Intelligent Object Group Selection Misc

Hoda Dehmeshki, Wolfgang Stuerzlinger

Abstract:

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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