Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …
the last two decades. There is increasing interest in the field as the deployment of …
TimelyTale: A Multimodal Dataset Approach to Assessing Passengers' Explanation Demands in Highly Automated Vehicles
Explanations in automated vehicles enhance passengers' understanding of vehicle decision-
making, mitigating negative experiences by increasing their sense of control. These …
making, mitigating negative experiences by increasing their sense of control. These …
[HTML][HTML] Visualizing imperfect situation detection and prediction in automated vehicles: Understanding users' perceptions via user-chosen scenarios
User acceptance is essential for successfully introducing automated vehicles (AVs).
Understanding the technology is necessary to overcome skepticism and achieve …
Understanding the technology is necessary to overcome skepticism and achieve …
User Experience Evaluation Methods in Mixed Reality Environments
Interest in the metaverse and telepresence has sparked technological advancements,
enabling us to extend our perceived reality with off-the-shelf devices. Particularly, we shall …
enabling us to extend our perceived reality with off-the-shelf devices. Particularly, we shall …
Physiological Indices to Predict Driver Situation Awareness in VR
Understanding drivers' states is essential for providing personalized interventions and
adaptive feedback in vehicles, thereby ensuring safer driving and a more comfortable driver …
adaptive feedback in vehicles, thereby ensuring safer driving and a more comfortable driver …
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
The end-to-end learning pipeline is gradually creating a paradigm shift in the ongoing
development of highly autonomous vehicles, largely due to advances in deep learning, the …
development of highly autonomous vehicles, largely due to advances in deep learning, the …
[HTML][HTML] A Testing and Evaluation Method for the Car-Following Models of Automated Vehicles Based on Driving Simulator
Y Zhang, Y Shao, X Shi, Z Ye - Systems, 2024 - mdpi.com
The continuous advancement of connected and automated driving technologies has
garnered considerable public attention regarding the safety and reliability of automated …
garnered considerable public attention regarding the safety and reliability of automated …
Adaptive In-Vehicle Virtual Reality for Reducing Motion Sickness: Manipulating Passenger Posture During Driving Events
The rise of autonomous vehicles (AVs) has promoted the adoption of in-vehicle virtual reality
(VR) for creating immersive experiences. However, these experiences can trigger motion …
(VR) for creating immersive experiences. However, these experiences can trigger motion …
Trust Development and Explainability: A Longitudinal Study with a Personalized Assistive System
S Zafari, J de Pagter, G Papagni, A Rosenstein… - Multimodal …, 2024 - mdpi.com
This article reports on a longitudinal experiment in which the influence of an assistive
system's malfunctioning and transparency on trust was examined over a period of seven …
system's malfunctioning and transparency on trust was examined over a period of seven …
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles
Autonomous vehicles often make complex decisions via machine learning-based predictive
models applied to collected sensor data. While this combination of methods provides a …
models applied to collected sensor data. While this combination of methods provides a …