The development of artificial intelligence (AI) technology, as shown by ChatGPT, has led to innovative modes of social interaction that may influence users' psychological well-being. The aim of this study was to examine the relationship between the frequency of ChatGPT usage and feelings of loneliness among Indonesian university students. With a quantitative correlational design and purposive sampling, 208 active ChatGPT users completed the ChatGPT Usage Intensity Scale and the UCLA Loneliness Scale Version 3. The Kolmogorov–Smirnov normality test, Spearman's Rho correlation test, and non-parametric difference tests (the Mann–Whitney U and Kruskal–Wallis tests) were used to analyze the data. The findings indicated that the data were not normally distributed, necessitating the use of non-parametric analyses. There was a strong and significant positive correlation between loneliness and how frequently ChatGPT was used (r = 0.807; p < 0.001), which means that people who were lonelier used ChatGPT more. Difference tests also showed that there were differences between genders and academic semesters (p < 0.05). Women and students in later semesters reported higher levels of usage and loneliness. These results suggest that too much dependence on ChatGPT may exacerbate feelings of loneliness among students, despite its capacity as an useful tool for digital communication and emotional engagement.
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