Tag: HumanMachine

  • Human-Machine Reconfigurations: Plans and Situated Actions (Learning in Doing: Social, Cognitive and Computational Perspectives)

    Human-Machine Reconfigurations: Plans and Situated Actions (Learning in Doing: Social, Cognitive and Computational Perspectives)


    Price: $44.99
    (as of Dec 25,2024 14:16:05 UTC – Details)




    Publisher ‏ : ‎ Cambridge University Press; 2nd edition (December 4, 2006)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 328 pages
    ISBN-10 ‏ : ‎ 052167588X
    ISBN-13 ‏ : ‎ 978-0521675888
    Reading age ‏ : ‎ 1 year and up
    Item Weight ‏ : ‎ 15.5 ounces
    Dimensions ‏ : ‎ 6 x 0.74 x 9 inches


    In this post, we will explore the concept of human-machine reconfigurations and how they are influenced by plans and situated actions. Drawing on insights from the book “Learning in Doing: Social, Cognitive and Computational Perspectives,” we will delve into the dynamic interactions between humans and machines in various contexts.

    The term “human-machine reconfigurations” refers to the continuous adjustments and adaptations made by individuals as they engage with technological systems. This process involves not only the physical manipulation of machines but also the cognitive and social aspects of human-machine interactions.

    Plans play a crucial role in shaping human-machine reconfigurations. They provide a framework for organizing actions and goals, guiding individuals in their interactions with machines. However, plans are not static entities but are constantly revised and updated in response to changing circumstances.

    Situated actions, on the other hand, refer to the immediate, context-specific behaviors that individuals perform in relation to machines. These actions are influenced by factors such as the task at hand, the environment, and social norms. Situated actions can either reinforce or disrupt existing plans, leading to new configurations of human-machine interactions.

    The book “Learning in Doing: Social, Cognitive and Computational Perspectives” offers valuable insights into how humans learn to interact with machines through a combination of cognitive processes, social influences, and computational mechanisms. By examining real-world examples of human-machine reconfigurations, the book sheds light on the complex dynamics at play in our increasingly technologically mediated world.

    Overall, understanding the interplay between plans and situated actions in human-machine interactions can help us design more effective and user-friendly technological systems. By taking into account the cognitive, social, and computational perspectives outlined in the book, we can create a more harmonious relationship between humans and machines, leading to more efficient and satisfying interactions for all involved.
    #HumanMachine #Reconfigurations #Plans #Situated #Actions #Learning #Social #Cognitive #Computational #Perspectives

  • Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge)

    Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge)


    Price: $34.95 – $18.60
    (as of Dec 24,2024 12:42:25 UTC – Details)



    Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge)

    In today’s fast-paced world, businesses are constantly looking for ways to innovate and stay ahead of the competition. One of the most exciting developments in recent years has been the integration of artificial intelligence (AI) into various aspects of business operations. From customer service chatbots to predictive analytics, AI is revolutionizing the way companies do business.

    But what does this mean for managers and employees? How can humans effectively collaborate with machines to maximize efficiency and productivity? In this post, we will explore real stories of human-machine collaboration in the workplace and highlight the key lessons learned from these experiences.

    One example of successful human-machine collaboration is in the field of healthcare. Hospitals and healthcare providers are increasingly using AI-powered tools to assist with diagnosis, treatment planning, and patient care. By working alongside AI systems, doctors and nurses are able to make more accurate and timely decisions, ultimately leading to better outcomes for patients.

    Another example comes from the finance industry, where AI algorithms are being used to analyze vast amounts of data and make investment recommendations. While AI can process data at a speed and scale that is impossible for humans to match, it still requires human oversight to ensure that decisions are aligned with the company’s goals and values.

    Overall, the key to successful human-machine collaboration lies in finding the right balance between automation and human judgment. By leveraging the strengths of both humans and machines, companies can unlock new opportunities for innovation and growth.

    Are you ready to embrace the future of work and harness the power of AI in your organization? Stay tuned for more real stories and insights on how to effectively manage human-machine collaboration on the cutting edge of technology.
    #Working #Real #Stories #HumanMachine #Collaboration #Management #Cutting #Edge

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