Overview

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 in 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.  

Full Product Details

Author:   Andreas Riener ,  Myounghoon Jeon ,  Ignacio Alvarez
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   980
Weight:   0.943kg
ISBN:  

9783030777289

ISBN 10:   3030777286
Pages:   587
Publication Date:   22 December 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Automation, Situation Awareness and Mental Workload.- Trust in Automated Vehicles.- Acceptance of Autonomous Vehicles: An Overview 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.- 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.- 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: Approaches from Different Perspectives.- Multimodal Displays for Takeover Requests.

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