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Advances in Immersive Technologies, Knowledge Representation, and AI for Human...
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Advances in Immersive Technologies, Knowledge Representation, and AI for Human Centered Digital Experiences

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 16 September 2024 | Viewed by 4419

Special Issue Editor

Dr. Partarakis Nikolaos

E-Mail Website
Guest Editor
Human Computer Interaction Laboratory, Institute of Computer Science, Foundation for Research and Technology Hellas, N. Plastira 100 Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece
Interests: information systems; human computer interaction; X-Reality applications; 3D digitization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue on Human-Centered ICT Technologies is approaching research and technological development in an interdisciplinary way. It serves as a platform for researchers, practitioners, and professionals to contribute by projecting advances in their research field to the field of Human‒Computer Interaction, thus prioritizing human experiences and interactions.

The journal welcomes contributions from various disciplines, embracing the intersection of technology, design, and human factors. It provides a forum for researchers and experts to share their insights, discoveries, and innovations in a wide range of topics, including but not limited to:

  1. Advances in User Interface design, development, and evaluation including new approaches for explicit and implicit interaction.
  2. Human-centered web-based information systems leveraging on knowledge representation, data visualization and data mining, big data analysis, and visualization.
  3. Semantic Knowledge Representation and Presentation to enhance user interaction with information, user participation in information processing, and user experience.
  4. X-Reality Applications (AR, VR, MR) for immersive human-centered experiences, in vocational education and training.
  5. Human motion and 3D digitization for enhancing digital experiences and supporting novel interaction metaphors.
  6. Serious Games design and development to address educational, training, and societal challenges.
  7. AI approaches in User Interfaces, Information Processing, and Information Visualization.

In this Special Issue, we welcome high-quality research papers, case studies, review articles, and theoretical perspectives that contribute to the advancement of the aforementioned research topics. We also encourage the submission of interdisciplinary studies that bridge the gap between technology and human experiences.

I look forward to receiving your contributions.

Dr. Nikolaos Partarakis
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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

  • human computer interaction
  • user interfaces design
  • web-based information systems
  • X-reality
  • augmented reality
  • virtual reality
  • mixed reality
  • artificial intelligence
  • information processing
  • information visualization
  • semantic knowledge representation
  • human motion
  • 3D digitization

Published Papers (3 papers)

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Research

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12 pages, 8185 KiB  
Article
Augmented Reality Visualization and Quantification of COVID-19 Infections in the Lungs
by Jiaqing Liu, Liang Lyu, Shurong Chai, Huimin Huang, Fang Wang, Tomoko Tateyama, Lanfen Lin and Yenwei Chen
Electronics 2024, 13(6), 1158; https://doi.org/10.3390/electronics13061158 - 21 Mar 2024
Viewed by 630
Abstract
The ongoing COVID-19 pandemic has had a significant impact globally, and the understanding of the disease’s clinical features and impacts remains insufficient. An important metric to evaluate the severity of pneumonia in COVID-19 is the CT Involvement Score (CTIS), which is determined by [...] Read more.
The ongoing COVID-19 pandemic has had a significant impact globally, and the understanding of the disease’s clinical features and impacts remains insufficient. An important metric to evaluate the severity of pneumonia in COVID-19 is the CT Involvement Score (CTIS), which is determined by assessing the proportion of infections in the lung field region using computed tomography (CT) images. Interactive augmented reality visualization and quantification of COVID-19 infection from CT allow us to augment the traditional diagnostic techniques and current COVID-19 treatment strategies. Thus, in this paper, we present a system that combines augmented reality (AR) hardware, specifically the Microsoft HoloLens, with deep learning algorithms in a user-oriented pipeline to provide medical staff with an intuitive 3D augmented reality visualization of COVID-19 infections in the lungs. The proposed system includes a graph-based pyramid global context reasoning module to segment COVID-19-infected lung regions, which can then be visualized using the HoloLens AR headset. Through segmentation, we can quantitatively evaluate and intuitively visualize which part of the lung is infected. In addition, by evaluating the infection status in each lobe quantitatively, it is possible to assess the infection severity. We also implemented Spectator View and Sharing a Scene functions into the proposed system, which enable medical staff to present the AR content to a wider audience, e.g., radiologists. By providing a 3D perception of the complexity of COVID-19, the augmented reality visualization generated by the proposed system offers an immersive experience in an interactive and cooperative 3D approach. We expect that this will facilitate a better understanding of CT-guided COVID-19 diagnosis and treatment, as well as improved patient outcomes. Full article
(This article belongs to the Special Issue Advances in Immersive Technologies, Knowledge Representation, and AI for Human Centered Digital Experiences)
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31 pages, 5489 KiB  
Article
Explicit Representation of Mechanical Functions for Maintenance Decision Support
by Mengchu Song, Ilmar F. Santos, Xinxin Zhang, Jing Wu and Morten Lind
Electronics 2023, 12(20), 4267; https://doi.org/10.3390/electronics12204267 - 15 Oct 2023
Cited by 1 | Viewed by 1072
Abstract
Artificial intelligence (AI) has been increasingly applied to condition-based maintenance (CBM), a knowledge-based method taking advantage of human expertise and other system knowledge that can serve as an alternative in cases in which machine learning is inapplicable due to a lack of training [...] Read more.
Artificial intelligence (AI) has been increasingly applied to condition-based maintenance (CBM), a knowledge-based method taking advantage of human expertise and other system knowledge that can serve as an alternative in cases in which machine learning is inapplicable due to a lack of training data. Functional information is seen as the most fundamental and important knowledge in maintenance decision making. This paper first proposes a mechanical functional modeling approach based on a functional modeling and reasoning methodology called multilevel flow modeling (MFM). The approach actually bridges the modeling gap between the mechanical level and the process level, which potentially extends the existing capability of MFM in rule-based diagnostics and prognostics from operation support to maintenance support. Based on this extension, a framework of optimized CBM is proposed, which can be used to diagnose potential mechanical failures from condition monitoring data and predict their future impacts in a qualitative way. More importantly, the framework uses MFM-based reliability-centered maintenance (RCM) to determine the importance of a detected potential failure, which can ensure the cost-effectiveness of CBM by adapting the maintenance requirements to specific operational contexts. This ability cannot be offered by existing CBM methods. An application to a mechanical test apparatus and hypothetical coupling with a process plant are used to demonstrate the proposed framework. Full article
(This article belongs to the Special Issue Advances in Immersive Technologies, Knowledge Representation, and AI for Human Centered Digital Experiences)
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Review

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19 pages, 334 KiB  
Review
A Review of Immersive Technologies, Knowledge Representation, and AI for Human-Centered Digital Experiences
by Nikolaos Partarakis and Xenophon Zabulis
Electronics 2024, 13(2), 269; https://doi.org/10.3390/electronics13020269 - 7 Jan 2024
Cited by 1 | Viewed by 2379
Abstract
The evolution of digital technologies has resulted in the emergence of diverse interaction technologies. In this paper, we conducted a review of seven domains under a human-centric approach user interface design, human-centered web-based information systems, semantic knowledge representation, X-reality applications, human motion and [...] Read more.
The evolution of digital technologies has resulted in the emergence of diverse interaction technologies. In this paper, we conducted a review of seven domains under a human-centric approach user interface design, human-centered web-based information systems, semantic knowledge representation, X-reality applications, human motion and 3D digitization, serious games, and AI. In this review, we studied these domains concerning their impact on the way we interact with digital interfaces, process information, and engage in immersive experiences. As such, we highlighted the shifts in design paradigms, user-centered principles, and the rise of web-based information systems. The results of such shifts are materialized in modern immersive technologies, semantic knowledge representation, serious games, and the facilitation of artificial intelligence for interactions. Through this exploration, we aimed to assist our understanding of the challenges that lie ahead. The seamless integration of technologies, ethical considerations, accessibility, education for technological literacy, interoperability, user trust, environmental sustainability, and regulatory frameworks are becoming significant. These challenges present opportunities for the future to enrich human experiences while addressing societal needs. This paper lays the groundwork for thoughtful and innovative approaches to the challenges that will define the future of human–computer interaction and information technologies. Full article
(This article belongs to the Special Issue Advances in Immersive Technologies, Knowledge Representation, and AI for Human Centered Digital Experiences)
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