University of Hertfordshire

By the same authors

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

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


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    Final published version, 432 KB, PDF document

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Original languageEnglish
Title of host publicationProcs IEEE Symposium on Artificial Life
Subtitle of host publicationALife '09
ISBN (Print)978-1-4244-2763-5
Publication statusPublished - 2009
EventIEEE Symposium on Artificial Life 2009 - Nashville, United States
Duration: 3 Mar 20092 Apr 2009


ConferenceIEEE Symposium on Artificial Life 2009
Country/TerritoryUnited States


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.


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ID: 457378