Ways of Knowing in HCI

  • Judith S. Olson
  • Wendy A. Kellogg

Table of contents

  1. Front Matter
    Pages i-xi
  2. Paul Dourish
    Pages 1-23
  3. Loren Terveen, Joseph A. Konstan, Cliff Lampe
    Pages 95-117
  4. Katie A. Siek, Gillian R. Hayes, Mark W. Newman, John C. Tang
    Pages 119-142
  5. John Zimmerman, Jodi Forlizzi
    Pages 167-189
  6. Darren Gergle, Desney S. Tan
    Pages 191-227
  7. Hendrik Müller, Aaron Sedley, Elizabeth Ferrall-Nunge
    Pages 229-266
  8. Serge Egelman, Ed H. Chi, Steven Dow
    Pages 267-289
  9. Stephen Voida, Donald J. Patterson, Shwetak N. Patel
    Pages 291-321
  10. Vidhya Navalpakkam, Elizabeth F. Churchill
    Pages 323-348
  11. Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
    Pages 349-372
  12. Daniel M. Russell, Ed H. Chi
    Pages 373-393
  13. Yuqing Ren, Robert E. Kraut
    Pages 395-419
  14. Derek L. Hansen, Marc A. Smith
    Pages 421-447
  15. Amy Bruckman
    Pages 449-468
  16. Wendy A. Kellogg, Judith S. Olson
    Pages 469-472

About this book


This textbook brings together both new and traditional research methods in Human Computer Interaction (HCI). Research methods include interviews and observations, ethnography, grounded theory and analysis of digital traces of behavior. The background context, clear explanations, and sample exercises make this an ideal textbook for graduate students.


Chapters are consistently structured to describe the research methods and their applications, including what they are useful for, what they are not appropriate for, and the key ingredients needed before using a method. Each chapter provides:


·         A short description of the method

·         Its history and evolution

·         The questions it can answer

·         Guidelines to ensure quality work

·         References for increasing expertise

·         References to examples of successful application

·         Exercises suitable for further student exploration


The chapters, written by foremost experts in the field, are highly diverse.  They range from grounded theory and action research to retrospective analysis, agent-based modeling, and social network analysis. Several chapters focus on system building, such as technical research, building an experimental online community, and field deployments, while others focus on design research. Experiments and surveys are covered, including their potential to benefit from crowdsourcing. New sources of digital data sensory systems, eye tracking, and log analysis are discussed. Because many of these methods extend to the world of online activity, the book concludes by exploring the ethical challenges that have surfaced.


Ways of Knowing in HCI provides a starting point toward other avenues for continued learning. Readers will gain an understanding of the type of knowledge each method provides, its disciplinary roots, and how each contributes to understanding users, user behavior, and the context of use. The book is an invaluable resource for students, researchers and  professionals alike.


Big data CSCW Design as research Digital traces of behavior Ethnography HCI Human computer interaction Qualitative and quantitative Research methodology Research methods Social computing Tutorials

Editors and affiliations

  • Judith S. Olson
    • 1
  • Wendy A. Kellogg
    • 2
  1. 1.University of California, IrvineIrvineUSA
  2. 2.Group Social ComputingIBM T.J. Watson Research CenterYorktown HeightsUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4939-0377-1
  • Online ISBN 978-1-4939-0378-8
  • Buy this book on publisher's site