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

Epistemic trust and fear of intimacy emerged as pivotal factors influencing preferences for CA-based therapy, underscoring the role of interpersonal dynamics and emotional vulnerabilities. The findings suggest that individuals with avoidant attachment styles or maladaptive personality traits are more inclined toward AI-mediated interventions, driven by reduced fear of judgment and increased perceived safety. The relative homogeneity of the sample considered-particularly in terms of age, education level, and cultural exposure-limits the generalizability of these findings to broader or more diverse populations. Nonetheless, these insights highlight the need for ethical considerations and personalized approaches in deploying CA-based mental health tools to balance user reliance with human-centric therapeutic values.

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Publication Details

Journal
JMIR Human Factors
Published
2025-05-28
DOI
https://doi.org/10.2196/70698
Citations
7
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
10.81
Controls
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article

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

Fanny Guglielmucci
7 citations
JMIR Human Factors
Digital Mental Health Interventions
10.81
article

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

Fanny Guglielmucci
article en
7 citations

Abstract

Epistemic trust and fear of intimacy emerged as pivotal factors influencing preferences for CA-based therapy, underscoring the role of interpersonal dynamics and emotional vulnerabilities. The findings suggest that individuals with avoidant attachment styles or maladaptive personality traits are more inclined toward AI-mediated interventions, driven by reduced fear of judgment and increased perceived safety. The relative homogeneity of the sample considered-particularly in terms of age, education level, and cultural exposure-limits the generalizability of these findings to broader or more diverse populations. Nonetheless, these insights highlight the need for ethical considerations and personalized approaches in deploying CA-based mental health tools to balance user reliance with human-centric therapeutic values.

JMIR Human FactorsVol. 12
Roma Tre University (IT), Lancaster University (GB)
Openalex Percentile: Top 2%
Digital Mental Health Interventions
10.81
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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 — Fanny Guglielmucci · JMIR Human Factors (2025) | TGRS Research Map | TGRS