Kayande, Ujwal; De Bruyn, Arnaud; Lilien, Gary; Rangaswamy, Arvind; van Bruggen, Gerrit
Model-based decision support systems (DSS) improve performance in many contexts that are data-rich, uncertain, and require repetitive decisions. But such DSS are often not designed to help users understand and internalize the underlying factors driving DSS recommendations. Users then feel uncertain about DSS recommendations, leading them to possibly avoid using the system. We argue that a DSS must be designed to induce an alignment of a decision maker's mental model with the decision model...[Show more]
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