Information visualisation literacy assessment to aid design of visualisation tools for novice users

该项目涉及可视化素养的研究。可视化素养被定义为阅读和解释可视化数据并从数据可视化中提取信息的能力和技能。随着数据越来越多地用于为许多不同领域的决策提供信息，并使我们周围的世界变得有意义，解释数据集并理解其内容的能力越来越成为我们工作和个人生活中必不可少的导航。要使用数据，个人需要技术，技术和概念上的理解，以参与数据集，将其内容转换为有意义的信息。信息可视化为理解数据提供了强大的手段。可视化的力量在于它能够通过利用认知和感知特征来增强人类强大的视觉技能，这些特征允许人们在数据集中检测模式，趋势，异常值和聚类等特征。由于可视化是基于增强人类视觉技能，因此从用户的角度设计可视化系统至关重要。并非所有的用户都是一样的;使用可视化的能力有不同的水平。这个技能就是视觉化素养。如果用户不能自信地使用可视化来理解所代表的信息，那么可视化就不起作用，并剥夺了个人参与我们日益数据驱动的世界的能力。我们有可能扩大我们社会中已经很明显的数字鸿沟。因此，资讯视觉化素养的评估对于确保使用者能成功地理解资料是非常重要的，本研究旨在改善资讯视觉化素养的评估。近年来，可视化素养已经开始关注可视化素养，并开发了评估用户的方法。然而，这些方法都集中在识别个人的视觉化素养水平;他们没有探索可视化类型，数据集和用户在解释可视化时执行的任务的作用。本研究旨在建立在以前的研究基础上，开发评估方法，以捕获可视化类型，数据集和任务在可视化素养中的作用，建立一种可以与当代可视化设计实践相结合的评估方法。利用这些发现来开发一种评估，该评估可以与可视化工具一起部署，以帮助培训用户和评估主题在理解可视化中的作用。这些方法将用于帮助部署I-sense为中低收入国家缺乏技术经验的卫生工作者开发的可视化工具。

The project is concerned with the study of visualisation literacy. Visualisation literacy is defined as the ability and skill to read and interpret visually represented data in and to extract information from data visualisations. As data is increasingly used to inform decisions in many different fields and make sense of the world around us, the ability to interpret data sets and understand their contents is increasingly becoming of an essential to navigating our work and personal lives. To work with data an individual needs the technologic, technical and conceptual under- standing to engage with datasets to convert their content into meaningful information. Information visualisation offerings a powerful means of understanding data. The power of visualisation lies in its ability to augment humans strong visual skills through exploiting the cognitive and perceptual traits that allow people to detect features such as patterns, trends, outliers and clusters in a dataset.As visualisations are based on augmenting human visual skills, it is essential to design visualisation systems from the perspective of a user. Not all users are the same; there are different levels of ability to use visualisations. This skill is visualisation literacy. If a user cannot confidently use visualisation to understand the information represented, the visualisation does not work and denies an individual the ability to participate in our increasingly data-driven world. We risk increasing the digital divide already evident in our society. Therefore, it is essential to that information visualisation literacy into account in to ensure users can successfully understand data.This research aims to improve information visualisation literacy assessment. In recent years visualisation literacy has begun to pay attention to visualisation literacy and means assessing users have been developed. However, These methods are focused on the identification of an individual visualisation literacy level; they do not explore the role that visualisation types, datasets and the tasks the user performs as they interpret a visualisation.This research aims to build on previous research to develop means of assessment that capture the role of visualisation types, datasets and tasks play in visualisation literacy, building a means of assessment that can be integrated with contemporary visualisation design practices. Using these findings to develop an assessment that can be deployed alongside a visualisation tool to aid training the user and the assessment of the role of subject matter in understanding a visualisation. These methods will be applied to aid the deployment of visualisation tools developed by I-sense for health workers with a lack of technical experience in lower and middle income countries.