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Katherine L. Plant

Researcher at University of Southampton

Publications -  86
Citations -  1144

Katherine L. Plant is an academic researcher from University of Southampton. The author has contributed to research in topics: Poison control & Computer science. The author has an hindex of 14, co-authored 71 publications receiving 718 citations.

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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

TL;DR: 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.
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Why Did the Pilots Shut Down the Wrong Engine? Explaining Errors in Context Using Schema Theory and the Perceptual Cycle Model

TL;DR: The concept of Schema theory has been shown to describe the contextual causes of human error in the context of aviation research as discussed by the authors, with a focus on human activity in context to explain why apparently erroneous actions occurred, even though they may have appeared to be appropriate at the time.
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What’s the law got to do with it? Legislation regarding in-vehicle technology use and its impact on driver distraction

TL;DR: Legislation surrounding the use of in-vehicle technologies are explored in this paper from a socio-technical system perspective and shows how current legislation may have created the conditions necessary for driver distraction.
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The explanatory power of Schema Theory: theoretical foundations and future applications in Ergonomics.

TL;DR: It is concluded that Schema Theory has made a positive contribution to Ergonomics and with continued refinement of methods to infer and represent schemata it is likely that this trend will continue.
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What is on your mind? Using the perceptual cycle model and critical decision method to understand the decision-making process in the cockpit

TL;DR: The PCM, and the associated schema theory, is introduced as a framework to structure and explain data collected from the critical decision method and how influential schemata can be at informing decision-making.