ArticleJournal of medical extended reality2024
An Artificial Intelligence-Based Virtual Human Avatar Application to Assess the Mental Health of Health Care Professionals: A Validation Study.
Article in Journal of medical extended reality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- "Your Digital Doctor Will Now See You": A Narrative Review of VR and AI Technology in Chronic Illness Management.Healthcare (Basel, Switzerland) · 2026Review
- MedChat: a fully offline multimodal AI system for privacy-preserving clinical anamnesis.Frontiers in artificial intelligence · 2026Article
- Synthetic Patient-Physician Conversations Simulated by Large Language Models: A Multi-Dimensional Evaluation.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many health care workers experience high levels of stress, mental health issues, and burnout, yet are less likely than most to seek mental health support. Given this challenge, non-stigmatizing approaches that promote access to assessments of mental health for this population are greatly needed to increase self-awareness and connection to care. Previous research has shown that when users engaged in dialog with a virtual human agent (VHA), they disclosed more information about their mental health compared with similar interactions with a live human or human-as-avatar assessor. An application called "BeCalm" was developed to conduct psychological assessments using conversational artificial intelligence and user interaction with a human-like VHA. BeCalm allows for both spoken and written "chat"-based communication. This pilot study aimed to measure the user experience, acceptability, and convergent validity of BeCalm. A cross-sectional, mixed-methods, one-arm study of BeCalm was conducted with 38 health care workers (mean age = 31.87, standard deviation = 11.28; 84% biologically female). Qualitative interviews indicated that the simulated interpersonal connection with the VHA was the most appealing aspect of BeCalm, with participants describing the VHA as warm and nonjudgmental. The second most highly rated aspect of the application was the information (resources, summary, and psychoeducation) provided at the end of the assessment. There was a range in levels of convergent validity between the BeCalm and conventional assessments across several symptom domains (
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Registered trials
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