Artificial Cognition for Human-Robot Interaction

Dear Colleagues,

“Artificial Cognition for Human–Robot Interactions” is becoming increasingly important for engineers, developers, researchers, and practitioners. For a robotic system, the ability to “act like a human” plays a crucial role when it comes to interacting with humans who are operating them (the users) or who are around them. Artificial cognition plays an important role in making human–robot interactions coherent, from the data collected in a complex environment to interacting with users to successfully complete a task. Thus, while designing robotic/computer systems, the level of human cognition and the mental model of the human should still be considered.

This Special Issue on "Artificial Cognition for Human–Robot Interactions" will focus on the development and application of artificial cognition technologies in the context of human–robot interactions. This could include artificial intelligence, machine learning, affective computing, and other cognitive computing techniques to enable robots to understand, learn from, and interact with humans in a more natural and intuitive way.

The scope of the Special Issue will cover a wide range of topics related to the development and application of artificial cognition technologies for human–robot interactions. This includes, but is not limited to:

• The design and implementation of artificial cognition algorithms and systems that enable robots to understand and interpret human behavior, emotions, and intentions;
• The design and implementation of robotic systems exploiting artificial intelligence paradigms to assist and guide humans in performing tasks where lack of perception might result in a challenge, keeping humans in the loop;
• The use of artificial cognition technologies that enable robots to learn from human-human interactions and adapt to their behavior accordingly;
• The effectiveness and acceptability of artificial cognition technologies in human-robot interactions, including how these technologies are perceived and used by humans in real-world settings;
• The ethical, social, and psychological impacts of artificial cognition in human-robot interactions, including considerations of privacy, bias, and trust;
• The development and evaluation of artificial cognition technologies for specific applications of human–robot interactions, such as education, healthcare, and entertainment.

This Special Issue will bring together manuscripts from different application fields and focus on the development of artificial cognition technologies for human–robot interactions. The aim is to advance our understanding of how artificial cognition can be used to improve the effectiveness and acceptability of human–robot interactions in a variety of contexts and to identify key challenges and opportunities for further research in this field.

Dr. Anil Ufuk Batmaz
Dr. Fabio Stroppa
Dr. Mine Sarac Stroppa
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.