Intelligent Applications of Human-Computer Interaction

Dear Colleagues,

Currently, human–computer interaction (HCI) is experiencing increasingly more challenges linked to the so-called third wave of artificial intelligence (AI) envisioning future AI systems powered by human-like learning, reasoning and knowledge-building capabilities in a context-aware manner. Since AI technologies, including computer vision, natural language processing, speech and gesture and face recognition, are rapidly advancing, there is an urgent need to understand and analyze the interplay between AI and HCI in order to define novel, more natural and efficient intelligent interaction paradigms and applications.

This Special Issue is dedicated to exploring current trends, research challenges and opportunities related to intelligent human–computer interaction from a twofold perspective. Firstly, the computational perspective, by investigating how to innovatively use artificial intelligence technologies for human–computer interaction issues, including creating more accessible, transparent, trustworthy and explainable intelligent device interactions and creating interactive intelligent systems for a user-friendly interaction. Secondly, the applicative perspective, by understanding how intelligent solutions for equipping technological devices with human communication skills can be applied to various human activity domains, including education, entertainment, security, finance, transportation, cultural heritage, smart cities and healthcare.

We call for original contributions from a wide range of cross-disciplinary and collaborative knowledge domains related to artificial intelligence and human–computer interaction, such as cognitive science, information science, computer science, ergonomics, psychology, linguistics and social science.

Topics of interest include (but are not limited to):

• Interactive applications implementing natural and efficient intelligent interaction paradigms;
• Enhanced HCI applications applying human-centered/interactive machine learning, human-in-the-loop AI, human–AI collaboration, human-controlled autonomy and responsible AI;
• Deep-learning methods for human–machine interaction;
• Adaptivity, context sensitivity and task assistance for AI-powered user interaction;
• Multimodal interaction and further interaction paradigms for intelligent interactive systems;
• Intelligent interaction in various applications, such as intelligent decision systems, autonomous vehicles, intelligent robots and smart speakers;
• Intelligent interactive systems implementing ethical AI design for accessible, transparent, trustworthy and explainable AI.

Dr. Arianna D'Ulizia
Dr. Patrizia Grifoni
Dr. Fernando Ferri
Guest Editors

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• human–computer interaction
• intelligent interactive systems
• AI-powered interaction
• ethical AI design
• human-centered machine learning