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

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초록

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.

키워드

User perception methodSmart SpaceVisualizationEye-TrackingEEGWebGLCesiumArchitectural designBehavioral researchCesiumData visualizationElectroencephalographyElectrophysiologyEye movementsFlow visualizationThree dimensional computer graphicsWebsites
제목
WEB-BASED 3D HEATMAP VISUALIZATION OF SPATIAL COGNITION USING EEG AND EYE TRACKING DATA
저자
Choi, Tae HoJi, Seung YeulHong, Yi YeonJun, Han Jong
발행일
2024-04
유형
Proceedings Paper
저널명
PROCEEDINGS OF THE 29TH INTERNATIONAL CONFERENCE OF THE ASSOCIATION FOR COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA, CAADRIA 2024, VOL 3
3
페이지
539 ~ 548