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

被引:103
作者
Banks, Victoria A. [1 ]
Plant, Katherine L. [1 ]
Stanton, Neville A. [1 ]
机构
[1] Univ Southampton, Transportat Res Grp, Southampton, Hants, England
基金
英国工程与自然科学研究理事会;
关键词
Driving automation; Human error; Mental models; Perceptual cycle model; Schema theory; DISTRIBUTED SITUATION AWARENESS; DRIVING AUTOMATION; SAFETY IMPLICATIONS; DECISION-MAKING; BY-WIRE; INDIVIDUALS; SYSTEM; TRUST; ERGONOMICS; VIGILANCE;
D O I
10.1016/j.ssci.2017.12.023
中图分类号
T [工业技术];
学科分类号
08 ;
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.
引用
收藏
页码:278 / 285
页数:8
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