activity
20232026
most citedAin't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru

14 citations · 25 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

UNWIND: Any-Length Facial Video for Stress Detection without Temporal Windowing

Stefanos Gkikas, Christian Arzate Cruz, Eric Nichols +2

Automatic stress recognition from facial video provides a non-contact approach for affective monitoring. However, most existing video-based methods divide complete recordings into…

cs.AI2026

MUPAE: Multimodal Unified Perception with Asymmetric Attention for Emotion Assessment

Stefanos Gkikas, Eric Nichols, Christian Arzate Cruz +1

Automatic emotion assessment can benefit from combining neural and behavioral signals, but many multimodal approaches rely on separate, modality-specific feature-extraction pipelin…

eess.SP2026

Beyond the Raw Waveform: Fusing Visual Representations of EDA for Stress Detection

Stefanos Gkikas, Thomas Kassiotis, Yang Guo +5

Electrodermal activity (EDA) is widely used in automatic stress detection, yet most pipelines treat it only as a raw one-dimensional waveform. This study examines whether complemen…

cs.RO2026

How Should I Pick a Foundation Model for My Robot? In Favor of a Community Evaluation Framework for Social Robots

Eric Nichols, Alva Markelius, Hatice Gunes

Researchers who seek to build social robot applications on foundation models are faced with a difficult question: how should we pick a model? Public leaderboards offer little guida…

cs.HC2026

Toward Personalized Social Robots for Child Well-being: Data Requirement Principles from a Recommender-System Perspective

Jin Huang, Eric Nichols, Fethiye Irmak Dogan +1

Social robots are increasingly deployed in clinical settings to support the well-being of children, where effective support must be personalized to each child. Personalization, cho…

cs.RO2024★ 14 cited

Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru

Zining Wang, Paul Reisert, Eric Nichols +1

Social robots aim to establish long-term bonds with humans through engaging conversation. However, traditional conversational approaches, reliant on scripted interactions, often fa…

cs.RO2024★ 11 cited

Developing Autonomous Robot-Mediated Behavior Coaching Sessions with Haru

Matouš Jelínek, Eric Nichols, Randy Gomez

This study presents an empirical investigation into the design and impact of autonomous dialogues in human-robot interaction for behavior change coaching. We focus on the use of Ha…

cs.HC2023

A Study on Social Robot Behavior in Group Conversation

Tung Nguyen, Eric Nichols, Randy Gomez

Recently, research in human-robot interaction began to consider a robot's influence at the group level. Despite the recent growth in research investigating the effects of robots wi…