Bridging the Idea-Concept Gap in Architectural Design: A Behavioral Analysis-Based Method
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Abstract
Problem Statement: The architectural design process with a discernible gap between the initial idea and the final concept, leading to diminished spatial quality, increased costs, and user dissatisfaction. This research aims to analyze the causes of this disjunction and propose strategies for the effective integration of the ideation and form-finding stages. This study investigates three key questions: What distinct behavioral patterns can be identified among architects during the process of transforming an idea into a form? How can traditional and digital tools be employed to strengthen this connection? What strategies exist for more effectively teaching this process to architecture students?
Objective: The objectives is to identify designers' behavioral patterns in the idea-to-concept transformation process and analyze the factors contributing to the disjunction between these two stages. To propose a practical framework (the IFE Model) for integrating idea and form in architectural design and to enhance educational and professional processes.
Method: This study employs a mixed-methods approach (qualitative-quantitative), conducted through content analysis of selected design projects, semi-structured interviews with professional architects, and design process observation in architectural studios.
Results and Conclusion: By analyzing designers' behaviors during conceptualization, this research has yield three primary findings, corresponding to distinct behavioral approaches: the Linear Approach (gradual transformation of idea into form), the Iterative Approach (cyclical return to the initial idea), and the Networked Approach (using digital tools for the simultaneous development of idea and form). Findings reveal, 77% of designers utilize non-linear methods. By introducing the Idea-Form-Evaluation (IFE) Framework, this paper suggests that integrating traditional techniques (such as hand sketching) with digital technologies (such as AI-based image generation) can reduce the gap between the initial concept and the final form by up to 40%.
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