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Open AccessArticle

Interaction Histories and Short-Term Memory: Enactive Development of Turn-Taking Behaviours in a Childlike Humanoid Robot

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Centre for Computer Science & Informatics Research, University of Hertfordshire Adaptive Systems Research Group, Hatfield AL10 9AB, UK
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Department of Computer Science, Heriot-Watt University, Edinburgh EH14 4AS, UK
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Departments of Electrical and Computer Engineering and Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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Faculty of Computer and Informatics, Technical University of Istanbul, Istanbul 34469, Turkey
*
Author to whom correspondence should be addressed.
Philosophies 2019, 4(2), 26; https://doi.org/10.3390/philosophies4020026
Received: 19 February 2019 / Revised: 29 March 2019 / Accepted: 29 March 2019 / Published: 23 May 2019
In this article, an enactive architecture is described that allows a humanoid robot to learn to compose simple actions into turn-taking behaviours while playing interaction games with a human partner. The robot’s action choices are reinforced by social feedback from the human in the form of visual attention and measures of behavioural synchronisation. We demonstrate that the system can acquire and switch between behaviours learned through interaction based on social feedback from the human partner. The role of reinforcement based on a short-term memory of the interaction was experimentally investigated. Results indicate that feedback based only on the immediate experience was insufficient to learn longer, more complex turn-taking behaviours. Therefore, some history of the interaction must be considered in the acquisition of turn-taking, which can be efficiently handled through the use of short-term memory. View Full-Text
Keywords: human–robot interaction; turn-taking; developmental robotics human–robot interaction; turn-taking; developmental robotics
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Broz, F.; Nehaniv, C.L.; Kose, H.; Dautenhahn, K. Interaction Histories and Short-Term Memory: Enactive Development of Turn-Taking Behaviours in a Childlike Humanoid Robot. Philosophies 2019, 4, 26.

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