MULTIDIMENSIONAL INFORMATION VISUALIZATION TECHNIQUES - Evaluating a Taxonomy of Tasks with the Participation of the Users

Eliane Regina de Almeida Valiati, Josué Toebe, Antonio Flávio Gomes, Milene Andréa Guadagnin, Leandro Luis Bianchi, João Roberto Telles

2009

Abstract

Multidimensional information visualization techniques has the potential to assist in the analysis and understanding of large volumes of data by detecting patterns, clusters and trends which are not obvious, when using non-graphical forms of presentation. When developing a visualization technique, the analytic and exploratory tasks that a user might need or want to perform on the data should guide the choice of the visual and interaction metaphors implemented by the technique. Usability tests of techniques for visualization also need a clear definition of tasks of the user. The identification and understanding of these tasks is a matter of recent research in the area of visualization of information and some works have proposed taxonomies to organize them. This paper describes an experimental evaluation of a classification based on the observation of different profiles of users performing tasks in exploratory data using multidimensional visualization techniques.

References

  1. Amar, R., Stasko, J., Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations, Proc. IEEE Symposium on Information Visualization (2004), 143-149.
  2. Amar, R., Eagan, J., Stasko, J., Low-Level Components of Analytic Activity in Information Visualization. Proc. IEEE Symposium on Information Visualization (2005), 111-147.
  3. Hoffman, P.E. Table Visualization: A formal Model and Its Aplications. Computer Science Dept., University of Massachusetts at Lowell, 1999 (Doctoral Dissertation).
  4. Stasko, J. Evaluating Information Visualizations: Issues and Opportunities. Proc. BELIV'06 - Beyond Time and Errors: Novel Evaluation Methods for Information Visualization - a Workshop of AVI'06, (2006), 5-8.
  5. Seo, J. and Shneiderman, B. Knowledge discovery in high dimensional data: Case studies and a user survey for the rank-by-feature framework. IEEE Trans. On Visualization and Computer Graphics 12, 3 (May/June, 2006), 311-322.
  6. Shneiderman, B., The Eyes Have It: A Task by Data Type Taxonomy for Information Visualization, IEEE Symposium on Visual Languages, 12, (1996), 326-343.
  7. Shneiderman, B., Plaisant, C. Strategies for Evaluating Information Visualization Tools: Multi-dimensional In-depth Long-term Case Studies. Proc. BELIV'06 - Beyond Time and Errors: Novel Evaluation Methods for Information Visualization - a Workshop of AVI'06, (2006), 38-43.
  8. Springmeyer, R., Blattner, M. and Max, N.L., A characterization of the scientific data analysis process, Proc. IEEE Visualization'92, IEEE Computer Society, (1992), 235 - 242.
  9. Weherend, S., Lewis, C. A Problem-oriented Classification of Visualization Techniques. Proc. IEEE Visualization'90. IEEE Computer Society (1990). 139-143.
  10. Zhou, M., Feiner, S. K., Visual Task Characterization for Automated Visual Discourse Synthesis, Proc. CHI'98 Conference, ACM Press, (1998), 392-399.
Download


Paper Citation


in Harvard Style

Regina de Almeida Valiati E., Toebe J., Flávio Gomes A., Andréa Guadagnin M., Luis Bianchi L. and Roberto Telles J. (2009). MULTIDIMENSIONAL INFORMATION VISUALIZATION TECHNIQUES - Evaluating a Taxonomy of Tasks with the Participation of the Users . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 311-314. DOI: 10.5220/0002305903110314


in Bibtex Style

@conference{kdir09,
author={Eliane Regina de Almeida Valiati and Josué Toebe and Antonio Flávio Gomes and Milene Andréa Guadagnin and Leandro Luis Bianchi and João Roberto Telles},
title={MULTIDIMENSIONAL INFORMATION VISUALIZATION TECHNIQUES - Evaluating a Taxonomy of Tasks with the Participation of the Users},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={311-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002305903110314},
isbn={978-989-674-011-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - MULTIDIMENSIONAL INFORMATION VISUALIZATION TECHNIQUES - Evaluating a Taxonomy of Tasks with the Participation of the Users
SN - 978-989-674-011-5
AU - Regina de Almeida Valiati E.
AU - Toebe J.
AU - Flávio Gomes A.
AU - Andréa Guadagnin M.
AU - Luis Bianchi L.
AU - Roberto Telles J.
PY - 2009
SP - 311
EP - 314
DO - 10.5220/0002305903110314