Extending X-reality technologies to digital twin in cultural heritage risk management: a comparative evaluation from the perspective of situation awareness
Yuqing Guo, Lin Liu, Wei Huang, Min Shen, Xiaolie Yi, Jifa Zhang, Shizhu Lu
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引用次数: 0
Abstract
DT systems, characterized by real-time capabilities, high precision, and high integration, have become essential in various domains. In the context of cultural heritage, a DT system encompasses comprehensive information about heritage sites, contextual data, and expert knowledge, forming a complex dynamic system. The substantial volume of information and diverse sources significantly increases the cognitive load for management personnel in understanding on-site situations. This study, from the perspective of situational awareness, introduces X-reality technologies (VR and AR) into DT systems for cultural heritage risk management. The aim is to evaluate the effectiveness of different X-reality technologies in cultural heritage risk perception and their impact mechanisms. A total of 184 participants were divided into two groups and experienced three different applications (2D desktop, VR, and AR). Using situational awareness rating techniques, participants' responses were measured across three dimensions: attention resource demand, attention resource supply, and understanding of the situation. SEM was employed to estimate the stability of the scale data. The results indicate that, compared to traditional 2D desktops, both VR and AR demonstrate advantages in enhancing heritage risk situational awareness. However, in AR mode, no significant advantages were found in the dimensions of attention resource demand and attention resource supply compared to traditional 2D desktop applications. Furthermore, a significant difference in immersion between VR and AR was found to affect the attention resource demand dimension. Although the results suggest differences in the interactivity of VR and AR in affecting the attention resource demand dimension, no significant differences were found. By comprehensively understanding the functional mechanisms of X-reality technologies in influencing cultural heritage risk situational awareness, this study provides design references for constructing DT systems for cultural heritage risk management. Additionally, it offers insights for heritage site managers, experts, and stakeholders to enhance risk perception efficiency, promoting more effective risk assessment, analysis, and strategic decision-making, thereby reducing damage to cultural heritage.
数字地图系统具有实时性、高精度和高集成度的特点,在各个领域都已变得不可或缺。在文化遗产领域,数字地图系统包括遗产地的综合信息、背景数据和专家知识,形成一个复杂的动态系统。大量的信息和多样化的来源大大增加了管理人员了解现场情况的认知负荷。本研究从态势感知的角度出发,将 X 现实技术(VR 和 AR)引入 DT 系统,用于文化遗产风险管理。目的是评估不同 X 现实技术在文化遗产风险感知中的有效性及其影响机制。共有 184 名参与者被分为两组,体验了三种不同的应用(2D 桌面、VR 和 AR)。利用情境感知评级技术,从三个维度测量了参与者的反应:注意力资源需求、注意力资源供应和对情境的理解。采用 SEM 估算量表数据的稳定性。结果表明,与传统的 2D 桌面相比,VR 和 AR 在增强遗产风险态势感知方面都具有优势。然而,在 AR 模式下,与传统的 2D 桌面应用相比,在注意力资源需求和注意力资源供应方面没有发现明显的优势。此外,还发现 VR 和 AR 在沉浸感方面的显著差异会影响注意力资源需求维度。尽管研究结果表明,VR 和 AR 的交互性在影响注意力资源需求维度方面存在差异,但并未发现显著差异。通过全面了解 X 现实技术影响文化遗产风险态势感知的功能机制,本研究为构建文化遗产风险管理的 DT 系统提供了设计参考。此外,它还为遗产地管理者、专家和利益相关者提高风险感知效率,促进更有效的风险评估、分析和战略决策,从而减少对文化遗产的破坏提供了启示。
期刊介绍:
Heritage Science is an open access journal publishing original peer-reviewed research covering:
Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance.
Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies.
Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers.
Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance.
Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance.
Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects.
Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above.
Description of novel technologies that can assist in the understanding of cultural heritage.