It is intractable for assistive robots to have all functionalities pre-programmed prior to deployment. Rather, it is more realistic for robots to perform supplemental, on-site learning about user's needs and preferences, and particularities of the environment. This additional learning is especially helpful for care robots that assist with individualized caregiver activities in residential or assisted living facilities. As each care receiver has unique needs and those needs may change over time, robots require the ability to adapt and learn on-site. In this work, we propose the study design to investigate the impacts on end-users of observing robot learning. We will assess user attitudes towards robots that conduct some learning in the home as compared to a baseline condition where the robot is delivered fully capable. We will additionally compare different modes of learning to determine whether some are more likely to instill trust.

翻译：辅助性机器人很难在部署之前预先设定所有功能。 相反,对于机器人来说,进行关于用户需要和偏好以及环境特点的补充性现场学习更为现实。这种额外的学习对护理性机器人特别有用,有助于在住宅或辅助生活设施中开展个性化护理者活动。由于每个护理接收者都有独特的需要,这些需要可能会随时间而变化,机器人需要适应和在现场学习的能力。在这项工作中,我们提议研究设计,以调查观察机器人学习对最终用户的影响。我们将评估用户对在家里进行某些学习的机器人的态度,与机器人完全有能力交付的基线条件相比较。我们将进一步比较不同的学习模式,以确定一些人是否更可能保持信任。