Influencing Factors on the Visualisation of Archaeological Uncertainty

Maria Sifniotis, P. Watten, K. Mania, M. White
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引用次数: 6

Abstract

This paper presents further work on a 3D visualisation system for the reconstruction of historical structures which takes into account archaeological uncertainty. The uncertainty associated with an archaeologist's interpretation is represented using possibility theory and visualised by shader-based information visualisation schemes. An increase or decrease in uncertainty is influenced by any related evidence recovered; we define this evidence as 'influencing factors'. Different types of archaeological evidence were identified after discussions with several archaeologists. To understand the individual importance of each influencing factor on an interpretation, we analysed data derived from formal questionnaires distributed to a selected group of archaeologists equally divided between Roman and non-Roman specialists. They were asked questions ranging from the wider perception of uncertainty to more specific ones on the identified types of archaeological evidence. We describe the stages involved in designing the questions, the process of gathering data and feedback from archaeologists, and the results themselves. Results suggest that specific evidence types are considered more favourably than others.
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考古不确定性可视化的影响因素
本文提出了一个三维可视化系统的进一步工作,用于重建历史建筑,其中考虑到考古的不确定性。与考古学家的解释相关的不确定性使用可能性理论表示,并通过基于着色器的信息可视化方案可视化。不确定性的增加或减少受到所发现的任何相关证据的影响;我们将这些证据定义为“影响因素”。在与几位考古学家讨论后,确定了不同类型的考古证据。为了了解每个影响因素对解释的重要性,我们分析了从正式问卷中获得的数据,这些问卷分发给一组选定的考古学家,这些考古学家平均分为罗马和非罗马专家。他们被问及的问题范围从对不确定性的更广泛的看法到对已确定的考古证据类型的更具体的问题。我们描述了设计问题的各个阶段,从考古学家那里收集数据和反馈的过程,以及结果本身。结果表明,特定的证据类型被认为比其他证据类型更有利。
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VIS Keynote Address: Data Visualization Literacy VIS Capstone Address: Visualizing Temporality and Chronologies for the Humanities VIS Keynote Address : When Visualization Met Augmented Reality VIS Capstone Address : Can I believe what I see?-Information theoretic algorithm validation VIS Keynote Address: Analytics Inspired Visualization: a Holistic In-situ Scientific Workflow at Extreme Scale
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