Zacharias Lekkas

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Advances in Web-based oriented technologies and services are taking place with a considerable speed around the world. As communications and IT usage become an integral part of many people's lives and the available products and services become more varied and sophisticated, users expect to be able to personalize a service to meet their individual needs and(More)
Challenges today in the Web personalization and adaptation research area are ranging not only to the heterogeneous user needs and user environment issues such as current location and time, but also on a number of other considerations with respect to multi-channel delivery of the applications concerning Web-based content related to services, educational(More)
Eye-tracking measurements may be used as a method of identifying users’ actual behavior in a hypermedia setting. In this research, an eye-tracking experiment was conducted in order to validate the construct of cognitive style as a personalization parameter in adaptive e-Learning systems. The main research question was whether the verbalizer/ imager axis of(More)
In order to clarify whether extending learners’ profiles in an adaptive educational system to cognitive and emotional characteristics may have a positive effect on performance, we conducted an empirical study that consists of two subsequent experiments. The human factors that were taken into consideration in the personalization process were cognitive style,(More)
Research on modelling affect and on interfaces adaptation based on affective factors has matured considerably over the past several years, so that designers of educational products are now considering the inclusion of components that take affect into account. Emotions are considered to play a central role in guiding and regulating behaviour by modulating(More)
The research described in this paper focuses on adapting generic Hypermedia Environments with the use of Semantic Web technologies. The use of machine understandable semantics in Web applications is increasing significantly, ranging from semantic search queries to personalized product recommendations. Given the significance of human factors in Web(More)
Adaptation and Personalization systems can benefit with the incorporation of ontological knowledge, especially when it comes to modeling users. In this paper we present a cognitive approach to Web Personalization based on an ontology that contains users’ cognitive factors. Accordingly, a human factors’ ontology has been designed and developed using RDFa,(More)
Adapting to user context, individual features and behaviour patterns is a topic of great attention nowadays in the field of Web-based and mobile learning. A challenge is to design personalized interfaces and software enabling easy access to the learning content while being sufficiently flexible to handle changes in a user’s context, perception and available(More)