Related Experiment Video
Updated: Oct 8, 2025

10:58
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
10.3K
A Holey Perspective on Venn Diagrams.
Anna N Bartel1,2, Kevin J Lande3,4, Joris Roos5,6
1Department of Psychology, University of Wisconsin-Madison.
Cognitive Science
|January 1, 2022
Summary
People expect "holes" in Venn diagrams to represent non-existence, not shading. This "hole hypothesis" guides interpretation of visual features in information visualizations.
Area of Science:
- Cognitive Psychology
- Information Visualization
- Human-Computer Interaction
Background:
- Observers form expectations about how visual features map to concepts, known as inferred mappings.
- Previous research identified inferred mappings for colormap data visualizations.
- Venn diagrams present a unique case due to potentially counterintuitive established conventions.
Purpose of the Study:
- To investigate if inferred mappings for colormaps generalize to Venn diagrams.
- To test the "hole hypothesis" regarding the interpretation of non-existence in Venn diagrams.
- To understand the role of perceptual properties in interpreting visual features.
Main Methods:
- Three experiments were conducted to test the "hole hypothesis".
- The study examined how observers interpret shaded regions versus "hole-like" regions in Venn diagrams.
- Perceptual properties of the diagram and its background were analyzed.
Main Results:
- Results supported the "hole hypothesis".
- Observers expect regions appearing as holes to signify non-existence.
- The interpretation of visual features in Venn diagrams is influenced by configural processing.
Conclusions:
- Established conventions for Venn diagrams may be counterintuitive.
- Perceptual properties significantly impact the interpretation of visual features.
- Configural processing is crucial for understanding inferred mappings in information visualizations.
Keywords:
Configural processingDiagramsInformation visualizationPerceptual organizationVisual reasoningMore Related Videos
Related Concept Videos
pV-Diagrams
4.6K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.6K
Vector Algebra: Graphical Method
15.2K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
15.2K
The Representativeness Heuristic
16.4K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.4K
Deductive Reasoning
61.6K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
For example, a researcher can deduce specific predictions...
61.6K
Relation between Mathematical Equations and Block Diagrams
2.2K
In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
2.2K
Inductive Reasoning
63.4K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
63.4K

