DocumentCode
2588242
Title
Dimensions Characterizing Programming Feature Usage by Information Workers
Author
Scaffidi, Christopher ; Ko, Andrew ; Myers, Brad ; Shaw, Mary
Author_Institution
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
59
Lastpage
64
Abstract
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
Keywords
human factors; software tools; end user programming tools; factor analysis; imperative features; information workers; linked structure features; macro features; programming feature usage; Computer science; Data analysis; Design automation; Home appliances; Information analysis; Programming profession; Radio access networks; Research and development management; Spatial databases; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Languages and Human-Centric Computing, 2006. VL/HCC 2006. IEEE Symposium on
Conference_Location
Brighton
Print_ISBN
0-7695-2586-5
Type
conf
DOI
10.1109/VLHCC.2006.21
Filename
1698763
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