The last few years have seen a wealth of research on external human–machine interfaces
(eHMIs). It has been argued that eHMIs are vital because they fill the social interaction void …

Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …

With the level of automation increases in vehicles, such as conditional and highly automated
vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in …

It is extremely important to ensure a safe takeover transition in conditionally automated
driving. One of the critical factors that quantifies the safe takeover transition is takeover time …

Despite the benefits of automated vehicles (AVs), there are still barriers to their widespread
adoption. Expectations about AVs have been identified as one of the most important factors …

Several researchers have focused on studying driver cognitive behavior and mental load for
in-vehicle interaction while driving. Adaptive interfaces that vary with mental and perceptual …

Infrastructure-mounted sensors that monitor roads can provide essential information for
manual drivers and automated vehicles, eg, positions of other vehicles occluded by …

Research indicates that monotonous automated driving increases the incidence of fatigued
driving. Although many prediction models based on advanced machine learning techniques …

Lane change is a highly demanding driving task. A number of traffic accidents are induced
by erroneous maneuvers. An automated lane-change system has the potential to reduce the …

Trust in automation has been mainly studied in the cognitive perspective, though some
researchers have shown that trust is also influenced by emotion. Therefore, it is essential to …