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Arpège: learning multitouch chord gestures vocabularies

Published: 06 October 2013 Publication History

Abstract

This paper presents Arpège, a progressive multitouch input technique for learning chords, as well as a robust recognizer and guidelines for building large chord vocabularies. Experiment one validated our design guidelines and suggests implications for designing vocabularies, i.e. users prefer relaxed to tense chords, chords with fewer fingers and chords with fewer tense fingers. Experiment two demonstrated that users can learn and remember a large chord vocabulary with both Arpège and cheat sheets, and Arpège encourages the creation of effective mmnemonics.

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References

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cover image ACM Conferences
ITS '13: Proceedings of the 2013 ACM international conference on Interactive tabletops and surfaces
October 2013
514 pages
ISBN:9781450322713
DOI:10.1145/2512349
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 October 2013

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Author Tags

  1. chords
  2. gestural interaction
  3. gesture vocabulary
  4. multitouch interaction
  5. progressive learning technique
  6. tabletop interface

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ITS '13
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ITS '13: The ACM International Conference on Interactive Tabletops and Surfaces
October 6 - 9, 2013
St. Andrews, Scotland, United Kingdom

Acceptance Rates

ITS '13 Paper Acceptance Rate 35 of 121 submissions, 29%;
Overall Acceptance Rate 119 of 418 submissions, 28%

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Cited By

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  • (2024)Interaction Techniques for Comparing VideoProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670948(1-13)Online publication date: 3-Jun-2024
  • (2024)Audio-visual training and feedback to learn touch-based gesturesJournal of Visualization10.1007/s12650-024-01012-x27:6(1117-1142)Online publication date: 17-Jun-2024
  • (2023)Revisiting creative behaviour as an epistemic process: lessons from 12 computational artists and designersProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638395(175-190)Online publication date: 2-Dec-2023
  • (2023)Studying the Visual Representation of MicrogesturesProceedings of the ACM on Human-Computer Interaction10.1145/36042727:MHCI(1-36)Online publication date: 13-Sep-2023
  • (2023)µGlyph: a Microgesture NotationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580693(1-28)Online publication date: 19-Apr-2023
  • (2023)Studies and guidelines for two concurrent stroke gesturesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102942170:COnline publication date: 1-Feb-2023
  • (2022)A systematic mapping study on usability and user eXperience evaluation of multi-touch systemsProceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems10.1145/3554364.3559131(1-12)Online publication date: 17-Oct-2022
  • (2022)Command SelectionHandbook of Human Computer Interaction10.1007/978-3-319-27648-9_19-1(1-35)Online publication date: 12-Mar-2022
  • (2021)OctoPocus in VR: Using a Dynamic Guide for 3D Mid-Air Gestures in Virtual RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310185427:12(4425-4438)Online publication date: 1-Dec-2021
  • (2020)Imprint-Based Input Techniques for Touch-Based Mobile DevicesProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428393(32-41)Online publication date: 22-Nov-2020
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