PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
MathPad2: a system for the creation and exploration of mathematical sketches
ACM SIGGRAPH 2004 Papers
A goal question metric based approach for efficient measurement framework definition
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Advances in Mathematical Sketching: Moving Toward the Paradigm's Full Potential
IEEE Computer Graphics and Applications
Metrics for measuring human interaction with interactive visualizations for information analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing UI techniques for handwritten mathematics
SBIM '07 Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling
GestureBar: improving the approachability of gesture-based interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MathBrush: a case study for pen-based interactive mathematics
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
AlgoSketch: algorithm sketching and interactive computation
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Combining corners from multiple segmenters
Proceedings of the Eighth Eurographics Symposium on Sketch-Based Interfaces and Modeling
A paradigm for handwriting-based intelligent tutors
International Journal of Human-Computer Studies
| Hi-index | 0.00 |
AlgoSketch is a pen-based system for entering and editing mathematics. It supports interactive computation and early-stage mathematical algorithm design. In its paper-like environment, mathematical expressions can be entered anywhere on the page. Recognition and computational feedback are given in real time. We present results of a formative user evaluation of AlgoSketch, examining its applicability as a new interaction paradigm and users' overall experience with its mathematical entry, feedback, and computational support. Using a goal, question metric (GQM) framework, we evaluated AlgoSketch using efficiency, effectiveness, and satisfaction metrics. Logging data was supported by a post-questionnaire and anecdotal data. Results indicate acceptance of the AlgoSketch paradigm; strong potential for workplace utility, and a need for better mathematical expression recognition.