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OGAMA (Open Gaze and Mouse Analyzer): open-source software designed to analyze eye and mouse movements in slideshow
Adrian Vosskühler1, Volkhard Nordmeier, Lars Kuchinke
1Freie Universität, Berlin, Germany. adrian.vosskuehler@physik.fu-berlin.de
Behavior Research Methods
|November 13, 2008
Summary
This study introduces the Open Gaze and Mouse Analyzer (OGAMA), a free software tool for analyzing eye-tracking and mouse-tracking data simultaneously in experiments. OGAMA facilitates data recording, analysis, and visualization, enhancing research capabilities.
Area of Science:
- Human-Computer Interaction
- Cognitive Science
- Usability Research
Background:
- Analyzing user interaction data, including eye-tracking and mouse movements, is crucial for understanding user behavior in experimental settings.
- Existing tools may lack integrated functionality for parallel analysis of both gaze and mouse data from slideshow-based experiments.
Purpose of the Study:
- To introduce a novel, open-source software solution for the parallel recording and analysis of eye-tracking and mouse-tracking data.
- To provide researchers with a versatile tool for designing experiments, processing data, and visualizing user attention.
Main Methods:
- Development of the Open Gaze and Mouse Analyzer (OGAMA) software using C#.NET.
- Implementation of features for slideshow design, parallel data recording (gaze and mouse), data preprocessing, filtering, and visualization (attention maps, areas of interest).
- Support for importing data from various eye-tracking and presentation systems in ASCII format.
Main Results:
- OGAMA enables simultaneous recording and analysis of eye-tracking and mouse-tracking data.
- The software offers comprehensive features from experiment design to data output compatible with statistical packages.
- Its open-source nature allows for customization and adaptation to specific research needs.
Conclusions:
- OGAMA provides a powerful, flexible, and accessible platform for researchers studying user behavior through eye-tracking and mouse-tracking data.
- The integrated approach of OGAMA simplifies the workflow for analyzing complex user interaction data.
- The open-source availability promotes wider adoption and collaborative development in the research community.

