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创造力的语言:验证语言分析以评估有创造力的科学家和艺术家。

The Language of Creativity: Validating Linguistic Analysis to Assess Creative Scientists and Artists.

作者信息

Ahmed Sana Tariq, Feist Gregory J

机构信息

Department of Psychology, San José State University, San Jose, CA, United States.

出版信息

Front Psychol. 2021 Nov 19;12:724083. doi: 10.3389/fpsyg.2021.724083. eCollection 2021.

Abstract

The purpose of this study was twofold: first, to be among the first attempts to validate linguistic analysis as a method of creativity assessment and second, to differentiate between individuals in varying scientific and artistic creativity levels using personality language patterns. Creativity is most commonly assessed through methods such as questionnaires and specific tasks, the validity of which can be weakened by scorer or experimenter error, subjective and response biases, and self-knowledge constraints. Linguistic analysis may provide researchers with an automatic, objective method of assessing creativity, and free from human error and bias. The current study used 419 creativity text samples from a wide range of creative individuals mostly in science (and some in the arts and humanities) to investigate whether linguistic analysis can, in fact, distinguish between creativity levels and creativity domains using creativity dictionaries and personality dimension language patterns, from the linguistic inquiry and word count (LIWC) text analysis program. Creative individuals tended to use more words on the creativity keyword dictionaries as well as more introversion and openness to experience language pattern words than less creative individuals. Regarding creativity domains, eminent scientists used fewer introversion, and openness to experience language pattern words than eminent artists. Text analysis through LIWC was able to partially distinguish between the three creativity levels, in some cases, and the two creativity domains (science and art). These findings lend support to the use of linguistic analysis as a partially valid assessment of scientific and artistic creative achievement.

摘要

本研究的目的有两个

其一,作为首批尝试之一,验证语言分析作为一种创造力评估方法的有效性;其二,利用个性语言模式区分处于不同科学和艺术创造力水平的个体。创造力最常用问卷和特定任务等方法进行评估,而这些方法的有效性可能会因评分者或实验者误差、主观和反应偏差以及自我认知限制而受到削弱。语言分析可能为研究人员提供一种自动、客观的创造力评估方法,且不受人为误差和偏差的影响。本研究使用了来自广泛的有创造力个体(主要是科学领域,也有一些艺术和人文领域)的419份创造力文本样本,以调查语言分析是否实际上能够使用创造力词典和个性维度语言模式,从语言探究与字数统计(LIWC)文本分析程序中区分创造力水平和创造力领域。有创造力的个体往往比创造力较低的个体在创造力关键词词典上使用更多的词汇,以及更多的内向和开放性体验语言模式词汇。在创造力领域方面,杰出科学家使用的内向和开放性体验语言模式词汇比杰出艺术家少。通过LIWC进行的文本分析在某些情况下能够部分区分三个创造力水平以及两个创造力领域(科学和艺术)。这些发现支持将语言分析用作对科学和艺术创造性成就的部分有效评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101d/8639503/2f260cfffb97/fpsyg-12-724083-g001.jpg

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