Evaluation of Techniques for Visualizing Mathematical Expression Recognition Results
Anamary Leal
Major: Computer Science
Mentor: Dr. Joseph J. LaViola II, Computer Science
Anamary Leal was born in Miami, Florida. Her research interests include Computer Graphics, Human-Computer Interaction, and User Interfaces. In addition to research through the McNair program, she is involved in the Burnett Honors College, UPE Computing Honors Society, and is a university nominee for the Barry M. Goldwater Scholarship. She wishes to pursue a graduate degree in Computer Science.
While some research focused on the computer recognition techniques for interpreting hand-written mathematical equations, Zeleznik, Miller and Li have developed techniques focusing on displaying what the computer recognized. (2007) I will evaluate four of these recognition visualization techniques in an effort to determine which techniques users prefer and why. The first technique is the typeset in place technique where a printed form of the recognized expression is placed in the same location as the handwritten mathematics. The adjusted ink in place technique is replaces a clearer form of handwriting with what was written using an ink font. Another technique, the large offset technique, sets the recognized printed form to be just as wide as the handwritten input, similar to the typeset in place except the recognized expression is placed below the handwritten mathematical expression. Finally, the fourth technique is the small offset technique, which is like the large offset technique except the height and width of the printed form is set to be relatively small compared to the written expression. Each technique will be evaluated in terms of speed, readability, use of white space, distraction, and overall preference. Subjects will be able to evaluate the techniques by writing several kinds of equations, such as simple, complex, multiple, and compact equations, and filling out pre- and post-questionnaires entailing their experiences. The results will provide guidelines for pen-based user interface software developers when designing recognition-based interfaces that focus on mathematics.
Citation
Zeleznik, Robert, Timothy Miller, and Chuanjun Li. Designing UI Techniques for Handwritten Mathematics. Proc. of Fourth Eurographics: European Association for Computer Graphics Workshop on Sketch-Based Interfaces and Modeling, Riverside, 2-3 August 2007.