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Starburst: a target expansion algorithm for non-uniform target distributions

Published: 28 May 2008 Publication History

Abstract

Acquiring small targets on a tablet or touch screen can be challenging. To address the problem, researchers have proposed techniques that enlarge the effective size of targets by extending targets into adjacent screen space. When applied to targets organized in clusters, however, these techniques show little effect because there is no space to grow into. Unfortunately, target clusters are common in many popular applications. We present Starburst, a space partitioning algorithm that works for target clusters. Starburst identifies areas of available screen space, grows a line from each target into the available space, and then expands that line into a clickable surface. We present the basic algorithm and extensions. We then present 2 user studies in which Starburst led to a reduction in error rate by factors of 9 and 3 compared to traditional target expansion.

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  • (2024)Evaluating Target Expansion for Eye Pointing TasksInteracting with Computers10.1093/iwc/iwae00436:4(209-223)Online publication date: 27-Feb-2024
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  • (2020)Target Expansion in ContextProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399851(1-9)Online publication date: 28-Sep-2020
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    cover image ACM Conferences
    AVI '08: Proceedings of the working conference on Advanced visual interfaces
    May 2008
    483 pages
    ISBN:9781605581415
    DOI:10.1145/1385569
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    Published: 28 May 2008

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    Author Tags

    1. Voronoi
    2. labeling
    3. mouse
    4. pen
    5. target acquisition
    6. target expansion
    7. touch input

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    Cited By

    View all
    • (2024)Evaluating Target Expansion for Eye Pointing TasksInteracting with Computers10.1093/iwc/iwae00436:4(209-223)Online publication date: 27-Feb-2024
    • (2023)FanRay: Using Fan Mechanism in Ray-casting to Improve Target Selection in VRProceedings of the 2023 3rd International Conference on Human Machine Interaction10.1145/3604383.3604395(1-6)Online publication date: 26-May-2023
    • (2020)Target Expansion in ContextProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399851(1-9)Online publication date: 28-Sep-2020
    • (2019)Additive Voronoi Cursor: Dynamic Effective Areas Using Additively Weighted Voronoi DiagramsHuman-Computer Interaction – INTERACT 201910.1007/978-3-030-29387-1_16(273-292)Online publication date: 2-Sep-2019
    • (2016)2D-DraggerProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2935334.2935339(170-179)Online publication date: 6-Sep-2016
    • (2015)LayerStrokeProceedings of the 27th Conference on l'Interaction Homme-Machine10.1145/2820619.2825019(1-6)Online publication date: 27-Oct-2015
    • (2015)Investigating Visual Feedforward for Target Expansion TechniquesProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702375(2777-2786)Online publication date: 18-Apr-2015
    • (2015)RegionalSlidingPervasive and Mobile Computing10.1016/j.pmcj.2014.02.00517:PA(63-78)Online publication date: 1-Feb-2015
    • (2014)Brain-based target expansionProceedings of the 27th annual ACM symposium on User interface software and technology10.1145/2642918.2647414(583-593)Online publication date: 5-Oct-2014
    • (2014)Static Voronoi-based target expansion technique for distant pointingProceedings of the 2014 International Working Conference on Advanced Visual Interfaces10.1145/2598153.2598178(41-48)Online publication date: 27-May-2014
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