@inproceedings{917113a395f84d9ab305b329ad2656a0,
title = "Go gig or go home: Enabling social sensing to share personal data with intimate partner for the health andwellbeing of long-hour workers",
abstract = "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.",
keywords = "Social sensing, Technological sensing, Technology probe",
author = "You, \{Chuang Wen\} and Yuan, \{Chien Wen Tina\} and Nanyi Bi and Hung, \{Min Wei\} and Huang, \{Po Chun\} and Wang, \{Hao Chuan\}",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 ; Conference date: 08-05-2021 Through 13-05-2021",
year = "2021",
month = may,
day = "6",
doi = "10.1145/3411764.3445278",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems",
}