Socially Assistive Robots as Decision Makers in the Wild: Insights from a Participatory Design Workshop

Eshtiak Ahmed, Laura Cosio, Juho Hamari, Oğuz 'Oz' Buruk

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.

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