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Authors: Hans-Jörg Schulz 1 ; Martin Röhlig 2 ; Lars Nonnemann 3 ; Mario Aehnelt 3 ; Holger Diener 3 ; Bodo Urban 3 and Heidrun Schumann 2

Affiliations: 1 Department of Computer Science, Aarhus University, Åbogade 34, 8200 Aarhus N and Denmark ; 2 Institute of Computer Science, University of Rostock, Albert-Einstein-Straße 22, 18059 Rostock and Germany ; 3 Fraunhofer Institute of Computer Graphics Research, Joachim-Jungius-Straße 11, 18059 Rostock and Germany

Keyword(s): Visual Analytics, Software Integration, View Coordination, Unified Interface.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Visual Data Analysis and Knowledge Discovery ; Visualization Taxonomies and Models

Abstract: With the advancement of Visual Analytics (VA) and its spread into various application fields comes along a specialization of methods and tools. This adds complexity and requires extra effort when devising domain-dependent VA solutions, as for every new domain question a new specialized tool or framework must be developed. In this paper, we investigate the possibility of using and re-using existing tools – domain-dependent and general-purpose – by loosely coupling them into specialized VA tool ensembles as needed. We call such coupling among independent tools lightweight coordination, as it is minimally-invasive, pair-wise, and opportunistic in utilizing whichever interface a VA tool offers. We propose the use of lightweight coordination for managing the workflow, the data flow, and the control flow among VA tools, and we show how it can be supported with suitable setups of the multiple tool UIs involved. This concept of lightweight coordination is exemplified with a health care scena rio, where an ensemble of independent VA tools is used in a concerted way to pursue the visual analysis of a patient’s troublesome vital data. (More)

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Paper citation in several formats:
Schulz, H.; Röhlig, M.; Nonnemann, L.; Aehnelt, M.; Diener, H.; Urban, B. and Schumann, H. (2019). Lightweight Coordination of Multiple Independent Visual Analytics Tools. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 106-117. DOI: 10.5220/0007571101060117

@conference{ivapp19,
author={Hans{-}Jörg Schulz. and Martin Röhlig. and Lars Nonnemann. and Mario Aehnelt. and Holger Diener. and Bodo Urban. and Heidrun Schumann.},
title={Lightweight Coordination of Multiple Independent Visual Analytics Tools},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP},
year={2019},
pages={106-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007571101060117},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP
TI - Lightweight Coordination of Multiple Independent Visual Analytics Tools
SN - 978-989-758-354-4
IS - 2184-4321
AU - Schulz, H.
AU - Röhlig, M.
AU - Nonnemann, L.
AU - Aehnelt, M.
AU - Diener, H.
AU - Urban, B.
AU - Schumann, H.
PY - 2019
SP - 106
EP - 117
DO - 10.5220/0007571101060117
PB - SciTePress

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