IDEAS home Printed from https://ideas.repec.org/a/igg/jdst00/v5y2014i2p31-43.html
   My bibliography  Save this article

A Context-Aware Framework for Collaborative Activities in Pervasive Communities

Author

Listed:
  • Christopher Lima

    (Universidade de Aveiro, Instituto de Telecomunicações, Aveiro, Portugal)

  • Mário Antunes

    (Universidade de Aveiro, Instituto de Telecomunicações, Aveiro, Portugal)

  • Diogo Gomes

    (Universidade de Aveiro, Instituto de Telecomunicações, Aveiro, Portugal)

  • Rui Aguiar

    (Universidade de Aveiro, Instituto de Telecomunicações, Aveiro, Portugal)

  • Telma Mota

    (Portugal Telecom Inovação, Aveiro, Portugal)

Abstract

Pervasive environments involve the interaction of users with the objects that surround them and also other participants. In this way, pervasive communities can lead the user to participate beyond traditional pervasive spaces, enabling the cooperation among groups taking into account not only individual interests, but also the collective and social context. In this study, the authors explore the potential of using context-aware information in CSCW application in order to support collaboration in pervasive environments. In particular this paper describes the approach used in the design and development of a context-aware framework utilizing users' context information interpretation for behaviour adaptation of collaborative applications in pervasive communities.

Suggested Citation

  • Christopher Lima & Mário Antunes & Diogo Gomes & Rui Aguiar & Telma Mota, 2014. "A Context-Aware Framework for Collaborative Activities in Pervasive Communities," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 5(2), pages 31-43, April.
    • Handle: RePEc:igg:jdst00:v:5:y:2014:i:2:p:31-43
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijdst.2014040103
    Download Restriction: no
    ---><---

    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:igg:jdst00:v:5:y:2014:i:2:p:31-43. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.