IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-319-73546-7_6.html
   My bibliography  Save this book chapter

Socializing with Robots

In: Knowledge Management in Digital Change

Author

Listed:
  • Anja Richert

    (RWTH Aachen University)

Abstract

The term Industry 4.0 symbolizes new forms of technology and artificial intelligence, which will soon be embedded within production technologies. Smart robots are the game changers within smart factories, and they will work with humans in indispensable teams within the value chain. With this fourth industrial revolution, classical production lines are going through comprehensive modernization, which is commonly oriented to in-the-box manufacturing. Humans and machines will work side by side in so-called “hybrid teams.” Thus, the success of these future production concepts will strongly depend on the successful implementation of direct cooperation between humans and robots. Hybrid teams will, more than ever, support demographic and diverse team structures. The difficulties behind physical limitations of workers are already being compensated through human-robot-cooperation, for example, through robots assisting with heavy lifting or physical duties. As a step further, robots should be able to identify and adapt to individual strengths and weaknesses and take over the role of a workmate, helping to construct knowledge in social, teamwork-oriented processes. What is necessary to change the role of a robot from a tool to a workmate? Can appearance and behaviour of the robot influence the team building processes? This chapter seeks to blend human demands of communication and cooperation in teams with empirical results of an experiment in a virtual factory of the future. The empirical study researches if the appearance of the robot and its behaviour influences the reception of the robot as a partner and the human cooperation behaviour, for instance, in terms of a shared understanding.

Suggested Citation

  • Anja Richert, 2018. "Socializing with Robots," Progress in IS, in: Klaus North & Ronald Maier & Oliver Haas (ed.), Knowledge Management in Digital Change, pages 97-110, Springer.
  • Handle: RePEc:spr:prochp:978-3-319-73546-7_6
    DOI: 10.1007/978-3-319-73546-7_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prochp:978-3-319-73546-7_6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.