1 citations · 1 across the 4 of their papers we have counts for
8 papers
Trust Stack for Mental Health AI: A Survey of Calibration across Human, Interaction, and AI Layers
Xin Sun, Yue Su, Yifan Mo +9
Language-based AI is increasingly deployed for mental health support, yet trust is evaluated in interdisciplinary but operationally misaligned ways: NLP and AI work measures robust…
StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation
Qingyu Meng, Min Chen, Dingming Liu +5
Large language models (LLMs) can generate fluent dialogue, but prior works lack situational grounding, dynamic strategy control, and evaluation aligned with clinical standards in m…
Gaze-Aware Task Progression Detection Framework for Human-Robot Interaction Using RGB Cameras
Linlin Cheng, Koen Hindriks, Artem V. Belopolsky
In human-robot interaction (HRI), detecting a human's gaze helps robots interpret user attention and intent. However, most gaze detection approaches rely on specialized eye-trackin…
NeuroWise: A Multi-Agent LLM "Glass-Box" System for Practicing Double-Empathy Communication with Autistic Partners
Albert Tang, Yifan Mo, Jie Li +5
The double empathy problem frames communication difficulties between neurodivergent and neurotypical individuals as arising from mutual misunderstanding, yet most interventions foc…
Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
Jiahuan Pei, Fanghua Ye, Xin Sun +3
Large language models (LLMs) have advanced virtual educators and learners, bridging NLP with AI4Education. Existing work often lacks scalability and fails to leverage diverse, larg…
Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder Diagnosis
Mithat Can Ozgun, Jiahuan Pei, Koen Hindriks +3
LLM-based agents have emerged as transformative tools capable of executing complex tasks through iterative planning and action, achieving significant advancements in understanding…