In this position paper we investigate the role of decision making in uncertainty visualization. We introduce common decision making strategies identified by the cognitive science community [22]. These strategies are then used to reanalyze 21 design study papers that have previously been used as a foundation for defining visual parameter space analysis [26]. We found that current strategies in these tools relied mostly on one parameter at a time and are about filtering alternatives. Based on these results, we propose three questions for further discussion and research.

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