13. A computer-implemented method of performing selective sampling of data to enhance model performance, comprising: with at least one processor, creating a model of a state of a user based on a set of data; testing the model against the set of data to determine performance results; and initiating selective sampling to obtain additional data by probing the user when the performance results generated from the set of data are below a criterion, the selective sampling occurring at a time determined based on a state of the user.
13. A computer-implemented method of performing selective sampling of data to enhance model performance, comprising: with at least one processor, creating a model of a state of a user based on a set of data; testing the model against the set of data to determine performance results; and initiating selective sampling to obtain additional data by probing the user when the performance results generated from the set of data are below a criterion, the selective sampling occurring at a time determined based on a state of the user. 18. The method of claim 13 , further comprising analyzing the set of data to determine a general category of interest of the set of data that forms a basis for the act of initiating selective sampling of the additional data.