Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch

Bashar I. Ahmad, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Patrick Langdon and Simon Godsill
Additional contact information
Bashar I. Ahmad: University of Cambridge, Cambridge, UK
Chrisminder Hare: Jaguar Land Rover, Coventry, UK
Harpreet Singh: Jaguar Land Rover, Coventry, UK
Arber Shabani: Jaguar Land Rover, Coventry, UK
Briana Lindsay: Jaguar Land Rover, Coventry, UK
Lee Skrypchuk: Jaguar Land Rover, Coventry, UK
Patrick Langdon: University of Cambridge, Cambridge, UK
Simon Godsill: University of Cambridge, Cambridge, UK

International Journal of Mobile Human Computer Interaction (IJMHCI), 2019, vol. 11, issue 3, 18-39

Abstract: Predictive touch technology aims to improve the usability and performance of in-vehicle displays under the influence of perturbations due to the road and driving conditions. It fundamentally relies on predicting and early in the freehand pointing movement, the interface item the user intends to select, using a novel Bayesian inference framework. This article focusses on evaluating facilitation schemes for selecting the predicted interface component whilst driving, and without physically touching the display, thus touchless. Initially, several viable schemes were identified in a brainstorming session followed by an expert workshop with 12 participants. A simulator study with 24 participants using a prototype predictive touch system was then conducted. A number of collected quantitative and qualitative measures show that immediate mid-air selection, where the system autonomously auto-selects the predicted interface component, may be the most promising strategy for predictive touch.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJMHCI.2019070102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jmhci0:v:11:y:2019:i:3:p:18-39

Access Statistics for this article

International Journal of Mobile Human Computer Interaction (IJMHCI) is currently edited by Joanna Lumsden

More articles in International Journal of Mobile Human Computer Interaction (IJMHCI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().