Citation

Banks VA, Plant KL, Stanton NA. Safety Sci. 2018; 108: 278-285.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.ssci.2017.12.023

PMID

unavailable

Abstract

"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.

Language: en

Keywords

Driving automation; Human error; Mental models; Perceptual cycle model; Schema theory