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User-Needs Analysis and Design Methodology for an Automated Document Generator

  • K. Kukich
  • K. McKeown
  • J. Shaw
  • J. Robin
  • J. Lim
  • N. Morgan
  • J. Phillips
Chapter
Part of the Linguistica Computazionale book series (LICO, volume 9)

Abstract

Telephone network planning engineers routinely study feeder routes within the telephone network in order to create and refine network capacity expansion (relief) plans. In doing so they make use of a powerful software tool called LEIS TM PLAN 1 We are developing an extension to PLAN called PLANDoc that will automatically generate natural language narratives documenting the engineers’ use of PLAN. In this paper, we present the user-needs analysis and design methodology we have used in developing the PLANDoc system. We describe our interviews with various end users to determine if such a system would be desirable and what design factors would make it useful. We show how we model the system on a set of iteratively-revised human-generated narratives. The model narratives determine the function and architecture of the documentation system, and they inform the development of the system components.

Keywords

Base Plan Automate Documentation Message Type Refinement Action Lexical Choice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Landauer, T. et al., “Enhancing the Usability of Text Through Computer Delivery and Formative Evaluation: The SuperBook Project”, in Dillon, A. and McKnight, C. (eds.), Hypertext: A Psychological Perspective, 1993.Google Scholar
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    Nielsen, J., Usability Engineering, Academic Press, San Diego, CA, 1993.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • K. Kukich
    • 1
  • K. McKeown
    • 2
  • J. Shaw
    • 2
  • J. Robin
    • 2
  • J. Lim
    • 2
  • N. Morgan
    • 1
  • J. Phillips
    • 1
  1. 1.BellcoreMorristownUSA
  2. 2.Computer Science DepartmentColumbia UniversityNew YorkUSA

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