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Supporting Visual Data Exploration via Interactive Constraints

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Software Technologies (ICSOFT 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 743))

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Abstract

This work aims to bridge the gap between the goals of the users of information visualization systems and the techniques that are currently available to them for interacting with force-directed layouts. We propose that the benefits from applying positional constraints to graphical objects extend beyond their typical use in network graphs. In particular, a constraint-based approach can be an effective means for aiding users in exploring multivariate data that, by its nature, is difficult to present effectively. Providing easy to use and understand slider components for specifying the strength of constraints applied in a layout gives users the ability to subtly control graphic object positioning. Objects can be filtered and automatically grouped based on the value of one or more properties, with each property representing a different data variable. Applying different constraint strengths to these groups provides an effective means for identifying commonalities and patterns in multivariate data.

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Author information

Authors and Affiliations

  1. Bentley University, Waltham, MA, USA

    Wendy Lucas & Taylor Gordon

Authors
  1. Wendy Lucas
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  2. Taylor Gordon
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Corresponding author

Correspondence to Wendy Lucas .

Editor information

Editors and Affiliations

  1. Edifici Ampliación del Rectorado, Universidad Rey Juan Carlos, Madrid, Spain

    Enrique Cabello

  2. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Jorge Cardoso

  3. Kühne Logistics University – KLU, Hamburg, Germany

    André Ludwig

  4. Wroclaw University of Economics, Wroclaw, Poland

    Leszek A. Maciaszek

  5. Information Systems Group, Enschede, The Netherlands

    Marten van Sinderen

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Lucas, W., Gordon, T. (2017). Supporting Visual Data Exploration via Interactive Constraints. In: Cabello, E., Cardoso, J., Ludwig, A., Maciaszek, L., van Sinderen, M. (eds) Software Technologies. ICSOFT 2016. Communications in Computer and Information Science, vol 743. Springer, Cham. https://doi.org/10.1007/978-3-319-62569-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-62569-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62568-3

  • Online ISBN: 978-3-319-62569-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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