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While there are many examples in which robots provide social assistance, alack of theory on how the robots should decide how to assist impedes progressin realizing these technologies. To address this deficiency, we propose a pairof computational models to guide a robot as it provides social assistance. Themodel of social autonomy helps a robot select an appropriate assistance thatwill help with the task at hand while also maintaining the autonomy of theperson being assisted. The model of social alliance describes how a todetermine whether the robot and the person being assisted are cooperativelyworking towards the same goal. Each of these models are rooted in socialreasoning between people, and we describe here our ongoing work to adapt thissocial reasoning to human-robot interactions.

Developing Computational Models of Social Assistance to Guide Socially Assistive Robots