Data visualization
The dataset includes information on the user testing results of the study about the effectiveness mesuerement odf the use of static maps and
their banded versions. The main variables are (quantitative) : Completion time and success rates and quantitative (number of votes about the effectiveness of each map).
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Decision-makers across many professions are often required to make multi-objective decisions over increasingly larger volumes of data with several competing criteria. Data visualization is a powerful tool for exploring these complex ‘solution spaces’, but there is little research on its ability to support multi-objective decisions. In this paper, we explore the effects of visualization design and data volume on decision quality in multi-objective scenarios with complex trade-offs.
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