IJCTT-International Journal of Computer Trends and Technology
Predicting and describing a user experience is a critical issue for building professional and efficient systems. The user experience introduces new research activities that focused on the interactions between products, applications, designers, and users. To achieve specific user experience goals, the authors need to find an optimal model for predicting user experience which includes behavior and emotions experiences in efficiently. In this paper, they propose a fuzzy predicting categorical activity-based algorithm for predicting user experience.