我们的网站为什么显示成这样?

可能因为您的浏览器不支持样式,您可以更新您的浏览器到最新版本,以获取对此功能的支持,访问下面的网站,获取关于浏览器的信息:

|本期目录/Table of Contents|

 人-AI协同创造的双刃性:创造效能、增效模式与影响因素(PDF)

《心理学探新》[ISSN:1003-5184/CN:36-1228/B]

期数:
 2025年03期
页码:
 203-211
栏目:
 
出版日期:
 2025-06-15

文章信息/Info

Title:
 The Double-Edged Nature of Human-AI Collaborative Creation:Creative Efficacy,Enhancement Pathways,and Influencing Factors
文章编号:
1003-5184(2025)03-0203-09
作者:
 梁 正1刘 品2张 丹1
 (1.清华大学心理与认知科学系,北京 100084; 2.清华大学社会科学学院,北京 100084)
Author(s):
 Liang Zheng1Liu Pin2Zhang Dan1
 (1.Department of Psychological and Cognitive Sciences,Tsinghua University,Beijing 100084; 2.School of Social Sciences,Tsinghua University,Beijing 100084)
关键词:
 生成式人工智能 创造力 协同创造 影响因素
Keywords:
 generative artificial intelligence creativity collaborative creation influencing factors
分类号:
 B848
DOI:
 -
文献标识码:
 A
摘要:
 随着生成式人工智能的发展,人-AI协同创造正成为提升个体创造力的重要路径。文章从双刃性视角出发,系统梳理了AI在提升创造绩效与优化创造体验方面的积极作用,以及其所带来的认知依赖、思维固着和自我信念下降等潜在风险。进一步总结了提示工程、互动迭代与模型参数优化等AI协作增效路径,并从个体、AI与任务三个维度解析影响协同创造的关键因素。最后,提出了未来研究可进一步探索的方向。
Abstract:
 With the development of generative artificial intelligence,human-AI collaborative creation has become an important pathway for enhancing individual creativity.Many studies have explored the application of AI in collaborative creation,and the effects and mechanisms are relatively complex,requiring further clarification.However,there has yet to be a review study that systematically addresses the complexity and multidimensional issues of this field.This work adopts a dual-edged perspective and systematically reviews the positive roles of AI in enhancing creative performance and optimizing the creative experience,as well as the potential risks it brings,such as cognitive dependency,fixation in thinking,decreased self-belief,and the impact on the long-term development of creativity.In order to better unlock the creative potential of human-AI collaborative creation,efficiency-enhancing modes,such as prompt engineering,interactive iteration,and model parameter optimization,are further summarized.Key factors influencing collaborative creation are then analyzed from the three dimensions of individual,AI,and task,considering the role of multiple variables coupling and matching in human-AI collaborative effectiveness.Finally,directions for future research are proposed.

参考文献/References

 Boers,J.,Etty,T.,Baars,M.,& Van Boekhoven,K.(2025).Exploring cognitive strategies in human-AI interaction:ChatGPT’s role in creative tasks.Journal of Creativity,35(1),100095.https://doi.org/10.1016/j.yjoc.2025.100095.
Bouschery,S.G.,Blazevic,V.,& Piller,F.T.(2023).AI-augmented creativity:Overcoming the productivity loss in brainstorming groups.Academy of Management Proceedings,(1),11938.https://doi.org/10.5465/AMPROC.2023.11938.
Chen,H.,& Ding,N.(2023).Probing the creativity of large language models:Can models produce divergent semantic association?arXiv.https://doi.org/10.48550/arXiv.2310.11158.
Chen,L.,Xu,M.,& Dust,S.(2024).The double-edged sword of generative AI usage on employee creativity:A dual pathway model.Academy of Management Proceedings,(1),13547.https://doi.org/10.5465/AMPROC.2024.13547abstract.
Chen,Z.,& Chan,J.(2024).Large language model in creative work:The role of collaboration modality and user expertise.Management Science,70(12),9101-9117.https://doi.org/10.1287/mnsc.2023.03014.
Dell’Acqua,F.,McFowland III,E.,Mollick,E.R.,Lifshitz-Assaf,H.,Kellogg,K.,Rajendran,S.,Krayer,L.,Candelon,F.,& Lakhani,K.R.(2023).Navigating the Jagged Technological Frontier:Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality(SSRN Scholarly Paper No.4573321).Social Science Research Network.https://doi.org/10.2139/ssrn.4573321.
Doshi,A.R.,& Hauser,O.P.(2024).Generative AI enhances individual creativity but reduces the collective diversity of novel content.Science Advances,10(28),eadn5290.https://doi.org/10.1126/sciadv.adn5290.
Evans,J.St.B.T.,& Stanovich,K.E.(2013).Dual-process theories of higher cognition:advancing the debate.Perspectives on Psychological Science,8(3),223-241.https://doi.org/10.1177/1745691612460685.
Faiella,A.,Zielińska,A.,Karwowski,M.,& Corazza,G.E.(2025).Am I still creative?The effect of artificial intelligence on creative self-beliefs.The Journal of Creative Behavior,59(2),e70011.https://doi.org/10.1002/jocb.70011.
Garcia,M.B.(2024).The paradox of artificial creativity:Challenges and opportunities of generative AI artistry.Creativity Research Journal,36(1-2),1-14.https://doi.org/10.1080/10400419.2024.2354622.
Gilhooly,K.(2024).AI vs humans in the AUT:Simulations to LLMs.Journal of Creativity,34(1),100071.https://doi.org/10.1016/j.yjoc.2023.100071.
Goodhue,D.L.,& Thompson,R.L.(1995).Task-technology fit and individual performance.MIS Quarterly,19(2),213.https://www.proquest.com/scholarly-journals/task-technology-fit-individual-performance/docview/218139832/se-239832/se-2.
Grilli,L.,& Pedota,M.(2024).Creativity and artificial intelligence:A multilevel perspective.Creativity and Innovation Management,33(2),234-247.https://doi.org/10.1111/caim.12580.
Gruda,D.(2024).Three ways ChatGPT helps me in my academic writing.Nature.https://doi.org/10.1038/d41586-024-01042-3.
Guzik,E.E.,Byrge,C.,& Gilde,C.(2023).The originality of machines:AI takes the Torrance Test.Journal of Creativity,33(3),100065.https://doi.org/10.1016/j.yjoc.2023.100065.
Haase,J.,& Hanel,P.H.P.(2023).Artificial muses:Generative artificial intelligence chatbots have risen to human-level creativity.Journal of Creativity,33(3),100066.https://doi.org/10.1016/j.yjoc.2023.100066.
Habib,S.,Vogel,T.,Anli,X.,& Thorne,E.(2024).How does generative artificial intelligence impact student creativity?Journal of Creativity,34(1),100072.https://doi.org/10.1016/j.yjoc.2023.100072.
Hitsuwari,J.,Ueda,Y.,Yun,W.,& Nomura,M.(2023).Does human-AI collaboration lead to more creative art?Aesthetic evaluation of human-made and AI-generated haiku poetry.Computers in Human Behavior,139,107502.https://doi.org/10.1016/j.chb.2022.107502.
Hubert,K.F.,Awa,K.N.,& Zabelina,D.L.(2024).The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks.Scientific Reports,14(1),3440.https://doi.org/10.1038/s41598-024-53303-w.
Ivcevic,Z.,& Grandinetti,M.(2024).Artificial intelligence as a tool for creativity.Journal of Creativity,34(2),100079.https://doi.org/10.1016/j.yjoc.2024.100079.
Jia,N.,Luo,X.,Fang,Z.,& Liao,C.(2024).When and how artificial intelligence augments employee creativity.Academy of Management Journal,67(1),5-32.https://doi.org/10.5465/amj.2022.0426.
Kanervisto,A.,Bignell,D.,Wen,L.Y.,Grayson,M.,Georgescu,R.,Valcarcel Macua,S.,Tan,S.Z.,Rashid,T.,Pearce,T.,Cao,Y.,Lemkhenter,A.,Jiang,C.,Costello,G.,Gupta,G.,Tot,M.,Ishida,S.,Gupta,T.,Arora,U.,White,R.W.,… Hofmann,K.(2025).World and Human Action Models towards gameplay ideation.Nature,638(8051),656-663.https://doi.org/10.1038/s41586-025-08600-3.
Kantosalo,A.,Ravikumar,P.T.,Grace,K.,& Takala,T.(2020,September).Modalities,styles and strategies:An interaction framework for human-computer co-creativity.In A.Cardoso,P.Machado,T.Veale,& J.M.Cunha(Eds.),Proceedings of the Eleventh International Conference on Computational Creativity(pp.57-64).Association for Computational Creativity.http://computational creativity.net/iccc20/papers/ICCC20_Proceedings.pdf.
Karwowski,M.,Lebuda,I.,& Beghetto,R.A.(2019).Creative Self-Beliefs.In J.C.Kaufman & R.J.Sternberg(Eds.),The Cambridge Handbook of Creativity(2nd ed.,pp.396-418).Cambridge University Press.https://doi.org/10.1017/9781316979839.021.
Koivisto,M.,& Grassini,S.(2023).Best humans still outperform artificial intelligence in a creative divergent thinking task.Scientific Reports,13(1),13601.https://doi.org/10.1038/s41598-023-40858-3.
Lee,B.C.,& Chung,J.J.(2024).An empirical investigation of the impact of ChatGPT on creativity.Nature Human Behaviour,8(10),1906-1914.https://doi.org/10.1038/s41562-024-01953-1.
Leung,R.,& Lo,I.S.(2024).Can ChatGPT Inspire Me?Evaluate Students’ Questioning Techniques on AI Tool for Overcoming Fixation.In Katerina Berezina,L.Nixon,& A.Tuomi(Eds.),Information and Communication Technologies in Tourism 2024(pp.75-86).Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-58839-6_9.
Li,N.,Zhou,H.,& Mikel-Hong,K.(2024,May 28).Generative AI Enhances Team Performance and Reduces Need for Traditional Teams.arXiv.Org.https://arxiv.org/abs/2405.17924v1.
Liu,Q.,Zhou,Y.,Huang,J.,& Li,G.(2024).When ChatGPT is gone:Creativity reverts and homogeneity persists(No.arXiv:2401.06816).arXiv.https://doi.org/10.48550/arXiv.2401.06816.
Lee,D.,Pruitt,J.,Zhou,T.,Du,J.,& Odegaard,B.(2025).Metacognitive sensitivity:The key to calibrating trust and optimal decision-making with AI.PNAS Nexus,pgaf133.https://doi.org/10.1093/pnasnexus/pgaf133.
Marrone,R.,Cropley,D.,& Medeiros,K.(2024).How does narrow ai impact human creativity?Creativity Research Journal.https://doi.org/10.1080/10400419.2024.2378264.
McGuire,J.,De Cremer,D.,& Van de Cruys,T.(2024).Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence.Scientific Reports,14(1),18525.https://doi.org/10.1038/s41598-024-69423-2.
Medeiros,K.E.,Marrone,R.L.,Joksimovic,S.,Cropley,D.H.,& Siemens,G.(2023).Promises and realities of artificial creativity.In R.Reiter-Palmon & S.Hunter(Eds.),Handbook of organizational creativity(2nd ed.,pp.275-289).Academic Press.https://doi.org/10.1016/B978-0-323-91841-1.00010-5.
Memmert,L.,& Bittner,E.(2024).Human-AI collaboration for brainstorming:Effect of the presence of AI ideas on breadth of exploration.In Proceedings of the Hawaii International Conference on System Sciences 2024(HICSS-57)(p.6).https://aisel.aisnet.org/hicss-57/cl/machines_as_teammates/6.
Mingjie,G.,Jun,M.,& Huirong,T.(2025).The double-edged sword effect of generative artificial intelligence usage on employee creativity:A perspective of conservation of resources theory.Current Psychology.https://doi.org/10.1007/s12144-025-07806-y.
Niloy,A.C.,Akter,S.,Sultana,N.,Sultana,J.,& Rahman,S.I.U.(2024).Is Chatgpt a menace for creative writing ability?An experiment.Journal of Computer Assisted Learning,40(2),919-930.https://doi.org/10.1111/jcal.12929.
Nguyen,A.,Hong,Y.,Dang,B.,& Huang,X.(2024).Human-AI collaboration patterns in AI-assisted academic writing.Studies in Higher Education,49(5),847-864.https://doi.org/10.1080/03075079.2024.2323593.
Noy,S.,& Zhang,W.(2023).Experimental evidence on the productivity effects of generative artificial intelligence.Science,381(6654),187-192.https://doi.org/10.1126/science.adh2586.
Orwig,W.,Edenbaum,E.R.,Greene,J.D.,& Schacter,D.L.(2024).The Language of Creativity:Evidence from Humans and Large Language Models.The Journal of Creative Behavior,58(1),128-136.https://doi.org/10.1002/jocb.636.
Peeperkorn,M.,Kouwenhoven,T.,Brown,D.,& Jordanous,A.(2024).Is Temperature the Creativity Parameter of Large Language Models?(No.arXiv:2405.00492).arXiv.https://doi.org/10.48550/arXiv.2405.00492.
Plucker,J.A.,& Beghetto,R.A.(2004).Why Creativity Is Domain General,Why It Looks Domain Specific,and Why the Distinction Does Not Matter.In Creativity:From potential to realization(pp.153-167).American Psychological Association.https://doi.org/10.1037/10692-009.
Promma,W.,Imjai,N.,Usman,B.,& Aujirapongpan,S.(2025).The influence of AI literacy on complex problem-solving skills through systematic thinking skills and intuition thinking skills:An empirical study in Thai gen Z accounting students.Computers and Education:Artificial Intelligence,8,100382.https://doi.org/10.1016/j.caeai.2025.100382.
Rafner,J.,Beaty,R.E.,Kaufman,J.C.,Lubart,T.,& Sherson,J.(2023).Creativity in the age of generative AI.Nature Human Behaviour,7(11),1836-1838.https://doi.org/10.1038/s41562-023-01751-1.
Sasson Lazovsky,G.,Raz,T.,& Kenett,Y.N.(2024).The art of creative inquiry—from question asking to prompt engineering.The Journal of Creative Behavior,59(1).https://doi.org/10.1002/jocb.671.
Schmutz,J.B.,Outland,N.,Kerstan,S.,Georganta,E.,& Ulfert,A.(2024).AI-teaming:Redefining collaboration in the digital era.Current Opinion in Psychology,58,101837.https://doi.org/10.1016/j.copsyc.2024.101837.
Si,C.,Yang,D.,& Hashimoto,T.(2024).Can LLMs Generate Novel Research Ideas?A Large-Scale Human Study with 100+ NLP Researchers.arXiv.Org.https://arxiv.org/abs/2409.04109v1.
Smith,S.M.,& Blankenship,S.E.(1991).Incubation and the persistence of fixation in problem solving.The American Journal of Psychology,104(1),61-87.https://doi.org/10.2307/1422851.
Stevenson,C.E.,Kleibeuker,S.W.,de Dreu,C.K.W.,& Crone,E.A.(2014).Training creative cognition:Adolescence as a flexible period for improving creativity.Frontiers in Human Neuroscience,8,Article 827.https://doi.org/10.3389/fnhum.2014.00827.
Tang,M.,Hofreiter,S.,Werner,C.H.,Zielińska,A.,& Karwowski,M.(2024).“who” is the best creative thinking partner?An experimental investigation of human-human,human-internet,and human-ai co‐creation.The Journal of Creative Behavior.https://doi.org/10.1002/jocb.1519.
Taudien,A.,Walzner,D.,Fuegener,A.,Gupta,A.,& Ketter,W.(2024).Know Thyself:The Relationship between Metacognition and Human-AI Collaboration.ICIS 2024 Proceedings.https://aisel.aisnet.org/icis2024/user_behav/user_behav/7.
Urban,M.,Děchtěrenko,F.,Lukavsky,J.,Hrabalová,V.,Svacha,F.,Brom,C.,& Urban,K.(2024).ChatGPT improves creative problem-solving performance in university students:An experimental study.Computers & Education,215,105031.https://doi.org/10.1016/j.compedu.2024.105031.
Urban,M.,Lukavsky,J.,Brom,C.,Hein,V.,vácha,F.,Děchtěrenko,F.,& Urban,K.(2025).How Students Prompt ChatGPT for Creative Problem-Solving:Process Mining of Hybrid Human-AI Regulation.https://doi.org/10.31234/osf.io/68fh4_v1.
Vaccaro,M.,Almaatouq,A.,& Malone,T.(2024).When combinations of humans and AI are useful:A systematic review and meta-analysis.Nature Human Behaviour,8(12),2293-2303.https://doi.org/10.1038/s41562-024-02024-1.
Vinchon,F.,Lubart,T.,Bartolotta,S.,Gironnay,V.,Botella,M.,Bourgeois-Bougrine,S.,Burkhardt,J.,Bonnardel,N.,Corazza,G.E.,Glveanu,V.,Hanchett Hanson,M.,Ivcevic,Z.,Karwowski,M.,Kaufman,J.C.,Okada,T.,Reiter‐Palmon,R.,& Gaggioli,A.(2023).Artificial intelligence & creativity:A manifesto forcollaboration.The Journal of Creative Behavior,57(4),472.https://doi.org/10.1002/jocb.597.
Wadinambiarachchi,S.,Kelly,R.M.,Pareek,S.,Zhou,Q.,& Velloso,E.(2024).The Effects of Generative AI on Design Fixation and Divergent Thinking.arXiv.https://doi.org/10.1145/3613904.3642919.
Wang,H.,Fu,T.,Du,Y.,Gao,W.,Huang,K.,Liu,Z.,Chandak,P.,Liu,S.,Van Katwyk,P.,Deac,A.,Anandkumar,A.,Bergen,K.,Gomes,C.P.,Ho,S.,Kohli,P.,Lasenby,J.,Leskovec,J.,Liu,T.-Y.,Manrai,A.,… Zitnik,M.(2023).Scientific discovery in the age of artificial intelligence.Nature,620(7972),47-60.https://doi.org/10.1038/s41586-023-06221-2.
Wang,W.,Yang,M.,& Sun,T.(2023).Human-AI Co-Creation in Product Ideation:The Dual View of Quality and Diversity.SSRN Electronic Journal.https://doi.org/10.2139/ssrn.4668241.
Wieland,B.,de Wit,J.,& de Rooij,A.(2022).Electronic brainstorming with a chatbot partner:A good idea due to increased productivity and idea diversity.Frontiers in Artificial Intelligence,5,880673.https://doi.org/10.3389/frai.2022.880673.
Wu,S.,Liu,Y.,Ruan,M.,Chen,S.,& Xie,X.-Y.(2025).Human-generative AI collaboration enhances task performance but undermines human’s intrinsic motivation.Scientific Reports,15(1).https://doi.org/10.1038/s41598-025-98385-2.
Yu,R.,Xu,X.,& Peng,S.(2025).The impact of individual AI proficiency on human-agent collaboration:Higher sensitivity to discern the comprehension ability of intelligent agents for users with higher AI proficiency levels.International Journal of Industrial Ergonomics,107,103745.https://doi.org/10.1016/j.ergon.2025.103745.
Zamfirescu-Pereira,J.D.,Wong,R.Y.,Hartmann,B.,& Yang,Q.(2023).Why Johnny can’t prompt:How non-AI experts try(and fail)to design LLM prompts.In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems(pp.1-21).Association for Computing Machinery.https://doi.org/10.1145/3544548.3581388.
Zhai,C.,Wibowo,S.,& Li,L.D.(2024).The effects of over-reliance on AI dialogue systems on students’ cognitive abilities:A systematic review.Smart Learning Environments,11(1),28.https://doi.org/10.1186/s40561-024-00316-7.
Zhou,E.,& Lee,D.(2024).Generative artificial intelligence,human creativity,and art.PNAS Nexus,3(3),52.https://doi.org/10.1093/pnasnexus/pgae052.
Zhu,G.,Sudarshan,V.,Kow,J.F.,& Soon Ong,Y.(2024).Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions.2024 IEEE Conference on Artificial Intelligence,(CAI),680-686.https://doi.org/10.1109/cai59869.2024.00133.

备注/Memo

备注/Memo:
 基金项目:国家语委重大项目(ZDA145-18),国家社会科学基金重大项目(24&ZD251),清华大学研究生教育教学改革项目(202504Z005),清华大学教学改革项目(DX02_20)。
通信作者:张丹,E-mail:dzhang@tsinghua.edu.cn。
更新日期/Last Update:  2025-06-20