Momentary Stressor Logging and Reflective Visualizations: Implications for Stress Management with Wearables

要旨

Commercial wearables from Fitbit, Garmin, and Whoop have recently introduced real-time notifications based on detecting changes in physiological responses indicating potential stress. In this paper, we investigate how these new capabilities can be leveraged to improve stress management. We developed a smartwatch app, a smartphone app, and a cloud service, and conducted a 100-day field study with 122 participants who received prompts triggered by physiological responses several times a day. They were asked whether they were stressed, and if so, to log the most likely stressor. Each week, participants received new visualizations of their data to self-reflect on patterns and trends. Participants reported better awareness of their stressors, and self-initiating fourteen kinds of behavioral changes to reduce stress in their daily lives. Repeated self-reports over 14 weeks showed reductions in both stress intensity (in 26,521 momentary ratings) and stress frequency (in 1,057 weekly surveys).

著者
Sameer Neupane
University of Memphis, Memphis, Tennessee, United States
Mithun Saha
University of Memphis, Memphis, Tennessee, United States
Nasir Ali
University of Memphis, Memphis, Tennessee, United States
Timothy Hnat
University of Memphis, Memphis, Tennessee, United States
Shahin Alan. Samiei
University of Memphis, Memphis, Tennessee, United States
Anandatirtha Nandugudi
University of Memphis, Memphis, Tennessee, United States
David M. Almeida
The Pennsylvania State University, University Park, Pennsylvania, United States
Santosh Kumar
University of Memphis, Memphis, Tennessee, United States
論文URL

https://doi.org/10.1145/3613904.3642662

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Reflection and Regulation for Wellbeing

319
5 件の発表
2024-05-13 23:00:00
2024-05-14 00:20:00