User-centric soft keyboard predictive technologies

摘要

An apparatus and method are disclosed for providing feedback and guidance to touch screen device users to improve text entry user experience and performance by generating input history data including character probabilities, word probabilities, and touch models. According to one embodiment, a method comprises receiving first input data, automatically learning user tendencies based on the first input data to generate input history data, receiving second input data, and generating auto-corrections or suggestion candidates for one or more words of the second input data based on the input history data. The user can then select one of the suggestion candidates to replace a selected word with the selected suggestion candidate.

主权项

1. A method, comprising:
receiving first input data associated with a mobile device, wherein the first input data comprises one or more words; automatically learning user tendencies using the first input data to generate user-specific input history data indicating that at least one input word of the first input data was previously auto-corrected and that the auto-correction was undone; receiving second input data from a touch screen keyboard; analyzing the second input data and at least a portion of the user-specific input history data; and based on the analyzing, providing one or more user-specific auto-corrections or suggestion candidates for the second input data to the touch screen keyboard.