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Influencing Factors and Acceptance Levels of Robotic and Smart Home Health Technologies Among Older Adults: A Systematic Review Publisher Pubmed



Jaberi R ; Rostam Niakan Kalhori S ; Bahador F ; Heydarian S ; Javanmard Z
Authors

Source: Health Informatics Journal Published:2026


Abstract

Background: Smart home technologies and assistive robots play a role in enhancing the well-being of older adults. This study aims to evaluate the factors and acceptance level of these technologies among seniors and to explore the factors affecting their acceptance. Methods: Three databases were systematically searched using keywords to identify relevant articles. The retrieved studies were screened based on eligibility criteria. Key features of the studies and the acceptance status of the aforementioned technologies among seniors were documented in a data extraction form. Results: Twenty-seven studies met the eligibility criteria. Robots (74.1%), sensors (18.5%), wireless technologies (3.7%), and smart home voice assistants (3.7%) were utilized by seniors. Remote patient monitoring (33.3%) was the most prevalent application of these technologies. Approximately 89% of the studies reported positive attitudes toward these technologies. “Technology convenience” (22.2%) emerged as the most significant reason for smart technology acceptance. Conversely, “concerns about privacy and security” (14.8%) and “lack of need for technology” (14.8%) were the most frequently cited reasons for non-acceptance. Conclusions: To enhance the adoption of reviewed technologies, it is crucial to implement strategies that raise awareness, ensure data security, and address the actual needs of this demographic in both the design and implementation phases. © The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).