Virtual Counselor Extenders: Social Cue Taxonomy, Soft Rooms, and Brief Motivational Interviewing

To address behavioral health shortages, we propose virtual counselor extenders: socially interactive virtual health agents (VHAs) that operationalize evidence-based interventions to expand clinicians’ reach and mitigate barriers to access for stigmatized populations. Current VHAs often lack systematic therapeutic communication and evidence-based environmental design. We present five contributions: (1) the implementation of a complete Brief Motivational Interviewing (BMI) intervention for heavy-drinking adults; (2) the application of a social cue taxonomy to systematically document multimodal active listening behaviors; (3) the design of a therapeutic ”soft room” grounded in environmental psychology; (4) a quantitative evaluation of usability and engagement with the target population; and (5) a qualitative thematic analysis of user acceptance regarding agent demographics and environmental realism. We conclude by extending the taxonomy with therapeutic-specific cues and providing design recommendations for future virtual counseling systems. This work demonstrates that autonomous agents can deliver complex therapeutic interventions while maintaining high user acceptance.

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Publication Details

Journal
ACM Transactions on Computer-Human Interaction
Published
2026-05-16
DOI
https://doi.org/10.1145/3815541
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Virtual Counselor Extenders: Social Cue Taxonomy, Soft Rooms, and Brief Motivational Interviewing

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ACM Transactions on Computer-Human Interaction
Digital Mental Health Interventions
article

Virtual Counselor Extenders: Social Cue Taxonomy, Soft Rooms, and Brief Motivational Interviewing

Ubbo Visser, Maya Boustani, James Hodgins, Diana Marin, Stephanie Lunn, Christine Lisetti, Jaynish Hazari
article en

Abstract

To address behavioral health shortages, we propose virtual counselor extenders: socially interactive virtual health agents (VHAs) that operationalize evidence-based interventions to expand clinicians’ reach and mitigate barriers to access for stigmatized populations. Current VHAs often lack systematic therapeutic communication and evidence-based environmental design. We present five contributions: (1) the implementation of a complete Brief Motivational Interviewing (BMI) intervention for heavy-drinking adults; (2) the application of a social cue taxonomy to systematically document multimodal active listening behaviors; (3) the design of a therapeutic ”soft room” grounded in environmental psychology; (4) a quantitative evaluation of usability and engagement with the target population; and (5) a qualitative thematic analysis of user acceptance regarding agent demographics and environmental realism. We conclude by extending the taxonomy with therapeutic-specific cues and providing design recommendations for future virtual counseling systems. This work demonstrates that autonomous agents can deliver complex therapeutic interventions while maintaining high user acceptance.

ACM Transactions on Computer-Human Interaction
University of Miami (US), Florida International University (US), Loma Linda University (US)
Openalex Percentile: Top 4%
Digital Mental Health Interventions
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