Maria Virvou

University of Piraeus · Department of Informatics

This paper is about providing intelligent help to users interacting with an operating system. Its main focus is an investigation of Human Plausible Reasoning Theory (Collins & Michalski, 1989) to infer the commands the user should have typed, given what they did type. The theory has been adapted and incorporated into a prototype Intelligent Help Sy...

Computer games are very popular among children and adolescents. In this respect, they could be exploited by educational software designers to render educational software more attractive and motivating. However, it remains to be explored what the educational scope of educational software games is. In this paper, we explore several issues concerning...

As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the ma...

Nowadays, the use of educational games is gaining substantial popularity. Games offer immersive and fascinating environments that render them a powerful tool for achieving high-quality learning outcomes, like advancing students’ education through engaging activities. However, one crucial enhancement is that they should take into consideration impor...

One important field where mobile technology can make significant contributions is Education. In the fast pace of modern life, students and instructors would appreciate using constructively some spare time that they may have, in order to work on lessons at any place, even when away from offices, classrooms and labs where computers are usually locate...

Recent advancements in intelligent tutoring systems (ITS) driven by artificial intelligence (AI) have attracted substantial research interest, particularly in the domain of computer programming education. Given the diversity in learners’ backgrounds, cognitive abilities, and learning paces, the development of personalized tutoring strategies to sup...

This paper presents an innovative approach to Extreme Value Analysis (EVA) by introducing the Extreme Value Dynamic Benchmarking Method (EVDBM). EVDBM integrates extreme value theory to detect extreme events and is coupled with the novel Dynamic Identification of Significant Correlation (DISC)-Thresholding algorithm, which enhances the analysis of...

Recent advancements in Intelligent Tutoring Systems (ITS), driven by Artificial Intelligence (AI), have attracted substantial research interest, particularly in the domain of computer programming education. Given the diversity in learners' backgrounds, cognitive abilities, and learning paces, the development of personalized tutoring strategies to s...

Emotional feeling is a phase of neurobiological activity that plays an important role in cognitive thinking and learning, although largely overlooked in complex tutoring fields like Mathematics. This paper introduces an innovative e-learning Mathematics course integrating emojis as a feedback mechanism to express students’ emotional responses towar...

The rise of Artificial Intelligence creates great promise in the field of medical discovery, diagnostics and patient management. However, the vast complexity of all medical domains require a more complex approach that combines machine learning algorithms, classifiers, segmentation algorithms and, lately, large language models. In this paper, we des...

The significant proliferation of AI-empowered systems and machine learning (ML) across various examined domains underscores the vital necessity for comprehensive and customised explainability frameworks to lead to usable and trustworthy systems. Especially in the medical domain, where validation of methodologies and outcomes is as important as the...

The COVID-19 epidemic has caused a significant and profound change in the worldwide tourism sector, leading to a transition from excessive tourism to a state of non-tourism. Consequently, previously bustling tourist locations have exhibited for years a haunting emptiness. Given the aforementioned circumstances, the present chapter explores the deep...

Artificial intelligence (AI) is widely employed with efficacy across diverse domains. The field of smart tourism has the potential to be significantly transformed through the utilisation of AI. This is not surprising given that AI provides autonomous decision-making similar to that of humans, which in the travel industry enables personalized recomm...

Although “smart tourism” has become a catchphrase, multiple interpretations and understandings exist, making it more of a nebulous term than a field with firm foundations. Aiming to contribute to the smart tourism literature, we have located, selected, categorised, and evaluated recent articles in computer science journals, proceedings, and confere...

Currently, there are 6.8 billion smartphone users worldwide while, at the same time, people of all ages actively engage with social networking sites for business, socialising, dating, politics, and simple day-to-day communication. As of April 2022, approximately 4.65 billion individuals were accessing social media, according to Statista [48]. As th...

Considering that Artificial Intelligence is a game-changer in the smart tourism business, one of our key contributions is the formal presentation of frameworks that leverage AI technologies in the context of smart tourism. The utilisation of user-captured photographs in the smart tourism context is one novel approach shared by both frameworks that...

Large language models (LLMs) constitute a breakthrough state-of-the-art Artificial Intelligence technology which is rapidly evolving and promises to aid in medical diagnosis. However, the correctness and the accuracy of their returns has not yet been properly evaluated. In this work, we propose an LLM evaluation paradigm that incorporates two indep...

In this paper, we present a novel Artificial Intelligence (AI) -empowered system that enhances large language models and other machine learning tools with rules to provide primary care diagnostic advice to patients. Specifically, we introduce a novel methodology, represented through a process diagram, which allows the definition of generative AI pr...

At the time of writing, there are 6.8 billion smartphone users worldwide and projections indicate that this number will surpass seven billion by 2024 [21]. That being the case, we focused on investigating how this portable technology could contribute to the development of smart cities and smart tourism. This extensive research led to a significant...

As this book has delved deeply into the realm of smart tourism, with a secondary focus on smart cities, addressing key facets and intricacies within these domains, we now stand at a pivotal juncture, a chapter dedicated to “Open Questions and Future Directions.” Within this specific chapter, we explore the questions that remain unanswered, the gaps...

Blockchain, also known as Distributed Ledger Technology (DLT), has garnered significant interest from scholars and professionals in various industries. Given this circumstance, our primary objective was to make a scholarly contribution by conducting a comprehensive analysis of the current state of blockchain technology in the smart tourism business...

Contemporary Decision Support Systems increasingly incorporate Artificial Intelligence technologies, enhancing their trustworthiness and robustness of autonomy and expanding their applicability across various new domains. These Artificial Intelligence-empowered approaches prove to be very effective and include: (1) Intelligent decision-making syste...

This paper presents a novel development methodology for artificial intelligence (AI) analytics in energy management that focuses on tailored explainability to overcome the “black box” issue associated with AI analytics. Our approach addresses the fact that any given analytic service is to be used by different stakeholders, with different background...

In this paper, we present an Intelligent Tutoring System (ITS), for use in teaching the logic of computer programming and the programming language ‘C’. The aim of the ITS is to adapt the delivered learning material and the lesson sequence to the knowledge level and learning needs of each individual student. The adaptation of the presented ITS is ba...

International Journal on Artificial Intelligence Tools Vol. 32, No. 5 (2023) 2302003 (3 pages) © World Scientific Publishing Company DOI: 10.1142/S0218213023020037 FREELY-ACCESSIBLE at https://www.worldscientific.com/doi/10.1142/S0218213023020037 Editorial - Aim of the Special Issue The 33rd IEEE International Conference on Tools with Artificial...

Machine learning models have vastly proved their contribution to decision-making in many aspects of daily life. Yet, their acceptance is confined, especially in public authorities, due to the lack of trust and reliability in their results, often credited to the shortage of “black box” models’ explainability and interpretability. The present study i...

The quizzes allow the tutor to assess the student's knowledge level briefly. However, creating a quiz is a challenging task that requires time and effort. If the tutor wants to create multiple quizzes tailored to the student's needs, the time needed to construct them increases dramatically. Furthermore, a large pool of questions and activities make...

Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are achieving their goals through computer use. To this end, AI is used in varying techniques t...

Biomarkers have been proposed as powerful classification features for use in the training of neural network-based and other machine learning and artificial intelligence-based prognostic models in the field of personalized medicine and for targeted interventions in patient management. Biomarkers are measurable indications of a health state, that can...

An educational game aims to employ the pleasant and fascinating environment of a game for educational purpose. However, when the game’s educational content or playing environment does not match with the player’s learning needs or game-playing skills, the player can find the game either too easy or too difficult and decide to drop it. Therefore, a s...

Undeclared work is a composite socioeconomic matter severely affecting the welfare of workers, legitimate companies, and the state by issuing unfair competition in the labour market and causing considerable state revenue losses by tax evasion. Labour inspectorates are tasked to deal effectively with this issue but usually lack adequate resources an...

In this paper, a fuzzy-based evaluation method is presented for the impact of e-learning on several aspects of the learning lives of academic students of Information and Communication Technologies (ICT) during the COVID-19 pandemic. Specifically, the academic year 2020–2021 was considered when a general lockdown was imposed in Greece and all course...

The Intelligent Decision Technologies Journal, IOS Press is devoting the special collection at hand to Novel Research Results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelli...

Nowadays, the improvement of digital learning with Artificial Intelligence has attracted a lot of research, as it provides solutions for individualized education styles which are independent of place and time. This is particularly the case for computer science, as a tutoring domain, which is rapidly growing and changing and as such, learners need f...

Testing is a significant part of the teaching and learning process. An assessment test has to include test items that are tailored to the individual learning needs of the students in order to be more accurate and support learning in a more effective way. In this paper, a fuzzy-based mechanism is presented for automatic personalized assessment in an...

To ensure the alignment between developers, engi- neers and other stakeholders in the various steps of a production cycle, the utilisation of one of the many development methodolo- gies is imperative for the successful transition from an idea to a useful and reliable end product. The rational unified process is the most precise and most cited itera...

The Rational Unified Process (R.U.P.) is an iterative Software Engineering Process, that ensures alignment between engineers and stakeholders through optimized and detailed partinionalised steps within predefined constraints [1]. The independently deployable services that are components of distributed systems are called microservices. They are part...

Undeclared work is a complex and ever-changing problem severely impacting society and the economy. It is one of the structural parts of the informal sector and undermines the well-being of workers and businesses and the foundations of the welfare state. Labour inspectorates are among the leading public institutions dealing with undeclared work, but...

Although many efforts have been made through past years, skin cancer recognition from medical images is still an active area of research aiming at more accurate results. Many efforts have been made in recent years based on deep learning neural networks. Only a few, however, are based on a single deep learning model and targeted to create a mobile a...

Artificial Intelligence research is presenting phenomenal progress in two directions: (i) new theories and methodologies, and (ii) applications that expand traditional domains with innovative interventions. As indicated by recent reports, this progress has created a disequilibrium, where demand for scientists with skills in Artificial Intelligence...

Advances in Selected AI Areas: World Outstanding Women in Ai Editors: Maria VIrvou George A Tsihrintzis Lakmi C Jain Springer https://www.amazon.com/Advances-Selected-Artificial-Intelligence-Areas/dp/3030930513/ref=sr_1_18?keywords=virvou+tsihrintzis&qid=1637614784&s=books&sr=1-18

As human societal organization is being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence-based technologies is growing continuously and rapidly and expands in itself while its results are applied to an ever-increasing number of other disciplines. The book at hand aims at exposing the reader to some of the most signi...

A fundamental priority of modern societies is to provide assistance to vulnerable people, including elderly people, people with cognitive disabilities, such as memory problems or dementia, and people with functional disabilities, such as those needing support in toileting, moving around, eating, bathing, dressing, grooming and taking personal care....

The field of Machine Learning and its sub-field of Deep Learning are most active areas of research in Artificial Intelligence, as researchers worldwide continuously develop and announce both new theoretical results and innovative applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its readers to some o...

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cogn...

This book aims at exposing its readers to some of the most significant advances in assistive technologies. Assistive technologies develop devices to assist vulnerable people, including elderly people, people with cognitive disabilities such as memory problems or dementia, and people with functional disabilities such as those needing support in toil...

As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at inco...

Addressing undeclared work is a high priority in the labor field for government policymakers since it adversely affects all involved parties and results in significant losses in tax and social security contribution revenues. In the last years, the wide use of ICT in labor inspectorates and the considerable progress in data exchange have resulted in...

The rapid progress in the deep learning field and high-performance computing, has contributed significantly to the growth of object detection in images techniques. This paper presents the development of an innovative smartphone application, which recognizes and counts objects in images that users offer. As we all know, object detection, is a...

The InterPlanetary File System (IPFS) is employed extensively nowadays by many blockchain projects to store personal data off-chain in order to comply with the Right to be Forgotten (RtbF) provision of the General Data Protection Regulation (GDPR). Nevertheless, upon an erasure request under the RtbF, the onus of removing the actual personal inform...

In the previous chapter we analysed the impact of implementing the GDPR, and in particular the RtbF, in established IT environments and business processes. However, two advanced technological trends of our times used increasingly nowadays for storing and processing personal data, have been emerged in parallel and independently of the GDPR: the ubiq...

The GDPR, being a legal document, follows a technology-agnostic approach so as not to bind the provisions of the law with current trends and state-of-the-art technologies in computer science and information technology. Yet, the technical challenges of aligning modern systems and processes with the GDPR provisions, and mainly with the Right to be Fo...

The sudden outbreak of COVID-19 at the late 2019 has brought enormous hurdles globally to our everyday lives and to our society. In order to mitigate the impact of the pandemic and to control the dissemination of the coronavirus, governments worldwide have taken extreme surveillance measures which most of the times invade to individuals’ privacy an...

Privacy in blockchains is rather complicated as it contradicts with some highly praised properties of blockchain such as immutability. Immutability is considered a cornerstone of blockchains’ security and, therefore, an indisputable property according to which transactional blockchain data cannot be edited nor deleted. However, blockchain’s immutab...

Privacy nowadays is commonly discussed in the context of data protection. While privacy and data protection are not synonymous, they overlap to a great extent. In consequence, privacy —besides data protection—is always within the scope of contemporary data protection legislations. As both terms derive from well established fundamental human rights...

Mobile sensing applications exploit big data to measure and assess human-behavioural modelling. However, big data profiling and automated decision practices, albeit powerful and pioneering, they are also highly unregulated and thereby unfair and intrusive. Their risk to privacy has been indeed identified as one of the biggest challenges faced by mo...

The enforcement of the GDPR on the 25th of May 2018 has caused prolonged controversy due to the severe impact on the processing of personal data under this new regulation. Of its provisions, the most radical and controversial one is the “Right to be Forgotten” (RtbF). In simple terms, the RtbF—along with the provisions for withdrawing consent—allow...

Modern technological advancements such as mobile ubiquitous computing and decentralized p2p networks rely on the collection, processing and sharing of vast amount of personal information which—when combined with big data and machine learning techniques—pose significant challenges to the rights of privacy and data protection. The GDPR, seeking to re...

Undeclared work is a complex and explicitly hidden socio-economic problem that can take various forms and its consequences are substantial to states, employees, and businesses. Thus, inspection authorities need to use their resources more effectively and cleverly to tackle this unlawful phenomenon successfully. This study presents the use of an adv...

Nowadays, the use of digital games for educational purposes becomes increasingly popular. The immersive environment of a digital game causes pleasant feelings to players motivating them to participate more actively in the learning process. However, there is a variety of educational games in terms of graphics and mechanics, and each player prefers t...

Social Media have become a tool for communication among people, the majority of whom belong to the younger generation. Hence, exploiting them in the educational field can promote communication and collaboration among students and instructors. Moreover, expanding them with more pedagogical tools, such as assessments and adaptivity, can improve furth...

Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way th...

Computer-supported approaches have been widely used for enriching the learning process. The technological advances have led tutoring systems to embody intelligence in their functionalities. However, so far, they fail to adequately incorporate intelligence and adaptivity in their diagnostic and reasoning mechanisms. In view of the above, this paper...