In-Situ Monitoring of Driver Workload

The project goal is to reduce the cost to a driver's attention and cognitive workload by maintaining a balance between a driver's situational awareness and in-situ capability behind the wheel. When humans are overloaded, humans suffer from a lack of situation awareness, causing unsafe situations while driving. Adaptive information systems support users' in-situ decision-making, especially in situations of high uncertainty. The project plans to develop a model that determines which information to convey to drivers in an attention-risk situation, and then assess the model based driver/driving states. When context-sensitive information is presented (e.g., navigation information and ads), the project will model the perceived value of that information and determine the cost of presenting that information.

    Language

    • English

    Project

    • Status: Active
    • Funding: $70000.00
    • Contract Numbers:

      DTRT12GUTG11

    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590

      General Motors Corporation

      3044 West Grand Boulevard
      Detroit, MI  United States  48202

      Technologies for Safe and Efficient Transportation University Transportation Center

      Carnegie Mellon University
      Pittsburgh, PA  United States  15213

      Carnegie Mellon University

      Pittsburgh, PA  United States 
    • Project Managers:

      Ehrlichman, Courtney

    • Principal Investigators:

      Kim, SeungJun

    • Start Date: 20140131
    • Expected Completion Date: 0
    • Actual Completion Date: 20141231
    • Source Data: RiP Project 36202

    Subject/Index Terms

    Filing Info

    • Accession Number: 01517374
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Contract Numbers: DTRT12GUTG11
    • Files: UTC, RiP
    • Created Date: Mar 7 2014 1:00AM