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HAROLD

Lead Research Organisation: University of Leeds
Department Name: Institute for Transport Studies

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
 
Description Using a series of driving simulator studies, we have studied driver response and eye movements during day and night time driving. Specifically, we have considered how engagement in tasks that take drivers' mind off the driving task (such as handsfree phone conversations), affect detection of peripheral targets, such as crossing pedestrians. We have studied the behaviour of younger and older drivers in this context.
Preliminary results show that detection is later when drivers are engaged in the distracting task. Older drivers find engaging in the distraction task challenging, especially at night. Both old and young drivers' vehicle control is affected by engaging in the distraction task.
Exploitation Route This work is immensely relevant to understanding driver behaviour at the present time, with drivers' attention being caught by many systems both in and out of the vehicle. These include messages and warnings presented by the vehicle's own devices, demand from nomadic devices, such as mobile phones, and simple disraction imposed by everyday demands of a busy life in the 21st century.
Sectors Communities and Social Services/Policy

Digital/Communication/Information Technologies (including Software)

Transport

 
Description The work in HAROLD has focused on how engagement in "cognitively distracting tasks" such as hands free phone use affects driver detection of peripheral targets. Research has illustrated that tasks which take drivers' mind off the road, such as engaging in a handsfree phone conversation, causes a "freezing" of drivers' eye gaze towards the road centre area, reducing chances of detecting peripheral targets. Engagement in such purely cogntive tasks (which do not necessarily take drivers' eyes away from the road centre) could be detrimental to detection of objects in areas other than the road centre, including pedestrians. Engagement in such tasks by drivers is known to reduce gaze towards other safety critical areas such as the side or rear view mirrors. Through a series of driving simulator studies, we have studied driver detection of artificial peripheral targets (study 1) and crossing pedestrians (studies 2 and 3), during day time and night time conditions. We have also compared response by younger and older drivers. Preliminary results show lower detection of peripheral targets when drivers are engaged in a secondary cognitive task (the artificial N-back task, which is thought to require the same demands as a handsfree telephone conversation). Results also show differences in performance between younger and older drivers, with recommendation in place regarding tranining needs for both age groups. A final study partly funded by the project has been used for a new PhD student, considering how day and night time conditions affect detection of road hazards (pedestrians and cars) during manual and highly automated (SAE Level 2) driving. Both vehicle based and eye tracking data have been collected and are currently being analysed. Preliminary results were presented at the international Driver Distraction and Inattention conference in Michigan (Oct 2024).
First Year Of Impact 2021
Sector Digital/Communication/Information Technologies (including Software),Education,Transport
Impact Types Societal

Economic

 
Description COLLABORATION WITH JLR AS PART OF iCASE STUDENTHIP 
Organisation Jaguar Land Rover Automotive PLC
Department Jaguar Land Rover
Country United Kingdom 
Sector Private 
PI Contribution Data is collected using the driving simulator, as part of the project, for an iCASE studentship.
Collaborator Contribution in-kind support via supervision and facilities. Direct cash for studentship.
Impact publication, further collaboration on new iCASE
Start Year 2022
 
Description Collaboration with Smart Eye 
Organisation Smart Eye
Country Sweden 
Sector Private 
PI Contribution Data collection using the Smart Eye cameras
Collaborator Contribution provision of expert advice and eye tracking kit
Impact please see publications
Start Year 2022
 
Description Collaboration with Tobii 
Organisation Tobii Technology AB (Stockholm)
Country Sweden 
Sector Private 
PI Contribution Data collection using the Tobii eye tracker, provided in kind
Collaborator Contribution Tobii 3 eye tracker and software provided for data collection and analysis
Impact please see publication
Start Year 2023
 
Description Overview of current understanding in driver distraction 
Organisation AECOM Technology Corporation
Department AECOM, Nottingham, UK
Country United Kingdom 
Sector Private 
PI Contribution The team has been advising the Department for Transport and CCAV on research needs for mitigating driver distraction
Collaborator Contribution A joint project to identify areas for further research in this area
Impact A report with recommendations for further research has been prepared between the two teams and we are awaiting news of follow on funding
Start Year 2022
 
Description Literature review and expert workshop - Department for Transport 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact An expert workshop with industrial, policymakers and academic partners with an expertise in driver distraction, to inform further research by the UK DfT
Year(s) Of Engagement Activity 2022
 
Description Panel Discussion DDI 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact International Panel Discussion about the prevalence of distraction and inattention on the road
Year(s) Of Engagement Activity 2022
URL https://ddi2022.org/2022-program/