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Area of Science:

  • Psychology
  • Human-Computer Interaction
  • Artificial Intelligence

Background:

  • Generative artificial intelligence (AI) is increasingly prevalent.
  • Understanding psychological responses to AI-generated content is crucial.
  • Social comparison theory explains how individuals evaluate themselves against others.

Purpose of the Study:

  • To investigate the psychological impact of exposure to generative AI content on human self-confidence.
  • To explore the role of social comparison in this process.
  • To examine how perceptions of AI as a social referent influence self-confidence.

Main Methods:

  • Participants were exposed to creative content generated by AI or a human peer.
  • Self-confidence levels were measured for relevant creative tasks.
  • The study analyzed social comparison processes and perceptions of AI as a social referent.

Main Results:

  • Exposure to generative AI content increased participants' self-confidence in creative abilities.
  • This effect was observed across various creative domains (jokes, stories, poetry, visual art).
  • Generative AI was perceived as a lower social referent in creative domains, enhancing self-perceptions.

Conclusions:

  • Generative AI content can enhance self-confidence in creative tasks through social comparison.
  • This effect is domain-dependent, attenuated when AI is perceived as an equal or greater social referent.
  • Findings have implications for human-AI interaction, creative self-confidence, and social comparison.