Open Access
Human factors of driver-vehicle interaction in the ivhs environment
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The article was published on 1991-01-01 and is currently open access. It has received 10 citations till now. The article focuses on the topics: Advanced driver assistance systems & Intelligent transportation system.read more
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Simulated Car Crashes and Crash Predictors in Drivers With Alzheimer Disease
TL;DR: High-fidelity driving simulation provides a unique new source of performance parameters to standardize the assessment of driver fitness and provide unbiased evidence to aid in the difficult clinical decision of whether older or medically impaired individuals should continue to drive.
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Teleoperation, Telerobotics, and Telepresence: A Progress Report
TL;DR: In this article, the authors briefly survey and report progress in the field of teleoperation, meaning human control of remote sensors and actuators, which is referred to as teleoperation called telerobotics.
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A model for notification systems evaluation—assessing user goals for multitasking activity
TL;DR: A design model of user goals based on blends of three critical parameters---interruption, reaction, and comprehension is introduced and explained why using the design model categorization scheme enabled us to generate evaluation results that are more relevant for the system redesign than the results of the original exploration done by the system's designers.
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Establishing tradeoffs that leverage attention for utility: empirically evaluating information display in notification systems
TL;DR: This work proposes a unifying research theme for the field that defines success in notification systems design as achieving the desirable balance between attention and utility, and distinguishes notification systems research from traditional HCI by centering on the limitations of the human attention system.
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On-line driver workload estimation. Effects of road situation and age on secondary task measures
TL;DR: Two experiments investigated potential determinants of driver visual and mental workload as indicated by performance on two secondary tasks and showed that the categorization of road situations could underlie adaptation of visually loading messages to the workload incurred by driving.