Great expectations: a predictive processing account of automobile driving

Johan Engström*, Jonas Bärgman, Daniel Nilsson, Bobbie Seppelt, Gustav Markkula, Giulio Bianchi Piccinini, Trent Victor

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

48 Citationer (Scopus)

Abstract

Predictive processing has been proposed as a unifying framework for understanding brain function, suggesting that cognition and behaviour can be fundamentally understood based on the single principle of prediction error minimisation. According to predictive processing, the brain is a statistical organ that continuously attempts get a grip on states in the world by predicting how these states cause sensory input and minimising the deviations between the predicted and actual input. While these ideas have had a strong influence in neuroscience and cognitive science, they have so far not been adopted in applied human factors research. The present paper represents a first attempt to do so, exploring how predictive processing concepts can be used to understand automobile driving. It is shown how a framework based on predictive processing may provide a novel perspective on a range of driving phenomena and offer a unifying framework for traditionally disparate human factors models.

OriginalsprogEngelsk
TidsskriftTheoretical Issues in Ergonomics Science
Vol/bind19
Udgave nummer2
Sider (fra-til)156-194
Antal sider39
ISSN1463-922X
DOI
StatusUdgivet - 4 mar. 2018

Bibliografisk note

Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.

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