Improving decision-making performance through argumentation: An argument-based decision support system to compute with evidence

An unexpected finding and one of the major contributions of this work is that individual unaided decision-making performance was not predictive of an individual's performance with Pendo, even though the average performance of assisted individuals was higher. We infer that the skills activated when using the tool are substantially different than those enacted to solve the same problem without that tool. We discuss the implications this result has for the design and application of ABSs to decision-making, and possibly other decision support technologies.