Dynamic semantic networks for exploration of creative thinking
Danko D. Georgiev, Georgi V. Georgiev

TL;DR
This paper explores the use of dynamic semantic networks derived from lexical databases to analyze and monitor creative thinking in real-time, linking linguistic data to brain activity for enhanced understanding and support of creativity.
Contribution
It introduces a novel empirical approach using dynamic semantic networks and information-theoretic measures to analyze creative thought processes during design tasks.
Findings
Detected divergent thinking predicts success in design ideas
Dynamic semantic measures can monitor creative problem solving in real-time
Semantic networks relate to brain regions involved in concept processing
Abstract
Human creativity originates from brain cortical networks that are specialized in idea generation, processing, and evaluation. The concurrent verbalization of our inner thoughts during the execution of a design task enables the use of dynamic semantic networks as a tool for investigating, evaluating, and monitoring creative thought. The primary advantage of using lexical databases such as WordNet for reproducible information-theoretic quantification of convergence or divergence of design ideas in creative problem solving is the simultaneous handling of both words and meanings, which enables interpretation of the constructed dynamic semantic networks in terms of underlying functionally active brain cortical regions involved in concept comprehension and production. In this study, the quantitative dynamics of semantic measures computed with a moving time window is investigated empirically…
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