activity
20242026
most citedRoleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

FaciliTrain: Practicing Facilitation Skills through AI-Simulated Group Dialogue

Hang Jiang, Yuanxin Zhu, Diyi Yang +3

Skilled facilitation supports inclusive small-group dialogue, but deliberate practice is hard to scale: it depends on expert coaches, live practice partners, and iterative feedback…

cs.HC2026

Behavior Latticing: Inferring User Motivations from Unstructured Interactions

Dora Zhao, Michelle S. Lam, Diyi Yang +1

A long-standing vision of computing is the personal AI system: one that understands us well enough to address our underlying needs. Today's AI focuses on what users do, ignoring wh…

cs.HC2026

Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Study

Ananya Bhattacharjee, Michael Liut, Matthew Jörke +2

Digital mental health (DMH) tools have extensively explored personalization of interventions to users' needs and contexts. However, this personalization often targets what support…

cs.HC2025★ 5 cited

Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors

Ryan Louie, Raj Sanjay Shah, Ifdita Hasan Orney +3

The growing demand for accessible mental health support requires training more counselors, yet existing approaches remain resource-intensive and difficult to scale. LLMs can realis…

cs.CL2024★ 7 cited

Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles

Ryan Louie, Ananjan Nandi, William Fang +3

Recent works leverage LLMs to roleplay realistic social scenarios, aiding novices in practicing their social skills. However, simulating sensitive interactions, such as in mental h…