Maximizing the guessability of symbolic input

By Jacob O. Wobbrock, Htet Htet Aung, Brandon Rothrock, Brad A. Myers. CHI Extended Abstracts, 2005

402 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/b56d2c66921dfb4c2008de986619a6804fc9a4da

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
4. Meredith Ringel Morris
5. Andrew D. Wilson
6. Hrvoje Benko
7. Chris Harrison
8. Wendy E. Mackay

In Human-Computer Interaction

1. Jacob O. Wobbrock
2. Kumiko Tanaka-Ishii
3. Meredith Ringel Morris
4. I. Mackenzie
5. Andrew D. Wilson
6. James A. Landay
7. Hrvoje Benko
8. Chris Harrison

Citations in the corpus

• Text Entry Systems: Mobility, Accessibility, Universality (2007, background): “Wobbrock et al. (2005b) investigated the guessability of EdgeWrite gestures.”
• Drone & me: an exploration into natural human-drone interaction (2015, background): “, per modality type, based on [22] where 𝑃 ! is the set of proposed interactions for referent 𝑟 , and 𝑃 ! is the subset of identical interactions for that referent.”
• User-defined gestures for surface computing (2009, methodology): “The final user-defined gesture set was developed in light of the agreement participants exhibited in choosing gestures for each command [ 33 ].”