AVEID: Automatic Video System for Measuring Engagement In Dementia

TL;DR

AVEID is a novel, low-cost video-based tool that automatically measures engagement in dementia patients, correlating well with expert assessments and enabling scalable research in digital interaction contexts.

Contribution

This paper introduces AVEID, a new automated system for measuring engagement in dementia patients using video analysis, improving scalability and reducing manual effort.

Findings

AVEID correlates well with expert impressions on BOS scales.

It enables large-scale engagement studies in dementia research.

The system is low-cost and easy to use.

Abstract

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.