Creativity Profiling Server: Modelling the Principal Components of Human Creativity over Texts

Within the field of Computational Creativity, significant effort has been devoted towards identifying variegating aspects of the creative process and constructing appropriate metrics for determining the degree that an artefact exhibits creativity with respect to these aspects. However, the formalization of a person’s creativity (i.e. a creativity user profile) as a derivative of such creations is not straightforward, as it requires a transition to a space reflecting the core principles of creativity as perceived by humans. This becomes a necessity in domains where personalization goes beyond timely and personalized knowledge provision, targeting the encouragement and fostering of creative thinking. Thus, it becomes essential to develop methodologies for modelling creativity to support personalization based on creativity aspects / characteristics of users. The paper proposes a user modelling framework for formulating creativity user profiles based on an individual’s creations, by transitioning from traditional computational creativity metrics to a space that adheres to the principal components of human creativity. Furthermore, the paper presents the Creativity Profiling Server (CPS), a system implementing the aforementioned user modelling framework for computing and maintaining creativity profiles and showcases the results of experiments over storytelling educational activities.