A fuzzy cognitive map model to calculate a user's desirability based on personality in e-learning environments |
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| Affiliation: | 1. School of Electrical & Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Intelligent Systems Research Institute, SKKU, South Korea;1. College of Management and Economics, Tianjin University, No.92, Weijin Road, Tianjin, 300072, China;2. Department of Information Systems, National University of Singapore, 13 Computing Drive, 117417, Singapore;3. School of Economics and Management, Southeast University, No.2, Si Pai Lou Street, Nanjing, Jiangsu, 210096, China;1. Department of Computer and Communication Engineering, De Lin Institute of Technology, New Taipei City, Taiwan, ROC;2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC;1. Interactive Intelligence Group, Faculty of Electrical Engineering, Mathematics, & Computer Science, Delft University of Technology, Delft, The Netherlands;2. Perceptual and Cognitive Systems, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, The Netherlands |
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| Abstract: | The recent research in artificial intelligence shows an increasing interest in the modeling of human behavior factors such as personality, mood, and emotion for developing human-friendly systems. That is why there is an interest in developing models and algorithms to determine a human's emotions while interacting with a system to improve the quality of the interaction. In this paper, we propose a computational model to calculate a user's desirability based on personality in e-learning environments. The desirability is one of the most important variables in determining a user's emotions. The model receives several e-learning environmental events and predicts the desirability of the events based on the user's personality and his/her goals. The proposed model has been evaluated in a simulated and real e-learning environment. The results show that the model formulates the relationship between personality and emotions with high accuracy. |
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| Keywords: | Personality Emotion User's status Desirability E-learning |
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