User assistance systems can help practitioners making decision for logistical problems, for example those arising in healthcare. Optimisation approaches included in such a system to determine an (optimal) solution often need to address more than one and often conflicting objectives leading to a number of alternative solutions of similar quality. The study proposed in this paper investigates how many alternative solutions should be proposed to a decision maker, which characteristics they should have, and which level of detail the presentation of solutions should have in order to enable the user in making the best decisions for the individual problem.
Manzi, Sean and Reuter-Oppermann, Melanie, "Assessing information requirements for complex decision making in healthcare" (2018). Research-in-Progress Papers. 47.