Human-Centred Future Mobility Innovation - New horizons for optimised Human Behaviour in Autonomous, Connected, Electrified, and Shared vehicle

Lead Research Organisation: Tata Motors (United Kingdom)
Department Name: JLR Research Dept

Abstract

The Autonomous, Connected, Electrified, and Shared (ACES) mobility revolution will change the driving environment creating fundamental differences resulting from emerging technologies. This change may make it challenging for the end-users to adopt because of uncertainty of the unknown, particularly where safety is a risk factor. Therefore, what defines "the vehicle" is being challenged. Imagine the difference between a privately owned human-driven, combustion engine vehicle with no connectivity to the internet, versus a shared vehicle with high levels of automation, electric powertrain and 5G connectivity. The anticipated benefits of future mobility technology may not be fully realised while we lack understanding of how these changes impact usability and change the vehicle experience.

The change in both the underlying technology used and therefore the end-user perception is vast. This will drive increased levels of perceived risk and uncertainty for those who might like the relatively stable and inert vehicles that exist today. For example:

Autonomy - incrementally lessens driver engagement bringing reducing levels of driving-related responsibility and potentially more freedom to perform alternative activities. Electrification - changes how a car is driven, with driving style and ownership habits that are different to the incumbent ICE technology.
Connectivity - challenges attention and distraction in low levels of automation but increased productivity in high levels of automation.
Shared - mobility changes the expectation of accessibility, ownership, familiarity, and perceived comfort within a vehicle.

Combining all four into an ACES car equates to a paradigm shift. While the technology underpinning these innovations is under rapid growth, the user-technology experience, and understanding how human behaviour in-vehicle changes within ACES, is not receiving adequate focus and therefore how driver behaviour will change naturalistically, influencing interaction inside and outside of the vehicle, is not well understood.

This project is business-led innovation that will investigate human behaviour and identify innovation and technology solutions to increase end-user acceptance, satisfaction and value. The target will be creating product novelty that results in societal benefits like safety and convenience as well as adding value to Jaguar Land Rover (JLR) and the UK innovation ecosystem. Initially, this project will define key challenges associated with human behaviour in near-future vehicles in order to invent and commercialise new technology solutions. This will include psychology, physiology, and human factors while focusing on perceptual, cognitive and physical demand as well as comfort, motion sickness, trust and productivity (particularly for automated vehicles) and their influence on end-user experience. The research will empathise, create ideas, collect, analyse, and interpret data, to turn findings into engineering requirements and new technology to guide future vehicle innovation. Collaboration with some of the world's greatest technical universities who will provide academic support, mentoring and strategic direction to make sure the latest cutting edge scientific approaches are used. Taking a user centred and data driven approach to designing ACES vehicles will result in societal benefits such as safety and convenience as well as adding value to Jaguar Land Rover and the wider UK society.

Planned Impact

This project will generate impact at a number of key levels. Firstly, at the individual level, it will help to develop Mr. Lee Skrypchuk as a future business leader and figurehead in the area of Human-Centred Future Mobility Innovation within Jaguar Land Rover. This will provide Mr Skrypchuk with a platform to showcase to the delivery of a large scale project with wide-reaching impact. Additionally, it will initially benefit a small team of people and become a blueprint for success in mobility innovation. This will help showcase the multidisciplinary approach needed and become a template that other teams to follow, linking basic science, data-driven, human-centred approach and embedding into a product development cycle. The cross-disciplinary nature of the work will require a challenging, engaging, and innovative work environment and the creation of a multidisciplinary team.

At the business level, the centre of excellence and capability to empower JLR as a technical innovator in the field of understanding of human behaviour in-vehicle. JLR has a proud history of design and innovation but needs to find new ways to evolve and succeed during this period of unprecedented change. The creation of engaging and transparent customer experiences will be key to our continued success. This will lead to a wealth of novel, valuable intellectual property, ensuring JLR competitiveness in market hotly contested by technology-savvy new and old competitors.

This project will impact elements of the product development cycle within JLR. Many of the traditional engineering-based disciplines do not account for end-user experience in sufficient detail so focus is necessary to keep pace with the enabling technology. There is a risk that the technology will fail to meet user needs if not carefully deployed or evaluated so as to consider the wide variety of user-product situations. Therefore, alongside the impact of technology deployed on JLR vehicles there will be impact on the processes within JLR to develop and manufacture technology.

There will be academic impact for the project by collaborating with some of the most established global universities working in this area. This means the best scientific knowledge and practice will be available to support, but also that the learning the project generates can be disseminated within the universities and used for teaching & research purposes to help the next generation of students. This will impact the collaborating universities but also through publication in relevant peer-reviewed journals such Transportation Research and presenting at international conferences such as Automotive User Interfaces, SAE World Congress and Transportation Research Board Annual Meeting.

At the international level, it would put the UK in a competitive position of Human-Centred Future Mobility Innovation through data driven innovation and technology deployment establishing the UK as one of the world leaders in this area. It will also address the skills gap, and promote the cross-disciplinary nature of the work and the subsequent training necessary to support the growth of this area within industry. This would help to attract, train, and retain the best talent to the UK and also to JLR. This may also provide a mechanism for informing or improving national or international standards as it will generate data to support the deployment of these changes. This project will give focus to solving problems in an applied project that goes from basic principles through to market deployment.

Publications

10 25 50
 
Description A number of wide ranging outcomes have been achieved so far as part of this funding which has helped greatly in terms of raising the profile of human science within Jaguar Land Rover. The key workstreams have established:
1) Key requirements around digital interface development in terms of how to translate physical controls into digital ones. By looking at all physical and cognitive factors translating key functions into a digital interface, then measuring an testing performance, we found interesting age related performance issues around the move towards digitalisation.
2) Key design requirements for Augmented Reality Head up Displays. By looking at the base science and using this to generate a set of assumptions for design of HUD;s
3) Principles for developing interface systems that incorporate attention management. Taking a ground up approach that uses technology to support the delivery of systems that help drivers to manage thier own attention. We have recently found key facts about how visual complexity in the vehicle impacts attention management, how presentation of information in different locations affects attention management, both of which are helping to support the delivery of future Jaguar Land Rover vehicles.
Exploitation Route Any industry that uses digital user interfaces, whereby human performance is challenged can take advantage of the findings of the work. Attention is a premium resource and hence any application area where the attention process of the human is challenged can potentially benefit from this work.
Sectors Digital/Communication/Information Technologies (including Software),Transport

 
Description This fellowship is all about non-academic impact. The main impact so far has been around creating a more robust internal process using specific human-centred methodologies that were previously not well deployed or only deployed in pockets. This makes the systems we produce and put into a product more robust and cheaper to developed making the business more sustainable. To do this, embedding a human centred approach into a company like Jaguar Land Rover for the purposes of HMI design has been critical and I am excited that more potential successes can come out in the remainder of this fellowship. The funding has allowed me the time and space to develop a strategy around Attention Management, put in place the test procedures and iteration required to fulfil the Human-Centred tag and to introduce early in the process access to real end customers. Equally, I am now involved in a number of external activities in both the UK and US markets that are looking at potential to influence policy in a similar way thus helping to integrate a more human centred way of delivering standards areound in-vehicle user experience.
First Year Of Impact 2021
Sector Transport
 
Description Presentation to Auto Innovators Forum in US on Attention Management Framework
Geographic Reach North America 
Policy Influence Type Contribution to a national consultation/review
 
Description UNECE R125 Field of Vision Assistant regulation
Geographic Reach Multiple continents/international 
Policy Influence Type Participation in a guidance/advisory committee
Impact This work influences the creation of safety regulations regarding guidelines and proposals for the implementation of forward Field of Vision Assistants, including AR HUD. This results in a standardised regulatory proposal that is agreed by policy makers, OEM's, national motoring organisations and governments. Furthermore, the effects on implementation will provide the driver with an experience that is safe and intuitive, not exclusive to JLR products but vehicle products (including commercial vehicles) worldwide.
URL https://wiki.unece.org/display/trans/Field+of+Vision+Assistant
 
Description EPSRC iCase Studentship Award Voucher
Amount £177,726 (GBP)
Funding ID 220070 
Organisation University of Nottingham 
Sector Academic/University
Country United Kingdom
Start 10/2022 
End 10/2025
 
Description Encouraging Drivers to Use Voice Agents for Interaction
Amount £29,232 (GBP)
Organisation University of Nottingham 
Sector Academic/University
Country United Kingdom
Start 10/2022 
End 09/2026
 
Description MANAGING DRIVER ATTENTION IN TOMORROW'S VEHICLES
Amount £29,232 (GBP)
Funding ID 20000098 
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 10/2022 
End 09/2026
 
Description MANAGING DRIVER ATTENTION IN TOMORROW'S VEHICLES (Notts)
Amount £29,232 (GBP)
Organisation University of Nottingham 
Sector Academic/University
Country United Kingdom
Start 10/2022 
End 09/2026
 
Title *confidential* - Development of testing platform for user testing 
Description Working closely with the GDD team at jaguar Land Rover's Portland office, a testing platform was developed that has afforded the ability to conduct in-person moderated, remote moderated, and remote unmoderated user trials. This tool has drastically changed the way user trials have been conducted over the last 18-24 months, and will be having a significant impact on how user testing sessions are conducted in the future. Much of the work conducted over the last 18-24 months and reported here would not have been possible or as effective as it is had this tool not been created. Credit for this tool goes largely to Mutlu Isik from the Portland office. 
Type Of Material Improvements to research infrastructure 
Year Produced 2021 
Provided To Others? Yes  
Impact The use of this tool has drastically changed the way that user testing in the vehicle has been conducted over the last 18 months. This tool allows us to create fully interactive, high fidelity user interfaces from actual assets that are intended for production in the future. This allows us to mock up production-standard interfaces, present them on a tablet computer or desk-top computer, dependent on the needs of the trial, and gather significant amounts of data relating to how people interact with them. 
 
Title *confidential* Usability Heuristics Assessment on Competitors Infotainment 
Description Usability Heuristics Assessment is a method to identify the usability strengths and defects of any interface. The 10 heuristic principles defined by Jacob Nielson based on human behaviour are referred for this study. Issues are rated on 0-4 scale in which 0 is considered as 'Not a usability problem' and 4 considered as 'Usability Catastrophe'. 
Type Of Material Improvements to research infrastructure 
Year Produced 2023 
Provided To Others? No  
Impact Following are the key impacts when it is performed on competitors HMI, 1. Reason-out the HMI strategy against design principles 2. Usability enhancement applied in the context of automotive HMI development 3. Competitors area of interest for improvements and respective trade-off 4. Useful to set usability target for JLR vehicles against competitions 
 
Title Fixed Base Diving Simulator Commisioning. 
Description This fellowship has allowed us to re-commission an old driving simulator setup that had not been used due to the COVID pandemic. Following social distancing measures we had a large backlog of studies that needed to be carried out to keep pace with the development projects the research was supporting. Due to the number of studies needed, these could not all be carried out in a real vehicle. Therefore we decided to get the simulator setup that we have based at Warwick University up and running again. The simulator is now available for use on fellowship related research and we are planning to use some of the funding we have for the fellowship to upgrade the facility further. 
Type Of Material Improvements to research infrastructure 
Year Produced 2022 
Provided To Others? No  
Impact So far the facility has been used to carry out the following studies and answer the following research questions - Does visual display complexity impact attention management in the vehicle. - How does different activation / display methods for basic ADAS functions perform in a driving envionment. - What combinations of information display are best for typical vehicle feedback messaging. All of these studies are influencing the development of production vehicles at Jaguar Land Rover targetted at 2025 
 
Title Method for Manual Coding of Video for Eye-gaze analysis of driving behavior - Machine Coded, Manually Checked. 
Description The method involves a hybrid approach to eye glance coding. Typically methods used are either manually coded (frame by frame, as per ISO method) or automated, using a piece of equipment that tracks eye gaze over time against a world model. This method is a hybrid approach that takes ordinary video of the drivers face, uses an open source computer vision eye algortihm to calculate head / eye based parameters. This data is then used to build a predictive model to assess a number of task based videos. This is then manually check by the human, rather than the human manually coding every frame. The advantages of this are that its very cheap (just a simple webcam required) and its quicker than having to manually code every single frame. 
Type Of Material Improvements to research infrastructure 
Year Produced 2022 
Provided To Others? No  
Impact This method has allowed us to process eye-gaze data, which is critical to the analysis of driver behaviour in the car, in a simple way in challenging environments such as a moving vehicle without the need for very expensive, generally unreliable equipment. Eye gaze data is becoming a critical factor in understanding and improving interactions in the car. This technique gives us access to this data using a cheap and reliable approach. 
 
Description AttentivU 
Organisation Jaguar Land Rover Automotive PLC
Country United Kingdom 
Sector Private 
PI Contribution We are collaborating with MIT's AttentivU (electroencephalography & electrooculography glasses) to measure cognitive load, fatigue & engagement during real-world driving tasks. AttentivU uses passive & active interventions when the user is less attentive & adapts the environment during cognitive overload. It will enable JLR to monitor if drivers neglect areas of low cognitive capacity, nudge drivers to monitor their area of low cognitive capacity, examine driver behavioural intervention efficacy & examine attention in real-time.
Collaborator Contribution Help in designing protocol.
Impact Study protocol (awaiting delivery of hardware). This collaboration spans cognitive neuroscience and psychology, human factors and neuroergonomics.
Start Year 2022
 
Description AttentivU 
Organisation Massachusetts Institute of Technology
Country United States 
Sector Academic/University 
PI Contribution We are collaborating with MIT's AttentivU (electroencephalography & electrooculography glasses) to measure cognitive load, fatigue & engagement during real-world driving tasks. AttentivU uses passive & active interventions when the user is less attentive & adapts the environment during cognitive overload. It will enable JLR to monitor if drivers neglect areas of low cognitive capacity, nudge drivers to monitor their area of low cognitive capacity, examine driver behavioural intervention efficacy & examine attention in real-time.
Collaborator Contribution Help in designing protocol.
Impact Study protocol (awaiting delivery of hardware). This collaboration spans cognitive neuroscience and psychology, human factors and neuroergonomics.
Start Year 2022
 
Description Automotive Human Factors Evaluation for Automotive Demand 
Organisation Google
Country United States 
Sector Private 
PI Contribution This partnership is an industry working group aimed at producing an evaluation framework for in-vehicle systems. This project is in its 3rd iteration, and has changed from pursuing scientific insight into the impact of demand within the vehicle, to developing a framework for attention management within the car considering many of the key factors influencing this field in the coming years. The aim is to get a situation where systems are designed to be more usable because they are designed with the human and the task environment in mind.
Collaborator Contribution I am actively involved in the partnership as one of the founding members and having been involved in the project from its very early days. The aim is to produce a framework based upon the principle of attention management and our input has mainly been technical insight and contribution to the framework. Making proposals to the group considering the technical insight we have gained and how this could be structured to influence the way in which vehicle systems are deployed. The project is lead from the US and hence the aim is to share the framework, when ready, with relevent stakeholders to try and get alignment and buy in to it at an industry level.
Impact The main output so far has been the development of a draft framework for attention management. This has been a realatively multidisciplinary approach with a number of different contributors involved. So far, no specific outcomes have been published although there is a plan to hold an academic panel discussion at the Human Factors and Ergonomics Society annnual general meeting in October 2022, followed by various engagements with industry bodies and regulators within the US
Start Year 2021
 
Description Automotive Human Factors Evaluation for Automotive Demand 
Organisation Massachusetts Institute of Technology
Country United States 
Sector Academic/University 
PI Contribution This partnership is an industry working group aimed at producing an evaluation framework for in-vehicle systems. This project is in its 3rd iteration, and has changed from pursuing scientific insight into the impact of demand within the vehicle, to developing a framework for attention management within the car considering many of the key factors influencing this field in the coming years. The aim is to get a situation where systems are designed to be more usable because they are designed with the human and the task environment in mind.
Collaborator Contribution I am actively involved in the partnership as one of the founding members and having been involved in the project from its very early days. The aim is to produce a framework based upon the principle of attention management and our input has mainly been technical insight and contribution to the framework. Making proposals to the group considering the technical insight we have gained and how this could be structured to influence the way in which vehicle systems are deployed. The project is lead from the US and hence the aim is to share the framework, when ready, with relevent stakeholders to try and get alignment and buy in to it at an industry level.
Impact The main output so far has been the development of a draft framework for attention management. This has been a realatively multidisciplinary approach with a number of different contributors involved. So far, no specific outcomes have been published although there is a plan to hold an academic panel discussion at the Human Factors and Ergonomics Society annnual general meeting in October 2022, followed by various engagements with industry bodies and regulators within the US
Start Year 2021
 
Description Automotive Human Factors Evaluation for Automotive Demand 
Organisation Volkswagen
Country Germany 
Sector Private 
PI Contribution This partnership is an industry working group aimed at producing an evaluation framework for in-vehicle systems. This project is in its 3rd iteration, and has changed from pursuing scientific insight into the impact of demand within the vehicle, to developing a framework for attention management within the car considering many of the key factors influencing this field in the coming years. The aim is to get a situation where systems are designed to be more usable because they are designed with the human and the task environment in mind.
Collaborator Contribution I am actively involved in the partnership as one of the founding members and having been involved in the project from its very early days. The aim is to produce a framework based upon the principle of attention management and our input has mainly been technical insight and contribution to the framework. Making proposals to the group considering the technical insight we have gained and how this could be structured to influence the way in which vehicle systems are deployed. The project is lead from the US and hence the aim is to share the framework, when ready, with relevent stakeholders to try and get alignment and buy in to it at an industry level.
Impact The main output so far has been the development of a draft framework for attention management. This has been a realatively multidisciplinary approach with a number of different contributors involved. So far, no specific outcomes have been published although there is a plan to hold an academic panel discussion at the Human Factors and Ergonomics Society annnual general meeting in October 2022, followed by various engagements with industry bodies and regulators within the US
Start Year 2021
 
Description Brain Computer Interfaces 
Organisation Cranfield University
Country United Kingdom 
Sector Academic/University 
PI Contribution Equipment has been loaned to Cranfield for long term investigations into contactless brain wave monitoring and how this can be used in vehicles. Expertise from internal team members.
Collaborator Contribution Cranfield have a dedicated team and dedicated facilities that JLR currently lack. These facilities were made available to JLR for the duration of these investigations
Impact So far one paper has come from this collaboration, with others expected in the future.
Start Year 2022
 
Description Driver Coaching 
Organisation University of Southampton
Department PublicPolicy@Southampton
Country United Kingdom 
Sector Academic/University 
PI Contribution With driving being the primary mode of transport for many, the transition from ICE to EV requires training for the maximum benefits to be realised. Many apps for this are currently based on charging location and route planning rather than coaching and behaviour change for this kind of transition. In collaboration with Southampton University, we are looking to explore the effect of coaching tools on driving in addition to creating a personalised coaching tool for drivers to use during and beyond this transition.
Collaborator Contribution Identifying funding opportunities and work plan.
Impact Study work plan - awaiting funding submission
Start Year 2022
 
Description Leeds Attention Management PHD 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution I am supervising a Phd student for this project, and will be giving some of my time each month towards this supervision.
Collaborator Contribution None as of yet, PhD has only just started.
Impact None yet
Start Year 2022
 
Description Nottingham Attention Management PhD 
Organisation University of Nottingham
Country United Kingdom 
Sector Academic/University 
PI Contribution Supervision of PhD including time and resources as needed
Collaborator Contribution Access to Professorial supervision and world-class research facilities
Impact None as of yet as the PhD has only just started
Start Year 2023
 
Description Nottingham Voice Agent PhD 
Organisation University of Nottingham
Country United Kingdom 
Sector Academic/University 
PI Contribution Supervision of PhD student and future access to JLR sites and resources as needed for the PhD.
Collaborator Contribution Professorial supervision, access to world-class research facilities
Impact None as of yet
Start Year 2022
 
Description SplitSage 
Organisation Jaguar Land Rover Automotive PLC
Department Jaguar Land Rover
Country United Kingdom 
Sector Private 
PI Contribution SplitSage s cognitive testing measures how much and where one can perceive information across the visual field. This is elemental information for optimal human/machine interfaces (HMI), safety and driving behaviour and tailoring vehicular HMI for each driver s cognitive capacity is an exemplar of modern luxury that is not provided by any other carmaker. This technology could also be embedded into the vehicle to monitor if driving conditions are exceeding the driver s cognitive capacity. In collaboration with SplitSage, we will examine how their cognitive capacity profile effects their ability to notice notifications in common vehicular HMI sites, investigate whether fatigue effects their perceptual abilities & whether these variables relate to psychosocial factors.
Collaborator Contribution Help with protocol design.
Impact Study protocol (awaiting hardware to arrive)
Start Year 2022
 
Description Thymia 
Organisation Jaguar Land Rover Automotive PLC
Department Jaguar Land Rover
Country United Kingdom 
Sector Private 
PI Contribution Study design and protocol.
Collaborator Contribution Thymia use video games based on Neuropsychology together with analyses of facial microexpressions & speech patterns to make mental health assessments faster, more accurate and objective. We believe that deploying Thymia In a vehicle environment, will allows us to passively & objectively measure stress, attention, fatigue, improve voice in-car commands, assess potential intoxication and mood changes
Impact Study protocol (awaiting for JLR to complete purchase)
Start Year 2022
 
Title Gaze Annotate 2.0 
Description Gaze Annotate 2.0 is a Updated Version of the original Gaze Annotate originally created by Lee Skrypchuk. 2.0 has the possibilities to track new metrics that can be used for further data analysis. 
Type Of Technology Software 
Year Produced 2022 
Impact The new version of Gaze Annotate allow experimenters to track newly gathered metrics. The new metrics that are gathered include; Emotions with Action Units and Blinks. We can now note down the emotional effect on the driver of new features as well as pinpoint when they blink during the process of using the new features. Another notable difference that Gaze Annotate 2.0 brings is the new increased accuracy of the predictions when it comes to the Driver looking around the cabin. 
 
Title GazeAnnotate - a software tool for eye gaze analysis that includes machine learning for prediction, but allows the learned code to be manually annotated afterwards 
Description The software takes a series of videos of the face of a driver as an input, converts this to gaze attribute data, carries out a gaze region prediction and then allows a human to step through the video frame by frame to check that the prediction is accurately reflecting where the driver has looked. We have been able to analyse gaze behaviour of drivers much quicker and cheaper than ever before. The accuracy of electronic automated eye-tracking systems is not at the level of accuracy required to be used for accurate testing. However, machine learning methods can be used to make predictions of where the driver is looking based upon a training data set. This software takes a series of raw video files and a calibration files, and uses the calibration file to predict the gaze direction of users in a vehicle. This saves a huge amount of time compared to just manual coding, and whilst isn't as fast as autmatically coding does provide a nice compromise over the time taken and the robustness of the data. 
Type Of Technology Software 
Year Produced 2021 
Impact We have used this in three seperate experiments to calculate gaze performance metrics for participants in the study allowing us to characterise the visual demand of the systems we develop for the vehicle. 
 
Description BMW Owner ADAS Testing 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact We sought to understand how experienced BMW owners used the ADAS features on their vehicle(s), and so we worked with our customer clinic team and an external agency to recruit members of the public who were owners of higher-end BMW vehicles, and who were experienced with the ADAS systems on their vehicle, specifically the ACC and Lane Centring features. We invited them to drive a JLR owned BMW X7 SUV on the test track at our Gaydon offices, and to activate and deactivate these ADAS features at random. This is the first time we have had non-JLR members of the public driving a JLR owned vehicle on the test track. The event was extremely well received and the members of the public not owning a JLR vehicle. They were all highly engaged and motivated for the tasks, and all said that they had enjoyed the experience.
Year(s) Of Engagement Activity 2022
 
Description Cambridge University Engineering Department news article 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Media (as a channel to the public)
Results and Impact An article was written for the Cambridge University Engineering Department website to explain the background to the fellowship and to advertise the topic area. At the time we were also looking for potential undergraduate students who were close to completing thier degree to get involved in some capacity as a post graduate. The website sparked a lot of interest and as a result of this a number of potential students contacted me because they were interested in potentially getting involved.
Year(s) Of Engagement Activity 2022
URL http://www.eng.cam.ac.uk/news/engineering-better-car-experience
 
Description JLR Vehicle Owners Engagement in Eco-driving features and ADAS systems 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact JLR had some questions around the use of the Eco-driving features and ADAS features. We were interested in the specific information that members of the public were looking for and using when they were using the eco-driving features of our vehicles, and whether or not they changed their driving behaviour as a result of the data that was presented to them. We also wanted to look at how they wanted this information presented to them; central touch screen, cluster display, mobile phone app, or a combination of these. A survey was posted on the JLR customer clinic and almost 500 responses were received from North America and the UK. Data shows that the most common location looked at for trip information was the cluster, with remaining fuel range being most widely used while driving. While stationary information relating to average speed, distance travelled, and overall summary data was most commonly accessed, with around 40% accessing this information in the central screen. Around 35% reported changing their driving behaviour as a result of this information, particularly on motorways/highways/
Year(s) Of Engagement Activity 2022
 
Description Participation in Panel Session at HFES 2022 on Attention Management 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact A panel session was held in October 2022 at the Human Factors (HFES) in Atlanta, US, 2022. This was the first out reach program of the AHEAD project, which Jaguar Land Rover is a member. The project is looking to develop a framework that better allows for safe, usable systems to be developed in production vehicles. The panel discussed the benefits of taking an attention-centric approach as opposed to a distracted-based approach which promotes a more proactive way of developing user interfaces for cars. This panel session was very well attended by many important key figures in the area of driving behaviour, and government policy in the US and hence was designed to bring to light the excellent work being carried out by the consortium. The panel was very well recieved by the participants, with some excellent questions asked. There were also some very high profile attendees in the world of Human Factors and policy in the US who were complimentary of the session after the event.
Year(s) Of Engagement Activity 2023
 
Description School Visit (Birmingham) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Session 1: roughly 90 students attended a careers talk regarding JLR research, sparking discussions and questions (both relating to JLR and the Research Dept.), school reported increased interest in related subject areas.

Session 2: roughly 10 students attended an in depth discussion about JLR Research dept, discussions and questions followed regarding both JLR and Research. Due to increased increased interest, discussions have taken place about setting up workshops/further discussions/year group focused activities.
Year(s) Of Engagement Activity 2022