Towards understanding smartphone usage and sleep with a crowdsensing approach
Sharmila, Parsa; Schroderus, Vappu; Lagerspetz, Eemil; Peltonen, Ella (2020-09-01)
Parsa Sharmila, Vappu Schroderus, Eemil Lagerspetz, and Ella Peltonen. 2020. Towards understanding smartphone usage and sleep with a crowdsensing approach. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp-ISWC '20). Association for Computing Machinery, New York, NY, USA, 700–703. DOI: https://doi.org/10.1145/3410530.3414442
© 2020 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, https://doi.org/10.1145/3410530.3414442.
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https://urn.fi/URN:NBN:fi-fe2020091669617
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Abstract
Smartphone usage and sleep quality have established connections in psychological research, but in the HCI context, the topic is still understudied. In this paper, we present preliminary insights into behavioral patterns between smartphone usage and sleep quality by using crowdsensed data. We utilize a large-scale mobile usage dataset and a PHQ-8 depression questionnaire answered by 743 participants from varying age groups and socioeconomic backgrounds. Based on our preliminary results, we provide a methodological pipeline for future work towards understanding the relationship between daily smartphone usage patterns and sleep quality in the wild.
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