DCIT Conferences

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Browsing DCIT Conferences by Author "Nikov, Alexander"

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    Emotion-oriented eCommerce
    (2012-10-03) Leon, Simone; Nikov, Alexander
    Emotion-oriented eCommerce is a new and fascinating research field that poses many opportunities to understanding the purchasing behaviour of online consumers. Computational models can be easily applied to analyze and assess predictive behaviour in an eCommerce environment. Intelligent emotion recognition techniques using computational intelligence are presented. The purpose of this particular study is to develop a model for emotion-oriented eCommerce systems. Developments within this field of study were noted. Electroencephalography has been identified as the preferred method of emotion technique.
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    Personalization of web based interactive systems using computational intelligence techniques
    (2012-10-03) Rambharose, Tricia; Nikov, Alexander
    The research presented in this paper focuses on personalization of WBIS using computational intelligence (CI) methods. The scope of this research is first given and then developments in each aspect are explained. Taxonomy for personalization of WBIS using eight identified CI techniques is presented. Comparison of these eight CI techniques is made and reasons given for selection of a neuro-swarm hybrid CI model for investigation of personalization. A created MATLAB add-in for implementation of this neuro-swarm model is then used to show superior performance of PSO over backpropagation for NN training. A model for personalization of eLearning systems by neuro-swarm determination of learning style is presented. Results of a simulation for the personalization of the structure of a course in Moodle, using the neuro-swarm model, are then given.
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    User experience design of elearning systems in neo-tropical animal production
    (2013-04-15) Nikov, Alexander
    A framework for learner experience (LX) design of eLearning systems in neo-tropical animal production is proposed. For assessment and design of learner experience a checklist is developed. By a ridge-regression-based model the most critical of learning experience dimensions and their checklist items are determined and relevant eLearning system improvements recommended. A case study with an eLearning system in neo-tropical animal production is carried out. By applying the framework the most critical for learner experience design checklist items and problems are allocated. LX design guidelines and improvement recommendations are defined. Further developments of the framework are suggested. By help of the framework important LX dimensions and items can be quickly allocated and thus LX-oriented design of eLearning systems in the area of neo-tropical animal production supported.