AutoCardSorter: designing the information architecture of a web site using latent semantic analysis

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. 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 ? Architectures, Navigation, User Issues. Author Keywords Information architecture, automated ...

• Type: Conference
• Year: 2008
• Where: CHI
• Authors: Christos Katsanos, Nikolaos K. Tselios, Nikolaos M. Avouris
• Keywords: CHI 2008, Hierarchical Clustering Algorithms, Human Computer Interaction, Keywords Information Architecture, Latent Semantic Analysis