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Conference Papers Year : 2019

Additive Voronoi Cursor: Dynamic Effective Areas Using Additively Weighted Voronoi Diagrams

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Jacky Kit Cheung
  • Function : Author
  • PersonId : 1068650
Oscar Kin-Chung Au
  • Function : Author
  • PersonId : 1068651
Kening Zhu
  • Function : Author
  • PersonId : 1068156

Abstract

We present Additive Voronoi Cursor (AVC) – a new cursor technique for target selection by dynamically resizing the area cursor based on the analysis of the two different phases of mouse movement: the ballistic and the correction phases during target selection. On-screen Targets can be divided into respective areas dynamically based on both target distribution and cursor velocity. We assumed that to select a target, a user will first perform ballistic/fast cursor movement aiming to the target roughly, then correct the cursor position with slower movement towards the desired target. Therefore, after the ballistic movement, the desired target would locate within the local region closed to the cursor. We defined Additive Weighted Voronoi Diagrams with selectable targets by assigning larger weights to the nearby objects right after the ballistic cursor movement. Therefore, the effective areas of the nearby objects are enlarged, and they can be selected more easily and quickly. We had compared our cursor technique with recent developed area-cursor methods. The results showed that our method performed significantly better on certain configurations.
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Dates and versions

hal-02553875 , version 1 (24-04-2020)

Licence

Attribution - CC BY 4.0

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Jacky Kit Cheung, Oscar Kin-Chung Au, Kening Zhu. Additive Voronoi Cursor: Dynamic Effective Areas Using Additively Weighted Voronoi Diagrams. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.273-292, ⟨10.1007/978-3-030-29387-1_16⟩. ⟨hal-02553875⟩
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