Book : Human-computer Interaction An Empirical Research...

-Titulo Original : Human-Computer Interaction: An Empirical Research Perspective

-Fabricante :

Morgan Kaufmann

-Descripcion Original:

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, youll 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, youll 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. Review One could easily imagine it being titled An introduction to empirical research in HCI. That is its strength, and there it shines. The book is relatively short but packed with information; features tight but lively writing; and is thoughtfully illustrated and amply sourced…For those wishing to learn more about HCI through (publishable) experiments, this is a fantastic introduction. --ComputingReviews , December 2013 Human-computer interactions (HCI) is an ever more important subject for study as computers become ever faster, smaller, and more integrated into daily life. MacKenzie …emphasizes the performance of research into HCI in this work intended for the working scientist…Each chapter concludes with student exercises and there is a supplementary website that contains software source code, several statistical applications, and packages for experiments in HCI. --Reference & Research Book News, December 2013 This is intended to be a textbook specifically for use in teaching the topic at a degree level, and it achieves that aim in no small measure…The text is clear, slightly conversational and offers a refreshing look at the field of study…The book contains a number of interesting case studies designed to illustrate the various issues, and it also contains some questionnaires and other example material, all designed to make the reader query how and why they do things. --BCS.org, November 2013 Scott McKenzie is one of the most thoughtful, thorough, authoritative, and careful HCI researchers I know. This book puts his experience, insights, and wisdom into a highly accessible, practical, and user-friendly form. It ties general notions in user interface design to solid scientific concepts and experimental procedures, and it teaches readers how to perform them for themselves. And it even concludes with a chapter on how to write a research paper -- useful advice, but rarely found in such a book. --Robert J.K. Jacob, Department of Computer Science, Tufts University Review An A-to-Z guide on designing and conducting empirical experiments in human-computer interaction. Additional materials for this book are available on the following website. Please copy and paste this URL on your browser: :// yorku.ca/mack/HCIbook/ From the Back Cover 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, youll 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, youll find hands-on exercises, checklists, and real-world examples. This is your must-have, comprehensive guide to empirical