Related Experiment Video
Updated: Aug 8, 2026
04:43
Visualizing Visual Adaptation
Published on: April 24, 2017
PERCEIV: A Multimodal Physiological Dataset of Visual Encodings for Adaptive InfoVis Interfaces
IEEE Transactions on Visualization and Computer Graphics
|August 6, 2026
Summary
This study introduces PERCEIV, a large dataset for understanding user responses to visual encoding in information visualization. It aids in developing adaptive interfaces by analyzing multimodal data like brain and eye activity.
Area of Science:
- Human-Computer Interaction
- Cognitive Science
- Data Visualization
Background:
- Adaptive information visualization interfaces require understanding user responses to visual encoding variants.
- Existing datasets lack comprehensive multimodal data for studying these responses.
Purpose of the Study:
- Introduce PERCEIV, a large-scale dataset for studying user perception of visual encodings.
- Provide a foundation for developing adaptive information visualization interfaces.
- Facilitate research into cognitive state dynamics during information processing.
Main Methods:
- Collected multimodal data (brain, eye, electrodermal activity) from 120 participants performing information visualization tasks.
- Time-synchronized sensor streams with annotations and participant metadata.
- Provided processed derivatives, baseline analyses, and machine learning scripts.
Main Results:
- A comprehensive dataset with raw and processed multimodal sensor data.
- Scripts for feature extraction, quality control, and machine learning model training.
- Standardized data splits and documentation for reproducible research.
Conclusions:
- PERCEIV dataset enables novel studies on sensor modalities and computational models.
- Facilitates deeper understanding of cognitive dynamics in information processing.
- Supports the development of adaptive and user-centered information visualization systems.
Related Concept Videos
01:20Parallel Processing
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
01:24Vision
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.