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Research Methods for Human-Computer Interaction [Hardcover]

Paul Cairns , Anna L. Cox

RRP: 74.00
Price: 58.98 & FREE Delivery in the UK. Details
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Book Description

21 Aug 2008 0521870127 978-0521870122 1
Human-Computer Interaction draws on the fields of computer science, psychology, cognitive science, and organisational and social sciences in order to understand how people use and experience interactive technology. Until now, researchers have been forced to return to the individual subjects to learn about research methods and how to adapt them to the particular challenges of HCI. This is the first book to provide a single resource through which a range of commonly used research methods in HCI are introduced. Chapters are authored by internationally leading HCI researchers who use examples from their own work to illustrate how the methods apply in an HCI context. Each chapter also contains key references to help researchers find out more about each method as it has been used in HCI. Topics covered include experimental design, use of eyetracking, qualitative research methods, cognitive modelling, how to develop new methodologies and writing up your research.


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'Research Methods for Human-Computer Interaction is a wonderful resource for both students and practitioners who need to take a scientific approach to the design of user interfaces. It provides thorough introductions to many important topics. This is the first time that such a wide range of expert advice on the methods borrowed by HCI from other disciplines has been gathered into a single volume. It includes not only introductions to standard methods, but also recent advanced techniques, as well as a few alternative views from senior researchers who challenge conventional opinion.' Dr Alan Blackwell, Reader in Interdisciplinary Design, University of Cambridge Computer Laboratory

Book Description

A single resource, demonstrating a range of commonly used research methods in HCI, drawing on its background disciplines. Students will learn how to approach experimental design, statistics and theory; get help devising questionnaires and analysing qualitative data; and learn how to develop new methodologies and write up their work.

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