Exploring the Creative Personality: Using Machine Learning to Predict Fluency and Originality in Divergent Thinking

IF 2.5 3区心理学 Q2 PSYCHOLOGY, EDUCATIONAL Creativity Research Journal Pub Date : 2024-07-01 DOI:10.1080/10400419.2024.2371725

Denis Dumas, Yixiao Dong, Sofiia Kagan, W. Keith Campbell

引用次数: 0

Abstract

In this study, 100 self-reported personality items from the Big Five Aspects Scale, responded to by a sample of 334 undergraduate participants, were used to predict quantity (ideational fluency) an...

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探索创造性人格：利用机器学习预测发散思维的流畅性和独创性

在这项研究中，334 名本科生参与者回答了大五人格量表中的 100 个自我报告的人格项目，这些项目被用来预测人格数量（表意流畅性）和人格结构。

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来源期刊

Creativity Research Journal Multiple-

CiteScore

5.10

自引率

7.70%

发文量

期刊介绍： Creativity Research Journal publishes high-quality, scholarly research capturing the full range of approaches to the study of creativity--behavioral, clinical, cognitive, crosscultural, developmental, educational, genetic, organizational, psychoanalytic, psychometrics, and social. Interdisciplinary research is also published, as is research within specific domains (e.g., art, science) and research on critical issues (e.g., aesthetics, genius, imagery, imagination, incubation, insight, intuition, metaphor, play, problem finding and solving). Integrative literature reviews and theoretical pieces that appreciate empirical work are extremely welcome, but purely speculative articles are not published. Readers are encouraged to send commentaries, comments, and evaluative book reviews.