Does AI Usage Diminish Human Creativity?: How Goal Orientation Theory Moderates the Negative Effects Between AI Usage and Creative Output

IF 2.7 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Letty Y. Y. Kwan, Yu Sheng Hung
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引用次数: 0

Abstract

This study investigates a critical and previously unexplored question: Does habitual AI adoption diminish individual creativity? If so, what are the boundary conditions that may amplify or mitigate this negative effect? A total of 77 participants were recruited to complete a creativity task, with their self-reported lay creativity, goal orientation, and habitual AI adoption assessed 1 week prior. Using a combination of self-report measures and ecologically valid creative evaluations, the findings reveal that habitual AI adoption significantly reduces creativity, even after controlling for self-reported creativity, and emotional attachment towards AI. Furthermore, goal orientation moderates this relationship: individuals with a higher learning/mastery orientation experience a greater negative impact, while those with a higher performance orientation show an attenuated negative effect. These findings apply to both the novelty and usefulness dimensions of creativity. This study makes a novel contribution by being the first to demonstrate the detrimental effects of habitual AI adoption on human creativity, contributing to the theoretical understanding of how motivational goals moderate this effect. In practice, training programs that prioritize creativity could leverage current results to design teaching materials that account for individuals’ motivational goals when AI-human interaction is present.
人工智能的使用会削弱人类的创造力吗?:目标导向理论如何调节人工智能使用与创造性产出之间的负面影响
这项研究调查了一个关键的、以前未被探索的问题:习惯性地采用人工智能会削弱个人的创造力吗?如果是这样,哪些边界条件可能会放大或减轻这种负面影响?总共招募了77名参与者来完成一项创造力任务,并在一周前评估了他们自我报告的业余创造力、目标取向和习惯性人工智能采用情况。通过结合自我报告测量和生态有效的创造性评估,研究结果表明,即使在控制了自我报告的创造力和对人工智能的情感依恋之后,习惯性采用人工智能也会显著降低创造力。此外,目标取向调节了这一关系:学习/掌握取向越高的个体负向影响越大,而绩效取向越高的个体负向影响越弱。这些发现适用于创造力的新颖性和有用性两个维度。这项研究首次证明了习惯性采用人工智能对人类创造力的有害影响,为从理论上理解动机目标如何调节这种影响做出了贡献。在实践中,优先考虑创造力的培训项目可以利用当前的结果来设计教材,在人工智能与人类互动的情况下,考虑到个人的动机目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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