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All Outputs (90)

Driver Perception Using A Camera-Based Digital Side Mirror: An On-Road Study (2021)
Conference Proceeding
Schkreba, A., Pampel, S., Burnett, G., & Large, D. (2021). Driver Perception Using A Camera-Based Digital Side Mirror: An On-Road Study.

Camera-based digital mirrors purport to offer a range of benefits yet may influence drivers’ ability to quickly and accurately extract salient information pertaining to driving. In an on-road study, fifteen experienced drivers (seated in the front, l... Read More about Driver Perception Using A Camera-Based Digital Side Mirror: An On-Road Study.

Empathy consideration in the design of natural language interfaces for future vehicles (2021)
Conference Proceeding
Anyasodo, B., & Burnett, G. (2021). Empathy consideration in the design of natural language interfaces for future vehicles. In D. Golightly, & R. Charles (Eds.), Ergonomics & Human Factors 2021

While the future of transportation paints a picture of seamless understanding of the passenger goals by the vehicle, it also exposes a gap in understanding what the human-machine engagement must become for a more natural in-car experience. Through na... Read More about Empathy consideration in the design of natural language interfaces for future vehicles.

Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles (2021)
Journal Article
Mahajan, K., Large, D. R., Burnett, G., & Velaga, N. R. (2021). Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles. Traffic Injury Prevention, 22(5), 378-383. https://doi.org/10.1080/15389588.2021.1904138

Objective: Vehicle automation shifts the driver's role from active operator to passive observer at the potential cost of degrading their alertness. This study investigated the role of an in-vehicle voice-based assistant (VA; conversing about traffic/... Read More about Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles.

Introducing CHAT to Improve Driver Performance during Level 3 Automated Driving (2021)
Conference Proceeding
Shaw, E., LARGE, D., Burnett, G., & Box, E. (2021). Introducing CHAT to Improve Driver Performance during Level 3 Automated Driving.

Intermediate levels of automation will place new demands on drivers. At this level, system capability allows drivers to turn their attention to non-driving tasks, but system boundaries will require the driver to takeover control when requested and re... Read More about Introducing CHAT to Improve Driver Performance during Level 3 Automated Driving.

Exploring the Benefits of Conversing with a Digital Voice Assistant during Automated Driving: A Parametric Duration Model of Takeover Time (2021)
Conference Proceeding
Mahajan, K., Large, D., Burnett, G., & Velaga, N. (2021). Exploring the Benefits of Conversing with a Digital Voice Assistant during Automated Driving: A Parametric Duration Model of Takeover Time. In Transportation Research Board. Annual Meeting Proceedings 2021

The current study investigated the role of an in-vehicle digital voice-assistant (VA) in conditionally automated vehicles, offering discourse relating specifically to contextual factors, such as the traffic situation and road environment. The study i... Read More about Exploring the Benefits of Conversing with a Digital Voice Assistant during Automated Driving: A Parametric Duration Model of Takeover Time.

A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display Graphics (2020)
Journal Article
Gabbard, J. L., Smith, M., Merenda, C., Burnett, G., & Large, D. R. (2022). A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display Graphics. IEEE Transactions on Visualization and Computer Graphics, 28(8), 2834 -2851. https://doi.org/10.1109/TVCG.2020.3044715

Augmented reality (AR) offers new ways to visualize information on-the-go. As noted in related work, AR graphics presented via optical see-through AR displays are particularly prone to color blending, whereby intended graphic colors may be perceptual... Read More about A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display Graphics.

Driver Training for Future Automated Vehicles: Introducing CHAT (CHeck, Assess, Takeover) (2020)
Report
Shaw, E., Large, D., & Burnett, G. (2020). Driver Training for Future Automated Vehicles: Introducing CHAT (CHeck, Assess, Takeover). RAC Foundation

Automated vehicles are expected to offer many benefits, including improvements in road safety, increased mobility, enhanced driver comfort, and reductions in road congestion. However, fully automated, autonomous vehicles that require no input from a... Read More about Driver Training for Future Automated Vehicles: Introducing CHAT (CHeck, Assess, Takeover).

Ultrahapticons: “Haptifying” Drivers’ Mental Models to Transform Automotive Mid-Air Haptic Gesture Infotainment Interfaces (2020)
Conference Proceeding
Brown, E., Large, D. R., Limerick, H., & Burnett, G. (2020). Ultrahapticons: “Haptifying” Drivers’ Mental Models to Transform Automotive Mid-Air Haptic Gesture Infotainment Interfaces. In AutomotiveUI '20: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (54-57). https://doi.org/10.1145/3409251.3411722

In-vehicle gesture interfaces show potential to reduce visual demand and improve task performance when supported with mid-air, ultrasound-haptic feedback. However, comparative studies have tended to select gestures and haptic sensations based either... Read More about Ultrahapticons: “Haptifying” Drivers’ Mental Models to Transform Automotive Mid-Air Haptic Gesture Infotainment Interfaces.

Towards Future Driver Training: Analysing Human Behaviour in Level 3 Automated Cars (2020)
Conference Proceeding
LARGE, D., Shaw, E., & Burnett, G. (2020). Towards Future Driver Training: Analysing Human Behaviour in Level 3 Automated Cars

Automation capability of future Level 3 vehicles will extend to tactical as well as control levels of the driving task. However, if systems fail or boundary limitations are exceeded the human driver must be ready to take over control of the vehicle.... Read More about Towards Future Driver Training: Analysing Human Behaviour in Level 3 Automated Cars.

Enhancing Drivers’ Awareness of Passing Pedestrians with Exocentric Digital Mirrors (2020)
Conference Proceeding
LARGE, D., Viputsakul, S., & Burnett, G. (2020). Enhancing Drivers’ Awareness of Passing Pedestrians with Exocentric Digital Mirrors.

Digital mirrors are expected to feature in next generation cars. Ongoing technological developments in on-board cameras, sensors and sensor-fusing algorithms means that future drivers could be provided with novel visualisations that are not limited t... Read More about Enhancing Drivers’ Awareness of Passing Pedestrians with Exocentric Digital Mirrors.

How do drivers recall positive and negative driving events? A quantitative approach to analysing driving diaries (2020)
Journal Article
Barnard, M., Pampel, S., Burnett, G., Allen, H., & Chapman, P. (2020). How do drivers recall positive and negative driving events? A quantitative approach to analysing driving diaries. Transportation Research Part F: Traffic Psychology and Behaviour, 69, 28-37. https://doi.org/10.1016/j.trf.2020.01.005

Whilst diary studies are often analysed in a qualitative manner, quantitative methods which analyse the percentage of different types of language used in diary entries, now exist. From a driving perspective, this could arguably tell us more about the... Read More about How do drivers recall positive and negative driving events? A quantitative approach to analysing driving diaries.

The influence of incentives and instructions on behaviour in driving simulator studies (2019)
Journal Article
Harvey, C., & Burnett, G. (2019). The influence of incentives and instructions on behaviour in driving simulator studies. Transportation Research Part F: Traffic Psychology and Behaviour, 67, 164-174. https://doi.org/10.1016/j.trf.2019.10.007

© 2019 Elsevier Ltd There are a number of factors which may influence the validity of experimental studies, including the incentives offered and the instructions provided to participants. These have been little-studied in the driving domain. The aim... Read More about The influence of incentives and instructions on behaviour in driving simulator studies.

Hierarchical Control for Trajectory Generation and Tracking Via Active Front Steering (2019)
Journal Article
Hellewell, J. S., Popov, A. A., & Burnett, G. E. (2020). Hierarchical Control for Trajectory Generation and Tracking Via Active Front Steering. Journal of Dynamic Systems, Measurement, and Control, 142(1), 1-10. https://doi.org/10.1115/1.4044620

A new hierarchical model predictive controller for autonomous vehicle steering control is presented. The controller generates a path of shortest distance by determining lateral coordinates on a longitudinal grid, while respecting road bounds. This pa... Read More about Hierarchical Control for Trajectory Generation and Tracking Via Active Front Steering.

A Longitudinal Simulator Study to Explore Drivers’ Behaviour in Level 3 Automated Vehicles (2019)
Conference Proceeding
Large, D. R., Burnett, G., Salanitri, D., Lawson, A., & Box, E. (2019). A Longitudinal Simulator Study to Explore Drivers’ Behaviour in Level 3 Automated Vehicles. In AutomotiveUI '19 : Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (222-232). https://doi.org/10.1145/3342197.3344519

In a longitudinal study, 49 drivers undertook a commute-style journey, with part of the route supporting level-3 automation, over five consecutive days. Bespoke HMIs were provided to keep drivers in-the-loop during automation, and help them regain si... Read More about A Longitudinal Simulator Study to Explore Drivers’ Behaviour in Level 3 Automated Vehicles.

To Please in a Pod: Employing an Anthropomorphic Agent-Interlocutor to Enhance Trust and User Experience in an Autonomous, Self-Driving Vehicle (2019)
Conference Proceeding
Large, D., Harrington, K., Burnett, G., Luton, J., Thomas, P., & Bennett, P. (2019). To Please in a Pod: Employing an Anthropomorphic Agent-Interlocutor to Enhance Trust and User Experience in an Autonomous, Self-Driving Vehicle. In AutomotiveUI'19 Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (49-59). https://doi.org/10.1145/3342197.3344545

Recognising that one of the aims of conversation is to build, maintain and strengthen positive relationships with others, the study explores whether passengers in an autonomous vehicle display similar behaviour during transactions with an on-board co... Read More about To Please in a Pod: Employing an Anthropomorphic Agent-Interlocutor to Enhance Trust and User Experience in an Autonomous, Self-Driving Vehicle.

Lessons from Oz: design guidelines for automotive conversational user interfaces (2019)
Conference Proceeding
Large, D. R., Burnett, G., & Clark, L. (2019). Lessons from Oz: design guidelines for automotive conversational user interfaces. In AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (335-340). https://doi.org/10.1145/3349263.3351314

This paper draws from literature and our experience of conducting Wizard-of-Oz (WoZ) studies using natural language, conversational user interfaces (CUIs) in the automotive domain. These studies have revealed positive effects of using in-vehicle CUIs... Read More about Lessons from Oz: design guidelines for automotive conversational user interfaces.

"It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car (2019)
Conference Proceeding
Large, D. R., Clark, L., Burnett, G., Harrington, K., Luton, J., Thomas, P., & Bennett, P. (2019). "It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car. In CUI '19 Proceedings of the 1st International Conference on Conversational User Interfaces Article No. 22 (1–7). https://doi.org/10.1145/3342775.3342789

The use of speech has been popularised as a human-vehicle interface in the automotive domain. While this is most often associated with alleviating concerns of driver distraction and cognitive load, the study explores whether the presence of conversat... Read More about "It's small talk, jim, but not as we know it.": engendering trust through human-agent conversation in an autonomous, self-driving car.

Feel the noise: Mid-air ultrasound haptics as a novel human-vehicle interaction paradigm (2019)
Journal Article
Large, D., Harrington, K., Burnett, G., & Georgiou, O. (2019). Feel the noise: Mid-air ultrasound haptics as a novel human-vehicle interaction paradigm. Applied Ergonomics, 81, Article 102909. https://doi.org/10.1016/j.apergo.2019.102909

Focussed ultrasound can be used to create the sensation of touch in mid-air. Combined with gestures, this can provide haptic feedback to guide users, thereby overcoming the lack of agency associated with pure gestural interfaces, and reducing the nee... Read More about Feel the noise: Mid-air ultrasound haptics as a novel human-vehicle interaction paradigm.

Rebuilding Drivers’ Situation Awareness During Take-Over Requests in Level 3 Automated Cars (2019)
Conference Proceeding
White, H., LARGE, D., Salanitri, D., Burnett, G., Lawson, A., & Box, E. (2019). Rebuilding Drivers’ Situation Awareness During Take-Over Requests in Level 3 Automated Cars

Future, level 3 automated vehicles will enable drivers to undertake non-driving-related secondary tasks while the vehicle is in control. This is likely to impair their situation awareness, and consequently affect their ability to resume control in si... Read More about Rebuilding Drivers’ Situation Awareness During Take-Over Requests in Level 3 Automated Cars.