Human-Computer Interaction

Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including an historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, readers will 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, 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

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.