All Outputs (5)

Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach (2021)
Conference Proceeding

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)
Conference Proceeding

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.

Driver Perception Using A Camera-Based Digital Side Mirror: An On-Road Study (2021)
Conference Proceeding

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

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

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.