Who, how, where: Using exemplars to learn social concepts

Alan R. Wagner, Jigar Doshi

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

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationSocial Robotics - 5th International Conference, ICSR 2013, Proceedings
Pages481-490
Number of pages10
DOIs
StatePublished - Dec 1 2013
Event5th International Conference on Social Robotics, ICSR 2013 - Bristol, United Kingdom
Duration: Oct 27 2013Oct 29 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8239 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Social Robotics, ICSR 2013
CountryUnited Kingdom
CityBristol
Period10/27/1310/29/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Wagner, A. R., & Doshi, J. (2013). Who, how, where: Using exemplars to learn social concepts. In Social Robotics - 5th International Conference, ICSR 2013, Proceedings (pp. 481-490). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8239 LNAI). https://doi.org/10.1007/978-3-319-02675-6_48