Reverse Engineering Psychologically Valid Facial Expressions of Emotion into Social Robots

Chen, C. , Garrod, O. G.B., Zhan, J., Beskow, J., Schyns, P. G. and Jack, R. E. (2018) Reverse Engineering Psychologically Valid Facial Expressions of Emotion into Social Robots. In: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi'an, China, 15-19 May 2018, pp. 448-452. ISBN 9781538623350 (doi:10.1109/FG.2018.00072)

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Abstract

Social robots are now part of human society, destined for schools, hospitals, and homes to perform a variety of tasks. To engage their human users, social robots must be equipped with the essential social skill of facial expression communication. Yet, even state-of-the-art social robots are limited in this ability because they often rely on a restricted set of facial expressions derived from theory with well-known limitations such as lacking naturalistic dynamics. With no agreed methodology to objectively engineer a broader variance of more psychologically impactful facial expressions into the social robots' repertoire, human-robot interactions remain restricted. Here, we address this generic challenge with new methodologies that can reverse-engineer dynamic facial expressions into a social robot head. Our data-driven, user-centered approach, which combines human perception with psychophysical methods, produced highly recognizable and human-like dynamic facial expressions of the six classic emotions that generally outperformed state-of-art social robot facial expressions. Our data demonstrates the feasibility of our method applied to social robotics and highlights the benefits of using a data-driven approach that puts human users as central to deriving facial expressions for social robots. We also discuss future work to reverse-engineer a wider range of socially relevant facial expressions including conversational messages (e.g., interest, confusion) and personality traits (e.g., trustworthiness, attractiveness). Together, our results highlight the key role that psychology must continue to play in the design of social robots.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jack, Dr Rachael and Garrod, Dr Oliver and Schyns, Professor Philippe and Chen, Dr Chaona and Zhan, Miss Jiayu
Authors: Chen, C., Garrod, O. G.B., Zhan, J., Beskow, J., Schyns, P. G., and Jack, R. E.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
College of Science and Engineering > School of Psychology
ISBN:9781538623350
Copyright Holders:Copyright © 2018 The Authors
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3007960Equipping Social Robots with Culturally Valid Facial ExpressionsRachael JackBritish Academy (BRITACAD)SG171783Psychology
698281Brain Algorithmics: Reverse Engineering Dynamic Information Processing Networks from MEG time seriesPhilippe SchynsWellcome Trust (WELLCOTR)107802/Z/15/ZINP - CENTRE FOR COGNITIVE NEUROIMAGING
700661Visual Commonsense for Scene UnderstandingPhilippe SchynsEngineering and Physical Sciences Research Council (EPSRC)EP/N019261/1INP - CENTRE FOR COGNITIVE NEUROIMAGING