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Authors: Yusong Gao 1 ; He Li 2 and Tingshao Zhu 1

Affiliations: 1 Institute of Psychology and Chinese Academy of Sciences, China ; 2 The 6th Research Institute of China Electronics Corporation, China

ISBN: 978-989-758-010-9

Keyword(s): Smartphone Usage Behaviours, Subjective Well-Being, Mental Health.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cloud Computing ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Distributed and Mobile Software Systems ; e-Health ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Platforms and Applications ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering

Abstract: Subjective Well-Being (SWB) refers to how people experience the quality of their lives, thus to acquire people’s SWB levels timely and effectively is very important. Self-report and interviewing are mostly used techniques for assessing SWB, but cannot be done in time. This study aims to predict one’s SWB levels by smartphone usage behaviours. We collect users’ smartphone usage and self-reported subjective well-being, and found that several usage behaviours correlate with SWB, especially for females. For example, smartphone users with higher SWB scores tend to use more communicating apps, play more games and read more, but take fewer photos. Based on these findings, we trained a predicting model of user’s SWB based on smartphone usage behaviours, and the accuracy is up to 62%. The result indicates that SWB can be identified based on smartphone usage fairly well.

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Paper citation in several formats:
Gao Y., Li H. and Zhu T. (2014). Predicting Subjective Well-Being by Smartphone Usage Behaviors.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 317-322. DOI: 10.5220/0004800203170322

author={Yusong Gao and He Li and Tingshao Zhu},
title={Predicting Subjective Well-Being by Smartphone Usage Behaviors},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},


JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Predicting Subjective Well-Being by Smartphone Usage Behaviors
SN - 978-989-758-010-9
AU - Gao Y.
AU - Li H.
AU - Zhu T.
PY - 2014
SP - 317
EP - 322
DO - 10.5220/0004800203170322

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