Search:
Computing and Library Services - delivering an inspiring information environment

Driver Interaction with a Traffic Light Assistant App: A Naturalistic Investigation

Wilson, Kyle M., Bridges, Karl, Ward, Paul, Parkinson, Simon, Louw, Tyron and Cooney, Ryan (2017) Driver Interaction with a Traffic Light Assistant App: A Naturalistic Investigation. In: Contemporary Ergonomics & Human Factors 2017: Proceedings of the Annual Conference of the Chartered Institute of Ergonomics & Human Factors. CIEHF, Daventry, UK, pp. 143-150.

Metadata only available from this repository.

Abstract

A smartphone-based traffic light assistant application, EnLighten, was investigated for its ability to improve subjective driving experience and safely reduce the time it took drivers to ‘move off’ at signalised intersections. Five drivers participated in four trials over a period of three weeks. Testing took place on public roads in unaltered normal traffic conditions. It was found that EnLighten can reduce move-off times however it presented safety risks. Advantages and disadvantages of naturalistic in-vehicle testing are also discussed.

Item Type: Book Chapter
Uncontrolled Keywords: Driving; Naturalistic; Traffic congestion; Cognitive workload; transport; automotive
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > Q Science (General)
T Technology > T Technology (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Schools: School of Computing and Engineering
School of Human and Health Sciences
Related URLs:
Depositing User: Kyle Wilson
Date Deposited: 19 Jan 2017 10:35
Last Modified: 10 May 2017 13:42
URI: http://eprints.hud.ac.uk/id/eprint/30948

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©