An Integration Model on Brainstorming and Extenics for Intelligent Innovation in Big Data Environment

Xingsen Li, Haibin Pi, Junwen Sun, Hao Lan Zhang and Zhencheng Liang
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Xingsen Li: Guangdong University of Technology, China
Haibin Pi: Guangdong University of Technology, China
Junwen Sun: Guangdong University of Technology, China
Hao Lan Zhang: NIT, Zhejiang University, China
Zhencheng Liang: Guangdong University of Technology, China

International Journal of Data Warehousing and Mining (IJDWM), 2023, vol. 19, issue 1, 1-23

Abstract: Brainstorming is a widely used problem-solving method that generates a large number of innovative ideas by guiding and stimulating intuitive and divergent thinking. However, in practice, the method is limited by the human brain's capacity or special capabilities, especially by the experience and knowledge they possess. How does our brain create ideas like storming? Based on the new discipline of Extenics, the authors propose a new model that explores the process of how ideas are created in our brain, with the goal of helping people think multi-dimensionally and getting more ideas. With the support of information technology and artificial intelligence, we can systematically collect more information and knowledge than ever before to form a basic-element information base and build human-computer interaction models, to make up for the lack of information and knowledge in the human brain. In addition, the authors provide a methodology to help people think positively in a multidimensional way based on the guidance of Extenics in the brainstorming process.

Date: 2023
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