Projects

In-Situ Monitoring of Driver Workload


Source Organization:UTC (and GM grant as matching)
University:
Principal Investigator:SeungJun Kim
PI Contact Information:Human-Computer Interaction Institute, NSH (Newell-Simon Hall) 2502, 5000 Forbes Ave., Pittsburgh, PA 15213 sjunikim@cs.cmu.edu 412-715-4950
Project Manager:
Funding Source(s) and Amounts Provided (by each agency or organization):$40,000 (awarded - UTC 2014 fund) and $30,000 or so (matching - GM grant, as of Nov. 2013)
Total Dollars:$70,000 or so (UTC 2014 fund + GM matching fund)
Agency ID/Contract/Grant Number:
Start and End Dates:
Project Status:Complete
Subject Categories:In-Vehicle Safety Technologies (a.2.5) - based on the proposal.
Abstract: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.

We plan 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), we will model the perceived value of that information and determine the cost of presenting that information.
Describe Implementation of Research Outcomes (or why not implemented):
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Project URL: