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  3. Embedded Assessment Algorithms Within Home-based Cognitive Computer Game Exercises For Elders.
  1. Home
  3. Embedded Assessment Algorithms Within Home-based Cognitive Computer Game Exercises For Elders.

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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Embedded assessment algorithms within home-based cognitive computer game exercises for elders.

Holly Jimison1, Misha Pavel

  • 1Oregon Health & Science University, USA. jimisonh@ohsu.edu

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 14, 2008

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a new method for using computer games to assess cognitive performance. These dynamic cognitive assessments adapt game difficulty and provide personalized help, especially for elders.

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Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Gerontology

Background:

  • Growing consumer interest in computer-based cognitive enhancement.
  • Need for validated scientific assessment algorithms for cognitive exercises.
  • Limited real-time assessment tools for computer-based cognitive training.

Purpose of the Study:

  • To present a novel methodology for integrating dynamic cognitive assessment algorithms into computer games.
  • To demonstrate the application of this approach across various computer applications.
  • To evaluate cognitive monitoring results from a specific computer game exercise.

Main Methods:

  • Development of dynamic cognitive assessment algorithms.
  • Integration of algorithms within computer game environments.
  • Real-time cognitive monitoring and data analysis.
  • Implementation of adaptive difficulty control and tailored assistance.

    • Main Results:

    • Successful incorporation of dynamic cognitive assessment within a computer game.
    • Demonstration of cognitive monitoring capabilities.
    • Validation of adaptive difficulty adjustment based on cognitive performance.
    • Evidence of tailored help provision for users with varying abilities.

    Conclusions:

    • The proposed methodology effectively integrates dynamic cognitive assessment into computer games.
    • This approach offers a scientifically validated method for evaluating cognitive enhancement.
    • The system provides adaptive challenges and personalized support, particularly beneficial for elder users.
    • This technology has potential applications in various computer-based cognitive training programs.