Research methods in human-computer interaction
(eBook)
Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments.
Lazar, J., Feng, J. H., & Hochheiser, H. (2017). Research methods in human-computer interaction. Second edition. Cambridge, MA, Morgan Kaufmann Publishers, an imprint of Elsevier.
Chicago / Turabian - Author Date Citation (style guide)Lazar, Jonathan, Jinjuan Heidi, Feng and Harry, Hochheiser. 2017. Research Methods in Human-computer Interaction. Cambridge, MA, Morgan Kaufmann Publishers, an imprint of Elsevier.
Chicago / Turabian - Humanities Citation (style guide)Lazar, Jonathan, Jinjuan Heidi, Feng and Harry, Hochheiser, Research Methods in Human-computer Interaction. Cambridge, MA, Morgan Kaufmann Publishers, an imprint of Elsevier, 2017.
MLA Citation (style guide)Lazar, Jonathan,, et al. Research Methods in Human-computer Interaction. Second edition. Cambridge, MA, Morgan Kaufmann Publishers, an imprint of Elsevier, 2017.
Notes
Record Information
| Last File Modification Time | Apr 05, 2024 09:46:33 PM |
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| Last Grouped Work Modification Time | May 01, 2024 06:39:54 AM |
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| 250 | |a Second edition. | ||
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| 264 | 4 | |c Ã2017 | |
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed May 11, 2017). | |
| 520 | |a Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. | ||
| 505 | 0 | |a Introduction to HCI research -- Experimental research -- Experimental design -- Statistical analysis -- Surveys -- Diaries -- Case studies -- Interviews and focus groups -- Ethnography -- Usability testing -- Analyzing qualitative data -- Automated data collection methods -- Measuring the human -- Online and ubiquitous HCI research -- Working with human subjects -- Working with research participants with disabilities. | |
| 542 | |f Copyright #169: Elsevier Science Technology|g 2017 | ||
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