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


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
Number of pages10
StatePublished - 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


Other5th International Conference on Social Robotics, ICSR 2013
Country/TerritoryUnited Kingdom

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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