Adaptation based on Psychological Factors using Fuzzy Logic

Hypermedia and multimedia capability of web supports the new constructivist way of active learning. However, it may lead to cognitive overload and resulting in `disorientation` or `lost in hyperspace` problem. To reduce this cognitive overload the content should be tailored to individual differences of users. Psychological factor is one of many factors that influence characteristics of individual users and their learning process. Adaptation based on psychological preferences of users becomes an important research issue. However, instruments measuring psychological preferences use subjective judgments of users, experts or ambiguous questions resulting in incomplete, imprecise, uncertain information. This paper proposes fuzzy logic approach to represent psychological features. An algorithm for adaptation to psychological features in web-based hypermedia learning systems is proposed to find the optimal learning object that best fits the psychological requirements of the targeted user.