Skip to main content
SpringerLink
Log in

Collaborative Visualization for Supporting the Analysis of Mobile Device Data

  • Conference paper
  • First Online:
ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway

Abstract

Visualizations are mainly used for providing easy access to complex information and data. Within this paper we focus on how visualization itself can serve as a collaborative aspect within distributed and asynchronous team work. In doing so, we try to uncover challenges to support a team of researchers in understanding and analyzing mobile data by collaborative visualization. Based on a review of recent literature, two workshops with participants from the academic field were conducted, which revealed use cases and major design challenges for a collaborative visualization approach. With our user-centered study, we introduce design implications for collaborative visualizations that focus on research questions instead on single visualizations, embed multiple visualizations into a discussion thread, highlight relations between research artefacts as well as include external parties in collaborative visualizations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bannon, L. J., & Schmidt, K. (1991). Studies in computer supported cooperative work (pp. 3–16). Amsterdam: North-Holland Publishing Co.

    Google Scholar 

  • Bresciani, S., & Eppler, M. (2009). The benefits of synchronous collaborative information visualization: Evidence from an experimental evaluation. IEEE Transactions on Visualization and Computer Graphics, 15(6), 1073–1080.

    Article  Google Scholar 

  • Card, S. K., Mackinlay, J. D., & Shneiderman, B. (Eds.). (1999). Readings in information visualization: Using vision to think. Burlington: Morgan Kaufmann.

    Google Scholar 

  • Chen, M., Ebert, D., Hagen, H., Laramee, R., Van Liere, R., Ma, K.-L., et al. (2009). Data, information, and knowledge in visualization. Computer Graphics and Applications, 29(1), 12–19.

    Google Scholar 

  • Danis, C. M., Viegas, F. B., Wattenberg, M., & Kriss, J. (2008). Your place or mine: Visualization as a community component. In Proceedings Human Factors in Computing Systems (pp. 275–284).

    Google Scholar 

  • Hagen, P., Robertson, T., & Sadler, K. (2007). Accessing data: methods for understanding mobile technology use. Australasian Journal of Information Systems, 13(2), 135–149.

    Google Scholar 

  • Heer, J., & Agrawala, M. (2008). Design considerations for collaborative visual analytics. Information Visualization, 7(1), 49–62.

    Article  Google Scholar 

  • Heer, J., Viegas, F. B., & Wattenberg, M. (2009). Voyagers and voyeurs: Supporting asynchronous collaborative visualization. Communications ACM, 52(1), 87–97.

    Article  Google Scholar 

  • Isenberg, P., & Carpendale, S. (2007). Interactive tree comparison for co- located collaborative information visualization. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1232–1239.

    Article  Google Scholar 

  • Isenberg, P., Elmqvist, N., Scholtz, J., Cernea, D., Ma, K.-L., & Hagen, H. (2011). Collaborative visualization: definition, challenges, and research agenda. Information Visualization, 10(4), 310–326.

    Article  Google Scholar 

  • Isenberg, P., Tang, A., & Carpendale, S. (2008). An exploratory study of visual information analysis. In Proceedings of Human Factors in Computing Systems (pp. 1217–1226).

    Google Scholar 

  • Kim, K., Javed, W., Williams, C., Elmqvist, N., & Irani, P. (2010). Hugin: A framework for awareness and coordination in mixed-presence collaborative information visualization. In Proceedings of Interactive Tabletops and Surfaces (pp. 231–240). New York: ACM.

    Google Scholar 

  • Ludwig, T., & Scholl, S. (2014). Participatory sensing im Rahmen empirischer Forschung. In Mensch und Computer 2014—Tagungsband: Interaktiv unterwegs—Freiräume gestalten, Hrsg. v. Butz, Andreas; Koch, Michael; Schlichter, Johann, München, Oldenbourg-Verlag, pp. 145–154.

    Google Scholar 

  • Mark, G., Kobsa, A., & Gonzalez, V. (2002). Do four eyes see better than two? Collaborative versus individual discovery in data visualization systems. In Proceedings of Information visualization (pp. 249–255).

    Google Scholar 

  • Viegas, F., Wattenberg, M., van Ham, F., Kriss, J., & McKeon, M. (2007). Manyeyes: A site for visualization at internet scale. Transactions on Visualization and Computer Graphics, 13(6), 1121–1128.

    Article  Google Scholar 

  • Willett, W., Heer, J., Hellerstein, J., & Agrawala, M. (2011). Commentspace: Structured support for collaborative visual analysis. In Proceedings of Human Factors in Computing Systems (pp. 3131–3140).

    Google Scholar 

  • Wood, J., Wright, H., & Brodie, K. (1997). Collaborative visualization. In Proceedings of Visualization (p. 253–259).

    Google Scholar 

Download references

Author information

Authors and Affiliations

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

    Thomas Ludwig, Tino Hilbert & Volkmar Pipek

Authors
  1. Thomas Ludwig
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tino Hilbert
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Volkmar Pipek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thomas Ludwig .

Editor information

Editors and Affiliations

  1. Department of Media, Cognition and Communication, The University of Copenhagen, Department of Media, Cognition and Communication, Copenhagen, Denmark

    Nina Boulus-Rødje

  2. The University of Tromsø - The Arctic University of Norway, Telemedicine & eHealth Research Group, Tromsø, Norway

    Gunnar Ellingsen

  3. University of Oslo, Department of Informatics, Oslo, Norway

    Tone Bratteteig

  4. University of Oslo, Department of Informatics, Oslo, Norway

    Margunn Aanestad

  5. Department of Computer Science, The University of Copenhagen, Department of Computer Science, Copenhagen, Denmark

    Pernille Bjørn

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Ludwig, T., Hilbert, T., Pipek, V. (2015). Collaborative Visualization for Supporting the Analysis of Mobile Device Data. In: Boulus-Rødje, N., Ellingsen, G., Bratteteig, T., Aanestad, M., Bjørn, P. (eds) ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway. Springer, Cham. https://doi.org/10.1007/978-3-319-20499-4_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20499-4_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20498-7

  • Online ISBN: 978-3-319-20499-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation