Level of User Expertise is Found to be Critical Towards the Personalisation of Digital Library Services

HCDI research by Frias-Martinez, Chen, Macredie and Liu has suggested that the level of user expertise is the main factor to consider when personalising digital library services. To design effective and personalised services for digital library users it is important to identify the most relevant human factors criteria. Of the three human factors metrics considered in the study, cognitive style, level of expertise and gender, the level of user expertise was found to be the dominant determinant of behaviour. The study conclusion is based on the deployment of three different clustering techniques, k-means, hierarchical and fuzzy, which were used to analyse the digital click streams from actual queries of the Brunel University library catalogue.

Frias-Martinez, E., Chen, S.Y., Macredie, R. D. and S. Y. Liu, X. (2007). The Role of Human Factors in Stereotyping Behavior and Perception of Digital Library Users: A Robust Clustering Approach. User Modelling and User Adapted Interaction, 17(3): 305-337.



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