Visual divergence in humans and computers

Abstract

Studies of design creativity have underlined the importance of divergent reasoning and visual reasoning in idea generation. Connecting these two key design skills, this paper presents a model of divergent visual reasoning for the study of creativity. A visual divergence task called ShapeStorm is demonstrated for the study of creative ideation that can be applied to humans as well as computational design systems. The model is examined in a study with human subjects, a computational stochastic generator, and a geometrical analysis of the solution space. The main significance of this task is that it offers a straightforward means to define a simple design task that can be used across research studies. Several scenarios for the application of ShapeStorm for the study of creativity are advanced. Keywords creativity; sketching; computer models; solution space Divergent Visual Reasoning in Humans and ComputersAbstract Studies of design creativity have underlined the importance of divergent reasoning and visual reasoning in idea generation. Connecting these two key design skills, this paper presents a model of

Visualization analysis of the cognitive characteristics of service designers based on linkography

“…Dong et al 11 believed that language is the preliminary evidence of cognition and investigated the mental model of the design team through semantic analysis method. Sosa et al 12 proposed the divergent visualization inference pattern for concept generation stage. Zgraggen et al 13 analyzed the design behavior and knowledge discovery ability of designers on the basis of the interaction log and thinking aloud.…”