Abstract
Usability testing methods and results have evolved over the last 35 years. With new advancements being introduced every year, it is important to understand the present state of the field and opportunities for further improvement. This paper will detail the research-based methods and metrics which are being used to ensure that usability recommendations are data-driven and performance-based. By focusing on the types of usability metrics being captured during usability tests, we will attempt to illustrate how usability researchers can quantifiably measure the performance of a system, use these measurements to make meaningful changes, and subsequently illustrate the improvements in user effectiveness, efficiency and satisfaction.
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© 2009 Springer-Verlag Berlin Heidelberg
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Bailey, R.W., Wolfson, C.A., Nall, J., Koyani, S. (2009). Performance-Based Usability Testing: Metrics That Have the Greatest Impact for Improving a System’s Usability. In: Kurosu, M. (eds) Human Centered Design. HCD 2009. Lecture Notes in Computer Science, vol 5619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02806-9_1
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DOI: https://doi.org/10.1007/978-3-642-02806-9_1
Publisher Name: Springer, Berlin, Heidelberg
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