A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance
A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance
批准号:
DP0666772
负责人:
Prof Roger Remington
金额:
$63.79万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2006
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2006-10-01 至 2011-09-30
中文摘要
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英文摘要
Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critical applications, such as military or air traffic control systems, would benefit greatly. The proposed work tests whether the compositional methods will scale to more complex domains. The work will be coordinated with Australian industry, academia, and government research efforts.
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Do rewarded features automatically capture attention?
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批准号:DP130101001
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项目类别:Discovery Projects
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资助金额:$13.0万
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财政年份:2013
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负责人:Prof Roger Remington
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依托单位:
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财政年份:2012
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负责人:Prof Roger Remington
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依托单位:
国内基金
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