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Books on the topic 'Human-machine collaboration'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Bhattacharyya, Siddhartha, Mario Koeppen, Debashis De, and Vincenzo Piuri, eds. Intelligent Systems and Human Machine Collaboration. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8477-8.

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2

Goh, Dion H., Shu-Jiun Chen, and Suppawong Tuarob, eds. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8085-7.

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3

Goh, Dion H., Shu-Jiun Chen, and Suppawong Tuarob, eds. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8088-8.

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4

Intelligent Human-Machine Collaboration. National Academies Press, 2012. http://dx.doi.org/10.17226/13479.

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5

Chiang, Ethan N., Policy and Global Affairs, National Research Council, Patricia S. Wrightson, and Board on Global Science and Technology. Intelligent Human-Machine Collaboration: Summary of a Workshop. National Academies Press, 2012.

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6

Chiang, Ethan N., Policy and Global Affairs, National Research Council, Patricia S. Wrightson, and Board on Global Science and Technology. Intelligent Human-Machine Collaboration: Summary of a Workshop. National Academies Press, 2012.

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7

Chiang, Ethan N., Policy and Global Affairs, National Research Council, Patricia S. Wrightson, and Board on Global Science and Technology. Intelligent Human-Machine Collaboration: Summary of a Workshop. National Academies Press, 2012.

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8

Intelligent Human-Machine Collaboration: Summary of a Workshop. National Academies Press, 2012.

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9

Augmented Intelligence: The Business Power of Human-Machine Collaboration. Auerbach Publishers, Incorporated, 2019.

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10

Henry, Morris, Judith Hurwitz, Daniel Kirsch, and Candace Sidner. Augmented Intelligence: The Business Power of Human-Machine Collaboration. Auerbach Publishers, Incorporated, 2019.

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11

Working with AI: Real Stories of Human-Machine Collaboration. MIT Press, 2022.

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12

Kumar, Nitendra, Surya Kant Pal, and Priyanka Agarwal. Human-Machine Collaboration and Emotional Intelligence in Industry 5. 0. IGI Global, 2024.

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13

Moring, Andreas. AI on the Job: Guide to Successful Human-Machine Collaboration. Springer Berlin / Heidelberg, 2022.

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14

Kumar, Nitendra, Surya Kant Pal, and Priyanka Agarwal. Human-Machine Collaboration and Emotional Intelligence in Industry 5. 0. IGI Global, 2024.

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15

Kumar, Nitendra, Surya Kant Pal, and Priyanka Agarwal. Human-Machine Collaboration and Emotional Intelligence in Industry 5. 0. IGI Global, 2024.

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16

Kumar, Nitendra, Surya Kant Pal, and Priyanka Agarwal. Human-Machine Collaboration and Emotional Intelligence in Industry 5. 0. IGI Global, 2024.

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17

Kumar, Nitendra, Surya Kant Pal, and Priyanka Agarwal. Human-Machine Collaboration and Emotional Intelligence in Industry 5. 0. IGI Global, 2024.

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18

Grinter, Odis. Future of Machine Consciousness : How Humans and AI Work Together: Collaboration of Machine-Human. Independently Published, 2021.

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19

Bhattacharyya, Siddhartha, Debashis De, Mario Koeppen, and Vincenzo Piuri. Intelligent Systems and Human Machine Collaboration: Select Proceedings of ICISHMC 2022. Springer, 2023.

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20

Nitsch, Verena, Dirk Lüttgens, Sebastian Pütz, Frank T. Piller, and Alexander Mertens. Forecasting Next Generation Manufacturing: Digital Shadows, Human-Machine Collaboration, and Data-Driven Business Models. Springer International Publishing AG, 2022.

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21

Forecasting Next Generation Manufacturing: Digital Shadows, Human-Machine Collaboration, and Data-Driven Business Models. Springer International Publishing AG, 2023.

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22

Leong, Wai Yie, ed. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/pbce132e.

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23

Leong, Wai Yie. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, Robotics, Sensing, Artificial Intelligence, 5G, Iots and Blockchain. Institution of Engineering & Technology, 2022.

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24

Leong, Wai Yie. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, Robotics, Sensing, Artificial Intelligence, 5G, Iots and Blockchain. Institution of Engineering & Technology, 2022.

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25

Goh, Dion H., Shu-Jiun Chen, and Suppawong Tuarob. Leveraging Generative Intelligence in Digital Libraries : Towards Human-Machine Collaboration: 25th International Conference on Asian Digital Libraries, ICADL 2023, Taipei, Taiwan, December 4-7, 2023, Proceedings, Part I. Springer, 2023.

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26

Goh, Dion H., Shu-Jiun Chen, and Suppawong Tuarob. Leveraging Generative Intelligence in Digital Libraries : Towards Human-Machine Collaboration: 25th International Conference on Asian Digital Libraries, ICADL 2023, Taipei, Taiwan, December 4-7, 2023, Proceedings, Part II. Springer, 2023.

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27

Manuel Brito, Sílvio, ed. Toward Super-Creativity - Improving Creativity in Humans, Machines, and Human - Machine Collaborations. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.73466.

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28

Brito, Sílvio Manuel. Toward Super-Creativity: Improving Creativity in Humans, Machines, and Human - Machine Collaborations. IntechOpen, 2020.

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29

Davenport, Thomas H., and Steven M. Miller. Working with AI. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14453.001.0001.

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Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings. This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, m

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30

Mohanty, Soumendra. How to Compete in the Age of Artificial Intelligence: Implementing a Collaborative Human-Machine Strategy for Your Business. Apress, 2018.

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31

Eidsheim, Nina Sun, and Katherine Meizel, eds. The Oxford Handbook of Voice Studies. Oxford University Press, 2019. http://dx.doi.org/10.1093/oxfordhb/9780199982295.001.0001.

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More than two hundred years after the first speaking machine, we are accustomed to voices talking from seemingly anywhere and everywhere, including house alarm systems, cars, telephones, and digital assistants, or “smart speakers” such as Alexa and Google Home. However, vocal events still have the capacity to raise age-old questions regarding the human, the animal, the machine, and the spiritual—or in nonmetaphysical terms, questions about identity and authenticity. Individuals and groups perform, refuse, and play identity through vocal acts and by listening to and for voice. In this volume, l

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32

Hordern, Joshua. Compassion in Healthcare. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198790860.001.0001.

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This book gives an account of the nature and content of compassion and its role in healthcare. The argument considers how and why contested beliefs about political life, suffering, the human condition, time, and responsibility make a difference to ‘compassion’. While compassion appears to be a straightforward aspect of life and practice, the appearance is deceptive. Compassion is plagued by both conceptual and practical ills and needs some quite specific kinds of therapy. The first step therefore is to diagnose precisely what is wrong with ‘compassion’ including its debilitating political enta

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