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AutoCardSorter: Designing the information architecture of a Web site using Latent Semantic Analysis
[c133] Katsanos C., Tselios N., Avouris N. (2008). AutoCardSorter: Designing the information architecture of a Web site using Latent Semantic Analysis. In Proceedings of the SIGCHI conference on Human factors in computing systems, CHI 2008 {Vol1, ISBN:978-1-60558-011-1}, p.p. 875-878, Florence, Italy: ACM Press, April 5-10, 2008. Acceptance rate: 18%, doi: 10.1145/1357054.1357192 (pdf) (presentation).

ABSTRACT

In this paper we describe an innovative, tool that supports the design and evaluation of the information architecture of a Web site. The tool uses Latent Semantic Analysis and hierarchical clustering algorithms to provide optimal information navigation schemes in an automated manner. The proposed tool-based approach addresses the problem of reasonable content structuring, which established techniques such as card sorting also address. A real world case study depicted substantial effectiveness gain without expense in the quality of results. We argue that such an approach could facilitate information-rich applications design, like most Web sites, by reducing time and resources required.

AUTHOR KEYWORDS

Information architecture, automated tools, card sorting, latent semantic analysis, clustering algorithms

ACM CLASSIFICATION KEYWORDS

H5.2. Information interfaces and presentation (e.g., HCI): User Interfaces – Evaluation/Methodology, H5.4 Information interfaces and presentation (e.g., HCI): Hypertext/Hypermedia – Navigation, Architectures, Theory, User Issues.

 



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Hci Group | Electrical and Computer Engineering | University of Patras