Contextual responses based on automated learning techniques
First Claim
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.
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Accused Products
Abstract
Techniques are disclosed for using a combination of explicit and implicit user context modeling techniques to identify and provide appropriate computer actions based on a current context, and to continuously improve the providing of such computer actions. The appropriate computer actions include presentation of appropriate content and functionality. Feedback paths can be used to assist automated machine learning in detecting patterns and generating inferred rules, and improvements from the generated rules can be implemented with or without direct user control. The techniques can be used to enhance software and device functionality, including self-customizing of a model of the user'"'"'s current context or situation, customizing received themes, predicting appropriate content for presentation or retrieval, self-customizing of software user interfaces, simplifying repetitive tasks or situations, and mentoring of the user to promote desired change.
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Citations
33 Claims
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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:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29)
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26. A method in a computing device for improving responses to context information based on automated learning techniques, multiple responses each being associated with a group of context information, the method comprising:
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receiving indications of multiples responses previously indicated by at least one user and of context information related to each of the multiple responses;
automatically detecting a relationship between a group of context information and one of the responses based on the received indications; and
creating an association between the group of context information and the one response, so that the one response can be provided in the future in response to a context that matches the group of context information.
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28. A computing device for improving responses to context information based on automated learning techniques, multiple responses each being associated with a group of context information, comprising:
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a learning component capable of receiving indications of multiples responses previously indicated by at least one user and of context information related to each of the multiple responses, and capable of automatically detecting a relationship between a group of context information and one of the responses based on the received indications; and
a response modifier component capable of creating an association between the group of context information and the one response.
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30. A computer system for improving responses to context information based on automated learning techniques, multiple responses each being associated with a group of context information, comprising:
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means for receiving indications of multiples responses previously indicated by at least one user and of context information related to each of the multiple responses;
means for automatically detecting a relationship between a group of context information and one of the responses based on the received indications; and
means for creating an association between the group of context information and the one response.
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31. A computer-readable medium whose contents cause a computing device to improve responses to context information based on automated learning techniques, multiple responses each being associated with a group of context information, by:
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receiving indications of multiples responses previously indicated by at least one user and of context information related to each of the multiple responses;
automatically detecting a relationship between a group of context information and one of the responses based on the received indications; and
creating an association between the group of context information and the one response. - View Dependent Claims (32, 33)
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Specification