How do you design personalized user experiences that delight and provide value to the customers of an eCommerce site? Personalization does not guarantee high quality user experience: a personalized user experience has the best chance of success if it is developed using a set of best practices in HCI. In this book 35 experts from academia, industry and government focus on issues in the design of personalized web sites. The topics range from the design and evaluation of user interfaces and tools to information architecture and computer programming related to commercial web sites. The book covers four main areas:
-Theoretical, Conceptual, and Architectural Frameworks of Personalization,
-Research on the Design and Evaluation of Personalized User Experiences in Different Domains,
-Approaches to personalization Through Recommender Systems,
-Lessons Learned and Future Research Questions. This book will be a valuable tool in helping the reader to understand the range of factors to take into consideration in designing and building a personalized user experience. The authors of each of the chapters identify possibilities and alert the reader to issues that can be addressed in the beginning of a project by taking a 'big picture' view of designing personalized user interfaces. For anyone working or studying in the field of HCI, information architecture or eCommerce, this book will provide a solid foundation of knowledge and prepare for the challenges ahead.

How do you design personalized user experiences that delight and provide value to the customers of an eCommerce site? Personalization does not guarantee high quality user experience: a personalized user experience has the best chance of success if it is developed using a set of best practices in HCI. In this book 35 experts from academia, industry and government focus on issues in the design of personalized web sites. The topics range from the design and evaluation of user interfaces and tools to information architecture and computer programming related to commercial web sites. The book covers four main areas:
-Theoretical, Conceptual, and Architectural Frameworks of Personalization,
-Research on the Design and Evaluation of Personalized User Experiences in Different Domains,
-Approaches to personalization Through Recommender Systems,
-Lessons Learned and Future Research Questions. This book will be a valuable tool in helping the reader to understand the range of factors to take into consideration in designing and building a personalized user experience. The authors of each of the chapters identify possibilities and alert the reader to issues that can be addressed in the beginning of a project by taking a 'big picture' view of designing personalized user interfaces. For anyone working or studying in the field of HCI, information architecture or eCommerce, this book will provide a solid foundation of knowledge and prepare for the challenges ahead.

This book is about HCI research in an industrial research setting. It is based on the experiences of two researchers at the IBM T. J. Watson Research Center. Over the last two decades, Drs. John and Clare-Marie Karat have conducted HCI research to create innovative usable technology for users across a variety of domains. We begin the book by introducing the reader to the context of industrial research as well as a set of common themes or guidelines to consider in conducting HCI research in practice. Then case study examples of HCI approaches to the design and evaluation of usable solutions for people are presented and discussed in three domain areas: - item Conversational speech technologies, - item Personalization in eCommerce, and - item Security and privacy policy management technologies In each of the case studies, the authors illustrate and discuss examples of HCI approaches to design and evaluation that worked well and those that did not. They discuss what was learned over time about different HCI methods in practice, and changes that were made to the HCI tools used over time. The Karats discuss trade-offs and issues related to time, resources, and money and the value derived from different HCI methods in practice. These decisions are ones that need to be made regularly in the industrial sector. Similarities and differences with the types of decisions made in this regard in academia will be discussed. The authors then use the context of the three case studies in the three research domains to draw insights and conclusions about the themes that were introduced in the beginning of the book. The Karats conclude with their perspective about the future of HCI industrial research. Table of Contents: Introduction: Themes and Structure of the Book / Case Study 1: Conversational Speech Technologies: Automatic Speech Recognition (ASR) / Case Study 2: Personalization in eCommerce / Case Study 3: Security and Privacy Policy Management Technologies / Insights and Conclusions / The Future of Industrial HCI Research