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[2I4-GS-3-04] A Case Study of the Development of a Sensitivity-Based Interactive House Design Assistance System Using Generative AI.
Keywords:sensibilities, emotional, housing design, AI application system, Design support
The design of individual houses typically involves the responsible designer examining appropriate design elements based on the residents' family composition, lifestyle, and sensibilities, and materializing these elements through dialogue with the residents.
In particular, it is crucial to identify the residents' sensibilities and incorporate them into the design.
However, such design processes require advanced communication skills, a deep understanding of the residents, and the ability to translate these insights into concrete designs, which can be challenging for less experienced designers.To address this, we developed a housing design support system that proposes specific design elements based on information about the residents and facilitates dialogue with them.
This system incorporates innovations such as process decomposition suitable for individual house design and allows for revisions to the design content through chat-based interactions. Additionally, identifying the residents' sensibilities and reflecting them in the design are key features of this system.Evaluation by practitioners confirmed the potential of this system to support dialogue and design with residents.
This paper outlines the overall structure of the system, the reasoning algorithms for sensibilities and design elements, and the evaluation results obtained from the prototype system.
In particular, it is crucial to identify the residents' sensibilities and incorporate them into the design.
However, such design processes require advanced communication skills, a deep understanding of the residents, and the ability to translate these insights into concrete designs, which can be challenging for less experienced designers.To address this, we developed a housing design support system that proposes specific design elements based on information about the residents and facilitates dialogue with them.
This system incorporates innovations such as process decomposition suitable for individual house design and allows for revisions to the design content through chat-based interactions. Additionally, identifying the residents' sensibilities and reflecting them in the design are key features of this system.Evaluation by practitioners confirmed the potential of this system to support dialogue and design with residents.
This paper outlines the overall structure of the system, the reasoning algorithms for sensibilities and design elements, and the evaluation results obtained from the prototype system.
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