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General

Visual Distraction

The objective of Task 7 was to investigate how visual distraction impacts driving performance.

Algorithms to Assess Cognitive Distraction

The objective of Task 5 (Cognitive Distraction) is to develop an algorithm that uses driver state information to predict decrements in driving performance due to cognitive distraction.

 

Distraction Mitigation Evaluation

The objective of Task 4 (Distraction Mitigation) is to develop countermeasures that mitigate distraction in a way that drivers find acceptable.

Driving Performance

The objective of Task 3c (Performance) is to infer from driving performance in real time when the driver appears to be distracted, and then regulate secondary tasks (by locking them out, warning the driver, etc.) based on that information.

Driving Task Demand

The objectives of Task 2c (develop and validate equations) were to determine (1) how various vehicle parameters that are measurable by technologies in the SAVE-IT program can be combined to predict drivers’ subjective ratings of driving task demand (especially as a function of road geometry and...

Results of the SAVE-IT Program

This presentation provides a summary of the results of the SAVE-IT program. It was delivered during the “Human Factors at the Interface Session,” G19, at the 2008 SAE Government/Industry Meeting in Washington, D.C., on May 13, 2008.

Safety Vehicle Using Adaptive Interface Technology (SAVE-IT)

NHTSA seeks to develop a test vehicle incorporating adaptive interface technology to help it understand the safety benefits such a system might achieve and the requirements necessary to achieve such benefits. The development of such a vehicle will also spur ongoing industry efforts and create a...