生成性人工智能在室内设计教育中的应用分析

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal Pub Date : 2025-09-15 DOI:10.1016/j.asej.2025.103757

Yao Liu , Beiyuan Xu , Jiarong Feng , Pengjun Wu

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引用次数: 0

摘要

人工智能（AI）的快速发展引入了生成式AI工具，作为室内设计教育的变革性资源，增强了创造力、审美质量和实际设计成果。传统的室内设计教育往往限制了学生的理论知识、审美技能和技术能力的发展。生成式人工智能工具，如利用大数据和深度学习的Stable Diffusion和Midjourney，提供了创新的设计概念来解决这些限制。本研究在一个新的教育环境中应用已建立的模型——utaut和ahp，从创造性、美学、实用性和可行性方面评估生成式人工智能工具，为室内设计教学提供经验基础的见解。结果表明，Stable Diffusion在创造力方面表现出色，而Midjourney在美学和功能方面表现出色，这两种工具都被证明比传统方法更可行。尽管存在技术支持有限和硬件要求高等挑战，但生成式人工智能工具可以通过促进创新和提高设计效率来显著增强室内设计教育。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of the application of generative artificial intelligence in interior design education

The rapid advancement of artificial intelligence (AI) has introduced generative AI tools as transformative resources in interior design education, enhancing creativity, aesthetic quality, and practical design outcomes. Traditional interior design education often limits students’ theoretical knowledge, aesthetic skills, and technical abilities development. Generative AI tools such as Stable Diffusion and Midjourney, which utilize big data and deep learning, offer innovative design concepts to address these limitations. This study applies established models—UTAUT and AHP—in a novel educational context to evaluate generative AI tools in terms of creativity, aesthetics, practicality, and feasibility, offering empirically grounded insights for interior design pedagogy. Results showed that Stable Diffusion excelled in creativity, while Midjourney outperformed in aesthetics and functionality, with both tools proved more feasible than traditional methods. Despite challenges such as limited technical support and high hardware requirements, generative AI tools can significantly enhance interior design education by fostering innovation and improving design efficiency.

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来源期刊

Ain Shams Engineering Journal Engineering-General Engineering

CiteScore

10.80

自引率

13.30%

发文量

441

审稿时长

49 weeks

期刊介绍： in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.