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Content archived on 2024-06-18

Illustrative Visualization of Processes

Objective

The central focus the research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined.

The science of visualization has already gained some understanding of structural visual abstraction. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives.

Upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. Solving individual visualization problems of this target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the biology domain.

Call for proposal

FP7-PEOPLE-2013-CIG
See other projects for this call

Coordinator

TECHNISCHE UNIVERSITAET WIEN
EU contribution
€ 100 000,00
Address
KARLSPLATZ 13
1040 Wien
Austria

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Region
Ostösterreich Wien Wien
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Werner Purgathofer (Prof.)
Links
Total cost
No data