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The synthetic teammate project

Author

Listed:
  • Jerry Ball

    (Air Force Research Laboratory)

  • Christopher Myers

    (Air Force Research Laboratory)

  • Andrea Heiberg

    (General Motors)

  • Nancy J. Cooke

    (Cognitive Engineering Research Institute)

  • Michael Matessa

    (Alion)

  • Mary Freiman

    (L3 Communications)

  • Stuart Rodgers

    (AGS TechNet)

Abstract

The main objective of the Synthetic Teammate project is to develop language and task enabled synthetic agents capable of being integrated into team training simulations. To achieve this goal, the agents must be able to closely match human behavior. The initial application for the synthetic teammate research is creation of an agent able to perform the functions of a pilot for an Unmanned Aerial Vehicle (UAV) simulation as part of a three-person team. The agent, or synthetic teammate, is being developed in the ACT-R cognitive architecture. The major components include: language comprehension and generation, dialog management, agent-environment interaction, and situation assessment. Initial empirical results suggest that the agent-environment interaction is a good approximation to human behavior in the UAV environment, and we are planning further empirical tests of the synthetic teammate operating with human teammates. This paper covers the project’s modeling approach, challenges faced, progress made toward an integrated synthetic teammate, and lessons learned during development.

Suggested Citation

  • Jerry Ball & Christopher Myers & Andrea Heiberg & Nancy J. Cooke & Michael Matessa & Mary Freiman & Stuart Rodgers, 2010. "The synthetic teammate project," Computational and Mathematical Organization Theory, Springer, vol. 16(3), pages 271-299, September.
    • Handle: RePEc:spr:comaot:v:16:y:2010:i:3:d:10.1007_s10588-010-9065-3
    DOI: 10.1007/s10588-010-9065-3
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    Cited by:

    1. Frank E. Ritter & William G. Kennedy & Bradley J. Best, 2013. "The best papers from BRIMS 2011: models of users and teams interacting," Computational and Mathematical Organization Theory, Springer, vol. 19(3), pages 283-287, September.

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