University of Oulu

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

Towards understanding smartphone usage and sleep with a crowdsensing approach

Saved in:
Author: Sharmila, Parsa1; Schroderus, Vappu1; Lagerspetz, Eemil2;
Organizations: 1Center for Ubiquitous Computing, University of Oulu, Finland
2Department of Computer Science, University of Helsinki, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020091669617
Language: English
Published: Association for Computing Machinery, 2020
Publish Date: 2020-09-16
Description:

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.

see all

ISBN Print: 978-1-4503-8076-8
Pages: 700 - 703
DOI: 10.1145/3410530.3414442
OADOI: https://oadoi.org/10.1145/3410530.3414442
Host publication: 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
Conference: ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © 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.