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International Symposium on End User Development

IS-EUD 2017: End-User Development pp 150–166Cite as

An Integration of Empirical Study Participants into the Mobile Data Analysis Through Information Visualization

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10303))

Abstract

Visualizations are mainly used for providing an easy access to complex information and data. Collaborative visualization as the shared use of computer supported, visual representations of data by more than one person aims to joint information processing activities. Within this paper we apply the concept of collaborative information visualization to the field of analysis of mobile device data. By linking the concept of Quantified Self to our approach, we derive an application for integrating end users into the analysis of mobile device data provided by them. Based on its evaluation we were able to make informed statements about the main enablers for data analysis from an end-user’s perspective such as the interest in the own behavior, the comparison with other study participants as well as the importance of an appropriate baseline.

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Author information

Authors and Affiliations

  1. Institute for Information Systems, University of Siegen, Siegen, Germany

    Thomas Ludwig, Kevin Schneider & Volkmar Pipek

Authors
  1. Thomas Ludwig
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  2. Kevin Schneider
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  3. Volkmar Pipek
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Corresponding author

Correspondence to Thomas Ludwig .

Editor information

Editors and Affiliations

  1. Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil

    Simone Barbosa

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Panos Markopoulos

  3. C.N.R. - ISTI , Pisa, Italy

    Fabio Paternò

  4. City, University of London, London, United Kingdom

    Simone Stumpf

  5. Università degli Studi di Milano, Milan, Italy

    Stefano Valtolina

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© 2017 Springer International Publishing AG

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Ludwig, T., Schneider, K., Pipek, V. (2017). An Integration of Empirical Study Participants into the Mobile Data Analysis Through Information Visualization. In: Barbosa, S., Markopoulos, P., Paternò, F., Stumpf, S., Valtolina, S. (eds) End-User Development. IS-EUD 2017. Lecture Notes in Computer Science(), vol 10303. Springer, Cham. https://doi.org/10.1007/978-3-319-58735-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-58735-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58734-9

  • Online ISBN: 978-3-319-58735-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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