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Authors: Thorsten Hempel ; Laslo Dinges and Ayoub Al-Hamadi

Affiliation: Neuro-Information Technology, Faculty of Electrical Engineering and Information Technology, Otto von Guericke University, Magdeburg, Germany

Keyword(s): Human-Robot Interaction, Approaching Strategy, Sentiment Estimation, Emotion Detection, Anticipating Human Behaviors, Approaching People, Productive Teaming.

Abstract: Emotion expressions serve as important communicative signals and are crucial cues in intuitive interactions between humans. Hence, it is essential to include these fundamentals in robotic behavior strategies when interacting with humans to promote mutual understanding and to reduce misjudgements. We tackle this challenge by detecting and using the emotional state and attention for a sentiment analysis of potential human interaction partners to select well-adjusted engagement strategies. This way, we pave the way for more intuitive human-robot interactions, as the robot’s action conforms to the person’s mood and expectation. We propose four different engagement strategies with implicit and explicit communication techniques that we implement on a mobile robot platform for initial experiments.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Hempel, T.; Dinges, L. and Al-Hamadi, A. (2023). Sentiment-Based Engagement Strategies for Intuitive Human-Robot Interaction. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 680-686. DOI: 10.5220/0011772900003417

@conference{visapp23,
author={Thorsten Hempel. and Laslo Dinges. and Ayoub Al{-}Hamadi.},
title={Sentiment-Based Engagement Strategies for Intuitive Human-Robot Interaction},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={680-686},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011772900003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Sentiment-Based Engagement Strategies for Intuitive Human-Robot Interaction
SN - 978-989-758-634-7
IS - 2184-4321
AU - Hempel, T.
AU - Dinges, L.
AU - Al-Hamadi, A.
PY - 2023
SP - 680
EP - 686
DO - 10.5220/0011772900003417
PB - SciTePress

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