Artificial Intelligence: Innovation, Applications and Transformative Experiences

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 939

Special Issue Editors


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Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Catholic University of Ávila, 05005 Ávila, Spain
Interests: mechanical behavior of materials; failure analysis; fracture; materials; microstructure; fractography; mechanical engineering; materials engineering; tensile testing; corrosion; mechanical properties; metals; material characterization; materials testing; energy efficiency; hydrogen; serious games; virtual reality; gamification; active learning; finite element method; engineering design; mechanical testing; fracture mechanics; hydrogen embrittlement
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Catholic University of Ávila, 05005 Ávila, Spain
Interests: machine learning; virtual reality; deep learning; collaborative learning; active learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is widely recognized that artificial intelligence (AI) is bringing about a technological revolution in a variety of sectors. This Special Issue will explore how AI, when merged with advanced technologies such as machine learning and computer vision, is driving innovation in fields as diverse as healthcare, education, finance, and industry, among others. From algorithms that accurately diagnose diseases to autonomous systems that redefine mobility, AI has emerged as a catalyst for change and a strategic resource for solving complex problems on a global scale.

There is great interest in learning about the uses and applications of AI in a format that is reproducible by others. In this sense, this Special Issue will delve into practical applications of AI, highlighting success stories that have transformed the way organizations operate and create value. Also of interest are analyses of the advantages and/or disadvantages of using AI in certain sectors. Future trends in the use of AI are also welcome. This Special Issue will reflect on the transformative experiences that AI has generated at both the individual and collective levels. Ethical challenges, the need for responsible governance, and the social implications of the mass adoption of these technologies will be addressed. Beyond technical achievements, it will examine how AI redefines human interactions, work dynamics, and the perception of progress.

This Special Issue is open to submissions of original articles, literature reviews, case reports, or short communications, subject to a rigorous peer review, covering quantitative or qualitative analyses with good scientific soundness, providing new contributions in a specific sector or a comparison between different sectors. We warmly invite researchers to submit their contributions to this Special Issue. Potential topics include, but are not limited to, the following:

  • Artificial intelligence;
  • Technological innovation;
  • Machine learning;
  • Neural networks;
  • Big Data;
  • Automation;
  • Natural language processing;
  • Computer vision;
  • Robotics;
  • Predictive analytics;
  • Business intelligence;
  • Expert systems;
  • User experiences;
  • Digital transformation;
  • Industrial applications;
  • Generative models;
  • Emerging technology;
  • Intelligent solutions.

Dr. Diego Vergara
Dr. Pablo Fernández-Arias
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. Future Internet 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
  • user experience
  • practical applications

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Published Papers (2 papers)

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34 pages, 5804 KiB  
Article
AI-MDD-UX: Revolutionizing E-Commerce User Experience with Generative AI and Model-Driven Development
by Adel Alti and Abderrahim Lakehal
Future Internet 2025, 17(4), 180; https://doi.org/10.3390/fi17040180 - 20 Apr 2025
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Abstract
E-commerce applications have emerged as key drivers of digital transformation, reshaping consumer behavior and driving demand for seamless online transactions. Despite the growth of smart mobile technologies, existing methods rely on fixed UI content that cannot adjust to local cultural preferences and fluctuating [...] Read more.
E-commerce applications have emerged as key drivers of digital transformation, reshaping consumer behavior and driving demand for seamless online transactions. Despite the growth of smart mobile technologies, existing methods rely on fixed UI content that cannot adjust to local cultural preferences and fluctuating user behaviors. This paper explores the combination of generative Artificial Intelligence (AI) technologies with Model-Driven Development (MDD) to enhance personalization, engagement, and adaptability in e-commerce. Unlike static adaptation approaches, generative AI enables real-time, adaptive interactions tailored to individual needs, providing a more engaging and adaptable user experience. The proposed framework follows a three-tier architecture: first, it collects and analyzes user behavior data from UI interactions; second, it leverages MDD to model and personalize user personas and interactions and third, AI techniques, including generative AI and multi-agent reinforcement learning, are applied to refine and optimize UI/UX design. This automation-driven approach uses a multi-agent system to continuously enhance AI-generated layouts. Technical validation demonstrated strong user engagement across diverse platforms and superior performance in UI optimization, achieving an average user satisfaction improvement of 2.3% compared to GAN-based models, 18.6% compared to Bootstrap-based designs, and 11.8% compared to rule-based UI adaptation. These results highlight generative AI-driven MDD tools as a promising tool for e-commerce, enhancing engagement, personalization, and efficiency. Full article
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32 pages, 2348 KiB  
Review
The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review
by Francesco Branda, Massimo Stella, Cecilia Ceccarelli, Federico Cabitza, Giancarlo Ceccarelli, Antonello Maruotti, Massimo Ciccozzi and Fabio Scarpa
Future Internet 2025, 17(4), 145; https://doi.org/10.3390/fi17040145 - 26 Mar 2025
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Abstract
The rapid emergence of infectious disease outbreaks has underscored the urgent need for effective communication tools to manage public health crises. Artificial Intelligence (AI)-based chatbots have become increasingly important in these situations, serving as critical resources to provide immediate and reliable information. This [...] Read more.
The rapid emergence of infectious disease outbreaks has underscored the urgent need for effective communication tools to manage public health crises. Artificial Intelligence (AI)-based chatbots have become increasingly important in these situations, serving as critical resources to provide immediate and reliable information. This review examines the role of AI-based chatbots in public health emergencies, particularly during infectious disease outbreaks. By providing real-time responses to public inquiries, these chatbots help disseminate accurate information, correct misinformation, and reduce public anxiety. Furthermore, AI chatbots play a vital role in supporting healthcare systems by triaging inquiries, offering guidance on symptoms and preventive measures, and directing users to appropriate health services. This not only enhances public access to critical information but also helps alleviate the workload of healthcare professionals, allowing them to focus on more complex tasks. However, the implementation of AI-based chatbots is not without challenges. Issues such as the accuracy of information, user trust, and ethical considerations regarding data privacy are critical factors that need to be addressed to optimize their effectiveness. Additionally, the adaptability of these chatbots to rapidly evolving health scenarios is essential for their sustained relevance. Despite these challenges, the potential of AI-driven chatbots to transform public health communication during emergencies is significant. This review highlights the importance of continuous development and the integration of AI chatbots into public health strategies to enhance preparedness and response efforts during infectious disease outbreaks. Their role in providing accessible, accurate, and timely information makes them indispensable tools in modern public health emergency management. Full article
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