Riener A., Jeon M., Alvarez I. (Eds.) User Experience Design in the Era of Automated Driving

Springer Nature, 2022. — 602 p. — (Studies in Computational Intelligence 980). — ISBN: 978-3-030-77725-8.This book is dedicated to user experience design for automated driving to address humane aspects of automated driving, e.g., workload, safety, trust, ethics, and acceptance.Automated driving has experienced a major development boost in recent years. However, most of the research and implementation has been technology-driven, rather than human-centered. The levels of automated driving have been poorly defined and inconsistently used. A variety of application scenarios and restrictions has been ambiguous.Also, it deals with human factors, design practices, and methods, as well as applications, such as multimodal infotainment, virtual reality, augmented reality, and interactions with and outside users.
This book aims at 1) providing engineers, designers, and practitioners with a broad overview of the state-of-the-art user experience research in automated driving to speed up the implementation of automated vehicles and 2) helping researchers and students benefit from various perspectives and approaches to generate new research ideas and conduct more integrated research.Fundamentals of User Experience Design for Automated Driving.
Automation, Situation Awareness, and Mental Workload.
Trust in Automated Vehicles.
Acceptance of Autonomous Vehicles: An Overview of User-Specific, Car-Specific and Contextual Determinants.Acceptance of Autonomous Vehicles: AnOverview of User-Specific,
Car-Specific and Contextual Determinants.
Driver Emotions in Automated Vehicles.
Ethical Issues in Automated Driving — Opportunities, Dangers, and Obligations.
The Problem of Motion Sickness and Its Implications for Automated Driving.
Assessment and Profiling of Driving Style and Skills.
User Experience Design Methods and Methodologies.
Evaluating Automated Vehicle Human – -Machine Interfaces and the Relationship Between Preference and Performance Measures.
Novel User Experiences and Human-Centered Development in Vehicle Design.
The “DAUX Framework”: A Need-Centered Development Approach to Promote Positive User Experience in the Development of Driving Automation.
UX Design for Automated Driving: Industry Perspective.
Attentive User Interfaces: Adaptive Interfaces that Monitor and Manage Driver Attention.
UX Research and Sonic Interaction: Towards Human-Centric and Intuitive Sound Interaction Design in the Context of Autonomous Driving.
Driving Style Recognition Based on Naturalistic Driving: Volatilities, Decision-Making, and Safety Performances.
User Interfaces and User Interactions in Automated Vehicles Multimodal Displays for Takeover Requests.
Infotainment (Displays & Controls) I: Haptics/Ultrasound.
Augmented, Virtual, and Mixed Reality Passenger Experiences.
Inception of Perception — Augmented Reality in Virtual Reality: Prototyping Human – Machine Interfaces for Automated Driving.
In-situ analysis of Behavior Patterns and User Experience of Automated Shuttle Bus Users.
Interactions of Automated Vehicles with Road Users.