  The role of robots is expanding from tool to collaborator. Socially assistive
robots (SARs) are an example of collaborative robots that assist humans in the
real world. As robots enter our social sphere, unforeseen risks occur during
human-robot interaction (HRI), as everyday human space is full of
uncertainties. Risk introduces an element of trust, so understanding human
trust in the robot is imperative to initiate and maintain interactions with
robots over time. While many scholars have investigated the issue of
human-robot trust, a significant portion of that discussion is rooted in the
human-automation interaction literature. As robots are no longer mere
instruments, but social agents that co-exist with humans, we need a new lens to
investigate the longitudinal dynamic nature of trust in HRI. In this position
paper, we contend that focusing on the dynamic nature of trust as a new inquiry
will help us better design trustworthy robots.
