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Cognitive Development During Adulthood

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...

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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

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Age-Associated Capacity to Progress When Playing Cognitive Mobile Games: Ecological Retrospective Observational

Bruno Bonnechère^1,2, Jean-Christophe Bier³, Olivier Van Hove⁴

¹Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium.

JMIR Serious Games

|June 13, 2020

Summary

Cognitive mobile games show age-related differences in learning ability, with older adults improving more slowly. However, all users, regardless of age, demonstrate performance gains, suggesting these games can monitor cognitive function.

Keywords:

aging brain training cognitive monitoring cognitive performance mobile games serious games

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Area of Science:

Gerontology
Cognitive Science
Human-Computer Interaction

Background:

Cognitive decline is a significant concern associated with aging.
Mobile applications for cognitive training are increasingly common.
The impact of age on learning within cognitive mobile games remains underexplored.

Purpose of the Study:

To investigate age-related differences in learning ability using cognitive mobile games.
To analyze score progression over 100 gaming sessions across various age groups.
To determine if cognitive mobile games can serve as a tool for monitoring cognitive function.

Main Methods:

Analysis of scores from 9000 participants across 7 cognitive mobile games over 100 sessions.
Comparison of initial scores between age groups using one-way ANOVA.
Utilizing mixed models to examine score progression over time.

Main Results:

Significant age-related differences in initial game scores were observed for 6 out of 7 games.
All participants showed score improvement (P<.001), indicating learning occurred.
The rate of improvement was significantly slower in older participants (P<.001).

Conclusions:

Cognitive mobile game performance reflects age-related cognitive changes.
These games offer a potential method for long-term cognitive function monitoring.
All age groups benefit from cognitive mobile game training, showing performance improvements.