Sponsor
Project Title |
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| General Motors
Development and Testing of Scenarios for the GM DriveSafety Simulator
| This project will develop and validate a series of software
libraries for the GM DriveSafety simulator GM can use for routine tests
of the ease of use of driver interfaces (e.g., climate control) and the
effectiveness of warning systems. The goal is to accelerate human factors
tests at GM by providing allowing for the rapid development of test scenarios
that can be used for experiments. The experimenter will have a point and
click interface that will allow them to specify the behavior of nearby
vehicles and other characteristics, changing scenario development from
1-2 months of writing TCL code to a task that can be easily completed
in a week, and sometimes in a few days.
This initial effort will focus on the development of scenarios for expressway
driving and urban driving. In addition, a mini-scenario will be developed
that will be similar to the black lake handling course at the Milford
Proving Grounds. The mini-scenario should be useful for calibrating the
driving simulator.
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| US Department of Transportation
Integrated Vehicle-Based Safety Systems (IVBSS)
| IVBSS combines forward collision warning, lane departure
warning, curve speed warning, and lane change/merge warning into a single
integrated warning system. This project consists of 2 phases, with the first
phase (in which the driver interface group was involved) lasting 2 years
and involving 4 major simulator experiments and several small ones. Those
experiments considered (1) if warnings should be combined (for example all
forward warnings to the same sound), (2) what the timing of warnings in
succession be (for example if they should overlap or the second should be
delayed), (3) how warning delay and accuracy trade off, (4) the timing between
sounds for warnings that involve repetition (such as the simulated rumble
strip), and other issues. The results of these experiments influence the
design of a warning system now begin evaluated in a major on-the-road experiment.
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| Nissan
Human Factors and Speech Interfaces
| The purpose of this project is to aid the development and
evaluation of speech interfaces for navigation destination entry and music
selection. The end result was a Monte-Carlo simulation of tasks associated
with those systems. To populate those models, data were collected on entry
methods used, errors and their probabilities, and task times.
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| US Department of Transportation
Demonstration and Evaluation of Technologies for SAfety VEhicle(s) using
adaptive Interface Technology (SAVE-IT)
| The purpose of the project was to examine distraction-related
crashes and to explore a variety of means related to the driver interface
that might reduce them. In the first phase, literature reviews were conducted
as well as both simulator and on-the-road experiments to assess workload
in a variety of situations.
In the second phase, the Advanced Collision Avoidance System (ACAS) data
was examined to determine the frequency of various visual, auditory, cognitive,
and psychomotor demands of secondary tasks. In addition, using a rating
method, the subjective workload of a wide variety of driving situations
was assessed, and an equation was developed to reliably compute workload
from in-vehicle sensors in real time.
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| Nissan
Human Factors of Intersection Warnings
| The purpose of this project is to help Nissan develop and
test a driver interface to inform and subsequently warn drivers when they
might be at risk of passing through an intersection improperly. Both a literature
review and a driving simulator experiment were conducted.
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