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Human-Computer Interaction
An Empirical Research Perspective
1st Edition - December 31, 2012
Author: I. Scott MacKenzie
Paperback ISBN:
9 7 8 - 0 - 1 2 - 4 0 5 8 6 5 - 1
eBook ISBN:
9 7 8 - 0 - 1 2 - 4 0 7 1 6 5 - 0
Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including historical… Read more
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Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, you'll progress to learning about the methods for conducting an experiment to evaluate a new computer interface or interaction technique. There are detailed discussions and how-to analyses on models of interaction, focusing on descriptive models and predictive models. Writing and publishing a research paper is explored with helpful tips for success. Throughout the book, you'll find hands-on exercises, checklists, and real-world examples. This is your must-have, comprehensive guide to empirical and experimental research in HCI—an essential addition to your HCI library.
- Master empirical and experimental research with this comprehensive, A-to-Z guide in a concise, hands-on reference
- Discover the practical and theoretical ins-and-outs of user studies
- Find exercises, takeaway points, and case studies throughout
HCI/UX researchers and professionals interested in user studies, as well as university students in academia and industry human-computer interaction
Preface
Acknowledgments
Author Biography
Chapter 1. Historical Context
1.1 Introduction
1.2 Vannevar Bush’s “as we may think” (1945)
1.3 Ivan Sutherland’s Sketchpad (1962)
1.4 Invention of the mouse (1963)
1.5 Xerox star (1981)
1.6 Birth of HCI (1983)
1.7 Growth of HCI and graphical user interfaces (GUIs)
1.8 Growth of HCI research
1.9 Other readings
1.10 Resources
Chapter 2. The Human Factor
2.1 Time scale of human action
2.2 Human factors
2.3 Sensors
2.4 Responders
2.5 The brain
2.6 Language
2.7 Human performance
Chapter 3. Interaction Elements
3.1 Hard controls and soft controls
3.2 Control-display relationships
3.3 Natural versus learned relationships
3.4 Mental models and metaphor
3.5 Modes
3.6 More about degrees of freedom
3.7 Mobile context
3.8 Interaction errors
Chapter 4. Scientific Foundations
4.1 What is research?
4.2 What is empirical research?
4.3 Research methods
4.4 Observe and measure
4.5 Research questions
4.6 Internal validity and external validity
4.7 Comparative evaluations
4.8 Relationships: circumstantial and causal
4.9 Research topics
Chapter 5. Designing HCI Experiments
5.1 What methodology?
5.2 Ethics approval
5.3 Experiment design
5.4 Independent variables
5.5 Dependent variables
5.6 Other variables
5.7 Task and procedure
5.8 Participants
5.9 Questionnaire design
5.10 Within-subjects and between-subjects
5.11 Order effects, counterbalancing, and latin squares
5.12 Group effects and asymmetric skill transfer
5.13 Longitudinal studies
5.14 Running the experiment
Chapter 6. Hypothesis Testing
6.1 Analysis of variance
6.2 Chi-square test
6.3 Non-parametric tests for ordinal data
6.4 Parametric versus non-parametric tests
Chapter 7. Modeling Interaction
7.1 Descriptive models
7.2 Predictive models
7.3 A model continuum model
Chapter 8. Writing and Publishing a Research Paper
8.1 Conference papers, journal papers
8.2 Parts of a research paper
8.3 Preparing the manuscript
References
Appendix
Software on this book’s website
Index
- No. of pages: 370
- Language: English
- Edition: 1
- Published: December 31, 2012
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780124058651
- eBook ISBN: 9780124071650
IM
I. Scott MacKenzie
I. Scott MacKenzie is Associate Professor of Computer Science and Engineering at York University, Canada. For the past 30 years, MacKenzie has been an active member of the human-computer interaction (HCI) research community, with over 130 peer-reviewed publications, including more than 30 papers in the Association for Computing Machinery Conference on Human Factors in Computing Systems (ACM SIGCHI) conference proceedings. MacKenzie’s interests include human
performance measurement and modeling, interaction devices and techniques, text entry, mobile computing, accessible computing, touch-based interaction, eye tracking, and experimental methodology.
Affiliations and expertise
Associate Professor of Computer Science and Engineering at York University, Toronto, Ontario, Canada