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AI-Enhanced Virtual Reality Self-Talk for Psychological Counseling: Formative Qualitative Study.

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Summary
This summary is machine-generated.

Integrating artificial intelligence (AI) into virtual reality (VR) self-talk enhances psychological counseling. This AI-assisted VR approach shows promise for improving self-reflection and problem-solving, with users preferring it over standard VR self-talk.

Keywords:
AIartificial intelligencelarge language modelpsychotherapyself-talkvirtual humanvirtual reality

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Area of Science:

  • Human-Computer Interaction
  • Psychological Interventions
  • Artificial Intelligence in Mental Health

Background:

  • Global mental health services face challenges meeting demand, prompting interest in AI solutions.
  • Virtual reality (VR) self-talk offers a novel approach by externalizing self-conversation via avatars.
  • AI integration in VR self-talk may address user difficulties and enhance psychological support.

Purpose of the Study:

  • To assess the challenges and benefits of integrating AI into VR self-talk for psychological counseling.
  • To explore user experience with AI-assisted VR for self-reflection, problem-solving, and behavioral change.

Main Methods:

  • Iterative design and development of an LLM-integrated VR self-talk system over 2.5 years.
  • Exploratory qualitative study with 11 healthy participants using AI-assisted VR self-talk.
  • Applied thematic analysis of semistructured interviews post-session, guided by a clinical psychologist.

Main Results:

  • Four themes emerged: quality of AI advice, human-AI collaboration benefits, virtual human believability, and avatar preferences.
  • Participants rated high desire for future sessions (8.3/10) and preferred AI-assisted VR self-talk.
  • AI-enhanced VR self-talk improved outcomes, facilitated positive thinking, and boosted self-reflection and problem-solving.

Conclusions:

  • LLM-based agents can significantly enhance the VR self-talk paradigm for psychological support.
  • The study outlines methods for AI integration, potential challenges, and key insights for future development.