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Hoda Dehmeshki

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Publications by Hoda Dehmeshki (bibliography)

2010

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Dehmeshki, Hoda and Stuerzlinger, Wolfgang (2010): Design and evaluation of a perceptual-based object group selection technique. In: Proceedings of the HCI10 Conference on People and Computers XXIV 2010. pp. 365-373.

“Selecting groups of objects is a frequent task in graphical user interfaces since it precedes all manipulation operations. Current selection techniques such as lasso become time-consuming and error-prone in dense configurations or when the area covered by targets is large or hard to reach. Perceptual-based selection techniques can considerably improve the selection task when the targets have a perceptual structure, driven by Gestalt principles of proximity and good continuity. However, current techniques use ad hoc grouping algorithms that often lack evidence from perception science. Moreover, they do not allow selecting arbitrary groups (i.e. without a perceptual structure) or modifying a selection. This paper presents a domain-independent perceptual-based selection technique that addresses these issues. It is built upon an established group detection model from perception research and provides intuitive interaction techniques for selecting (whole or partial) groups with curvilinear or random structures. Our user study shows that this technique not only outperforms rectangle selection and lasso techniques when targets have perceptual structure, but also it is competitive when targets have arbitrary arrangements.”

2008

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Dehmeshki, Hoda and Stuerzlinger, Wolfgang (2008): Intelligent object group selection. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 3111-3116.

“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.”

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