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

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

2006

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.

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