Valencia-Arias Alejandro, Cardona-Acevedo Sebastian, Gómez-Molina Sergio, Gonzalez-Ruiz Juan David, Valencia Jackeline
School of Industrial Engineering, Universidad Señor de Sipán, Chiclayo, Perú.
Institución Universitaria Escolme, Centro de investigaciones, Medellín, Colombia.
PLoS One. 2023 Oct 20;18(10):e0292558. doi: 10.1371/journal.pone.0292558. eCollection 2023.
Smart homes represent the complement of various automation technologies that together make up a network of devices facilitating the daily tasks of residents. These technologies are being studied for their application from different sectors, including the projection of their use to improve energy consumption planning and health care management. However, technology adoption depends on social awareness within the scope of cognitive advantages and innovations compared to perceived risk because although there are multiple benefits, potential users express fears related to the loss of autonomy and security. This study carries out a systematic literature review based on PRISMA in order to analyze research trends and literary evolution in the technological adoption of smart homes, considering the main theories and variables applied by the community. In proposing a research agenda in accordance with the identified gaps and the growing and emerging themes of the object of study, it is worth highlighting the growing interest in the subject, both for the present and its development in the future. Until now, adoption factors have been attributed more to the technological acceptance model and the diffusion of innovation theory, adopting components of the Theory of Planned Behavior; therefore, in several cases, the attributes of different theories are merged to adapt to the needs of each researcher, promoting the creation of empirical and extended models.
智能家居是各种自动化技术的结合，这些技术共同构成了一个设备网络，方便居民的日常任务。人们正在研究这些技术在不同领域的应用，包括预测其用于改善能源消耗规划和医疗保健管理。然而，与感知到的风险相比，技术采用取决于认知优势和创新范围内的社会意识，因为尽管有多种好处，但潜在用户表达了对失去自主性和安全性的担忧。本研究基于PRISMA进行了系统的文献综述，以分析智能家居技术采用方面的研究趋势和文献演变，考虑该领域应用的主要理论和变量。在根据已识别的差距以及研究对象中不断增长和新出现的主题提出研究议程时，值得强调的是，无论是现在还是未来的发展，人们对该主题的兴趣都在不断增加。到目前为止，采用因素更多地归因于技术接受模型和创新扩散理论，并采用了计划行为理论的组成部分；因此，在几种情况下，不同理论的属性被合并以适应每个研究者的需求，促进了实证模型和扩展模型的创建。
