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Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

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Published on: December 16, 2010

A framework for cognitive monitoring using computer game interactions.

Holly B Jimison¹, Misha Pavel, Payton Bissell

¹Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon 97239, USA. jimisonh@ohsu.edu

Studies in Health Technology and Informatics

|October 4, 2007

Summary

This study introduces adaptive computer games for early cognitive decline detection in older adults. These games monitor cognitive performance at home, enabling timely clinical intervention for better health outcomes.

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Area of Science:

Gerontology
Cognitive Science
Human-Computer Interaction

Background:

Aging populations present significant economic and social challenges, particularly concerning cognitive decline.
Early detection of cognitive impairment is crucial for effective clinical intervention but current assessments are limited.
Standard cognitive assessments lack sensitivity and are infrequently administered, hindering timely diagnosis.

Purpose of the Study:

To develop and describe a novel system for monitoring cognitive performance in older adults within a home environment.
To enable early detection of cognitive decline through continuous, unobtrusive assessment.
To adapt user interfaces in real-time based on cognitive state.

Main Methods:

Development of adaptive computer games with embedded cognitive assessment algorithms.
Utilizing natural computer interactions for data collection in a home setting.
Implementing algorithms to detect within-subject trends in cognitive performance over time.

Main Results:

The system provides a method for early detection of cognitive decline by monitoring cognitive metrics.
Real-time cognitive state information allows for adaptive user interface adjustments.
The software architecture and methodology for home-based cognitive monitoring are detailed.

Conclusions:

Adaptive computer games offer a promising approach for sensitive and frequent cognitive monitoring.
Home-based monitoring facilitates early detection of cognitive decline in the elderly.
Personalized, adaptive interfaces can enhance user engagement and data collection.