Directability, eye-gaze, and the usage of visual displays during an automated vehicle handover task
Directability, eye-gaze, and the usage of visual displays during an automated vehicle handover task
The proposed next step in semi-automated vehicle technology is to allow a driver to conduct secondary tasks whilst automation is in full control of the driving task. The driver may be required to take control and promptly re-enter ‘the control loop’ if an automated feature reaches a design, geographical or capability boundary. In these circumstances it is of importance to raise the ‘Situation Awareness’ (SA) of the system through transactions between driver and vehicle. Communication literature suggests that a useful method for facilitating interactions between driver and automation is ‘directability’, guidance towards future actions or relevant pieces of information (e.g. road hazards). It is proposed that this would lead to improved SA. This study evaluated the role of directability in semi-automated vehicles by testing two research questions, how well can vocal communication from an automated assistant guide driver visual gaze, and how do drivers utilise visual displays during handover and manual driving? Participants took part in a simulated driving handover task on a highway. It was found that vocal guidance was effective in directing visual gaze. Further, the majority of visual-gaze in both handover and manual tasks was directed towards the road environment, and displays close to the road-view. This study provides additional evidence that vocal communication could serve as a reliable SA raising method, as well as provide insights into how different visual displays can be utilised for raising SA in level 3 and 4 automated vehicles.
Automated Driving, Automobile, Eyetracking, Visual gaze, Handover
29-42
Clark, Jediah R.
5d82ac6c-58be-4366-9b11-5e3179d85b33
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Revell, Kirsten M.A.
e80fedfc-3022-45b5-bcea-5a19d5d28ea0
November 2019
Clark, Jediah R.
5d82ac6c-58be-4366-9b11-5e3179d85b33
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Revell, Kirsten M.A.
e80fedfc-3022-45b5-bcea-5a19d5d28ea0
Clark, Jediah R., Stanton, Neville A. and Revell, Kirsten M.A.
(2019)
Directability, eye-gaze, and the usage of visual displays during an automated vehicle handover task.
Transportation Research Part F: Traffic Psychology and Behaviour, 67 (1), .
Abstract
The proposed next step in semi-automated vehicle technology is to allow a driver to conduct secondary tasks whilst automation is in full control of the driving task. The driver may be required to take control and promptly re-enter ‘the control loop’ if an automated feature reaches a design, geographical or capability boundary. In these circumstances it is of importance to raise the ‘Situation Awareness’ (SA) of the system through transactions between driver and vehicle. Communication literature suggests that a useful method for facilitating interactions between driver and automation is ‘directability’, guidance towards future actions or relevant pieces of information (e.g. road hazards). It is proposed that this would lead to improved SA. This study evaluated the role of directability in semi-automated vehicles by testing two research questions, how well can vocal communication from an automated assistant guide driver visual gaze, and how do drivers utilise visual displays during handover and manual driving? Participants took part in a simulated driving handover task on a highway. It was found that vocal guidance was effective in directing visual gaze. Further, the majority of visual-gaze in both handover and manual tasks was directed towards the road environment, and displays close to the road-view. This study provides additional evidence that vocal communication could serve as a reliable SA raising method, as well as provide insights into how different visual displays can be utilised for raising SA in level 3 and 4 automated vehicles.
Text
Clark_et_al._2019_DirectabilityInAVs
- Accepted Manuscript
More information
Accepted/In Press date: 16 October 2019
e-pub ahead of print date: 28 October 2019
Published date: November 2019
Keywords:
Automated Driving, Automobile, Eyetracking, Visual gaze, Handover
Identifiers
Local EPrints ID: 446832
URI: http://eprints.soton.ac.uk/id/eprint/446832
ISSN: 1369-8478
PURE UUID: 92b3d1e9-b66f-4ae0-83a0-3d27bf29c5ea
Catalogue record
Date deposited: 24 Feb 2021 17:30
Last modified: 17 Mar 2024 06:13
Export record
Contributors
Author:
Jediah R. Clark
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