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

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Scopus Citations
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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings
EditorsDavid James, Fernando Loizides, Lennart Nacke, Helen Petrie, Marco Winckler, Panayiotis Zaphiris
PublisherSpringer, Cham
Pages273-292
ISBN (electronic)978-3-030-29387-1
ISBN (print)978-3-030-29386-4
Publication statusPublished - Sept 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11748 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

Title17th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2019
PlaceCyprus
CityPaphos
Period2 - 6 September 2019

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.

Research Area(s)

  • Additively weighted Voronoi diagram, Area cursor, Fitts’ law, Movement-phase-aware cursor

Citation Format(s)

Additive Voronoi Cursor: Dynamic Effective Areas Using Additively Weighted Voronoi Diagrams. / Cheung, Jacky Kit; Au, Oscar Kin-Chung; Zhu, Kening.
Human-Computer Interaction – INTERACT 2019 - 17th IFIP TC 13 International Conference, Proceedings. ed. / David James; Fernando Loizides; Lennart Nacke; Helen Petrie; Marco Winckler; Panayiotis Zaphiris. Springer, Cham, 2019. p. 273-292 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11748 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review