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Distract-R

Dario D. Salvucci · Mark Zuber · Ekaterina Beregovaia · Daniel Markley

103 citations0/0 files storedCHI Conference on Human Factors in Computing Systems

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Human-Automation Interaction and Safety Interactive and Immersive Displays Personal Information Management and User Behavior

Abstract

As driver distraction from in-vehicle devices increasingly becomes a concern on our roadways, researchers have searched for better scientific understanding of distraction along with better engineering tools to build less distracting devices. This paper presents a new system, Distract-R, that allows designers to rapidly prototype and evaluate new in-vehicle interfaces. The core engine of the system relies on a rigorous cognitive model of driver performance, which the system integrates with models of behavior on the prototyped interfaces to generate predictions of distraction. Distract-R allows a designer to prototype basic interfaces, demonstrate possible tasks on these interfaces, specify relevant driver characteristics and driving scenarios, and finally simulate, visualize, and analyze the resulting behavior as generated by the cognitive model. The paper includes two sample studies that demonstrate the system's ability to account for effects of input modality and driver age on performance.

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References

2014The Atomic Components of Thought 1999The Atomic Components of Thought 2006Modeling Driver Behavior in a Cognitive Architecture 1999Comparison of driving performance on-road and in a low-cost simulator using a concurrent telephone dialling task 2001Predicting the effects of in-car interface use on driver performance: an integrated model approach

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2008Looks Are (Almost) Everything: Where Drivers Look to Get Information 2009Focus on driving 2007iPod distraction 2009Rapid prototyping and evaluation of in-vehicle interfaces 2008Effects of Memory Rehearsal on Driver Performance: Experiment and Theoretical Account 2007An extended keystroke level model (KLM) for predicting the visual demand of in-vehicle information systems

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