Recognizing Mathematical Expressions Using Tree Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lucid touch: a see-through mobile device
Proceedings of the 20th annual ACM symposium on User interface software and technology
MathPaper: Mathematical Sketching with Fluid Support for Interactive Computation
SG '08 Proceedings of the 9th international symposium on Smart Graphics
MathBrush: A System for Doing Math on Pen-Based Devices
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Tools for the efficient generation of hand-drawn corpora based on context-free grammars
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
Ripples: utilizing per-contact visualizations to improve user interaction with touch displays
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Towards Handwritten Mathematical Expression Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Recognition of online handwritten mathematical expressions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
GAMBIT: Addressing multi-platform collaborative sketching with html5
Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
Addressing multi-platform collaborative sketching
Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
Assessing lag perception in electronic sketching
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
CSTutor: A Sketch-Based Tool for Visualizing Data Structures
ACM Transactions on Computing Education (TOCE)
Electronic sketching on a multi-platform context: A pilot study with developers
International Journal of Human-Computer Studies
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Despite the increasing prevalence of touch-based tablet devices, little attention has been paid to what effects, if any, this form factor has on sketch behaviours in general and on sketch recognizers in particular. We investigate the title question through an empirical study in the context of mathematical expression recognition. Using a corpus of thirty expressions drawn on Tablet PC and iPad by thirty writers, we show that characteristics of sketching and drawing differ depending on platform. While recognition is most accurate on the Tablet PC due to its technical superiority, recognition is feasible on mobile touch-based devices. However, there are characteristics of sketching on multi-touch tablets that differ, and these physical characteristics of writing impact recognition accuracy. Together, our observations inform the broader Sketch Recognition community as they design systems targeted to multi-touch tablets.