TY - JOUR
T1 - The synthetic teammate project
AU - Ball, Jerry
AU - Myers, Christopher
AU - Heiberg, Andrea
AU - Cooke, Nancy J.
AU - Matessa, Michael
AU - Freiman, Mary
AU - Rodgers, Stuart
N1 - Funding Information:
Acknowledgements This research is funded in part by applied research funds from the Warfighter Readiness Research Division, Human Effectiveness Directorate, 711th Human Performance Wing, Air Force Research Laboratory and by basic research funds from the Air Force Office of Scientific Research and Office of Naval Research. The Synthetic Teammate project is a sizable project involving collaboration between the Air Force Research Laboratory and the Cognitive Engineering Research Institute. Project team members not listed as authors on this paper—but who have contributed to the project in important ways—include Dee Andrews, Scott Douglass, Jasmine Duran, Kevin Gluck, Jack Harris, Mike Krusmark, Don Lyon, Harry Pedersen, Eric Robinson, Steven Shope, Ronnie Silber and Amanda Taylor.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Agent-environment interaction
KW - Dialog management
KW - Language comprehension/generation
KW - Situation model
KW - Synthetic teammate
UR - http://www.scopus.com/inward/record.url?scp=77957319115&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957319115&partnerID=8YFLogxK
U2 - 10.1007/s10588-010-9065-3
DO - 10.1007/s10588-010-9065-3
M3 - Article
AN - SCOPUS:77957319115
SN - 1381-298X
VL - 16
SP - 271
EP - 299
JO - Computational and Mathematical Organization Theory
JF - Computational and Mathematical Organization Theory
IS - 3
ER -