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Book Chapter

Reflecting Users’ Physical Characteristics in Spatial Visualization

  • Sumin Chae
  • Hayoung Jo
  • Bomin Kim
  • Jin-Kook Lee

This paper aims to quickly and precisely visualize remodeled design images based on image generation AI so that they can be used as alternative images in the early stages of design. In order to create a space image suitable for the user, the contents of the text are proceeded as follows. Bathrooms with many accidents in the space were selected as the target space, and users were designated as elderly people with many physical changes. Learning image data for additional training was self-generated according to the user's body characteristics, and the learning data focused on musculoskeletal aging among the body characteristics of elderly users. When the image was generated using additional training models, it was confirmed that a meaningful spatial image was created for musculoskeletal aging users, and it can be expected that the spatial image for spatial remodeling can be obtained quickly and accurately without the help of experts through subsequent studies to make it easier for general users

  • Keywords:
  • Generative AI,
  • Physical Characteristics,
  • Elderly-friendly Bathroom,
  • Detailed Modeling,
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Sumin Chae

Yonsei University, Korea (the Republic of)

Hayoung Jo

Yonsei University, Korea (the Republic of)

Bomin Kim

Yonsei University, Korea (the Republic of) - ORCID: 0009-0007-2500-3231

Jin-Kook Lee

Yonsei University, Korea (the Republic of) - ORCID: 0000-0002-5179-6550

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  2. Beyan, E. V. P., & Rossy, A. G. C. (2023). A Review of AI Image Generator: Influences, Challenges, and Future Prospects for Architectural Field. Journal of Artificial Intelligence in Architecture, 2(1), 53-65. DOI: 10.24002/jarina.v2i1.6662
  3. Demirbilek, O., & Demirkan, H. (2004). Universal product design involving elderly users: a participatory design model. Applied ergonomics, 35(4), 361-370. DOI: 10.1016/j.apergo.2004.03.003
  4. Evans, G. W., Wells, N. M., & Moch, A. (2003). Housing and mental health: a review of the evidence and a methodological and conceptual critique. Journal of social issues, 59(3), 475-500. DOI: 10.1111/1540-4560.00074
  5. Eastman, C., Lee, J. M., Jeong, Y. S., & Lee, J. K. (2009). Automatic rule-based checking of building designs. Automation in construction, 18(8), 1011-1033. DOI: 10.1016/j.autcon.2009.07.002
  6. Gitlin, L. N., Swenson Miller, K., & Boyce, A. (1999). Bathroom modifications for frail elderly renters: Outcomes of a community-based program. Technology and Disability, 10(3), 141-149. DOI: 10.3233/TAD-1999-10302
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  8. Kather, J. N., Ghaffari Laleh, N., Foersch, S., & Truhn, D. (2022). Medical domain knowledge in domain-agnostic generative AI. NPJ digital medicine, 5(1), 90. DOI: 10.1038/s41746-022-00634-5
  9. Lee, J. K., Lee, J., Jeong, Y. S., Sheward, H., Sanguinetti, P., Abdelmohsen, S., & Eastman, C. M. (2012). Development of space database for automated building design review systems. Automation in Construction, 24, 203-212. DOI: 10.1016/j.autcon.2012.03.002
  10. Zhang, C., Zhang, C., Zhang, M., & Kweon, I. S. (2023). Text-to-image diffusion model in generative ai: A survey. arXiv preprint arXiv:2303.07909.
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  • Publication Year: 2023
  • Pages: 943-949

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  • Publication Year: 2023

Chapter Information

Chapter Title

Reflecting Users’ Physical Characteristics in Spatial Visualization

Authors

Sumin Chae, Hayoung Jo, Bomin Kim, Jin-Kook Lee

DOI

10.36253/979-12-215-0289-3.94

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

51

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