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Smart Internet of Things (IoT) Models for Health Promotion

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Communication and Informatics".

Deadline for manuscript submissions: closed (23 March 2023) | Viewed by 3540

Special Issue Editor


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Guest Editor
Department of Computer Science and Mathematics, University of Quebec at Chicoutimi, Chicoutimi, QC G7H 2B, Canada
Interests: design context-aware smart and adaptive systems; design healthcare systems; design emerging architectures (IoT); software adaptation; smart living
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to bring, for both academics as well as for industrial practitioners, a set of new articles discussing and answering the recent patents on the core of intelligent IoT models and creating solutions of worldwide research issues by publishing high-quality articles in an interdisciplinary area. In addition, this issue provides insights into the use of smart and emergent technologies, frameworks, platforms and systems in order to enhance innovation and achieve a more advanced Internet of Things (IoT) society. More specifically, this Special Issue focuses on the transformation of the processes that firms, organizations and societies in general are pursuing to create economic and societal added values with the implementation of a large panel of smart IoT technologies in several contexts: Artificial intelligence for Health, Assistive technologies, Smart city, Smart home, Smart trees, Smart Living, Public services and health, Transport, e-commerce, Green environment, etc.

The International Journal of Environmental Research and Public Health (IJERPH) accepts papers on a wide range of topics related to technology and services in support of the digital society. Papers that describe novel developments, whether existing or envisaged, and their benefits are particularly welcome. 

It is our pleasure to highlight this Special Issue of many computer science topics and we invite the community of researchers (in academics and industries) from Computer Science, Computer engineering, Software engineering, Healthcare frameworks, Artificial intelligence, Bioinformatics, Smart area, Mathematics, and management Information fields that discuss issues related to emerging technologies, and healthcare innovation. 

Prof. Dr. Hamid Mcheick
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • internet of things
  • smart healthcare systems
  • smart frameworks and platforms
  • artificial intelligence
  • cloud computing
  • edge/fog computing
  • mobile technologies
  • virtual reality
  • data science
  • environmental health
  • blockchain

Published Papers (1 paper)

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Research

12 pages, 813 KiB  
Article
How to Increase Sport Facility Users’ Intention to Use AI Fitness Services: Based on the Technology Adoption Model
by Ji-Hyoung Chin, Chanwook Do and Minjung Kim
Int. J. Environ. Res. Public Health 2022, 19(21), 14453; https://doi.org/10.3390/ijerph192114453 - 04 Nov 2022
Cited by 7 | Viewed by 3124
Abstract
Artificial intelligence (AI) has recently been introduced as a new way of analyzing and predicting sport consumer behavior. The goal of this study was to investigate the relationships among the perceived usefulness, perceived ease of use, the importance of exercise, attitudes towards use, [...] Read more.
Artificial intelligence (AI) has recently been introduced as a new way of analyzing and predicting sport consumer behavior. The goal of this study was to investigate the relationships among the perceived usefulness, perceived ease of use, the importance of exercise, attitudes towards use, and the behavioral intention to use AI services based on the technology adoption model. The authors recruited 408 participants who participated in an experiment designed to provide a deeper understanding of AI fitness services. After screening, the collected data were screened through assumption tests, and we conducted a confirmatory factor analysis and structural equation modeling to analyze research hypotheses. The results indicated that three types of consumer evaluations (i.e., perceived usefulness, perceived ease of use, and importance of exercise) positively influence their attitudes toward AI fitness services. In addition, the positive attitudes regarding AI services positively influenced the intention to use AI services. The results of this research contribute to our knowledge of the consumers’ attitudes and behaviors toward AI services in the sport industry based on the technology acceptance model. Furthermore, this study provided the empirical evidence critically needed to increase our understanding of AI in the sport industry and offered new insights into how sport facility managers can predict their consumers’ intention to use AI services. Full article
(This article belongs to the Special Issue Smart Internet of Things (IoT) Models for Health Promotion)
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