most citedExploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community

21 citations · 22 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2025

A Field Guide to Deploying AI Agents in Clinical Practice

Jack Gallifant, Katherine C. Kellogg, Matt Butler +19

Large language models (LLMs) integrated into agent-driven workflows hold immense promise for healthcare, yet a significant gap exists between their potential and practical implemen…

cs.CL20251 cited

Adaptive-VP: A Framework for LLM-Based Virtual Patients that Adapts to Trainees' Dialogue to Facilitate Nurse Communication Training

Keyeun Lee, Seolhee Lee, Esther Hehsun Kim +9

Effective communication training is essential to preparing nurses for high-quality patient care. While standardized patient (SP) simulations provide valuable experiential learning,…

cs.CL2025

SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent

Keyeun Lee, Seo Hyeong Kim, Seolhee Lee +8

Existing methods for simulating individual identities often oversimplify human complexity, which may lead to incomplete or flattened representations. To address this, we introduce…

cs.HC2025

Letters from Future Self: Augmenting the Letter-Exchange Exercise with LLM-based Agents to Enhance Young Adults' Career Exploration

Hayeon Jeon, Suhwoo Yoon, Keyeun Lee +9

Young adults often encounter challenges in career exploration. Self-guided interventions, such as the letter-exchange exercise, where participants envision and adopt the perspectiv…

cs.HC202221 cited

Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community

Donghoon Shin, Subeen Park, Esther Hehsun Kim +3

Social support in online mental health communities (OMHCs) is an effective and accessible way of managing mental wellbeing. In this process, sharing emotional supports is considere…