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

Rhys Tague, Anthony Maeder, Jim Basilakis

Research output: Chapter in Book / Conference PaperConference Paperpeer-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, ICMT 2015, Sydney, Australia, 28-29 March 2015
PublisherCRC Press
Pages165-169
Number of pages5
ISBN (Print)9781138027947
Publication statusPublished - 2015
EventInternational Conference on Multimedia Technology -
Duration: 28 Mar 2015 → …

Conference

ConferenceInternational Conference on Multimedia Technology
Period28/03/15 → …

Keywords

  • mobile computing
  • online social networks
  • social media
  • user behavior

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