EyeTribe Tracker Data Accuracy Evaluation and Its Interconnection with Hypothesis Software for Cartographic Purposes.

Area of Science:

• Methodology in Human-Computer Interaction
• Mixed Methods Research Design

Background:

• Mixed research designs leverage both quantitative and qualitative methods.
• Effective integration of these methods is crucial for robust research outcomes.
• Existing tools often focus on single data types, necessitating combined approaches.

Purpose of the Study:

• To introduce a novel system integrating Hypothesis software with the EyeTribe tracker.
• To evaluate the accuracy of the EyeTribe tracker for research purposes.
• To present a functional system for mixed-methods data collection in research.

Main Methods:

• Description of Hypothesis software for quantitative data acquisition.
• Evaluation of EyeTribe tracker accuracy using concurrent recording with SMI RED 250.
• Development of the HypOgama web application for system interconnection.
• Integration of open-source OGAMA software for eye-movement recording.

Main Results:

• EyeTribe tracker data accuracy was found to be sufficient for cartographic research.
• The HypOgama system successfully integrates EyeTribe tracker and Hypothesis software.
• The combined system allows for simultaneous collection of qualitative (eye-tracking) and quantitative data.

Conclusions:

• The integrated Hypothesis and EyeTribe system offers a powerful tool for mixed-methods research.
• This approach enhances data collection capabilities, particularly in fields like cartographic research.
• The developed system provides a foundation for more comprehensive user behavior analysis.