IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v48y1997i11p1049-1066.html
   My bibliography  Save this article

Writing with collaborative hypertext: Analysis and modeling

Author

Listed:
  • Chaomei Chen

Abstract

This work explores a novel approach to the analysis and modeling of computer supported collaborative writing. The aim of this dynamic modeling approach is to capture the structure of user behavior as they interact with a computer system. Markov chains models are derived from the empirical data on the use of the system. These models are compared so as to highlight how the dynamic structure of collaborative writing is affected by factors such as the level of users' experience with the system and workspaces for different writing projects. A workspace is associated with a collaborative writing project in terms of both its structure and content. The study shows that the patterns of interactive behaviors of the users were clearly influenced by the system design. Users' experience and workspaces both significantly affected the structure of interactive behaviors in collaborative writing. Users intensively used the system for exploration, organization, and composition tasks in collaborative writing, whereas the use of collaboration facilities of the system was transient in nature. The descriptive‐prescriptive nature of the approach has the advantage of reducing the complexity of computer supported collaborative writing down to a more manageable level at which investigators can concentrate more directly on the essence of the dynamics. The experience from the study suggests that this approach is worth pursuing, and it may be fruitfully generalized by integrating with other process modeling techniques and the mainstream practice of software engineering. © 1997 John Wiley & Sons, Inc.

Suggested Citation

  • Chaomei Chen, 1997. "Writing with collaborative hypertext: Analysis and modeling," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(11), pages 1049-1066, November.
  • Handle: RePEc:bla:jamest:v:48:y:1997:i:11:p:1049-1066
    DOI: 10.1002/(SICI)1097-4571(199711)48:113.0.CO;2-W
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1097-4571(199711)48:113.0.CO;2-W
    Download Restriction: no

    File URL: https://libkey.io/10.1002/(SICI)1097-4571(199711)48:113.0.CO;2-W?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:bla:jamest:v:48:y:1997:i:11:p:1049-1066. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.