SYSTEMS AND METHODS TO ENABLE INTERACTIVITY AMONG A PLURALITY OF DEVICES

• US 20090265163A1
• Filed: 02/12/2009
• Published: 10/22/2009
• Est. Priority Date: 02/12/2008
• Status: Active Grant

• Current Assignee: Ezsav Incorporated
• Original Assignee: Phone Through, Inc.
• Inventors: Li, Lehmann, Addiss, Donald
• Granted Patent: US 8,306,810 B2
• Time in Patent Office: Days
• US Class Current: 704/10
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Methods and systems to exchange and display data among a plurality of devices in response to one or more of user input and context-based information. User input may include one or more of motion, speech, text, pointing, and touch-selecting. Context-based information may include one or more of user location, which may be relative to one or more devices, background audio, information related to one or more products and/or services, and user-based context information. User context-based information may correspond one or more of prior transactions, prior activities, prior content exposure, and demographic information. Also disclosed herein are methods and systems to correlate user speech to one or more of commands and data objects, with respect to context-based information. Methods and systems to recognize speech may be implemented in combination with methods and systems to exchange and/or display of data among a plurality of devices, and in other environments.

Claims

1. A system, comprising:

a user context language model engine including,

logic to cause a processor to associate one or more key words with each of a plurality of types of user context information,

logic to cause the processor to identify user context information associated with each of a plurality of users, and

logic to cause the processor to generate a user context vocabulary of words, for each of the plurality of users, from the key words associated with the corresponding user context information;

a product language model engine including,

logic to cause the processor to associate one or more key words with each of a plurality of product categories, and

logic to cause the processor to generate a product vocabulary of words from the key words corresponding to the product categories;

an acoustic model engine to convert user input speech to a first set of one or more words; and

a word selection engine to select a second set of one or more words from one or more of a corresponding one of the user context vocabulary of words and the product vocabulary of words that correlate to the first set of one or more words.

2. The system of claim 1, wherein the user context language model engine further includes:

logic to cause the processor to associate the one or more key words with each of a plurality of types of products/services;

logic to cause the processor to identify user prior transaction information associated products/services, for each of the plurality of users, and

logic to cause the processor to generate a user prior transaction vocabulary of words, for each of the plurality of users, from the key words associated with the corresponding user prior transaction information.

3. The system of claim 2, wherein the logic to identify user prior transaction information includes:

logic to cause the processor to retrieve transaction information from one or more of a bank database, a merchant database, a credit card processor database, a check processor database, and a user computer.

4. The system of claim 1, wherein the logic to generate the product vocabulary includes:

logic to cause the processor to dynamically filter one or more of the products/services and corresponding keywords in response the user input speech, and to generate the product vocabulary from filtered results.

5. The system of claim 1, wherein the logic to generate a user context vocabulary of words, for each of the plurality of users, includes one or more of:

logic to cause the processor to generate a user demographic vocabulary of words, for each of the plurality of users;

logic to cause the processor to generate a user activity vocabulary of words, for each of the plurality of users;

logic to cause the processor to generate a user prior transaction vocabulary of words, for each of the plurality of users; and

logic to cause the processor to generate a user content exposure vocabulary of words, for each of the plurality of users.

6. The system of claim 5, further including:

a scoring engine to assign scores to the user context vocabulary of words;

wherein the word selection engine includes logic to cause the processor to select the second set of one or more words at least partially in response to the scores.

7. The system of claim 1, further including:

a population language model engine including,

logic to cause the processor to associate one or more key words with each of a plurality of type features in response to input from a population of users, and

logic to cause the processor to generate a population vocabulary of words from the key words corresponding to the features;

a scoring engine to assign scores to the user context vocabulary of words and the population vocabulary of words;

wherein the word selection engine includes logic to cause the processor to select the second set of one or more words from one or more of the user context vocabulary of words, the product vocabulary of words, and the population vocabulary of words, at least partially in response to the scores.

8. The system of claim 1, further including:

a background audio language model engine including,

logic to cause the processor to associate one or more key words with each of a plurality of media content identifications,

logic to cause the processor to identify the media content indications from audio accompanying the user input speech, and

logic to cause the processor to generate media content vocabularies of words from the key words of identified media content identifications; and

a scoring engine to assign scores to the user context vocabulary of words and the media content vocabulary of words;

wherein the word selection engine includes logic to cause the processor to select the second set of one or more words from one or more of the user context vocabulary of words, the product vocabulary of words, and the media content vocabulary of words, at least partially in response to the scores.

9. The system of claim 1, further including:

shopping list logic to cause the processor to populate a shopping list in response to the second set of one or more words.

10. The system of claim 1, further including:

logic to cause the processor to identify a data object and a destination device at least partially in response to the second set of one or more words; and

transmit logic to transmit the data object to the destination device.

11. The system of claim 10, wherein the data object includes a merchandise coupon, and wherein the transmit logic includes:

logic to cause the processor to transmit the merchandise coupon to one or more of a user telephone, a user computer, and a television system.

12. The system of claim 1, further including:

logic to cause the processor to identify a data object and a destination device in response to at least a subset of the second set of one or more words, an indication of a user motion, and an indication of a user location.

13. A system, comprising:

logic to cause a processor to identify a data object and a destination device in response to user input and user context based information; and

transmit logic to cause the processor to transmit the data object to the destination device.

14. The system of claim 13, wherein the data object includes a merchandise coupon, and wherein the transmit logic includes:

logic to cause the processor to transmit the merchandise coupon to one or more of a user telephone, a user computer, and a television system.

15. The system of claim 13, wherein the logic to identify the data object and the destination device includes:

logic to cause the processor to identify the data object and the destination device in response to one or more of an indication of a user motion and an indication of a user location.

16. The system of claim 13, wherein the logic to identify the data object and the destination device includes:

logic to cause the processor to identify the data object and the destination device in response to one or more of an indication of a user motion, an indication of a user location, user input speech, and background audio.

17. The system of claim 13, wherein the logic to identify the data object and the destination device further includes:

logic to cause the processor to identify the data object in response to user input speech and one or more of user demographic information, user activity information, user prior transaction information, and user content exposure information.

18. A method implemented in a suitably configured computer system, comprising:

associating one or more key words with each of a plurality of types of user context information;

identifying user context information associated with each of a plurality of users;

generating a user context vocabulary of words, for each of the plurality of users, from the key words associated with the corresponding user context information;

associating one or more key words with each of a plurality of product categories;

generating a product vocabulary of words from the key words corresponding to the product categories;

converting user input speech to a first set of one or more words; and

selecting a second set of one or more words from one or more of a corresponding one of the user context vocabulary of words and the product vocabulary of words that correlate to the first set of one or more words.