智能家居技术接受度的系统文献综述

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
N. Daruwala, U. Oberst
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引用次数: 0

摘要

被归类为智能家居技术(SHT)的自动化家用电器的研究在过去十年中呈指数级增长,并采取了各种形式,从定性描述性调查到基于经验的分析。鉴于围绕SHT接受文献的未解决的不确定性,以及对相对较低的智能家居设备摄取的担忧,有必要重新评估现有文献,以更深入地研究和寻找解决方案。基于PRISMA的研究方法,系统回顾了有关SHT接受度的文献,对其不同模型进行了评价,并建立了假设模型。结果表明,技术接受度模型是研究SHT接受度最常用的模型。此外,用于衡量SHT接受度的最重要变量是兼容性和感知有用性。系统的文献综述还揭示了一些重要的模式,包括吸收非西方研究和使用销售和市场份额作为SHT接受度的度量。研究人员,智能家居开发商和政府机构如何利用这些发现的未来方向总结了系统综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic literature review of Smart Home Technology acceptance
Research on automated domestic appliances, categorized as Smart Home Technology (SHT), has increased exponentially over the last decade and has taken various guises, from qualitative descriptive investigation to empirically based analysis. Given the unresolved uncertainties surrounding the SHT acceptance literature and concern regarding the relatively low smart home device uptake, there is a need to reappraise the existing literature to delve deeper and search for solutions. Based on the research method PRISMA, a systematic literature review on SHT acceptance was undertaken to evaluate its different models and develop a hypothetical model. Twenty-three papers were selected in the review, and the results indicate that the Technological Acceptance Model was the most applied model when investigating SHT acceptance. Moreover, the most significant variables used to measure SHT acceptance were compatibility and perceived usefulness. The systematic literature review also revealed some significant patterns including the uptake of non-Western research and the use of sales and market share as a metric of SHT acceptance. Future directions on how researchers, smart home developers and governmental agencies can utilize the findings conclude the systematic review.
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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