Projekter pr. år
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.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Theoretical Issues in Ergonomics Science |
Vol/bind | 19 |
Udgave nummer | 2 |
Sider (fra-til) | 156-194 |
Antal sider | 39 |
ISSN | 1463-922X |
DOI | |
Status | Udgivet - 4 mar. 2018 |
Bibliografisk note
Publisher Copyright:© 2017 Informa UK Limited, trading as Taylor & Francis Group.
Fingeraftryk
Dyk ned i forskningsemnerne om 'Great expectations: a predictive processing account of automobile driving'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
-
QUADRAE: Quantitative Driver Behaviour Modelling for Active Safety Assessment Expansion
01/01/2016 → 31/12/2019
Projekter: Projekt › Forskning