Machine Learning Analysis of Engagement Behaviors in Older Adults With Dementia Playing Mobile Games: Exploratory Study.

ABSTRACT:

Background

The prevalence of dementia is expected to rise with an aging population, necessitating accessible early detection methods. Serious games have emerged as potential cognitive screening tools. They provide not only an engaging platform for assessing cognitive function but also serve as valuable indicators of cognitive health through engagement levels observed during play.

Objective

This study aims to examine the differences in engagement-related behaviors between older adults with and without dementia during serious gaming sessions. Further, it seeks to identify the key contributors that enhance the effectiveness of machine learning for dementia classification based on engagement-related behaviors.

Methods

This was an exploratory proof-of-concept study. Over 8

SUBMITTER: Torabgar M 

PROVIDER: S-EPMC11892541 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature