Intelligent Object Group Selection Misc

Hoda Dehmeshki, Wolfgang Stuerzlinger


Current object group selection techniques such as lasso or rectangle selection can be time consuming and error prone. This is apparent when selecting distant objects on a large display or objects arranged along curvilinear paths in a dense area. We present a novel group selection technique based on the Gestalt principles of proximity and good continuity. The results of a user study show that our new technique outperforms lasso and rectangle selection for object groups in(curvi)linear arrangements or clusters, i.e. groups with an implicit structure.

Date of publication: Apr - 2008
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