AVEID: Automatic Video System for Measuring Engagement In Dementia

AVEID: Automatic Video System for Measuring Engagement In Dementia


Viral Parekh, Pin Sym Foong, Shendong Zhao, Ramanathan Subramanian



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.

Author Keywords

Engagement; Video-based analytics; Dementia


Shen is an HCI professor at the National University of Singapore working on realizing his vision of HeadsUp Computing, a new Interaction paradigm that can transform the way we live and interact with computers. In his free time, Shen loves to read, run, spend time with family and friends, and explore nature.

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