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An image based non-verbal behaviour analysis of HRI
Western Sydney University, Sydney, Australia.
Western Sydney University, Sydney, Australia.
Western Sydney University, Sydney, Australia.
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. (Social Robotics)
2017 (English)In: Social Robotics, Springer, 2017, p. 23-31Conference paper, Published paper (Refereed)
Abstract [en]

Acceptance and engagement of users towards social robots is the yardstick by which the success and efficacy of Human-Robot Interaction (HRI) is measured. Metrics such as acceptance and engagement are normally measured through subjective (such as interviews) or objective measures (such as non-verbal behaviour). In this study, we report on a methodologically novel process of monitoring non-verbal behaviour of humans in visual images with a social robot. We qualitatively code pictures of humans with the Nao robot as found on Instagram. We specifically coded the emotions of the users as depicted by their facial expressions as well as their social distance maintained towards the robot. Our results show that in general humans persist with an overall positive, enthusiastic and engaging behaviour towards the Nao. Moreover, females were found to be much more expressive in their responses towards the Nao as compared to males - a gender effect. We conclude with the implications of our results and possible avenues of future research on the topic of measuring human engagement with social robots through visual stimuli.

Place, publisher, year, edition, pages
Springer, 2017. p. 23-31
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10652
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-335357DOI: 10.1007/978-3-319-70022-9_3ISI: 000449941100003ISBN: 978-3-319-70021-2 (print)ISBN: 978-3-319-70022-9 (electronic)OAI: oai:DiVA.org:uu-335357DiVA, id: diva2:1162512
Conference
9th International Conference on Social Robotics (ICSR), November 22–24, 2017, Tsukuba, Japan
Available from: 2017-10-24 Created: 2017-12-04 Last updated: 2019-02-28Bibliographically approved

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Obaid, Mohammad

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CiteExportLink to record
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Citation style
  • apa
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  • nn-NB
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Output format
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  • asciidoc
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