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AI Tools Integration in Architectural Design Phases: A Structured Framework for Time-Efficient Visualization of Design Alternatives in Architectural Firms

Abstract

Given the rapid pace of technological advancements, integrating Artificial Intelligence (AI) into the architecture sector is essential due to its precision, originality, and ability to offer a multitude of design options. Despite the wide array of AI tools available, architects often struggle to identify the most suitable ones, highlighting the need for a structured framework to guide their use in various design phases. The main aim is to develop a structured framework, ensuring time-efficient visualization of design alternatives in architectural firms. A mixed-method approach was used. Firstly, an extensive literature review was conducted to define AI and its applications in architectural design according to RIBA standards. It was found that the conceptual design phase is the most in need of AI integration, with tools like Midjourney excelling in generating novel images with real textures. Secondly, Case studies on two international and one national project validate the literature review findings, confirming the prevalent use of Midjourney and refining prompt guidelines. Thirdly, an experimental study compares AI tools to traditional methods in generating design concepts, evaluating time efficiency, accuracy, and creativity through pre- and post-survey questionnaires. The Results show that AI tools save over 40 minutes, 12.5% are more participants found AI more accurate, and significantly enhance creativity across six dimensions: diversity, novelty, conceptual blending, functionality, surprise, and aesthetic appeal. Finally, this paper concludes that AI not only transforms architectural thinking and design processes but also enhances the capabilities and efficiency of architecture firms, but there is an urgent need for the integration between human and AI in order to reach better Results.

Research topics

  • BIM and Construction Integration
  • 3D Surveying and Cultural Heritage
  • Architecture and Computational Design

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DOI: 10.37394/23202.2025.24.61

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