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| Driver Interface Group Home | ||
| Human Factors Courses | ||
| Publications & Projects | ||
| List of Our Publications | ||
| List of Our Projects | ||
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| Telematics Guidelines | ||
| Driver Distraction Links | ||
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| Simulators | ||
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| Page updated August 20, 2008 | ||
Recent and Ongoing Projects |
| Project Title (Sponsor) | Description |
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Demonstration and evaluation of technologies for SAfety VEhicle(s) using adaptive Interface Technology (SAVE-IT). ( Delphi Delco Electronic Systems & U.S. Department of Transportation) | Complete literature reviews, conduct driving simulator experiment, conduct on the road experiments to assess the distraction of various tasks, assess the visual demand of roads, and determine the sensitivity of various measures of the workload.
This information will be used to build a workload manager. |
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InfoMan Project: Phase II (Nissan) | Assist Nissan in the development of a workload (information) manager for telematics, includes on-road study of a prototype and simulator validation experiment. |
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HUDs and Dialing (Nissan) | Compare entry times for phone numbers using a wide variety of input devices (keypads, joysticks. touchscreens, etc) both while parked and driving a simulator. |
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Road Departure Warning System (U.S. Department of Transportation)-partner in large project with Visteon and others | Conduct several driving simulator experiments on use of warning tones, icons, and haptic feedback (vibrating seat)to warn of lane departure and excessive curve approach speed. |
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How People Use Cell Phones (Driving Interface Affiliation Program; Motorola is first member) (Motorola) | What constitutes a typical cell phone call while driving? Collect detailed data from 20-50 people on cell phone use (e.g., duration and time of each call, if driving-road type, information on call topic, quality of communication link, other parties in call, etc.) along with summary statistics on phone use. |
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Human Factors Influence on Night Vision (or Intelligent Vehicle) Augmentation for Army Tactical Wheeled Vehicles. (US Army) | Analyze existing sensors, sensor fusion, and displays to provide path and terrain information during blackout driving conditions using past human factors research as a guide as well as the impact of in-vehicle distractions on performance while driving under blackout conditions. |
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Eye Fixation Equipment (AAMA) | Acquire a SeeingMachines FaceLab eye fixation system and integrate it with the UMTRI Driving Simulator and an instrumented vehicle. |
(See also the project list on the UMTRI web site.) |