Special Issue "Computer Technologies for Human-Centered Cyber World"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 15 May 2019

Special Issue Editor

Guest Editor
Prof. Dr. Wenbing Zhao

Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44011, USA.
Website 1 | Website 2 | E-Mail
Interests: distributed systems; blockchains; smart healthcare; sensor networks; Internet of Things

Special Issue Information

Dear Colleagues,

Human-centered cyber systems are intrinsically multidisciplinary, which requires the collaboration of researchers and developers in systems science and engineering, human–machine systems, and cybernetics. We welcome original research contributions and manuscripts that have been substantially extended based on conference proceeding publications such as IEEE SMC. Topics of interests include any subjects in the areas of systems science and engineering, human–machine systems, and cybernetics, such as affective computing, cyber-physical systems, distributed intelligent systems, artificial life, human–computer interaction, augmented cognition, assistive technology, user interface design, usability study, robotic systems, machine vision, medical informatics, decision support systems, etc.

Prof. Wenbing Zhao
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 papers will be 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. Computers is an international peer-reviewed open access quarterly 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 550 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

  • affective computing
  • human–computer interaction
  • artificial intelligence
  • intelligent systems
  • decision support systems
  • cybernetics
  • human–machine systems
  • machine vision
  • virtual and augmented reality

Published Papers (2 papers)

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Research

Open AccessArticle Location Intelligence Systems and Data Integration for Airport Capacities Planning
Received: 27 December 2018 / Revised: 30 January 2019 / Accepted: 3 February 2019 / Published: 7 February 2019
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Abstract
This paper describes an approach introducing location intelligence using open-source software components as the solution for planning and construction of the airport infrastructure. As a case study, the spatial information system of the International Airport in Sarajevo is selected. Due to the frequent [...] Read more.
This paper describes an approach introducing location intelligence using open-source software components as the solution for planning and construction of the airport infrastructure. As a case study, the spatial information system of the International Airport in Sarajevo is selected. Due to the frequent construction work on new terminals and the increase of existing airport capacities, as one of the measures for more efficient management of airport infrastructures, the development team has suggested to airport management to introduce location intelligence, meaning to upgrade the existing information system with a functional WebGIS solution. This solution is based on OpenGeo architecture that includes a set of spatial data management technologies used to create an online internet map and build a location intelligence infrastructure. Full article
(This article belongs to the Special Issue Computer Technologies for Human-Centered Cyber World)
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Open AccessArticle Exergame Experience of Young and Old Individuals Under Different Difficulty Adjustment Methods
Received: 4 October 2018 / Revised: 30 October 2018 / Accepted: 5 November 2018 / Published: 7 November 2018
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Abstract
In this work, we compare the exergaming experience of young and old individuals under four difficulty adjustment methods. Physical inactivity is a leading cause of numerous health conditions including heart diseases, diabetes, cancer, and reduced life expectancy. Committing to regular physical exercise is [...] Read more.
In this work, we compare the exergaming experience of young and old individuals under four difficulty adjustment methods. Physical inactivity is a leading cause of numerous health conditions including heart diseases, diabetes, cancer, and reduced life expectancy. Committing to regular physical exercise is a simple non-pharmaceutical preventive measure for maintaining good health and sustaining quality of life. Incorporating exercise into games, studies frequently used exergames as an intervention tool over the last decades to improve physical functions and to increase adherence to exercise. While task difficulty optimization is crucial to exergame design, researchers consistently overlooked age as an element which can significantly influence the nature of end results. We use the Flow State Scale to analyze the mental state of young and old individuals to compare constant difficulty with ramping, performance-based, and biofeedback-based difficulty adjustments. Our results indicate that old individuals are less likely to experience flow compared to young under the same difficulty adjustment methods. Further investigation revealed that old individuals are likely to experience flow under ramping and biofeedback-based difficulty adjustments whereas performance-based adjustments were only feasible for young. Full article
(This article belongs to the Special Issue Computer Technologies for Human-Centered Cyber World)
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