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Human Trust-Based Feedback Control: Dynamically Varying Automation Transparency to Optimize Human-Machine Interactions
IEEE Control Systems ( IF 5.7 ) Pub Date : 2020-11-16 , DOI: 10.1109/mcs.2020.3019151
Kumar Akash , Griffon McMahon , Tahira Reid , Neera Jain

Aomation has become prevalent in the everyday lives of humans. However, despite significant technological advancements, human supervision and intervention are still necessary in almost all sectors of automation, ranging from manufacturing and transportation to disaster management and health care [1]. Therefore, it is expected that the future will be built around human?agent collectives [2] that will require efficient and successful interaction and coordination between humans and machines. It is well established that, to achieve this coordination, human trust in automation plays a central role [3]-[5]. For example, the benefits of automation are lost when humans override it due to a fundamental lack of trust [3], [5], and accidents may occur due to human mistrust in such systems [6]. Therefore, trust should be appropriately calibrated to avoid the disuse or misuse of automation [4].

中文翻译:

基于人类信任的反馈控制:动态改变自动化透明度以优化人机交互

喜气已在人类的日常生活中盛行。然而,尽管技术取得了重大进步,但从制造和运输到灾难管理和医疗保健的几乎所有自动化领域,仍然需要人工监督和干预[1]。因此,预计未来将围绕人类代理集体[2]建立,这将需要人与机器之间进行有效且成功的交互与协调。众所周知,为了实现这种协调,人类对自动化的信任起着核心作用[3]-[5]。例如,当人们由于根本缺乏信任而忽略自动化时,其好处就会丧失[3],[5],并且由于人们对此类系统的不信任而可能发生事故[6]。因此,
更新日期:2020-11-17
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