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Related Experiment Video

Updated: Jul 5, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Cognitive abilities that predict success in a computer-based training program.

Raymond L Ownby¹, Sara J Czaja, David Loewenstein

¹University of Miami Memory Disorders Clinic, 1400 NW 10 Ave. Suite 702, Miami, FL 33136, USA. rownby@med.miami.edu

The Gerontologist

|May 17, 2008

Summary

Cognitive abilities like memory and crystallized intelligence predict success in computer-based job training. A brief assessment battery shows promise for evaluating older adults for these roles, though effectiveness varies by task.

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Last Updated: Jul 5, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

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Published on: February 13, 2020

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

Area of Science:

Cognitive Psychology
Human Factors Engineering
Gerontology

Background:

The changing workforce necessitates understanding cognitive factors for job success.
Computer-based tasks are increasingly prevalent across various industries.
Assessing older adults for new job roles requires tailored evaluation methods.

Purpose of the Study:

Identify cognitive abilities predicting success in simulated computer-based jobs.
Develop a brief assessment battery for older adults' job readiness.
Explore age-related differences in cognitive predictors for job training.

Main Methods:

Administered a cognitive test battery to young, middle-aged, and older adults.
Participants trained on and performed simulated computer-based job tasks.
Used logistic regression to identify predictors of training completion and task performance.

Main Results:

Domain knowledge, crystallized intelligence, memory, and psychomotor speed predicted success.
A brief battery predicted training success for one task but not another in older adults.
Cognitive predictors varied based on the specific task and participant age group.

Conclusions:

A concise cognitive assessment battery can aid in job selection.
Cognitive requirements for job success differ across tasks and age groups.
Findings inform the design of computer-based tasks and interfaces for older workers.