Engagement in dementia is typically measured using behavior observational
scales (BOS) that are tedious and involve intensive manual labor to annotate,
and are therefore not easily scalable. We propose AVEID, a low cost and
easy-to-use video-based engagement measurement tool to determine the engagement
level of a person with dementia (PwD) during digital interaction. We show that
the objective behavioral measures computed via AVEID correlate well with
subjective expert impressions for the popular MPES and OME BOS, confirming its
viability and effectiveness. Moreover, AVEID measures can be obtained for a
variety of engagement designs, thereby facilitating large-scale studies with
PwD populations
