创造力
语义相似性
任务(项目管理)
结合属性
心理学
发散思维
认知心理学
度量(数据仓库)
航程(航空)
联想(心理学)
语义记忆
语义属性
认知
社会心理学
人工智能
自然语言处理
计算机科学
数学
材料科学
管理
纯数学
神经科学
经济
心理治疗师
复合材料
数据库
作者
Jay A. Olson,Johnny Nahas,Denis Chmoulevitch,Simon J. Cropper,Margaret E. Webb
标识
DOI:10.1073/pnas.2022340118
摘要
Several theories posit that creative people are able to generate more divergent ideas. If this is correct, simply naming unrelated words and then measuring the semantic distance between them could serve as an objective measure of divergent thinking. To test this hypothesis, we asked 8,914 participants to name 10 words that are as different from each other as possible. A computational algorithm then estimated the average semantic distance between the words; related words (e.g., cat and dog) have shorter distances than unrelated ones (e.g., cat and thimble). We predicted that people producing greater semantic distances would also score higher on traditional creativity measures. In Study 1, we found moderate to strong correlations between semantic distance and two widely used creativity measures (the Alternative Uses Task and the Bridge-the-Associative-Gap Task). In Study 2, with participants from 98 countries, semantic distances varied only slightly by basic demographic variables. There was also a positive correlation between semantic distance and performance on a range of problems known to predict creativity. Overall, semantic distance correlated at least as strongly with established creativity measures as those measures did with each other. Naming unrelated words in what we call the Divergent Association Task can thus serve as a brief, reliable, and objective measure of divergent thinking.
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