Lightweight Coordination of Multiple Independent Visual Analytics Tools

Hans-Jörg Schulz, Martin Röhlig, Lars Nonnemann, Mario Aehnelt, Holger Diener, Bodo Urban, Heidrun Schumann

2019

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 scenario, 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.

Paper Citation

in Harvard Style

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) - Volume 3: IVAPP; ISBN 978-989-758-354-4, SciTePress, pages 106-117. DOI: 10.5220/0007571101060117

in Bibtex Style

@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) - Volume 3: IVAPP},
year={2019},
pages={106-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007571101060117},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP
TI - Lightweight Coordination of Multiple Independent Visual Analytics Tools
SN - 978-989-758-354-4
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