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 automatised driving tasks unaffected. This idea is strongly supported by the existing experimental literature and the authors have previously outlined a conceptual model to account for the key underlying mechanisms. The present paper presents a mechanistically explicit account of the cognitive control hypothesis in terms of a computational simulation model. More specifically, it is shown how this model offers a straightforward explanation for why the effect of cognitive load on brake response time reported in the experimental lead vehicle (LV) braking studies depends strongly on scenario kinematics, more specifically the initial time headway. It is demonstrated that this relatively simple model can be fitted to empirical data obtained from an existing meta-analysis on existing LV braking studies.
Simulating the effect of cognitive load on braking responses in lead vehicle braking scenarios
IET Intelligent Transport Systems ; 12 , 6 ; 427-433
2018-04-06
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
human factors , automatised driving tasks , lead vehicle braking scenarios , cognitive loading performance , cognitive load effect , LV braking , meta-analysis , braking , computational simulation model , cell phone conversation , brake response time , initial time headway , braking responses , conceptual model , cognitive control hypothesis , vehicles , cognition , scenario kinematics
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