Biomedical
Software Development for Processing and Analysis of Data Generated by Human Eye Movements
Radoslava Kraleva,
Velin Kralev
Peer Reviewed
Abstract
This research focuses on a software application providing opportunities for the processing and analysis of data generated by a saccade sensor with human eye movements. The main functional opportunities of the developed application are presented as well. According to the methodology of the experiments, three experiments were prepared. The first was related to visualization of the stimuli on a stimulation computer display that was integrated into the developed application as a separate module. The second experiment was related to an interactive visualization of the projection of the eye movement of the participants in the experiment onto the stimulation computer display. The third experiment was related to an analysis of aggregated data on the decision time and the number of correct responses given by the participants to visual tasks. The tests showed that the application can be used as a stimulation center to visualize the stimuli and to recreate the experimental sessions. The summary of the results led to the conclusion that the number of correct responses to the visual tasks depended both on the type of motion of the stimuli and on the size of displacement from the center of the aperture.
Key Questions
1. How does eye-tracking technology work in data processing?
Eye-tracking devices monitor and record eye movements, allowing software to process data on fixation points, gaze duration, and saccades to analyze visual attention patterns.
2. What are the primary applications of eye movement analysis?
Eye movement analysis is widely used in fields like cognitive science, marketing, neuroscience, and human-computer interaction to study attention, decision-making, and visual behavior.
3. What challenges are faced in developing software for eye-tracking data?
Key challenges include handling large datasets, ensuring accuracy in data interpretation, and developing software that integrates seamlessly with different eye-tracking hardware.
4. How can eye movement data contribute to various fields such as neuroscience and marketing?
In neuroscience, eye movement data helps understand cognitive processes; in marketing, it provides insights into consumer attention, preferences, and behaviors.
