  Socially Assistive Robots (SARs) are becoming very popular every day because
of their effectiveness in handling social situations. However, social robots
are perceived as intelligent, and thus their decision-making process might have
a significant effect on how they are perceived and how effective they are. In
this paper, we present the findings from a participatory design study
consisting of 5 design workshops with 30 participants, focusing on several
decision-making scenarios of SARs in the wild. Through the findings of the PD
study, we have discussed 5 directions that could aid the design of
decision-making systems of SARs in the wild.
