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Authors: Dennis Küster and Arvid Kappas

Affiliation: Jacobs University Bremen, Germany

ISBN: 978-989-758-006-2

Keyword(s): Social Robots, Psychophysiology, Emotion, Measurement, Taxonomy.

Abstract: Humans are extremely efficient in interacting with each other. They not only follow goals to exchange information, but modulate the interaction based on nonverbal cues, knowledge about situational context, and person information in real time. What comes so easy to humans poses a formidable challenge for artificial systems, such as social robots. Providing such systems with sophisticated sensor data that includes expressive behavior and physiological changes of their interaction partner holds much promise, but there is also reason to be skeptical. We will discuss issues of specificity and stability of responses with view to different levels of context.

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Paper citation in several formats:
Küster D. and Kappas A. (2014). What Could a Body Tell a Social Robot that It Does Not Know?.In Proceedings of the International Conference on Physiological Computing Systems - Volume 1: OASIS, (PhyCS 2014) ISBN 978-989-758-006-2, pages 358-367. DOI: 10.5220/0004892503580367

@conference{oasis14,
author={Dennis Küster and Arvid Kappas},
title={What Could a Body Tell a Social Robot that It Does Not Know?},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - Volume 1: OASIS, (PhyCS 2014)},
year={2014},
pages={358-367},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004892503580367},
isbn={978-989-758-006-2},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: OASIS, (PhyCS 2014)
TI - What Could a Body Tell a Social Robot that It Does Not Know?
SN - 978-989-758-006-2
AU - Küster D.
AU - Kappas A.
PY - 2014
SP - 358
EP - 367
DO - 10.5220/0004892503580367

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