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Investigating the influence of embodiment on facial mimicry in HRI using computer vision-based measures
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. RoboCup Team Hamburg Bit-Bots.
Univ Paris 06, Inst Syst Intelligents & Robot, Paris, France.
Univ Paris 06, Inst Syst Intelligents & Robot, Paris, France.
Univ Paris 06, Inst Syst Intelligents & Robot, Paris, France.
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2017 (English)In: Proc. 26th International Symposium on Robot and Human Interactive Communication (Ro-Man), IEEE, 2017, p. 579-586Conference paper, Published paper (Refereed)
Abstract [en]

Mimicry plays an important role in social interaction. In human communication, it is used to establish rapport and bonding both with other humans, as well as robots and virtual characters. However, little is known about the underlying factors that elicit mimicry in humans when interacting with a robot. In this work, we study the influence of embodiment on participants' ability to mimic a social character. Participants were asked to intentionally mimic the laughing behavior of the Furhat mixed embodied robotic head and a 2D virtual version of the same character. To explore the effect of embodiment, we present two novel approaches to automatically assess people's ability to mimic based solely on videos of their facial expressions. In contrast to participants' self-assessment, the analysis of video recordings suggests a better ability to mimic when people interact with the 2D embodiment.

Place, publisher, year, edition, pages
IEEE, 2017. p. 579-586
Series
IEEE RO-MAN, E-ISSN 1944-9437
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-334782DOI: 10.1109/ROMAN.2017.8172361ISI: 000427262400091ISBN: 978-1-5386-3519-3 (print)ISBN: 978-1-5386-3518-6 (electronic)ISBN: 978-1-5386-3517-9 OAI: oai:DiVA.org:uu-334782DiVA, id: diva2:1160643
Conference
RO-MAN 2017, August 28 – September 1, Lisbon, Portugal
Funder
EU, Horizon 2020, 644204Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2018-07-30Bibliographically approved

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Paetzel, MaikeCastellano, Ginevra

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