Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This article investigates prompt engineering as a novel creative skill for creating AI art with text-to-image generation. In three consecutive studies, we explore whether crowdsourced participants can (1) discern prompt quality, (2) write prompts, and (3) refine prompts. We find that participants could evaluate prompt quality and crafted descriptive prompts, but they lacked style-specific vocabulary necessary for effective prompting. This is in line with our hypothesis that prompt engineering is a new type of skill that is non-intuitive and must first be acquired (e.g., through means of practice and learning) before it can be used at a level of high quality. Our studies deepen our understanding of prompt engineering and chart future research directions. We conclude by envisioning four potential futures for prompt engineering.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2024-11-28
DOI
https://doi.org/10.1080/10447318.2024.2431761
Citations
116
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
23.81
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article

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

Rhema Linder, Johanna Silvennoinen, Jonas Oppenlaender
116 citations
International Journal of Human-Computer Interaction
Design Education and Practice
23.81
article

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

Rhema Linder, Johanna Silvennoinen, Jonas Oppenlaender
article en
116 citations

Abstract

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This article investigates prompt engineering as a novel creative skill for creating AI art with text-to-image generation. In three consecutive studies, we explore whether crowdsourced participants can (1) discern prompt quality, (2) write prompts, and (3) refine prompts. We find that participants could evaluate prompt quality and crafted descriptive prompts, but they lacked style-specific vocabulary necessary for effective prompting. This is in line with our hypothesis that prompt engineering is a new type of skill that is non-intuitive and must first be acquired (e.g., through means of practice and learning) before it can be used at a level of high quality. Our studies deepen our understanding of prompt engineering and chart future research directions. We conclude by envisioning four potential futures for prompt engineering.

International Journal of Human-Computer InteractionVol. 41(16)
Information Technology University (PK), Knoxville College (US), Ubiquitous Energy (United States) (US), University of Tennessee at Knoxville (US), University of Jyväskylä (FI), University of Oulu (FI)
Openalex Percentile: Top 0%
Design Education and Practice
23.81
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