评估智能家居的智能能力:一种概念建模方法

IF 2.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Data & Knowledge Engineering Pub Date : 2023-08-28 DOI:10.1016/j.datak.2023.102218
Di Wu , Weite Feng , Tong Li , Zhen Yang
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引用次数: 0

摘要

随着物联网技术的快速发展,智能家居逐渐成为人们生活中不可或缺的一部分,近年来智能家居的市场份额大幅飙升。因此,生产商和最终用户都越来越需要评估智能家居的智能性。虽然现有的研究侧重于模拟智能家居环境,但它们并没有提供一种自动评估智能家居智能的方法。在这项研究中,我们基于广泛的智能家居定义,系统地建立了一个智能家居的概念模型,重点考察了有助于用户对其智能家居感到满意的因素。此外,我们还提出了一个评估智能家居智能能力的框架。为了验证我们框架的有效性,我们使用在线用户调查进行了一项实证研究,并收集了300份关于三套智能家居套房用户评级的问卷。我们的实证结果表明,我们的框架与用户对智能家居智能水平的认知一致。为了进一步探索用户为什么对自己的智能家居感到满意,我们举办了一个有五名参与者的研讨会。我们的讨论结果表明,用户对智能家居感到满意的原因与智能家居能够满足的用户需求之间存在相关性。
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Evaluating the intelligence capability of smart homes: A conceptual modeling approach

With the rapid development of Internet of Things technology, smart homes have gradually become an integral part of people’s lives, and the market share of smart homes has experienced a significant surge in recent years. As a result, there is a growing need for both producers and end-users to evaluate the intelligence of smart homes. While existing studies focus on simulating smart home environments, they do not provide an approach for automatically evaluating the intelligence of smart homes. In this study, we systematically establish a conceptual model of smart homes based on a wide range of smart home definitions, focusing on examining the factors that contribute to users feeling satisfied with their smart homes. Additionally, we proposed a framework for evaluating the intelligence capability of smart homes. To validate the effectiveness of our framework, we conducted an empirical study using an online user survey and collected 300 questionnaires about user ratings of three smart home suites. Our empirical results demonstrate that our framework is consistent with users’ perceptions of the intelligence level of smart homes. In order to further explore why users feel satisfied with their smart homes, we held a workshop with five participants. The results of our discussion showed a correlation between why users feel satisfied with their smart homes and the user needs that smart homes can fulfill.

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来源期刊
Data & Knowledge Engineering
Data & Knowledge Engineering 工程技术-计算机:人工智能
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 months
期刊介绍: Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
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