Skip to main content
SpringerLink
Log in
Book cover

Handbook of Human Centric Visualization pp 653–670Cite as

Interaction Taxonomy for Tracking of User Actions in Visual Analytics Applications

  • Chapter
  • First Online:

Abstract

In various application areas (social science, transportation, or medicine) analysts need to gain knowledge from large amounts of data. This analysis is often supported by interactive Visual Analytics tools that combine automatic analysis with interactive visualization. Such a data analysis process is not streamlined, but consists of several steps and feedback loops. In order to be able to optimize the process, identify problems, or common problem solving strategies, recording and reproducibility of this process is needed. This is facilitated by tracking of user actions categorized according to a taxonomy of interactions.Visual Analytics includes several means of interaction that are differentiated according to three fields: information visualization, reasoning, and data processing. At present, however, only separate taxonomies for interaction techniques exist in these three fields. Each taxonomy covers only a part of the actions undertaken in Visual Analytics. Moreover, as they use different foundations (user intentions vs. user actions) and employ different terminology, it is not clear to what extent they overlap and cover the whole Visual Analytics interaction space. We therefore first compare them and then elaborate a new integrated taxonomy in the context of Visual Analytics.In order to show the usability of the new taxonomy, we specify it on visual graph analysis and apply it to the tracking of user interactions in this area.

This is a preview of subscription content, 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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
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

Learn about institutional subscriptions

References

  1. Bertini, E., Lalanne, D.: Surveying the complementary role of automatic data analysis and visualization in knowledge discovery. In: Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery, pp. 12–20 (2009)

    Google Scholar 

  2. Card, S.C., Mackinlay, J., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers (1999)

    Google Scholar 

  3. Chen, Y., Barlowe, S., Yang, J.: Click2annotate: Automated insight externalization with rich semantics. In: IEEE Symposium on Visual Analytics Science and Technology, pp. 155–162. IEEE (2010)

    Google Scholar 

  4. Gotz, D., Zhou, M.: Characterizing users’ visual analytic activity for insight provenance. In: Proceedings of IEEE Symposium on Visual Analytics Science and Technology, pp. 123–130 (2008)

    Google Scholar 

  5. Heer, J., Mackinlay, J., Stolte, C., Agrawala, M.: Graphical histories for visualization: Supporting analysis, communication, and evaluation. Visualization and Computer Graphics, IEEE Transactions on 14(6), 1189–1196 (2008)

    Article  Google Scholar 

  6. Heer, J., Shneiderman, B.: Interactive dynamics for visual analysis. Queue 10(2), 30 (2012)

    Article  Google Scholar 

  7. Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F.: Mastering The Information Age-Solving Problems with Visual Analytics. EuroGraphics (2010)

    Google Scholar 

  8. Keim, D.A., Mansmann, F., Schneidewind, J., Thomas, J., Ziegler, H.: Visual analytics: Scope and challenges, visual data mining: Theory, techniques and tools for visual analytics. Lecture Notes In Computer Science (lncs) 4404, 76–90 (2008)

    Google Scholar 

  9. von Landesberger, T., Kuijper, A., Schreck, T., Kohlhammer, J., van Wijk, J., Fekete, J.D., Fellner, D.: Visual analysis of large graphs: State-of-the-art and future research challenges. Computer Graphics Forum 30(6), 1719–1749 (2011)

    Article  Google Scholar 

  10. Lipford, H., Stukes, F., Dou, W., Hawkins, M., Chang, R.: Helping users recall their reasoning process. Proc. VAST’10 pp. 187–194 (2010)

    Google Scholar 

  11. Thomas, J.J., Cook, K.A.: Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics Center (2005)

    Google Scholar 

  12. US National Library of Medicine National Institutes of Health: PubMed database. online. URL http://www.ncbi.nlm.nih.gov/pubmed/

  13. Ware, C.: Information visualization: Perception for Design. Morgan Kaufmann (2000)

    Google Scholar 

  14. Yi, J.S., Kang, Y.a., Stasko, J., Jacko, J.: Toward a deeper understanding of the role of interaction in information visualization. IEEE Transactions on Visualization and Computer Graphics 13(6), 1224–1231 (2007). DOI http://dx.doi.org/10.1109/TVCG.2007.70515

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank DFG for the financial support within SPP Scalable Visual Analytics Programme (SPP 1335). We are thankful to our partners within the THESEUS program for providing us with the data.

Author information

Authors and Affiliations

  1. Head of Junior Research Group Within the Graphics Interactive Systems Group at Technische Universität Darmstadt, Darmstadt, Germany

    Tatiana von Landesberger

  2. Student at Technische Universität Darmstadt, Darmstadt, Germany

    Sebastian Fiebig

  3. PhD Student at Technische Universität Darmstadt, Darmstadt, Germany

    Sebastian Bremm

  4. Private Lecturer at Technische Universität Darmstadt, Darmstadt, Germany

    Arjan Kuijper

  5. Research Coach at Fraunhofer IGD, Darmstadt, Germany

    Arjan Kuijper

  6. Technische Universität Darmstadt, Darmstadt, Germany

    Dieter W. Fellner (Full Professor)

  7. Leading Graphics-Interactive Systems Group, Head of Fraunhofer IGD, Darmstadt, Germany

    Dieter W. Fellner (Full Professor)

Authors
  1. Tatiana von Landesberger
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sebastian Fiebig
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sebastian Bremm
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Arjan Kuijper
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dieter W. Fellner
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tatiana von Landesberger .

Editor information

Editors and Affiliations

  1. CSIRO ICT Centre, Marsfield, New South Wales, Australia

    Weidong Huang

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this chapter

Cite this chapter

von Landesberger, T., Fiebig, S., Bremm, S., Kuijper, A., Fellner, D.W. (2014). Interaction Taxonomy for Tracking of User Actions in Visual Analytics Applications. In: Huang, W. (eds) Handbook of Human Centric Visualization. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7485-2_26

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7485-2_26

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7484-5

  • Online ISBN: 978-1-4614-7485-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation