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Nearing Old Age: Technological Aging
Abstract
Objective: The study aimed to determine the Awareness of age-related change (AARC) and attitudes of adults between the ages of 40-64 years towards artificial intelligence (AI).
Materials and Methods: It was conducted in a descriptive and correlational type. The study included 255 individuals aged 40-64 years, who were not bedridden and had no neuropsychiatric problems. The data for this study were collected using a personal information form, the AARC scale, and the General Attitudes Towards Artificial Intelligence Scale (GAAIS). Data were analyzed using the SPSS 25 software package. The Skewness-Kurtosis test was used to check the normality of distribution. Correlation analysis was performed for the connection between the scale total scores and sub-dimension scores.
Results: The majority (79.2%) of the participants thought positively about aging, 71.8% were afraid of the stigma of old age, 67.1% had positive attitudes towards AI, and 91.4% used AI tools. When the participants' scale scores were examined, it was determined that the average AARC Gains score was 19.55±3.31 (5-25), the average AARC Losses score was 13.71±3.89 (5-25), and the average GAAIS score was 62.74±15.60 (23-98). It was determined that the connection between the participants' AARC Gains and GAAIS (r=0.152) was positive and significant. It was also determined that there was no connection between AARC Losses and GAAIS (r<0.001).
Conclusions: It is recommended that the views of adults aged 40 years and over, who are nearing old age, be increased, their awareness be raised, and training be organized to improve their attitudes towards AI.
Keywords
Ethical Statement
A university's Ethics Committee granted permission to conduct research (Date: 15.03.2024, decision no: 2024/94). Research conforms to provisions of Declaration of Helsinki. Permission was obtained from scale owners via e-mail to use scales in research. Consents of volunteer adults who participated in study were obtained via an online consent form.
References
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Details
Primary Language
English
Subjects
Public Health Nursing
Journal Section
Research Article
Publication Date
September 15, 2025
Submission Date
April 25, 2025
Acceptance Date
August 10, 2025
Published in Issue
Year 2025 Volume: 10 Number: 3
