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Description:
Data visualization is a powerful tool to efficiently and effectively extract knowledge from data and gain insights through interactive analysis procedures. For each data and task, there are different visualization techniques that are optimal for the particular analysis procedure. However, not only the visualization can affect the task - but also how the visualization is observed. It makes a huge difference if the data is analyzed on the small displays of smartphones, on standard monitor screens, on huge powerwall displays comparable to the size of cinema screens, or -- what is a more recent development -- in so-called immersive environments. In immersive environments, the real environment is augmented or replaced by virtual elements, allowing a high degree of freedom in the design of analysis environments, visualizations, and interaction concepts. Immersive analytics comprises analysis procedures that make use of such immersive and more engaging media. Currently, one of the biggest problems in immersive analytics is that the added value of immersive devices, for example, compared to conventional monitor screens, is not clearly defined. There is no common set of rules to determine, for instance, when it makes sense to use virtual reality. This is because the technology is relatively new and constantly evolving. Therefore, a regularly recurring challenge is to evaluate such immersive environments for information visualization applications and to answer the question of whether and how the deployment of virtual reality makes sense for a given combination of data, task, and visualization. This thesis describes how the assessment of added value through virtual reality can be carried out using three different strategies. The first is based on logical reasoning using deductions from literature to justify the use of immersive media without an evaluation in the classical sense. As a side effect, this approach can reveal research gaps and indicate which research directions are promising and should be further investigated. ...