Readings in Information Visualization: Using Vision to Think
E874566
Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Readings in Information Visualization: Using Vision to Think canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10602348 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Readings in Information Visualization: Using Vision to Think Context triple: [Stuart K. Card, notableWork, Readings in Information Visualization: Using Vision to Think]
-
A.
On Vision and Colors
On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
-
B.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
-
C.
Onyx visualization systems
Onyx visualization systems are high-performance graphics supercomputers from SGI designed for advanced 3D visualization, simulation, and scientific computing applications.
-
D.
ImageWorks: The What-If Labs
ImageWorks: The What-If Labs is an interactive, hands-on exhibit at Epcot where guests can explore creativity and sensory illusions through playful, imaginative experiments.
-
E.
Learning from Las Vegas
Learning from Las Vegas is an influential architectural theory book by Robert Venturi, Denise Scott Brown, and Steven Izenour that helped define postmodern architecture by championing the symbolism and vernacular of commercial landscapes like the Las Vegas Strip.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Readings in Information Visualization: Using Vision to Think Target entity description: Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
-
A.
On Vision and Colors
On Vision and Colors is Arthur Schopenhauer’s early philosophical treatise that expands and critiques Goethe’s color theory by offering a metaphysical and physiological account of human color perception.
-
B.
The Psychology of Computer Vision (edited volume)
The Psychology of Computer Vision is an influential edited volume, compiled by Patrick Henry Winston, that brings together foundational research exploring how principles of human perception and cognition can inform and advance computer vision.
-
C.
Onyx visualization systems
Onyx visualization systems are high-performance graphics supercomputers from SGI designed for advanced 3D visualization, simulation, and scientific computing applications.
-
D.
ImageWorks: The What-If Labs
ImageWorks: The What-If Labs is an interactive, hands-on exhibit at Epcot where guests can explore creativity and sensory illusions through playful, imaginative experiments.
-
E.
Learning from Las Vegas
Learning from Las Vegas is an influential architectural theory book by Robert Venturi, Denise Scott Brown, and Steven Izenour that helped define postmodern architecture by championing the symbolism and vernacular of commercial landscapes like the Las Vegas Strip.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
anthology
ⓘ
book ⓘ computer science book ⓘ |
| aim |
to show how visual representations support human thinking
ⓘ
to support data analysis through visualization ⓘ |
| contains |
classic articles on visual thinking
ⓘ
foundational research papers in information visualization ⓘ key perspectives on visualization design ⓘ |
| countryOfPublication |
United States of America
ⓘ
surface form:
United States
|
| describedAs | influential anthology in information visualization ⓘ |
| editor |
Ben Shneiderman
NERFINISHED
ⓘ
Jock D. Mackinlay NERFINISHED ⓘ Stuart K. Card NERFINISHED ⓘ |
| field |
data visualization
ⓘ
human–computer interaction ⓘ information visualization ⓘ |
| focus |
linking perception and interaction in visualization
ⓘ
using vision to amplify cognition ⓘ |
| hasPart |
editorial commentaries
ⓘ
introductory overview chapters ⓘ reprinted seminal papers ⓘ |
| intendedAudience |
graduate students in computer science
ⓘ
practitioners of data visualization ⓘ researchers in information visualization ⓘ |
| language | English ⓘ |
| notableFor |
collecting seminal visualization papers in one volume
ⓘ
influencing early curricula in information visualization ⓘ |
| publicationYear | 1999 ⓘ |
| publisher | Morgan Kaufmann NERFINISHED ⓘ |
| relatedTo |
Information Visualization (research field)
NERFINISHED
ⓘ
The Visual Display of Quantitative Information NERFINISHED ⓘ |
| shortTitle | Readings in Information Visualization NERFINISHED ⓘ |
| subject |
cognitive aspects of visualization
ⓘ
data analysis ⓘ design of visual interfaces ⓘ human perception ⓘ interaction techniques ⓘ visual representations of information ⓘ |
| timePeriodCovered | early foundational era of information visualization research ⓘ |
| title | Readings in Information Visualization: Using Vision to Think NERFINISHED ⓘ |
| usedAs | textbook in information visualization courses ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Readings in Information Visualization: Using Vision to Think Description of subject: Readings in Information Visualization: Using Vision to Think is an influential anthology that compiles foundational research and key perspectives on how visual representations support human thinking and data analysis in the field of information visualization.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.