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Evaluating robot facial expressions

Published: 03 November 2017 Publication History

Abstract

This paper outlines a demonstration of the work carried out in the SoCoRo project investigating how far a neuro-typical population recognises facial expressions on a non-naturalistic robot face that are designed to show approval and disapproval. RFID-tagged objects are presented to an Emys robot head (called Alyx) and Alyx reacts to each with a facial expression. Participants are asked to put the object in a box marked 'Like' or 'Dislike'. This study is being extended to include assessment of participants' Autism Quotient using a validated questionnaire as a step towards using a robot to help train high-functioning adults with an Autism Spectrum Disorder in social signal recognition.

References

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P. Ekman, W. Friesen, and P. Ellsworth. 1982. What emotion categories or dimensions can observers judge from facial behavior? In Emotion in the Human Face, P. Ekman (Ed.). Cambridge University Press.
[2]
A. Hillier, H. Campbell, Mastriani, K., M. V. Izzo, A. K. Kool-Tucker, and D. Q. Cherry, L.and Beversdorf. 2007. Two-Year Evaluation of a Vocational Support Program for Adults on the Autism Spectrum, Career Dev. Transit. Career Dev. Transit. Except. Individ. 30, 1 (2007), 35-47.
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A. Mehrabian. 1996. Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology 14, 4 (1996), 261âĂŞ292.
[4]
R.S.Aylett, Frank Broz, Ayan Ghosh, Mei Yii Lim, Peter McKenna, and Gnanathusharan Rajendran. 2017. Do you think I approve of that? Designing facial expressions for a robot. In Proceedings of the 9th. International Conference on Social Robotics (Lecture Notes on AI LNAI). Springer International. to appear. Abstract 1 Introduction 2 Facial expressions for Alyx 3 Demonstrating approval and disapproval 4 Conclusions Acknowledgments References

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cover image ACM Conferences
ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction
November 2017
676 pages
ISBN:9781450355438
DOI:10.1145/3136755
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2017

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Author Tags

  1. Human-robot interaction
  2. Robot expressive behaviour
  3. Social Signal Recognition

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  • Short-paper

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ICMI '17
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ICMI '17 Paper Acceptance Rate 65 of 149 submissions, 44%;
Overall Acceptance Rate 453 of 1,080 submissions, 42%

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