DCPAIRS: A Pairs Plot Based Decision Support System
Abstract
Visualizations designed to support multi-attribute decisions often use colors to encode the identity of the attributes. This approach
facilitates mapping of attributes across multiple coordinated views but it has certain limitations: colors often communicate
semantics (e.g., red stands for “danger”) deemed to influence the user’s preference, and qualitative color palettes are
of limited scalability. We are currently developing a tool with an alternative approach, DCPAIRS: a pairs plot based decision
making support tool that employs a compact overview of the decision space and uses visual encodings that communicate uncertainty
and suboptimal preference elicitation. Instead of encoding the identity of attributes we use colors for user-authored
annotations to support the decision making process. A use case scenario of a prospective undergraduate student choosing a
university from the “QS world university ranking” dataset illustrates the functionality of the tool.
Origin : Files produced by the author(s)
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