/inadequate UV exposure in our daily life. In this study, we aim to estimate UV exposure, and to this end, we used the GPS signal strength (C/No) collected from an off-the-shelf smartphone for exploring the relationship between UV values and C/No. We conducted an experiment and measured UV values and C/No from 10 places in two different situations. From the results, we observed a significant correlation (R2 more than 0.87) between UV values and C/No when all the data were divided by the sun/shade condition. This result supports the fact that UV values potentially can be inferred from C/No to some degree if the sun/shade condition can be detected. |
| 19. | Yuuki Nishiyama, Denzil Ferreira, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki Using IOS for Inconspicuous Data Collection: A Real-World Assessment Inproceedings Self Archive In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 261–266, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768. Abstract | BibTeX | Tags: Effective Data Collection, iOS, Mobile Crowd sensing, Mobile Sensing Toolkit, Real-world Assessment | Links: @inproceedings{10.1145/3410530.3414369, title = {Using IOS for Inconspicuous Data Collection: A Real-World Assessment}, author = {Yuuki Nishiyama and Denzil Ferreira and Wataru Sasaki and Tadashi Okoshi and Jin Nakazawa and Anind K Dey and Kaoru Sezaki}, url = {https://doi.org/10.1145/3410530.3414369 https://www.yuukinishiyama.com/wp-content/uploads/2020/09/AWARE_HASCA2020_UbiComp2020.pdf}, doi = {10.1145/3410530.3414369}, isbn = {9781450380768}, year = {2020}, date = {2020-09-12}, booktitle = {Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers}, pages = {261–266}, publisher = {Association for Computing Machinery}, address = {Virtual Event, Mexico}, series = {UbiComp-ISWC '20}, abstract = {Mobile Crowd Sensing (MCS) is a method for collecting multiple sensor data from distributed mobile devices for understanding social and behavioral phenomena. The method requires collecting the sensor data 24/7, ideally inconspicuously to minimize bias. Although several MCS tools for collecting the sensor data from an off-the-shelf smartphone are proposed and evaluated under controlled conditions as a benchmark, the performance in a practical sensing study condition is scarce, especially on iOS. In this paper, we assess the data collection quality of AWARE iOS, installed on off-the-shelf iOS smartphones with 9 participants for a week. Our analysis shows that more than 97% of sensor data, provided by hardware sensors (i.e., accelerometer, location, and pedometer sensor), is successfully collected in real-world conditions, unless a user explicitly quits our data collection application.}, keywords = {Effective Data Collection, iOS, Mobile Crowd sensing, Mobile Sensing Toolkit, Real-world Assessment}, pubstate = {published}, tppubtype = {inproceedings} } Mobile Crowd Sensing (MCS) is a method for collecting multiple sensor data from distributed mobile devices for understanding social and behavioral phenomena. The method requires collecting the sensor data 24/7, ideally inconspicuously to minimize bias. Although several MCS tools for collecting the sensor data from an off-the-shelf smartphone are proposed and evaluated under controlled conditions as a benchmark, the performance in a practical sensing study condition is scarce, especially on iOS. In this paper, we assess the data collection quality of AWARE iOS, installed on off-the-shelf iOS smartphones with 9 participants for a week. Our analysis shows that more than 97% of sensor data, provided by hardware sensors (i.e., accelerometer, location, and pedometer sensor), is successfully collected in real-world conditions, unless a user explicitly quits our data collection application. |
| 20. | Yuuki Nishiyama, Denzil Ferreira, Yusaku Eigen, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki iOS Crowd-Sensing Won't Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform Inproceedings Self Archive In: Streitz, Norbert, Konomi, Shiníchi (Ed.): Distributed, Ambient and Pervasive Interactions, pp. 223–243, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-50344-4. Abstract | BibTeX | Tags: Data Collection Rate, Guideline, iOS, Mobile Sensing Framework, Sustainable Sensing | Links: @inproceedings{10.1007/978-3-030-50344-4_17, title = {iOS Crowd-Sensing Won't Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform}, author = {Yuuki Nishiyama and Denzil Ferreira and Yusaku Eigen and Wataru Sasaki and Tadashi Okoshi and Jin Nakazawa and Anind K Dey and Kaoru Sezaki}, editor = {Norbert Streitz and Shiníchi Konomi}, url = {https://www.yuukinishiyama.com/2020/07/25/hcii2020/ https://www.yuukinishiyama.com/wp-content/uploads/2020/07/AWARE-iOS_HCII2020_preprint.pdf https://github.com/tetujin/AWAREFramework-iOS}, doi = {10.1007/978-3-030-50344-4_17}, isbn = {978-3-030-50344-4}, year = {2020}, date = {2020-07-10}, booktitle = {Distributed, Ambient and Pervasive Interactions}, volume = {12203}, pages = {223--243}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {The latest smartphones have advanced sensors that allow us to recognize human and environmental contexts. They operate primarily on Android and iOS, and can be used as sensing platforms for research in various fields owing to their ubiquity in society. Mobile sensing frameworks help to manage these sensors easily. However, Android and iOS are constructed following different policies, requiring developers and researchers to consider framework differences during research planning, application development, and data collection phases to ensure sustainable data collection. In particular, iOS imposes strict regulations on background data collection and application distribution. In this study, we design, implement, and evaluate a mobile sensing framework for iOS, namely AWARE-iOS, which is an iOS version of the AWARE Framework. Our performance evaluations and case studies measured over a duration of 288 h on four types of devices, show the risks of continuous data collection in the background and explore optimal practical sensor settings for improved data collection. Based on these results, we develop guidelines for sustainable data collection on iOS.}, keywords = {Data Collection Rate, Guideline, iOS, Mobile Sensing Framework, Sustainable Sensing}, pubstate = {published}, tppubtype = {inproceedings} } The latest smartphones have advanced sensors that allow us to recognize human and environmental contexts. They operate primarily on Android and iOS, and can be used as sensing platforms for research in various fields owing to their ubiquity in society. Mobile sensing frameworks help to manage these sensors easily. However, Android and iOS are constructed following different policies, requiring developers and researchers to consider framework differences during research planning, application development, and data collection phases to ensure sustainable data collection. In particular, iOS imposes strict regulations on background data collection and application distribution. In this study, we design, implement, and evaluate a mobile sensing framework for iOS, namely AWARE-iOS, which is an iOS version of the AWARE Framework. Our performance evaluations and case studies measured over a duration of 288 h on four types of devices, show the risks of continuous data collection in the background and explore optimal practical sensor settings for improved data collection. Based on these results, we develop guidelines for sustainable data collection on iOS. |
| 21. | 牛島秀暢, 青木俊介, 西山勇毅, 瀬崎薫 Non-Negative Tensor Factrization を用いたドックレス型マイクロモビリティの利用形態分類手法の検討 Inproceedings AwardSelf Archive In: 研究報告高度交通システムとスマートコミュニティ（ITS）, pp. 1–8, 情報処理学会, 2020, ISSN: 2188-8965. Abstract | BibTeX | Tags: e-scooter, ITS, Micromobility, Mobility-as-a-Service, 都市コンピューティング | Links: @inproceedings{ushijima2020_its, title = {Non-Negative Tensor Factrization を用いたドックレス型マイクロモビリティの利用形態分類手法の検討}, author = {牛島秀暢 and 青木俊介 and 西山勇毅 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00204626/ https://www.mcl.iis.u-tokyo.ac.jp/wp-content/uploads/2020/08/ITS81.pdf}, issn = {2188-8965}, year = {2020}, date = {2020-05-21}, booktitle = {研究報告高度交通システムとスマートコミュニティ（ITS）}, journal = {研究報告モバイルコンピューティングとパーベイシブシステム (MBL)}, volume = {2020-ITS-81}, number = {1}, pages = {1--8}, publisher = {情報処理学会}, abstract = {交通やインフラ，スマートフォンなどから得られる様々なデータを統合的に利活用し，都市計画の継続的な改善に役立てるという都市コンピューティングが注目されている．都市コンピューティングは少子高齢化と過疎化が進行する日本においても公共インフラを有効活用し都市を維持するためにも有効である．限られた公共インフラを活用するためには人々の移動目的を推定し，交通リソースを最適化する必要があるが，既存の IC カードなどの交通データでは推定粒度に限界があった．こうした状況の中，特定の返却場所を持たないドックレス型のマイクロモビリティが急速に普及している．ドックレス型マイクロモビリティは平均移動距離が 500m 程度と短く，直接目的地に向かうため，より詳細な移動行動が検出可能である．本研究では，マイクロモビリティが都市空間で離散的に分布する点に着目した．そして，細かく単発的な移動行動を大域的に分析することで潜在的な移動パターンがあることを，Non-Negative Tensor Factrization と呼ばれる教師なし学習を用いることで明らかにした．}, keywords = {e-scooter, ITS, Micromobility, Mobility-as-a-Service, 都市コンピューティング}, pubstate = {published}, tppubtype = {inproceedings} } 交通やインフラ，スマートフォンなどから得られる様々なデータを統合的に利活用し，都市計画の継続的な改善に役立てるという都市コンピューティングが注目されている．都市コンピューティングは少子高齢化と過疎化が進行する日本においても公共インフラを有効活用し都市を維持するためにも有効である．限られた公共インフラを活用するためには人々の移動目的を推定し，交通リソースを最適化する必要があるが，既存の IC カードなどの交通データでは推定粒度に限界があった．こうした状況の中，特定の返却場所を持たないドックレス型のマイクロモビリティが急速に普及している．ドックレス型マイクロモビリティは平均移動距離が 500m 程度と短く，直接目的地に向かうため，より詳細な移動行動が検出可能である．本研究では，マイクロモビリティが都市空間で離散的に分布する点に着目した．そして，細かく単発的な移動行動を大域的に分析することで潜在的な移動パターンがあることを，Non-Negative Tensor Factrization と呼ばれる教師なし学習を用いることで明らかにした． |
| 22. | 日隈壮一郎, 西山勇毅, 瀬崎薫 GPS 信号受信状態を用いた紫外線量推定手法の検討 Inproceedings Award In: 研究報告ユビキタスコンピューティングシステム (UBI), pp. 1–7, 情報処理学会, 2020, ISSN: 2188-8698. Abstract | BibTeX | Tags: GPS信号受信状態, モバイルセンシング, 紫外線量推定 | Links: @inproceedings{higuma2020_ubi66, title = {GPS 信号受信状態を用いた紫外線量推定手法の検討}, author = {日隈壮一郎 and 西山勇毅 and 瀬崎薫}, url = {http://id.nii.ac.jp/1001/00204523/}, issn = {2188-8698}, year = {2020}, date = {2020-05-18}, booktitle = {研究報告ユビキタスコンピューティングシステム (UBI)}, journal = {研究報告ユビキタスコンピューティングシステム (UBI)}, volume = {2020-UBI-66}, number = {5}, pages = {1--7}, publisher = {情報処理学会}, abstract = {近年の都市構造の変容と急激なライフスタイルの変化に伴い，人間が屋内で過ごす時間は長時間化し，逆に屋外で直射日光を浴びる時間は年々短くなっている．過度な紫外線の被曝は皮膚癌やシワ，シミの発生可能性を高めるが，一方で適度な紫外線被曝は体内でのビタミン D の生成に必要不可欠である．また，基本的に野菜に含まれていないビタミン D の不足は，カルシウム不足や低カルシウム血症，骨の軟化やうつ病などに繋がる危険性があり，長期的な健康管理において，紫外線被曝量の管理は重要である．しかしながら，紫外線センサを常に携帯することはユーザの負担が大きく，長期的な利用には日常的に計測または推定可能な手法が必要である．そこで本研究では，スマートフォンに搭載された GPS モジュールを用いて，GPS 信号の受信状態から紫外線量を推定する手法の検討を行う．}, keywords = {GPS信号受信状態, モバイルセンシング, 紫外線量推定}, pubstate = {published}, tppubtype = {inproceedings} } 近年の都市構造の変容と急激なライフスタイルの変化に伴い，人間が屋内で過ごす時間は長時間化し，逆に屋外で直射日光を浴びる時間は年々短くなっている．過度な紫外線の被曝は皮膚癌やシワ，シミの発生可能性を高めるが，一方で適度な紫外線被曝は体内でのビタミン D の生成に必要不可欠である．また，基本的に野菜に含まれていないビタミン D の不足は，カルシウム不足や低カルシウム血症，骨の軟化やうつ病などに繋がる危険性があり，長期的な健康管理において，紫外線被曝量の管理は重要である．しかしながら，紫外線センサを常に携帯することはユーザの負担が大きく，長期的な利用には日常的に計測または推定可能な手法が必要である．そこで本研究では，スマートフォンに搭載された GPS モジュールを用いて，GPS 信号の受信状態から紫外線量を推定する手法の検討を行う． |
| 23. | 神村潤, 西山勇毅, 瀬崎薫 スマートフォンセンサを用いた気分情報を基にした都市空間評価手法に向けて Inproceedings In: 電子情報通信学会 電子情報通信学会総合大会, 広島大学東広島キャンパス, 2020. BibTeX | Tags: | Links: @inproceedings{kamimura2020_2020Soc, title = {スマートフォンセンサを用いた気分情報を基にした都市空間評価手法に向けて}, author = {神村潤 and 西山勇毅 and 瀬崎薫}, url = {http://www.ieice-taikai.jp/2020society/jpn/}, year = {2020}, date = {2020-03-17}, booktitle = {電子情報通信学会 電子情報通信学会総合大会}, address = {広島大学東広島キャンパス}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
| 24. | 西山勇毅, 佐々木航, 栄元優作, 本木悠介, 大越匡, 中澤仁, 瀬崎薫 In-the-Wild実験におけるiOS用モバイルセンシングフレームワークの性能評価 Inproceedings In: 電子情報通信学会技術研究報告: 信学技報, pp. 127-132, ライフインテリジェンスとオフィス情報システム(LOIS) 電子情報通信学会, 大濱信泉記念館（石垣島）, 2020, ISSN: 0913-5685. Abstract | BibTeX | Tags: AWARE, In-the-Wildセンシング, iOS, ガイドライン, センシング基盤, フレームワーク, モバイルセンシング | Links: @inproceedings{Nishiyama2020_LOIS, title = {In-the-Wild実験におけるiOS用モバイルセンシングフレームワークの性能評価}, author = {西山勇毅 and 佐々木航 and 栄元優作 and 本木悠介 and 大越匡 and 中澤仁 and 瀬崎薫}, url = {https://www.ieice.org/ken/index/ieice-techrep-119-477.html}, issn = {0913-5685}, year = {2020}, date = {2020-03-11}, booktitle = {電子情報通信学会技術研究報告: 信学技報}, volume = {119}, number = {477}, pages = {127-132}, publisher = {電子情報通信学会}, address = {大濱信泉記念館（石垣島）}, organization = {ライフインテリジェンスとオフィス情報システム(LOIS)}, abstract = {ユーザの携帯端末より収集したセンサデータを用いて，人や集団・空間の状態を理解するモバイルセンシングは，情報科学だけでなく社会科学や公衆衛生など様々な分野で利用されている．モバイルセンシングを容易に実現するツールは多数提案されており，それらは研究室内実験など「コントール環境」での性能評価は行われている．しかし，実際の被験者にシステムを配布し実験を行う「In-the-Wild環境」における性能評価は行われていない．特にAndroidに比べiOSは制約が多く，制約を無視した設定はデータ収集率の低下を招くため，適切な設定を明らかにする必要がある． そこで本研究では，iOS用モバイルセンシングフレームワーク（it AWARE-iOS）を用いて，1週間のIn-the-Wild環境実験を10人の被験者を対象に行い，その際のit AWARE-iOSのデータ収集性能及びバッテリ消費を評価した．その結果，最も収集率が高い可能性のある設定（ESM＋SPN）では，ユーザがit AWARE-iOSを強制終了しない限り95%以上のデータを収集可能であり，平均11.39時間の起動が可能であることが明らかになった．}, keywords = {AWARE, In-the-Wildセンシング, iOS, ガイドライン, センシング基盤, フレームワーク, モバイルセンシング}, pubstate = {published}, tppubtype = {inproceedings} } ユーザの携帯端末より収集したセンサデータを用いて，人や集団・空間の状態を理解するモバイルセンシングは，情報科学だけでなく社会科学や公衆衛生など様々な分野で利用されている．モバイルセンシングを容易に実現するツールは多数提案されており，それらは研究室内実験など「コントール環境」での性能評価は行われている．しかし，実際の被験者にシステムを配布し実験を行う「In-the-Wild環境」における性能評価は行われていない．特にAndroidに比べiOSは制約が多く，制約を無視した設定はデータ収集率の低下を招くため，適切な設定を明らかにする必要がある． そこで本研究では，iOS用モバイルセンシングフレームワーク（it AWARE-iOS）を用いて，1週間のIn-the-Wild環境実験を10人の被験者を対象に行い，その際のit AWARE-iOSのデータ収集性能及びバッテリ消費を評価した．その結果，最も収集率が高い可能性のある設定（ESM＋SPN）では，ユーザがit AWARE-iOSを強制終了しない限り95%以上のデータを収集可能であり，平均11.39時間の起動が可能であることが明らかになった． |
| 25. | Tammy Chung, Sang Won Bae, Eun-Young Mun, Brian Suffoletto, Yuuki Nishiyama, Serim Jang, Anind K Dey Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study Journal Article Open Access In: JMIR Mhealth Uhealth, 8 (3), pp. e16240, 2020, ISSN: 2291-5222. Abstract | BibTeX | Tags: cannabis, cell phone, cognition, marijuana, memory, short-term | Links: @article{info:doi/10.2196/16240, title = {Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study}, author = {Tammy Chung and Sang Won Bae and Eun-Young Mun and Brian Suffoletto and Yuuki Nishiyama and Serim Jang and Anind K Dey}, url = {http://www.ncbi.nlm.nih.gov/pubmed/32154789}, doi = {10.2196/16240}, issn = {2291-5222}, year = {2020}, date = {2020-03-10}, journal = {JMIR Mhealth Uhealth}, volume = {8}, number = {3}, pages = {e16240}, abstract = {Background: Mobile assessment of the effects of acute marijuana on cognitive functioning in the natural environment would provide an ecologically valid measure of the impacts of marijuana use on daily functioning. Objective: This study aimed to examine the association of reported acute subjective marijuana high (rated 0-10) with performance on 3 mobile cognitive tasks measuring visuospatial working memory (Flowers task), attentional bias to marijuana-related cues (marijuana Stroop), and information processing and psychomotor speed (digit symbol substitution task [DSST]). The effect of distraction as a moderator of the association between the rating of subjective marijuana high and task performance (ie, reaction time and number of correct responses) was explored. Methods: Young adults (aged 18-25 years; 37/60, 62% female) who reported marijuana use at least twice per week were recruited through advertisements and a participant registry in Pittsburgh, Pennsylvania. Phone surveys and mobile cognitive tasks were delivered 3 times per day and were self-initiated when starting marijuana use. Completion of phone surveys triggered the delivery of cognitive tasks. Participants completed up to 30 days of daily data collection. Multilevel models examined associations between ratings of subjective marijuana high (rated 0-10) and performance on each cognitive task (reaction time and number of correct responses) and tested the number of distractions (rated 0-4) during the mobile task session as a moderator of the association between ratings of subjective marijuana high and task performance. Results: Participants provided 2703 data points, representing 451 reports (451/2703, 16.7%) of marijuana use. Consistent with slight impairing effects of acute marijuana use, an increase in the average rating of subjective marijuana high was associated with slower average reaction time on all 3 tasks---Flowers (B=2.29; SE 0.86; P=.008), marijuana Stroop (B=2.74; SE 1.09; P=.01), and DSST (B=3.08; SE 1.41; P=.03)---and with fewer correct responses for Flowers (B=−0.03; SE 0.01; P=.01) and DSST (B=−0.18; SE 0.07; P=.01), but not marijuana Stroop (P=.45). Results for distraction as a moderator were statistically significant only for certain cognitive tasks and outcomes. Specifically, as hypothesized, a person's average number of reported distractions moderated the association of the average rating of subjective marijuana high (over and above a session's rating) with the reaction time for marijuana Stroop (B=−52.93; SE 19.38; P=.006) and DSST (B=−109.72; SE 42.50; P=.01) and the number of correct responses for marijuana Stroop (B=−0.22; SE 0.10; P=.02) and DSST (B=4.62; SE 1.81; P=.01). Conclusions: Young adults' performance on mobile cognitive tasks in the natural environment was associated with ratings of acute subjective marijuana high, consistent with slight decreases in cognitive functioning. Monitoring cognitive functioning in real time in the natural environment holds promise for providing immediate feedback to guide personal decision making.}, keywords = {cannabis, cell phone, cognition, marijuana, memory, short-term}, pubstate = {published}, tppubtype = {article} } Background: Mobile assessment of the effects of acute marijuana on cognitive functioning in the natural environment would provide an ecologically valid measure of the impacts of marijuana use on daily functioning. Objective: This study aimed to examine the association of reported acute subjective marijuana high (rated 0-10) with performance on 3 mobile cognitive tasks measuring visuospatial working memory (Flowers task), attentional bias to marijuana-related cues (marijuana Stroop), and information processing and psychomotor speed (digit symbol substitution task [DSST]). The effect of distraction as a moderator of the association between the rating of subjective marijuana high and task performance (ie, reaction time and number of correct responses) was explored. Methods: Young adults (aged 18-25 years; 37/60, 62% female) who reported marijuana use at least twice per week were recruited through advertisements and a participant registry in Pittsburgh, Pennsylvania. Phone surveys and mobile cognitive tasks were delivered 3 times per day and were self-initiated when starting marijuana use. Completion of phone surveys triggered the delivery of cognitive tasks. Participants completed up to 30 days of daily data collection. Multilevel models examined associations between ratings of subjective marijuana high (rated 0-10) and performance on each cognitive task (reaction time and number of correct responses) and tested the number of distractions (rated 0-4) during the mobile task session as a moderator of the association between ratings of subjective marijuana high and task performance. Results: Participants provided 2703 data points, representing 451 reports (451/2703, 16.7%) of marijuana use. Consistent with slight impairing effects of acute marijuana use, an increase in the average rating of subjective marijuana high was associated with slower average reaction time on all 3 tasks---Flowers (B=2.29; SE 0.86; P=.008), marijuana Stroop (B=2.74; SE 1.09; P=.01), and DSST (B=3.08; SE 1.41; P=.03)---and with fewer correct responses for Flowers (B=−0.03; SE 0.01; P=.01) and DSST (B=−0.18; SE 0.07; P=.01), but not marijuana Stroop (P=.45). Results for distraction as a moderator were statistically significant only for certain cognitive tasks and outcomes. Specifically, as hypothesized, a person's average number of reported distractions moderated the association of the average rating of subjective marijuana high (over and above a session's rating) with the reaction time for marijuana Stroop (B=−52.93; SE 19.38; P=.006) and DSST (B=−109.72; SE 42.50; P=.01) and the number of correct responses for marijuana Stroop (B=−0.22; SE 0.10; P=.02) and DSST (B=4.62; SE 1.81; P=.01). Conclusions: Young adults' performance on mobile cognitive tasks in the natural environment was associated with ratings of acute subjective marijuana high, consistent with slight decreases in cognitive functioning. Monitoring cognitive functioning in real time in the natural environment holds promise for providing immediate feedback to guide personal decision making. |
| 26. | Chenwei Song, Masaki Ito, Yuuki Nishiyama, Kaoru Sezaki Mobile Sensing of Pedestrian Mobility and its Assessment Inproceedings In: IEICE Tech. Rep., pp. 121–126, Life Intelligence and Office Information Systems (LOIS) IEICE Technical Committee, 2020, ISBN: 0913-5685. Abstract | BibTeX | Tags: Bluetooth, Crowd detection, Human mobility | Links: @inproceedings{Chenwei2020_LOIS, title = {Mobile Sensing of Pedestrian Mobility and its Assessment}, author = {Chenwei Song and Masaki Ito and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://www.ieice.org/ken/paper/20200312h1vo/eng/}, isbn = {0913-5685}, year = {2020}, date = {2020-03-04}, booktitle = {IEICE Tech. Rep.}, volume = {119}, number = {477}, pages = {121--126}, publisher = {IEICE Technical Committee}, organization = {Life Intelligence and Office Information Systems (LOIS)}, abstract = {We propose a client-server system that provides crowd detection and mobility information. Our proposed system has the advantages of low cost and location flexibility without pre-deployed, as long as there is a sufficient number of users involved. We conducted several experiments in real environments to determine the feasibility, accuracy and applicable environment of the system. The result shows that the system can effectively capture the flow of people in the experimental area. In some cases, under the same environment, it can obtain almost the same mobility tracking information from fewer participating users than the GPS method.}, keywords = {Bluetooth, Crowd detection, Human mobility}, pubstate = {published}, tppubtype = {inproceedings} } We propose a client-server system that provides crowd detection and mobility information. Our proposed system has the advantages of low cost and location flexibility without pre-deployed, as long as there is a sufficient number of users involved. We conducted several experiments in real environments to determine the feasibility, accuracy and applicable environment of the system. The result shows that the system can effectively capture the flow of people in the experimental area. In some cases, under the same environment, it can obtain almost the same mobility tracking information from fewer participating users than the GPS method. |
| 27. | 栄元優作, 佐々木航, 西山勇毅, 大越匡, 中澤仁 モバイルコンピューティングによるエモーショナル・イーティングの検知 Inproceedings In: 研究報告ユビキタスコンピューティングシステム (UBI), pp. 1–8, 情報処理学会, 2020, ISSN: 2188-8698. Abstract | BibTeX | Tags: エモーショナル・イーティング, スマートフォン, モバイルセンシング, 情動的摂食, 機械学習, 行動推定 | Links: @inproceedings{eigen2020_ubi65, title = {モバイルコンピューティングによるエモーショナル・イーティングの検知}, author = {栄元優作 and 佐々木航 and 西山勇毅 and 大越匡 and 中澤仁}, url = {http://id.nii.ac.jp/1001/00203697/}, issn = {2188-8698}, year = {2020}, date = {2020-01-01}, booktitle = {研究報告ユビキタスコンピューティングシステム (UBI)}, volume = {2020}, number = {39}, pages = {1--8}, publisher = {情報処理学会}, abstract = {ストレスや感情の変化に左右された食行動はエモーショナル・イーティングと呼ばれる．エモーショナル・イーティングが発生する原因として，ストレスや生活習慣の乱れによる自律神経やホルモンバランスの乱れがあげられる．したがって，自律神経の活性度やホルモン分泌量を継続して観察・分析することで，エモーショナル・イーティングの発生を予期することが可能である．しかし，それらの計測には特殊な生体センサが必要であり，また長時間の使用は負担が大きい．本研究では，ユーザが日常的に利用しており，かつ利用者の行動パターンの特徴が表れるスマートフォンのセンサ情報と機械学習を組み合わせることで，エモーショナルイーティングの検知に取り組む．そして，スマートフォンのセンサデータと食生活データを収集する SEED システムを構築し，収集データからエモーショナル・イーティングを検知する機械学習モデルを作成した．本システムを用いて 60 人の被験者から 28 日間のデータを収集したところ，87.5% の精度でエモーショナル・イーティングを検知することに成功した．}, keywords = {エモーショナル・イーティング, スマートフォン, モバイルセンシング, 情動的摂食, 機械学習, 行動推定}, pubstate = {published}, tppubtype = {inproceedings} } ストレスや感情の変化に左右された食行動はエモーショナル・イーティングと呼ばれる．エモーショナル・イーティングが発生する原因として，ストレスや生活習慣の乱れによる自律神経やホルモンバランスの乱れがあげられる．したがって，自律神経の活性度やホルモン分泌量を継続して観察・分析することで，エモーショナル・イーティングの発生を予期することが可能である．しかし，それらの計測には特殊な生体センサが必要であり，また長時間の使用は負担が大きい．本研究では，ユーザが日常的に利用しており，かつ利用者の行動パターンの特徴が表れるスマートフォンのセンサ情報と機械学習を組み合わせることで，エモーショナルイーティングの検知に取り組む．そして，スマートフォンのセンサデータと食生活データを収集する SEED システムを構築し，収集データからエモーショナル・イーティングを検知する機械学習モデルを作成した．本システムを用いて 60 人の被験者から 28 日間のデータを収集したところ，87.5% の精度でエモーショナル・イーティングを検知することに成功した． |
2019 |
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| 28. | 大越匡, 西山勇毅, 佐々木航, 栄元優作, 中澤仁 人の限定合理性を超越した行動変容支援に向けた情報プラッ トフォームの設計 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–6, 情報処理学会, 2019, ISSN: 2188-8698. Abstract | BibTeX | Tags: 情報システム, 情報提示, 行動変容, 限定合理性 | Links: @inproceedings{tadashi2019_ubi, title = {人の限定合理性を超越した行動変容支援に向けた情報プラッ トフォームの設計}, author = {大越匡 and 西山勇毅 and 佐々木航 and 栄元優作 and 中澤仁}, url = {http://id.nii.ac.jp/1001/00200838/}, issn = {2188-8698}, year = {2019}, date = {2019-12-03}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2019-UBI-64}, number = {8}, pages = {1--6}, publisher = {情報処理学会}, series = {UBI64}, abstract = {ユビキタスコンピューティングシステムとして，例えば睡眠，食事，運動，学びといった人の多くの行動における行動変容を支援するための研究が数多くなされてきた一方，現状の取り組みは，人間が合理的であろうとするが種々の能力の限界によって限られた合理性しかもてない「限定合理性」(bounded rationality）を超えて人間を支援できていない．本研究では，この限定合理性を超越する情報技術の実現を目指し，その概念を整理し，解決手法における方針と情報アーキテクチャへの要件を明らかにする．}, keywords = {情報システム, 情報提示, 行動変容, 限定合理性}, pubstate = {published}, tppubtype = {inproceedings} } ユビキタスコンピューティングシステムとして，例えば睡眠，食事，運動，学びといった人の多くの行動における行動変容を支援するための研究が数多くなされてきた一方，現状の取り組みは，人間が合理的であろうとするが種々の能力の限界によって限られた合理性しかもてない「限定合理性」(bounded rationality）を超えて人間を支援できていない．本研究では，この限定合理性を超越する情報技術の実現を目指し，その概念を整理し，解決手法における方針と情報アーキテクチャへの要件を明らかにする． |
| 29. | 栄元優作, 西山勇毅, 大越匡, 中澤仁 HealthyStadium: 他者評価とゲーミフィケーションを用いた食習慣改善ソーシャルメディア Journal Article In: 情報処理学会論文誌, 60 (10), pp. 1881-1895, 2019, ISSN: 1882-7764. Abstract | BibTeX | Tags: ゲーミフィケーション, ソーシャルメディア, 食事記録, 食生活 | Links: @article{170000180547b, title = {HealthyStadium: 他者評価とゲーミフィケーションを用いた食習慣改善ソーシャルメディア}, author = {栄元優作 and 西山勇毅 and 大越匡 and 中澤仁}, url = {https://ci.nii.ac.jp/naid/170000180547/en/}, issn = {1882-7764}, year = {2019}, date = {2019-01-01}, journal = {情報処理学会論文誌}, volume = {60}, number = {10}, pages = {1881-1895}, abstract = {生活習慣病は，生活習慣が発症原因に深く関与する疾患の総称であり，癌などの三大死因の発症リスクを高める危険性がある．特に食事は，人間活動に必須であり日常的に行われるが，高カロリー・栄養バランスの悪い食事は生活習慣病につながる可能性が高い．健康な食生活を目指すために，主にモバイルデバイスに食事内容を記録する手法が利用されるが，栄養素の計算・記録負荷が大きく，また利用者がつねに能動的に記録を行う必要があり，継続利用には利用者個人の動機に依存する傾向がある．本研究では，これまでの食事内容の記録手法に「グループでのゲーム要素」および「食事内容に対する他者の評価」を加えることで，グループ全体での低負荷での食事の行動変容を促進する新たな記録手法，HealthyStadiumを提案する．HealthyStadiumはグループ内において食事画像の共有および，その健康度合いで対戦するソーシャルメディアである．健康度合いの評価は，1人1票の投票形式で行われ投票数の多い方が勝利となる．本アプリケーションを用いて，大学生10人を対象に28日間にわたる評価実験を実施した．既存の記録アプリケーションと比較して，HealthyStadiumでは食事の記録回数が20%上昇し，記録負担が低減した．さらに，行動変容ステージモデルの評価指数の1つである自己効力感を増加させる効果を確認できた． Lifestyle-related diseases are a general term for diseases in which lifestyle is deeply involved in the pathogenesis, and there is a risk of raising the risk of developing three major causes of death such as cancer. Diet, in particular, is essential for human activities and is carried out on a daily basis, but diets with high calorie and poor nutritional balance are likely to lead to lifestyle diseases. To aim for healthy eating habits, a method of recording dietary contents in mobile devices is mainly used, but calculation of nutrients and recording load are large and it is required to always positively record, so there is a tendency to depend on the motivation of individual users for continuous use. In this research, we propose “HealthyStadium”, a new recording method to promote eating behavior change in the whole group by adding “game element in group” and “evaluation of others to meal contents” to the existing recording method. HealthyStadium is a social media which shares meal photo in the group and makes users fight with its health degree. Evaluation of the degree of health is done by voting one by one person, and users with many votes win. Using this application, we conducted an evaluation experiment for 10 university students over 28 days. Compared with the existing recording application, the number of meals recordings increased by 20% in HealthyStadium, and the burden of the recording was alleviated. Furthermore, the self-efficacy which is one of the evaluation indexes of the behavior change stage model was also improving.}, keywords = {ゲーミフィケーション, ソーシャルメディア, 食事記録, 食生活}, pubstate = {published}, tppubtype = {article} } 生活習慣病は，生活習慣が発症原因に深く関与する疾患の総称であり，癌などの三大死因の発症リスクを高める危険性がある．特に食事は，人間活動に必須であり日常的に行われるが，高カロリー・栄養バランスの悪い食事は生活習慣病につながる可能性が高い．健康な食生活を目指すために，主にモバイルデバイスに食事内容を記録する手法が利用されるが，栄養素の計算・記録負荷が大きく，また利用者がつねに能動的に記録を行う必要があり，継続利用には利用者個人の動機に依存する傾向がある．本研究では，これまでの食事内容の記録手法に「グループでのゲーム要素」および「食事内容に対する他者の評価」を加えることで，グループ全体での低負荷での食事の行動変容を促進する新たな記録手法，HealthyStadiumを提案する．HealthyStadiumはグループ内において食事画像の共有および，その健康度合いで対戦するソーシャルメディアである．健康度合いの評価は，1人1票の投票形式で行われ投票数の多い方が勝利となる．本アプリケーションを用いて，大学生10人を対象に28日間にわたる評価実験を実施した．既存の記録アプリケーションと比較して，HealthyStadiumでは食事の記録回数が20%上昇し，記録負担が低減した．さらに，行動変容ステージモデルの評価指数の1つである自己効力感を増加させる効果を確認できた． Lifestyle-related diseases are a general term for diseases in which lifestyle is deeply involved in the pathogenesis, and there is a risk of raising the risk of developing three major causes of death such as cancer. Diet, in particular, is essential for human activities and is carried out on a daily basis, but diets with high calorie and poor nutritional balance are likely to lead to lifestyle diseases. To aim for healthy eating habits, a method of recording dietary contents in mobile devices is mainly used, but calculation of nutrients and recording load are large and it is required to always positively record, so there is a tendency to depend on the motivation of individual users for continuous use. In this research, we propose “HealthyStadium”, a new recording method to promote eating behavior change in the whole group by adding “game element in group” and “evaluation of others to meal contents” to the existing recording method. HealthyStadium is a social media which shares meal photo in the group and makes users fight with its health degree. Evaluation of the degree of health is done by voting one by one person, and users with many votes win. Using this application, we conducted an evaluation experiment for 10 university students over 28 days. Compared with the existing recording application, the number of meals recordings increased by 20% in HealthyStadium, and the burden of the recording was alleviated. Furthermore, the self-efficacy which is one of the evaluation indexes of the behavior change stage model was also improving. |
| 30. | Chenwei Song, Masaki Ito, Yuuki Nishiyama, Kaoru Sezaki Using Mobile Sensing Technology for Capturing People Mobility Information Inproceedings In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, pp. 33–40, Association for Computing Machinery, Chicago, IL, USA, 2019, ISBN: 9781450369640. BibTeX | Tags: Bluetooth, Crowd detection, Human mobility | Links: @inproceedings{10.1145/3356995.3364541, title = {Using Mobile Sensing Technology for Capturing People Mobility Information}, author = {Chenwei Song and Masaki Ito and Yuuki Nishiyama and Kaoru Sezaki}, url = {https://doi.org/10.1145/3356995.3364541}, doi = {10.1145/3356995.3364541}, isbn = {9781450369640}, year = {2019}, date = {2019-01-01}, booktitle = {Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility}, pages = {33–40}, publisher = {Association for Computing Machinery}, address = {Chicago, IL, USA}, series = {PredictGIS’19}, keywords = {Bluetooth, Crowd detection, Human mobility}, pubstate = {published}, tppubtype = {inproceedings} } |
| 31. | Takuro Yonezawa, Yuuki Nishiyama, Kei Hiroi, Nobuo Kawaguchi Capturing Subjective Time as Context and It’s Applications (Poster) Inproceedings In: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, pp. 647–648, Association for Computing Machinery, Seoul, Republic of Korea, 2019, ISBN: 9781450366618. Abstract | BibTeX | Tags: context-awareness, experience sampling method, subjective time | Links: @inproceedings{10.1145/3307334.3328719, title = {Capturing Subjective Time as Context and It’s Applications (Poster)}, author = {Takuro Yonezawa and Yuuki Nishiyama and Kei Hiroi and Nobuo Kawaguchi}, url = {https://doi.org/10.1145/3307334.3328719}, doi = {10.1145/3307334.3328719}, isbn = {9781450366618}, year = {2019}, date = {2019-01-01}, booktitle = {Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services}, pages = {647–648}, publisher = {Association for Computing Machinery}, address = {Seoul, Republic of Korea}, series = {MobiSys ’19}, abstract = {We propose an integrated framework for sensing, recognizing and utilizing of subjective time as context. Various studies on experimental psychology have showed several factors which affects subjective time. Those factors should be partially captured by ubiquitous sensors such as smartphones and wearable devices, therefore, we tackle to create common and individual model for subjective time based on the sensor data. We report our first prototype implementation for the framework based on AWARE framework with adding experience sampling method for subjective time recognition. In addition, we discuss potential applications which leveraging advantages of subjective time as context.}, keywords = {context-awareness, experience sampling method, subjective time}, pubstate = {published}, tppubtype = {inproceedings} } We propose an integrated framework for sensing, recognizing and utilizing of subjective time as context. Various studies on experimental psychology have showed several factors which affects subjective time. Those factors should be partially captured by ubiquitous sensors such as smartphones and wearable devices, therefore, we tackle to create common and individual model for subjective time based on the sensor data. We report our first prototype implementation for the framework based on AWARE framework with adding experience sampling method for subjective time recognition. In addition, we discuss potential applications which leveraging advantages of subjective time as context. |
| 32. | Elina Kuosmanen, Valerii Kan, Julio Vega, Aku Visuri, Yuuki Nishiyama, Anind K Dey, Simon Harper, Denzil Ferreira Challenges of Parkinson’s Disease: User Experiences with STOP Inproceedings In: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, Association for Computing Machinery, Taipei, Taiwan, 2019, ISBN: 9781450368254. Abstract | BibTeX | Tags: empirical evaluation, logging, Parkinson’s disease, smartphone | Links: @inproceedings{10.1145/3338286.3340133, title = {Challenges of Parkinson’s Disease: User Experiences with STOP}, author = {Elina Kuosmanen and Valerii Kan and Julio Vega and Aku Visuri and Yuuki Nishiyama and Anind K Dey and Simon Harper and Denzil Ferreira}, url = {https://doi.org/10.1145/3338286.3340133}, doi = {10.1145/3338286.3340133}, isbn = {9781450368254}, year = {2019}, date = {2019-01-01}, booktitle = {Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services}, publisher = {Association for Computing Machinery}, address = {Taipei, Taiwan}, series = {MobileHCI ’19}, abstract = {Parkinson's disease (PD) is the second most common neurodegenerative disorder, impacting an estimated seven to ten million people worldwide. Measuring the symptoms and progress of the disease, and medication effectiveness is currently performed using subjective measures and visual estimation. We developed and evaluated a mobile application, STOP for tracking hand's motor symptoms, and a medication journal for recording medication intake. We followed 13 PD patients from two countries for a 1-month long real-world deployment. We found that PD patients are willing to use digital tools, such as STOP, to track their medication intake and symptoms, and are also willing to share such data with their caregivers and medical personnel to improve their own care.}, keywords = {empirical evaluation, logging, Parkinson’s disease, smartphone}, pubstate = {published}, tppubtype = {inproceedings} } Parkinson's disease (PD) is the second most common neurodegenerative disorder, impacting an estimated seven to ten million people worldwide. Measuring the symptoms and progress of the disease, and medication effectiveness is currently performed using subjective measures and visual estimation. We developed and evaluated a mobile application, STOP for tracking hand's motor symptoms, and a medication journal for recording medication intake. We followed 13 PD patients from two countries for a 1-month long real-world deployment. We found that PD patients are willing to use digital tools, such as STOP, to track their medication intake and symptoms, and are also willing to share such data with their caregivers and medical personnel to improve their own care. |
2018 |
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| 33. | Naohiro Isokawa, Wataru Sasaki, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa Fish Species Annotation System for Environmental Detection by Marine Life as a Sensor Inproceedings Open Access In: HCI Outdoors: A CHI 2018 Workshop on Understanding Human-Computer Interaction in the Outdoor, Canada, Montreal, 2018. Abstract | BibTeX | Tags: Annotation system, Movie processing, Ocean, Oceanography | Links: @inproceedings{isokawa2018, title = {Fish Species Annotation System for Environmental Detection by Marine Life as a Sensor}, author = {Naohiro Isokawa and Wataru Sasaki and Yuuki Nishiyama and Tadashi Okoshi and Jin Nakazawa}, url = {http://hcioutdoors.net/wp-content/uploads/2018/03/Isokawa-fish-species-annotation.pdf}, year = {2018}, date = {2018-04-21}, booktitle = { HCI Outdoors: A CHI 2018 Workshop on Understanding Human-Computer Interaction in the Outdoor, Canada, Montreal}, abstract = {The ocean was born on the earth 4.6 billion years ago. Life was born in the ocean, further evolved creatures created oxygen in the ocean, and that oxygen also changed the atmospheric composition of the Earth. From ancient times life has received many benefits from the ocean. Even in recent years, fluctuations in the marine environment are drawing attention as one of the major environmental problems. Because there is a possibility that it will have a big influence on human society and ecosystem. Therefore, in the field of oceanography, research to detect and predict changes in the marine environment in various ways is actively conducted. We aim to detect changes in the marine environment from the behavior of marine organisms (mainly fish). In this paper, we implemented a system for annotation of fish species which is an important module for our research. This system aims to collect accurate data on fish species by targeting professional oceanographers. For motivation for annotation work, the system provides analytical results and generation models as rewards for work. We also conducted a questionnaire survey of 14 professors, researchers, and students specializing in oceanography for annotation system.}, keywords = {Annotation system, Movie processing, Ocean, Oceanography}, pubstate = {published}, tppubtype = {inproceedings} } The ocean was born on the earth 4.6 billion years ago. Life was born in the ocean, further evolved creatures created oxygen in the ocean, and that oxygen also changed the atmospheric composition of the Earth. From ancient times life has received many benefits from the ocean. Even in recent years, fluctuations in the marine environment are drawing attention as one of the major environmental problems. Because there is a possibility that it will have a big influence on human society and ecosystem. Therefore, in the field of oceanography, research to detect and predict changes in the marine environment in various ways is actively conducted. We aim to detect changes in the marine environment from the behavior of marine organisms (mainly fish). In this paper, we implemented a system for annotation of fish species which is an important module for our research. This system aims to collect accurate data on fish species by targeting professional oceanographers. For motivation for annotation work, the system provides analytical results and generation models as rewards for work. We also conducted a questionnaire survey of 14 professors, researchers, and students specializing in oceanography for annotation system. |
| 34. | Jin Nakazawa, Wataru Sasaki, Mikio Obuchi, Kazuki Egashira, Yuuki Nishiyama, Tadashi Okoshi, Takuro Yonezawa, Hideyuki Tokuda A Platform for Mutual Watch-Over among the Elderly Using PAN and Gamification Journal Article In: The IEICE transactions on information and systems, J101-D (2), pp. 306-319, 2018. Abstract | BibTeX | Tags: elderly care, gamification, personal area network @article{Nakazawa2018APF, title = {A Platform for Mutual Watch-Over among the Elderly Using PAN and Gamification}, author = {Jin Nakazawa and Wataru Sasaki and Mikio Obuchi and Kazuki Egashira and Yuuki Nishiyama and Tadashi Okoshi and Takuro Yonezawa and Hideyuki Tokuda}, year = {2018}, date = {2018-01-01}, journal = {The IEICE transactions on information and systems}, volume = {J101-D}, number = {2}, pages = {306-319}, abstract = {This paper proposes a platform, called Kugenuma Happy Board, that strengthens communication among elderly in local community for mutual watch-over among them. The platform motivates users to join the mutual watch-over leveraging health-related data acquired from a personal area network (PAN), sharing selfy pictures of smiley face among community, and gamification techniques including missions, scoring, and rankings. We have conducted an in-the-wild experiment for 10 months in Fujisawa Kanagawa, Japan. The experiment showed that the platform accelerates information sharing thus mutual watch-over among users. Particularly, we have observed that elderly users perceived other users activity from shared information, such as step counts and selfy pictures, thus strengthened human relationship in the local community.}, keywords = {elderly care, gamification, personal area network}, pubstate = {published}, tppubtype = {article} } This paper proposes a platform, called Kugenuma Happy Board, that strengthens communication among elderly in local community for mutual watch-over among them. The platform motivates users to join the mutual watch-over leveraging health-related data acquired from a personal area network (PAN), sharing selfy pictures of smiley face among community, and gamification techniques including missions, scoring, and rankings. We have conducted an in-the-wild experiment for 10 months in Fujisawa Kanagawa, Japan. The experiment showed that the platform accelerates information sharing thus mutual watch-over among users. Particularly, we have observed that elderly users perceived other users activity from shared information, such as step counts and selfy pictures, thus strengthened human relationship in the local community. |
| 35. | Yusaku Eigen, Yuuki Nishiyama, Takuro Yonezawa, Tadashi Okoshi, Jin Nakazawa Meal Photo SNS with Mutual Healthiness Evaluation for Improving Users’ Eating Habits Inproceedings In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 339–342, Association for Computing Machinery, Singapore, Singapore, 2018, ISBN: 9781450359665. Abstract | BibTeX | Tags: Food journaling, gamification, Social media | Links: @inproceedings{10.1145/3267305.3267584, title = {Meal Photo SNS with Mutual Healthiness Evaluation for Improving Users’ Eating Habits}, author = {Yusaku Eigen and Yuuki Nishiyama and Takuro Yonezawa and Tadashi Okoshi and Jin Nakazawa}, url = {https://doi.org/10.1145/3267305.3267584}, doi = {10.1145/3267305.3267584}, isbn = {9781450359665}, year = {2018}, date = {2018-01-01}, booktitle = {Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers}, pages = {339–342}, publisher = {Association for Computing Machinery}, address = {Singapore, Singapore}, series = {UbiComp ’18}, abstract = {We propose a Meal Photo SNS (called HealthyStadium) for improving users' eating habits by mutually assessing each others' health. This application's method is to evaluates pictures of meals leads to the realization of sustainable journaling. In addition, we implement competitive awareness that motivates the users to improve their eating habits by allowing users to share their healthiness ranking amongst the users. Through our study, we confirmed that our system enables users to motivate for improving eating habits. Also we found the number of records is increased by our system.}, keywords = {Food journaling, gamification, Social media}, pubstate = {published}, tppubtype = {inproceedings} } We propose a Meal Photo SNS (called HealthyStadium) for improving users' eating habits by mutually assessing each others' health. This application's method is to evaluates pictures of meals leads to the realization of sustainable journaling. In addition, we implement competitive awareness that motivates the users to improve their eating habits by allowing users to share their healthiness ranking amongst the users. Through our study, we confirmed that our system enables users to motivate for improving eating habits. Also we found the number of records is increased by our system. |
| 36. | Yuuki Nishiyama, Anind K Dey, Denzil Ferreira, Takuro Yonezawa, Jin Nakazawa Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream Inproceedings Award In: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, pp. 291, Association for Computing Machinery, Barcelona, Spain, 2018, ISBN: 9781450359412. Abstract | BibTeX | Tags: data restreaming, extensible platform, multiple sensor-data streams, sensor-data embedded video | Links: @inproceedings{10.1145/3236112.3236154, title = {Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream}, author = {Yuuki Nishiyama and Anind K Dey and Denzil Ferreira and Takuro Yonezawa and Jin Nakazawa}, url = {https://github.com/tetujin/SenbayKit http://www.senbay.info/ https://youtu.be/lfUzxinGl24 https://www.yuukinishiyama.com/wp-content/uploads/2020/08/Senbay-MobileHCI2018-demo_preprint.pdf}, doi = {10.1145/3236112.3236154}, isbn = {9781450359412}, year = {2018}, date = {2018-01-01}, booktitle = {Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct}, pages = {291}, publisher = {Association for Computing Machinery}, address = {Barcelona, Spain}, series = {MobileHCI ’18}, abstract = {The spread of smartphones allows us to freely capture video and diverse hardware sensors' data (e.g., accel erometer, gyroscope). While recording such data is relatively simple, it is often challenging to share and restream this data to other people and applications. Such capability is very valuable for a range of applications such as a context-aware prototyping/developing platform, an integrated data recording and analysis tool, and a sensor-data based video editing system. To enable such complex operations, we propose Senbay, a platform for instant sensing, integrating, and restreaming multiple-sensor data streams. The platform embeds collected sensor data into a video frame using an animated two-dimensional barcode via real-time video processing. The video-embedded sensor data, dubbed Senbay Video, can be easily restreamed to other people and reused by data rich, context-aware applications.}, keywords = {data restreaming, extensible platform, multiple sensor-data streams, sensor-data embedded video}, pubstate = {published}, tppubtype = {inproceedings} } The spread of smartphones allows us to freely capture video and diverse hardware sensors' data (e.g., accel erometer, gyroscope). While recording such data is relatively simple, it is often challenging to share and restream this data to other people and applications. Such capability is very valuable for a range of applications such as a context-aware prototyping/developing platform, an integrated data recording and analysis tool, and a sensor-data based video editing system. To enable such complex operations, we propose Senbay, a platform for instant sensing, integrating, and restreaming multiple-sensor data streams. The platform embeds collected sensor data into a video frame using an animated two-dimensional barcode via real-time video processing. The video-embedded sensor data, dubbed Senbay Video, can be easily restreamed to other people and reused by data rich, context-aware applications. |
| 37. | Elina Kuosmanen, Valerii Kan, Aku Visuri, Julio Vega, Yuuki Nishiyama, Anind K Dey, Simon Harper, Denzil Ferreira Mobile-Based Monitoring of Parkinson’s Disease Inproceedings In: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, pp. 441–448, Association for Computing Machinery, Cairo, Egypt, 2018, ISBN: 9781450365949. BibTeX | Tags: empirical evaluation, gamification, logging, Parkinson’s disease, smartphone | Links: @inproceedings{10.1145/3282894.3289737, title = {Mobile-Based Monitoring of Parkinson’s Disease}, author = {Elina Kuosmanen and Valerii Kan and Aku Visuri and Julio Vega and Yuuki Nishiyama and Anind K Dey and Simon Harper and Denzil Ferreira}, url = {https://doi.org/10.1145/3282894.3289737}, doi = {10.1145/3282894.3289737}, isbn = {9781450365949}, year = {2018}, date = {2018-01-01}, booktitle = {Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia}, pages = {441–448}, publisher = {Association for Computing Machinery}, address = {Cairo, Egypt}, series = {MUM 2018}, keywords = {empirical evaluation, gamification, logging, Parkinson’s disease, smartphone}, pubstate = {published}, tppubtype = {inproceedings} } |
2017 |
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| 38. | Yuuki Nishiyama Enhancing Team-Level Behavior Change Using Information Sharing PhD Thesis Self Archive Graduate School of Media and Governance, Keio University, 2017. BibTeX | Tags: チーム, ユビキタスコンピューティング, ライフログ, 情報共有, 行動変容 | Links: @phdthesis{phd_yuukinishiyama, title = {Enhancing Team-Level Behavior Change Using Information Sharing}, author = {Yuuki Nishiyama}, url = {https://www.ht.sfc.keio.ac.jp/~tetujin/pub/phd/tetujin_phd_thesis.pdf}, year = {2017}, date = {2017-09-01}, address = {Fujisawa, Japan}, school = {Graduate School of Media and Governance, Keio University}, keywords = {チーム, ユビキタスコンピューティング, ライフログ, 情報共有, 行動変容}, pubstate = {published}, tppubtype = {phdthesis} } |
| 39. | 石川伶, 佐々木航, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁, 高汐一紀, 徳田英幸 Likeyboard: ライフログデータ共有簡易化のためのスマートフォンキーボードインタフェース Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–6, 情報処理学会, 2017, ISBN: 2188-8698. Abstract | BibTeX | Tags: | Links: @inproceedings{weko_178211_1, title = {Likeyboard: ライフログデータ共有簡易化のためのスマートフォンキーボードインタフェース}, author = {石川伶 and 佐々木航 and 西山勇毅 and 大越匡 and 米澤拓郎 and 中澤仁 and 高汐一紀 and 徳田英幸}, url = {http://id.nii.ac.jp/1001/00178123/}, isbn = {2188-8698}, year = {2017}, date = {2017-03-02}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = { 2017-UBI-53}, number = {12}, pages = {1--6}, publisher = {情報処理学会}, institution = {慶應義塾大学環境情報学部, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部}, abstract = { 近年，食事や睡眠，運動量などを記録するライフログに対する関心が高まってきている．スマートフォンやウェアラブルデバイスなど，様々なライフログデータを検知可能なデバイスの普及し，様々なライフログデータが蓄積されている．しかし，蓄積されたライフログデータは，ライフログアプリケーションやウェブ API を通して個人の活動の振り返りには利用されているが，共有を行うユーザは少ない．ライフログデータの共有は更なるライフログデータ蓄積のモチベーションを向上や，新たなコミュケーションの創出，行動変容の促進にも繋がる．そこで本研究では，ライフログデータ共有の簡易化を目的とした，“Likeyboard” を提案する．“Likeyboard” は，スマートフォンのキーボードインタフェースを用いて 「ライフログデータの選択」 「日時の選択」 「出力形式の選択」 のみで，スマートフォン上でのライフログデータの共有を可能とする．大学生 12 人を被験者として，既存のライフログデータアプリとのインタフェースの比較実験を行った．その結果本システムが既存アプリよりライフログデータの共有が簡易化されたいう評価結果を得た．}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } 近年，食事や睡眠，運動量などを記録するライフログに対する関心が高まってきている．スマートフォンやウェアラブルデバイスなど，様々なライフログデータを検知可能なデバイスの普及し，様々なライフログデータが蓄積されている．しかし，蓄積されたライフログデータは，ライフログアプリケーションやウェブ API を通して個人の活動の振り返りには利用されているが，共有を行うユーザは少ない．ライフログデータの共有は更なるライフログデータ蓄積のモチベーションを向上や，新たなコミュケーションの創出，行動変容の促進にも繋がる．そこで本研究では，ライフログデータ共有の簡易化を目的とした，“Likeyboard” を提案する．“Likeyboard” は，スマートフォンのキーボードインタフェースを用いて 「ライフログデータの選択」 「日時の選択」 「出力形式の選択」 のみで，スマートフォン上でのライフログデータの共有を可能とする．大学生 12 人を被験者として，既存のライフログデータアプリとのインタフェースの比較実験を行った．その結果本システムが既存アプリよりライフログデータの共有が簡易化されたいう評価結果を得た． |
| 40. | 礒川直大, 西山勇毅, 大越匡, 中澤仁, 高汐一紀, 徳田英幸 TalkingNemoPad : Aquarium Fish Talks Its Mind for Breeding Support through Your iPad Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–8, 情報処理学会, 2017, ISBN: 2188-8698. Abstract | BibTeX | Tags: | Links: @inproceedings{weko_178225_1, title = {TalkingNemoPad : Aquarium Fish Talks Its Mind for Breeding Support through Your iPad}, author = {礒川直大 and 西山勇毅 and 大越匡 and 中澤仁 and 高汐一紀 and 徳田英幸}, url = {http://id.nii.ac.jp/1001/00178137/}, isbn = {2188-8698}, year = {2017}, date = {2017-03-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2017-UBI-53}, number = {26}, pages = {1--8}, publisher = {情報処理学会}, institution = {慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部}, abstract = { ペットとしての生き物を飼育する際には，飼い主がペットの状態を正しく理解できず，ペットの体調管理は難しくなっている．世界中で最も飼育されているペットである観賞魚においては特に飼い主とペットとのコミュニケーションがより困難であるため，犬や猫などと比較してもそのような状況に陥りやすい．そのため，飼い主と観賞魚とのインタラクションを促進し，観賞魚飼育に役立てる研究が行われているが，それらのシステムは特定の水槽においてのみ動作しているため，一般的な飼育者が用いることは難しく，また様々な種類の観賞魚に関するデータを一律に収集することができない．本稿では，広く普及したデバイス上で動作する飼い主と観賞魚のインタラクションシステム “TalkingNemoPad” を提案する．TalkingNemoPad には，ユーザのタブレット上で動作し，観賞魚を飼育する人の多くが導入 ・ 実用可能という特徴がある．また，これにより様々な観賞魚飼育環境から広くデータを収集することが可能となる．本稿では，TalkingNemoPad が一般的な観賞魚飼育環境下でに使用可能であることを示すために，環境の異なる複数の水槽を用い，本システムの適用可能な観賞魚の飼育環境について評価する．}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } ペットとしての生き物を飼育する際には，飼い主がペットの状態を正しく理解できず，ペットの体調管理は難しくなっている．世界中で最も飼育されているペットである観賞魚においては特に飼い主とペットとのコミュニケーションがより困難であるため，犬や猫などと比較してもそのような状況に陥りやすい．そのため，飼い主と観賞魚とのインタラクションを促進し，観賞魚飼育に役立てる研究が行われているが，それらのシステムは特定の水槽においてのみ動作しているため，一般的な飼育者が用いることは難しく，また様々な種類の観賞魚に関するデータを一律に収集することができない．本稿では，広く普及したデバイス上で動作する飼い主と観賞魚のインタラクションシステム “TalkingNemoPad” を提案する．TalkingNemoPad には，ユーザのタブレット上で動作し，観賞魚を飼育する人の多くが導入 ・ 実用可能という特徴がある．また，これにより様々な観賞魚飼育環境から広くデータを収集することが可能となる．本稿では，TalkingNemoPad が一般的な観賞魚飼育環境下でに使用可能であることを示すために，環境の異なる複数の水槽を用い，本システムの適用可能な観賞魚の飼育環境について評価する． |
| 41. | 片山晋, 礒川直大, 小渕幹夫, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁, 高汐一紀, 徳田英幸 SpoTrip : 観光客リピータ化促進のための隠れスポット情報提供システムの評価 Journal Article In: 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116 (508), pp. 157-164, 2017, ISSN: 0913-5685. BibTeX | Tags: | Links: @article{40021159040, title = {SpoTrip : 観光客リピータ化促進のための隠れスポット情報提供システムの評価}, author = {片山晋 and 礒川直大 and 小渕幹夫 and 西山勇毅 and 大越匡 and 米澤拓郎 and 中澤仁 and 高汐一紀 and 徳田英幸}, url = {https://ci.nii.ac.jp/naid/40021159040/}, issn = {0913-5685}, year = {2017}, date = {2017-03-01}, journal = {電子情報通信学会技術研究報告 = IEICE technical report : 信学技報}, volume = {116}, number = {508}, pages = {157-164}, publisher = {電子情報通信学会}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
| 42. | 小渕幹夫, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁 MyFactor：ユーザの内面状態に寄与する因子情報の個人特性に適応的な分析 Journal Article In: 情報処理学会論文誌, 58 (10), pp. 1674-1687, 2017, ISSN: 1882-7764. Abstract | BibTeX | Tags: | Links: @article{170000148994, title = {MyFactor：ユーザの内面状態に寄与する因子情報の個人特性に適応的な分析}, author = {小渕幹夫 and 西山勇毅 and 大越匡 and 米澤拓郎 and 中澤仁}, url = {https://ci.nii.ac.jp/naid/170000148994/}, issn = {1882-7764}, year = {2017}, date = {2017-01-01}, journal = {情報処理学会論文誌}, volume = {58}, number = {10}, pages = {1674-1687}, abstract = {近年，様々なセンサを搭載したスマートフォンの発達と普及により，第三者による客観視が困難である「忙しい」や「疲れている」といった人間の内面状態の推定を行う研究が行われている．人間の内面状態を機械に認識させ，内面状態に寄与している因子に関する情報を人々に還元できれば，人間が自身の感情や気分を制御したり，特定の内面状態の獲得や回避といった行動変容へと応用可能である．しかし，人間の内面状態の認識・分析・還元においては，各個人の多様性に適応した動作の実現が課題である．本研究ではスマートフォンのセンサデータを蓄積し，正解データとなる内面状態の注釈をユーザが記録することで，個人の内面状態に寄与している因子を還元するために，因子情報を解析するシステム「MyFactor」を構築した．大学生13名による111日にわたる評価実験を行った結果，被験者全員のデータを用いて学習を行う「統合モデル」と比較して，各ユーザのデータのみを用いて個別に学習した「個人モデル」においては内面状態の推定精度が21%上昇した．また，利用可能なすべてのセンサからのデータを用いて学習した場合よりも，単一センサからのデータのみを用いて学習を行い，最も高精度で分類を行ったモデルを選択した方が高い推定精度を記録し，ユーザに自身の内面状態に関して深い理解を与える可能性を示した． Recently, due to the advance and spread of smartphones equipped with various sensors, human beings' inner states such as "busyness" or "tiredness" can be detected more accurately. If people can recognize the factors contributing to their inner states, they will be able to regulate their own emotions and moods by paying attention to those factors. However, the adaptive system for each individual's diversity that recognize, analyze, and provide the factors contributing to our inner state is not realized. In this research, we propose a system, MyFactor, that accumulates smartphone sensor data and user annotations about inner states to extract and provide information about the important factors contributing to a user's inner states. In a 111-day experiment with 13 university students, researchers estimated that an "individual model" developed only with the data of each user had a higher predictive accuracy for human inner states than the generic model developed using data from all subjects. In addition, the model with the highest predictive accuracy, trained by a single sensor, performed better and showed the possibility of giving a deeper understanding of human inner states than the model trained using data from all available sensors.}, keywords = {}, pubstate = {published}, tppubtype = {article} } 近年，様々なセンサを搭載したスマートフォンの発達と普及により，第三者による客観視が困難である「忙しい」や「疲れている」といった人間の内面状態の推定を行う研究が行われている．人間の内面状態を機械に認識させ，内面状態に寄与している因子に関する情報を人々に還元できれば，人間が自身の感情や気分を制御したり，特定の内面状態の獲得や回避といった行動変容へと応用可能である．しかし，人間の内面状態の認識・分析・還元においては，各個人の多様性に適応した動作の実現が課題である．本研究ではスマートフォンのセンサデータを蓄積し，正解データとなる内面状態の注釈をユーザが記録することで，個人の内面状態に寄与している因子を還元するために，因子情報を解析するシステム「MyFactor」を構築した．大学生13名による111日にわたる評価実験を行った結果，被験者全員のデータを用いて学習を行う「統合モデル」と比較して，各ユーザのデータのみを用いて個別に学習した「個人モデル」においては内面状態の推定精度が21%上昇した．また，利用可能なすべてのセンサからのデータを用いて学習した場合よりも，単一センサからのデータのみを用いて学習を行い，最も高精度で分類を行ったモデルを選択した方が高い推定精度を記録し，ユーザに自身の内面状態に関して深い理解を与える可能性を示した． Recently, due to the advance and spread of smartphones equipped with various sensors, human beings' inner states such as "busyness" or "tiredness" can be detected more accurately. If people can recognize the factors contributing to their inner states, they will be able to regulate their own emotions and moods by paying attention to those factors. However, the adaptive system for each individual's diversity that recognize, analyze, and provide the factors contributing to our inner state is not realized. In this research, we propose a system, MyFactor, that accumulates smartphone sensor data and user annotations about inner states to extract and provide information about the important factors contributing to a user's inner states. In a 111-day experiment with 13 university students, researchers estimated that an "individual model" developed only with the data of each user had a higher predictive accuracy for human inner states than the generic model developed using data from all subjects. In addition, the model with the highest predictive accuracy, trained by a single sensor, performed better and showed the possibility of giving a deeper understanding of human inner states than the model trained using data from all available sensors. |
| 43. | Wataru Sasaki, Mikio Obuchi, Kazuki Egashira, Naohiro Isokawa, Yuki Furukawa, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa Poster: Extensive Evaluation of Emotional Contagion on Smiling Selfies over Social Network Inproceedings In: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, pp. 180, Association for Computing Machinery, Niagara Falls, New York, USA, 2017, ISBN: 9781450349284. Abstract | BibTeX | Tags: emotional contagion, Mobile sensing, social network | Links: @inproceedings{10.1145/3081333.3089324, title = {Poster: Extensive Evaluation of Emotional Contagion on Smiling Selfies over Social Network}, author = {Wataru Sasaki and Mikio Obuchi and Kazuki Egashira and Naohiro Isokawa and Yuki Furukawa and Yuuki Nishiyama and Tadashi Okoshi and Jin Nakazawa}, url = {https://doi.org/10.1145/3081333.3089324}, doi = {10.1145/3081333.3089324}, isbn = {9781450349284}, year = {2017}, date = {2017-01-01}, booktitle = {Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services}, pages = {180}, publisher = {Association for Computing Machinery}, address = {Niagara Falls, New York, USA}, series = {MobiSys ’17}, abstract = {We propose "SmileWave", the first selfie social networking service to reveal the existence of emotional cognation through smiling selfies on the social network. We conducted multiple rounds of in-the-wild user studies with 86 cumulative total users for total duration of 5 weeks. Throughout the entire study, we confirmed the occurrence of smile-based emotional contagion over social network, not only in the momentary duration but in longer term period.}, keywords = {emotional contagion, Mobile sensing, social network}, pubstate = {published}, tppubtype = {inproceedings} } We propose "SmileWave", the first selfie social networking service to reveal the existence of emotional cognation through smiling selfies on the social network. We conducted multiple rounds of in-the-wild user studies with 86 cumulative total users for total duration of 5 weeks. Throughout the entire study, we confirmed the occurrence of smile-based emotional contagion over social network, not only in the momentary duration but in longer term period. |
| 44. | 栄元優作, 江頭和輝, 河野慎, 西山勇毅, 大越匡, 米澤拓郎, 高汐一紀, 中澤仁 HealthFight: 多数決を用いた食習慣改善ソーシャルメディア Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2017. Abstract | BibTeX | Tags: | Links: @inproceedings{weko_183088_1, title = {HealthFight: 多数決を用いた食習慣改善ソーシャルメディア}, author = {栄元優作 and 江頭和輝 and 河野慎 and 西山勇毅 and 大越匡 and 米澤拓郎 and 高汐一紀 and 中澤仁}, url = {http://id.nii.ac.jp/1001/00183000/}, doi = {2188-8698}, year = {2017}, date = {2017-01-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2017-UBI-55}, number = {16}, pages = {1--7}, publisher = {情報処理学会}, institution = {慶應義塾大学環境情報学部, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部}, abstract = {近年，食習慣の悪化による肥満が社会問題となり，継続的な食習慣の改善手法が求められている．継続して日々の習慣を変えるには動機の維持向上が重要であり，ユーザの同期を持続させる手法として，ゲームのメカニズムを用いたゲーミフィケーション手法が提案されている．ゲーミフィケーション手法の 1 つである 「競争手法」 は，歩数などのユーザの行動量を可視化し，他者との優劣を意識させることで，動機の維持向上を促す．しかし食事分野では，食事指標として知られるカロリー値の正確な算出が難しく，計算には労力がかかるため，競争の適用が困難である．本研究では本問題を解決するために，ユーザ間で食事の健康度合いを競わせるシステム 「HealthFight」 を構築し有効性を評価する．本システムは食事画像を共有するソーシャルメディアであり，投稿した食事画像の 「ヘルシーさ」 をユーザ間で競わせる．競争相手は食事ごとに更新されるため，ユーザは食事ごとに違った楽しさを感じられ，継続した利用が見込める．本システムによる食習慣の変化を評価するため，7 人の被験者に対して 20 日間の実験を行った．その結果，他者の評価を気にしやすい被験者の食生活は，健康的になる傾向が見られた．}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } 近年，食習慣の悪化による肥満が社会問題となり，継続的な食習慣の改善手法が求められている．継続して日々の習慣を変えるには動機の維持向上が重要であり，ユーザの同期を持続させる手法として，ゲームのメカニズムを用いたゲーミフィケーション手法が提案されている．ゲーミフィケーション手法の 1 つである 「競争手法」 は，歩数などのユーザの行動量を可視化し，他者との優劣を意識させることで，動機の維持向上を促す．しかし食事分野では，食事指標として知られるカロリー値の正確な算出が難しく，計算には労力がかかるため，競争の適用が困難である．本研究では本問題を解決するために，ユーザ間で食事の健康度合いを競わせるシステム 「HealthFight」 を構築し有効性を評価する．本システムは食事画像を共有するソーシャルメディアであり，投稿した食事画像の 「ヘルシーさ」 をユーザ間で競わせる．競争相手は食事ごとに更新されるため，ユーザは食事ごとに違った楽しさを感じられ，継続した利用が見込める．本システムによる食習慣の変化を評価するため，7 人の被験者に対して 20 日間の実験を行った．その結果，他者の評価を気にしやすい被験者の食生活は，健康的になる傾向が見られた． |
2016 |
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| 45. | 江頭和輝, 古川侑紀, 西山勇毅, 大越匡, 米澤拓郎, 中澤仁, 高汐一紀, 徳田英幸 NiSleep: ゲーミフィケーションを適用可能な睡眠評価 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–6, 情報処理学会, 2016. Abstract | BibTeX | Tags: | Links: @inproceedings{weko_160676_1, title = {NiSleep: ゲーミフィケーションを適用可能な睡眠評価}, author = {江頭和輝 and 古川侑紀 and 西山勇毅 and 大越匡 and 米澤拓郎 and 中澤仁 and 高汐一紀 and 徳田英幸}, url = {http://id.nii.ac.jp/1001/00160642/}, year = {2016}, date = {2016-05-01}, booktitle = {研究報告ユビキタスコンピューティングシステム（UBI）}, volume = {2016-UBI-50}, number = {2}, pages = {1--6}, publisher = {情報処理学会}, institution = {慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学大学院政策・メディア研究科, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部, 慶應義塾大学環境情報学部}, abstract = {人気ゲームでよく使われるゲームデザインの技術を現実の問題解決に用いることをゲーミフィケーションと呼ぶ．しかし睡眠に関しては，必ずしも睡眠時間が長いほど良い睡眠であるとは限らない特徴を持つため，既存のゲーミフィケーションを適用することが難しい．本研究ではゲーミフィケーションを適用可能な睡眠評価方式 「NiSleep」 を提案する．社会的な活動時間帯と生物時計の不一致によって生ずる不調を社会的ジェットラグと呼ぶ．そして，NiSleep 指数は社会的ジェットラグが解消される睡眠であるかを 「睡眠時間」 「睡眠中央時刻」 「睡眠効率」 を 100 点法で評価し，それらから最終的な評価点を算出する．NiSleep 指数を用いた睡眠評価を行う NiSleep アプリケーションを構築し，被験者 10 人に対して 28 日間にわたるユーザ環境上での実証評価実験を行った．睡眠評価指数の精度と使用者の睡眠行動の変化について検証した．その結果，提案した睡眠評価指数は社会的ジェットラグの特徴を再現 (r=-.440) した．}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } 人気ゲームでよく使われるゲームデザインの技術を現実の問題解決に用いることをゲーミフィケーションと呼ぶ．しかし睡眠に関しては，必ずしも睡眠時間が長いほど良い睡眠であるとは限らない特徴を持つため，既存のゲーミフィケーションを適用することが難しい．本研究ではゲーミフィケーションを適用可能な睡眠評価方式 「NiSleep」 を提案する．社会的な活動時間帯と生物時計の不一致によって生ずる不調を社会的ジェットラグと呼ぶ．そして，NiSleep 指数は社会的ジェットラグが解消される睡眠であるかを 「睡眠時間」 「睡眠中央時刻」 「睡眠効率」 を 100 点法で評価し，それらから最終的な評価点を算出する．NiSleep 指数を用いた睡眠評価を行う NiSleep アプリケーションを構築し，被験者 10 人に対して 28 日間にわたるユーザ環境上での実証評価実験を行った．睡眠評価指数の精度と使用者の睡眠行動の変化について検証した．その結果，提案した睡眠評価指数は社会的ジェットラグの特徴を再現 (r=-.440) した． |
| 46. | Wataru Sasaki, Yuki Furukawa, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa, Hideyuki Tokuda Poster Abstract: SmileWave - Sensing and Analysis of Smile-Based Emotional Contagion over Social Network Inproceedings In: 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 1-2, IEEE, Vienna, Austria, 2016, ISBN: 978-1-5090-0802-5. Abstract | BibTeX | Tags: | Links: @inproceedings{7460714, title = {Poster Abstract: SmileWave - Sensing and Analysis of Smile-Based Emotional Contagion over Social Network}, author = {Wataru Sasaki and Yuki Furukawa and Yuuki Nishiyama and Tadashi Okoshi and Jin Nakazawa and Hideyuki Tokuda}, doi = {10.1109/IPSN.2016.7460714}, isbn = {978-1-5090-0802-5}, year = {2016}, date = {2016-04-28}, booktitle = {2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)}, pages = {1-2}, publisher = {IEEE}, address = {Vienna, Austria}, abstract = {This paper proposes ''SmileWave", a system for revealing smile-based emotional contagion, propagation effect of the similar emotion through smiley facial expression, on the social network where users interact each other through web-based user interface rather than in-person interaction. SmileWave is a picture-based networking service and detects the change of smile degree when the user looks at posted smile images of others. Our extensive user study with 50 participants for 30 days confirmed the emotional contagion effect on SmileWave. Users' smile degree improved by 27% when the user looked at posted smile images. The result also proved that there is a stronger effect on smile-based emotional contagion when the examinee and the person in the image are in close relationship.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } This paper proposes ''SmileWave", a system for revealing smile-based emotional contagion, propagation effect of the similar emotion through smiley facial expression, on the social network where users interact each other through web-based user interface rather than in-person interaction. SmileWave is a picture-based networking service and detects the change of smile degree when the user looks at posted smile images of others. Our extensive user study with 50 participants for 30 days confirmed the emotional contagion effect on SmileWave. Users' smile degree improved by 27% when the user looked at posted smile images. The result also proved that there is a stronger effect on smile-based emotional contagion when the examinee and the person in the image are in close relationship. |
| 47. | 小出粋玄, 西山勇毅, 大越匡, 米澤拓郎, 高汐一紀, 中澤仁, 徳田英幸 MyTime : タイムマネジメントの促進を目的としたアプリケーション使用時間自動記録システムの提案 Inproceedings In: 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, pp. 177-182, 電子情報通信学会, 2016, ISSN: 0913-5685. BibTeX | Tags: | Links: @inproceedings{40020759069, title = {MyTime : タイムマネジメントの促進を目的としたアプリケーション使用時間自動記録システムの提案}, author = {小出粋玄 and 西山勇毅 and 大越匡 and 米澤拓郎 and 高汐一紀 and 中澤仁 and 徳田英幸}, url = {https://ci.nii.ac.jp/naid/40020759069/}, issn = {0913-5685}, year = {2016}, date = {2016-02-01}, booktitle = {電子情報通信学会技術研究報告 = IEICE technical report : 信学技報}, volume = {115}, number = {467}, pages = {177-182}, publisher = {電子情報通信学会}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
| 48. | 小渕幹夫, 古川侑紀, 西山勇毅, 大越匡, 米澤拓郎, 高汐一紀, 中澤仁, 徳田英幸 MyFactor : ライフログを用いたユーザの内面状態に関する因子分析 Inproceedings In: 電子情報通信学会技術研究報告, pp. 39-44, 電子情報通信学会, 2016, ISSN: 0913-5685. BibTeX | Tags: | Links: @inproceedings{40020758536, title = {MyFactor : ライフログを用いたユーザの内面状態に関する因子分析}, author = {小渕幹夫 and 古川侑紀 and 西山勇毅 and 大越匡 and 米澤拓郎 and 高汐一紀 and 中澤仁 and 徳田英幸}, url = {https://ci.nii.ac.jp/naid/40020758536/}, issn = {0913-5685}, year = {2016}, date = {2016-02-01}, booktitle = {電子情報通信学会技術研究報告}, journal = {電子情報通信学会技術研究報告 = IEICE technical report : 信学技報}, volume = {115}, number = {467}, pages = {39-44}, publisher = {電子情報通信学会}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
| 49. | Kazuki Egashira, Yuki Furukawa, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa, Hideyuki Tokuda Poster: NiSleep: Gamification-Friendly Quantitative Evaluation Methodology of Sleep Quality Inproceedings In: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, pp. 132, Association for Computing Machinery, Singapore, Singapore, 2016, ISBN: 9781450344166. BibTeX | Tags: gamification, life log, sleep, sleep evaluation, social jet lag | Links: @inproceedings{10.1145/2938559.2938603, title = {Poster: NiSleep: Gamification-Friendly Quantitative Evaluation Methodology of Sleep Quality}, author = {Kazuki Egashira and Yuki Furukawa and Yuuki Nishiyama and Tadashi Okoshi and Jin Nakazawa and Hideyuki Tokuda}, url = {https://doi.org/10.1145/2938559.2938603}, doi = {10.1145/2938559.2938603}, isbn = {9781450344166}, year = {2016}, date = {2016-01-01}, booktitle = {Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion}, pages = {132}, publisher = {Association for Computing Machinery}, address = {Singapore, Singapore}, series = {MobiSys ’16 Companion}, keywords = {gamification, life log, sleep, sleep evaluation, social jet lag}, pubstate = {published}, tppubtype = {inproceedings} } |
| 50. | Yuuki Nishiyama, Tadashi Okoshi, Takuro Yonezawa, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda Toward Health Exercise Behavior Change for Teams Using Lifelog Sharing Models Journal Article Open Access In: IEEE Journal of Biomedical and Health Informatics, 20 (3), pp. 775-786, 2016, ISBN: 2168-2194. Abstract | BibTeX | Tags: Behavior change, healthcare, lifelog sharing, promoting exercise, team | Links: @article{7268837, title = {Toward Health Exercise Behavior Change for Teams Using Lifelog Sharing Models}, author = {Yuuki Nishiyama and Tadashi Okoshi and Takuro Yonezawa and Jin Nakazawa and Kazunori Takashio and Hideyuki Tokuda}, doi = {10.1109/JBHI.2015.2478903}, isbn = {2168-2194}, year = {2016}, date = {2016-01-01}, journal = {IEEE Journal of Biomedical and Health Informatics}, volume = {20}, number = {3}, pages = {775-786}, abstract = {Recent technological trends in mobile/wearable devices and sensors have been enabling an increasing number of people to collect and store their “lifelog” easily in their daily lives. Beyond exercise behavior change of individual users, our research focus is on the behavior change of teams, based on lifelogging technologies and lifelog sharing. In this paper, we propose and evaluate six different types of lifelog sharing models among team members for their exercise promotion, leveraging the concepts of “competition” and “collaboration.” According to our experimental mobile web application for exercise promotion and an extensive user study conducted with a total of 64 participants over a period of three weeks, the model with a “competition” technique resulted in the most effective performance for competitive teams, such as sports teams.}, keywords = {Behavior change, healthcare, lifelog sharing, promoting exercise, team}, pubstate = {published}, tppubtype = {article} } Recent technological trends in mobile/wearable devices and sensors have been enabling an increasing number of people to collect and store their “lifelog” easily in their daily lives. Beyond exercise behavior change of individual users, our research focus is on the behavior change of teams, based on lifelogging technologies and lifelog sharing. In this paper, we propose and evaluate six different types of lifelog sharing models among team members for their exercise promotion, leveraging the concepts of “competition” and “collaboration.” According to our experimental mobile web application for exercise promotion and an extensive user study conducted with a total of 64 participants over a period of three weeks, the model with a “competition” technique resulted in the most effective performance for competitive teams, such as sports teams. |
2021 |
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| 1. | 感染症流行時におけるスマートフォンを用いた 大学生の身体活動量分析（To appear） Journal Article In: 情報処理学会論文誌 ユビキタスコンピューティングシステム(X), 2021. |
| 2. | A Run-time Dynamic Computation Offloading Strategy in Vehicular Edge Computing (To appear) Inproceedings In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), IEEE, Online, 2021. |
| 3. | An Unsupervised Learning-based Approach for User Mobility Analysis of E-Scooter Sharing Systems (To appear) Inproceedings In: 2021 IEEE International Conference on Intelligent Transportation - ITSC, IEEE, 2021. |
| 4. | MiMoSense: An Open Crowdsensing Platform for Micro-Mobility (To appear) Inproceedings In: 2021 IEEE International Conference on Intelligent Transportation - ITSC, pp. 1-6, IEEE, 2021. |
| 5. | An Online Task Offloading Strategy in Vehicular Edge Computing (To appear) Inproceedings In: IEICE Society Conference 2021, IEICE, 2021. |
| 6. | 感染症予防行動を促進させるインセンティブモデルに関する一検討（To appear） Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2021. |
| 7. | 部屋毎の滞在時間特性を考慮した頑健な滞在場所推定手法（To appear） Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2021. |
| 8. | 感染症予防行動を促進させるインセンティブモデルの構築に向けて（To appear） Inproceedings In: 第20回情報科学技術フォーラム（FIT2021）, 情報処理学会, オンライン, 2021. |
| 9. | Towards Estimating UV Exposure Using GPS Signal Strength from a Carrying Smartphone (To appear) Inproceedings In: 4th International Workshop on Deep Learning on Edge for Smart Health and Wellbeing Applications (EdgeDL 2021), co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2021), IEEE, Irvine, Orange County, California, USA (Virtual Workshop), 2021. |
| 10. | MOCHA: Bluetoothビーコンを用いた学内位置情報サービスの開発・運用 Journal Article Open Access In: 画像電子学会誌, 50 (3), pp. 459-461, 2021, (ウィズコロナ・アフターコロナに向けた安心・安全・便利なキャンパスを目指して). |
| 11. | Towards Infectious Disease Risk Assessment in Taxis using Environmental Sensors Inproceedings In: Streitz, Norbert, Konomi, Shiníchi (Ed.): Distributed, Ambient and Pervasive Interactions, pp. 178–188, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-77015-0. |
| 12. | 感染症流行時におけるスマートフォンを用いた 大学生の身体活動量分析 Miscellaneous 情報処理学会論文誌 ユビキタスコンピューティングシステム(X), 2021. |
| 13. | Investigating the occurrence of selfie-based emotional contagion over social network Journal Article Open Access In: Social Network Analysis and Mining, 11 , pp. 8, 2021, ISSN: 1869-5450. |
2020 |
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| 14. | BLEビーコンを用いた屋内位置推定システムの設計と実装 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2020, ISBN: 2188-8698. |
| 15. | Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness Journal Article Open Access In: JMIR Mhealth Uhealth, 8 (11), pp. e21543, 2020, ISSN: 2291-5222. |
| 16. | 環境センサを用いたタクシー車室内における感染症リスク評価に関する一検討 Inproceedings In: 研究報告高度交通システムとスマートコミュニティ（ITS）, pp. 1–6, 情報処理学会, 2020, ISSN: 2188-8965. |
| 17. | Poster Abstract: SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic Inproceedings In: Proceedings of the 18th Conference on Embedded Networked Sensor Systems, Virtual Event, Japan, pp. 780–781, Association for Computing Machinery, New York, NY, USA, 2020, ISBN: 9781450375900. |
| 18. | Towards Estimating UV Light Intensity Using GPS Signal Strength Inproceedings In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 684–687, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768. |
| 19. | Using IOS for Inconspicuous Data Collection: A Real-World Assessment Inproceedings Self Archive In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 261–266, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768. |
| 20. | iOS Crowd-Sensing Won't Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform Inproceedings Self Archive In: Streitz, Norbert, Konomi, Shiníchi (Ed.): Distributed, Ambient and Pervasive Interactions, pp. 223–243, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-50344-4. |
| 21. | Non-Negative Tensor Factrization を用いたドックレス型マイクロモビリティの利用形態分類手法の検討 Inproceedings AwardSelf Archive In: 研究報告高度交通システムとスマートコミュニティ（ITS）, pp. 1–8, 情報処理学会, 2020, ISSN: 2188-8965. |
| 22. | GPS 信号受信状態を用いた紫外線量推定手法の検討 Inproceedings Award In: 研究報告ユビキタスコンピューティングシステム (UBI), pp. 1–7, 情報処理学会, 2020, ISSN: 2188-8698. |
| 23. | スマートフォンセンサを用いた気分情報を基にした都市空間評価手法に向けて Inproceedings In: 電子情報通信学会 電子情報通信学会総合大会, 広島大学東広島キャンパス, 2020. |
| 24. | In-the-Wild実験におけるiOS用モバイルセンシングフレームワークの性能評価 Inproceedings In: 電子情報通信学会技術研究報告: 信学技報, pp. 127-132, ライフインテリジェンスとオフィス情報システム(LOIS) 電子情報通信学会, 大濱信泉記念館（石垣島）, 2020, ISSN: 0913-5685. |
| 25. | Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study Journal Article Open Access In: JMIR Mhealth Uhealth, 8 (3), pp. e16240, 2020, ISSN: 2291-5222. |
| 26. | Mobile Sensing of Pedestrian Mobility and its Assessment Inproceedings In: IEICE Tech. Rep., pp. 121–126, Life Intelligence and Office Information Systems (LOIS) IEICE Technical Committee, 2020, ISBN: 0913-5685. |
| 27. | モバイルコンピューティングによるエモーショナル・イーティングの検知 Inproceedings In: 研究報告ユビキタスコンピューティングシステム (UBI), pp. 1–8, 情報処理学会, 2020, ISSN: 2188-8698. |
2019 |
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| 28. | 人の限定合理性を超越した行動変容支援に向けた情報プラッ トフォームの設計 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–6, 情報処理学会, 2019, ISSN: 2188-8698. |
| 29. | HealthyStadium: 他者評価とゲーミフィケーションを用いた食習慣改善ソーシャルメディア Journal Article In: 情報処理学会論文誌, 60 (10), pp. 1881-1895, 2019, ISSN: 1882-7764. |
| 30. | Using Mobile Sensing Technology for Capturing People Mobility Information Inproceedings In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, pp. 33–40, Association for Computing Machinery, Chicago, IL, USA, 2019, ISBN: 9781450369640. |
| 31. | Capturing Subjective Time as Context and It’s Applications (Poster) Inproceedings In: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, pp. 647–648, Association for Computing Machinery, Seoul, Republic of Korea, 2019, ISBN: 9781450366618. |
| 32. | Challenges of Parkinson’s Disease: User Experiences with STOP Inproceedings In: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, Association for Computing Machinery, Taipei, Taiwan, 2019, ISBN: 9781450368254. |
2018 |
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| 33. | Fish Species Annotation System for Environmental Detection by Marine Life as a Sensor Inproceedings Open Access In: HCI Outdoors: A CHI 2018 Workshop on Understanding Human-Computer Interaction in the Outdoor, Canada, Montreal, 2018. |
| 34. | A Platform for Mutual Watch-Over among the Elderly Using PAN and Gamification Journal Article In: The IEICE transactions on information and systems, J101-D (2), pp. 306-319, 2018. |
| 35. | Meal Photo SNS with Mutual Healthiness Evaluation for Improving Users’ Eating Habits Inproceedings In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 339–342, Association for Computing Machinery, Singapore, Singapore, 2018, ISBN: 9781450359665. |
| 36. | Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream Inproceedings Award In: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, pp. 291, Association for Computing Machinery, Barcelona, Spain, 2018, ISBN: 9781450359412. |
| 37. | Mobile-Based Monitoring of Parkinson’s Disease Inproceedings In: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, pp. 441–448, Association for Computing Machinery, Cairo, Egypt, 2018, ISBN: 9781450365949. |
2017 |
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| 38. | Enhancing Team-Level Behavior Change Using Information Sharing PhD Thesis Self Archive Graduate School of Media and Governance, Keio University, 2017. |
| 39. | Likeyboard: ライフログデータ共有簡易化のためのスマートフォンキーボードインタフェース Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–6, 情報処理学会, 2017, ISBN: 2188-8698. |
| 40. | TalkingNemoPad : Aquarium Fish Talks Its Mind for Breeding Support through Your iPad Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–8, 情報処理学会, 2017, ISBN: 2188-8698. |
| 41. | SpoTrip : 観光客リピータ化促進のための隠れスポット情報提供システムの評価 Journal Article In: 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 116 (508), pp. 157-164, 2017, ISSN: 0913-5685. |
| 42. | MyFactor：ユーザの内面状態に寄与する因子情報の個人特性に適応的な分析 Journal Article In: 情報処理学会論文誌, 58 (10), pp. 1674-1687, 2017, ISSN: 1882-7764. |
| 43. | Poster: Extensive Evaluation of Emotional Contagion on Smiling Selfies over Social Network Inproceedings In: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services, pp. 180, Association for Computing Machinery, Niagara Falls, New York, USA, 2017, ISBN: 9781450349284. |
| 44. | HealthFight: 多数決を用いた食習慣改善ソーシャルメディア Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–7, 情報処理学会, 2017. |
2016 |
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| 45. | NiSleep: ゲーミフィケーションを適用可能な睡眠評価 Inproceedings In: 研究報告ユビキタスコンピューティングシステム（UBI）, pp. 1–6, 情報処理学会, 2016. |
| 46. | Poster Abstract: SmileWave - Sensing and Analysis of Smile-Based Emotional Contagion over Social Network Inproceedings In: 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 1-2, IEEE, Vienna, Austria, 2016, ISBN: 978-1-5090-0802-5. |
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