In the Context of Whole Trips: New Insights Into Driver Management of Attention and Tasks
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.
- Record URL:
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Supplemental Notes:
- Abstract reprinted with permission of University of Iowa Public Policy Center.
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Corporate Authors:
University of Iowa, Iowa City
Public Policy Center
Department of Civil and Environmental Engineering
Iowa City, IA United States 52242-1192 -
Authors:
- Angell, Linda
- Seaman, Sean
- Payyanadan, Rashmi
- Biever, Wayne
- Seppelt, Bobbie
- Mehler, Bruce
- Reimer, Bryan
- Conference:
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 1-7
- Monograph Title: Driving Assessment 2019: Proceedings of the 10th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design
Subject/Index Terms
- TRT Terms: Attention; Automated vehicle control; Data analysis; Driver performance; Drivers; Task analysis; Trip length
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01735507
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 2 2020 9:42AM