TY - GEN
T1 - Go gig or go home
T2 - 10th International Conference on Materials Processing and Characterisation, ICMPC 2020
AU - You, Chuang Wen
AU - Yuan, Chien Wen Tina
AU - Bi, Nanyi
AU - Hung, Min Wei
AU - Huang, Po Chun
AU - Wang, Hao Chuan
N1 - Funding Information:
This research was supported in part by the Ministry of Science and Technology of Taiwan (MOST 107-2221-E-007-118-MY2, 108-2221-E-003-026, 109-2221-E-003-010-MY3, and 109-2221-E-007-114), UC Davis through Hao-Chuan Wang’s startup grant, and Intel Corporation.
Publisher Copyright:
© 2021 ACM.
PY - 2021/5/6
Y1 - 2021/5/6
N2 - 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.
AB - 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.
KW - Social sensing
KW - Technological sensing
KW - Technology probe
UR - http://www.scopus.com/inward/record.url?scp=85106695204&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85106695204&partnerID=8YFLogxK
U2 - 10.1145/3411764.3445278
DO - 10.1145/3411764.3445278
M3 - Conference contribution
AN - SCOPUS:85106695204
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 21 February 2020 through 23 February 2020
ER -