Information visualization in realistic 3D rendering

为了支持对复杂工业数据集的有效理解和决策，该公司需要在一个逼真的数字环境中连贯地可视化与代表性3D模型相关的结构数据和抽象数据。该公司在创建和渲染具有代表性的3D模型方面已经建立了专业知识，但它需要在逼真的环境中有效地可视化抽象数据的新方法。将逼真的渲染和信息可视化（主要以2D形式与线形图和条形图等抽象图表进行操作）相结合，将大大扩展公司的生产范围和能力，增强公司在全球工业数据分析提供商舞台上的竞争力。我们假设，通过将抽象数据以三维的方式呈现信息可视化，与具象模型保持一致，我们可以促进对复杂工业数据集的许多方面的系统理解，促进准确的数据感知和有效的决策。这个engage项目是创建3D渲染中无缝整合信息可视化方法并评估其有效性的第一步。我们将首先确定在3D渲染中立即需要信息可视化并具有实际影响的用例，以及需要可视化的抽象数据类型。然后，我们将使用以人为中心的方法，例如提取人们可能想要在可视化中执行的任务并理解使用上下文。我们将通过设计空间探索来研究如何在三维可视化的基础上最好地表现抽象数据。然后，我们将设计并运行一个实验室用户研究，以比较我们设计空间中最有希望的设计变化。根据研究结果，我们将得出数据的抽象表示与3D可视化的兼容性，人们如何理解可视化映射，以及将这两种类型的信息可视化地结合在一起的利弊。

To support effective understanding and decision making of complex industrial datasets, the company needs to visualize both structural data that can be related to representational 3D models, as well as abstract data, coherently in one photorealistic digital environment. The company has established expertise in creating and rendering representational 3D models, but it needs novel approaches for visualizing abstract data effectively in a photorealistic environment. Combining photorealistic rendering and information visualization - that mostly operates in 2D with abstract charts such as line and bar charts - will significantly extend the scope and capability of the company's production, enhancing the company's competitiveness on the global stage of industrial data analytics providers. We hypothesize that by rendering the information visualization of abstract data in 3D, coherently with the representational models, we may facilitate a systemic comprehension of the many facets of complex industrial datasets, promote accurate data perception and efficient decision-making. This engage project is the first step towards creating methods for seamlessly incorporating information visualization in 3D rendering and evaluate its effectiveness.We will first determine the use case that has immediate need of information visualization inside a 3D rendering and has practical impact, as well as the type of abstract data that needs to be visualized. Then, we will use human-centred methodologies such as extracting the tasks that people might want to perform on the visualization and understanding the context of use. We will research through a design space exploration how to best represent the abstract data on top of the 3D visualization through design space exploration. We will then design and run an in-lab user study to compare the most promising design variations from our design space. Based on the study results, we will derive how compatible the abstract representations of data are with the 3D visualizations, how people understand the visual mappings, and what are the benefits and disadvantages of combining these two types of information visually.