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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

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Showing 2026Show all

5 papers · 1 filter

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…