Go gig or go home: Enabling social sensing to share personal data with intimate partner for the health andwellbeing of long-hour workers

Chuang Wen You, Chien Wen Tina Yuan, Nanyi Bi, Min Wei Hung, Po Chun Huang, Hao Chuan Wang

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Maintaining an awareness of one's well-being and making work-related decisions to achieve work-life balance is critical for fexible 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 fexible long-hour professional drivers (Taxi and Uber drivers) and their signifcant 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.

原文英語
主出版物標題CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
主出版物子標題Making Waves, Combining Strengths
發行者Association for Computing Machinery
ISBN(電子)9781450380966
DOIs
出版狀態已發佈 - 2021 五月 6
對外發佈
事件10th International Conference on Materials Processing and Characterisation, ICMPC 2020 - Mathura, U.P., 印度
持續時間: 2020 二月 212020 二月 23

出版系列

名字Conference on Human Factors in Computing Systems - Proceedings

會議

會議10th International Conference on Materials Processing and Characterisation, ICMPC 2020
國家/地區印度
城市Mathura, U.P.
期間2020/02/212020/02/23

ASJC Scopus subject areas

  • 人機介面
  • 電腦繪圖與電腦輔助設計
  • 軟體

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