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A method for automated detection of usability problems from client user interface events.

Gilan M Saadawi1, Elizabeth Legowski, Olga Medvedeva

  • 1Center for Biomedical Informatics, University of PIttsburgh School of Medicine, Pittsburgh, PA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
PubMed
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Automating usability problem detection from user interface events significantly reduces analysis time for intelligent tutoring systems. This method effectively identifies issues without relying on verbal feedback, making usability testing more efficient.

Area of Science:

  • Human-Computer Interaction
  • Usability Engineering
  • Educational Technology

Background:

  • Think-aloud usability analysis yields valuable data but is labor-intensive due to manual video review.
  • Developing intelligent tutoring systems requires efficient methods for identifying user interface (UI) problems.

Purpose of the Study:

  • To present a novel, automated method for detecting usability problems in a medical intelligent tutoring system.
  • To reduce the time and cost associated with traditional usability analysis.

Main Methods:

  • Implemented an agent-based system to centralize interface events and system responses.
  • Developed a schema for representing interface events and user subgoals.
  • Created an algorithm to automate the identification of usability problems based on manual coding criteria.

Related Experiment Videos

  • Empirically determined a correction factor for think-aloud task performance differences.

    • Main Results:

    • The automated method successfully detected usability problems by analyzing client UI events.
    • All usability issues not dependent on verbal user input were identified.
    • The method's validity was confirmed by comparing its results with manual analysis.

    Conclusions:

    • Automated detection of usability problems from interface events is feasible and efficient.
    • This approach offers a viable alternative to time-consuming manual analysis for intelligent tutoring systems.
    • The method holds promise for improving the usability of educational software.