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Information, Volume 15, Issue 9

September 2024 - 73 articles

Cover Story: This paper aims to advance the field of human–computer interaction by conducting a bibliometric analysis of the user experience associated with VUIs. It proposes a classification framework comprising six research categories to systematically organize the existing literature, analyzes the primary research streams, and identifies future research directions within each category. This systematic literature review provides a comprehensive analysis of the development and effectiveness of VUIs in facilitating natural human–machine interaction. It offers critical insights into the user experience of VUIs, contributing to the refinement of VUI design to optimize overall user interaction and satisfaction. View this paper
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Articles (73)

  • Systematic Review
  • Open Access
12 Citations
7,933 Views
13 Pages

A Systematic Review of the Use and Effect of Virtual Reality, Augmented Reality and Mixed Reality in Physical Education

  • Salvador Pérez-Muñoz,
  • Raimundo Castaño Calle,
  • Paula Teresa Morales Campo and
  • Alberto Rodríguez-Cayetano

21 September 2024

New technologies are tools that are present in daily life on a regular basis. In order to improve the didactic process, education must take into account these new technologies. In the field of physical education, the significance of these technologie...

  • Article
  • Open Access
2 Citations
1,743 Views
18 Pages

19 September 2024

In recent years, propelled by societal transformations and technological advancements, emerging technologies founded upon diverse disciplines such as financial and information technology have rapidly evolved. Identifying the trends associated with th...

  • Article
  • Open Access
2 Citations
4,857 Views
35 Pages

19 September 2024

This paper presents two innovative approaches: a synchronous multi-party dialogue system that engages in simultaneous interactions with multiple users, and multi-group simulations involving virtual user groups to evaluate the resilience of this syste...

  • Review
  • Open Access
9 Citations
14,002 Views
18 Pages

19 September 2024

As voice user interfaces (VUIs) rapidly transform the landscape of human–computer interaction, their potential to revolutionize user engagement is becoming increasingly evident. This paper aims to advance the field of human–computer inter...

  • Article
  • Open Access
1 Citations
3,403 Views
19 Pages

19 September 2024

Semantic ontologies have been widely utilized as crucial tools within natural language processing, underpinning applications such as knowledge extraction, question answering, machine translation, text comprehension, information retrieval, and text su...

  • Article
  • Open Access
2,908 Views
16 Pages

Challenges and Trends in Student Evaluation of Teaching: Analysis of SET Data from the University of Peloponnese

  • Ilias Papadogiannis,
  • Costas Vassilakis,
  • Manolis Wallace and
  • Athanassios Katsis

19 September 2024

This study examines the effectiveness of Student Evaluations of Teaching at the University of Peloponnese, which has systematically collected anonymous evaluations since 2015. The analysis focused on participation rates, average scores, and the corre...

  • Article
  • Open Access
7 Citations
3,007 Views
23 Pages

19 September 2024

This work proposes a novel method for the real-time identification and nonlinear control of a permanent-magnet synchronous motor (PMSM) based on a Physics-Informed Neural Network (PINN) and the exact feedback linearization approach. The proposed appr...

  • Article
  • Open Access
1 Citations
2,732 Views
17 Pages

Machine Learning Applications in Prediction Models for COVID-19: A Bibliometric Analysis

  • Hai Lv,
  • Yangyang Liu,
  • Huimin Yin,
  • Jingzhi Xi and
  • Pingmin Wei

18 September 2024

The COVID-19 pandemic has had a profound impact on global health, inspiring the widespread use of machine learning in combating the disease, particularly in prediction models. This study aimed to assess academic publications utilizing machine learnin...

  • Article
  • Open Access
1 Citations
4,733 Views
21 Pages

18 September 2024

Game reviews heavily influence public perception. User feedback is crucial for developers, offering valuable insights to enhance game quality. In this research, Metacritic game reviews for Elden Ring were analyzed for topic modeling using Latent Diri...

  • Article
  • Open Access
5 Citations
7,121 Views
25 Pages

Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study

  • Maryam Abbasi,
  • Marco V. Bernardo,
  • Paulo Váz,
  • José Silva and
  • Pedro Martins

18 September 2024

The increasing complexity of managing modern database systems, particularly in terms of optimizing query performance for large datasets, presents significant challenges that traditional methods often fail to address. This paper proposes a comprehensi...

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Information - ISSN 2078-2489