Abstract
This article introduces exemplars as a method of stereotype learning by social robot. An exemplar is a highly specific representation of an interaction with a particular person. Methods that allow a robot to create prototypes from its set of exemplars are presented. Using these techniques, we develop the situation prototype, a representation that captures information about an environment, the people typically found in an environment, and their actions. We show that this representation can be used by a robot to reason about several important social questions.
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References
Wagner, A.R.: Creating and Using Matrix Representations of Social Interaction. In: The 4th ACM/IEEE International Conference on Human-Robot Interaction, San Diego CA (2009)
Wagner, A.R.: Using Cluster-based Stereotyping to Foster Human-Robot Cooperation. In: Proceedings of IEEE International Conference on Intelligent Robots and Systems (IROS 2012), Villamura, Portugal (2012)
Schneider, D.J.: The Psychology of Stereotyping. The Guilford Press, New York (2004)
Edwards, A.: Studies of Stereotypes: I. The directionality and uniformity of responses to stereotypes. J. of Soc. Psy. 12, 357–366 (1940)
Smith, E.R., Zarate, M.A.: Exemplar-Based Model of Social Judgement. Psy. Rev. (1992)
Rich, E.: User Modeling via Stereotypes. Cognitive Science 3(197), 329–354 (1979)
Ballim, A., Wilks, Y.: Beliefs, stereotypes, and dynamic agent modeling. User Modeling and User-Adapted Interaction 1(1), 33–65 (1991)
Fong, T., Thorpe, C., Baur, C.: Collaboration, dialogue, and human–robot interaction. In: Proceedings of the International Symposium on Robotics Research (2001)
Duffy, B.: Robots Social Embodiment in Autonomous Mobile Robotics. International Journal of Advanced Robotic Systems 1(3) (2004)
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Wagner, A.R., Doshi, J. (2013). Who, How, Where: Using Exemplars to Learn Social Concepts. In: Herrmann, G., Pearson, M.J., Lenz, A., Bremner, P., Spiers, A., Leonards, U. (eds) Social Robotics. ICSR 2013. Lecture Notes in Computer Science(), vol 8239. Springer, Cham. https://doi.org/10.1007/978-3-319-02675-6_48
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DOI: https://doi.org/10.1007/978-3-319-02675-6_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02674-9
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