All Outputs (45)

In two minds: distractive and protective effects of passengers in automated vehicles (2024)
Conference Proceeding
LARGE, D., Harvey, C., Shaw, E., Khandeparker, S., Burnett, G., & Box, E. (in press). In two minds: distractive and protective effects of passengers in automated vehicles.

We highlight exemplar behaviours elicited through the observation of driver-passenger interactions in a multiple journey driving simulator study, demonstrating both distractive and protective effects when a front-seat passenger is present during SAE... Read More about In two minds: distractive and protective effects of passengers in automated vehicles.

I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication (2023)
Conference Proceeding
Large, D. R., Hallewell, M., Li, X., Harvey, C., & Burnett, G. (2023). I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication. In AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (127-132). https://doi.org/10.1145/3581961.3609883

We employed the 'Ghost Driver' methodology to emulate an autonomous vehicle (AV) and explored pedestrians' (n=520) crossing behaviour in response to external human-machine interfaces (eHMIs). Three eHMI designs were created to replace absent pedestri... Read More about I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication.

Ghost Busting: A Novel On-Road Exploration of External HMIs for Autonomous Vehicles (2023)
Conference Proceeding
Large, D. R., Hallewell, M., Li, X., Harvey, C., & Burnett, G. (2023). Ghost Busting: A Novel On-Road Exploration of External HMIs for Autonomous Vehicles.

The absence of a human driver in future autonomous vehicles means that explicit pedestrian-driver communication is not possible. Building on the novel ‘Ghost Driver’ methodology to emulate an autonomous vehicle, we developed prototype external human-... Read More about Ghost Busting: A Novel On-Road Exploration of External HMIs for Autonomous Vehicles.

“Who’s Got the Remote Control?” Understanding Driver Distraction and Inattention in the Context of Teleoperation and the Passenger Experience (2022)
Conference Proceeding
Coffey, M., Hallewell, M., LARGE, D., Harvey, C., & Burnett, G. (2022). “Who’s Got the Remote Control?” Understanding Driver Distraction and Inattention in the Context of Teleoperation and the Passenger Experience. In DDI 2022 Gothenburg, Lindholmen Convference Centre & online October 19-20, 2022 : Abstract book

The remote operation of automated vehicles (‘teleoperation’) has been posited as a potential solution for situations in which human intervention is required, but creates new challenges for ‘driver’ distraction and inattention. Guided by the critical... Read More about “Who’s Got the Remote Control?” Understanding Driver Distraction and Inattention in the Context of Teleoperation and the Passenger Experience.

Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study (2022)
Conference Proceeding
Wilson, H., LARGE, D., & Burnett, G. (2022). Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study.

Theoretical techniques to model and predict drivers’ visual behaviour during the execution of secondary in- vehicle tasks, such as the extended keystroke level model (eKLM), are predicated on perfect task resumability during the interleaving of atten... Read More about Deriving Extended Keystroke Level Model Resumability Operators: An Occlusion Study.

Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles (2022)
Conference Proceeding
Jestin, I., Fischer, J., Galvez Trigo, M. J., Large, D. R., & Burnett, G. (2022). Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles. In CUI '22: Proceedings of the 4th Conference on Conversational User Interfaces (1-11). https://doi.org/10.1145/3543829.3543836

Voice assistants in future autonomous vehicles may play a major role in supporting the driver during periods of a transfer of control with the vehicle (handover and handback). However, little is known about the effects of different qualities of the v... Read More about Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles.

What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study (2021)
Conference Proceeding
Cortez, D., Large, D., & Burnett, G. (2021). What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study.

Automated vehicles (AVs) are expected to improve road safety by reducing the number of collisions and safety critical events [1,2]. In the event of a failure of the automated driving system (ADS), or if it reaches the limit of its capability, action... Read More about What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study.

Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach (2021)
Conference Proceeding
Merriman, S., Large, D., Pampel, S., & Burnett, G. (2021). Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach.

Simulators are commonly employed for conducting driving-related research due to their increased flexibility, safety and control compared to on-the-road studies [1]. However, concerns have been raised regarding the validity of the approach, that is, t... Read More about Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach.

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.

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.

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.

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.

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.

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.

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.

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.

"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.

Improving the effectiveness of active safety systems to significantly reduce accidents with vulnerable road users - the Project PROSPECT (Proactive Safety for Pedestrians and Cyclists) (2019)
Conference Proceeding
Cieslik, I., Kovaceva, J., Bruyas, M., Large, D., Kunert, M., Krebs, S., & Arbitmann, M. (2019). Improving the effectiveness of active safety systems to significantly reduce accidents with vulnerable road users - the Project PROSPECT (Proactive Safety for Pedestrians and Cyclists)

Accidents involving Vulnerable Road Users (VRU) are still a very significant issue for road safety. ´PROactive Safety for PEdestrians and CyclisTs´ is a collaborative research project funded by the European Commission. The objective of PROSPECT was t... Read More about Improving the effectiveness of active safety systems to significantly reduce accidents with vulnerable road users - the Project PROSPECT (Proactive Safety for Pedestrians and Cyclists).

Comparing the Efficacy of Visual and Verbal Guidance for a Target Car-Seat Posture (2019)
Conference Proceeding
Hope, A., Burnett, G., Large, D., & Millen-Dutka, L. (2019). Comparing the Efficacy of Visual and Verbal Guidance for a Target Car-Seat Posture

Car seats are becoming increasingly complex, aiming to promote driver wellbeing and comfort, and overcome musculoskeletal problems caused by poor driving posture and extended exposure. With an increasing amount of adjustments available, the navigatio... Read More about Comparing the Efficacy of Visual and Verbal Guidance for a Target Car-Seat Posture.