DAVID LARGE David.R.Large@nottingham.ac.uk
Senior Research Fellow
Exploring the Behaviour of Distracted Drivers during Different Levels of Automation in Driving
Large, David; Banks, Victoria; Burnett, Gary; Baverstock, Sarah; Skrypchuk, Lee
Authors
Victoria Banks
Gary Burnett
Sarah Baverstock
Lee Skrypchuk
Abstract
Increased levels of automation in driving can reduce drivers’ situation-awareness and cause erratic changes to workload and skills degradation following prolonged exposure. In addition, drivers (particularly those who are vulnerable to the onset of boredom/fatigue) may engage in non-driving related, and potentially distracting, secondary tasks. Understanding the behavioural cues associated with this change in driver state can assist in the design and development of future driver monitoring systems that intervene in instances where a driver exhibits ‘high’ levels of distraction. The aim of this study was to explore the behavioural cues associated with distraction caused by a non-driving related secondary task (pseudo-text reading) during manual, partially-automated and highly-automated driving in a medium-fidelity driving simulator. Results from thirty drivers show that highly-automated driving was characterised by reduced workload, increased secondary task times and longer in-vehicle glances, compared to manual and partially-automated driving. In contrast, partially-automated driving was characterised by high workload, poor secondary task performance and low levels of situation awareness. Furthermore, primary and secondary task performance immediately following take-over during partially-automated driving was significantly compromised. The results indicate that the same type of ‘distraction’ can elicit different behavioural cues depending upon the level of automation within driving. This information can be used to further the development of future driver monitoring systems.
Conference Name | 5th International Conference on Driver Distraction and Inattention (DDI2017) |
---|---|
Start Date | Mar 20, 2017 |
End Date | Mar 22, 2017 |
Acceptance Date | Mar 20, 2017 |
Publication Date | Mar 20, 2017 |
Deposit Date | May 9, 2019 |
Publicly Available Date | May 23, 2019 |
Public URL | https://nottingham-repository.worktribe.com/output/2034975 |
Related Public URLs | https://www.ifsttar.fr/collections/ActesInteractifs/AII2/index.html |
Files
Large-Distracted Drivers-DDI2017 Paper 3A-3
(601 Kb)
PDF
You might also like
Ghost Busting: A Novel On-Road Exploration of External HMIs for Autonomous Vehicles
(2023)
Conference Proceeding
Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study
(2022)
Conference Proceeding
Deriving UX Dimensions for Future Autonomous Taxi Interface Design
(2022)
Journal Article
Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles
(2022)
Conference Proceeding
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search