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 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 referenceDiscover the practical and theoretical ins-and-outs of user studiesFind exercises, takeaway points, and case studies throughout

Autorentext
I. Scott MacKenzie is Associate Professor of Computer Science and Engineering at York University, Canada. For the past 25 years, MacKenzie has been an active member of the HCI research community, with over 130 peer-reviewed publications (including more than 30 papers in the 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.

Inhalt
Historical Context The Human Factor Interaction Elements Scientific Foundations Designing HCI Experiments Hypothesis Testing Modeling Interaction Writing and Publishing a Research Paper

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