ConnectDots: Visualizing Social Network Interaction for Improved Social Decision Making

  • Deidra Morrison
  • Bruce Gooch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4564)


There has been a fairly large body of research surrounding decision making theory and ways in which choice framing and judgment are major contributing factors to decision outcome and future practice. The purpose of this study is to use abstract visual stimulus as an application for information organization and display, in order to aid in decision making practices. In this paper, we will introduce ConnectDots, a visualization tool that will allow users to be able to view this large data set of interaction information and more easily perceive the patterns of interaction therein. With this information, a person can also become more aware of their current decision making practices for their social network, and observe how their relationships are affected.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Deidra Morrison
    • 1
  • Bruce Gooch
    • 2
  1. 1.Northwestern University, 2133 N. Sheridan Rd. Suite 3-209, Evanston, IL 60208USA
  2. 2.University of Victoria, EECS Bldg. Rm 504, P.O. Box 3055 STNCSC, Victoria, B.C V8W3P6Canada

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