Many on-line interaction environments have a large number of users. It is difficult for the participants, especially new ones, to form a clear mental image about those with whom they are interacting. How can we compactly convey information about these participants to each other? We propose the data portrait, a novel graphical representation of users based on their past interactions. Data portraits can inform users about each other and the overall social environment. We use a flower metaphor for creating individual data portraits, and a garden metaphor for combining these portraits to represent an on-line environment. We will review previous work in visualizing both individuals and groups. We will then describe our visualizations, explain how to create them, and show how they can be used to address user questions.
Rebecca Xiong, Judith S. Donath