Name
Abstract | ||
|---|---|---|
Mid-air hand gestural interaction has generally been researched as a pointing device. However, recent research has shown potential for text input with the use of word gesture keyboards (WGK), where these forms of interactions require the input system to identify when the gesture has started and when it has stopped. Previous research has had success where the same hand moved the cursor, and performed the activation gesture. In this paper we introduce bimanual interaction for gestural interaction to perform text input with WGK, where one hand moves the cursor while the other hand performs the activation. In our user studies, the bimanual method demonstrated significantly higher results than the state-of-the-art single handed method. We achieved 16 words per minute; about 39% higher than the benchmark, and with significantly lower error rates. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3027063.3053137 | CHI Extended Abstracts |
Field | DocType | Citations |
Words per minute,Computer science,Gesture,Gesture recognition,Speech recognition,Pointing device,Human–computer interaction,User studies,Cursor (user interface) | Conference | 1 |
PageRank | References | Authors |
0.36 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Garrett Benoit | 1 | 1 | 0.36 |
| G. Michael Poor | 2 | 58 | 10.00 |
| Alvin Jude | 3 | 26 | 3.76 |