Psychological Distress and Artificial Intelligence Dependency: The Moderating Role of Extraversion
Abstract
The aim of this study is to examine the moderating role of extraversion in the relationship between psychological distress and artificial intelligence dependency. A total of 438 university students (24.9% male; mean age = 21.65, SD = 3.65) participated in the study through convenience sampling. Data were collected using the Scale for Dependence on Artificial Intelligence, the Depression Anxiety Stress Scale-Short Form, and the Ten-Item Personality Inventory. The relationships among variables were examined using Pearson and Spearman correlation analyses, and the main hypothesis of the study was tested through conditional process analysis using Hayes’ PROCESS Macro (Model 1). The findings indicated a significant relationship between psychological distress and artificial intelligence dependency. The results of the moderation analysis revealed that the effect of psychological distress on artificial intelligence dependency varied depending on the level of extraversion. While this relationship was not significant at low levels of extraversion, it became positive and significant at higher levels. Additionally, extraversion was found to have a direct and significant negative effect on artificial intelligence dependency. These findings suggest that the relationship between psychological distress and artificial intelligence dependency should be considered within the framework of individual differences. Extraversion appears to play a critical moderating role in this relationship. This study contributes to the literature on artificial intelligence dependency by expanding the limited empirical evidence in this emerging field.
Keywords
- Artificial ıntelligence
- artificial ıntelligence dependency
- dependency
- psychological distress
- extraversion
Ethical Statement
References
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Details
Primary Language
English
Subjects
Personal Development, Developmental Psychology (Other)
Journal Section
Research Article
Authors
Early Pub Date
September 21, 2026
Publication Date
September 29, 2026
Submission Date
April 7, 2026
Acceptance Date
September 17, 2026
Published in Issue
Year 2026 Volume: 30 Number: 3