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Innovative Design Thinking and AI Application in Rendering Visualization of Small Residential Multifunctional Furniture Design Development

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NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/DCLMDL
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This study explores the depth of design methods and system applications that are effective in visualizing multifunctional furniture rendering, especially for small housing in Kelurahan Klitik, Malang City, Indonesia. The limited space that characterizes housing in small urban areas demands creative solutions in furniture design that are not only multifunctional but also display aesthetically. This research adopts a methodological approach of thinking design, starting with data collection through field surveys, interviews with residents, and analysis of space needs. Based on this data, the researchers developed a prototype visualization rendering using the latest 3D modelling software, which allows users to virtually design how multifunctional furniture can optimize limited spaces. The use of the Design Thing method has proven effective in identifying key elements that must be integrated in furniture to fulfil various functions without sacrificing aesthetics or comfort. Meanwhile, system applications in the design process facilitate collaboration between designers, occupants, and furniture makers, ensuring that the results match user expectations. Comparative analysis between various visualization techniques, rendering, and feedback from occupants provides valuable insights into design and function preferences. The findings of this study not only contribute to the field of furniture design and interior design visualization, but also offer a practical guide for developers, interior designers, and individuals looking for innovative furniture solutions for small spaces. Through the practical application of the Design Thing method by utilizing AI technology, this research proves that space limitations can be overcome with intelligent design innovations and advanced visualization technology.
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2024-07-09
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