IDEAS home Printed from https://ideas.repec.org/a/ids/ijkbde/v1y2010i4p346-360.html
   My bibliography  Save this article

WearIT@work: a wearable computing solution for knowledge-based development

Author

Listed:
  • Edna Pasher
  • Zvika Popper
  • Hadas Raz
  • Michael Lawo

Abstract

This paper describes a project, funded by the European Union, which is focused on research and development of wearable computing in seven different work environments. One scenario that was chosen for a more detailed description was the production scenario, in which blue collar workers were empowered by advanced technology proved to be a good example for the potential of knowledge-based development even on the production floor. Another aspect that is highlighted here is the fact that this large project was conducted with a full engagement of the end-users – a methodology named: 'user centred design' (UCD) or a 'living laboratory'. Another important aspect for knowledge-based development is the notion that change can happen only if all stakeholders are involved.

Suggested Citation

  • Edna Pasher & Zvika Popper & Hadas Raz & Michael Lawo, 2010. "WearIT@work: a wearable computing solution for knowledge-based development," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 1(4), pages 346-360.
    • Handle: RePEc:ids:ijkbde:v:1:y:2010:i:4:p:346-360
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=38043
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thuy Duong Oesterreich & Frank Teuteberg, 2018. "Why one big picture is worth a thousand numbers: measuring intangible benefits of investments in augmented reality based assistive technology using utility effect chains and system dynamics," Information Systems and e-Business Management, Springer, vol. 16(2), pages 407-441, May.
    2. Xiang T. R. Kong & Hao Luo & George Q. Huang & Xuan Yang, 2019. "Industrial wearable system: the human-centric empowering technology in Industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2853-2869, December.

    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:ids:ijkbde:v:1:y:2010:i:4:p:346-360. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=354 .

    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.