Cameron, D. orcid.org/0000-0001-8923-5591, Millings, A. orcid.org/0000-0002-7849-6048, Fernando, S. et al. (5 more authors) (2018) The effects of robot facial emotional expressions and gender on child-robot interaction in a field study. Connection Science, 30 (4). pp. 343-361. ISSN 0954-0091
Abstract
Emotions, and emotional expression, have a broad influence on social interactions and are thus a key factor to consider in developing social robots. This study examined the impact of life-like affective facial expressions, in the humanoid robot Zeno, on children’s behaviour and attitudes towards the robot. Results indicate that robot expressions have mixed effects depending on participant gender. Male participants interacting with a responsive facially expressive robot showed a positive affective response and indicated greater liking towards the robot, compared to those interacting with the same robot maintaining a neutral expression. Female participants showed no marked difference across the conditions. We discuss the broader implications of these findings in terms of gender differences in human–robot interaction, noting the importance of the gender appearance in robots (in this case, male) and in relation to advancing the understanding of how interactions with expressive robots could lead to task-appropriate symbiotic relationships.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of a paper subsequently published in Connection Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | HRI; Social-Robotics; Facial-Expressions; Symbiosis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 EASEL - 611971 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Dec 2017 10:40 |
Last Modified: | 12 Apr 2024 11:27 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/09540091.2018.1454889 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:122298 |