Recognizing behaviors and the internal state of the participants

Wesley Kerr, Paul Cohen

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

4 Scopus citations

Abstract

Psychological research has demonstrated that subjects shown animations consisting of nothing more than simple geometric shapes perceive the shapes as being alive, having goals and intentions, and even engaging in social activities such as chasing and evading one another. While the subjects could not directly perceive affective state, motor commands, or the beliefs and intentions of the actors in the animations, they still used intentional language to describe the moving shapes. We present representations and algorithms that enable an artificial agent to correctly recognize other agents' activities by observing their behavior. In addition, we demonstrate that if the artificial agent learns about the activities through participation, where it has access to its own internal affective state, motor commands, etc., it can then infer the unobservable internal state of other agents.

Original languageEnglish (US)
Title of host publication2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Conference Program
Pages33-38
Number of pages6
DOIs
StatePublished - Nov 12 2010
Event2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Ann Arbor, MI, United States
Duration: Aug 18 2010Aug 21 2010

Publication series

Name2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Conference Program

Other

Other2010 IEEE 9th International Conference on Development and Learning, ICDL-2010
CountryUnited States
CityAnn Arbor, MI
Period8/18/108/21/10

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software
  • Education

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    Kerr, W., & Cohen, P. (2010). Recognizing behaviors and the internal state of the participants. In 2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Conference Program (pp. 33-38). [5578868] (2010 IEEE 9th International Conference on Development and Learning, ICDL-2010 - Conference Program). https://doi.org/10.1109/DEVLRN.2010.5578868