Developing Computational Models of Social Assistance to Guide Socially Assistive Robots
September 14, 2019 Β· Declared Dead Β· π arXiv.org
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Authors
Jason R. Wilson, Seongsik Kim, Ulyana Kurylo, Joseph Cummings, Eshan Tarneja
arXiv ID
1909.06510
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.RO
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
While there are many examples in which robots provide social assistance, a lack of theory on how the robots should decide how to assist impedes progress in realizing these technologies. To address this deficiency, we propose a pair of computational models to guide a robot as it provides social assistance. The model of social autonomy helps a robot select an appropriate assistance that will help with the task at hand while also maintaining the autonomy of the person being assisted. The model of social alliance describes how a to determine whether the robot and the person being assisted are cooperatively working towards the same goal. Each of these models are rooted in social reasoning between people, and we describe here our ongoing work to adapt this social reasoning to human-robot interactions.
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