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Related Experiment Video

Updated: Mar 17, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Computer-based tools for assessing micro-longitudinal patterns of cognitive function in older adults.

Laura J E Brown1, Tim Adlam2, Faustina Hwang3

  • 1School of Psychological Sciences and Manchester Centre for Health Psychology, The University of Manchester, Room S32, Second Floor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK. laura.brown@manchester.ac.uk.

Age (Dordrecht, Netherlands)
|July 31, 2016
PubMed
Summary

Researchers developed unsupervised cognitive tests for older adults to track cognitive changes over short periods. These reliable and valid home-based assessments overcome challenges of frequent in-person testing.

Keywords:
AssessmentCognitionHealthRepeated measuresValidation

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Area of Science:

  • Gerontology
  • Cognitive Neuroscience
  • Health Informatics

Background:

  • Micro-longitudinal cognitive changes (hours to days) impact health and function in aging.
  • High-frequency cognitive assessments are often impractical due to cost and participant burden.
  • Unsupervised, home-based cognitive tests offer a potential solution for frequent data collection.

Purpose of the Study:

  • To determine if reliable and valid cognitive data can be collected using unsupervised, computerized tests in older adults.
  • To assess the feasibility of micro-longitudinal cognitive monitoring outside controlled laboratory settings.
  • To validate novel touchscreen cognitive tasks against established cognitive assessments.

Main Methods:

  • Study 1: 48 older adults completed touchscreen cognitive tests in controlled conditions, alongside standard cognitive assessments.
  • Study 2: 40 older adults completed the same tasks unsupervised at home via the Novel Assessment of Nutrition and Ageing (NANA) system over week-long periods.
  • Both studies compared performance on novel tasks with established cognitive measures.

Main Results:

  • The unsupervised touchscreen cognitive tasks demonstrated convergent validity with standard cognitive tests.
  • Reliability of the novel tasks was comparable to traditional cognitive assessments.
  • High completion and accuracy rates were observed for the unsupervised tasks.

Conclusions:

  • Unsupervised computerized cognitive tests can yield reliable and valid data from older adults.
  • This approach facilitates micro-longitudinal cognitive research, overcoming practical limitations of traditional methods.
  • Home-based, unsupervised cognitive assessments open new avenues for studying cognitive aging.