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

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Computer acceptance of older adults.

Sibylle Nägle¹, Ludger Schmidt

¹Human-Machine Systems Engineering, University of Kassel, Mönchebergstraβe 7, 34125 Kassel, Germany. S.Naegle@uni-kassel.de

Work (Reading, Mass.)

|February 10, 2012

Summary

This summary is machine-generated.

Older adults, particularly women, use computers less. Performance expectancy and facilitating conditions strongly influence computer use intention and adoption in seniors, while effort expectancy does not.

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Area of Science:

Gerontology
Human-Computer Interaction
Sociology of Technology

Background:

Modern societies heavily rely on computers, yet older adults exhibit lower adoption and usage rates compared to younger demographics.
Older women, specifically, demonstrate reduced computer engagement, necessitating research into underlying factors.
Understanding technology adoption barriers and enablers for the aging population is crucial for digital inclusion.

Purpose of the Study:

To investigate the factors influencing computer adoption and usage intention among older adults.
To apply the Unified Theory of Acceptance and Usage of Technology (UTAUT) model to the elderly demographic.
To identify key determinants of computer use in individuals aged 50 and above.

Main Methods:

Utilized the Unified Theory of Acceptance and Usage of Technology (UTAUT) framework.
Conducted a study with 52 participants aged 50-90, including both computer users and non-users.
Examined constructs: performance expectancy, effort expectancy, social influences, facilitating conditions, gender, age, experience, and voluntariness.

Main Results:

Performance expectancy and facilitating conditions demonstrated the strongest positive correlations with computer use intention and actual usage.
Effort expectancy did not show a significant correlation with older adults' intention to use computers.
Gender, age, experience, and voluntariness were also considered within the UTAUT model.

Conclusions:

Facilitating conditions and perceived usefulness (performance expectancy) are critical drivers for computer adoption among older adults.
Effort expectancy is not a significant barrier for this demographic.
Interventions aimed at increasing computer use in older populations should focus on enhancing perceived benefits and ensuring accessible technological support.