Visual Analytics of Gaze Data with Standard Multimedia Players.

Area of Science:

• Human-Computer Interaction
• Multimedia Systems
• Data Archiving

Background:

• Growing volume of eye-tracking and gaze data from video studies.
• Current data formats are proprietary, difficult to access, and require specialized software.
• Limited accessibility hinders non-expert researchers and broad data utilization.

Purpose of the Study:

• To develop a standardized exchange format for eye-tracking and gaze data.
• To integrate gaze data within existing multimedia container formats.
• To enhance accessibility and facilitate analysis of visual attention data.

Main Methods:

• Utilizing standard multimedia container formats for data bundling.
• Defining a new exchange format interpretable by common multimedia players.
• Converting existing gaze datasets into the new format.
• Developing VLC player add-ons for visual analytics.

Main Results:

• Demonstrated feasibility of bundling gaze data with stimuli in multimedia containers.
• Enabled visualization of gaze data using standard multimedia players.
• Introduced add-ons for advanced visual analytics, enhancing data interpretation.

Conclusions:

• The proposed format significantly improves accessibility and usability of eye-tracking and gaze data.
• Integration into multimedia containers simplifies data distribution, archiving, and analysis.
• Facilitates wider adoption and novel visual analytics approaches for gaze data.