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Author:

Wu, D. (Wu, D..) | Feng, W. (Feng, W..) | Li, T. (Li, T..) | Yang, Z. (Yang, Z..)

Indexed by:

Scopus

Abstract:

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. © 2023 Elsevier B.V.

Keyword:

Conceptual model Empirical study Intelligence evaluation Smart home

Author Community:

  • [ 1 ] [Wu D.]Beijing University of Technology, China
  • [ 2 ] [Feng W.]Beijing University of Technology, China
  • [ 3 ] [Li T.]Beijing University of Technology, China
  • [ 4 ] [Li T.]Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing, China
  • [ 5 ] [Yang Z.]Beijing University of Technology, China
  • [ 6 ] [Yang Z.]Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing, China

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Source :

Data and Knowledge Engineering

ISSN: 0169-023X

Year: 2023

Volume: 148

2 . 5 0 0

JCR@2022

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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