Outputs (7)

U can’t touch this! Face touching behaviour whilst driving: implications for health, hygiene and human factors (2021)
Journal Article
Ralph, F., Large, D. R., Burnett, G., Lang, A., & Morris, A. (2022). U can’t touch this! Face touching behaviour whilst driving: implications for health, hygiene and human factors. Ergonomics, 65(7), 943-959. https://doi.org/10.1080/00140139.2021.2004241

Analysis of thirty-one hours of video-data documenting 36 experienced drivers highlighted the prevalence of face-touching, with 819 contacts identified (mean frequency: 26.4 face touches/hour (FT/h); mean duration: 3.9-seconds). Fewer face-touches oc... Read More about U can’t touch this! Face touching behaviour whilst driving: implications for health, hygiene and human factors.

Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach (2021)
Presentation / Conference Contribution
Merriman, S., Large, D., Pampel, S., & Burnett, G. (2021, October). Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach. Presented at 7th International Conference on Driver Distraction and Inattention (DDI2021), Lyon, France

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.

What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study (2021)
Presentation / Conference Contribution
Cortez, D., Large, D., & Burnett, G. (2021, October). What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study. Presented at 7th International Conference on Driver Distraction and Inattention (DDI2021), Lyon, France

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.

Isolating the Effect of Off-Road Glance Duration on Driving Performance: An Exemplar Study Comparing HDD and HUD in Different Driving Scenarios (2021)
Journal Article
Smith, M., Bagalkotkar, K., Gabbard, J. L., Large, D. R., & Burnett, G. (2021). Isolating the Effect of Off-Road Glance Duration on Driving Performance: An Exemplar Study Comparing HDD and HUD in Different Driving Scenarios. Human Factors, 65(5), 833-845. https://doi.org/10.1177/00187208211031416

Objective: We controlled participants’ glance behavior while using head-down displays (HDDs) and head-up displays (HUDs) to isolate driving behavioral changes due to use of different display types across different driving environments. Background: Re... Read More about Isolating the Effect of Off-Road Glance Duration on Driving Performance: An Exemplar Study Comparing HDD and HUD in Different Driving Scenarios.

Exploring the benefits of conversing with a digital voice assistant during automated driving: A parametric duration model of takeover time (2021)
Journal Article
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. Transportation Research Part F: Traffic Psychology and Behaviour, 80, 104-126. https://doi.org/10.1016/j.trf.2021.03.012

Vehicle automation allows drivers to disengage from driving causing a potential decline in their alertness. One of the major challenges of highly automated vehicles is to ensure a timely (with respect to safety and situation awareness) takeover in su... Read More about Exploring the benefits of conversing with a digital voice assistant during automated driving: A parametric duration model of takeover time.

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.

Exploring the Benefits of Conversing with a Digital Voice Assistant during Automated Driving: A Parametric Duration Model of Takeover Time (2021)
Presentation / Conference Contribution
Mahajan, K., Large, D., Burnett, G., & Velaga, N. (2021, January). Exploring the Benefits of Conversing with a Digital Voice Assistant during Automated Driving: A Parametric Duration Model of Takeover Time. Presented at Transportation Research Board (TRB) 100th Annual Meeting, Virtual/online

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.