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Predicting the visual demand of finger-touch pointing tasks in a driving context

Large, David R.; Crundall, Elizabeth; Burnett, Gary; Skrypchuk, Lee

Authors

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

Elizabeth Crundall

Gary Burnett

Lee Skrypchuk



Abstract

Finger-touch based interactions with capacitive touchscreen devices in cars are becoming increasingly common. As such, it is critical to understand the basic human factors of target acquisition (pointing/touching) in this context. We describe a simulator study that aims to build Fitts’ Law relationships for predicting the visual demands (mean glance duration and total glance time) associated with finger-touch pointing tasks as a function of target size, location and design. The observed data show strong linear relationships between all visual demand measures and Fitts’ index of difficulty, indicating that finger-touch pointing tasks conform well with the Fitts’ Law model under conditions of divided attention. The derived equations are discussed in the context of designing in-vehicle touchscreen interfaces for minimal visual demand.

Citation

Large, D. R., Crundall, E., Burnett, G., & Skrypchuk, L. (2015). Predicting the visual demand of finger-touch pointing tasks in a driving context. In AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 221-224. doi:10.1145/2799250.2799256

Conference Name The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Start Date Sep 1, 2015
End Date Sep 3, 2015
Acceptance Date Sep 1, 2015
Publication Date 2015
Deposit Date May 9, 2019
Publicly Available Date Mar 28, 2024
Pages 221-224
Book Title AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
ISBN 9781450337366
DOI https://doi.org/10.1145/2799250.2799256
Public URL https://nottingham-repository.worktribe.com/output/2035741
Publisher URL https://dl.acm.org/citation.cfm?doid=2799250.2799256