Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …

The technology for autonomous vehicles (AVs) has been advancing rapidly and is expected
to cause systematic changes in our modes of travel. An increasing number of studies have …

Purpose While artificial intelligence (AI) has shown its promise in assisting human decision,
there exist barriers to adopting AI for decision-making. This study aims to identify barriers in …

Many nations' transportation strategies have highlighted the potential of autonomous
vehicles and have made plans to slowly phase them into societies over the next decade …

Despite the recent advancement in speech emotion recognition (SER) within a single corpus
setting, the performance of these SER systems degrades significantly for cross-corpus and …

Driver state monitoring (DSM) systems aim to measure driver/occupant state, considering
factors such as fatigue, workload, attentiveness, and wellbeing. They are influential for some …

Automotive user interface (AUI) evaluation becomes increasingly complex due to novel
interaction modalities, driving automation, heterogeneous data, and dynamic environmental …

Recent technological advancements have enabled the development of smarter (more
automated) and more intelligent (adaptable) environments. To understand what factors lead …

With a growing amount of assistance and infotainment systems, drivers' experiences are
increasingly affected by in-vehicle technology. Accordingly, to enhance drivers' well-being …

In several countries around the world, the ageing of their populations is accelerating. As
middle-aged and elderly people get older, their physical functions gradually decline, and …