University of Hertfordshire

By the same authors

Motor Resonance as Indicator for Quality of Interaction - Does it Scale to Natural Movements?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publication17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
EditorsMehdi Dastani, Gita Sukthankar, Elisabeth André, Sven Koenig
PublisherInternational Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS)
Pages2227-2229
Number of pages3
Volume3
ISBN (Electronic)978-1-4503-5649-7
ISBN (Print)9781510868083
Publication statusPublished - 10 Jul 2018

Abstract

Detecting in an automatic manner whether a particular interaction between man and machine “works”, is an unsolved problem in human-machine interaction. No computational technique exists by which the artificial agent could perceive whether the interaction works from the viewpoint of the human or whether interactional breakdown is likely to occur. In human-robot interaction motor resonance has been proposed as a potential candidate for assessing what might be termed “quality of interaction”. Other authors have asserted that “the measure of resonance indicates the extent to which an artificial agent is considered as a social inter-actor” and call it “a plausible foundation for higher-order social cognition”. Motor interference is often used as a metric for resonance. While the above suggests that motor resonance might be suitable as general measure for the potential of an artificial agent to be conceived of as a social entity, the question remains whether it can be used as a measure for the quality of an ongoing interaction.

Notes

This paper is the output of work that is financed by a grant by the Air Force Office for Scientific Research (AFOSR). © 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

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