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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010372334 | QA76.9.H85 P72 2019 | Open Access Book | Book | Searching... |
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Summary
Summary
A new edition of the #1 text in the human computer Interaction field!
Hugely popular with students and professionals alike, the Fifth Edition of Interaction Design is an ideal resource for learning the interdisciplinary skills needed for interaction design, human-computer interaction, information design, web design, and ubiquitous computing. New to the fifth edition: a chapter on data at scale, which covers developments in the emerging fields of 'human data interaction' and data analytics. The chapter demonstrates the many ways organizations manipulate, analyze, and act upon the masses of data being collected with regards to human digital and physical behaviors, the environment, and society at large.
Revised and updated throughout, this edition offers a cross-disciplinary, practical, and process-oriented, state-of-the-art introduction to the field, showing not just what principles ought to apply to interaction design, but crucially how they can be applied.
Explains how to use design and evaluation techniques for developing successful interactive technologies Demonstrates, through many examples, the cognitive, social and affective issues that underpin the design of these technologies Provides thought-provoking design dilemmas and interviews with expert designers and researchers Uses a strong pedagogical format to foster understanding and enjoymentAn accompanying website contains extensive additional teaching and learning material including slides for each chapter, comments on chapter activities, and a number of in-depth case studies written by researchers and designers.
Author Notes
Helen Sharp is Professor of Software Engineering and Associate Dean at the Open University.
Jennifer Preece is a Professor and Dean Emerita in the College of Information Studies - Maryland's iSchool - at the University of Maryland in the USA.
Yvonne Rogers is the Director of the Interaction Center at University College London as well as a Professor of Interaction Design.
Table of Contents
What's Inside? | p. xvii |
1 What is interaction design? | p. 1 |
1.1 Introduction | p. 1 |
1.2 Good and Poor Design | p. 2 |
1.3 What Is Interaction Design? | p. 9 |
1.4 The User Experience | p. 13 |
1.5 Understanding Users | p. 15 |
1.6 Accessibility and Inclusiveness | p. 17 |
1.7 Usability and User Experience Goals | p. 19 |
Interview with Harry Brignull | p. 34 |
2 The Process of Interaction Design | p. 37 |
2.1 Introduction | p. 37 |
2.2 What Is Involved in Interaction Design? | p. 38 |
2.3 Some Practical Issues | p. 55 |
3 Conceptualizing Interaction | p. 69 |
3.1 Introduction | p. 69 |
3.2 Conceptualizing Interaction | p. 71 |
3.3 Conceptual Models | p. 74 |
3.4 Interface Metaphors | p. 78 |
3.5 Interaction Types | p. 81 |
3.6 Paradigms, Visions, Theories, Models, and Frameworks | p. 88 |
Interview with Albrecht Schmidt | p. 97 |
4 Cognitive Aspects | p. 101 |
4.1 Introduction | p. 101 |
4.2 What Is Cognition? | p. 102 |
4.3 Cognitive Frameworks | p. 123 |
5 Social Interaction | p. 135 |
5.1 Introduction | p. 135 |
5.2 Being Social | p. 136 |
5.3 Face-to-Face Conversations | p. 139 |
5.4 Remote Conversations | p. 143 |
5.5 Co-presence | p. 150 |
5.6 Social Engagement | p. 158 |
6 Emotional Interaction | p. 165 |
6.1 Introduction | p. 165 |
6.2 Emotions and the User Experience | p. 166 |
6.3 Expressive Interfaces and Emotional Design | p. 172 |
6.4 Annoying Interfaces | p. 174 |
6.5 Affective Computing and Emotional Al | p. 179 |
6.6 Persuasive Technologies and Behavioral Change | p. 182 |
6.7 Anthropomorphism | p. 187 |
7 Interfaces | p. 193 |
7.1 Introduction | p. 193 |
7.2 Interface Types | p. 194 |
7.3 Natural User Interfaces and Beyond | p. 252 |
7.4 Which Interface? | p. 253 |
Interview with Leah Buechley | p. 257 |
8 Data Gathering | p. 259 |
8.1 Introduction | p. 259 |
8.2 Five Key Issues | p. 260 |
8.3 Data Recording | p. 266 |
8.4 Interviews | p. 268 |
8.5 Questionnaires | p. 278 |
8.6 Observation | p. 287 |
8.7 Choosing and Combining Techniques | p. 300 |
9 Data Analysis, Interpretation, and Presentation | p. 307 |
9.1 Introduction | p. 307 |
9.2 Quantitative and Qualitative | p. 308 |
9.3 Basic Quantitative Analysis | p. 311 |
9.4 Basic Qualitative Analysis | p. 320 |
9.5 Which Kind of Analytic Framework to Use? | p. 329 |
9.6 Tools to Support Data Analysis | p. 341 |
9.7 Interpreting and Presenting the Findings | p. 342 |
10 Data at Scale | p. 349 |
10.1 Introduction | p. 349 |
10.2 Approaches to Collecting and Analyzing Data | p. 351 |
10.3 Visualizing and Exploring Data | p. 366 |
10.4 Ethical Design Concerns | p. 375 |
11 Discovering Requirements | p. 385 |
11.1 Introduction | p. 385 |
11.2 What, How, and Why? | p. 386 |
11.3 What Are Requirements? | p. 387 |
11.4 Data Gathering for Requirements | p. 395 |
11.5 Bringing Requirements to Life: Personas and Scenarios | p. 403 |
11.6 Capturing Interaction with Use Cases | p. 415 |
Interview with Ellen Gottesdiener | p. 418 |
12 Design, Prototyping, and Construction | p. 421 |
12.1 Introduction | p. 421 |
12.2 Prototyping | p. 422 |
12.3 Conceptual Design | p. 434 |
12.4 Concrete Design | p. 445 |
12.5 Generating Prototypes | p. 447 |
12.6 Construction | p. 457 |
Interview with Jon Froehlich | p. 466 |
13 Interaction Design in Practice | p. 471 |
13.1 Introduction | p. 471 |
13.2 AgileUX | p. 473 |
13.3 Design Patterns | p. 484 |
13.4 Open Source Resources | p. 489 |
13.5 Tools for Interaction Design | p. 491 |
14 Introducing Evaluation | p. 495 |
14.1 Introduction | p. 495 |
14.2 The Why, What, Where, and When of Evaluation | p. 496 |
14.3 Types of Evaluation | p. 500 |
14.4 Evaluation Case Studies | p. 507 |
14.5 What Did We Learn from the Case Studies? | p. 514 |
14.6 Other Issues to Consider When Doing Evaluation | p. 516 |
15 Evaluation Studies: From Controlled to Natural Settings | p. 523 |
15.1 Introduction | p. 523 |
15.2 Usability Testing | p. 524 |
15.3 Conducting Experiments | p. 533 |
15.4 Field Studies | p. 536 |
16 Evaluation: Inspections, Analytics, and Models | p. 549 |
16.1 Introduction | p. 549 |
16.2 Inspections: Heuristic Evaluation and Walk-Throughs | p. 550 |
16.3 Analytics and A/B Testing | p. 567 |
16.4 Predictive Models | p. 576 |
References | p. 581 |
Index | p. 619 |