  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.
