通过动态语义网络分析设计对话，实时识别创造性思维的关键阶段。
Dynamic semantic networks for exploration of creative thinking
- 用词典构建动态语义网络，追踪设计讨论中的概念演变。
- 发现发散性思维特征可预测设计方案的成功率。
- 适合人机协同创新、创意评估系统研发者参考。
人类创造力源于大脑皮层中负责想法生成、处理与评估的神经网络。在设计任务中，通过口头表达内心思考，可利用动态语义网络来研究、评估和监测创造性思维过程。使用WordNet等词汇数据库进行信息论量化，能同时处理词语与语义，实现对动态语义网络的功能解释，对应脑区在概念理解与生成中的活动。本研究基于DTRS10数据集中的设计评审对话，采用滑动时间窗计算语义动态指标，实证发现发散性思维特征可有效预测设计方案的成功率。动态语义网络为实时检测创造性问题解决中的关键事件提供了可能，目标是借助该知识实现对人类创造力的人工增强。
原文摘要 · Abstract (English)
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 in the DTRS10 dataset with design review conversations and detected divergent thinking is shown to predict success of design ideas. Thus, dynamic semantic networks present an opportunity for real-time computer-assisted detection of critical events during creative problem solving, with the goal of employing this knowledge to artificially augment human creativity.
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