Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances

A growing number of studies have compared human and AI creative performance. These studies differ in AI chatbots, human populations, creativity tasks, and creativity indicators (e.g., originality, usefulness, elaboration). They mostly neglect psychological research on determinants of creative performance such as instructions or processing time. The present study contributes to the theoretical foundation and replicates a study comparing humans' and AI's creative output in the Alternate Uses Task. Building on established knowledge of creativity determinants, we modified the Alternate Uses Task's instructions (call for quality AND quantity), provided more time for the human participants, and added a second task (Remote Associates Task). The Alternate Uses Task output was scored in two ways: the mean and maximum scores of each Alternate Uses Task item, both in terms of semantic distances and in terms of human rating scores. The result shows that AI's mean scores were significantly higher in the original and modified Alternate Uses Task condition, maximum scores in the original Alternate Uses Task condition, and in the Remote Associates Task. No significant differences between humans and AI were found for the maximum scores in the modified Alternate Uses Task. We mainly replicated the original studies' findings. Our study provides initial clues that the evaluation of creative performances depends on creativity indicators and approaches (instructions and time).

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Publication Details

Journal
Scientific Reports
Published
2025-06-20
DOI
https://doi.org/10.1038/s41598-025-05745-z
Citations
1
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
2.12

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article

Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances

Martin J. Koch, Astrid Carolus
1 citations
Scientific Reports
Creativity in Education and Neuroscience
2.12
article

Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances

Martin J. Koch, Astrid Carolus
article en
1 citations

Abstract

A growing number of studies have compared human and AI creative performance. These studies differ in AI chatbots, human populations, creativity tasks, and creativity indicators (e.g., originality, usefulness, elaboration). They mostly neglect psychological research on determinants of creative performance such as instructions or processing time. The present study contributes to the theoretical foundation and replicates a study comparing humans' and AI's creative output in the Alternate Uses Task. Building on established knowledge of creativity determinants, we modified the Alternate Uses Task's instructions (call for quality AND quantity), provided more time for the human participants, and added a second task (Remote Associates Task). The Alternate Uses Task output was scored in two ways: the mean and maximum scores of each Alternate Uses Task item, both in terms of semantic distances and in terms of human rating scores. The result shows that AI's mean scores were significantly higher in the original and modified Alternate Uses Task condition, maximum scores in the original Alternate Uses Task condition, and in the Remote Associates Task. No significant differences between humans and AI were found for the maximum scores in the modified Alternate Uses Task. We mainly replicated the original studies' findings. Our study provides initial clues that the evaluation of creative performances depends on creativity indicators and approaches (instructions and time).

Scientific ReportsVol. 15(1)
University of Würzburg (DE)
Julius-Maximilians-Universität Würzburg, Ministry of Labour and Social Protection of the Russian Federation, Bundesministerium für Arbeit und Soziales
Quality Education
Openalex Percentile: Top 13%
Creativity in Education and Neuroscience
2.12
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Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances — Martin J. Koch, Astrid Carolus · Scientific Reports (2025) | TGRS Research Map | TGRS