Adaptive Function Allocation for Intelligent Cockpits.

作者: Jonathan Gluckman , John Deaton , Jeffrey Morrison

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摘要: Abstract : The demands associated with flying modern tactical, strategic and commercial aircraft have made the cockpit a prime arena for development of technology designed to aid human operators. ever more powerful computers, expert systems, artificial intelligence has led researchers system designers propose that decision making by aided dynamically using this technology. implementation may modify tasks normally performed pilots in any number ways, order facilitate best performance man machine systems. A series Cockpit Automation Studies are being as part Adaptive Function Allocation Intelligent Cockpits program. goal program is develop prospective set based principles guidelines application adaptive automation As first study research developed basic which concepts could later be applied. Derivatives two common laboratory were used: one task was pursuit tracking while other tactical assessment (TAT). Subject's response time accuracy measured on TAT root mean square errors obtained task. Simple complex function difficulty. results generally supported resource view performance.

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