PERSONALITY-BASED INTELLIGENT PERSONAL ASSISTANT SYSTEM AND METHODS

• US 20150371663A1
• Filed: 06/19/2014
• Published: 12/24/2015
• Est. Priority Date: 06/19/2014
• Status: Active Grant

• Current Assignee: Mattersight Corporation (Nice Ltd)
• Original Assignee: Mattersight Corporation (Nice Ltd)
• Inventors: GUSTAFSON, David, DANSON, Christopher
• Granted Patent: US 9,390,706 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G10L 13/00 Speech synthesis; Text to speech systems
• CPC Class Codes: G10L 15/19 Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/088 Word spotting
• CPC Class Codes: G10L 25/51 for comparison or discrimination
• CPC Class Codes: G10L 25/63 for estimating an emotional state
• CPC Class Codes: G10L 25/66 for extracting parameters related to health condition detecting or measuring for diagnostic purposes A61B5/00
• CPC Class Codes: H04M 3/493 Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals

Abstract

The methods, apparatus, and systems described herein assist a user with a request. The methods include receiving at least one input from a user, entering the at least one input into an algorithm trained to output a personality type of the user, and tailoring an output based on the personality type.

Claims

1. A system adapted to assist a user, which comprises:

a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises;

instructions that, when executed, receive a user request;

instructions that, when executed, retrieve or determine a personality type of the user from three or more personality types based on one or more user requests;

instructions that, when executed, determine a set of outputs responsive to the received user request;

instructions that, when executed, rank the outputs in the set based on the retrieved or determined personality type of the user;

instructions that, when executed, deliver a ranked output to the user request in a modality based on the personality type and type of a device configured to deliver the output to the user; and

instructions that, when executed, determine a distress level or engagement level of the user, or both, based on the ranked output delivered and the modality of delivery, and weight the ranked output for one or more future interactions with the user.

2. The system of claim 1, wherein the instructions to determine personality type of the user comprises instructions, that when executed, apply a linguistic-based algorithm to the user request.

3. The system of claim 1, further comprising instructions that, when executed, extracts one or more communication attributes from the request.

4. The system of claim 3, wherein each communication attribute comprises tone, tempo, pattern of speech, syntax, grammar, or any combination thereof.

5. The system of claim 1, further comprising instructions that, when executed, predict user input.

6. The system of claim 1, further comprising instructions that, when executed, rank the user request to prioritize requests for the user.

7. The system of claim 1, further comprising instructions that, when executed, determine success of the output in addressing the user request.

8. A method for assisting a user, which comprises:

receiving, by one or more processors, at least one request from the user;

entering, by the one or more processors, the at least one request into an algorithm trained to output a personality type of the user from three or more personality types based on the at least one user request;

generating, by the one or more processors, a set of outputs responsive to the least one input;

ranking and selecting, by the one or more processors, an output from the set of outputs based on the one personality type;

delivering, by the one or more processors, the ranked and selected output to the user in a modality based on type of a device configured to deliver the output to the user; and

determining a distress level or engagement level of the user, or both, based on the ranked and selected output and the modality of delivery, and weighting the ranked and selected output for one or more future interactions with the user.

9. The method of claim 8, which further comprises extracting one or more attributes from the request.

10. The method of claim 9, wherein each attribute is a data attribute that comprises engagement, distress, mental state, or any combination thereof.

11. The method of claim 8, which further comprises updating the personality type based on additional input.

12. The method of claim 8, which further comprises determining what the user may request in the future based at least in part on the personality type and success with determining previous output.

13. The method of claim 8, wherein the output exhibits a personality type that is complementary to the user'"'"'s personality type.

14. The method of claim 8, which further comprises determining success of the output in meeting the user'"'"'s request.

15. A non-transitory computer readable article comprising a plurality of instructions comprising:

instructions that, when executed, receive a request from a user;

instructions that, when executed, identify a personality type of the user from three or more personality types based on the request;

instructions that, when executed, determine a set of outputs responsive to the received user request;

instructions that, when executed, rank the outputs in the set based on the identified personality type of the user;

instructions that, when executed, extract at least one attribute from the request;

instructions that, when executed, formulate an output responsive to the request and the personality type and deliver the responsive output to the user in a modality based on type of a device configured to deliver the output to the user; and

instructions that, when executed, determine a distress level or engagement level of the user, or both, based on the responsive output delivered and the modality of delivery, and weight the responsive output for one or more future interactions with the user.

16. The non-transitory computer readable article of claim 15, wherein the instructions that identify a personality type of the user comprise instructions, that when executed, subject the request to a linguistic-based algorithm to yield a score.

17. The non-transitory computer readable article of claim 15, wherein the at least one attribute is a data attribute that comprises engagement, distress, mental state, communication style, or any combination thereof.

18. The non-transitory computer readable article of claim 15, further comprising instructions, that when executed, predict input from the user.

19. The non-transitory computer readable article of claim 15, further comprising instructions that, when executed, update the personality type based on additional input from the user.

20. The non-transitory computer readable article of claim 15, further comprising instructions that, when executed, determine success of the output.

21. A system adapted to assist a user, which comprises:

a storage device storing a non-transitory computer readable program; and

a processor executing the non-transitory computer readable program comprising;

a communication module adapted to receive a user request;

a scoring module adapted to use the user request to determine a personality type of the user from three or more personality types based on one or more user requests;

a scoring module adapted to provide a set of outputs based on the input ranked according to the personality type of the user;

an interaction module that provides at least one of the set of outputs to the user in a modality based on the request the personality type of the user, and type of a device configured to deliver the at least one set of outputs to the user; and

a predictive module adapted to determine a distress level or engagement level of the user, or both, based on the provided output and the modality of delivery, and weight the provided output for one or more future interactions with the user.

22. The system of claim 21, further comprising an execution module adapted to perform one or more tasks in response to the user request.

23. The system of claim 21, wherein the predictive module is further adapted to use the user request to determine what the user may request in the future.