Ideation Support Based on Infomorphism for Designing Beneficial Inconvenience
This paper proposes an ideation (idea generation) support process based on Channel Theory, which is a qualitative information theory. Channel Theory formulates information flow by establishing infomorphism between two classifications. By encoding a set of examples into a classification and the target of ideation into another classification, the infomorphism between two classifications guides analogical reasonings. This paper employs fuben eki systems as the appropriate target of ideation by our proposed process. Fuben eki denotes the benefits of inconvenience, and fuben eki systems give users beneficial inconvenience. Our proposed process was implemented in a experimental system as a web application. The experimental result shows that the system improved not the amount but the experiment quality of ideas. Furthermore, questionnaire answers from the participants elucidated how the process helped them conceive ideas.