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Decision makers often do not easily understand the decision space, i.e. the available alternatives and relations among their attributes. Misunderstanding the relations between attributes might lead to a bad decision. Recent research in decision analysis has addressed this problem and proposed to support decision makers with visual information about the decision space. However, the question of which visualization method and format supports decision makers best is largely unanswered. We focus ondblp:conf/icis/FranzSH15 fatcat:ct3fv73wprbovfevpmodlrik2u