Go Gig or Go Home: Enabling Social Sensing to Share Personal Data with Intimate Partner for the Health and Wellbeing of Long-Hour workers

要旨

Maintaining an awareness of one's well-being and making work-related decisions to achieve work-life balance is critical for flexible long-hour workers. In this study, we propose that social sensing could address bottlenecks in worker's awareness, interpretation of the informatics, and subsequent behavioral change. We conducted a four-week technology probe study by recruiting flexible long-hour professional drivers (Taxi and Uber drivers) and their significant others to use a social sensing prototype which collects data from the drivers and shares it with their partners as well as incorporates partners' observations. We interviewed them before and after the probe study and found that while technological sensing was able to increase drivers' awareness of their well-being status and intention to modify behaviors. The ``social sensing'' design was able to further shape such awareness or intention into action, highlighting the potential of using the sociotechnical approach in promoting work-life balance among long-hour workers.

著者
Chuang-Wen You
National Tsing Hua University, Hsinchu, Taiwan
Chien Wen (Tina) Yuan
National Taiwan Normal University, Taipei City, Taiwan
Nanyi Bi
Cornell University, Ithaca, New York, United States
Min-Wei Hung
National Tsing Hua University, Taichung City, Select, Taiwan
Po-Chun Huang
National Taiwan University, Taipei, Taiwan
Hao-Chuan Wang
UC Davis, Davis, California, United States
DOI

10.1145/3411764.3445278

論文URL

https://doi.org/10.1145/3411764.3445278

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Cross-cultural Design / Reflection, Design, & Participation

[A] Paper Room 14, 2021-05-13 17:00:00~2021-05-13 19:00:00 / [B] Paper Room 14, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 14, 2021-05-14 09:00:00~2021-05-14 11:00:00
Paper Room 14
15 件の発表
2021-05-13 17:00:00
2021-05-13 19:00:00
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