Reprint

Human and Artificial Intelligence

Edited by
January 2024
284 pages
  • ISBN978-3-0365-9873-4 (Hardback)
  • ISBN978-3-0365-9874-1 (PDF)

This book is a reprint of the Special Issue Human and Artificial Intelligence that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

Although tremendous advances have been made in recent years, many real-world problems still cannot be solved by machines alone. Hence, the integration of Human Intelligence and Artificial Intelligence is needed. However, several challenges make this integration complex. The aim of this Special Issue was to provide a large and varied collection of high-level contributions presenting novel approaches and solutions to address the above issues. This Special Issue contains 14 papers (13 research papers and 1 review paper) that deal with various topics related to human–machine interactions and cooperation. Most of these works concern different aspects of recommender systems, which are among the most widespread decision support systems. The domains covered range from healthcare to movies and from biometrics to cultural heritage. However, there are also contributions on vocal assistants and smart interactive technologies. In summary, each paper included in this Special Issue represents a step towards a future with human–machine interactions and cooperation. We hope the readers enjoy reading these articles and may find inspiration for their research activities.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
human-computer interaction; human-machine cooperation; user-centered artificial intelligence; explainable decision support systems; human factors in artificial intelligence; conversational assistants; human behavior analysis; personalized systems; user modeling; user experience; machine learning; deep neural networks; recommender systems; smart interactive technologies; collaborative filtering; personality prediction; healthcare; computer vision; biometrics; visual dialog; adversarial detection; fairness; query reformulation 

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