This paper used clustered embedding features and language ontology to simulate the process of creative idea generation from human brain. Conventional creative idea generation used predefined motivation words. This study proposed a new motivation classification algorithm based on Bayesian network. We first applied the crawler algorithm to obtain motivation vocabulary corpus information.Bayesian ...

When people have to choose a creative solution from several ideas tackle problem, they tend select mainstream at the expense of ideas. In current research, we examined effect rank-ordering strategy on idea selection performance by comparing three different strategies: choosing (i.e., stepwise selecting most idea), elimination removing least and paired comparison making series choices pairs idea...

We show that social roles alter creativity assessments. Specifically, the two main roles in the innovation process – generator roles for producing new ideas and implementer roles for selecting ideas to pursue – invoke different lay theories about what is creative. Study 1 showed that implementers rated a low novelty version of an idea as more creative than a high novelty version, but generators...

We report on an investigation of the effects of hardware performance, application design, and cognitive demands on user productivity and perceptions. This investigation focuses on clerical tasks typical of those activities that many lower level organization workers encounter. This was accomplished by engaging one hundred seventy-five representative participants in a field-based experiment. Part...