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Manual Segmentation of the Human Choroid Plexus Using Brain MRI

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Published on: December 15, 2023

Perception of average value in multiclass scatterplots.

Michael Gleicher¹, Michael Correll, Christine Nothelfer

¹University of Wisconsin - Madison.

IEEE Transactions on Visualization and Computer Graphics

|September 21, 2013

Summary

This summary is machine-generated.

Visual perception is efficient for aggregate judgments, even with many objects. This study found that scatterplot performance is unaffected by data set size but is hindered by less salient visual encodings.

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Measuring the Behavioral Effects of Intraocular Scatter

Measuring the Behavioral Effects of Intraocular Scatter

Published on: February 18, 2021

Area of Science:

Cognitive Psychology
Computer Vision
Data Visualization

Background:

The visual system excels at rapid aggregate judgments, with speed largely independent of object quantity.
Existing research on visual summarization often overlooks complex, long-term tasks and specific aggregation types like mean value localization.
Multi-class scatterplots present unique challenges for aggregate perception, particularly in judging relative mean values.

Purpose of the Study:

To investigate the efficiency of aggregate judgments in multi-class scatterplots, focusing on relative mean value perception.
To evaluate how factors like the number of points, redundant encodings, and visual saliency impact performance in scatterplot tasks.
To test predictions derived from perception literature regarding these factors in a large-scale crowd-sourced study.

Main Methods:

A large-scale perceptual study was conducted using crowd-sourced participants.
Participants performed relative mean value judgments within multi-class scatterplots.
Experimental conditions varied the number of points per set, encoding redundancy, number of data sets, and encoding saliency.

Main Results:

Judgment difficulty was not significantly affected by an increase in the number of points within each data set.
Redundant and conflicting visual encodings, as well as the presence of additional data sets, showed minimal impact on performance.
Performance was notably impaired when using less visually salient encodings.

Conclusions:

Scatterplot design can be optimized by focusing on salient encodings rather than solely increasing data density.
The findings suggest that visual aggregation mechanisms are robust to variations in data set size and encoding complexity.
Understanding these perceptual constraints is crucial for developing more effective and intuitive data visualization tools.