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Artificial Intelligence Methods for Human-Computer Interaction
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Artificial Intelligence Methods for Human-Computer Interaction

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 5898

Special Issue Editors

Dr. Alessia Amelio

E-Mail Website
Guest Editor
1. Department InGeo, University "G. d'Annunzio" Chieti-Pescara, 65127 Pescara, Italy
2. Research Laboratory "Hugo Gernsback", Telematic University Leonardo da Vinci, 66010 Torrevecchia Teatina, Italy
Interests: artificial intelligence; pattern recognition; data analysis; human-computer interaction
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Arcangelo Merla

E-Mail Website
Guest Editor
Department of Engineering and Geology, University of G. d'Annunzio Chieti and Pescara, 65127 Pescara, Italy
Interests: infrared imaging; medical imaging; neuroimaging; psychophysiology; human–machine interaction
Special Issues, Collections and Topics in MDPI journals
Dr. Daniela Cardone

E-Mail Website
Guest Editor
Department of Engineering and Geology, University of G. d'Annunzio Chieti and Pescara, 65127 Pescara, Italy
Interests: artificial intelligence methods; robotics and affective computing; human–machine interaction; processing methods and analysis of biomedical images and physiological signals; computer vision
Special Issues, Collections and Topics in MDPI journals
Dr. David Perpetuini

E-Mail Website
Guest Editor
Department of Engineering and Geology, University of G. d'Annunzio Chieti and Pescara, 65127 Pescara, Italy
Interests: infrared thermography; functional infrared spectroscopy (fNIRS); electroencephalography (EEG); photoplethysmography (PPG); wearable sensors; affective computing; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Human–computer interaction (HCI) is a field of research that focuses on the creation, assessment, and application of interactive computer systems for human use, as well as the investigation of significant phenomena related to these areas. Since HCI is mostly related to communication between humans and machines, its study is inherently multidisciplinary. Thus, researchers from all backgrounds can contribute to the success of this field. Specifically, investigation HCI involves operating systems, programming languages, development environments, and computer graphics on the machine side. Relevant fields in the humanities include communication theory, linguistics, graphic and industrial design, social sciences, cognitive and social psychology, and any disciplines capable of integrating human factors like computer user satisfaction.

In this context, the recent progress of digital transition and disruptive technologies has been mostly focused on the introduction of innovative intelligent systems, capable of interacting with humans, in order to accomplish specific relevant needs. In particular, generative AI systems, emotion recognition techniques, human–robot approaches, AI methods for personalized healthcare and telemedicine, and intelligent education systems have flourished in recent times, posing new challenges in deep learning algorithms development, affective digital communication, digital security, privacy of personal data, ethics of information and green and sustainable policies of using AI methods for HCI.

Therefore, this Special Issue aims to collect high-quality original research and survey papers from academics and industrial researchers in the fields of artificial intelligence, big data, knowledge management, cybersecurity, affective computing, cognitive science, sustainable technological development and digital transition. We are particularly concerned with research on the development of machine learning and deep learning models for HCI, ethics of information in intelligent HCI, intelligent human–machine interfaces, as well as user-centered evaluation of intelligent HCI systems and approaches of intelligent HCI for healthcare and education. Contributors should use the most advanced methods and applications.

 Topics of interest include, but are not limited to, the following:

  • Generative AI systems;
  • Security and privacy for intelligent HCI systems;
  • Intelligent HCI for personalized medicine and telemedicine;
  • Affective communication methods;
  • Human–robot approaches;
  • Ethics of information in intelligent HCI;
  • User satisfaction metrics for intelligent HCI;
  • Green methodologies for generative AI;
  • Communication systems and protocols for intelligent HCI;
  • Interaction design and user-centered design in intelligent HCI;
  • Intelligent education systems;
  • Prosocial agents’ development;
  • Human factors in HCI.

Dr. Alessia Amelio
Prof. Dr. Arcangelo Merla
Dr. Daniela Cardone
Dr. David Perpetuini
Guest Editors

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. Information 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 1600 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

  • artificial intelligence
  • affective communication
  • human–robot approaches
  • generative artificial intelligence
  • deep learning
  • human-computer interfaces
  • cognitive science
  • telemedicine

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

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Research

19 pages, 2108 KiB  
Article
Innovative Transitions: Exploring Demand for Smart City Development in Novi Sad as a European Capital of Culture
by Minja Bolesnikov, Mario Silić, Dario Silić, Boris Dumnić, Jelena Ćulibrk, Maja Petrović and Tamara Gajić
Information 2024, 15(11), 730; https://doi.org/10.3390/info15110730 - 15 Nov 2024
Viewed by 521
Abstract
This study investigates the factors influencing the acceptance and implementation of smart city solutions, with a particular focus on smart mobility and digital services in Novi Sad, one of the leading urban centers in Serbia. Employing a quantitative methodology, the research encompasses citizens’ [...] Read more.
This study investigates the factors influencing the acceptance and implementation of smart city solutions, with a particular focus on smart mobility and digital services in Novi Sad, one of the leading urban centers in Serbia. Employing a quantitative methodology, the research encompasses citizens’ perceptions of the benefits of smart technologies, their level of awareness regarding smart solutions, the degree of engagement in using digital services, and their interest in smart mobility. The results indicate that these factors are crucial for the successful integration of smart technologies. Notably, awareness of smart city initiatives and the perceived benefits, such as improved mobility, reduced traffic congestion, increased energy efficiency, and enhanced quality of life, are highlighted as key prerequisites for the adoption of these solutions. Novi Sad, as the European Capital of Culture in 2022, presents a unique opportunity for the implementation of these technologies. Our findings point to the need for strategic campaigns aimed at educating and raising public awareness. The practical implications of this study could contribute to shaping policies that encourage the development of smart cities, not only in Novi Sad but also in other urban areas across Serbia and the region. This study confirms the importance of citizen engagement and technological literacy in the transformation of urban environments through smart solutions, underscoring the potential of these technologies to improve everyday life and achieve sustainable urban development. Full article
(This article belongs to the Special Issue Artificial Intelligence Methods for Human-Computer Interaction)
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19 pages, 851 KiB  
Article
The Ethics and Cybersecurity of Artificial Intelligence and Robotics in Helping The Elderly to Manage at Home
by Jyri Rajamäki and Jaakko Helin
Information 2024, 15(11), 729; https://doi.org/10.3390/info15110729 - 15 Nov 2024
Viewed by 529
Abstract
The aging population, combined with the scarcity of healthcare resources, presents significant challenges for our society. The use of artificial intelligence (AI) and robotics offers a potential solution to these challenges. However, such technologies also raise ethical and cybersecurity concerns related to the [...] Read more.
The aging population, combined with the scarcity of healthcare resources, presents significant challenges for our society. The use of artificial intelligence (AI) and robotics offers a potential solution to these challenges. However, such technologies also raise ethical and cybersecurity concerns related to the preservation of privacy, autonomy, and human contact. In this case study, we examine these ethical challenges and the opportunities brought by AI and robotics in the care of old individuals at home. This article aims to describe the current fragmented state of legislation related to the development and use of AI-based services and robotics and to reflect on their ethics and cybersecurity. The findings indicate that, guided by ethical principles, we can leverage the best aspects of technology while ensuring that old people can maintain a dignified and valued life at home. The careful handling of ethical issues should be viewed as a competitive advantage and opportunity, rather than a burden. Full article
(This article belongs to the Special Issue Artificial Intelligence Methods for Human-Computer Interaction)
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13 pages, 185 KiB  
Article
Deep Learning and Knowledge
by Donald Gillies
Information 2024, 15(11), 720; https://doi.org/10.3390/info15110720 - 11 Nov 2024
Viewed by 305
Abstract
This paper considers the question of what kind of knowledge is produced by deep learning. Ryle’s concept of knowledge how is examined and is contrasted with knowledge with a rationale. It is then argued that deep neural networks do produce knowledge how, [...] Read more.
This paper considers the question of what kind of knowledge is produced by deep learning. Ryle’s concept of knowledge how is examined and is contrasted with knowledge with a rationale. It is then argued that deep neural networks do produce knowledge how, but, because of their opacity, they do not in general, though there may be some special cases to the contrary, produce knowledge with a rationale. It is concluded that the distinction between knowledge how and knowledge with a rationale is a useful one for judging whether a particular application of deep learning AI is appropriate. Full article
(This article belongs to the Special Issue Artificial Intelligence Methods for Human-Computer Interaction)
22 pages, 3063 KiB  
Article
AI Impact on Hotel Guest Satisfaction via Tailor-Made Services: A Case Study of Serbia and Hungary
by Ranko Makivić, Dragan Vukolić, Sonja Veljović, Minja Bolesnikov, Lóránt Dénes Dávid, Andrea Ivanišević, Mario Silić and Tamara Gajić
Information 2024, 15(11), 700; https://doi.org/10.3390/info15110700 - 4 Nov 2024
Viewed by 1601
Abstract
This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food [...] Read more.
This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. The research was conducted in Serbia and Hungary, using structural models to assess and analyze direct and indirect effects. The results show that AI personalization significantly contributes to guest satisfaction, with mediating variables such as trust in AI systems and technological experience playing a key role. A comparative analysis highlights differences between Hungary, a member of the European Union, and Serbia, a country in transition, shedding light on specific regulatory frameworks and cultural preferences in these countries. Full article
(This article belongs to the Special Issue Artificial Intelligence Methods for Human-Computer Interaction)
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21 pages, 1323 KiB  
Article
Exploring Players’ Perspectives: A Comprehensive Topic Modeling Case Study on Elden Ring
by Fatemeh Dehghani and Loutfouz Zaman
Information 2024, 15(9), 573; https://doi.org/10.3390/info15090573 - 18 Sep 2024
Viewed by 1189
Abstract
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 Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers [...] Read more.
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 Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers (BERT), and a hybrid model combining both to identify effective methods for extracting underlying themes in player feedback. We analyzed and interpreted these models’ outputs to learn the game reviews. We aimed to identify the differences, similarities, and variations between the three to determine which provided more valuable and instructive information. Our findings indicate that each method successfully identified keywords with some similarities in identified words. The LDA model had the highest silhouette score, indicating the most distinct clustering. The LDA-BERT model had a 1% higher coherence score than LDA, indicating more meaningful topics. Full article
(This article belongs to the Special Issue Artificial Intelligence Methods for Human-Computer Interaction)
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