Citation

Angell L, Seaman S, Payyanadan R, Biever W. Proc. Int. Driv. Symp. Hum. Factors Driv. Assess. Train. Veh. Des. 2019; 2019: 1-7.

Copyright

(Copyright © 2019, University of Iowa Public Policy Center)

DOI

unavailable

PMID

unavailable

Abstract

It is becoming increasingly important to understand how drivers strategically manage tasks and thread attention across time, as they drive through varying situations and conditions -- and as they
have the opportunity to delegate tasks to vehicle automation while taking up other tasks themselves. To develop an understanding of these higher-level driver behaviors requires a research focus on longer periods of driving -- even on "whole trip" driving. It may also require new tools and methods. Therefore, to explore insights and implications of a "whole trip" focus, data from 10 drivers were analyzed using methods tailored for identifying patterns within larger sequences of driving data than single-task epochs. The results are reported, discussed, and contrasted with more conventional approaches based on single-task epochs.

Available:
https://drivingassessment.uiowa.edu/sites/drivingassessment.uiowa.edu/files/da2019_02_angell_final.pdf

Language: en