Geometric Abstraction for Effective Visualization and Modeling

Information

  • Publication Type: PhD-Thesis
  • Workgroup(s)/Project(s):
  • Date: August 2019
  • Duration: 90
  • 1st Reviewer: Helwig Hauser
  • 2nd Reviewer: Ingrid Hotz
  • Rigorosum: 19. August 2019
  • First Supervisor: Ivan Viola

Abstract

In this cumulative thesis, I describe geometric abstraction as a strategy to create an integrated visualization system for spatial scientific data. The proposed approach creates a multitude of representations of spatial data in two dominant ways. Along the spatiality axis, it gradually removes spatial details and along the visual detail axis, the features are increasingly aggregated and represented by different visual objects. These representations are then integrated into a conceptual abstraction space that enables users to efficiently change the representation to adjust the abstraction level to a task in mind. To enable the expert to perceive correspondence between these representations, controllable animated transitions are provided. Finally, the abstraction space can record user interactions and provides visual indications to guide the expert towards interesting representations for a particular task and data set. Mental models of the experts play a crucial role in the understanding of the abstract representations and are considered in the design of the visualization system to keep the cognitive load low on the user’s side. This approach is demonstrated in two distinct fields of placenta research and in silico design of DNA nanostructures. For both fields geometric abstraction facilitates effective visual inspection and modeling. The Adenita toolkit, a software for the design of novel DNA nanostructures, implements the proposed visualization concepts. This toolkit, together with the proposed visualization concepts, is currently deployed to several research groups to help them in nanotechnology research.

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BibTeX

@phdthesis{miao_thesis_2019,
  title =      "Geometric Abstraction for Effective Visualization and
               Modeling",
  author =     "Haichao Miao",
  year =       "2019",
  abstract =   "In this cumulative thesis, I describe geometric abstraction
               as a strategy to create an integrated visualization system
               for spatial scientific data. The proposed approach creates a
               multitude of representations of spatial data in two dominant
               ways. Along the spatiality axis, it gradually removes
               spatial details and along the visual detail axis, the
               features are increasingly aggregated and represented by
               different visual objects. These representations are then
               integrated into a conceptual abstraction space that enables
               users to efficiently change the representation to adjust the
               abstraction level to a task in mind. To enable the expert to
               perceive correspondence between these representations,
               controllable animated transitions are provided. Finally, the
               abstraction space can record user interactions and provides
               visual indications to guide the expert towards interesting
               representations for a particular task and data set. Mental
               models of the experts play a crucial role in the
               understanding of the abstract representations and are
               considered in the design of the visualization system to keep
               the cognitive load low on the user’s side. This approach
               is demonstrated in two distinct fields of placenta research
               and in silico design of DNA nanostructures. For both fields
               geometric abstraction facilitates effective visual
               inspection and modeling. The Adenita toolkit, a software for
               the design of novel DNA nanostructures, implements the
               proposed visualization concepts. This toolkit, together with
               the proposed visualization concepts, is currently deployed
               to several research groups to help them in nanotechnology
               research.",
  month =      aug,
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  school =     "Research Unit of Computer Graphics, Institute of Visual
               Computing and Human-Centered Technology, Faculty of
               Informatics, TU Wien ",
  URL =        "/research/publications/2019/miao_thesis_2019/",
}