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Generalized selection via interactive query relaxation

Published: 06 April 2008 Publication History

Abstract

Selection is a fundamental task in interactive applications, typically performed by clicking or lassoing items of interest. However, users may require more nuanced forms of selection. Selecting regions or attributes may be more important than selecting individual items. Selections may be over dynamic items and selections might be more easily created by relaxing simpler selections (e.g., "select all items like this one"). Creating such selections requires that interfaces model the declarative structure of the selection, not just individually selected items. We present direct manipulation techniques that couple declarative selection queries with a query relaxation engine that enables users to interactively generalize their selections. We apply our selection techniques in both information visualization and graphics editing applications, enabling generalized selection over both static and dynamic interface objects. A controlled study finds that users create more accurate selection queries when using our generalization techniques.

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    cover image ACM Conferences
    CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2008
    1870 pages
    ISBN:9781605580111
    DOI:10.1145/1357054
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 06 April 2008

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    Author Tags

    1. annotation
    2. information visualization
    3. input techniques
    4. pointing
    5. query relaxation
    6. reference
    7. selection

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    CHI '08 Paper Acceptance Rate 157 of 714 submissions, 22%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (2024)Bluefish: Composing Diagrams with Declarative RelationsProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676465(1-21)Online publication date: 13-Oct-2024
    • (2024)Tangible Stats: An Embodied and Multimodal Platform for Teaching Data and Statistics to Blind and Low Vision StudentsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650793(1-9)Online publication date: 11-May-2024
    • (2024)DynaVis: Dynamically Synthesized UI Widgets for Visualization EditingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642639(1-17)Online publication date: 11-May-2024
    • (2024)BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)10.1109/VL/HCC60511.2024.00012(13-23)Online publication date: 2-Sep-2024
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    • (2022)Reusing Interactive Analysis WorkflowsComputer Graphics Forum10.1111/cgf.1452841:3(133-144)Online publication date: 12-Aug-2022
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    • (2022)Using Chained Views and Follow-Up Queries to Assist the Visual Exploration of the Web of Big Linked DataInternational Journal of Human–Computer Interaction10.1080/10447318.2022.211252940:2(224-240)Online publication date: 23-Aug-2022
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