QuickSuggest: Character Prediction for Improved Text Entry on Web Appliances
Venue
International Conference on the World Wide Web (WWW) (2010)
Publication Year
2010
Authors
Ullas Gargi, Rich Gossweiler
BibTeX
Abstract
As traditional media and information devices integrate with the web, they must
abruptly support a vastly larger database of relevant items. Many devices such as
internet-capable televisions and set-top boxes support traditional remote controls
with on-screen keyboards for text input. These input methods are not well suited
for text entry but are difficult to displace. To make these devices work well in a
rich information environment such as the WWW, we must develop ways to improve text
entry through this input bottleneck. We introduce QuickSuggest which significantly
improves text entry speed for on-screen keyboards, much like query suggestions in a
search text box can improve query input. QuickSuggest uses the same simple
Up/Down/Left/Right/Enter interface common to remote controls, gaming devices and
car input controls used to enter text. The paper describes QuickSuggest's novel
adaptive user interface to make text entry more efficient and demonstrates
quantitative improvements from simulation results on millions of user queries. User
experiments also show ease of use and efficiency with no learning curve. Our
results suggest that very simple input devices can be used to enter text covering a
large vocabulary with surprising ease.
