Data and Code: Perceived Human Authorship in Human-AI Co-Creation

De-identified data and codebook for a randomized experiment (N = 193) in which participants in Taiwan co-created a story-based advertisement with GPT-4o mini under one of two conditions (AI-for-Ideation or AI-for-Execution) and then rated their authorship-related appraisals and Perceived Human Authorship. Files include the dataset (CSV) and a codebook with English and Traditional Chinese item wording, response scales, and coding. Free-text responses are not shared to protect participant confidentiality. Data were collected from April to June 2026.

Authors

Publication Details

Journal
Open Science Framework
Published
2026-11-02
DOI
https://doi.org/10.17605/osf.io/ze3ha
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Data and Code: Perceived Human Authorship in Human-AI Co-Creation

Thuy T.T., Shiuann-Shuoh Chen
2 links
Open Science Framework
Aesthetic Perception and Analysis
article

Data and Code: Perceived Human Authorship in Human-AI Co-Creation

Thuy T.T., Shiuann-Shuoh Chen
article en

Abstract

De-identified data and codebook for a randomized experiment (N = 193) in which participants in Taiwan co-created a story-based advertisement with GPT-4o mini under one of two conditions (AI-for-Ideation or AI-for-Execution) and then rated their authorship-related appraisals and Perceived Human Authorship. Files include the dataset (CSV) and a codebook with English and Traditional Chinese item wording, response scales, and coding. Free-text responses are not shared to protect participant confidentiality. Data were collected from April to June 2026.

Open Science Framework
Openalex Percentile: Top 17%
Aesthetic Perception and Analysis
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Data and Code: Perceived Human Authorship in Human-AI Co-Creation — Thuy T.T., Shiuann-Shuoh Chen · Open Science Framework (2026) | TGRS Research Map | TGRS