Understanding behavioral dynamics of social anxiety among college students through smartphone sensors

•The relationship between fine-grained behavior and social anxiety levels is examined.•Multimodal sensor fusion is proposed to represent fine-grained behavior.•Individuals’ behaviors with different social anxiety levels are significantly different.•The implications of these findings for developing b...

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Bibliographic Details
Published in:Information fusion Vol. 49; pp. 57 - 68
Main Authors: Gong, Jiaqi, Huang, Yu, Chow, Philip I., Fua, Karl, Gerber, Matthew S., Teachman, Bethany A., Barnes, Laura E.
Format: Journal Article
Language:English
Published: Elsevier B.V 01.09.2019
Subjects:
Behavioral dynamics
Sensor fusion
Smartphone use
Social anxiety
Sensor fusion
Social anxiety
Behavioral dynamics
Smartphone use
ISSN:1566-2535, 1872-6305
Online Access:Get full text
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Summary:•The relationship between fine-grained behavior and social anxiety levels is examined.•Multimodal sensor fusion is proposed to represent fine-grained behavior.•Individuals’ behaviors with different social anxiety levels are significantly different.•The implications of these findings for developing better interventions are discussed. The way people use smartphones provides a window into the relationship between behaviors and mental health. This relationship is of particular significance to individuals with elevated social anxiety, as it helps to reveal when and where their stress increases in relation to social interactions, ultimately leading to more precise treatment delivery and interventions. In this collaboration between engineers and psychologists, we present the first study to use smartphone sensors to examine socially anxious individuals’ fine-grained behaviors around periods in which they engage in some form of social interaction, and how these behaviors differ as a function of location (e.g., at home, at work, or at an unfamiliar location). In a two-week study of 52 college students, we show that there is a significant difference in behaviors for individuals based on social anxiety levels and locations, in that individuals higher (vs. lower) in social anxiety symptoms exhibit more movement (as tracked by the accelerometer) around the time of phone calls, especially in an unfamiliar location (i.e., not home or at work). Finally, we discuss the implications of these findings for developing better interventions for socially anxious individuals.
ISSN:1566-2535
1872-6305
DOI:10.1016/j.inffus.2018.09.002