@inproceedings{9226641b39c54310b74bf574ca7c9806,
title = "Who, how, where: Using exemplars to learn social concepts",
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.",
author = "Wagner, \{Alan R.\} and Jigar Doshi",
year = "2013",
doi = "10.1007/978-3-319-02675-6\_48",
language = "English (US)",
isbn = "9783319026749",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "481--490",
booktitle = "Social Robotics - 5th International Conference, ICSR 2013, Proceedings",
note = "5th International Conference on Social Robotics, ICSR 2013 ; Conference date: 27-10-2013 Through 29-10-2013",
}