Special Issue "Interactive Artificial Intelligence and Man-Machine Communication"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 15 April 2022.

Special Issue Editors

Dr. Christos Troussas
E-Mail Website
Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, Agiou Spiridonos 28, 12243 Egaleo, Greece
Interests: personalized software technology; human–computer interaction; intelligent and adaptive systems; user modeling
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Cleo Sgouropoulou
E-Mail Website1 Website2
Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, Egaleo 12244, Greece
Interests: e-learning; open educational resources (OER); learning outcomes; competence and skill modeling for strengthening LLL; mobility and training to employment pathways; open data and analytics for e-research
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Dr. Akrivi Krouska
E-Mail Website
Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, Agiou Spiridonos 28, Egaleo 12243, Greece
Interests: social networking services; sentiment analysis; learning analytics; user modeling; artificial intelligence in education
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Prof. Dr. Ioannis Voyiatzis
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Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, 12244 Egaleo, Greece
Interests: functionality; organization and implementation of computer systems
Prof. Dr. Athanasios Voulodimos
E-Mail Website
Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, Agiou Spiridonos 28, 122 43 Egaleo, Greece
Interests: machine learning; artificial intelligence; multimedia; intelligent systems; pervasive computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Interactive artificial intelligence is based on the perception that human intelligence is characterized by interactivity. Many of the fascinating and core research issues in artificial intelligence involve topics where the aim of smart and adaptive systems is to interact with people on their own terms. Indeed, in this digital era, digital systems are growing at an unprecedented rate. The wishes of users for interacting with tailored content are ever increasing. This means that users are seeking intelligent software with greatly individualized user experiences (UXs), not only adaptive user interfaces (UIs). Therefore, the need for redefining traditional system development is of utmost importance. As such, incorporating sophisticated mechanisms into the development of robust systems, demonstrating the usefulness of this way of thinking, and into the development of fundamental algorithms, for disruptive technological features adjusted to human needs, is relevant. Such systems can exhibit a high degree of intelligent man–machine communication and UXs, user-centric features, and intelligence in their reasoning and diagnostic mechanisms. In recent decades, research efforts have focused on promoting man–machine communication and interactive artificial intelligence. In spite of the increased research interest, there is still room for further research into the directions of man–machine communication, interactivity and artificial intelligence.

This Special Issue is soliciting original research papers as well as review articles and short communications in the aforementioned areas. The topics of interest include, but are not limited to, the following:

  • Human–computer interaction;
  • Personalization and adaptivity in systems and services;
  • Machine/deep/reinforcement learning;
  • Collaborative and group work, communities of practice and social networks;
  • Immersive and virtual reality environments;
  • Ubiquitous, mobile and cloud environments;
  • Adaptive support for navigation, models of users, diagnosis, reasoning and feedback;
  • The modeling of motivation, metacognition and affect aspects;
  • Affective computing;
  • Applications of machine learning to addressing real-world problems.

Dr. Christos Troussas 
Dr. Akrivi Krouska 
Prof. Dr. Cleo Sgouropoulou 
Prof. Dr. Ioannis Voyiatzis
Prof. Dr. Athanasios Voulodimos
Guest Editors

Keywords

  • man-machine communication
  • interactive artificial intelligence
  • personalized software development
  • adaptive and interactive systems and services
  • user modeling

Published Papers (1 paper)

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Research

Article
Improving Learner-Computer Interaction through Intelligent Learning Material Delivery Using Instructional Design Modeling
Entropy 2021, 23(6), 668; https://0-doi-org.brum.beds.ac.uk/10.3390/e23060668 - 26 May 2021
Cited by 7 | Viewed by 878
Abstract
This paper describes an innovative and sophisticated approach for improving learner-computer interaction in the tutoring of Java programming through the delivery of adequate learning material to learners. To achieve this, an instructional theory and intelligent techniques are combined, namely the Component Display Theory [...] Read more.
This paper describes an innovative and sophisticated approach for improving learner-computer interaction in the tutoring of Java programming through the delivery of adequate learning material to learners. To achieve this, an instructional theory and intelligent techniques are combined, namely the Component Display Theory along with content-based filtering and multiple-criteria decision analysis, with the intention of providing personalized learning material and thus, improving student interaction. Until now, the majority of the research efforts mainly focus on adapting the presentation of learning material based on students’ characteristics. As such, there is free space for researching issues like delivering the appropriate type of learning material, in order to maintain the pedagogical affordance of the educational software. The blending of instructional design theories and sophisticated techniques can offer a more personalized and adaptive learning experience to learners of computer programming. The paper presents a fully operating intelligent educational software. It merges pedagogical and technological approaches for sophisticated learning material delivery to students. Moreover, it was used by undergraduate university students to learn Java programming for a semester during the COVID-19 lockdown. The findings of the evaluation showed that the presented way for delivering the Java learning material surpassed other approaches incorporating merely instructional models or intelligent tools, in terms of satisfaction and knowledge acquisition. Full article
(This article belongs to the Special Issue Interactive Artificial Intelligence and Man-Machine Communication)
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