The synthetic teammate project

Jerry Ball (), Christopher Myers (), Andrea Heiberg (), Nancy J. Cooke (), Michael Matessa (), Mary Freiman () and Stuart Rodgers ()
Additional contact information
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

Computational and Mathematical Organization Theory, 2010, vol. 16, issue 3, No 4, 299 pages

Abstract: 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.

Keywords: Synthetic teammate; Language comprehension/generation; Dialog management; Situation model; Agent-environment interaction (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10588-010-9065-3

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