This book offers a new method for aligning brand management and user experience goals. Brand management deals with conveying individual brand values at all marketing contact points, the goal being to reach the target group and boost customer retention. In this regard, it is important to consider the uniqueness of each brand and its identity so as to design pleasurable and high-quality user experiences.

Combining insights from science and practice, the authors present a strategy for using interaction patterns, visual appearance, and animations to validate the actual brand values that are experienced by users while interacting with a digital product. Further, they introduce a ''UX identity scale'' by assigning brand values to UX related psychological needs. The method applied is subsequently backed by theoretical concepts and illustrated with practical examples and case studies on real-world mobile applications.

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.

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.

This book offers a new method for aligning brand management and user experience goals. Brand management deals with conveying individual brand values at all marketing contact points, the goal being to reach the target group and boost customer retention. In this regard, it is important to consider the uniqueness of each brand and its identity so as to design pleasurable and high-quality user experiences.

Combining insights from science and practice, the authors present a strategy for using interaction patterns, visual appearance, and animations to validate the actual brand values that are experienced by users while interacting with a digital product. Further, they introduce a ''UX identity scale'' by assigning brand values to UX related psychological needs. The method applied is subsequently backed by theoretical concepts and illustrated with practical examples and case studies on real-world mobile applications.

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.

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.