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, the book progresses to 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, readers will find hands-on exercises, checklists, and real-world examples. This is a must-have, comprehensive guide to empirical and experimental research in HCI – an essential addition to your HCI library.

Provides a master, A-to-Z guide in a concise, hands-on reference
Presents the practical and theoretical ins-and-outs of user studies
Includes exercises, takeaway points, and case studies throughout
Updated to incorporate developments in HCI, including Human performance outliers, Interaction elements: pointing and selecting; text input; gesture input

About the Author

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.

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