DocumentCode :
3144859
Title :
A Research of Cognitive Models for CGF in Tank Member
Author :
Xue, Qing ; Wei, Yang ; Tang, Zhiwu ; Zhang, Guohui
Author_Institution :
Armored Force Eng. Acad., Beijing, China
fYear :
2009
fDate :
1-3 June 2009
Firstpage :
9
Lastpage :
14
Abstract :
As we know in land battle tank member must perform many diverse tasks in their missions: navigation, system control, enemy engagement, and communication. As human capabilities are limited, the members will find themselves in situations where task load and other factors raise their mental burden severely. In turn, such stress has documented effects on quantitative and qualitative changes in task performance that could lead to mission failure. This paper describes the process of simulating tank member in a mission where mental burden is a key factor to the outcome of performance. Mental burden is represented as a behaviors moderator, which can be manipulated to demonstrate and predict behavioral effects. The cognitive models of the tank member are implemented as agents, interacting with tanks in a simulated battlefield. With high empirical validity as a main objective, the data acquired for the model was collected from experiments with tank member, including observations and task analyses. Afterwards, the simulation was verified with two subject matter experts.
Keywords :
cognition; military computing; military vehicles; software agents; tracked vehicles; agent system; behavioral effect prediction; behaviors moderator; cognitive model; land battle tank member; mental burden; mission failure; tank member simulation; task performance analysis; Communication system control; Computational modeling; Computer simulation; Control system synthesis; Force control; Human factors; Information science; Military computing; Navigation; Vehicles; land battle; simulator; tank member;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3641-5
Type :
conf
DOI :
10.1109/ICIS.2009.177
Filename :
5223153
Link To Document :
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