A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

Abstract

This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.

Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction

“…Step 5: Network and Content Analyses of Selected Articles The thematic analysis technique was used for synthesizing and comparing the qualitative data. This method is known as an effective way of identifying important recurring themes and useful for structuring the data within each theme [31,40,41]. Figure 2 illustrates the systematic literature review (SLR) steps, objectives, and methods in this research.…”

Research on Cross-Session and Cross-Device Search: A Systematic Literature Review

“…A narrative approach was adopted to investigate this research domain. A similar methodology was used in a study on systems developed and technologies used for smart homes by Sepasgozar et al [20], in which they i) reviewed relevant papers published between 2010 and 2019, within databases such as Scopus, ii) analysed the papers in terms of bibliography and content to identify more related systems, practices, and contributors, iii) used a systematic review method to identify and select the relevant papers and iv) reviewed the content of the relevant papers by means of coding.…”

Artificial intelligent system for multimedia services in smart home environments

“…Studies [28][29][30][31][32] related to the application of AI in the field of Smart Home can also be cited. Sodhro et al [28] state that the convergence of IoT and AI promotes energyefficient communication in smart homes.…”

“…They point out the existence of a delay between the literature and the products. Sepasgozar et al [30] reviewed the applications of the IoT in homes, to make them intelligent, automated and digitized in many of its aspects. They have studied the literature on the use of IoT, AI and geographic information systems (GIS) in smart homes.…”