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Chen, S.Y.; Liu, X.: ¬The contribution of data mining to information science : making sense of it all (2005)
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- Source
- Journal of information science. 30(2005) no.6, S.550-
- Type
- a
-
Frias-Martinez, E.; Chen, S.Y.; Liu, X.: Automatic cognitive style identification of digital library users for personalization (2007)
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- Abstract
- Digital libraries have become one of the most important Web services for information seeking. One of their main drawbacks is their global approach: In general, there is just one interface for all users. One of the key elements in improving user satisfaction in digital libraries is personalization. When considering personalizing factors, cognitive styles have been proved to be one of the relevant parameters that affect information seeking. This justifies the introduction of cognitive style as one of the parameters of a Web personalized service. Nevertheless, this approach has one major drawback: Each user has to run a time-consuming test that determines his or her cognitive style. In this article, we present a study of how different classification systems can be used to automatically identify the cognitive style of a user using the set of interactions with a digital library. These classification systems can be used to automatically personalize, from a cognitive-style point of view, the interaction of the digital library and each of its users.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.2, S.237-251
- Theme
- Information Gateway
- Type
- a
-
Chen, S.Y.; Magoulas, G.D.; Dimakopoulos, D.: ¬A flexible interface design for Web directories to accommodate different cognitive styles (2005)
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- Abstract
- Search engines are very popular tools for collecting information from distributed resources. They provide not only search facilities, but they also offer directories for users to browse content divided into groups. In this paper, we've adopted an individual differences approach to explore user's attitudes towards various interface features provided by existing Web directories. Among a variety of individual differences, cognitive style is a particularly important characteristic that influences the effectiveness of information seeking. Empirical results indicate that users' cognitive styles influence their reactions to the organization of subject categories, presentation of the results, and screen layout. We developed a set of design guidelines an the basis of these results, and propose a flexible interface that adopts these guidelines to accommodate the preferences of different cognitive style groups.
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.70-83
- Type
- a
-
Chen, S.Y.; Macredie, R.D.: Cognitive styles and hypermedia navigation : development of a learning model (2002)
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- Abstract
- There has been an increased growth in the use of hypermedia to deliver learning and teaching material. However, much remains to be learned about how different learners perceive such systems. Therefore, it is essential to build robust learning models to illustrate how hypermedia features are experienced by different learners. Research into individual differences suggests cognitive styles have a significant effect on student learning in hypermedia systems. In particular, Witkin's Field Dependence has been extensively examined in previous studies. This article reviews the published findings from empirical studies of hypermedia learning. Specifically, the review classifies the research into five themes: nonlinear learning, learner control, navigation in hyperspace, matching and mismatching, and learning effectiveness. A learning model, developed from an analysis of findings of the previous studies, is presented. Finally, implications for the design of hypermedia learning systems are discussed
- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.1, S.3-15
- Type
- a
