In the context of integrating artificial intelligence (AI) into elderly care institutions, this article explores the importance of participatory research and the acceptance of technological innovations. It focuses on the development and implementation of technologies tailored for non-technical areas, particularly nursing homes. Through collaborative workshops involving the nursing staff, the research aims to identify and address specific needs in the caregiving environment. The article emphasizes the significance of building trust and understanding among all involved parties (care workers, residents, developers). Furthermore, the research outlines a methodological approach that prioritizes human-centered design principles and iterative feedback loops. By engaging end-users throughout the development process, the study aims to ensure that AI technologies meet the practical needs of care workers. It illustrates how the digitization of work processes forms the foundation for AI integration in caregiving settings. The research acknowledges the importance of considering the readiness of institutions and the practical limitations of current infrastructures and advocates for a balanced approach to AI integration, prioritizing the digitization of work processes before implementing AI-controlled systems. By aligning technological advancements with the real-world needs and capabilities of care facilities, the research seeks to promote acceptance and meaningful adoption of AI in elderly care institutions.

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AI Integration Acceptance in Elderly Care Institutions: A Step Toward a Smarter Life

  • Andrea Sell,
  • Cecilia Colloseus

摘要

In the context of integrating artificial intelligence (AI) into elderly care institutions, this article explores the importance of participatory research and the acceptance of technological innovations. It focuses on the development and implementation of technologies tailored for non-technical areas, particularly nursing homes. Through collaborative workshops involving the nursing staff, the research aims to identify and address specific needs in the caregiving environment. The article emphasizes the significance of building trust and understanding among all involved parties (care workers, residents, developers). Furthermore, the research outlines a methodological approach that prioritizes human-centered design principles and iterative feedback loops. By engaging end-users throughout the development process, the study aims to ensure that AI technologies meet the practical needs of care workers. It illustrates how the digitization of work processes forms the foundation for AI integration in caregiving settings. The research acknowledges the importance of considering the readiness of institutions and the practical limitations of current infrastructures and advocates for a balanced approach to AI integration, prioritizing the digitization of work processes before implementing AI-controlled systems. By aligning technological advancements with the real-world needs and capabilities of care facilities, the research seeks to promote acceptance and meaningful adoption of AI in elderly care institutions.