• 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