Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play

D. Francois, K. Dautenhahn, D. Polani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)
37 Downloads (Pure)

Abstract

This paper presents an application of the Cascaded Information Bottleneck Method for real-time recognition of Human-Robot Interaction styles in robot-assisted play. This method, that we have developed, is implemented here for an adaptive robot that can recognize and adapt to children's play styles in real time. The robot rewards well-balanced interaction styles and encourages children to engage in the interaction. The potential impact of such an adaptive robot in robot-assisted play for children with autism is evaluated through a study conducted with seven children with autism in a school. A statistical analysis of the results shows the positive impact of such an adaptive robot on the children's play styles and on their engagement in the interaction with the robot.
Original languageEnglish
Title of host publicationProcs IEEE Symposium on Artificial Life
Subtitle of host publicationALife '09
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages45-52
ISBN (Print)978-1-4244-2763-5
DOIs
Publication statusPublished - 2009
EventIEEE Symposium on Artificial Life 2009 - Nashville, United States
Duration: 3 Mar 20092 Apr 2009

Conference

ConferenceIEEE Symposium on Artificial Life 2009
Country/TerritoryUnited States
CityNashville
Period3/03/092/04/09

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