Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data.

IF 2.5 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Informatics for Health & Social Care Pub Date : 2023-01-02 DOI:10.1080/17538157.2022.2069028
Golam Sorwar, Christina Aggar, Olivia Penman, Carolyn Seton, Anastasia Ward
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引用次数: 4

Abstract

Smart Home Technology presents an exciting opportunity to support seniors living independently in their homes. Despite widespread interest in Smart Homes, seniors' readiness to adopt Smart Home Technology is low. To determine the factors underpinning Australian seniors' acceptance and adoption of Smart Home Technology using an extended UTAUT model that includes Trust, Resistance to Change and Technology Anxiety. A longitudinal study was conducted to validate the proposed model prior to and after the implementation of a pilot Smart Home Modification program for seniors. Structural Equation Modeling has been applied to test the proposed hypotheses using a sample of 60 seniors in regional Australia. Perceived Usefulness is an important predictor of Smart Home Technology adoption by seniors. Trust was found to indirectly predict adoption of Smart Home Technology via Perceived Usefulness. This study showed that Perceived Usefulness and Trust are critical factors for the acceptance and use of SHT by seniors, validating the extension of UTAUT with a Trust factor. This makes a unique theoretical contribution to the literature with implications for aged care providers and policymakers to consider seniors' perceived usefulness and trust in the design, development, and implementation of Smart Home solutions.

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预测澳大利亚老年人接受和采用智能家居技术的因素:一个纵向数据的结构方程模型。
智能家居技术为老年人在家中独立生活提供了一个令人兴奋的机会。尽管人们对智能家居有着广泛的兴趣,但老年人采用智能家居技术的意愿很低。使用扩展的UTAUT模型(包括信任、对变化的抵制和技术焦虑)确定支持澳大利亚老年人接受和采用智能家居技术的因素。在实施老年人智能家居改造试点项目之前和之后,进行了一项纵向研究,以验证所提出的模型。结构方程模型已被应用于测试提出的假设使用60老年人在澳大利亚地区的样本。感知有用性是老年人采用智能家居技术的重要预测因素。信任通过感知有用性间接预测智能家居技术的采用。本研究表明,感知有用性和信任是老年人接受和使用SHT的关键因素,验证了信任因素对UTAUT的扩展。这对文献做出了独特的理论贡献,对老年护理提供者和政策制定者在设计、开发和实施智能家居解决方案时考虑老年人的感知有用性和信任具有启示意义。
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来源期刊
CiteScore
6.10
自引率
4.20%
发文量
21
审稿时长
>12 weeks
期刊介绍: Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus. The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems. Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects. Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome. Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.
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