TY - GEN
T1 - Data engagement reconsidered
T2 - 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021
AU - Ding, Xianghua
AU - Wei, Shuhan
AU - Gui, Xinning
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/6
Y1 - 2021/5/6
N2 - In today's fast-paced world, stress has become a growing health concern. While more automatic stress tracking technologies have recently become available on wearable or mobile devices, there is still a limited understanding of how they are actually used in everyday life. This paper presents an empirical study of automatic stress-tracking technologies in use in China, based on semi-structured interviews with 17 users. The study highlights three challenges of stress-tracking data engagement that prevent efective technology usage: the lack of immediate awareness, the lack of prerequired knowledge, and the lack of corresponding communal support. Drawing on the stress-tracking practices uncovered in the study, we bring these issues to the fore, and unpack assumptions embedded in related works on self-tracking and how data engagement is approached.We end by calling for a reconsideration of data engagement as part of self-tracking practices with technologies rather than simply looking at the user interface.
AB - In today's fast-paced world, stress has become a growing health concern. While more automatic stress tracking technologies have recently become available on wearable or mobile devices, there is still a limited understanding of how they are actually used in everyday life. This paper presents an empirical study of automatic stress-tracking technologies in use in China, based on semi-structured interviews with 17 users. The study highlights three challenges of stress-tracking data engagement that prevent efective technology usage: the lack of immediate awareness, the lack of prerequired knowledge, and the lack of corresponding communal support. Drawing on the stress-tracking practices uncovered in the study, we bring these issues to the fore, and unpack assumptions embedded in related works on self-tracking and how data engagement is approached.We end by calling for a reconsideration of data engagement as part of self-tracking practices with technologies rather than simply looking at the user interface.
UR - http://www.scopus.com/inward/record.url?scp=85106751429&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85106751429&partnerID=8YFLogxK
U2 - 10.1145/3411764.3445763
DO - 10.1145/3411764.3445763
M3 - Conference contribution
AN - SCOPUS:85106751429
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 - 8 May 2021 through 13 May 2021
ER -