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Mobile sensing at the service of mental well-being: A large-scale longitudinal study

Servia-Rodríguez, S and Rachuri, KK and Mascolo, C and Rentfrow, PJ and Lathia, N and Sandstrom, GM (2017) Mobile sensing at the service of mental well-being: A large-scale longitudinal study. In: UNSPECIFIED, ? - ?.

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Abstract

© 2017 International World Wide Web Conference Committee (IW3C2). Measuring mental well-being with mobile sensing has been an increasingly active research topic. Pervasiveness of smartphones combined with the convenience of mobile app distribution platforms (e.g., Google Play) provide a tremendous opportunity to reach out to millions of users. However, the studies at the confluence of mental health and mobile sensing have been longitudinally limited, controlled, or confined to a small number of participants. In this paper we report on what we believe is the largest longitudinal in-the-wild study of mood through smartphones. We describe an Android app to collect participants’ self-reported moods and system triggered experience sampling data while passively measuring their physical activity, sociability, and mobility via their device’s sensors. We report the results of a large-scale analysis of the data collected for about three years from ∼ 18, 000 users. The paper makes three primary contributions. First, we show how we used physical and software sensors in smartphones to automatically and accurately identify routines. Then, we demonstrate the strong correlation between these routines and users’ personality, well-being perception, and other psychological variables. Finally, we explore predictability of users’ mood using their passive sensing data. Our findings show that, especially for weekends, mobile sensing can be used to predict users’ mood with an accuracy of about 70%. These results have the potential to impact the design of future mobile apps for mood/behavior tracking and interventions.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 26th International World Wide Web Conference, WWW 2017
Subjects: B Philosophy. Psychology. Religion > BF Psychology
T Technology > T Technology (General)
Divisions: Faculty of Science and Health > Psychology, Department of
Depositing User: Jim Jamieson
Date Deposited: 19 Apr 2017 11:57
Last Modified: 09 Jul 2019 00:15
URI: http://repository.essex.ac.uk/id/eprint/19488

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