Publication Data
QuickSuggest: Character Prediction for Improved Text Entry on Web Appliances
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.
