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
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.