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Affective touch in human–robot interaction: Conveying emotion to the Nao robot
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. School of Informatics, University of Skövde, Skövde, Sweden.ORCID iD: 0000-0003-0159-9628
School of Informatics, University of Skövde, Skövde, Sweden.ORCID iD: 0000-0002-7554-2301
School of Informatics, University of Skövde, Skövde, Sweden.ORCID iD: 0000-0002-6568-9342
Department of Applied ITUniversity of Gothenburg, Gothenburg, Sweden.
2018 (English)In: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805, Vol. 10, p. 473-491Article in journal (Refereed) Published
Abstract [en]

Affective touch has a fundamental role in human development, social bonding, and for providing emotional support in interpersonal relationships. We present, what is to our knowledge, the first HRI study of tactile conveyance of both positive and negative emotions (affective touch) on the Nao robot, and based on an experimental set-up from a study of human–human tactile communication. In the present work, participants conveyed eight emotions to a small humanoid robot via touch. We found that female participants conveyed emotions for a longer time, using more varied interaction and touching more regions on the robot’s body, compared to male participants. Several differences between emotions were found such that emotions could be classified by the valence of the emotion conveyed, by combining touch amount and duration. Overall, these results show high agreement with those reported for human–human affective tactile communication and could also have impact on the design and placement of tactile sensors on humanoid robots.

Place, publisher, year, edition, pages
2018. Vol. 10, p. 473-491
National Category
Human Computer Interaction
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URN: urn:nbn:se:uu:diva-335361DOI: 10.1007/s12369-017-0446-3ISI: 000445226600007OAI: oai:DiVA.org:uu-335361DiVA, id: diva2:1162541
Available from: 2017-12-01 Created: 2017-12-04 Last updated: 2018-10-25Bibliographically approved

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Andreasson, Rebecca

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