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

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arxiv 2303.13534 v3 pith:NUMVZSA5 submitted 2023-03-13 cs.HC

classification cs.HC
keywords promptengineeringpromptsskillcreativelearningnovelparticipants
verification ladder T0 review T1 audit T2 compute T3 formal
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We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This paper 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. 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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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering

    cs.SE 2025-07 conditional novelty 4.0 of 10

    A literature review and three expert interviews yield a proposed mapping of prompt engineering guideline themes onto five requirements engineering activities, with no empirical validation of the mapping.

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