1. A method in a wearable computing device for improving automated responses to a current context of a user of the wearable computing device based on automated learning techniques, the current context of the user being represented by a plurality of context attributes that each model an aspect of the context, multiple defined contextual situations each specifying values for at least one of the context attributes, multiple automated responses being associated with the defined contextual situations, the method comprising: repeatedly, receiving an indication of current context information about the user that includes current values for each of the plurality of context attributes; determining one of the defined contextual situations that matches the indicated current context information in such a manner that the included current values of the indicated current context information include the values for the context attributes specified by the one defined contextual situation; automatically providing to the user one of the automated responses that is associated with the one defined contextual situation; receiving an indication from the user of an alternate automated response to be provided; and storing an indication of a possible relationship between the indicated current context information and the alternate automated response; automatically detecting a relationship between an identified contextual situation and one of the alternate automated response based on analysis of repeated patterns in the stored indications in which that alternate automated response is indicated by the user; and creating an association between the identified contextual situation and the one alternate automated response, so that when the identified contextual situation is determined in the future to match current context information, the one alternate automated response can be provided to the user.