The Kate Chopin Experiment: Comparing Generative AI and Human Creative Writing Fictional Narrative Processes
| UDC.coleccion | Investigación | |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | |
| UDC.grupoInv | Lingua e Sociedade da Información (LYS) | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| UDC.journalTitle | New Writing | |
| dc.contributor.author | Williams, Paul | |
| dc.contributor.author | Gómez-Rodríguez, Carlos | |
| dc.date.accessioned | 2026-08-17T11:21:50Z | |
| dc.date.available | 2026-08-17T11:21:50Z | |
| dc.date.issued | 2026-07 | |
| dc.description.abstract | [Abstract]: This project aims to understand the underlying process by which humans and Large Language Models (LLMs) undertake complex creative writing tasks. Using a series of semi-structured interviews with ten human writers who write a specific story, and an analysis of how four generative AI LLMs ‘create’ the same story, this project seeks to explore similarities and differences in how humans research and produce creative works, and how AI LLMs generate simulacra of creative works, in order to further understand how human creative processes and AI generative production operate. The results show that there are fundamental differences in AI and human creative writing processes, and that anthropomorphic linguistic agency is falsely attributed to LLMs. Human creative processes are varied and eclectic, sometimes illogical and non-linear, but humans could use some of the techniques used by LLMs as labor-saving shortcuts to what is sometimes a laborious and time-consuming procedure. | |
| dc.description.sponsorship | LATCHING (PID2023-147129OB-C21) funded by MICIU/AEI/10.13039/501100011033 and ERDF, EU; and TSI-100925-2023-1 funded by Ministry for Digital Transformation and Civil Service, Spain and ‘NextGenerationEU’ PRTR; as well as funding by Xunta de Galicia (ED431C 2024/02). CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the ERDF Galicia 2021-27 operational program (Ref. ED431G 2023/01). | |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2024/02 | |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2023/01 | |
| dc.identifier.citation | Paul Williams & Carlos Gómez-Rodríguez (23 Jul 2026): The Kate Chopin Experiment: Comparing Generative AI and Human Creative Writing Fictional Narrative Processes, New Writing, DOI: 10.1080/14790726.2026.2695609 | |
| dc.identifier.doi | 10.1080/14790726.2026.2695609 | |
| dc.identifier.issn | 1943-3107 | |
| dc.identifier.uri | https://hdl.handle.net/2183/49040 | |
| dc.language.iso | eng | |
| dc.publisher | Taylor & Francis | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-147129OB-C21/ES/TECNOLOGIAS DEL LENGUAJE DESDE UNA PERSPECTIVA VERDE: DOMINIOS CON ESCASOS RECURSOS | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MTDPF//TSI-100925-2023-1/ES/CÁTEDRA UDC-INDITEX DE IA EN ALGORITMOS VERDES | |
| dc.relation.uri | https://doi.org/10.1080/14790726.2026.2695609 | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Creative writing | |
| dc.subject | GenerativeAI | |
| dc.subject | LLM creative process | |
| dc.subject | Human creative process | |
| dc.subject | KateChopin | |
| dc.subject | Epiphany | |
| dc.title | The Kate Chopin Experiment: Comparing Generative AI and Human Creative Writing Fictional Narrative Processes | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | e70a3969-39f6-4458-9339-3b71756fa56e | |
| relation.isAuthorOfPublication.latestForDiscovery | e70a3969-39f6-4458-9339-3b71756fa56e |
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