Skip to main content

Towards an Adaptive Visualization System in Context-Aware Environments

  • Conference paper
  • First Online:
Context-Aware Systems and Applications (ICCASA 2013)

Abstract

To provide good visibility of present and potential future contexts and improve system usability and effectiveness, context-aware systems need support for developing effective visualizations of both context and user problem data. However, it is quite difficult to maintain visualization effectiveness across different problem domains, stakeholders, purposes and/or time. Although many existing visualization techniques can provide reasonable support for developing visualizations effective under a certain context, they are still weak for maintaining visualization effectiveness under varying contexts. To address these problems and requirements, this paper discusses contextual factors that may affect visualization effectiveness and proposes a context adaptive visualization framework to guide the development of visualization systems that can be embedded in or used together with context-aware systems in order to develop and maintain effective visualizations. Furthermore, it demonstrates an implementation of the proposed framework through a sequence of context-driven visualizations.

The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-05939-6_37

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Bellotti, V., Edwards, K.: Intelligibility and accountability: human considerations in context-aware systems. Hum. Comput. Interact. 16, 193–212 (2001)

    Article  Google Scholar 

  2. Dey, A.K.: Understanding and using context. Pers. Ubiquit. Comput. 5(1), 4–7 (2001)

    Article  Google Scholar 

  3. Hong, J., Suh, E., Kim, S.J.: Context-aware systems: a literature review and classification. Expert Syst. Appl. 36(4), 8509–8522 (2009)

    Article  Google Scholar 

  4. Vrbaski, M., Mussbacher, G., Petriu, D., Amyot, D.: Goal models as run-time entities in context-aware systems. In: 7th Workshop on Models@run.time (MRT ‘12), pp. 3−8. ACM, New York (2012)

    Google Scholar 

  5. Mori, M.: A software lifecycle process for context-aware adaptive systems. In: 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering (ESEC/FSE ‘11), pp. 412−415. ACM, New York (2011)

    Google Scholar 

  6. Spence, R.: Information Visualization: Design for Interaction, 2nd edn. Prentice Hall, Saddle River (2007)

    Google Scholar 

  7. Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Morgan Kaufman, San Francisco (1999)

    Google Scholar 

  8. Heer, J., Shneiderman, B.: Interactive dynamics for visual analysis. Commun. ACM 55(4), 45–54 (2012)

    Article  Google Scholar 

  9. Schmidt, A., Aidoo, K.A., Takaluoma, A., Tuomela, U., Van Laerhoven, K., Van de Velde, W.: Advanced interaction in context. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 89–101. Springer, Heidelberg (1999)

    Google Scholar 

  10. Ziemkiewicz, C., Kosara, R.: Implied dynamics in information visualization. In: The International Conference on Advanced Visual Interfaces, pp. 215−222. ACM, New York (2010)

    Google Scholar 

  11. Schilit, B., Adams, N., Want, R.: Context-aware computing applications. In: IEEE Workshop on Mobile Computing Systems and Applications, Santa Cruz, California, pp. 85−90 (1994)

    Google Scholar 

  12. Wu, Z., Chen, Y.: Context awareness and modeling in self-adaptive geo-information visualization. In: 24th International Cartographic Conferences, Santiago (2009)

    Google Scholar 

  13. Dreyfus, H.L., Dreyfus, S.E.: Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer. Free Press, New York (1986)

    Google Scholar 

  14. IBM Many Eyes, Visualization Options Available in Many Eyes. http://www958.ibm.com/software/analytics/manyeyes/page/Visualization_Options.html (2013)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaoyan Bai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Bai, X., White, D., Sundaram, D. (2014). Towards an Adaptive Visualization System in Context-Aware Environments. In: Vinh, P., Alagar, V., Vassev, E., Khare, A. (eds) Context-Aware Systems and Applications. ICCASA 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-319-05939-6_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05939-6_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05938-9

  • Online ISBN: 978-3-319-05939-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics