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Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions.

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Large language models (LLMs) create personalized stories that help young adults manage struggles. These AI-enhanced narratives are more relatable and effective than human-written ones for mental health support.

Keywords:
Digital Mental HealthInterventionLLMNarrativeStory

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Area of Science:

  • Psychology
  • Artificial Intelligence
  • Digital Mental Health

Background:

  • Personalized narratives can illustrate psychological theories but may lack individual resonance.
  • Traditional storytelling struggles to connect with unique personal challenges.
  • Digital mental health interventions require relatable and authentic content.

Purpose of the Study:

  • To investigate the efficacy of large language models (LLMs) in generating personalized, relatable mental health narratives for young adults.
  • To compare the impact of LLM-enhanced stories versus human-written stories on key psychological takeaways and belief in negative thoughts.
  • To identify design considerations for AI-driven narrative interventions in digital mental health.

Main Methods:

  • A study involving 346 young adults across two settings.
  • Utilized large language models (LLMs) to create tailored narratives addressing individual challenges.
  • Compared participant perceptions of LLM-enhanced stories against human-written stories.

Main Results:

  • LLM-enhanced stories were perceived as better at conveying key takeaways and promoting reflection.
  • Personalized AI-generated narratives demonstrated a greater reduction in belief in negative thoughts.
  • Participants found LLM-enhanced stories to be more relatable and similarly authentic to human-written ones.

Conclusions:

  • Large language models show significant potential for creating effective, personalized digital mental health content.
  • Future narrative-based interventions should focus on maintaining relatability and plausibility in AI-generated content.
  • Refining the tone and wording of AI-enhanced narratives is crucial for optimal impact in mental health support.