论文标题
迈向人们在家中接受的认知机器人
Towards Cognitive Robots That People Accept in Their Home
论文作者
论文摘要
辅助机器人在部署之前对所有功能进行了预编程是很棘手的。相反，机器人对用户的需求和偏好以及环境的特殊性进行补充的现场学习是更现实的。这种额外的学习对于有助于在住宅或辅助生活设施中的个性化护理人员活动的护理机器人特别有用。由于每个护理接收器都有独特的需求，并且这些需求可能会随着时间的流逝而改变，因此机器人需要适应和学习现场的能力。在这项工作中，我们提出了研究设计，以研究观察机器人学习的最终用户的影响。与机器人完全有能力的基线条件相比，我们将评估用户对机器人进行一些学习的机器人的态度。我们还将比较不同的学习模式，以确定某些人是否更有可能灌输信任。
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.
