EdgeWrite: a stylus-based text entry method designed for high accuracy and stability of motion

By Jacob O. Wobbrock, Brad A. Myers, John A. Kembel. ACM Symposium on User Interface Software and Technology, 2003

358 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/096a000ef74ea2abc5f8403329d6d91dae20802f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Kumiko Tanaka-Ishii
2. I. Mackenzie
3. Jacob O. Wobbrock

In Human-Computer Interaction

1. Kumiko Tanaka-Ishii
2. I. Mackenzie
3. Jacob O. Wobbrock
4. Brad A. Myers

Citations in the corpus

• Maximizing the guessability of symbolic input (2005, background): “The importance of the four corners of the square input area was also explained , since EdgeWrite letters are defined not by their overall p ths of motion but by their sequences of corner-hits [9].”
• Text Entry Systems: Mobility, Accessibility, Universality (2007, methodology): “Twenty participants were recruited to simply guess how they would make each letter of the alphabet with their index finger on a touchpad, with the constraint that their strokes would pass through any of the four corners of the touchpad square, since this is how EdgeWrite letters are defined.”