SYSTEMS AND METHODS FOR PERSONIFYING COMMUNICATIONS

• US 20170287471A1
• Filed: 04/17/2017
• Published: 10/05/2017
• Est. Priority Date: 01/31/2014
• Status: Active Grant

• Current Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Original Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Inventors: Lyman, Jefferson, Brunson, Nic, Shearer, Wade, Warner, Mike, Walger, Stefan
• Granted Patent: US 10,049,660 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/42 Data-driven translation
• CPC Class Codes: G10L 13/027 Concept to speech synthesisers; Generation of natural phrases from machine-based concepts generation of parameters for speech synthesis out of text G10L13/08
• CPC Class Codes: G10L 15/18 using natural language modelling
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology

Abstract

Systems and methods are described for personifying communications. According to at least one embodiment, the computer-implemented method for personifying a natural-language communication includes observing a linguistic pattern of a user. The method may also include analyzing the linguistic pattern of the user and adapting the natural-language communication based at least in part on the analyzed linguistic pattern of the user. In some embodiments, observing the linguistic pattern of the user may include receiving data indicative of the linguistic pattern of the user. The data may be one of verbal data or written data. Written data may include at least one of a text message, email, social media post, or computer-readable note. Verbal data may include at least one of a recorded telephone conversation, voice command, or voice message.

Claims

1-20. -20. (canceled)

21. A computer-implemented method of personifying a natural-language communication, comprising:

receiving, from a device associated with a user, an indication of a linguistic pattern from the user;

determining at least one characteristic of the user based at least in part on receiving the linguistic pattern;

adjusting a linguistic algorithm of an automation system associated with the user based at least in part on determining the at least one characteristic; and

communicating to the user using the adjusted linguistic algorithm.

22. The computer-implemented method of claim 21, wherein the device associated with the user further comprises:

a sensor associated with the automation system.

23. The computer-implemented method of claim 22, wherein the sensor further comprises:

a microphone, a video camera, a keyboard, or any combination thereof.

24. The computer-implemented method of claim 21, wherein the device associated with the user further comprises:

a personal computing device, a mobile phone, a control panel, or any combination thereof.

25. The computer-implemented method of claim 21, further comprising:

wherein determining the at least one characteristic of the user further comprises determining a geographical region associated with the user;

determining colloquialisms associated with the geographical region; and

adjusting the linguistic algorithm of the automation system to include determined colloquialisms.

26. The computer-implemented method of claim 25, wherein determining colloquialisms further comprises:

analyzing linguistic patterns stored in a historical database.

27. The computer-implemented method of claim 21, further comprising:

wherein determining the at least one characteristic of the user further comprises determining an age group associated with the user;

determining a sentence structure or syntax associated with the determined age group; and

adjusting the linguistic algorithm to include the determined sentence structure or syntax.

28. The computer-implemented method of claim 21, further comprising:

wherein determining the at least one characteristic of the user further comprises determining an age group associated with the user;

determining colloquialisms associated with the determined age group; and

adjusting the linguistic algorithm to include the determined colloquialisms.

29. The computer-implemented method of claim 21, wherein adjusting the linguistic algorithm further comprises:

updating the linguistic algorithm at a plurality of pre-determined time intervals.

30. The computer-implemented method of claim 29, wherein updating the linguistic algorithm further comprises:

adjusting the time intervals as the linguistic algorithm is refined over time for the user.

31. An apparatus for personifying a natural-language communication, comprising:

a processor;

a memory in electronic communication with the processor; and

instruction stored in the memory, the instructions being executable by the processor to;

receive, from a device associated with a user, an indication of a linguistic pattern from the user;

determine at least one characteristic of the user based at least in part on receiving the linguistic pattern;

adjust a linguistic algorithm of an automation system associated with the user based at least in part on determining the at least one characteristic; and

communicate to the user using the adjusted linguistic algorithm.

32. The apparatus of claim 31, further comprising:

wherein when the processor determines the at least one characteristic, the instructions are further executable by the processor to determine a geographical region associated with the user;

determine colloquialisms associated with the geographical region; and

adjust the linguistic algorithm of the automation system to include determined colloquialisms.

33. The apparatus of claim 32, wherein when the processor determines, the instructions are further executable to instruct the processor to:

analyzing linguistic patterns stored in a database.

34. The apparatus of claim 31, further comprising:

wherein when the processor determines the at least one characteristic, the instructions are further executable by the processor to determine an age group associated with the user;

determine a sentence structure or syntax associated with the determined age group; and

adjust the linguistic algorithm to include the determined sentence structure or syntax.

35. The apparatus of claim 31, further comprising:

wherein when the processor determines the at least one characteristic, the instructions are further executable by the processor to determine an age group associated with the user;

determine colloquialisms associated with the determined age group; and

adjust the linguistic algorithm to include the determined colloquialisms.

36. The apparatus of claim 31, wherein when the processor adjusts, the instructions are further executable to instruct the processor to:

update the linguistic algorithm at a plurality of pre-determined time intervals.

38. The apparatus of claim 35, wherein when the processor adjusts, the instructions are further executable to instruct the processor to:

adjust the time intervals as the linguistic algorithm is refined over time for the user.

39. A computer-program product for personifying a natural-language communication, the computer-program product comprising a non-transitory computer-readable medium storing instructions executable by a processor to:

receive, from a device associated with a user, an indication of a linguistic pattern from the user;

determine at least one characteristic of the user based at least in part on receiving the linguistic pattern;

adjust a linguistic algorithm of an automation system associated with the user based at least in part on determining the at least one characteristic; and

communicate to the user using the adjusted linguistic algorithm.

40. The computer-program product of claim 39, wherein adjusting the linguistic algorithm further comprises:

updating the linguistic algorithm at a plurality of pre-determined time intervals.