Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study.

Journal: JMIR human factors
Published Date:

Abstract

BACKGROUND: The use of conversational agents (CAs) in mental health therapy is gaining traction due to their accessibility, anonymity, and nonjudgmental nature. However, understanding the psychological factors driving preferences for CA-based therapy remains critical to ensure ethical and effective application. Variables such as epistemic trust, attachment styles, personality traits, and fear of intimacy appear central in shaping attitudes toward these artificial intelligence (AI)-driven interventions.

Authors

  • Fanny Guglielmucci
    Department of Philosophy, Communication and Performing Arts, Roma Tre University, Rome, Italy.
  • Daniela Di Basilio
    Faculty of Health and Medicine, Division of Health Research, Lancaster University, Sir John Fisher Drive, Lancaster, LA1 4AT, United Kingdom, 44 07312255301.