Abstract
In a good team, members do not only perform their individual task, they also coordinate their actions with other members of the team. Developing such team skills usually involves exercises with all members playing their role. This approach is costly and has organizational and educational drawbacks. We developed a more efficient and flexible approach by setting training in virtual environments, and using intelligent software agents to play the role of team members. We developed a general framework for developing agents that, in a controlled fashion, execute the behavior that enables the human player (i.e., trainee) to effectively learn team skills. The framework is tested by developing and implementing various types of team agents in a game-based virtual environment.
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Baker, D.P., Salas, E.: Principles for measuring teamwork skills. Human Factors 34, 469–475 (1992)
Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and resource-bounded practical reasoning. Computational Intelligence 4, 349–355 (1988)
Burton, R.M., DeSanctis, G., Obel, B.: Organizational Design. Cambridge University Press, Cambridge (2006)
Castelfranchi, C.: Guarantees for autonomy in cognitive agent architecture. In: Wooldridge, M.J., Jennings, N.R. (eds.) ECAI 1994 and ATAL 1994. LNCS (LNAI), vol. 890, pp. 56–70. Springer, Heidelberg (1995)
Doswell, J.T.: Pedagogical Embodied Conversational Agent. In: Fourth IEEE International Conference on Advanced Learning Technologies, ICALT 2004, pp. 774–776 (2004)
Hübner, J.F., Sichman, J.S., Boissier, O.: A Model for the Structural, Functional, and Deontic Specification of Organizations in Multiagent Systems. In: Bittencourt, G., Ramalho, G.L. (eds.) SBIA 2002. LNCS (LNAI), vol. 2507, Springer, Heidelberg (2002)
Klein, G., Woods, D., Bradshaw, J.M., Hoffman, R.R., Feltovich, P.J.: Ten Challenges for Making Automation a Team Player. Joint Human-Agent Activity, IEEE Intelligent Systems 19(6) (2004)
Leung, A., Diller, D., Ferguson, W.: SABRE: A game-based testbed for studying team behavior. In: Proceedings of the Fall Simulation Interoperability Workshop (SISO), Orlando, FL, September 18-23 (2005)
Rickel, J., Johnson, W.L.: Extending Virtual Humans to Support Team Training in Virtual Reality. In: Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann Publishers, San Francisco (2002)
Riedl, M.O., Stern, A.: Believable Agents and Intelligent Scenario Direction for Social and Cultural Leadership Training. In: Proceedings of the 15th Conference on Behavior Representation in Modeling and Simulation, Baltimore (2006)
Sycara, K., Lewis, M.: Integrating intelligent agents into human teams. In: Team Cognition: Understanding the Factors that Drive Process and Performance, pp. 203–232. American Psychological Association, Washington (2004)
Tambe, M.: Towards Flexible Teamwork. Journal of Artificial Intelligence Research, 83–124 (1997)
Traum, D., Rickel, J., Gratch, J., Marsella, S.: Negotiation over Tasks in Hybrid Human-Agent Teams for Simulation-Based Training. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent (2003)
Cognitive Models Group, TNO, http://cm.tm.tno.nl/index.php/en/virtual-team-member
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van Diggelen, J., Muller, T., van den Bosch, K. (2010). Using Artificial Team Members for Team Training in Virtual Environments. In: Allbeck, J., Badler, N., Bickmore, T., Pelachaud, C., Safonova, A. (eds) Intelligent Virtual Agents. IVA 2010. Lecture Notes in Computer Science(), vol 6356. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15892-6_3
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DOI: https://doi.org/10.1007/978-3-642-15892-6_3
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