Human and Artificial Intelligence

Dear Colleagues,

In recent years, significant advances have been made toward the realization of General Artificial Intelligence, especially in the Machine Learning (ML) (e.g., Deep Learning) domain. Several real-world tasks, however, cannot yet be solved by machines alone. Systems are hence needed that rely on the integration of Human and Artificial Intelligence to solve the most complex problems. In many academic and industrial intelligent agents, communication between humans and computers is a key factor. Many challenges, however, can hinder successful cooperation between the two actors. ML algorithms, for instance, fail to provide explanations for their actions, while human cognitive overload and human out-of-the-loop syndrome may result in lower performance.

The goal of this Special Issue is to supply a varied and thorough collection of high-quality contributions that present emerging approaches and applications focused on human–machine collaboration and cooperation.

Our intent is to foster successful research, highlighting new methods and frameworks that may inspire researchers to achieve even better findings.

Topics of interest include but are not limited to the following:

• New technologies and frameworks that support human–machine interaction and human–machine collaborative intelligence;
• Machine learning (e.g., deep learning) to understand human behavior;
• Explainable Artificial Intelligence;
• Human factors in Artificial Intelligence;
• Human teaming with autonomous systems;
• Situation-aware intelligent systems;
• Artificial intelligence for cyberphysical–social systems;
• Emotion Artificial Intelligence (e.g., sentiment analysis);
• Brain–computer modeling for human–machine cooperation;
• Decision support systems in different domains (e.g., logistics, smart factory, healthcare);
• Personalized systems (e.g., user profiling, e-learning, recommender systems).

Prof. Dr. Alessandro Micarelli
Dr. Giuseppe Sansonetti
Dr. Giuseppe D’Aniello
Guest Editors

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