Research
SelfGuard
Completed 2019 - 2022

SelfGuard

Self-tracking application for recording daily activities including visited places, mobility range, and duration using location sensors.

Self-Tracking Location Activity Recognition

Overview

During the COVID-19 pandemic, tracking daily activities and visited locations became important for self-protection. SelfGuard is a mobile application that semi-automatically tracks daily activities and enhances self-protection behavior using mobile sensing and gamified feedback.

Approach

  • Semi-automated tracking: Automatically recording visited places, mobility range, and duration using location sensors, with optional manual logging of place conditions
  • Gamified feedback: Encouraging self-protection behaviors (handwashing, mask wearing, staying home) through gamification elements
  • App Store deployment: Released as a publicly available iOS application for widespread adoption

Results

  • Deployed via the App Store with over 324 installations and 52 active users sharing activity data
  • Successfully demonstrated that gamified mobile sensing can encourage and track infection prevention behaviors in daily life

Significance

SelfGuard demonstrates a practical approach to promoting self-protection behaviors through mobile technology, combining passive sensing with gamified feedback to encourage healthy habits during pandemic situations.

Key Publications

2022

Enhancing Self-Protection: What Influences Human’s Epidemic Prevention Behavior during the COVID-19 Pandemic

Liqiang Xu, Yuuki Nishiyama, Kaoru Sezaki

Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-Being and Health, Art and Creativity: 10th International Conference, DAPI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part II

2020

SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic

Yuuki Nishiyama, Takuro Yonezawa, Kaoru Sezaki

Proceedings of the 18th Conference on Embedded Networked Sensor Systems, Virtual Event, Japan