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Multidimensional ergonomic latent modeling of prefabricated adaptive decoration by robotic 3D printing
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  • Published: 04 March 2026

Multidimensional ergonomic latent modeling of prefabricated adaptive decoration by robotic 3D printing

  • Gangwei Cai1,2,3,
  • Binyan Xu4,
  • Zehuan Hu5,
  • Zhenwei Guo6,7,8,
  • Sheng He9,
  • Feidong Lu10,
  • Yiping Xia2,
  • Ziming Ren11,12,
  • Bart Julien Dewancker4 &
  • …
  • Weijun Gao4,13,14 

Humanities and Social Sciences Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

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  • Business and management
  • Science, technology and society
  • Social policy

Abstract

Chain hotels constitute 40.09% of all hotels, with indoor room decorations typically undergoing replacement cycles every 2 to 5 years. Robotic 3D printing-enabled prefabrication offers transformative potential for sustainable construction, combining precision engineering with environmental consciousness. This study explores its application in the hospitality sector, addressing both sustainability and ergonomic data. Using AI-driven multidimensional ergonomic latent modeling, key environmental factors such as sound insulation, lighting adaptability, and air quality are evaluated for their impact on service flexibility, safety, and user experience. By aligning technological innovation, this research provides a latent model for advancing prefabricated building adaptive decoration and low-carbon hotel design. The study underscores the importance of interdisciplinary efforts to achieve global sustainability goals and redefines prefabrication technologies, especially robotic 3D printing prefabricated decoration, as catalysts for operational excellence and transformative industry standards in sustainable hospitality. Moreover, this work extends the exploration of robotic 3D printing prefabricated solutions to the context of extreme environments and even extraterrestrial buildings, such as building habitats on Mars or the Moon, contributing valuable human factors engineering insights for future adaptive built environment research in these challenging settings.

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Data will be made available from the corresponding author upon request.

Notes

  1. National Health Commission of the PRC et al. Notice on the Measures for the Ethical Review of Life Science and Medical Research Involving Humans (27 February 2023). https://www.nhc.gov.cn/qjjys/c100016/202302/6b6e447b3edc4338856c9a652a85f44b.shtml

  2. Personal Information Protection Law of the PRC (effective 1 November 2021). https://www.cac.gov.cn/2021-08/20/c_1631050028355286.htm

    ; GB/T 35273-2020 Information security technology—Personal information security specification. https://openstd.samr.gov.cn/bzgk/gb/newGbInfo?hcno=4568F276E0F8346EB0FBA097AA0CE05E

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Authors and Affiliations

  1. Department of Architecture, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

    Gangwei Cai

  2. Institute of Landscape Architecture, Zhejiang University, Hangzhou, China

    Gangwei Cai & Yiping Xia

  3. Hangzhou International Urbanology Research Center & Zhejiang Urban Governance Studies Center, Hangzhou, China

    Gangwei Cai

  4. Faculty of Environmental Engineering, University of Kitakyushu, Fukuoka, Japan

    Binyan Xu, Bart Julien Dewancker & Weijun Gao

  5. The Center for Energy Systems Design (CESD), Kyushu University, Fukuoka, Japan

    Zehuan Hu

  6. China Academy of Building Research, Beijing, China

    Zhenwei Guo

  7. Chinese Society for Urban Studies, Beijing, China

    Zhenwei Guo

  8. School of Architecture, Tianjin University, Tianjin, China

    Zhenwei Guo

  9. School of Art, Southeast University, Nanjing, China

    Sheng He

  10. Tongji Architectural Design (Group) Co., Ltd., Shanghai, China

    Feidong Lu

  11. School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, China

    Ziming Ren

  12. Zhejiang Key Laboratory of Green, Digital and Intelligent (GDl) Renovation for Urban Infrastructures, Hangzhou, China

    Ziming Ren

  13. Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo Surabaya, Surabaya, Indonesia

    Weijun Gao

  14. The Engineering Academy of Japan, Tokyo, Japan

    Weijun Gao

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Contributions

G.C. wrote the main manuscript text (original draft, review, and revision), project administration, methodology, and visualization. G.C. prepared figures and tables. B.X. and Z.H. contributed to formal analysis. Z.G., S.H., and F.L. contributed to the methodology and analysis. Y.X. and Z.R. contributed to conceptualization and analysis. B.J.D. and W.G. provided supervision. All authors reviewed the manuscript.

Corresponding authors

Correspondence to Gangwei Cai, Zhenwei Guo, Feidong Lu or Ziming Ren.

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Competing interests

The authors declare no competing interests.

Ethical approval

An exemption (waiver of ethics committee review) was granted by the School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, on 15 January 2025 (Exemption/Reference No.: 20250115-1). The exemption was granted because the study was a non-interventional, anonymous online questionnaire on hotel interior decoration and tourists’ perceptions, collected no personally identifiable information and no sensitive personal information, and posed no more than minimal risk to participants. All procedures were conducted in accordance with the ethical principles of the Declaration of Helsinki (or equivalent standards) and applicable regulations and data-protection requirements. In line with the scope defined in China’s Measures for the Ethical Review of Life Science and Medical Research Involving Humans (issued 27 February 2023), which governs ethics review for life-science and medical research involving humans, the study was handled as exempt by the Approval Body.Footnote 1 Data handling complied with the Personal Information Protection Law (PIPL) and relevant national standards for personal information protection.Footnote 2

Informed consent

Informed consent was obtained from all participants using an implied electronic consent procedure via the Wenjuanxing platform. During the survey period (2 December 2024 to 17 December 2024), an information sheet prepared by the research team was presented on the first page of the questionnaire and described the study purpose, why the research was being conducted, voluntary participation, anonymity of responses, foreseeable risks (none beyond minimal risk), data-handling procedures, and the option to withdraw by exiting the survey at any time before submission. Consent was indicated by each adult participant (aged ≥18 years) voluntarily proceeding to complete and submit the anonymous questionnaire. Consent covered participation, use of anonymized responses for research analysis, and publication of aggregated results. The research team analyzed only anonymized responses and reported results only in an aggregated/anonymized form. We confirmed that informed consent was obtained from all subjects.

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Cai, G., Xu, B., Hu, Z. et al. Multidimensional ergonomic latent modeling of prefabricated adaptive decoration by robotic 3D printing. Humanit Soc Sci Commun (2026). https://doi.org/10.1057/s41599-026-06688-0

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  • Received: 22 January 2025

  • Accepted: 03 February 2026

  • Published: 04 March 2026

  • DOI: https://doi.org/10.1057/s41599-026-06688-0

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