All Outputs (6)

Design Implications of Drivers’ Engagement with Secondary Activities During Highly-Automated Driving – A Longitudinal Simulator Study (2017)
Conference Proceeding
Large, D. R., Burnett, G. E., Morris, A., Muthumani, A., & Matthias, R. (2017). Design Implications of Drivers’ Engagement with Secondary Activities During Highly-Automated Driving – A Longitudinal Simulator Study.

Highly-automated vehicles will provide the freedom for drivers to engage in secondary activities while the vehicle is in control. However, little is known regarding the nature of activities that drivers will undertake, and how these may impact driver... Read More about Design Implications of Drivers’ Engagement with Secondary Activities During Highly-Automated Driving – A Longitudinal Simulator Study.

Putting the Joy in Driving: Investigating the Use of a Joystick as an Alternative to Traditional Controls within Future Autonomous Vehicles (2017)
Conference Proceeding
Large, D. R., Banks, V., Burnett, G. E., & Margaritis, N. (2017). Putting the Joy in Driving: Investigating the Use of a Joystick as an Alternative to Traditional Controls within Future Autonomous Vehicles. In AutomotiveUI '17: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (31-39). https://doi.org/10.1145/3122986.3122996

Unencumbered by the need to provide permanent manual control, future autonomous vehicles may be absent of traditional driving elements, such as a steering wheel and foot-pedals. While this provides additional space/comfort for drivers, an alternative... Read More about Putting the Joy in Driving: Investigating the Use of a Joystick as an Alternative to Traditional Controls within Future Autonomous Vehicles.

A Longitudinal Simulator Study to Explore Drivers’ Behaviour During Highly-Automated Driving (2017)
Conference Proceeding
Large, D. R., Burnett, G., Morris, A., Muthumani, A., & Matthias, R. (2017). A Longitudinal Simulator Study to Explore Drivers’ Behaviour During Highly-Automated Driving. In N. A. Stanton (Ed.), Advances in Human Aspects of Transportation : Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA7 (583-594). https://doi.org/10.1007/978-3-319-60441-1_57

Six experienced drivers each undertook five 30-min journeys (portrayed as ‘daily commutes’ i.e. one on each of five consecutive weekdays) in a medium-fidelity driving-simulator engineered to mimic a highly-automated vehicle. Participants were encoura... Read More about A Longitudinal Simulator Study to Explore Drivers’ Behaviour During Highly-Automated Driving.

Exploring the Behaviour of Distracted Drivers during Different Levels of Automation in Driving (2017)
Conference Proceeding
Large, D., Banks, V., Burnett, G., Baverstock, S., & Skrypchuk, L. (2017). Exploring the Behaviour of Distracted Drivers during Different Levels of Automation in Driving

Increased levels of automation in driving can reduce drivers’ situation-awareness and cause erratic changes to workload and skills degradation following prolonged exposure. In addition, drivers (particularly those who are vulnerable to the onset of b... Read More about Exploring the Behaviour of Distracted Drivers during Different Levels of Automation in Driving.

A predictive model of the visual demand associated with in-vehicle touchscreens (2017)
Conference Proceeding
Large, D., Burnett, G., Crundall, E., van Loon, E., Eren, A., & Skrypchuk, L. (2017). A predictive model of the visual demand associated with in-vehicle touchscreens

Touchscreen-HMIs are increasingly popular within vehicles. Understanding the likely visual demand of new designs is therefore important but typically requires time-consuming and costly testing with functioning prototypes. Theoretical modelling allows... Read More about A predictive model of the visual demand associated with in-vehicle touchscreens.

Stimulating Conversation: Engaging Drivers in Natural Language Interactions with an Autonomous Digital Driving Assistant to Counteract Passive Task-Related Fatigue (2017)
Conference Proceeding
Large, D., Burnett, G., Antrobus, V., & Skrypchuk, L. (2017). Stimulating Conversation: Engaging Drivers in Natural Language Interactions with an Autonomous Digital Driving Assistant to Counteract Passive Task-Related Fatigue

Engaging in conversation has been shown to be an effective countermeasure to passive task-related fatigue. To investigate the effectiveness of a digital assistant to fulfil the role of conversational partner in counteracting driver fatigue, twenty pa... Read More about Stimulating Conversation: Engaging Drivers in Natural Language Interactions with an Autonomous Digital Driving Assistant to Counteract Passive Task-Related Fatigue.