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Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users

Abstract : Researchers have reported a lack of experience and low graph literacy as significant problems when making visual analytics applications available to a general audience. Therefore, it is fundamental to understand the strengths and weaknesses of different visualizations in the decision-making process. This paper explores the benefits and challenges of an intuitive, a compact, and a detailed visualization for supporting non-expert users. Using objective and subjective means proposed by earlier work, we determine the benefits and trade-offs of these visualizations for different task complexity levels. We found that while an intuitive visualization can be a good choice for easy level and medium level tasks, hard level tasks are best supported with a richer, yet visually more demanding visualization.
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Submitted on : Thursday, April 16, 2020 - 2:32:53 PM
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Francisco Gutiérrez, Xavier Ochoa, Karsten Seipp, Tom Broos, Katrien Verbert. Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.576-597, ⟨10.1007/978-3-030-29384-0_35⟩. ⟨hal-02544619⟩

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