Toward Future-Centric Personal Informatics: Expecting Stressful Events and Preparing Personalized Interventions in Stress Management

要旨

Stress is caused by a variety of events in our daily lives. By anticipating stressful situations, we can prepare and better cope with stressors when they actually occur. However, many past-centric personal informatics (PI) tools focus on capturing events that already happened and analyzing the data. In this work, we examine how anticipation — a future-centric self-tracking practice — could be used to manage daily stress levels. To address this, we built MindForecaster, a calendar- mediated stress anticipation application that allows users to expect stressful events in advance, generates activities to mitigate stress, and evaluates actual stress levels compared to previously estimated stress levels. In a 30-day deployment with 47 users, the users who explicitly planned and executed coping interventions reported reduced stress more than those who only expected stressful events. We suggest design implications for stress management by incorporating the properties of anticipation into current PI models.

キーワード
Stress
anticipation
intervention
coping planning
self-experimentation
future-centric personal informatics
著者
Kwangyoung Lee
Seoul National University, Seoul, Republic of Korea
Hyewon Cho
Inha University, Incheon, Gyeonggi-do, Republic of Korea
Kobiljon Toshnazarov
Inha University, Incheon, Gyeonggi-do, Republic of Korea
Nematjon Narziev
Inha University, Incheon, Gyeonggi-do, Republic of Korea
So Young Rhim
Ajou University, Suwon, Republic of Korea
Kyungsik Han
Ajou University, Suwon, Republic of Korea
YoungTae Noh
Inha University, Incheon, Gyeonggi-do, Republic of Korea
Hwajung Hong
Seoul National University, Seoul, Republic of Korea
DOI

10.1145/3313831.3376475

論文URL

https://doi.org/10.1145/3313831.3376475

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Self tracking & self care

Paper session
314 LANA'I
5 件の発表
2020-04-30 18:00:00
2020-04-30 19:15:00
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