Visual divergence in humans and computers

Ricardo Sosa , Nicolas Rojas, John S. Gero, Qinqi Xu

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

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 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.

Original languageEnglish
Pages (from-to)56-85
Number of pages30
JournalDesign Studies
Volume42
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes

Keywords

  • computer models
  • creativity
  • sketching
  • solution space

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