Artificial Intelligence Methods for Human-Computer Interaction

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

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