Predictive keyboard

Coded data generation or conversion – Bodily actuated code generator – Including keyboard or keypad

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C345S173000, C382S229000

Reexamination Certificate

active

06573844

ABSTRACT:

RELATED APPLICATION
The present application is related to the cofiled, copending, and co-assigned case entitled “Fuzzy Keyboard”.
FIELD OF THE INVENTION
This invention relates generally to devices having soft keyboards, and more particularly to such keyboards in which the next key that will be pressed by the user is predicted.
BACKGROUND OF THE INVENTION
Small computerized devices that fit into the palm of one's hand, generally referred to as personal-digital-assistant (PDA) devices, have become increasingly popular. They allow users to look up and record information where computer access is inconvenient, such as when in one's car, while shopping at the mall, during a business meeting, etc. Unlike a typical desktop or laptop computer, which has an actual physical, or “real,” keyboard for text and data entry, a PDA device usually only has a small number of buttons, and a small touch-sensitive area on which a pen-like implement called a stylus can be used. For text entry on such a device, the user is able to write letters or symbols corresponding to letters on the touch-sensitive area with the stylus, which the device attempts to recognize.
However, for a variety of reasons, some users prefer not to input text into these devices in this manner. Therefore, most PDA devices also permit a second form of text and data entry. An image of a regular keyboard is displayed on the small display of a PDA device, such that a user is able to select which key to “type” next by tapping the stylus on the part of the image of the keyboard corresponding to the desired key. Such an image of a keyboard being displayed on the display of a device such as a PDA device, to provide for text and data entry on the part of the user by tapping the parts of the image corresponding to keys of the keyboard, is known as a “soft” keyboard.
A disadvantage with such soft keyboards is, however, that the displayed keys of the keyboard on the display of the PDA device are very small, since the display of the device as well as the device itself are small. This means that users are apt to tap incorrect keys, especially when “typing” quickly, and also that users are apt to type more slowly using soft keyboards, because of the dexterity required in order to achieve a high accuracy rate when typing. This limits the usefulness of these PDA devices, since they cannot very conveniently be used for quick and/or large amounts of text and data entry. For this and other reasons, there is a need for the present invention.
SUMMARY OF THE INVENTION
The invention relates to predictive keyboards, such as predictive soft keyboards. In one embodiment, a computer-implemented method first predicts at least one key to be entered next within a sequence of keys. The method displays a soft keyboard where the predicted keys are displayed on the soft keyboard differently than the other keys on the keyboard. For example, the predicted keys may be larger in size on the soft keyboard as compared to the other keys, making them more easily typed by a user as compared to the other keys.
Embodiments of the invention provide for advantages not found within the prior art. While the overall size of the soft keyboard of a personal-digital-assistant (PDA) device is still small, the keys that are determined as most likely to be entered next by the user are relatively larger in size than the other keys. This makes it easier for a user to type them as compared to the other keys, and as compared to keys on soft keyboards found in the prior art.
For example, if a user begins typing a sequence of keys “t” and then “h,” an embodiment of the invention may predict that the key the user will enter next is “e” or “r”. By displaying the “e” and “r” keys larger in size than the other keys on the keyboard, the embodiment of the invention makes it easier for the user to select either of these keys as the next key within the sequence. This makes for more convenient data and text entry on PDA devices, increasing their usefulness.
The invention includes computer-implemented methods, machine-readable media, computerized devices, computerized systems, and computers of varying scopes. Other aspects, embodiments and advantages of the invention, beyond those described here, will become apparent by reading the detailed description and with reference to the drawings.


REFERENCES:
patent: 5963671 (1999-10-01), Comerford et al.
patent: 6359572 (2002-03-01), Vale
Hermann Ney, Ute Essen, Reinhard Kneser, On structuring probabilistic dependences in stochastic language modelling, Computer Speech & Language 8, 1-38, 1994.
I. Scott MacKenzie, Shawn Zhang, The design and evaluation of a high-performance soft keyboard, CHI '99, Pittsburgh, PA, May 15-20, 1999, May 15, 1999. pp. 25-31.
Dario D. Salvucci, Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models, CHI '99, Pittsburgh, PA, May 15-20, 1999, May 15, 1999.
S. Chen and J. Goodman, An Empirical Study of Smoothing Techniques for Language Modeling, Computer Science Group, Harvard University, TR-10-98, Aug. 1998, pp. 1-64.
Andrew W. Golding, Yves Schabes, Combining Trigram-based and Feature Based Methods, Mitsubishi Technical Report, TR 96-03a, May 1996, pp. 69-78.
John W. Miller, Fil Alleva, Evaluation of a Language Model using a Clustered Model Backoff, Proceedings of ICSLIP 96, pp. 390-393, 1996.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Predictive keyboard does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Predictive keyboard, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Predictive keyboard will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3158955

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.