activity
20202023
most citedDeveloping Social Robots with Empathetic Non-Verbal Cues Using Large Language Models

17 citations · 37 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023★ 17 cited

Developing Social Robots with Empathetic Non-Verbal Cues Using Large Language Models

Yoon Kyung Lee, Yoonwon Jung, Gyuyi Kang +1

We propose augmenting the empathetic capacities of social robots by integrating non-verbal cues. Our primary contribution is the design and labeling of four types of empathetic non…

cs.RO2023★ 7 cited

Social Robots As Companions for Lonely Hearts: The Role of Anthropomorphism and Robot Appearance

Yoonwon Jung, Sowon Hahn

Loneliness is a distressing personal experience and a growing social issue. Social robots could alleviate the pain of loneliness, particularly for those who lack in-person interact…

cs.AI2023★ 8 cited

A Portrait of Emotion: Empowering Self-Expression through AI-Generated Art

Yoon Kyung Lee, Yong-Ha Park, Sowon Hahn

We investigated the potential and limitations of generative artificial intelligence (AI) in reflecting the authors' cognitive processes through creative expression. The focus is on…

cs.CL2023

When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus

Won Ik Cho, Yoon Kyung Lee, Seoyeon Bae +5

Building a natural language dataset requires caution since word semantics is vulnerable to subtle text change or the definition of the annotated concept. Such a tendency can be see…

cs.CL2021★ 1 cited

A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts

Yoon Kyung Lee, Inju Lee, Jae Eun Park +3

Theory-of-mind (ToM), a human ability to infer the intentions and thoughts of others, is an essential part of empathetic experiences. We provide here the framework for using NLP mo…

cs.HC2020★ 4 cited

Gentlemen on the Road: Understanding How Pedestrians Interpret Yielding Behavior of Autonomous Vehicles using Machine Learning

Yoon Kyung Lee, Yong-Eun Rhee, Jeh-Kwang Ryu +1

Autonomous vehicles (AVs) can prevent collisions by understanding pedestrian intention. We conducted a virtual reality experiment with 39 participants and measured crossing times (…