Searching for software learning resources using application context

  • Authors:
  • Michael Ekstrand;Wei Li;Tovi Grossman;Justin Matejka;George Fitzmaurice

  • Affiliations:
  • Autodesk Research, University of Minnesota, Toronto, ON, Canada;Autodesk Research, Toronto, ON, Canada;Autodesk Research, Toronto, ON, Canada;Autodesk Research, Toronto, ON, Canada;Autodesk Research, Toronto, ON, Canada

  • Venue:
  • Proceedings of the 24th annual ACM symposium on User interface software and technology
  • Year:
  • 2011

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Abstract

Users of complex software applications frequently need to consult documentation, tutorials, and support resources to learn how to use the software and further their understand-ing of its capabilities. Existing online help systems provide limited context awareness through "what's this?" and simi-lar techniques. We examine the possibility of making more use of the user's current context in a particular application to provide useful help resources. We provide an analysis and taxonomy of various aspects of application context and how they may be used in retrieving software help artifacts with web browsers, present the design of a context-aware augmented web search system, and describe a prototype implementation and initial user study of this system. We conclude with a discussion of open issues and an agenda for further research.