  Decision support systems seek to enable informed decision-making. In the
recent years, automated planning techniques have been leveraged to empower such
systems to better aid the human-in-the-loop. The central idea for such decision
support systems is to augment the capabilities of the human-in-the-loop with
automated planning techniques and enhance the quality of decision-making. In
addition to providing planning support, effective decision support systems must
be able to provide intuitive explanations based on specific user queries for
proposed decisions to its end users. Using this as motivation, we present our
decision support system RADAR-X that showcases the ability to engage the user
in an interactive explanatory dialogue by first enabling them to specify an
alternative to a proposed decision (which we refer to as foils), and then
providing contrastive explanations to these user-specified foils which helps
the user understand why a specific plan was chosen over the alternative (or
foil). Furthermore, the system uses this dialogue to elicit the user's latent
preferences and provides revised plan suggestions through three different
interaction strategies.
