Agent-Based Team Aiding in a Time Critical Task
Agent-Based Team Aiding in a Time Critical Task
In this paper we evaluate the effectiveness of agent-based aiding in support of a time-critical team-planning task for teams of both humans and heterogeneous software agents. The team task consists of human subjects playing the role of military commanders and cooperatively planning to move their respective units to a common rendezvous point, given time and resource constraints. The objective of the experiment was to compare the effectiveness of agent-based aiding for individual and team tasks as opposed to the baseline condition of manual route planning. There were two experimental conditions: the Aided condition, where a Route Planning Agent (RPA) finds a least cost plan between the start and rendezvous points for a given composition of force units; and the Baseline condition, where the commanders determine initial routes manually, and receive basic feedback about the route. We demonstrate that the Aided condition provides significantly better assistance for individual route planning and team-based re-planning.
Payne, Terry R.
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Lenox, Terri L.
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Hahn, Susan
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Lewis, Michael
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Sycara, Katia
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2000
Payne, Terry R.
0bb13d45-2735-45a3-b72c-472fddbd0bb4
Lenox, Terri L.
afaa3190-e05a-49e3-944c-f1d4f407f3c6
Hahn, Susan
565d8016-cdb8-43d7-89d9-390367ca0b64
Lewis, Michael
f046ffc3-6d03-4a51-9c3d-fa8fa6a01473
Sycara, Katia
df200c43-d34d-4093-bb4e-493fea2d0732
Payne, Terry R., Lenox, Terri L., Hahn, Susan, Lewis, Michael and Sycara, Katia
(2000)
Agent-Based Team Aiding in a Time Critical Task.
HICSS - Hawai'i International Conference on System Sciences.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper we evaluate the effectiveness of agent-based aiding in support of a time-critical team-planning task for teams of both humans and heterogeneous software agents. The team task consists of human subjects playing the role of military commanders and cooperatively planning to move their respective units to a common rendezvous point, given time and resource constraints. The objective of the experiment was to compare the effectiveness of agent-based aiding for individual and team tasks as opposed to the baseline condition of manual route planning. There were two experimental conditions: the Aided condition, where a Route Planning Agent (RPA) finds a least cost plan between the start and rendezvous points for a given composition of force units; and the Baseline condition, where the commanders determine initial routes manually, and receive basic feedback about the route. We demonstrate that the Aided condition provides significantly better assistance for individual route planning and team-based re-planning.
More information
Published date: 2000
Venue - Dates:
HICSS - Hawai'i International Conference on System Sciences, 2000-01-01
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 262787
URI: http://eprints.soton.ac.uk/id/eprint/262787
PURE UUID: 094c4334-6081-484d-8f7e-3acb955de043
Catalogue record
Date deposited: 04 Jul 2006
Last modified: 14 Mar 2024 07:18
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Contributors
Author:
Terry R. Payne
Author:
Terri L. Lenox
Author:
Susan Hahn
Author:
Michael Lewis
Author:
Katia Sycara
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