Towards Learning How to Properly Play UNO with the iCub Robot

2019/08/02 by Pablo Barros, Stefan Wermter, Barros, Pablo +3
Computer Science · Psychology · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Emotion and Mood Recognition #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Robotics (cs.RO) #Social Robot Interaction and HRI

paper · pdf · doi:10.48550/arxiv.1908.00744

openalex publication_date 2019/08/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

While interacting with another person, our reactions and behavior are much affected by the emotional changes within the temporal context of the interaction. Our intrinsic affective appraisal comprising perception, self-assessment, and the affective memories with similar social experiences will drive specific, and in most cases addressed as proper, reactions within the interaction. This paper proposes the roadmap for the development of multimodal research which aims to empower a robot with the capability to provide proper social responses in a Human-Robot Interaction (HRI) scenario.

Citations

• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

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