2018
DOI: 10.1049/iet-its.2017.0233
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Simulating the effect of cognitive load on braking responses in lead vehicle braking scenarios

Abstract: Abstract:The recently proposed cognitive control hypothesis suggests that the performance of cognitively loading but nonvisual 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 presents a mechanistically explicit a… Show more

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Cited by 10 publications
(12 citation statements)
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References 42 publications
(100 reference statements)
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“…Importantly, evidence accumulation models capture the phenomena of the kinematics dependence of takeover time and the variability of response times increasing with average response times, as observed both in manual and automated driving (Markkula, Engström, et al, 2016; Zhang et al, 2018). Evidence accumulation models have been extended to include the effects of cognitive distraction (Engström, Markkula, Xue, & Merat, 2018). In the extended model, cognitive load slows the evidence accumulation process, leading to prolonged reaction times.…”
Section: Models Of Driver Behavior In Automated Vehicle Takeoversmentioning
confidence: 99%
“…Importantly, evidence accumulation models capture the phenomena of the kinematics dependence of takeover time and the variability of response times increasing with average response times, as observed both in manual and automated driving (Markkula, Engström, et al, 2016; Zhang et al, 2018). Evidence accumulation models have been extended to include the effects of cognitive distraction (Engström, Markkula, Xue, & Merat, 2018). In the extended model, cognitive load slows the evidence accumulation process, leading to prolonged reaction times.…”
Section: Models Of Driver Behavior In Automated Vehicle Takeoversmentioning
confidence: 99%
“…erefore, only 84 recordings were included for the first braking scenario and 132 recordings were kept for the second braking scenario. As a follow-up study of Engström et al [33], recordings within each drive were sorted into nine groups regarding their initial time headways (ITHWs). Drivers' mean brake response times (BRTs) within each ITHW group were calculated as the observations to fit the accumulator model.…”
Section: Data For Modelmentioning
confidence: 99%
“…However, why does this effect depend on initial time headway and how drivers perceive time headway information and use it to determine when to apply braking were still not clear. To further explain the key underlying mechanisms, Engström et al [33] outlined a mechanistic model with the data from the meta-analysis. Visual looming, which is produced by the sudden braked lead vehicle moving towards the subject was adopted in this model to measure situation criticality.…”
Section: Introductionmentioning
confidence: 99%
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