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Human-Computer Interaction: An Empirical Research Perspective

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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 n 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.


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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 n 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.

30 review for Human-Computer Interaction: An Empirical Research Perspective

  1. 5 out of 5

    Fatma Moawad

    I love this book. I read many books in HCI and this is definitely my pick for any of my classes. It addresses the reality that I took so much time to discover. It gives quick guidance with enough details for a good understanding. Definitely recommended for those who are empirical in how they do science and as a text book for an intro HCI course.

  2. 5 out of 5

    Paulina Durán

    Very easy to read and with cool examples, I definitely think this is a great book to understand and be able to carry out a small research :)

  3. 5 out of 5

    Ark

    An excellent, condensed review of HCI research, the methodologies, and history.

  4. 4 out of 5

    Grant

    No-nonsense and informative intro to HCI, written cleanly and clearly. Unlike many textbooks in this area, or computing in general, it isn't dated either (as of 2016), as there are many examples using mobile, recent research, etc. I found chapter 3 on interaction elements the most useful, followed by chapter 5 on designing experiments. Within-subjects vs between-subjects experiment design was interesting. Also internal vs external validity. If you've read Don Norman's stuff, you'll notice a lot No-nonsense and informative intro to HCI, written cleanly and clearly. Unlike many textbooks in this area, or computing in general, it isn't dated either (as of 2016), as there are many examples using mobile, recent research, etc. I found chapter 3 on interaction elements the most useful, followed by chapter 5 on designing experiments. Within-subjects vs between-subjects experiment design was interesting. Also internal vs external validity. If you've read Don Norman's stuff, you'll notice a lot of it here, but this textbook goes beyond the theory of heuristics, metaphor, mental models, etc. to discuss using theory in actual experiments. Chapter 8 is only really relevant to students (I no longer am one). The textbook also could have benefited from colour in the images, but I guess the printers took the cheap route (my edition, at least, was all greyscale/black and white). "The point is that a user expectation is broken. Broken expectations sooner or later cause errors." pg. 112

  5. 5 out of 5

    Jim Bumpus

    Goes beyond usability testing to answer "How do we collect scientific data to answer questions about user interfaces?" Goes beyond usability testing to answer "How do we collect scientific data to answer questions about user interfaces?"

  6. 4 out of 5

    Emanuel

  7. 4 out of 5

    John

  8. 5 out of 5

    Panos Tsilopoulos

  9. 5 out of 5

    Ahmed Alzoabi

  10. 4 out of 5

    Tim Tim

  11. 5 out of 5

    Cuong Nd

  12. 4 out of 5

    Amarnath Murugen

  13. 4 out of 5

    Luís Gouveia

  14. 4 out of 5

    Michael Morgan

  15. 4 out of 5

    Mitchell Wakefield

  16. 4 out of 5

    Matthew

  17. 5 out of 5

    Taylor Hanayik

  18. 4 out of 5

    Arganka Yahya

  19. 5 out of 5

    Tilman

  20. 4 out of 5

    Hadziq Fabroyir

  21. 4 out of 5

    Jerry Widjaya

  22. 4 out of 5

    Alvin Grissom II

  23. 5 out of 5

    Daniel

  24. 5 out of 5

    Anna Kolota

  25. 4 out of 5

    Francisco Ortega

  26. 4 out of 5

    Johann Sell

  27. 4 out of 5

    Zarait Hussain

  28. 4 out of 5

    Itamar Inbar

  29. 4 out of 5

    Damien Brun

  30. 5 out of 5

    Fran

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