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Monitoring the Structural Health of Space Habitats Through Immersive Data Art Visualization

Authors Ze Gao , Yuan Zhuang , Kunqi Wang , Mengyao Guo

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Subject Classification

ACM Subject Classification
  • Human-centered computing → Human computer interaction (HCI)
  • Human-centered computing → Haptic devices
  • Human-centered computing → Visualization systems and tools
Keywords
  • Structural health monitoring
  • space habitats
  • immersive visualization
  • human-centered design
  • interdisciplinary innovation

Metrics

Abstract

As humanity advances toward long-term space habitation, traditional SHM systems - reliant on abstract data representations - struggle to support rapid decision-making in extreme environments. This study addresses this critical gap by introducing an engineering-art-human factors framework that transforms SHM through immersive data-art visualization. By integrating sensor networks and machine learning, structural data (stress, vibration, deformation) is converted into intuitive visual languages: dynamic color gradients and biomimetic morphologies leverage perceptual laws (e.g., Weber-Fechner) to amplify critical signals. Multimodal interfaces (AR, haptic feedback) and natural elements mitigate cognitive load and psychological stress in confined habitats. Our contribution lies in redefining SHM as a synergy of precision and intuition, enabling "at-a-glance" assessments while balancing functionality and human-centric design. The urgency of this research stems from the inadequacy of conventional systems in extreme space conditions and the growing demand for astronaut safety and operational efficiency. This framework not only pioneers a sustainable monitoring paradigm for space habitats but also extends to terrestrial high-risk infrastructure, demonstrating the necessity of interdisciplinary innovation in extreme environments.

Cite As Get BibTex

Ze Gao, Yuan Zhuang, Kunqi Wang, and Mengyao Guo. Monitoring the Structural Health of Space Habitats Through Immersive Data Art Visualization. In Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025). Open Access Series in Informatics (OASIcs), Volume 130, pp. 31:1-31:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/OASIcs.SpaceCHI.2025.31

Author Details

Ze Gao
  • Cyanpuppets, Guangzhou, China
  • Hong Kong Polytechnic University, China
Yuan Zhuang
  • Shandong University, Jinan, China
Kunqi Wang
  • Jinan Foreign Language School, Jinan, China
Mengyao Guo
  • Harbin Institute of Technology, Shenzhen, China

Acknowledgements

The authors acknowledge industry experts for their technical and theoretical contributions to this interdisciplinary framework. We thank the School of Astronautics, Harbin Institute of Technology, for critical feedback on experimental design and validation. Collaborators’ insights enhanced sensor robustness and human-centered interfaces. Future work will partner with MIT Media Lab to advance immersive visualization and with the European Astronaut Centre (EAC) for microgravity validation. These collaborations aim to translate our engineering-art-human factors framework into operational solutions for sustainable space exploration and terrestrial resilience.

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