WebDiP: a tool for information search experiments on the World-Wide Web.

Area of Science:

• Computer Science
• Human-Computer Interaction
• Research Methodology

Background:

• Tracking participant information search behavior is crucial for understanding decision-making processes.
• Existing tools may lack flexibility, accessibility, or robust data tracking capabilities.
• The integration of open-source solutions can enhance research efficiency and reproducibility.

Purpose of the Study:

• To introduce WebDiP (Web Decision Processes), an open-source online tool for tracking user information searches.
• To detail the technical features, setup, and configuration of the WebDiP system.
• To explore the incorporation of open-source principles into the research process.

Main Methods:

• Development of WebDiP as an internet-accessible, open-source application.
• Description of system architecture and technical specifications.
• Identification and integration of complementary open-source tools for programming, deployment, and data analysis.

Main Results:

• WebDiP provides a functional platform for real-time tracking of participant interactions within a database.
• The tool's open-source nature allows for customization and community contribution.
• Demonstration of how open-source tools can streamline the research workflow from data collection to analysis.

Conclusions:

• WebDiP offers a valuable, accessible solution for researchers studying online information-seeking behavior.
• The adoption of open-source tools promotes transparency, collaboration, and cost-effectiveness in research.
• Future development of WebDiP aims to expand its capabilities and research applications.