ConnectDots: Visualizing Social Network Interaction for Improved Social Decision Making
- Cite this paper as:
- Morrison D., Gooch B. (2007) ConnectDots: Visualizing Social Network Interaction for Improved Social Decision Making. In: Schuler D. (eds) Online Communities and Social Computing. OCSC 2007. Lecture Notes in Computer Science, vol 4564. Springer, Berlin, Heidelberg
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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