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<p>Artificial intelligence (AI)-driven tools like ChatGPT have rapidly integrated into daily life, raising concerns about problematic use and psychological impacts. However, validated tools to assess maladaptive interaction patterns are limited. This study evaluated the psychometric properties of the Problematic ChatGPT Use Scale (PCGUS) within a Turkish sample. Study I included 391 participants (61.4% female, mean age = 30.89), while study II involved 473 participants (74.4% male, mean age = 28.25). In study I, confirmatory factor analysis (CFA) confirmed the unidimensional structure of the 9-item scale, and measurement invariance (MI) was established at configural, metric, and scalar levels. The scale demonstrated acceptable reliability, and Item Response Theory (IRT) analysis showed strong item discrimination. Problematic ChatGPT use (PCGU) correlated positively with AI addiction, internet gaming disorder, and internet addiction, and negatively with conscientiousness. Study II revealed that psychological distress and self-control mediated the relationship between PCGU and well-being, highlighting the importance of these factors in predicting healthy AI engagement.</p>

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Problematic ChatGPT Use Scale: AI-Human Collaboration or Unraveling the Dark Side of ChatGPT

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月11日

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  • Sibel Maral,
  • Nagihan Naycı,
  • Huzeyfe Bilmez,
  • Elif İrem Erdemir,
  • Seydi Ahmet Satici

摘要

Artificial intelligence (AI)-driven tools like ChatGPT have rapidly integrated into daily life, raising concerns about problematic use and psychological impacts. However, validated tools to assess maladaptive interaction patterns are limited. This study evaluated the psychometric properties of the Problematic ChatGPT Use Scale (PCGUS) within a Turkish sample. Study I included 391 participants (61.4% female, mean age = 30.89), while study II involved 473 participants (74.4% male, mean age = 28.25). In study I, confirmatory factor analysis (CFA) confirmed the unidimensional structure of the 9-item scale, and measurement invariance (MI) was established at configural, metric, and scalar levels. The scale demonstrated acceptable reliability, and Item Response Theory (IRT) analysis showed strong item discrimination. Problematic ChatGPT use (PCGU) correlated positively with AI addiction, internet gaming disorder, and internet addiction, and negatively with conscientiousness. Study II revealed that psychological distress and self-control mediated the relationship between PCGU and well-being, highlighting the importance of these factors in predicting healthy AI engagement.