modeling driver performance with in-vehicle information

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What if different interfaces are used to perform the same task? Modeling Driver Performance With In-Vehicle Information Systems Human behavior modeling allows device designers to quickly evaluate design ideas, producing estimates of performance such as task time, errors, and attention switching. Our system allows designers to easily mock up devices, demonstrate tasks, and construct models automatically from those demonstrations. These device models are then integrated with a model of driving to produce predictions relevant to the design of in-vehicle systems. Using our special extension to Macromedia Dreamweaver, the designer mocks up the information system interface as an HTML storyboard. Alternatively, existing HTML storyboards can be instrumented with a single command. The designer demonstrates tasks in a web browser. The Behavior Recorder software records the sequence of actions performed and creates a state graph to represent the task. The Behavior Recorder exports the task description into a format that automatically compiles into a model in the ACT-R cognitive architecture. The cognitive architecture runs the task concurrently with a model of driving. The designer can watch the modelʼs driving performance as it executes the task. Detailed performance predictions are generated, including time to complete the task and deviation from the center of the lane. Bonnie E. John Konstantine Prevas Associate Professor Research Programmer Human-Computer Interaction Institute in collaboration with Richard A. Young Linda S. Angell H/HF, Safety Center GM Engineering Jonathan M. Hankey Virginia Tech Transportation Institute Dario Salvucci Drexel University Salvucci, IJHCS 2001 What if people switch between driving and secondary tasks in different ways? Lateral Deviation from Center of Lane with Different Cell Phone Interfaces Task Time and Lateral Deviation from Center of Road While Performing a Secondary Task Reflecting Different Self-Interruption Strategies Future work will involve validating the models with data provided by the Virginia Tech Transportation Institute.

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Page 1: Modeling Driver Performance With In-Vehicle Information

What if diff erent interfaces are used to performthe same task?

Modeling Driver PerformanceWith In-Vehicle Information Systems

Human behavior modeling allows device designers to quickly evaluate design ideas, producing estimates of performance such as task time, errors, and attention switching. Our system allows designers to easily mock up devices, demonstrate tasks, and construct models automatically from those demonstrations. These device models are then integrated with a model of driving to produce predictions

relevant to the design of in-vehicle systems.

Using our special extension to Macromedia Dreamweaver, the designer mocks up the information system interface as an HTML storyboard. Alternatively, existing HTML storyboards can be instrumented with a single command.

The designer demonstrates tasks in a web browser. The Behavior Recorder software records the sequence of actions

performed and creates a state graph to represent the task.

The Behavior Recorder exports the task description into a format that automatically

compiles into a model in the ACT-R cognitive architecture.

The cognitive architecture runs the task concurrently with a model of driving. The designer can watch the modelʼs driving performance as it executes the task. Detailed performance predictions are generated, including time to complete the task and deviation from

the center of the lane.

Bonnie E. John Konstantine PrevasAssociate Professor Research Programmer

Human-Computer Interaction Institutein collaboration with

Richard A. Young Linda S. AngellH/HF, Safety Center

GM Engineering

Jonathan M. HankeyVirginia Tech

Transportation Institute

Dario SalvucciDrexel University

Salvucci, IJHCS 2001

What if people switch between driving and

secondary tasksin diff erent ways?

Lateral Deviation from Center of Lane with Diff erent Cell Phone Interfaces Task Time and Lateral Deviation from Center

of Road While Performing a Secondary Task Refl ecting Diff erent Self-Interruption Strategies

Future work will involve validating the models with data provided by the Virginia Tech Transportation Institute.