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Modeling Drivers' Takeover Behavior Depending on the Criticality of Driving Situations and the Complexity of Secondary Tasks
In conditional driving automation, drivers can occasionally disengage from driving to undertake non-driving related tasks. However, when driving situations that can possibly not be managed by the automated system are encountered, situation awareness of drivers is required to avoid accidents. Recent...
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Main Authors: | , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | In conditional driving automation, drivers can occasionally disengage from driving to undertake non-driving related tasks. However, when driving situations that can possibly not be managed by the automated system are encountered, situation awareness of drivers is required to avoid accidents. Recent studies have revealed that surrounding traffic conditions, complexity of the driving scenario, secondary tasks, speed of ego vehicle, and takeover request experience affect takeover performance. However, neither the scope nor the variety of the dependencies of these variables to human cognitive abilities allowing also situation awareness is known in detail. This contribution discusses the dependencies between the reaction of humans (takeover time) and the complexity of the driving task (working task) and properties of the secondary task (non-driving-related task). The effect of the variables are systemically varied to generate different driving situations to better understand their scope and interaction. Afterwards, experimental results under different variable combinations are discussed. An initial formulation is established to describe the effects. |
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ISSN: | 2379-1675 |
DOI: | 10.1109/COGSIMA.2019.8724304 |