  The intersection of data visualization and human-robot interaction (HRI) is a
burgeoning field. Understanding, communicating, and processing different kinds
of data for creating versatile visualizations can benefit HRI. Conversely,
expressing different kinds of data generated from HRI through effective
visualizations can provide interesting insights. Our work adds to the
literature of this growing domain. In this paper, we present our exploratory
work on visualizing mental health data on a social robot. Particularly, we
discuss development of mental health data visualizations using a participatory
design (PD) approach. As a first step with mental health data visualization on
a social robot, this work paves the way for relevant further work and using
social robots as data visualization tools.
