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Area of Science:

  • Psychology
  • Computer Science
  • Public Health

Background:

  • Suicide prevention helplines are critical for mental health support.
  • Counselors face high-pressure situations requiring real-time decision-making.
  • AI tools offer potential for augmenting human support in crisis interventions.

Purpose of the Study:

  • To assess the effectiveness and usability of an AI-assisted tool for real-time counselor support in suicide prevention.
  • To evaluate the impact of AI assistance on counselor self-efficacy and response times.
  • To analyze the patterns and appropriateness of AI tool usage during helpline conversations.

Main Methods:

  • A randomized controlled trial (RCT) comparing an AI tool group with a control group (care as usual).
  • The AI tool utilized BERT sentence embeddings and cosine similarity for suggestion generation.
  • Counselor self-efficacy was measured via questionnaires; tool usage was logged for frequency, duration, and content analysis.

Main Results:

  • No significant difference in self-efficacy between AI and control groups (p=0.36).
  • AI tool users exhibited marginally lower response times and increased usage in longer conversations.
  • Appropriate AI tool use yielded usable suggestions in 83% of instances, but optimal timing was often missed.

Conclusions:

  • AI-assisted tools show potential for supporting counselors in suicide prevention, offering usable suggestions.
  • Challenges remain in optimal AI tool integration, including counselor proficiency and trust.
  • Further research is needed to refine AI tools for effective real-time crisis intervention support.