Declarative Visualization

Information

• Publication Type: Invited Talk
• Workgroup(s)/Project(s):
  • Visual Computing: Illustrative Visualization
• Date: 2013
• Event: SCCG 2013
• Location: Smolenice castle, Slovakia
• Conference date: 2. May 2013 –

Abstract

Visualization algorithms are nowadays formalized in an imperative manner, i.e. the algorithm is explicitly executed on input data and dictates a determined visualization outcome. The efficiency of such an algorithm is measured by means of the computational performance, data-scalability and user studies. In my talk I will speculate on a novel theoretical concept for the development of new visualization methodology that becomes ultimately declarative and algorithm-free, by moving the user study from a validation stage into the center of the iterative design stage. Initial visualization from input data is considered as the first design draft, which will undergo several revisions. This draft can be achieved by executing a traditional imperative algorithm or it can even be hand-crafted by a skilled illustrator. A consequent user study of initial visualization will trigger computational synthesis of a new, quantitatively more effective visualization technique. The visualization designs developed through several iterations of the study-redesign cycle will become declarative, aiming at optimally satisfying the purpose of the visualization, instead of explicit execution of algorithms on the input data. The declarative component will be specified by collected user statistics from completing certain perceptual or cognitive tasks. The user statistics will be analyzed for systematic trends in human perceptual and cognitive performance. These trends will form a basis for visualization redesign. Final satisfactory visualization will evolve over several design iterations.

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BibTeX

@talk{Viola_Ivan_2013_DC,
  title =      "Declarative Visualization",
  author =     "Ivan Viola",
  year =       "2013",
  abstract =   "Visualization algorithms are nowadays formalized in an
               imperative manner, i.e. the algorithm is explicitly executed
               on input data and dictates a determined visualization
               outcome.  The efficiency of such an algorithm is measured by
               means of the computational performance, data-scalability and
               user studies. In my talk I will speculate on a novel
               theoretical concept for the development of new visualization
               methodology that becomes ultimately declarative and
               algorithm-free, by moving the user study from a validation
               stage into the center of the iterative design stage. Initial
               visualization from input data is considered as the first
               design draft, which will undergo several revisions. This
               draft can be achieved by executing a traditional imperative
               algorithm or it can even be hand-crafted by a skilled
               illustrator. A consequent user study of initial
               visualization will trigger computational synthesis of a new,
               quantitatively more effective visualization technique. The
               visualization designs developed through several iterations
               of the study-redesign cycle will become declarative, aiming
               at optimally satisfying the purpose of the visualization,
               instead of explicit execution of algorithms on the input
               data. The declarative component will be specified by
               collected user statistics from completing certain perceptual
               or cognitive tasks. The user statistics will be analyzed for
               systematic trends in human perceptual and cognitive
               performance.  These trends will form a basis for
               visualization redesign. Final satisfactory visualization
               will evolve over several design iterations.",
  event =      "SCCG 2013",
  location =   "Smolenice castle, Slovakia",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/",
}