Optimising robot personalities for symbiotic interaction

Samuel Fernando, Emily Collins, Armin Duff, Roger K Moore, Paul F.M.J. Verschure, Tony J Prescott

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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.
Original languageUndefined
Title of host publicationBiomimetic and Biohybrid Systems
EditorsArmin Duff, Nathan F Lepora, Anna Mura, Tony J Prescott, Paul F M Verschure
PublisherSpringer Nature
Pages392-395
Number of pages4
ISBN (Electronic)9783319094359
ISBN (Print)9783319094342
DOIs
Publication statusPublished - 2014
EventThird International Conference, Living Machines - Milan, Italy
Duration: 30 Jul 20141 Aug 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8608

Conference

ConferenceThird International Conference, Living Machines
Country/TerritoryItaly
CityMilan
Period30/07/141/08/14

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