skip to main content
10.1145/1937117.1937118acmconferencesArticle/Chapter ViewAbstractPublication PagessplashConference Proceedingsconference-collections
research-article

Using CogTool to model programming tasks

Published:17 October 2010Publication History

ABSTRACT

In this paper, we describe the use of CogTool, a tool that enables non-psychologists to create cognitive models of user tasks from which reliable estimates of skilled user task times can be derived. We show how CogTool was used to compare a new parallel programming toolkit built on Eclipse, with Vim, a programming editor typically used in command line environments. This comparison was conducted to evaluate new parallel/scientific systems as part of the US Defense Advanced Research Projects Agency's High Productivity Computing Systems initiative. Our models indicate that for the four tasks analyzed, the new Eclipse tools are faster than the command line environments. Surprisingly, our models also reveal that despite programmers' preference for keyboard interaction in command line environments, mouse-based interaction is sometimes faster.

References

  1. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004) An integrated theory of the mind. Psychological Review 111, (4). 1036--1060.Google ScholarGoogle ScholarCross RefCross Ref
  2. Brown, A. B. and Hellerstein, J. L. (2004) An Approach to Benchmarking Configuration Complexity Proceedings of the 11th workshop on ACM SIGOPS European workshop. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Card, S. K., Moran, T. P., & Newell, A. (1983) The Psychology of Human-Computer Interaction. Hillsdale, NJ: Lawrence Erlbaum Associates. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Furnas, G. W. (1986) Generalized fisheye views. SIGCHI Bulletin. 17, 4, 16--23. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. John, B. E., (2010) Reducing the Variability between Novice Modelers: Results of a Tool for Human Performance Modeling Produced through Human-Centered Design. Proceedings of the 19th Annual Conference on Behavior Representation in Modeling and Simulation (BRIMS) (Charleston, SC, March 22--25, 2010).Google ScholarGoogle Scholar
  6. John, B. E., (submitted) Using Predictive Human Performance Models to Inspire and Support UI Design Recommendations. Manuscript submitted for publication.Google ScholarGoogle Scholar
  7. John, B., Prevas, K., Salvucci, D., & Koedinger, K. (2004) Predictive Human Performance Modeling Made Easy. Proceedings of CHI, 2004 (Vienna, Austria, April 24--29, 2004) ACM, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Kirschenbaum, S. S., Gray, W. D., Ehret, B. D., & Miller, S. L. (1996) When using the tool interferes with doing the task. In M. J. Tauber (Ed.), Conference companion of the ACM CHI'96 Conference Human Factors in Computing Systems (pp. 203--204). New York: ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Lawrance, J., Bellamy, R., Burnett, M. (2007) Scents in programs: Does information foraging theory apply to program maintenance? In Proceedings of Visual Languages and Human-Centric Computing, IEEE. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Pirolli, P. & Card, S. (1999) "Information foraging," Psychology Review, vol. 106, no. 4, pp. 643--675.Google ScholarGoogle ScholarCross RefCross Ref
  11. Teo, L. & John, B. E. (2008) Towards predicting user interaction with CogTool-Explorer. Proceedings of the Human Factors and Ergonomics Society 52nd Annual Meeting (New York, NY, Sept 22--26, 2008).Google ScholarGoogle Scholar

Index Terms

  1. Using CogTool to model programming tasks

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      PLATEAU '10: Evaluation and Usability of Programming Languages and Tools
      October 2010
      51 pages
      ISBN:9781450305471
      DOI:10.1145/1937117

      Copyright © 2010 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 17 October 2010

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate5of8submissions,63%

      Upcoming Conference

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader