Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review
Situating Wearables : Smartwatch Use in Context. / McMillan, Donald; Brown, Barry; Lampinen, Airi et al.
CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. New York, NY, USA : Association for Computing Machinery, 2017. p. 3582-3594 (CHI '17).Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Situating Wearables
AU - McMillan, Donald
AU - Brown, Barry
AU - Lampinen, Airi
AU - McGregor, Moira
AU - Hoggan, Eve
AU - Pizza, Stefania
PY - 2017/5/2
Y1 - 2017/5/2
N2 - This paper studies how context influences smartwatch use. Drawing on 168 hours of video recordings of smartwatch use, we explore the effects of the presence of others, activity, location and time of day on 1, 009 instances of use. Watch interaction is significantly shorter when the user is in conversation, than when alone. Activity also exerts influence-with significantly longer watch use while eating than when socialising or performing domestic tasks. One surprising finding is that length of use is similar at home and work. We note that usage peaks around lunchtime, with an average of 5.3 watch uses per hour throughout a day. We supplement these findings with qualitative analysis of the videos, focusing on how use is modified by the presence of others, and the lack of impact of watch glances on conversation. Watch use is clearly a context-sensitive activity, and in discussion we explore how smartwatches could be designed taking this into consideration.
AB - This paper studies how context influences smartwatch use. Drawing on 168 hours of video recordings of smartwatch use, we explore the effects of the presence of others, activity, location and time of day on 1, 009 instances of use. Watch interaction is significantly shorter when the user is in conversation, than when alone. Activity also exerts influence-with significantly longer watch use while eating than when socialising or performing domestic tasks. One surprising finding is that length of use is similar at home and work. We note that usage peaks around lunchtime, with an average of 5.3 watch uses per hour throughout a day. We supplement these findings with qualitative analysis of the videos, focusing on how use is modified by the presence of others, and the lack of impact of watch glances on conversation. Watch use is clearly a context-sensitive activity, and in discussion we explore how smartwatches could be designed taking this into consideration.
KW - smartwatch, video analysis, wearable
KW - Video analysis
KW - Wearable
KW - Smartwatch
U2 - 10.1145/3025453.3025993
DO - 10.1145/3025453.3025993
M3 - Article in proceedings
SN - 978-1-4503-4655-9
T3 - CHI '17
SP - 3582
EP - 3594
BT - CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
CY - New York, NY, USA
Y2 - 6 May 2017 through 12 May 2017
ER -