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Communications for Agent-Based Human Team Support

Communications for Agent-Based Human Team Support

Gita Sukthankar, Katia Sycara, Joseph A. Giampapa, Christopher Burnett
Copyright: © 2009 |Pages: 29
ISBN13: 9781605662565|ISBN10: 1605662569|EISBN13: 9781605662572
DOI: 10.4018/978-1-60566-256-5.ch012
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MLA

Sukthankar, Gita, et al. "Communications for Agent-Based Human Team Support." Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models, edited by Virginia Dignum, IGI Global, 2009, pp. 285-313. https://doi.org/10.4018/978-1-60566-256-5.ch012

APA

Sukthankar, G., Sycara, K., Giampapa, J. A., & Burnett, C. (2009). Communications for Agent-Based Human Team Support. In V. Dignum (Ed.), Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models (pp. 285-313). IGI Global. https://doi.org/10.4018/978-1-60566-256-5.ch012

Chicago

Sukthankar, Gita, et al. "Communications for Agent-Based Human Team Support." In Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models, edited by Virginia Dignum, 285-313. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-256-5.ch012

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Abstract

This chapter discusses the problem of agent aiding of ad-hoc, decentralized human teams so as to improve team performance on time-stressed group tasks. To see how human teams rise to the challenge, we analyze the communication patterns of teams performing a collaborative search task that recreates some of the cognitive difficulties faced by teams during search and rescue operations. Our experiments show that the communication patterns of successful decentralized ad-hoc teams performing a version of the task that requires tight coordination differ both from the teams that are less successful at task completion and from teams performing a loosely coupled version of the same task. We conclude by discussing: (1) what lessons can be derived, from observing humans, to facilitate the development of agents to support ad-hoc, decentralized teams, and (2) where can intelligent agents be inserted into human teams to improve the humans’ performance.

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