Agent-based aiding for individual and team planning tasks
Agent-based aiding for individual and team planning tasks
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.
Lenox, Terri L.
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Payne, Terry R.
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Hahn, Susan
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Lewis, Michael
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Sycara, Katia
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2000
Lenox, Terri L.
afaa3190-e05a-49e3-944c-f1d4f407f3c6
Payne, Terry R.
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Hahn, Susan
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Lewis, Michael
f046ffc3-6d03-4a51-9c3d-fa8fa6a01473
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Lenox, Terri L., Payne, Terry R., Hahn, Susan, Lewis, Michael and Sycara, Katia
(2000)
Agent-based aiding for individual and team planning tasks.
IEA 2000/HFES 2000 Congress.
Record type:
Conference or Workshop Item
(Paper)
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.
Text
HFES2000.pdf
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Published date: 2000
Venue - Dates:
IEA 2000/HFES 2000 Congress, 2000-01-01
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 259171
URI: http://eprints.soton.ac.uk/id/eprint/259171
PURE UUID: b959b265-b490-4198-973d-c07d67791758
Catalogue record
Date deposited: 15 Mar 2004
Last modified: 14 Mar 2024 06:20
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Contributors
Author:
Terri L. Lenox
Author:
Terry R. Payne
Author:
Susan Hahn
Author:
Michael Lewis
Author:
Katia Sycara
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