  Socially Assistive Robots (SARs) are robots that are designed to replicate
the role of a caregiver, coach, or teacher, providing emotional, cognitive, and
social cues to support a specific group. SARs are becoming increasingly
prevalent, especially in elderly care. Effective communication, both explicit
and implicit, is a critical aspect of human-robot interaction involving SARs.
Intent communication is necessary for SARs to engage in effective communication
with humans. Biometrics can provide crucial information about a person's
identity or emotions. By linking these biometric signals to the communication
of intent, SARs can gain a profound understanding of their users and tailor
their interactions accordingly. The development of reliable and robust
biometric sensing and analysis systems is critical to the success of SARs. In
this work, we focus on four different aspects to evaluate the communication of
intent involving SARs, existing works, and our outlook on future works and
applications.
