4.7 Article Proceedings Paper

Off the Radar: Comparative Evaluation of Radial Visualization Solutions for Composite Indicators

Journal

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2015.2467322

Keywords

Visualization evaluation; radial layout design; composite indicator visualization; experiment

Funding

  1. Israel Internet Association-ISOC-IK
  2. Appleseeds Academy
  3. LINKS I-CORE Program of the Planning and Budgeting Committee
  4. Israel Science Foundation [1716/12]

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A composite indicator (CI) is a measuring and benchmark tool used to capture multi-dimensional concepts, such as Information and Communication Technology (ICT) usage. Individual indicators are selected and combined to reflect a phenomena being measured. Visualization of a composite indicator is recommended as a tool to enable interested stakeholders, as well as the public audience. to better understand the indicator components and evolution over time. However. existing Cl visualizations introduce a variety of solutions and there is a lack in Cl's visualization guidelines. Radial visualizations are popular among these solutions because of Cl's inherent multi-dimensionality. Although in dispute, Radar-charts are often used for Cl presentation. However, no empirical evidence on Radar's effectiveness and efficiency for common Cl tasks is available. In this paper, we aim to fill this gap by reporting on a controlled experiment that compares the Radar chart technique with two other radial visualization methods: Flower-charts as used in the well-known OECD Betterlife index, and Circle-charts which could be adopted for this purpose. Examples of these charts in the current context are shown in Figure 1. We evaluated these charts, showing the same data with each of the mentioned techniques applying small multiple views for different dimensions of the data. We compared users' performance and preference empirically under a formal task-taxonomy. Results indicate that the Radar chart was the least effective and least liked, while performance of the two other options were mixed and dependent on the task. Results also showed strong preference of participants toward the Flower chart. Summarizing our results, we provide specific design guidelines for composite indicator visualization.

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