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

D. Francois; K. Dautenhahn; D. Polani

doi:10.1109/ALIFE.2009.4937693

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 proceeding › Conference contribution

7 Citations (Scopus)

30 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 language	English
Title of host publication	Procs IEEE Symposium on Artificial Life
Subtitle of host publication	ALife '09
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	45-52
ISBN (Print)	978-1-4244-2763-5
DOIs	https://doi.org/10.1109/ALIFE.2009.4937693
Publication status	Published - 2009
Event	IEEE Symposium on Artificial Life 2009 - Nashville, United States Duration: 3 Mar 2009 → 2 Apr 2009

Conference

Conference	IEEE Symposium on Artificial Life 2009
Country/Territory	United States
City	Nashville
Period	3/03/09 → 2/04/09

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10.1109/ALIFE.2009.4937693

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“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.”
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@inproceedings{9a818a77aa7e46f992237d00ba481546,

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

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.",

author = "D. Francois and K. Dautenhahn and D. Polani",

note = "“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/ALIFE.2009.4937693; IEEE Symposium on Artificial Life 2009 ; Conference date: 03-03-2009 Through 02-04-2009",

year = "2009",

doi = "10.1109/ALIFE.2009.4937693",

language = "English",

isbn = "978-1-4244-2763-5",

pages = "45--52",

booktitle = "Procs IEEE Symposium on Artificial Life",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

Francois, D, Dautenhahn, K & Polani, D 2009, Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play. in Procs IEEE Symposium on Artificial Life: ALife '09. Institute of Electrical and Electronics Engineers (IEEE), pp. 45-52, IEEE Symposium on Artificial Life 2009, Nashville, United States, 3/03/09. https://doi.org/10.1109/ALIFE.2009.4937693

Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play. / Francois, D.; Dautenhahn, K.; Polani, D.
Procs IEEE Symposium on Artificial Life: ALife '09. Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 45-52.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Using real-time recognition of human-robot interaction styles for creating adaptive robot behaviour in robot-assisted play

AU - Francois, D.

AU - Dautenhahn, K.

AU - Polani, D.

N1 - “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/ALIFE.2009.4937693

PY - 2009

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N2 - 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.

AB - 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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DO - 10.1109/ALIFE.2009.4937693

M3 - Conference contribution

SN - 978-1-4244-2763-5

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BT - Procs IEEE Symposium on Artificial Life

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE Symposium on Artificial Life 2009

Y2 - 3 March 2009 through 2 April 2009

ER -

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

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