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Related Experiment Videos

Collecting responses through Web page drag and drop.

M Anne Britt1, Gareth Gabrys

  • 1Psychology Department, Northern Illinois University, Dekalb, IL 60115, USA. britt@niu.edu

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|June 12, 2004
PubMed
Summary

This study introduces a drag-and-drop web interface for collecting participant responses in text search tasks. This method efficiently captures how users identify and categorize elements within textual content.

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Educational Technology

Background:

  • Traditional methods for collecting textual data can be cumbersome.
  • Developing interactive web-based tools is crucial for modern research.
  • Drag-and-drop interfaces offer intuitive user interaction.

Purpose of the Study:

  • To present a novel drag-and-drop technique for collecting experimental participant responses on web pages.
  • To demonstrate the application of this technique in text search and element categorization tasks.
  • To facilitate research in areas like argument analysis and source characteristic identification.

Main Methods:

  • Implementing a drag-and-drop interface on a web page for user interaction.
  • Utilizing embedded XML documents and drag-and-drop event handling in Microsoft Internet Explorer.

Related Experiment Videos

  • Designing a text search task requiring participants to locate and categorize text segments.

    • Main Results:

    • Successfully collected participant responses using the drag-and-drop method in an argument element identification experiment.
    • Validated the technique's effectiveness in a tutoring system for teaching source characteristic identification.
    • Demonstrated the feasibility of the implementation with contemporary web browser technologies.

    Conclusions:

    • The drag-and-drop technique provides an efficient and intuitive way to gather data in web-based text analysis tasks.
    • This method enhances user engagement and data collection accuracy in experimental settings.
    • The described implementation is compatible with modern web standards and browser capabilities.