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Updated: Jan 25, 2026

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空中交通管制中的可解释的人工智能:专业知识对工作负载,接受和使用意图的影响

Giulia Cartocci1,2, Alexandre Veyrié3, Nicola Cavagnetto4

  • 1Departmental Faculty of Medicine and Surgery, Saint Camillus University of Health Sciences, 00131, Rome, Italy. giulia.cartocci@unicamillis.org.

Brain informatics
|January 24, 2026
PubMed
概括

可解释AI (XAI) 的视觉解释减少了认知工作量,并增加了空中交通管制官 (ATCO) 的AI采用率. 这种建立信任的方法对关键空中交通管理 (ATM) 系统的专家和学生ATCO都有好处.

关键词:
空中交通管制局的空中交通管制局.电脑电图 (电脑电图) 是一种脑电图.专业知识 专业知识 专业知识可解释的人工智能工作负载的工作负载.

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