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Driver error or designer error: Using the Perceptual Cycle Model to explore the circumstances surrounding the fatal Tesla crash on 7th May 2016

机译:驱动程序错误或设计器错误:使用感知周期模型探索2016年5月7日致命的Tesla崩溃的情况

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摘要

“Human error” is often implicated as a causal factor in accident investigation yet very little is done to understand ‘why’ such errors occur in the first place. This paper uses the principles of Schema Theory and the Perceptual Cycle Model (PCM) to further explore the circumstances surrounding the fatal Tesla crash in May 2016 in which the driver was fatally injured using team-PCM representations. The preliminary National Highway Traffic Safety Administration accident investigation concluded that the driver of the Tesla Model S was at fault. However, the analysis presented in this paper argues that rather than “driver error”, the underlying cause of this tragic incident could be in fact more akin to a “designer error” implicating the design of the Autopilot feature itself. This is in line with the National Transportation Safety Boards more recent announcement that suggests systems design may have contributed to the crash. It would therefore appear that the drivers expectation of system functionality may not have matched the real life capabilities of the system. This is likely to be a product of inappropriate mental models relating to system function.
机译:“人为错误”通常被牵连作为事故调查中的因果因素,但很少是为了理解“为什么”这样的错误发生。本文采用了架构理论和感知周期模型(PCM)的原则,以进一步探索2016年5月致命的Tesla崩溃的情况,其中驾驶员使用团队-CCM表示致命地受伤。初步国家公路交通安全管理局事故调查得出结论,Tesla模型S的驾驶员处于错误状态。然而,本文中提出的分析认为,而不是“驱动程序错误”,这种悲惨事件的潜在原因可能更重要地暗示了“设计者错误”,这意味着自动驾驶仪特征本身的设计。这符合国家运输安全委员会更新的宣布,建议系统设计可能导致崩溃。因此,似乎驱动程序对系统功能的期望可能没有匹配系统的实际生命能力。这可能是与系统功能有关的不适当心理模型的产品。

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