Classifying collaborative behavior in the form of behavioral stereotypes in collaborative mobile applications

Rhys Tague, Anthony Maeder, Jim Basilakis

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Online Social networks empower users to collaborate with other users through complex interfaces. They enable users to take on various behaviors to achieve an objective or goal together. However, with the rise of smart devices and their small view ports these interfaces have been restricted. This results in the user having to wait until they have access to a desktop version before they can interact with these complex interfaces again. This paper presents a framework for classifying collaborative behavior in the form of Behavioral Stereotypes. In addition it presents initial results of a implementation of the framework in a collaborative mobile application to demonstrate its ability to help understand user behavior and how it changes from social ties users establish.

    Original languageEnglish
    Title of host publicationMultimedia Technology IV - Proceedings of the 4th International Conference on Multimedia Technology
    EditorsAly A. Farag, Jian Yang, Feng Jiao
    PublisherCRC Press
    Pages165-169
    Number of pages5
    Edition1st
    ISBN (Electronic)9781138027947
    ISBN (Print)9781138027947
    DOIs
    Publication statusPublished - 2015

    Publication series

    NameMultimedia Technology IV - Proceedings of the 4th International Conference on Multimedia Technology

    Keywords

    • Classifying behaviour
    • Collaborative envrionment
    • Mobile computing
    • User modelling

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