What does an Automated Vehicle class as a hazard? Using online video-based training to improve drivers’ trust and mental models for activating an Automated Vehicle
What does an Automated Vehicle class as a hazard? Using online video-based training to improve drivers’ trust and mental models for activating an Automated Vehicle
One of the arguments in favour for the introduction of Automated Vehicles (AVs) is that they will improve road safety by reducing the frequency and severity of on-road collisions. However, if drivers have a poor mental model for the capabilities and limitations of the automation, they may over-trust and activate the automation in inappropriate road conditions leading to a collision. To address this, an online video-based training programme was developed to improve drivers’ mental models for when an AV can be activated, and this was compared to the current AV driver training method (i.e. owner’s manual) in a matched pairs experiment. Drivers were matched on their locus of control, age and gender before reading an owner’s manual (control group) or reading an owner’s manual and undergoing the new online training programme (experimental group). Their trust in automation and mental models were measured before and after training. This experiment found that the online training programme in combination with an owner’s manual led to a greater improvement in drivers’ mental models for when the automation can be activated compared to the owner’s manual in isolation. Additionally, as both training programmes exposed drivers to the limitations of the automation, both training programmes reduced drivers’ trust in automation. The online training programme can be completed anywhere, at any time and on any device, which makes it highly convenient. Therefore, there could be greater acceptance amongst current licenced drivers who may not be receptive to more training.
Automated Vehicles, Driver Training, Hazard Perception, Mental Models, Trust in Automation
1-17
Merriman, Siobhan
93bd85cd-f5a1-4b2c-96f5-7f1df776d07a
Revell, Kirsten
e80fedfc-3022-45b5-bcea-5a19d5d28ea0
Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78
1 October 2023
Merriman, Siobhan
93bd85cd-f5a1-4b2c-96f5-7f1df776d07a
Revell, Kirsten
e80fedfc-3022-45b5-bcea-5a19d5d28ea0
Plant, Katherine
3638555a-f2ca-4539-962c-422686518a78
Merriman, Siobhan, Revell, Kirsten and Plant, Katherine
(2023)
What does an Automated Vehicle class as a hazard? Using online video-based training to improve drivers’ trust and mental models for activating an Automated Vehicle.
Transportation Research Part F: Traffic Psychology and Behaviour, 98, .
(doi:10.1016/j.trf.2023.08.005).
Abstract
One of the arguments in favour for the introduction of Automated Vehicles (AVs) is that they will improve road safety by reducing the frequency and severity of on-road collisions. However, if drivers have a poor mental model for the capabilities and limitations of the automation, they may over-trust and activate the automation in inappropriate road conditions leading to a collision. To address this, an online video-based training programme was developed to improve drivers’ mental models for when an AV can be activated, and this was compared to the current AV driver training method (i.e. owner’s manual) in a matched pairs experiment. Drivers were matched on their locus of control, age and gender before reading an owner’s manual (control group) or reading an owner’s manual and undergoing the new online training programme (experimental group). Their trust in automation and mental models were measured before and after training. This experiment found that the online training programme in combination with an owner’s manual led to a greater improvement in drivers’ mental models for when the automation can be activated compared to the owner’s manual in isolation. Additionally, as both training programmes exposed drivers to the limitations of the automation, both training programmes reduced drivers’ trust in automation. The online training programme can be completed anywhere, at any time and on any device, which makes it highly convenient. Therefore, there could be greater acceptance amongst current licenced drivers who may not be receptive to more training.
Text
Development and Evaluation of an Online Training PURE
- Accepted Manuscript
Text
1-s2.0-S1369847823001729-main
- Version of Record
More information
Accepted/In Press date: 14 August 2023
e-pub ahead of print date: 20 August 2023
Published date: 1 October 2023
Additional Information:
Funding Information:
This research was funded by IAM RoadSmart and the Engineering and Physical Sciences Research Council. These funders had no involvement in the study design, in the collection, analysis, and interpretation of the data, in the writing of the report, and in the decision to submit this article for publication.
Publisher Copyright:
© 2023 The Authors
Keywords:
Automated Vehicles, Driver Training, Hazard Perception, Mental Models, Trust in Automation
Identifiers
Local EPrints ID: 481261
URI: http://eprints.soton.ac.uk/id/eprint/481261
ISSN: 1369-8478
PURE UUID: 2641a03d-2243-4462-9963-ce33df71cbb8
Catalogue record
Date deposited: 21 Aug 2023 16:58
Last modified: 18 Mar 2024 03:15
Export record
Altmetrics
Contributors
Author:
Siobhan Merriman
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics