Agent-based aiding for individual and team planning tasks

Terri L. Lenox, Terence Payne, Susan K. Hahn, , and Katia Sycara
14th Triennial Congress of the International Ergonomics Association/44th Annual Meeting of the Human Factors and Ergonomics Society, 2000.


Abstract
Intelligent aiding strategies were evaluated for a team planning task. The MokSAF interface agent links an Artificial Intelligence (AI) route planning agent to a Geographic Information System (GIS). Through this agent, the user specifies a start and an end point, and describes the composition and characteristics of a military platoon. Two aided conditions and one non-aided condition were examined. In the first aided condition, a route-planning agent determines a minimum cost path between the specified end points. The user is allowed to define additional "intangible" constraints that describe situational or social information. In the second aided condition the same knowledge of the terrain is used to plot the best route within bounds specified by the user. In the control condition the user draws a route without help. The reported study found across the board advantages for agent-based aiding when routes were merged in a team-planning task.

Notes
Sponsor: Office of Naval Research
Grant ID: N-00014-96-1-1222

Text Reference
Terri L. Lenox, Terence Payne, Susan K. Hahn, , and Katia Sycara, "Agent-based aiding for individual and team planning tasks," 14th Triennial Congress of the International Ergonomics Association/44th Annual Meeting of the Human Factors and Ergonomics Society, 2000.

BibTeX Reference
@inproceedings{Lenox_2000_3727,
   author = "Terri L. Lenox and Terence Payne and Susan K. Hahn and and Katia Sycara",
   title = "Agent-based aiding for individual and team planning tasks",
   booktitle = "14th Triennial Congress of the International Ergonomics Association/44th Annual Meeting of the Human Factors and Ergonomics Society",
   year = "2000",
}