… from manual to automated driving and from automated to manual driving in three different …
, we systematically manipulated the multimodal explanation with three in-vehicle displays—…

… is to suggest the best or worst multimodal designs by comparing the effects of diverse warning
combinations in TOR scenarios in conditionally automated vehicles. The present study is …

… Furthermore, our model is also able to provide explanations about individual prediction … de
Winter, “Take-over again: Investigating multimodal and directional TORs to get the driver back …

… model for real-time assessment of driver SA using multimodal data (eg, galvanic skin …
the remaining 44 participants were used for further analysis. All the participants had a valid …

… We start the analysis of the … in autonomous vehicles through the presence of cameras
and active sensors such as LiDAR. As end-to-end driving model we use branched conditional …

… As a consequence, multimodal combinations that rely on the combination of auditory, visual,
… This analysis aimed to considerate the concerns and perspective of users, suppliers of AV …

… autonomous driving sector, particularly in generalization and interpretability. We introduce a
unique object-level multimodal … language action descriptions and explanations based on a …

… Accurate measurement and real-time identification of driver trust is an … conditionally automated
driving, most researchers utilize self-reported ratings as the ground truth to evaluate driver …

… for the socio-cognitive process of explanation in the domain of di… around concrete conditionally
automated driving situations, … specifically on multimodal Human-Vehicle Interaction model …

… would not be able to take over control successfully, a multi-modal display could be designed
to help the driver realize the urgency of the event, augment situational awareness and …