IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-40232-7_41.html
   My bibliography  Save this book chapter

AI in Vocational Rehabilitation—Intelligent Assistance for People with Disabilities

In: Work and AI 2030

Author

Listed:
  • Berit Blanc

    (Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI))

  • Rolf Feichtenbeiner

    (Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI))

  • Susan Beudt

    (Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI))

  • Niels Pinkwart

    (Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI))

Abstract

The use and long-term utilisation of AI-supported assistive systems in vocational rehabilitation can offer great potential to improve the participation of persons with disabilities in working life. A prerequisite is the availability of market-ready intelligent assistive technologies that generate personal benefits for persons with diverse disabilities and can be used by companies with low effort. The diffusion of these technologies can succeed if the assistance potential of AI technologies is explained and AI-supported assistive technologies are developed and introduced in a demand-oriented and participatory way. It is also important that access for persons with disabilities to these technologies is ensured, competencies for their use are promoted, and continuous further development and support for their use are ensured.

Suggested Citation

  • Berit Blanc & Rolf Feichtenbeiner & Susan Beudt & Niels Pinkwart, 2023. "AI in Vocational Rehabilitation—Intelligent Assistance for People with Disabilities," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 373-381, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_41
    DOI: 10.1007/978-3-658-40232-7_41
    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:sprchp:978-3-658-40232-7_41. 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.