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      Design and Evaluation of a Perceptual-Based Object Group Selection Technique

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      Proceedings of HCI 2010 (HCI)

      Human Computer Interaction

      6 - 10 September 2010

      Eye-tracking, awareness tools, machine learning, coordination, expertise

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          Abstract

          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.

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          Most cited references 10

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          A Multi-parameter Approach to Automated Building Grouping and Generalization

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            Pen-based interaction techniques for organizing material on an electronic whiteboard

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              Sloppy selection: Providing an accurate interpretation of imprecise selection gestures

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                Author and article information

                Contributors
                Conference
                September 2010
                September 2010
                : 365-373
                Affiliations
                York Univeristy

                Toronto, Ontario, Canada.
                Article
                10.14236/ewic/HCI2010.43
                © Hoda Dehmeshki et al. Published by BCS Learning and Development Ltd. Proceedings of HCI 2010, University of Abertay, Dundee, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of HCI 2010
                HCI
                24
                University of Abertay, Dundee, UK
                6 - 10 September 2010
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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