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This study aims to identify the factors influencing the artificial intelligence (AI) anxiety levels of long-term care students, who are expected to become formal caregivers in the future. To achieve this objective, interviews were conducted with 112 students enrolled in the Older care program at Düzce University Vocational School of Health Sciences. Data were collected using a personal information form, which included sociodemographic variables, and the AI Anxiety Scale. The findings indicate that participants’ levels of AI anxiety may be influenced by factors such as gender, income level, familiarity with AI in daily life, and trust in AI applications within the field of long-term care. Based on these results, the study suggests that reducing inequalities and addressing AI-related concerns among students in long-term care, gerontology, and geriatrics, as well as among care recipients and caregivers, is crucial for the effective integration of AI-based gerontechnology. The study further recommends discussing age-friendly AI solutions to facilitate the adoption of gerontechnology by future caregivers.
Mert Ersözlü (Thu,) studied this question.
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