Analysis of Smart Home Systems in the Context of the Internet of Things in Terms of Consumer Experience

Abstract

Smart homes, which are an important component of the Internet of Things (IoT) provides an effective service for users by communicating with various digital devices based on IoT. IoT-based smart home technology has transformed the lives of humans by providing everyone with a connection independently from time and space. However, due to various challenges such as privacy, security, and price, problems are experienced by consumers in terms of accepting smart home technologies. In the study, it was aimed to develop a model for accepting smart home technologies, and based on the results obtained, it was attempted to determine what factors affect the consumers' intention to buy smart home systems. In this context, with the help of Technology Acceptance Model (TAM), a research model was designed for the purchaser of a home as a product. In the research model, it was investigated what kind of effects perceived psychological factors (perceived ease of use, perceived intelligence, perceived suitability, perceived price, and perceived risk of privacy) have on the purpose and behavior of using IoT systems through perceived benefit. In addition, the relationship between sensory and emotional experiences of consumers, psychological perception factors and perceived usefulness was tested. Data was collected by conducting an online survey questionnaire completed by 430 respondents. Partial least squares (PLSs) was explored to test the theoretical model. The research results show that perceived psychological factors (perceived ease of use, perceived connectivity, perceived intelligence, perceived convenience, and perceived privacy risk) have significant effect on the intention and behavior of IOT systems usage through perceived benefit. In terms of sensory and emotional experience, it only softens the relationship between the perceived privacy risk of emotional experience and the perceived benefit.

Smart analysis of anxiety people and their activities using heterogeneous quasiperiodic process

“…That is, roughly estimating a dynamic array global optimal. 19 When the gradient descent method is unsuitable, we use the simulated annealing to search for an optimum in a discrete space. 20 It has many local optimums to find a global optimum.…”

“…Here, the heuristic algorithm consists of the components simulated annealing for analyzing and configuring the plan for the levels. That is, roughly estimating a dynamic array global optimal 19 . When the gradient descent method is unsuitable, we use the simulated annealing to search for an optimum in a discrete space 20 .…”

“…The analysis of the different types of disorder and percentages based on age(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35),(10)(11)(12)(13)(14)(15)(16)(17)(18), (36-58), (59+). Analysis of the different types of disorder and percentage.…”

Security Problems in Smart Home Systems

“…Стрімкий розвиток технологій призвів до появи та широкого розповсюдження систем "розумного дому", які революціонізували спосіб взаємодії людей зі своїм житловим простором [1]. Ці системи охоплюють мережу взаємопов'язаних пристроїв і приладів, які спілкуються, співпрацюють і автоматизують завдання для підвищення комфорту, зручності та енергоефективності [2].…”

Application of Lora technology in smart home of Internet of Things

“…Most of the whole system is not hierarchical, systematic and robust enough, and our design solves these problems well. At the same time of open source and paying attention to the privacy of users, the information security of the system has been strengthened, so that it can realize hierarchical management, distributed collection and analysis, visual operation, systematization, efficiency and convenience [2][3].…”