Interactive sketching for the early stages of user interface design
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Simple cognitive modeling in a complex cognitive architecture
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictive human performance modeling made easy
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Specifying ACT-R models of user interaction with a GOMS language
Cognitive Systems Research
iPod distraction: effects of portable music-player use on driver performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Automating human-performance modeling at the millisecond level
Human-Computer Interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Rapid prototyping and evaluation of in-vehicle interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
Designing a direct manipulation HUD interface for in-vehicle infotainment
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Development of AHP model for telematics haptic interface evaluation
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
Support for modeling interaction with automotive user interfaces
Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Visual Demand Evaluation Methods for In-Vehicle Interfaces
International Journal of Mobile Human Computer Interaction
Affective and cognitive design for mass personalization: status and prospect
Journal of Intelligent Manufacturing
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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.