<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">ETR</journal-id><journal-title-group><journal-title>Educational Theory and Research</journal-title></journal-title-group><issn>2995-3448</issn><eissn>2995-3456</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/ETR.2026200017</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>产品设计过程中人工智能提示语的繁体汉字视角研究—— 以rhino 和midjourney 为中心</title><url>https://artdesignp.com/journal/ETR/4/20/10.61369/ETR.2026200017</url><author>张悦,赵润镐</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>20</issue><history><date date-type="pub"><published-time>2026-05-15</published-time></date></history><abstract>随着生成式人工智能工具（如Midjourney、DALL &amp;middot;E、Stable Diffusion 等）在产品设计领域中的应用日益广泛，提示语（prompt）成为设计师与 AI 互动的关键界面[1]。过去的研究多集中于英语提示语或简体中文语境，较少关注繁体汉字对于语义表达、视觉偏好、符号风格等层面的影响[2]。本文的研究目的在于探讨在产品设计过程中，如何将繁体汉字融入人工智能提示语，并分析其在Rhino 3D 建模与Midjourney 图像生成中的应用效果与挑战。分析比较繁体字命令与简体字命令，英语命令与韩语命令之间的差异，从而建立繁体字语境下的 AI 设计提示词模型。</abstract><keywords>繁体中文,提示语,图像生成,Rhino,Midjourney,人工智能设计</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Rombach, R., Blattmann, A., Lorenz, D., Esser, P., &amp;amp; Ommer, B. (2022). Highresolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 10684&amp;ndash;10695).[2] Liu, V., &amp;amp; Chilton, L. B. (2022). Design guidelines for prompt engineering textto- image generative models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1&amp;ndash;23). ACM.[3] Yildirim, Z. V. (2023). Artificial intelligence and design: Understanding the roles of AI in creative practice. Design Studies, 84, 101148.[4] 苏培成. . 二十世纪的现代汉字研究[M]. 书海出版社.2001.[5] 赵毅衡. . 符号学：原理与推演[M]. 南京大学出版社.2011.[6] LeCun, Y., Bengio, Y., &amp;amp; Hinton, G. (2015). Deep learning. Nature, 521(7553), 436&amp;ndash;444.[7] Vinchon, F., Camarda, A., Cognet, V., Courrieu, P., Launay, G., Lubart, T., &amp;amp; Bonnardel, N. (2023). Artificial intelligence &amp;amp; creativity: A manifesto for collaboration. Journal of Creative Behavior, 57(4), 472&amp;ndash;484.[8] Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ...&amp;amp; Amodei, D. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877&amp;ndash;1901.[9] McNeel, R., &amp;amp; Associates. (2010). Rhinoceros NURBS modeling for Windows(Version 5). Robert McNeel &amp;amp; Associates.[10] Oppenlaender, J. (2022). The creativity of text-to-image generation. In Proceedings of the 25th International Academic Mindtrek Conference (pp. 192&amp;ndash;202). ACM.[11] White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., ... &amp;amp; Schmidt, D. C. (2023). A prompt pattern catalog to enhance prompt engineering with ChatGPT. arXiv preprint arXiv:2302.11382.[12] 王力. 汉字的结构及其流变[M]. 上海教育出版社.(1981).[13] 刘广锋, 王珏. 甲骨文三维数字化重构与可视化研究[M]. 考古与文物,2020(3),89&amp;ndash;97.[14] Jiang, J., Zhong, Z., &amp;amp; Guo, Y. (2023). AI-assisted product design: Combining generative models with parametric 3D modelling tools. Computers in Industry, 147,103876.[15] Maz&amp;eacute;, R., &amp;amp; Redstr&amp;ouml;m, J. (2008). Switch! Energy ecologies in everyday life. International Journal of Design, 2(3), 55&amp;ndash;70.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
