“Who” Is the Best Creative Thinking Partner? An Experimental Investigation of Human–Human, Human–Internet, and Human–AI Co-Creation

IF 3 2区 心理学 Q2 PSYCHOLOGY, EDUCATIONAL
Min Tang, Sebastian Hofreiter, Christian H. Werner, Aleksandra Zielińska, Maciej Karwowski
{"title":"“Who” Is the Best Creative Thinking Partner? An Experimental Investigation of Human–Human, Human–Internet, and Human–AI Co-Creation","authors":"Min Tang,&nbsp;Sebastian Hofreiter,&nbsp;Christian H. Werner,&nbsp;Aleksandra Zielińska,&nbsp;Maciej Karwowski","doi":"10.1002/jocb.1519","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Recent research suggests that working with generative artificial intelligence (AI), such as ChatGPT, can produce more creative outcomes than humans alone. However, does AI retain its creative edge when humans have access to alternative information sources, such as another human or the internet. We explored this question in a between-group experiment with 202 German participants across four conditions (human–human dyads, human–Internet, and two human–AI groups with basic or specific instructions) and four creativity tasks (two alternate uses tasks, a consequences task, and a problem-solving task). Results showed that the human–human condition obtained higher creativity scores in the divergent thinking tasks than the remaining groups. No significant between-group differences were observed in the problem-solving task. Moreover, interacting in human dyads made people more creatively confident, an effect not observed in the other groups. In addition, we compared human-rated outcomes with AI-based automated scoring (Ocsai). Interestingly, notable discrepancies emerged between the AI assessment and the human-judged results, raising concerns about AI's susceptibility to “elaboration bias.” These findings highlight the benefits of human collaboration for creativity and call for further studies about the reliability and potential biases of AI in evaluating creative performance.</p>\n </div>","PeriodicalId":39915,"journal":{"name":"Journal of Creative Behavior","volume":"59 3","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Creative Behavior","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jocb.1519","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, EDUCATIONAL","Score":null,"Total":0}
引用次数: 0

Abstract

Recent research suggests that working with generative artificial intelligence (AI), such as ChatGPT, can produce more creative outcomes than humans alone. However, does AI retain its creative edge when humans have access to alternative information sources, such as another human or the internet. We explored this question in a between-group experiment with 202 German participants across four conditions (human–human dyads, human–Internet, and two human–AI groups with basic or specific instructions) and four creativity tasks (two alternate uses tasks, a consequences task, and a problem-solving task). Results showed that the human–human condition obtained higher creativity scores in the divergent thinking tasks than the remaining groups. No significant between-group differences were observed in the problem-solving task. Moreover, interacting in human dyads made people more creatively confident, an effect not observed in the other groups. In addition, we compared human-rated outcomes with AI-based automated scoring (Ocsai). Interestingly, notable discrepancies emerged between the AI assessment and the human-judged results, raising concerns about AI's susceptibility to “elaboration bias.” These findings highlight the benefits of human collaboration for creativity and call for further studies about the reliability and potential biases of AI in evaluating creative performance.

“谁”是最好的创意思维伙伴?人与人、人与互联网、人与人工智能共同创造的实验研究
最近的研究表明,与ChatGPT等生成式人工智能(AI)合作,可以产生比单独使用人类更有创造性的结果。然而,当人类可以获得其他信息来源(如另一个人或互联网)时,人工智能是否仍能保持其创造性优势?我们对202名德国参与者进行了一项组间实验,在四种条件下(人类-人类二人组、人类-互联网和两个具有基本或特定指令的人类-人工智能组)和四种创造力任务(两个替代用途任务、一个后果任务和一个解决问题的任务)中探讨了这个问题。结果表明,在发散性思维任务中,“人-人”组的创造力得分高于其他组。在解决问题的任务中,没有观察到组间的显著差异。此外,在人类二人组中互动使人们更具创造性自信,这在其他组中没有观察到。此外,我们将人工评分结果与基于人工智能的自动评分(Ocsai)进行了比较。有趣的是,人工智能的评估结果与人类判断的结果之间出现了明显的差异,这引发了人们对人工智能易受“阐述偏见”影响的担忧。这些发现强调了人类合作对创造力的好处,并呼吁进一步研究人工智能在评估创造力表现方面的可靠性和潜在偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Creative Behavior
Journal of Creative Behavior Arts and Humanities-Visual Arts and Performing Arts
CiteScore
7.50
自引率
7.70%
发文量
44
期刊介绍: The Journal of Creative Behavior is our quarterly academic journal citing the most current research in creative thinking. For nearly four decades JCB has been the benchmark scientific periodical in the field. It provides up to date cutting-edge ideas about creativity in education, psychology, business, arts and more.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信