Optimising robot personalities for symbiotic interaction

Fernando, S., Collins, E.C., Duff, A. et al. (3 more authors) (2014) Optimising robot personalities for symbiotic interaction. In: Biomimetic and Biohybrid Systems. Third International Conference, Living Machines 2014, July 30 – August 1, 2014, Milan, Italy. Lecture Notes in Computer Science, 8608 . Springer International Publishing , pp. 392-395. ISBN 9783319094342

Abstract

The Expressive Agents for Symbiotic Education and Learning (EASEL) project will explore human-robot symbiotic interaction (HRSI) with the aim of developing an understanding of symbiosis over long term tutoring interactions. The EASEL system will be built upon an established and neurobiologically grounded architecture - Distributed Adaptive Control (DAC). Here we present the design of an initial experiment in which our facially expressive humanoid robot will interact with children at a public exhibition. We discuss the range of measurements we will employ to explore the effects our robot's expressive ability has on interaction with children during HRSI, with the aim of contributing optimal robot personality parameters to the final EASEL model. © 2014 Springer International Publishing.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Fernando, S. Collins, E.C. Duff, A. Moore, R.K. https://orcid.org/0000-0003-0065-3311 Verschure, P.F.M.J. Prescott, T.J.
Copyright, Publisher and Additional Information:	© 2014 Springer International Publishing Switzerland. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Dates:	Published: 1 January 2014
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Depositing User:	Symplectic Sheffield
Date Deposited:	21 Feb 2017 13:16
Last Modified:	12 Apr 2017 00:41
Published Version:	https://doi.org/10.1007/978-3-319-09435-9_40
Status:	Published
Publisher:	Springer International Publishing
Series Name:	Lecture Notes in Computer Science
Refereed:	Yes
Identification Number:	10.1007/978-3-319-09435-9_40
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:108450

CORE (COnnecting REpositories)

Optimising robot personalities for symbiotic interaction

Abstract

Metadata

Download

Accepted Version

Export

Statistics