Date of Award
Electrical and Computer Engineering
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Automotive manufacturers are increasingly adopting the use of automated driving systems (ADS) to help ease the workload of drivers and to improve road safety. The society of automotive engineers (SAE) defines six levels of automation, from level-0 to level-5, for on-road automotive vehicles where level-0 refers to no driving automation and level-5 refers to full driving automation. In ADS, drivers interact with the automation features by using and depleting their attentional capacity called cognitive capacity. This prompted active research in the recent past to understand the effect of partial automation on driver's performance and road safety. The present thesis utilizes data collected in a recent study that analyzed the drivers' cognitive load during partial automation, specifically during level-0 and level-2 levels. In this study, participants drove vehicles equipped with partial automation features in routes of varying topography. Further, the presented thesis also investigates temporal variation in cognitive load to study the changes in drivers' cognitive load with changing topography. The findings reported in this thesis highlight an increase in drivers' cognitive load over time, emphasizing the importance of considering temporal dimensions in cognitive performance studies.
Mahmoodzadeh, Mobina, "Temporal Analysis of Driver Response Time and Physiological Performance Measures During Partial Automation and Manual Driving Modes" (2024). Electronic Theses and Dissertations. 9160.
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