BEHAVIORAL APPLICATION DETECTION SYSTEM

1 . An intent detection method, said method comprising:

receiving electronic input device usage characteristic data of a subject during a subject's data entry;

generating a baseline model using population input device usage characteristic data; and

predicting the subject's intent on the basis of the baseline model.

2 . The method of claim 1 , wherein the electronic input device usage characteristic data is collected from one or more of a mouse, a touchpad, a touchscreen, a keyboard, a microphone, a stylus, a track ball, a pointer device, a camera, a joystick, or a movement sensor.

3 . The method of claim 1 , wherein predicting the subject's intent is one of predicting whether a subject is considering changing an answer, predicting whether a subject is considering a false answer, or predicting whether a subject will complete data entry on a form.

4 . The method of claim 1 , wherein the input device characteristic data is one or more of the subject's keystrokes, pointer movements, or behavior characteristics.

5 . The method of claim 1 , wherein the baseline model further uses the subject's input usage characteristic data.

6 . The method of claim 1 , wherein the baseline model is further used to calculate a confidence score for each subject.

7 . The method of claim 1 , wherein the system further uses the subject's electronic input device usage characteristic data to determine the subject's progress in data entry on an electronic form.

8 . The method of claim 7 , wherein the electronic form is used for a credit application, an insurance application, a job application, or a loan application.

9 . The method of claim 1 , wherein the electronic input device usage characteristic data is one or more of keyboard dynamics or pointing device dynamics.

10 . The method of claim 1 , further comprising storing the subject's electronic input device usage characteristic data and associating said data with the subject.

11 . An intent detection system for a subject, wherein a processing device:

receives electronic input device usage characteristic data of a subject during a subject's data entry;

generates a baseline model using population input device usage characteristic data; and

predicts the subject's intent on the basis of the baseline model.

12 . The system of claim 11 , wherein the electronic input device usage characteristic data is collected from one or more of a mouse, a touchpad, a touchscreen, a keyboard, a microphone, a stylus, a track ball, a pointer device, a camera, a joystick, or a movement sensor.

13 . The system of claim 11 , wherein predicting the subject's intent is one of predicting whether a subject is considering changing an answer, predicting whether a subject is considering a false answer, or predicting whether a subject will complete data entry on a form.

14 . The system of claim 11 , wherein the input device characteristic data is one or more of the subject's keystrokes, pointer movements, or behavior characteristics.

15 . The system of claim 11 , wherein the baseline model further uses the subject's input usage characteristic data.

16 . The system of claim 11 , wherein the baseline model is further used to calculate a confidence score for each subject.

17 . The system of claim 11 , wherein the system further uses the subject's electronic input device usage characteristic data to determine the subject's progress in data entry on an electronic form.

18 . The system of claim 17 , wherein the electronic form is used for one of a credit application, an insurance application, a job application, or a loan application.

19 . The system of claim 11 , wherein the electronic input device usage characteristic data is one or more of keyboard dynamics or pointing device dynamics.

20 . The system of claim 11 , wherein the system further stores the subject's electronic input device usage characteristic data and associates said data with the subject