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In the Context of Whole Trips: New Insights Into Driver Management of Attention and Tasks
Author(s) -
Linda Angell,
Sean Seaman,
Rashmi P. Payyanadan,
Wayne Biever,
Bobbie Seppelt,
Bruce Mehler,
Bryan Reimer
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1667
Subject(s) - delegate , computer science , task analysis , task (project management) , automation , focus (optics) , trips architecture , context (archaeology) , thread (computing) , task management , human–computer interaction , data science , engineering , systems engineering , parallel computing , mechanical engineering , paleontology , physics , optics , biology , programming language , operating system
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.

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