Charade: remote control of objects using free-hand gestures
Communications of the ACM - Special issue on computer augmented environments: back to the real world
The design and evaluation of marking menus
The design and evaluation of marking menus
Model-Based Analysis of Hand Posture
IEEE Computer Graphics and Applications
Modeling the constraints of human hand motion
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
OctoPocus: a dynamic guide for learning gesture-based command sets
Proceedings of the 21st annual ACM symposium on User interface software and technology
Proceedings of the 20th International Conference of the Association Francophone d'Interaction Homme-Machine
User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ShadowGuides: visualizations for in-situ learning of multi-touch and whole-hand gestures
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The design and evaluation of multitouch marking menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding users' preferences for surface gestures
Proceedings of Graphics Interface 2010
Hands-on math: a page-based multi-touch and pen desktop for technical work and problem solving
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
ACM International Conference on Interactive Tabletops and Surfaces
Dips and ceilings: understanding and supporting transitions to expertise in user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Hand occlusion on a multi-touch tabletop
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using rhythmic patterns as an input method
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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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.