EEG-Based Engagement Monitoring in Cognitive Games.

ABSTRACT: Cognitive decline and dementia prevention are global priorities, with cognitive rehabilitation games showing potential to delay their onset or progression. However, these games require sufficient user engagement to be effective. Assessing the engagement through questionnaires is challenging for the individuals suffering from cognitive decline due to age or dementia. This study aims to explore the relationship between game difficulty levels, three EEG engagement indices (β/(θ + α), β/α, 1/α), and the self-reported flow state scale score during video gameplay, and to develop an accurate machine learning algorithm for the classification of user states into high- and low-engagement. Twenty-seven participants (nine older adults) played a stunt plane vid

SUBMITTER: Ahmed Y 

PROVIDER: S-EPMC11991241 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature