A FUZZY-BASED DISTANCE TO IMPROVE EMPIRICAL METHODS FOR MENU CLUSTERING

Cristina Coppola, Gennaro Costagliola, Sergio Di Martino, Filomena Ferrucci, Tiziana Pacelli

Abstract

An effective menu organization is fundamental to obtain usable applications. A common practice to achieve this is to adopt empirical methods in the menu design phase, by requesting a number of intended final users to provide their ideal tasks arrangements. However, to improve the effectiveness of this approach, it is necessary to filter results, by identifying and discarding data coming from subjects whose mental models are too weak on the considered domain. To this aim, in the paper, we propose a formal tool suited to support menu designers, which is based on a fuzzy-based distance we defined. This measure can be easily calculated on the empirical datasets, thanks to a specifically conceived supporting application we developed. As a result, by exploiting the proposed solution, menu designers can rely on a formal tool to evaluate significance of empirical data, thus leading towards more effective menu clustering.

References

  1. Di Martino S., Multimodal Automotive Telematics Systems: Design and Evaluation. PhD Thesis. University of Salerno, Italy, 2005.
  2. Huang T., Deza M.,. Metrics on Permutations, a Survey, Journal of Combinatorics, Information and System Sciences, Vol. 23, Nos. 1-4, 1 Pages 73-185, NSC85- 2121-M009-012, 1998.
  3. Lee, E. and MacGregor, J. Minimizing user search time in menu retrieval systems, Human Factors, 27, 1985.
  4. Moraglio A., Poli R. Topological Crossover for the Permutation Representation, Technical Report CSM408, University of Essex, 2004.
  5. Norman, K. The Psychology of Menu Selection. Norwood, New Jersey, Ablex Publishing Corporation. 1991.
  6. Shneiderman B. Designing the User Interfaces, Addison Wesley, 1998.
  7. Sears A., Shneiderman B., Split Menus: Effectively Using Selection Frequency to Organize Menus, ACM Transactions on Computer-Human Interaction, Vol. 1, No. 1, March 1994, Pages 27-51.
  8. Toms M., Cummings-Hill M., Curry D. Cone S. Using Cluster Analysis for Deriving Menu Structures for Automotive Mobile Multimedia Applications. In Human Factors in Automotive Design, 2001 Wickens, C.D. Engineering Psychology and Human Performance, Columbus, Ohio, Charles E. Merrill Publishing Company, 1984.
  9. Zadeh L.A. Fuzzy sets, Information Control n° 8, Pages 338-353, 1965.
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Paper Citation


in Harvard Style

Coppola C., Costagliola G., Di Martino S., Ferrucci F. and Pacelli T. (2006). A FUZZY-BASED DISTANCE TO IMPROVE EMPIRICAL METHODS FOR MENU CLUSTERING . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-972-8865-45-0, pages 59-64. DOI: 10.5220/0002466800590064


in Bibtex Style

@conference{iceis06,
author={Cristina Coppola and Gennaro Costagliola and Sergio Di Martino and Filomena Ferrucci and Tiziana Pacelli},
title={A FUZZY-BASED DISTANCE TO IMPROVE EMPIRICAL METHODS FOR MENU CLUSTERING},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2006},
pages={59-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002466800590064},
isbn={978-972-8865-45-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - A FUZZY-BASED DISTANCE TO IMPROVE EMPIRICAL METHODS FOR MENU CLUSTERING
SN - 978-972-8865-45-0
AU - Coppola C.
AU - Costagliola G.
AU - Di Martino S.
AU - Ferrucci F.
AU - Pacelli T.
PY - 2006
SP - 59
EP - 64
DO - 10.5220/0002466800590064