University of Kwazulu-Natal

Human Artificial Intelligence Ai Interaction Latest Mdpi

Bonisiwe Shabane
-
human artificial intelligence ai interaction latest mdpi

Correia, A.; Schneider, D.; Fonseca, B.; Kärkkäinen, T. Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects. Appl. Sci. 2025, 15, 12218. https://doi.org/10.3390/app152212218

Correia A, Schneider D, Fonseca B, Kärkkäinen T. Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects. Applied Sciences. 2025; 15(22):12218. https://doi.org/10.3390/app152212218 Correia, António, Daniel Schneider, Benjamim Fonseca, and Tommi Kärkkäinen.

2025. "Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects" Applied Sciences 15, no. 22: 12218. https://doi.org/10.3390/app152212218 Correia, A., Schneider, D., Fonseca, B., & Kärkkäinen, T. (2025).

Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects. Applied Sciences, 15(22), 12218. https://doi.org/10.3390/app152212218 You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader. All articles published by MDPI are made immediately available worldwide under an open access license.

No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess. Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal. You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader. All articles published by MDPI are made immediately available worldwide under an open access license.

No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess. Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal. This is a Reprint of the Special Issue Advances in Human-Machine Interaction, Artificial Intelligence, and Robotics that was published in The aim of the following reprint is to explore and showcase the recent advances and interdisciplinary approaches within the field of human–robot interaction (HRI) and artificial intelligence (AI). This reprint features a selection of distinguished studies, ranging from the development of new methodologies in co-manipulation using electromyography to innovative uses of augmented reality in museums.

It includes research that enhances human-AI communication, the adoption of Industry 4.0 technologies in education, and cutting-edge developments in defect detection in industrial settings. These contributions from global experts illuminate the multifaceted nature of technological progress in AI and robotics. By integrating diverse fields such as healthcare, manufacturing, and smart environments, this collection not only pushes the boundaries of current technology but also lays the groundwork for future innovations that could revolutionize our interaction... Each study within this reprint provides a forward-looking perspective on how these technologies can be further refined and effectively integrated into society to improve everyday life and operational efficiency. This reprint is a journey into the potential of HRI and AI to transform our world, ensuring that technology serves as a bridge to more intuitive, inclusive, and sustainable human experiences. Your research is the real superpower - learn how we maximise its impact through our leading community journals

People Also Search

Correia, A.; Schneider, D.; Fonseca, B.; Kärkkäinen, T. Human–Artificial Intelligence

Correia, A.; Schneider, D.; Fonseca, B.; Kärkkäinen, T. Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects. Appl. Sci. 2025, 15, 12218. https://doi.org/10.3390/app152212218

Correia A, Schneider D, Fonseca B, Kärkkäinen T. Human–Artificial Intelligence

Correia A, Schneider D, Fonseca B, Kärkkäinen T. Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects. Applied Sciences. 2025; 15(22):12218. https://doi.org/10.3390/app152212218 Correia, António, Daniel Schneider, Benjamim Fonseca, and Tommi Kärkkäinen.

2025. "Human–Artificial Intelligence (AI) Interaction: Latest Advances And Prospects" Applied

2025. "Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects" Applied Sciences 15, no. 22: 12218. https://doi.org/10.3390/app152212218 Correia, A., Schneider, D., Fonseca, B., & Kärkkäinen, T. (2025).

Human–Artificial Intelligence (AI) Interaction: Latest Advances And Prospects. Applied Sciences,

Human–Artificial Intelligence (AI) Interaction: Latest Advances and Prospects. Applied Sciences, 15(22), 12218. https://doi.org/10.3390/app152212218 You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader. All articles published by MDPI are made immediately available worldwide under an open access license.

No Special Permission Is Required To Reuse All Or Part

No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess. Feature papers represent ...