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The Semantics of Clustering: Analysis of User-generated Spatializations of Text Documents by Alex Endert; Seth Fox; Dipayan Maiti; Scotland Leman; Chris North is a scholarly article available to read on EtoBox.

What is The Semantics of Clustering: Analysis of User-generated Spatializations of Text Documents about?

Analyzing complex textual datasets consists of identifying connections and relationships within the data based on users' intuition and domain expertise. In a spatial workspace, users can do so implicitly by spatially arranging documents into clusters to convey similarity or relationships. Algorithms exist that spatialize and cluster such information mathematically based on similarity metrics. However, analysts often find inconsistencies in these generated clusters based on their expertise. Therefore, to support sensemaking, layouts must be co-created by the user and the model. In this paper, we present the results of a study observing individual users performing a sensemaking task in a spatial workspace. We examine the users' interactions during their analytic process, and also the clusters the users manually created. We found that specific interactions can act as valuable indicators of important structure within a dataset. Further, we analyze and characterize the structure of the user-generated clusters to identify useful metrics to guide future algorithms. Through a deeper understanding of how users spatially cluster information, we can inform the design of interactive algorithms

Author

Alex Endert; Seth Fox; Dipayan Maiti; Scotland Leman; Chris North

Publisher

ACM

Published

2012

Language

EN