This work aims to validate the Robotic Social Attributes Scale (RoSAS) for human-robot interaction. The RoSAS evaluates the social perception of robots. It measures an inventory of 18 items that are collected into three robot attributes: competence, warmth, and discomfort. We apply RoSAS to a human-to-robot handover and confirm the internal consistency and unidimensionality of each attribute. This validates the scale in this use case and suggests a more general applicability to other physical human-robot interactions including collaborative manipulation or turn-taking tasks.
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