TY - GEN
T1 - Mobile manifestations of alertness
T2 - 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016
AU - Murnane, Elizabeth L.
AU - Abdullah, Saeed
AU - Matthews, Mark
AU - Kay, Matthew
AU - Kientz, Julie A.
AU - Choudhury, Tanzeem
AU - Gay, Geri
AU - Cosley, Dan
N1 - Funding Information:
This work was partially supported by a grant from the Robert Wood Johnson Foundation and the Health Data Exploration Project, by the Intel Science & Technology Center for Pervasive Computing (ISTC-PC), and by the National Science Foundation under grant SCH-1344613. Elizabeth Murnane was supported by the National Science Foundation Graduate Research Fellowship under grant DGE-1144153.
Publisher Copyright:
© 2016 ACM.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/9/6
Y1 - 2016/9/6
N2 - Our body clock causes considerable variations in our behavioral, mental, and physical processes, including alertness, throughout the day. While much research has studied technology usage patterns, the potential impact of underlying biological processes on these patterns is under-explored. Using data from 20 participants over 40 days, this paper presents the first study to connect patterns of mobile application usage with these contributing biological factors. Among other results, we find that usage patterns vary for individuals with different body clock types, that usage correlates with rhythms of alertness, that app use features such as duration and switching can distinguish periods of low and high alertness, and that app use reflects sleep interruptions as well as sleep duration. We conclude by discussing how our findings inform the design of biologically-friendly technology that can better support personal rhythms of performance.
AB - Our body clock causes considerable variations in our behavioral, mental, and physical processes, including alertness, throughout the day. While much research has studied technology usage patterns, the potential impact of underlying biological processes on these patterns is under-explored. Using data from 20 participants over 40 days, this paper presents the first study to connect patterns of mobile application usage with these contributing biological factors. Among other results, we find that usage patterns vary for individuals with different body clock types, that usage correlates with rhythms of alertness, that app use features such as duration and switching can distinguish periods of low and high alertness, and that app use reflects sleep interruptions as well as sleep duration. We conclude by discussing how our findings inform the design of biologically-friendly technology that can better support personal rhythms of performance.
KW - Alertness
KW - Circadian rhythms
KW - Mobile app use
KW - Sleep
UR - http://www.scopus.com/inward/record.url?scp=84991080816&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991080816&partnerID=8YFLogxK
U2 - 10.1145/2935334.2935383
DO - 10.1145/2935334.2935383
M3 - Conference contribution
C2 - 30931436
AN - SCOPUS:84991080816
T3 - Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016
SP - 465
EP - 477
BT - Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016
PB - Association for Computing Machinery, Inc
Y2 - 6 September 2016 through 9 September 2016
ER -