Citation

Tuttle S, Cassavaugh ND, Backs RW. Proc. Int. Driv. Symp. Hum. Factors Driv. Assess. Train. Veh. Des. 2009; 5: 506-513.

Copyright

(Copyright © 2009, University of Iowa Public Policy Center)

DOI

unavailable

PMID

unavailable

Abstract

Groups of younger (n=49, M age = 21.7 years) and older (n=52, M age = 73.0 years) adults performed computer-based cognitive tests and simulated driving. Results from the cognitive tests were submitted to Principal Components Analysis (PCA) and 6 components were extracted that explained more than 77% of the variance. The components were labeled speed, divided, sustained, executive, selective/inhibition, and visual search in descending order of amount of variance explained. The component scores were used to predict simulated driving performance. Hierarchical step-wise regressions were computed with driving performance as the criterion, and age group (forced) and the component scores (step-wise) as predictors. Results showed that the speed and divided components were more likely to explain additional driving performance variance beyond age group than the other components.