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.
Original language | English |
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Title of host publication | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 |
Editors | Mehdi Dastani, Gita Sukthankar, Elisabeth André, Sven Koenig |
Publisher | International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS) |
Pages | 2227-2229 |
Number of pages | 3 |
Volume | 3 |
ISBN (Electronic) | 978-1-4503-5649-7 |
ISBN (Print) | 9781510868083 |
Publication status | Published - 10 Jul 2018 |