Research
SoNotify: Interruptability-Aware Notification via Earable Devices
Ongoing 2023 - Present

SoNotify: Interruptability-Aware Notification via Earable Devices

Investigating and optimizing acceptable voice-based notification timings through earable devices to minimize user interruption.

Earable Computing Interruptability Notification

Overview

Earable devices enable users to receive voice-based notifications seamlessly in daily life, but inappropriate notification timing may reduce usability and even compromise safety. SoNotify investigates and optimizes acceptable voice-based notification timings through earable devices, aiming to minimize disruption to ongoing activities.

Approach

  • SoNotify application: A smartphone application that sends dummy voice-based notifications and collects sensor data from both a smartphone and an earable device
  • Field study: Real-world investigation of acceptable notification timings with participants wearing earable devices during daily activities
  • Sensor-based context detection: Utilizing motion sensor data from smartphones and earable devices to estimate user interruptability

Results

  • Voice-based notifications were highly acceptable during outdoor walking, with an acceptance rate of approximately 86%
  • Users tended to refuse notifications in situations requiring concentration on avoiding collisions with pedestrians, cyclists, or vehicles
  • Identified context-dependent patterns of notification acceptability based on surrounding traffic conditions

Significance

SoNotify provides foundational insights for designing context-aware notification systems on earable devices, enabling safer and less disruptive voice-based information delivery in everyday scenarios.

Key Publications

2024 Best Poster Award

Investigating Acceptable Voice-based Notification Timings through Earable Devices: A Preliminary Field Study

Manaka Ito, Kota Tsubouchi, Nobuhiko Nishio, Masamichi Shimosaka, Akihito Taya, Kaoru Sezaki, Yuuki Nishiyama

Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing