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Remote Diagnosis of Architectural Heritage Based on 5W1H Model-Based Metadata in Virtual Reality

机译:基于5W1H模型的虚拟现实元数据的基于5W1H模型的架构遗传诊断

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摘要

We propose a framework based on the 5W1H model-based metadata for remote diagnosis in virtual reality (VR). For this purpose, we suggest unique metadata composed of Point of Interest (POI)-extended anchor (xAnchor)-content for a context-aware service in virtual and augmented reality. We define the attributes of the metadata based on the 5W1H context for information retrieval according to the context in a remote diagnosis. Second, we propose the ontology-based linker metadata that express the relations between AR scenes and that retrieve external information. Moreover, we suggest heritage building information metadata for information retrieval according to context. For evaluation, we created a geo-tagged content tool and a remote diagnosis VR application. We conducted focus-group interviews and heuristic evaluations for remote diagnosis in VR to verify the methodology of this study. As a result, we found that experts were most satisfied with the functions that provide the contextualized information. This study contributes to the geospatial metadata for a context-aware service in VR/AR as well as the remote diagnosis framework to overcome the time-consuming problem of the existing remote diagnosis.
机译:我们提出了一种基于在虚拟现实(VR),远程诊断基于模型的5W1H的元数据框架。为此,我们建议在虚拟和增强现实情境感知服务的兴趣点(POI)-Extended锚(xAnchor)-content组成的独特的元数据。我们定义根据在远程诊断上下文基于用于信息检索的5W1H上下文元数据的属性。其次,我们建议表达AR场景和获取外部信息之间的关系,基于本体的连接器的元数据。此外,我们建议遗产根据上下文信息建设的元数据信息检索。对于评价,我们创建了一个地理标记内容的工具和远程诊断VR应用。我们进行焦点小组访谈,并在VR远程诊断启发式评估,以验证这项研究的方法论。其结果是,我们发现,专家们最满意的是提供情境信息的功能。此研究有助于在VR / AR情境感知服务地理空间元数据以及远程诊断框架,以克服现有远程诊断的费时的问题。

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