Alphanumeric information input method
AssigneeAirTx, Incorporated.
InventorsJoseph Mulvey, Pierre Demartines
Life of this patent
Estimating the term…
Abstract
An alphanumeric information entry process that includes provision and use of a personal context model that correlates various examples of user context against a unique personal language model for the user. The personal language model itself along with considerable correlation examples can be developed by statistical analysis of user documents and files including particularly email files (including address books). Such processing can be done locally or remotely. The personal context model is used to predict subsequent alphanumeric entries for a given user. In one embodiment predictions are presented one word at a time. Predictions can be automatically changed in one embodiment when the user fails to make any input for a predetermined period of time.
Claims28
A method comprising:
- receiving first data from a user representing alphanumeric information;
- predicting at least one additional item of alphanumeric information based upon the first data and a personal context model.
A method comprising:
- providing a plurality of e-mail files for a user;
- processing the plurality of e-mail files to develop a personal context model for the user;
- using the personal language model to predict subsequent alphanumeric information when receiving input data representing alphanumeric information from the user.
A method comprising:
- providing alphanumeric information as digitally stored by a user on a first device to a remote location;
- receiving at least portions of a personal language model for the user as based, at least in part, upon the alphanumeric information;
- using the personal language model to predict subsequent alphanumeric information when receiving input data representing alphanumeric information from the user.
A method comprising:
- using a personal language model for a user to predict subsequent alphanumeric information when receiving input data representing alphanumeric information from the user, which prediction is based upon the input data and a personal context model;
- modifying the personal language model based upon subsequently entered input data representing alphanumeric information from the user.
Dependencies are inferred from the claim text.