Visualization and Interpretation
Humanistic Approaches to Display
Published on 10. November 2020
208 pages
978-0-262-36116-3 (ISBN)
Description
An analysis of visual epistemology in the digital humanities, reorienting the creation of digital tools within humanities contexts.
In the several decades since humanists have taken up computational tools, they have borrowed many techniques from other fields, including visualization methods to create charts, graphs, diagrams, maps, and other graphic displays of information. But are these visualizations actually adequate for the interpretative approach that distinguishes much of the work in the humanities? Information visualization, as practiced today, lacks the interpretivist frameworks required for humanities-oriented methodologies. In this book, Johanna Drucker continues her interrogation of visual epistemology in the digital humanities, reorienting the creation of digital tools within humanities contexts.
In the several decades since humanists have taken up computational tools, they have borrowed many techniques from other fields, including visualization methods to create charts, graphs, diagrams, maps, and other graphic displays of information. But are these visualizations actually adequate for the interpretative approach that distinguishes much of the work in the humanities? Information visualization, as practiced today, lacks the interpretivist frameworks required for humanities-oriented methodologies. In this book, Johanna Drucker continues her interrogation of visual epistemology in the digital humanities, reorienting the creation of digital tools within humanities contexts.
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Book
11/2020
MIT Press
€35.90
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Person
Johanna Drucker, book artist, visual theorist, and cultural critic, is Martin and Bernard Breslauer Professor in the Department of Information Studies at the Graduate School of Education and Information Studies at the University of California, Los Angeles.
Content
Framework: Creating the Right Tools and Platforms
1. Visual Knowledge (or Graphesis): Is Drawing as Powerful as Computation?
2. Interpretation as Probabilistic: Showing How a Text is Made by Reading
3. Graphic Arguments: Nonrepresentational Approaches to Modelling Interpretation
4. Interface and Enuncition, or, Who Is Speaking?
5. The Projects in Modeling Interpretation, or, Can We Make Arguments Visually?
Appendix: Design Concepts and Prototypes
Notes
Index
1. Visual Knowledge (or Graphesis): Is Drawing as Powerful as Computation?
2. Interpretation as Probabilistic: Showing How a Text is Made by Reading
3. Graphic Arguments: Nonrepresentational Approaches to Modelling Interpretation
4. Interface and Enuncition, or, Who Is Speaking?
5. The Projects in Modeling Interpretation, or, Can We Make Arguments Visually?
Appendix: Design Concepts and Prototypes
Notes
Index
