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Brain activity underlying visual search in depth when viewing volumetric multiplanar images.
Mehrdad Naderi1, Tatjana Pladere2, Reinis Alksnis3
1Department of Optometry and Vision Science, Faculty of Physics, Mathematics and Optometry, University of Latvia, Riga, Latvia. mehrdad.naderi@lu.lv.
Scientific Reports
|May 11, 2023
Summary
Viewing 3D images on a volumetric multiplanar display requires similar brain activity to 2D images. Depth perception in 3D visualization does not increase cognitive load compared to 2D.
Area of Science:
- Neuroscience
- Cognitive Science
- Human-Computer Interaction
Background:
- Advancements in display technology enable immersive 3D visualizations.
- Understanding the cognitive load of 3D versus 2D image perception is crucial for effective interface design.
- Volumetric multiplanar displays offer novel ways to present 3D visual information.
Purpose of the Study:
- To compare the cortical activity associated with 3D and 2D image perception.
- To investigate the cognitive load imposed by 3D visualization on a volumetric multiplanar display.
- To analyze event-related potentials (ERPs) and power spectral density (PSD) during visual target perception.
Main Methods:
- Utilized a volumetric multiplanar display to present visual targets in both 3D and 2D formats.
- Recorded electroencephalography (EEG) signals using an EEG amplifier.
- Analyzed brain signals with EEGLAB toolbox in MATLAB, focusing on ERPs and PSD.
Main Results:
- No significant differences in ERP amplitude were found between 3D and 2D conditions across occipital and parietal electrodes.
- A significant difference in P3 component latency was observed on the Pz electrode.
- Power spectral density analysis revealed no significant differences, though slightly higher alpha and beta activity were noted in 2D visualization.
Conclusions:
- 3D image representation on volumetric multiplanar displays does not impose a greater sensory or cognitive load than 2D.
- Depth perception facilitated by multiplanar displays may require less neural processing compared to 2D.
- Findings suggest efficient neural processing for 3D visualization on advanced display technologies.
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