Trust calibration poses a significant challenge in the interaction between drivers and
automated vehicles (AVs) in the context of human-automation collaboration. To effectively …

Trust calibration is essential to prevent misuse and disuse of automated vehicles (AVs).
Accurate measurement and real-time identification of driver trust is an important prerequisite …

Understanding how trust is built over time is essential, as trust plays an important role in the
acceptance and adoption of automated vehicles (AVs). This study aims to investigate the …

Objective This paper proposes an objective method to measure and identify trust-change
directions during takeover transitions (TTs) in conditionally automated vehicles (AVs) …

Under the human-automation codriving future, dynamic trust should be considered. This
paper explored how trust changes over time and how multiple factors (time, trust propensity …

Trust is critical for human-automation collaboration, especially under safety-critical tasks
such as driving. Providing explainable information on how the automation system reaches …

Objective Automated driving is becoming a reality, and such technology raises new
concerns about human–machine interaction on road. This paper aims to investigate factors …

Trust in automated driving systems is crucial for effective driver-(semi) autonomous vehicles
interaction. Drivers that do not trust the system appropriately are not able to leverage its …

Highly Automated Driving technology will be facing major challenges before being
pervasively integrated across production vehicles. One of them will be monitoring drivers' …

Driver assistance systems, also called automated driving systems, allow drivers to immerse
themselves in non-driving-related tasks. Unfortunately, drivers may not trust the automated …