2022/04/08 by Nina Moorman, Moorman, Nina, Hedlund-Botti, Erin +1
Computer Science · Engineering · Psychology · #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Robotics (cs.RO) #Robotics and Automated Systems #Social Robot Interaction and HRI
paper · pdf · doi:10.48550/arxiv.2204.04260
openalex publication_date 2022/04/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.