A method for evaluating head-controlled computer input devices using Fitts law
Human Factors - Assisting people with functional impairments
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Modeling human performance using the queuing network-model human processor (qn-mhp)
Modeling human performance using the queuing network-model human processor (qn-mhp)
Queuing Network Modeling of Driver Workload and Performance
IEEE Transactions on Intelligent Transportation Systems
Predicting the effects of cellular-phone dialing on driver performance
Cognitive Systems Research
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Researchers have a deal of attention to the effects on driver performance when driving with assist systems. This article describes modeling approach to simulate the effects of time-gaps for adaptive cruise control (ACC) on bus driver's performance. A concept model was built with the knowledge of modularization, parameterization, and parallel processing. By running the model, the predictions for the effects of five levels of time-gaps were collected in two measures, mean gap and minimum gap. Predictions from the model were validated by the experiment with a verified fix-based bus driving simulator in authors' previous studies. Through the modeling approach, this research provides a theoretical and accurate way to assess effects of time-gaps. To apply this approach to the evaluation on other driving assist systems (e.g. collision warning systems & navigation systems) is the next topic for authors to work on.