AI Technology panic-is AI Dependence Bad for Mental Health? A Cross-Lagged Panel Model and the Mediating Roles of Motivations for AI Use Among Adolescents.

Journal: Psychology research and behavior management

Volume: 17

Issue: 

Year of Publication: 

Affiliated Institutions:  State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, , People's Republic of China. Shenzhen Institute of Education Sciences, Shenzhen, , People's Republic of China.

Abstract summary 

The emergence of new technologies, such as artificial intelligence (AI), may manifest as technology panic in some people, including adolescents who may be particularly vulnerable to new technologies (the use of AI can lead to AI dependence, which can threaten mental health). While the relationship between AI dependence and mental health is a growing topic, the few existing studies are mainly cross-sectional and use qualitative approaches, failing to find a longitudinal relationship between them. Based on the framework of technology dependence, this study aimed to determine the prevalence of experiencing AI dependence, to examine the cross-lagged effects between mental health problems (anxiety/depression) and AI dependence and to explore the mediating role of AI use motivations.A two-wave cohort program with 3843 adolescents (Male = 1848, = 13.21 ± 2.55) was used with a cross-lagged panel model and a half-longitudinal mediation model.17.14% of the adolescents experienced AI dependence at T1, and 24.19% experienced dependence at T2. Only mental health problems positively predicted subsequent AI dependence, not vice versa. For AI use motivation, escape motivation and social motivation mediated the relationship between mental health problems and AI dependence whereas entertainment motivation and instrumental motivation did not.Excessive panic about AI dependence is currently unnecessary, and AI has promising applications in alleviating emotional problems in adolescents. Innovation in AI is rapid, and more research is needed to confirm and evaluate the impact of AI use on adolescents' mental health and the implications and future directions are discussed.

Authors & Co-authors:  Huang Lai Ke Li Wang Zhao Dai Wang

Study Outcome 

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Statistics
Citations :  Gillath O, Ai T, Branicky M, Keshmiri S, Davison R, Spaulding R. Attachment and trust in artificial intelligence. Comput Human Behav. 2021;115:106607. doi:10.1016/j.chb.2020.106607
Authors :  8
Identifiers
Doi : 10.2147/PRBM.S440889
SSN : 1179-1578
Study Population
Male,Female
Mesh Terms
Other Terms
adolescents;anxiety;artificial intelligence dependence;artificial intelligence use motivation;depression;mental health
Study Design
Study Approach
Qualitative
Country of Study
Publication Country
New Zealand