Computational modeling of age-differences in a visually demanding driving task: vehicle detection

The visual task of detecting an approaching vehicle was modeled with a neurophysiologically motivated computational vision model, the National Automotive Center-visual perception model (NAC-VPM). The scientific literature documenting age-related changes in early vision was reviewed in relationship t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on systems, man and cybernetics. Part A, Systems and humans man and cybernetics. Part A, Systems and humans, 2000-05, Vol.30 (3), p.336-346
Main Authors: Ellis, R.D., Meitzler, T.J., Witus, G., Sohn, E., Bryk, D., Goetz, R., Gerhart, G.R.
Format: Article
Language:English
Subjects:
Adults
Automobiles
Automotive components
Automotive engineering
Calibration
Computational modeling
Computer crashes
Layout
Mathematical models
Observers
Road safety
Road vehicles
Vehicle crash testing
Vehicle detection
Vehicle driving
Vision
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The visual task of detecting an approaching vehicle was modeled with a neurophysiologically motivated computational vision model, the National Automotive Center-visual perception model (NAC-VPM). The scientific literature documenting age-related changes in early vision was reviewed in relationship to the components of the NAC-VPM, and the model was fit to laboratory data from older observers. The model fit the older observers' data adequately, particularly when the data was partitioned into subsets based on viewing conditions. Model fits were compared to calibrations based on younger observers' data. The calibrations based on older observers were substantially different from calibrations based on younger observers, indicating that the model can capture age-related differences in visual perception. When calibrated to the older adults' data, the model successfully predicted conditions under which vehicle detection was particularly difficult for older adults.
ISSN:1083-4427
2168-2216
1558-2426
2168-2232
DOI:10.1109/3468.844357