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Emotion-Adaptive Large Language Model–Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability

  • Stevens Institute of Technology
  • Rutgers - The State University of New Jersey, New Brunswick
  • University of Washington

Research output: Contribution to journalArticlepeer-review

Abstract

empathic-CDSS offers a novel direction for developing emotionally intelligent and user-centered AI systems, with potential applications in behavioral monitoring and personalized interventions, including cannabis use and related health domains.

Original languageEnglish
Article numbere89005
JournalJMIR Human Factors
Volume13
DOIs
StatePublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • algorithmic decisions
  • artificial intelligence
  • cannabis intoxication
  • cannabis-intoxicated behaviors
  • facial emotion recognition
  • healthcare AI
  • large language models (LLMs)
  • mobile phone
  • personalized intervention
  • transparency
  • trustworthy AI

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