Engstrom, J, Markkula, G orcid.org/0000-0003-0244-1582 and Merat, N orcid.org/0000-0003-4140-9948 (2017) Modelling the effect of cognitive load on driver reactions to a braking lead vehicle: A computational account of the cognitive control hypothesis. In: Proceedings of the Fifth International Conference on Driver Distraction and Inattention, Paris. 5th International Conference on Driver Distraction and Inattention, 20-22 Mar 2017, Paris, France.
Abstract
The recently proposed cognitive control hypothesis suggests that the performance of cognitively loading but non-visual tasks such as cell phone conversation selectively impairs driving tasks that rely on top-down cognitive control while leaving automatized driving tasks unaffected. This idea is strongly supported by the existing experimental literature and we have previously outlined a conceptual model to account for the key underlying mechanisms. The present paper offers a more explicit account of these mechanisms in terms of a computational simulation model. More specifically, it is shown how this model offers a straightforward mechanistic explanation for why the effect of cognitive load on brake response time reported in experimental lead vehicle braking studies appears to depend strongly on scenario kinematics, more specifically the initial time headway. Moreover, it is shown that this relatively simple model can be fitted to empirical data obtained from a meta-analysis of existing lead vehicle braking studies.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This is an author produced version of a paper accepted for publication in Proceedings of the Fifth International Conference on Driver Distraction and Inattention, Paris. |
Keywords: | Cognitive load; Driver Distraction |
Dates: |
|
Institution: | The University of Leeds |
Funding Information: | Funder Grant number EPSRC EP/J002933/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Feb 2017 16:43 |
Last Modified: | 21 May 2018 16:13 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112106 |