Objective This study investigated the use of human performance modeling (HPM) approach
for prediction of driver behavior and interactions with in-vehicle technology. Background …

To improve the driving performance of vehicles, it is of great significance to study the
changes in the driver's brain cognition during driving and to establish an intelligent driving …

Driving on horizontal, curved roads requires much research attention because it tends to
result in more accidents compared to driving on straight roads. Several studies have found …

In semi-automated vehicles, non-speech sounds have been prevalently used as auditory
displays for control transitions since these sounds convey urgency well. However, there are …

As semi-automated vehicles become more available to the general public, it is important to
investigate human factors, including both the driver side and the interface side. Despite …

Existing driver models mainly account for drivers' responses to visual cues in manually
controlled vehicles. The present study is one of the few attempts to model drivers' responses …

The benefits of interaction techniques in extended reality (XR) have been investigated over
the years. However, less attention has been given to comparing different methods to …

In semi-autonomous vehicles (SAE level 3) that require driver's engagement in critical
situations, it is important to secure reliable control transitions. There have been many studies …

To help enhance safety and reduce crashes occurred on horizontal curved roads, it is
important to understand their potential causes. The study reported in this paper aimed to …

Driving is a necessary part of modern life and the meaning of a vehicle has been diversified.
Vehicles serve as a means of travel, transportation, and entertainment and are now evolving …