2 citations · 2 across the 4 of their papers we have counts for
4 papers
Evaluating Behavioral Alignment in Conflict Dialogue: A Multi-Dimensional Comparison of LLM Agents and Humans
Deuksin Kwon, Kaleen Shrestha, Bin Han +2
Large Language Models (LLMs) are increasingly deployed in socially complex, interaction-driven tasks, yet their ability to mirror human behavior in emotionally and strategically co…
Can LLMs Generate Behaviors for Embodied Virtual Agents Based on Personality Traits?
Bin Han, Deuksin Kwon, Spencer Lin +2
This study proposes a framework that employs personality prompting with Large Language Models to generate verbal and nonverbal behaviors for virtual agents based on personality tra…
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Zhonghao Shi, Enyu Zhao, Nathaniel Dennler +6
Real-time human perception is crucial for effective human-robot interaction (HRI). Large vision-language models (VLMs) offer promising generalizable perceptual capabilities but oft…
How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey
Zhonghao Shi, Ellen Landrum, Amy O' Connell +5
Socially assistive robots (SARs) have shown great success in providing personalized cognitive-affective support for user populations with special needs such as older adults, childr…