Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study

Wilson, Heather; LARGE, DAVID; Burnett, Gary

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, October). Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study. Presented at 8th International Conference on Driver Distraction and Inattention (DDI2022), Gothenburg, Sweden

• Presentation Conference Type: Edited Proceedings
• Conference Name: 8th International Conference on Driver Distraction and Inattention (DDI2022)
• 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/