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RoomDreaming: Generative-AI Approach to Facilitating Iterative, Preliminary Interior Design Exploration

Published: 11 May 2024 Publication History

Abstract

Interior design aims to create aesthetically pleasing and functional environments within an architectural space. For a simple room, the preliminary design exploration currently takes multiple meetings and days of work for interior designers to incorporate homeowners’ personal preferences through layout, furnishings, form, colors, and materials. We present RoomDreaming, a generative AI-based approach designed to facilitate preliminary interior design exploration. It empowers owners and designers to rapidly and efficiently iterate through a broad range of AI-generated, photo-realistic design alternatives, each uniquely tailored to fit actual space layouts and individual design preferences. We conducted a series of formative and summative studies with a total of 18 homeowners and 20 interior designers to help design, improve, and evaluate RoomDreaming. Owners reported that RoomDreaming effectively increased the breadth and depth of design exploration with higher efficiency and satisfaction. Designers reported that one hour of collaborative designing with RoomDreaming yielded results comparable to several days of traditional owner-designer meetings, plus days to weeks worth of designer work to develop and refine designs.

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Cited By

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  • (2025)GPSdesign: Integrating Generative AI with Problem-Solution Co-Evolution Network to Support Product Conceptual DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2025.2453003(1-21)Online publication date: 10-Feb-2025

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cover image ACM Conferences
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
May 2024
18961 pages
ISBN:9798400703300
DOI:10.1145/3613904
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Published: 11 May 2024

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  1. architecture
  2. generative-AI
  3. human-centered AI
  4. interior design

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  • (2025)GPSdesign: Integrating Generative AI with Problem-Solution Co-Evolution Network to Support Product Conceptual DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2025.2453003(1-21)Online publication date: 10-Feb-2025

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