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abstract

Who Should Robots Adapt to within a Multi-Party Interaction in a Public Space?

Published: 07 March 2016 Publication History

Abstract

Robots in public environments are challenged with socially appropriate interactions with previously unseen users: they need to offer appropriate services and shape their interaction style according to the particular individual's needs and preferences, for example the elderly and children. In addition, interactions in public spaces are not limited to merely two parties, but often involve multi-party situations with changing numbers of participants. The research question of this work is to investigate what rules should a socially competent robot follow in order to adapt to such complex social situations in real-world scenarios.

References

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Scott Davidoff, Min Kyung Lee, John Zimmerman, and Anind Dey. Socially-aware requirements for a smart home. In in Proceedings of the International Symposium on Intelligent Environments, pages 41--44, 2006.
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Cristen Torrey, Aaron Powers, Matthew Marge, Susan R. Fussell, and Sara Kiesler. Effects of adaptive robot dialogue on information exchange and social relations. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-robot Interaction, HRI '06, pages 126--133, New York, NY, USA, 2006. ACM.
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Anara. Sandygulova, Mauro. Dragone, and Gregory MP O'Hare. Real-time adaptive child-robot interaction: Age and gender determination of children based on 3d body metrics. In Robot and Human Interactive Communication, 2014 RO-MAN: The 23rd IEEE International Symposium on, pages 826--831, Aug 2014.

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Information & Contributors

Information

Published In

cover image ACM Conferences
HRI '16: The Eleventh ACM/IEEE International Conference on Human Robot Interaction
March 2016
676 pages
ISBN:9781467383707

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In-Cooperation

  • AAAI: American Association for Artificial Intelligence
  • Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

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IEEE Press

Publication History

Published: 07 March 2016

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Author Tags

  1. human-robot interaction
  2. multi-party interaction
  3. public spaces
  4. social robotics

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HRI '16
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HRI '16 Paper Acceptance Rate 45 of 181 submissions, 25%;
Overall Acceptance Rate 268 of 1,124 submissions, 24%

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