activity
20232026
most citedVirtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing

45 citations · 100 across the 9 of their papers we have counts for

collaborators

10 papers

cs.HC2026

Supporting Couples' Social Well-being in Daily Life: A Needs Assessment and Co-design with Co-located Couples

Yuna Naito, Timothy Bickmore, Varun Mishra +1

Romantic relationships shape physical, mental, and social well-being, and relationship quality is built through everyday interactions. Addressing minor issues early and reinforcing…

cs.CL2026

Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming

Ian Steenstra, Paola Pedrelli, Weiyan Shi +2

Large Language Models (LLMs) are increasingly utilized for mental health support; however, current safety benchmarks often fail to detect the complex, longitudinal risks inherent i…

cs.HC2026

Relational Appliances: A Robot in the Refrigerator for Home-Based Health Promotion

Timothy Bickmore, Mehdi Arjmand, Yunus Terzioglu

Kitchen appliances are frequently used domestic artifacts situated at the point of everyday dietary decision making, making them a promising but underexplored site for health promo…

cs.CL2025★ 1 cited

A Risk Ontology for Evaluating AI-Powered Psychotherapy Virtual Agents

Ian Steenstra, Timothy W. Bickmore

The proliferation of Large Language Models (LLMs) and Intelligent Virtual Agents acting as psychotherapists presents significant opportunities for expanding mental healthcare acces…

cs.HC2025★ 29 cited

Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations

Ian Steenstra, Farnaz Nouraei, Timothy W. Bickmore

Learning therapeutic counseling involves significant role-play experience with mock patients, with current manual training methods providing only intermittent granular feedback. We…

cs.HC2024

Virtual Agent-Based Communication Skills Training to Facilitate Health Persuasion Among Peers

Farnaz Nouraei, Keith Rebello, Mina Fallah +6

Many laypeople are motivated to improve the health behavior of their family or friends but do not know where to start, especially if the health behavior is potentially stigmatizing…

cs.HC2024★ 45 cited

Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing

Ian Steenstra, Farnaz Nouraei, Mehdi Arjmand +1

We introduce a novel application of large language models (LLMs) in developing a virtual counselor capable of conducting motivational interviewing (MI) for alcohol use counseling.…

cs.HC2024

Investigating User Perceptions of Collaborative Agenda Setting in Virtual Health Counseling Session

Mina Fallah, Farnaz Nouraei, Hye Sun Yun +1

Virtual health counselors offer the potential to provide users with information and counseling in complex areas such as disease management and health education. However, ensuring u…

cs.HC2024★ 14 cited

Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents

Mehdi Arjmand, Farnaz Nouraei, Ian Steenstra +1

We introduce the concept of "empathic grounding" in conversational agents as an extension of Clark's conceptualization of grounding in conversation in which the grounding criterion…

cs.HC2023★ 11 cited

Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions

Hye Sun Yun, Mehdi Arjmand, Phillip Sherlock +3

Standardized, validated questionnaires are vital tools in research and healthcare, offering dependable self-report data. Prior work has revealed that virtual agent-administered que…