Helen C. Purchase

Experimental Human-Computer Interaction (eBook, PDF)

A Practical Guide with Visual Examples

• Format: PDF

Produktbeschreibung

Experiments that require the use of human participants are time consuming and costly: it is important to get the process right the first time. Planning and preparation are key to success. This practical book takes the human-computer interaction researcher through the complete experimental process, from identifying a research question to designing and conducting an experiment, and then to analysing and reporting the results. The advice offered in this book draws on the author's twenty years of experience running experiments. In describing general concepts of experimental design and analysis she refers to numerous worked examples that address the very real practicalities and problems of conducting an experiment, such as managing participants, getting ethical approval, pre-empting criticism, choosing a statistical method and dealing with unexpected events.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 23. Juli 2012
• Englisch
• ISBN-13: 9781139558129
• Artikelnr.: 38457363

Autorenporträt

Dr Helen C. Purchase is a Senior Lecturer in the School of Computing Science, University of Glasgow. She has been awarded teaching excellence awards from both the University of Queensland and the University of Glasgow. Her research has been published in numerous journals including IEEE Transactions on Visualization and Computer Graphics, the International Journal of Human-Computer Studies, Information Visualization, Graph Drawing Conference and the ACM SIGCSE Bulletin. Her research focuses on visual aesthetics, collaborative learning in higher education and sketch tools for design.

Inhaltsangabe

1. Introduction
2. Defining the research
3. Experimental procedure
4. Data collection and qualitative analysis
5. Statistics
6. Reporting
7. Problems and pitfalls
8. Six principles for conducting experiments
Appendix 1. Independent measures examples
Appendix 2. Statistical formulae
Appendix 3. Factor analysis example.