WEB-BASED 3D HEATMAP VISUALIZATION OF SPATIAL COGNITION USING EEG AND EYE TRACKING DATA

Abstract

In recent years, the field of architecture has emphasized a user-centered approach. The focus is on analyzing and visualizing users' cognitive and emotional responses to the architectural environment to understand how it affects their experience beyond physical space. This study integrates eye-tracking technology and electroencephalography to analyze the user's visual attention and emotional state and perform web-based visualization. Eye tracking records a user's eye movements to identify areas of visual interest and concentration, while Electroencephalography measures alpha and beta wave activity to evaluate concentration and nervousness. The interrelationship between eye tracking and Electroencephalography data is identified using a time-series-based synchronized dataset. To visualize the analyzed biometric data in 3D, we map the data against the background of PointCloud as a 3D environment using Cesium, which is based on WebGL. The use of 3D visualization allows for the demonstration of the interaction between the user's biological response and architectural elements in a three-dimensional format. This enables a more intuitive understanding of users' cognitive and emotional responses within the architectural environment.