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.
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.
Research Areas
