loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

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

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.224.33.107

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic