Tenzin Wangmo, Yi Jiao Angelina Tian, Delphine Roulet Schwab, Andrea H Meyer
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引用次数: 0
Abstract
Background and objectives: Robotic technologies will likely be part of the caregiving needs for older adults in the future. In this study, we assessed the acceptance of several robotic functions among a representative sample of adults in Switzerland and tested (a) the acceptance of different robotic functions, and (b) explored how different sets of predictors explained variance in the acceptance of 2 robotic functions: (a) "robots for assistive support" and (b) "robots for companionship."
Research design and methods: A survey was administered to a randomly selected group of adults from the 3 official linguistic regions of Switzerland using computer-aided-telephone-interviews. Data obtained were weighted for the Swiss adult population and analyzed using descriptive statistics, multilevel modeling, and sequential regression analysis.
Results: A total of 1,211 adults responded to the survey. Acceptance was higher for using "robots for assistive support" than "robots for companionship," with no significant statistical difference between linguistic regions. Usefulness of robotic functions in reducing caregiving stress explained the most variance in our model for both outcome variables. External predictors such as the fear of robots and the fear that robots will replace human care explained the least amount of variance.
Discussion and implications: When robots are used in the care of older adults, user adoption is likely to be positive when the end-users (older persons and their caregivers) perceive that their use meaningfully reduces caregiving stress. More research is needed to further test the role of external factors for technology adoption, especially those that touch the notion of human contact.
期刊介绍：
Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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