The Impact of Artificial Intelligence on the Quality of Life of the Elderly: New Opportunities for Future Generations — A Mixed Methods Study

BACKGROUND The aim of this study was to explore the main directions of artificial intelligence (AI) implementation among older adults, assess its impact on social and emotional interaction, and identify key challenges and prospects for integrating these technologies into elderly care. MATERIALS AND METHODS The research methodology involved an empirical approach using both quantitative and qualitative data collection methods. The sample consisted of 300 elderly individuals and 50 staff members from selected institutions, chosen according to clearly defined inclusion and exclusion criteria. Data were gathered through structured online questionnaires and naturalistic observations. The analysis included descriptive statistics, and content analysis of open-ended responses. This article examines the integration of AI technologies among older adults from 2018 to 2025. RESULTS It has been demonstrated that the use of AI significantly improves the quality of life for older people. Portable health monitoring devices allowed effective tracking of physical indicators – self-reported improvement in fall monitoring accuracy reached 87%, while dedicated fall detection systems achieved 92% device-logged accuracy. This contributed to reducing disease risks and ensured timely medical intervention, leading to a 32% decrease in hospital admissions. It was found that security systems reduced injury incidents, while AI companions and virtual reality (VR) technologies supported socialisation: 40% of AI companion users reported reduced loneliness, and 35% experienced increased social engagement. VR also showed a positive effect—45% of respondents reported enhanced social activity. AI-based cognitive trainers improved memory and cognitive functions: 22% of AI companion users and 19% of VR users noted improvements in cognitive performance. Remote monitoring via telemedicine made medical supervision more accessible, particularly for individuals with limited mobility, with 70% of professionals recognising this as an improvement in care quality. CONCLUSION Nevertheless, despite numerous advantages, ethical concerns remain significant challenges: 68% of elderly respondents expressed concern about data privacy, 52% feared the replacement of human caregivers, and 47% reported difficulties in mastering the technology.

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Journal
Premier journal of science.
Published
2025-10-28
DOI
https://doi.org/10.70389/pjs.100152
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

The Impact of Artificial Intelligence on the Quality of Life of the Elderly: New Opportunities for Future Generations — A Mixed Methods Study

Durdana Abdullayeva
Premier journal of science.
Artificial Intelligence in Healthcare and Education
article

The Impact of Artificial Intelligence on the Quality of Life of the Elderly: New Opportunities for Future Generations — A Mixed Methods Study

Durdana Abdullayeva
article en

Abstract

BACKGROUND The aim of this study was to explore the main directions of artificial intelligence (AI) implementation among older adults, assess its impact on social and emotional interaction, and identify key challenges and prospects for integrating these technologies into elderly care. MATERIALS AND METHODS The research methodology involved an empirical approach using both quantitative and qualitative data collection methods. The sample consisted of 300 elderly individuals and 50 staff members from selected institutions, chosen according to clearly defined inclusion and exclusion criteria. Data were gathered through structured online questionnaires and naturalistic observations. The analysis included descriptive statistics, and content analysis of open-ended responses. This article examines the integration of AI technologies among older adults from 2018 to 2025. RESULTS It has been demonstrated that the use of AI significantly improves the quality of life for older people. Portable health monitoring devices allowed effective tracking of physical indicators – self-reported improvement in fall monitoring accuracy reached 87%, while dedicated fall detection systems achieved 92% device-logged accuracy. This contributed to reducing disease risks and ensured timely medical intervention, leading to a 32% decrease in hospital admissions. It was found that security systems reduced injury incidents, while AI companions and virtual reality (VR) technologies supported socialisation: 40% of AI companion users reported reduced loneliness, and 35% experienced increased social engagement. VR also showed a positive effect—45% of respondents reported enhanced social activity. AI-based cognitive trainers improved memory and cognitive functions: 22% of AI companion users and 19% of VR users noted improvements in cognitive performance. Remote monitoring via telemedicine made medical supervision more accessible, particularly for individuals with limited mobility, with 70% of professionals recognising this as an improvement in care quality. CONCLUSION Nevertheless, despite numerous advantages, ethical concerns remain significant challenges: 68% of elderly respondents expressed concern about data privacy, 52% feared the replacement of human caregivers, and 47% reported difficulties in mastering the technology.

Premier journal of science.
Azerbaijan Technical University (AZ)
European Commission
Openalex Percentile: Top 76%
Artificial Intelligence in Healthcare and Education
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