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Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study

Wilson, Heather; LARGE, DAVID; Burnett, Gary

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Authors

Heather Wilson

DAVID LARGE David.R.Large@nottingham.ac.uk
Senior Research Fellow

Gary Burnett



Abstract

Theoretical techniques to model and predict drivers’ visual behaviour during the execution of secondary in- vehicle tasks, such as the extended keystroke level model (eKLM), are predicated on perfect task resumability during the interleaving of attention, i.e., it is assumed that the secondary task can resume without penalty – irrespective of task characteristics – as soon as attention is redirected to it. In practice, this is unlikely to be the case. Moreover, it is reasonable to opine that resumability may improve over increasing numbers of glances. A formative occlusion study was devised to explore search-and-touch HMI interactions in which the number of glances and task complexity varied, with the aim of deriving new eKLM resumability operators.

Citation

Wilson, H., LARGE, D., & Burnett, G. (2022). Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study.

Conference Name 8th International Conference on Driver Distraction and Inattention (DDI2022)
Conference Location Gothenburg, Sweden
Start Date Oct 19, 2022
End Date Oct 20, 2022
Acceptance Date Jun 14, 2022
Online Publication Date Oct 19, 2022
Publication Date Oct 19, 2022
Deposit Date Jul 26, 2022
Publicly Available Date Oct 19, 2022
Series Title International Conference on Driver Distraction and Inattention
Public URL https://nottingham-repository.worktribe.com/output/9402029
Publisher URL https://meetx.eventsair.com/ddi2022
Related Public URLs https://ddi2022.org/

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