Modulating the Non-Verbal Social Signals of a Humanoid Robot (original) (raw)

Deshmukh, Amol ORCID: https://orcid.org/0000-0003-4942-3621, Craenen, Bart, Vinciarelli, Alessandro ORCID: https://orcid.org/0000-0002-9048-0524 and Foster, Mary Ellen ORCID: https://orcid.org/0000-0002-1228-7657(2017) Modulating the Non-Verbal Social Signals of a Humanoid Robot. In: 19th ACM International Conference on Multimodal Interaction (ICMI 2017), Glasgow, Scotland, 13-17 Nov 2017, pp. 508-509. ISBN 9781450355438(doi: 10.1145/3136755.3143028)

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Abstract

In this demonstration we present a repertoire of social signals generated by the humanoid robot Pepper in the context of the EU-funded project MuMMER. The aim of this research is to provide the robot with the expressive capabilities required to interact with people in real-world public spaces such as shopping malls-and being able to control the non-verbal behaviour of such a robot is key to engaging with humans in an effective way. We propose an approach to modulating the non-verbal social signals of the robot based on systematically varying the amplitude and speed of the joint motions and gathering user evaluations of the resulting gestures. We anticipate that the humans' perception of the robot behaviour will be influenced by these modulations.

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Funder and Project Information

1

MUMMER

Mary Ellen Foster

688147

SCHOOL OF COMPUTING SCIENCE

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