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Perspective taking: an organizing principle for learning in human-robot interaction

Published: 16 July 2006 Publication History

Abstract

The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teachers must similarly be able to engage in perspective taking. We present an integrated architecture wherein the robot's cognitive functionality is organized around the ability to understand the environment from the perspective of a social partner as well as its own. The performance of this architecture on a set of learning tasks is evaluated against human data derived from a novel study examining the importance of perspective taking in human learning. Perspective taking, both in humans and in our architecture, focuses the agent's attention on the subset of the problem space that is important to the teacher. This constrained attention allows the agent to overcome ambiguity and incompleteness that can often be present in human demonstrations and thus learn what the teacher intends to teach.

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Cited By

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  • (2021)Theory of Mind and Joint AttentionThe Handbook on Socially Interactive Agents10.1145/3477322.3477332(311-348)Online publication date: 10-Sep-2021
  • (2018)Toward Initiative Decision-Making for Distributed Human-Robot TeamsProceedings of the 6th International Conference on Human-Agent Interaction10.1145/3284432.3284467(286-292)Online publication date: 4-Dec-2018
  • (2018)Social CobotsProceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171256(398-406)Online publication date: 26-Feb-2018
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cover image Guide Proceedings
AAAI'06: proceedings of the 21st national conference on Artificial intelligence - Volume 2
July 2006
1981 pages
ISBN:9781577352815

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  • AAAI: American Association for Artificial Intelligence

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AAAI Press

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Published: 16 July 2006

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View all
  • (2021)Theory of Mind and Joint AttentionThe Handbook on Socially Interactive Agents10.1145/3477322.3477332(311-348)Online publication date: 10-Sep-2021
  • (2018)Toward Initiative Decision-Making for Distributed Human-Robot TeamsProceedings of the 6th International Conference on Human-Agent Interaction10.1145/3284432.3284467(286-292)Online publication date: 4-Dec-2018
  • (2018)Social CobotsProceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171256(398-406)Online publication date: 26-Feb-2018
  • (2015)Trust-guided behavior adaptation using case-based reasoningProceedings of the 24th International Conference on Artificial Intelligence10.5555/2832747.2832851(4261-4267)Online publication date: 25-Jul-2015
  • (2014)Walking togetherJournal of Human-Robot Interaction10.5898/JHRI.3.2.Morales3:2(50-73)Online publication date: 10-Jul-2014
  • (2013)Will i bother here?Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction10.5555/2447556.2447664(259-266)Online publication date: 3-Mar-2013
  • (2012)Do you remember that shop?Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction10.1145/2157689.2157836(447-454)Online publication date: 5-Mar-2012
  • (2012)How do people walk side-by-side?Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction10.1145/2157689.2157799(301-308)Online publication date: 5-Mar-2012
  • (2011)Modeling environments from a route perspectiveProceedings of the 6th international conference on Human-robot interaction10.1145/1957656.1957815(441-448)Online publication date: 6-Mar-2011
  • (2010)Pointing to spaceProceedings of the 5th ACM/IEEE international conference on Human-robot interaction10.5555/1734454.1734559(301-308)Online publication date: 2-Mar-2010
  • Show More Cited By

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