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Related Experiment Videos

Performance evaluation of a distance learning program

D J Dailey1, K R Eno, J F Brinkley

  • 1Dept. Electrical Engineering, University of Washington, Seattle 98195.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

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A new performance metric quantifies client-server application response times over the Internet. This metric revealed that network location does not significantly impact user experience for a distance learning application.

Area of Science:

  • Computer Science
  • Human-Computer Interaction

Background:

  • Client-server applications are increasingly prevalent over the Internet.
  • Characterizing response time for non-deterministic applications is challenging.
  • Internet-based distance learning tools require reliable performance metrics.

Purpose of the Study:

  • To introduce a novel, single-number performance metric for non-deterministic client-server applications.
  • To evaluate the metric's effectiveness using a real-world distance learning application.
  • To demonstrate the metric's applicability to diverse Internet-based client-server systems.

Main Methods:

  • Development of a performance metric based on response time.
  • Application of the metric to the Digital Anatomist Browser, a Macintosh-based distance learning tool.

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  • Analysis of user experience across different network conditions and hardware.

    • Main Results:

    • The metric successfully characterized response time for the Digital Anatomist Browser.
    • A key finding indicated that typical student users experience similar delays regardless of Macintosh speed or network distance.
    • The performance metric proved effective in identifying performance characteristics.

    Conclusions:

    • The proposed metric provides a valuable tool for assessing Internet application performance.
    • Network latency and hardware specifications may have less impact on user-perceived delay than anticipated for certain applications.
    • The methodology is adaptable for evaluating a wide range of emerging Internet client-server applications.