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Visual Languages and Human-Centric Computing (VL/HCC'06)
Dimensions Characterizing Programming Feature Usage by Information Workers
Brighton, United Kingdom
September 04-September 08
ISBN: 0-7695-2586-5
Christopher Scaffidi, Carnegie Mellon University
Andrew Ko, Carnegie Mellon University
Brad Myers, Carnegie Mellon University
Mary Shaw, Carnegie Mellon University
Information workers such as administrative staff, consultants, and their managers constitute one of the largest groups of end users, yet little research about their usage of programming features is available to guide development of end user programming tools. In this paper, we describe our survey of over 800 information workers and our analysis of their feature usage in applications such as spreadsheets, browsers, and databases. Our factor analysis reveals three clusters of features-macro features, linked structure features, and imperative features-such that information workers with an inclination to use a feature in each cluster also were inclined to use other features in that cluster, even though each cluster spans several tools. We discuss the implications for research aimed at providing end user programming tools for information workers.
Citation:
Christopher Scaffidi, Andrew Ko, Brad Myers, Mary Shaw, "Dimensions Characterizing Programming Feature Usage by Information Workers," vlhcc, pp.59-64, Visual Languages and Human-Centric Computing (VL/HCC'06), 2006
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