Interface wikipedia

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Ontology-based Interface Adaptivity in Web-based Learning Systems
Arturo Peñarrubia, Antonio Fernández-Caballero, Pascual González Universidad de Castilla-La Mancha, Instituto de Investigación en Informática de Albacete Laboratory of User Interaction and Software Engineering (LoUISE), Albacete, Spain {arpebla, caballer, pgonzalez} Federico Botella, Antonio Grau, Oscar MartínezUniversidad Miguel Hernández de Elche, Operations Research Center, Elche, Spain {federico, a.grau, oscar.martinez}

Along this document, we expose how user interface adaptivity principles may contribute to improve present web learning systems. If we are able to establish some student features, based on the documents he has consulted, we can easily guide him through our web site.In order to collect that information, the web site considers the metadata associated with each document. Once this information has been obtained, the interface will recommend the site documents that are the most tailored to the student’s interests. Our proposal consists in mixing the main ideas inherent to user profiling, semantic web, metadata, and ontologies. The framework supporting theinitiative is also introduced in this paper.

there are some excellent browsers available to efficiently provide a great number of documents containing certain terms, or even to support searches of simple expressions based on these terms. Most of these browsers also permit to access the information included in the web through a thematic tree. However, the tools offered neither makes the user-systeminteraction easier, in a broad sense, nor do they solve the user’s concrete problems, as they provide too generic solutions.

2. Web Interface Adaptivity
2.1. User profiling
Generally speaking, many HCI aspects have experienced much progress in recent years, but only if compared to other kinds of information systems. This is especially true in user interface adaptivity research [5], [10].Obviously, when there is no adaptivity to user’s skills or preferences, the interface designed for a wide group of users reduces the satisfaction degree for most of them. Consequently, to obtain more usable interfaces, it is necessary to know how these users are and in which way they behave in front of the interface. This is the reason why the so-called user profiles are established [1], [6]. Theseprofiles allow grouping potential users in different sets by some common features. These features usually incorporate certain behavioral norms about the user interactions with the system. The inclusion of a user in a profile implies the adaptation of the application interface to this profile all the time, with the intention to make the interaction easier. But, the question is now if this generalapproach can be useful when applied to in learning systems.

1. Introduction
Recently, Human Computer Interaction (HCI) is awakening a growing interest from different perspectives, and especially from Software Engineering [3], [9]. The need to facilitate access to more and more complex systems is causing an unprecedented development in this research area. And especially web-based applications, as theymust manage a big quantity of data with complex structures due to the wideness and heterogeneity of the Internet, are those which require a most important treatment with regard to interaction. It is not a trivial task for a user who accesses such a large and complex information system to easily find out what he is looking for, and, even more, to perform this task in a handy and effective way [2].Nowadays, a user with certain information requirements starting a navigational web session already finds tools able to make specific navigational aspects easier. For instance,

Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT’04) 0-7695-2181-9/04 $20.00 © 2004 IEEE

When a student browses a didactic web, he tends to follow some repetitive guidelines...
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