Abstract
To successfully drive best-in-class human factors into product design, it is sometimes necessary to adopt more non-traditional experimental methods and reporting techniques. Within the PC industry, a traditional usability study is usually comprised of running eight to twelve participants through a set of tasks in a two-hour time period, collecting and reporting ease-of-use, success rate, time-on-task, and preference data. This traditional method is great at identifying potential usability pitfalls, but not necessarily equipped to focus on a product’s visual appeal or quality perception. Two case studies are described that introduce non-traditional methods which: (1) focus on the perceived quality of specific product designs; (2) relate subjective data to concrete mechanical terms such that engineers have clear direction on how to build the products; and (3) report findings in a concise, graphical manner that is easily and quickly understood by executives and colleague functions lacking a human factors background.
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© 2009 Springer-Verlag Berlin Heidelberg
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Walline, E.K., Lawrence, B. (2009). Translating Subjective Data to Objective Measures to Drive Product Design and Experience. 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_40
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DOI: https://doi.org/10.1007/978-3-642-02806-9_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02805-2
Online ISBN: 978-3-642-02806-9
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