Open AccessA Computational Cognitive Model of User Applying Creativity Technique in Creativity Support Systems
Author(s) -
Zhibin Chen,
Xiping Jia,
Zhenghong Xiao
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.07.154
Subject(s) - creativity , computer science , computational creativity , precondition , human–computer interaction , extension (predicate logic) , cognition , creativity technique , artificial intelligence , programming language , psychology , social psychology , neuroscience
Numerous creativity techniques have been purposed and applied in creativity support system. Because most creativity techniques are used informally and hardly represented formally in computer, it becomes very difficult to build the computational cognitive model of user applying those techniques. However the model is necessary for creativity support systems to detect or predict the change of user's cognitive state in time and make some adaption to avoid inhibiting creativity of user. In this paper we introduce extension creative idea generation method which has the characteristics of formalization and systematization. The method can be represented by extension rules which provide the precondition to build computational cognitive model of user in creativity support systems. The computational cognitive model of user learning in applying extension creative idea generation method is presented through experiments. The experimental results show how and when the user will develop the application skill of creativity technique and inhibit his creativity
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