<p>Sequencing Human-Artificial Intelligence Creative Writing Collaboration Affects Perceived Authorship</p>

As generative AI tools enter domains traditionally considered uniquely human, questions arise about their impact on creative processes. This study tests how the sequencing of human and AI contributions in creative writing affects perceived creativity, authorship, and satisfaction. In a between-subjects experiment (n = 84), participants either wrote a story and then used generatestory.io to improve it (AI-enhanced) or revised a draft generated by the tool (AI-generated). Results show that participants reported similar satisfaction in both conditions. However, authorship feelings differed strongly after the first step (human writing first vs. receiving an AI draft) and became much more similar after people revised the story. Mediation analyses suggest that early perceived authorship helps explain later satisfaction, whereas perceived creativity does not. Overall, the findings imply that who contributes first mainly shapes early feelings of ownership and that hands-on revision can restore perceived authorship, which matters for designing co-creative writing tools that keep users engaged and satisfied without undermining their sense of being the author.

Authors

Publication Details

Journal
Cureus Journal of Computer Science.
Published
2026-07-27
DOI
https://doi.org/10.7759/s44389-026-00183-y
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

<p>Sequencing Human-Artificial Intelligence Creative Writing Collaboration Affects Perceived Authorship</p>

Philipp Lizat, Melani Da Cunha Alves, Daria Leus, Laureen Vanessa Schmidt et al.
Cureus Journal of Computer Science.
Creativity in Education and Neuroscience
article

<p>Sequencing Human-Artificial Intelligence Creative Writing Collaboration Affects Perceived Authorship</p>

Philipp Lizat, Melani Da Cunha Alves, Daria Leus, Laureen Vanessa Schmidt, Patrick Jost
article en

Abstract

As generative AI tools enter domains traditionally considered uniquely human, questions arise about their impact on creative processes. This study tests how the sequencing of human and AI contributions in creative writing affects perceived creativity, authorship, and satisfaction. In a between-subjects experiment (n = 84), participants either wrote a story and then used generatestory.io to improve it (AI-enhanced) or revised a draft generated by the tool (AI-generated). Results show that participants reported similar satisfaction in both conditions. However, authorship feelings differed strongly after the first step (human writing first vs. receiving an AI draft) and became much more similar after people revised the story. Mediation analyses suggest that early perceived authorship helps explain later satisfaction, whereas perceived creativity does not. Overall, the findings imply that who contributes first mainly shapes early feelings of ownership and that hands-on revision can restore perceived authorship, which matters for designing co-creative writing tools that keep users engaged and satisfied without undermining their sense of being the author.

Cureus Journal of Computer Science.
Österreichische Forschungsförderungsgesellschaft
Quality Education
Openalex Percentile: Top 6%
Creativity in Education and Neuroscience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.