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Congruency Matters - How Ambiguous Gender Cues Increase a Robot’s Uncanniness
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. (Division of Visual Information and Interaction)
KTH Royal Institute of Technology.
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, Division of Visual Information and Interaction. (Division of Visual Information and Interaction)
2016 (English)In: / [ed] Agah, A., Cabibihan, J.-J., Howard, A., Salichs, M.A., He, H., Springer, 2016, 402-412 p.Conference paper (Refereed)
Abstract [en]

Most research on the uncanny valley effect is concerned with the influence of human-likeness and realism as a trigger of an uncanny feeling in humans. There has been a lack of investigation on the effect of other dimensions, for example, gender. Back-projected robotic heads allow us to alter visual cues in the appearance of the robot in order to investigate how the perception of it changes. In this paper, we study the influence of gender on the perceived uncanniness. We conducted an experiment with 48 participants in which we used different modalities of interaction to change the strength of the gender cues in the robot. Results show that incongruence in the gender cues of the robot, and not its specific gender, influences the uncanniness of the back-projected robotic head. This finding has potential implications for both the perceptual mismatch and categorization ambiguity theory as a general explanation of the uncanny valley effect.

Place, publisher, year, edition, pages
Springer, 2016. 402-412 p.
National Category
Robotics
Identifiers
URN: urn:nbn:se:uu:diva-308416DOI: 10.1007/978-3-319-47437-3_39ISBN: 9783319474373OAI: oai:DiVA.org:uu-308416DiVA: diva2:1049723
Conference
8th International Conference on Social Robotics, Kansas City. USA
Funder
EU, Horizon 2020, ICT 644204
Available from: 2016-11-25 Created: 2016-11-25 Last updated: 2016-11-30Bibliographically approved

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Paetzel, MaikeNyström, IngelaCastellano, Ginevra
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Division of Visual Information and InteractionDepartment of Information Technology
Robotics

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