2026-08-16T22:17:39Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:24021 2025-12-12T15:07:07Z ddc:004 open_access

Monitoring the Structural Health of Space Habitats Through Immersive Data Art Visualization Gao, Ze Zhuang, Yuan Wang, Kunqi Guo, Mengyao Structural health monitoring space habitats immersive visualization human-centered design interdisciplinary innovation 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Ze Gao and Yuan Zhuang and Kunqi Wang and Mengyao Guo 2025 Is Part Of OASIcs, Volume 130, Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SpaceCHI.2025.31 urn:nbn:de:0030-drops-240217 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SpaceCHI.2025.31 eng https://creativecommons.org/licenses/by/4.0/legalcode