Douglas Getty
University of Utah
10 Papers
7 Citations
Douglas Getty is an academic researcher from University of Utah. The author has contributed to research in topics: Workload & Cognition. The author has an hindex of 5, co-authored 9 publications. Previous affiliations of Douglas Getty include University of Pittsburgh.
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Papers
Assessing the visual and cognitive demands of in-vehicle information systems
David L. Strayer,Joel M. Cooper,Rachel M. Goethe,Madeleine M. McCarty,Douglas Getty,Francesco Biondi +5 more
TL;DR: This objective assessment suggests that many of these IVIS features are too distracting to be enabled while the vehicle is in motion, and greater consideration should be given to what interactions should be available to the driver when the vehicle was in motion.
The Challenge of Advanced Driver Assistance Systems Assessment: A Scale for the Assessment of the Human–Machine Interface of Advanced Driver Assistance Technology
Francesco Biondi,Douglas Getty,Madeleine M. McCarty,Rachel M. Goethe,Joel M. Cooper,David L. Strayer +5 more
TL;DR: The development of a scale for assessing the human–machine interfaces of 10 different assistance systems is detailed, developed through multiple iterations, and required at least two evaluators to rate each system against specific assessment items using the following 4-point scale.
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The Effects of Voice System Design Components on Driver Workload
TL;DR: This study investigates the role of system delay, system accuracy, and menu depth in determining the overall level of demand and interaction times on eight different 2017 model-year vehicles and finds system delay and system accuracy to be significant predictors of task time and subjective measures of workload from the NASA Task Load Index and the Driving Activity Load Index.
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Examining the effect of infotainment auditory-vocal systems’ design components on workload and usability
TL;DR: Total delay time and menu depth were found to be significant predictors of task duration time and mental workload, and had a direct effect on lower usability ratings, measured by the System Usability Scale and sentiment analysis.
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