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dc.contributor.authorFrancois, D.
dc.contributor.authorPolani, D.
dc.contributor.authorDautenhahn, K.
dc.date.accessioned2009-03-13T12:00:59Z
dc.date.available2009-03-13T12:00:59Z
dc.date.issued2009
dc.identifier.citationFrancois , D , Polani , D & Dautenhahn , K 2009 , ' Towards socially adaptive robots : A novel method for real time recognition of human-robot interaction styles ' , Paper presented at 8th IEEE-RAS Int Conf on Humanoid Robots , Daejeon , Korea, Republic of , 1/12/08 - 3/12/08 pp. 353-359 . https://doi.org/10.1109/ICHR.2008.4756004
dc.identifier.citationconference
dc.identifier.otherPURE: 7866768
dc.identifier.otherPURE UUID: 7920ff8f-5f45-4f87-bb33-f591c0b6d7a3
dc.identifier.otherdspace: 2299/3023
dc.identifier.otherScopus: 63549140043
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098085
dc.identifier.urihttp://hdl.handle.net/2299/3023
dc.description“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.” DOI: 10.1109/ICHR.2008.4756004
dc.description.abstractAutomatically detecting different styles of play in human-robot interaction is a key challenge towards adaptive robots, i.e. robots that are able to regulate the interactions and adapt to different interaction styles of the robot users. In this paper we present a novel algorithm for pattern recognition in human-robot interaction, the Cascaded Information Bottleneck Method. We apply it to real-time autonomous recognition of human-robot interaction styles. This method uses an information theoretic approach and enables to progressively extract relevant information from time series. It relies on a cascade of bottlenecks, the bottlenecks being trained one after the other according to the existing Agglomerative Information Bottleneck Algorithm. We show that a structure for the bottleneck states along the cascade emerges and we introduce a measure to extrapolate unseen data. We apply this method to real-time recognition of Human-Robot Interaction Styles by a robot in a detailed case study. The algorithm has been implemented for real interactions between humans and a real robot. We demonstrate that the algorithm, which is designed to operate real time, is capable of classifying interaction styles, with a good accuracy and a very acceptable delay. Our future work will evaluate this method in scenarios on robot-assisted therapy for children with autism.en
dc.language.isoeng
dc.relation.ispartof
dc.titleTowards socially adaptive robots : A novel method for real time recognition of human-robot interaction stylesen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/ICHR.2008.4756004
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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