LineUp: visual analysis of multi-attribute rankings.
LineUp: visual analysis of multi-attribute rankings.
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DOI：
10.1109/tvcg.2013.173
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发表时间：
2013-12
影响因子：
5.2
通讯作者：
Streit M
中科院分区：
文献类型：
--
作者：
Gratzl S;Lex A;Gehlenborg N;Pfister H;Streit M
排名是一种流行且通用的方法，用于通过基于每个项目的一个或多个属性的值来计算每个项目的排名，来组织原本没有组织的项目集合。例如，这使我们可以确定任务的优先顺序，或者评估产品彼此之间的性能。虽然排名本身的可视化是直截了当的，但它的解释却并非如此，因为项目的排名只表示其属性与其他项目的属性之间潜在复杂关系的汇总。同样常见的是，存在需要比较和分析的替代排名，以深入了解多个异类属性如何影响排名。需要先进的可视化探索工具来提高这一过程的效率。本文对多属性排序的可视化需求进行了全面分析。基于这些考虑，我们提出了LINUP--一种使用条形图的新颖且可伸缩的可视化技术。该交互技术支持基于多个具有不同尺度和语义的异质属性对项目进行排序。它使用户能够交互地组合属性，并灵活地细化参数，以探索属性组合中更改的效果。可以使用该过程来获得关于需要修改项目的哪些属性以使其排名改变的可操作的见解。此外，通过整合斜率图，阵容还可以用于比较同一组项目上的多个备选排名，例如，随着时间的推移或跨不同的属性组合。我们在定性研究中评估了所提出的多属性可视化技术的有效性。研究表明，用户能够在短时间内成功解决复杂的排名任务。
Rankings are a popular and universal approach to structuring otherwise unorganized collections of items by computing a rank for each item based on the value of one or more of its attributes. This allows us, for example, to prioritize tasks or to evaluate the performance of products relative to each other. While the visualization of a ranking itself is straightforward, its interpretation is not, because the rank of an item represents only a summary of a potentially complicated relationship between its attributes and those of the other items. It is also common that alternative rankings exist which need to be compared and analyzed to gain insight into how multiple heterogeneous attributes affect the rankings. Advanced visual exploration tools are needed to make this process efficient. In this paper we present a comprehensive analysis of requirements for the visualization of multi-attribute rankings. Based on these considerations, we propose LineUp - a novel and scalable visualization technique that uses bar charts. This interactive technique supports the ranking of items based on multiple heterogeneous attributes with different scales and semantics. It enables users to interactively combine attributes and flexibly refine parameters to explore the effect of changes in the attribute combination. This process can be employed to derive actionable insights as to which attributes of an item need to be modified in order for its rank to change. Additionally, through integration of slope graphs, LineUp can also be used to compare multiple alternative rankings on the same set of items, for example, over time or across different attribute combinations. We evaluate the effectiveness of the proposed multi-attribute visualization technique in a qualitative study. The study shows that users are able to successfully solve complex ranking tasks in a short period of time.