A revision of the #1 text in the Human Computer Interaction field, Interaction Design, the third edition is an ideal resource for learning the interdisciplinary skills needed for interaction design, human-computer interaction, information design, web design and ubiquitous computing. The authors are acknowledged leaders and educators in their field, with a strong global reputation. They bring depth of scope to the subject in this new edition, encompassing the latest technologies and devices including social networking, Web 2.0 and mobile devices. The third edition also adds, develops and updates cases, examples and questions to bring the book in line with the latest in Human Computer Interaction. Interaction Design offers a cross-disciplinary, practical and process-oriented approach to Human Computer Interaction, showing not just what principles ought to apply to Interaction Design, but crucially how they can be applied. The book focuses on how to design interactive products that enhance and extend the way people communicate, interact and work. Motivating examples are included to illustrate both technical, but also social and ethical issues, making the book approachable and adaptable for both Computer Science and non-Computer Science users. Interviews with key HCI luminaries are included and provide an insight into current and future trends. The book has an accompanying website www.id-book.com which has been updated to include resources to match the new edition.
1. What is interaction design? 1.1 Introduction 1.2 Good and poor design 1.3 What is interaction design? 1.4 The user experience 1.5 The process of interaction design 1.6 Interaction design and the user experience 2. Understanding and conceptualizing interaction 2.1 Introduction 2.2 Understanding the problem space and conceptualizing design 2.3 Conceptual models 2.4 Interface metaphors 2.5 Interaction types 2.6 Paradigms, theories, models, and frameworks 3. Cognitive aspects 3.1 Introduction 3.2 What is cognition? 3.3 Cognitive frameworks 4. Social interaction 4.1 Introduction 4.2 Being social 4.3 Face-to-face conversations 4.4 Remote conversations 4.5 Telepresence 4.6 Co-presence 4.7 Emergent social phenomena 5. Emotional interaction 5.1 Introduction 5.2 Emotions and the user experience 5.3 Expressive interfaces 5.4 Frustrating interfaces 5.5 Persuasive technologies and behavioural change 5.6 Anthropomorphism and zoomorphism 5.7 Models of emotion 6. Interfaces 6.1 Introduction 6.2 Interface types 6.3 Natural user interfaces 6.4 Which interface? 7. Data gathering 7.1 Introduction 7.2 Five key issues 7.3 Data recording 7.4 Interviews 7.5 Questionnaires 7.6 Observation 7.7 Choosing and combining techniques 8. Data analysis, interpretation, and presentation 8.1 Introduction 8.2 Qualitative and quantitative 8.3 Simple quantitative analysis 8.4 Simple qualitative analysis 8.5 Tools to support data analysis 8.6 Using theoretical frameworks 8.7 Presenting the findings 9. The process of interaction design 9.1 Introduction 9.2 What is involved in interaction design? 9.3 Some practical issues 10. Establishing requirements 10.1 Introduction 10.2 What, How, and Why? 10.3 What are requirements? 10.4 Data gathering for requirements 10.5 Data analysis, interpretation, and presentation 10.6 Task description 10.7 Task analysis 11. Design, prototyping, and construction 11.1 Introduction 11.2 Prototyping and construction 11.3 Conceptual design: moving from requirements to first design 11.4 Physical design: getting concrete 11.5 Using scenarios in design 11.6 Using prototypes in design 11.7 Support for design 12. Introducing evaluation 12.1 Introduction 12.2 The why, what, where, and when of evaluation 12.3 Types of evaluation 12.4 Evaluation case studies 12.5 What did we learn from the case studies? 13. An evaluation framework 13.1 Introduction 13.2 DECIDE: A framework to guide evaluation 14. Evaluation Studies: From Controlled to Natural Settings 14.1 Introduction 14.2 Usability testing 14.3 Experiments 14.4 Field studies 15. Evaluation: Inspections, Analytics and Models 15.1 Introduction 15.2 Inspections: heuristic evaluation and walkthroughs 15.3 Analytics 15.4 Predictive models