USER ADAPTIVE INTERFACES

• US 20160092160A1
• Filed: 09/26/2014
• Published: 03/31/2016
• Est. Priority Date: 09/26/2014
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Graff, Peter, Quirino Simoes, Ana Paula, Nakatsu, Crystal A., Christian, Jessica M.
• Application Number:
  US14/497,984
• Publication Number:
  US 20160092160A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3641 Personalized guidance, e.g. limited guidance on previously travelled routes
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G10L 13/00 Speech synthesis; Text to speech systems
• CPC Class Codes: G10L 13/033 Voice editing, e.g. manipulating the voice of the synthesiser
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
• 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 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
• CPC Class Codes: G10L 2015/223 Execution procedure of a spoken command
• CPC Class Codes: G10L 2015/226 using non-speech characteristics
• CPC Class Codes: G10L 25/51 for comparison or discrimination

Abstract

Systems and methods for providing a user adaptive natural language interface are disclosed. The disclosed embodiments may receive and analyze user input to derive current user behavior data, including data indicative of characteristics of the user input. The user input is classified based on prior user behavior data previously logged during one or more previous user-system interactions and the current user behavior data to generate a classification of the user input. Machine learning algorithms can be employed to classify the user input. User adaptive utterances are selected based on the user input and the classification of the user input. The user-system interaction is logged for use as prior user behavior data in future user-system interactions. A response to the user input is generated, including synthesizing output speech from the user adaptive utterances selected. Example applications of the disclosed systems and methods provide user adaptive navigation directions in navigation systems.

Claims

1. A navigation system providing user adaptive navigation directions, comprising:

an input analyzer to analyze user input to derive a request for directions to a desired destination and to derive current user behavior data;

map data providing map information;

a route engine to generate a route from a first location to the desired destination using the map information;

a log engine to log a current user-system interaction, including current user behavior data; and

an adaptive directions engine to generate and present user adaptive navigation directions, by considering prior user behavior data and the current user behavior data to determine a classification of the user input and selecting user adaptive navigation directions based on the user input and the classification of the user input.

2. The navigation system of claim 1, wherein the classification of the user input includes user familiarity with a given territory along the route, wherein the user familiarity is derived from the prior user behavior data.

3. The navigation system of claim 1, further comprising a display, wherein the adaptive directions engine presents the user adaptive navigation directions as visual output via the display.

4. The navigation system of claim 3, wherein the visual output includes one or more of map data, route data, and text data.

5. The navigation system of claim 1, further comprising a natural language interface to present the user adaptive navigation directions as natural language output.

6. The navigation system of claim 5, wherein the natural language interface includes a speech synthesizer to synthesize audible output speech from the selected user adaptive directions to present through the natural language interface.

7. The navigation system of claim 1, further comprising a location engine to determine a current location of the navigation system, wherein the dialogue manager further selects user adaptive navigation directions based on the current location of the navigation system, and wherein the speech synthesizer converts to speech output the selected adaptive navigation directions based on the current location of the navigation system.

8. The navigation system of claim 1, wherein the route engine generates a plurality of potential routes from the first location to the desired destination using the map information, and

wherein the adaptive directions engine ranks the plurality of potential routes and selects user adaptive navigation directions for a highest ranked potential route of the plurality of potential routes.

9. The navigation system of claim 8, wherein the adaptive directions engine ranks the plurality of potential routes based, at least in part, on user preferences.

10. The navigation system of claim 8, wherein the adaptive directions engine ranks the plurality of potential routes based, at least in part, on crime rate in areas along each of the plurality of potential routes.

11. The navigation system of claim 1, wherein the user input includes an indication of an excluded portion of the route to exclude from the user adaptive navigation directions, and wherein the adaptive directions engine generates the user adaptive navigation directions that omit directions relative to the excluded portion of the route.

12. The navigation system of claim 11, wherein the user input comprises input speech, including spoken indication of the excluded portion.

13. A method of providing user adaptive navigation directions, the method comprising:

receiving on one or more computing devices user input including a request for navigation directions to initiate a user-system interaction;

analyzing on the one or more computing devices the user input to derive a desired destination and to derive current user behavior data;

generating a route from a first location to the desired destination using map information;

classifying on the one or more computing devices the user input based on prior user behavior data previously logged during one or more previous user-system interactions and the current user behavior data to generate a classification of the user input;

selecting user adaptive navigation directions based on the user input and the classification of the user input;

logging on the one or more computing devices the user-system interaction, including the current user behavior data; and

generating an output response to the user input, the output response including the selected user adaptive navigation direction.

14. The method of claim 13, wherein the classification of the user input includes user familiarity with a given territory along the route, wherein the user familiarity is derived from the prior user behavior data.

15. The method of claim 13, wherein generating an output response includes presenting the selected user adaptive navigation directions as visual output on a display screen.

16. The method of claim 15, wherein the visual output includes one or more of map data, route data, and text data.

17. The method of claim 13, wherein generating an output response includes synthesizing output speech from the selected user adaptive navigation directions.

18. The method of claim 13, further comprising determining a present location, wherein the selecting the user adaptive navigation directions is based, in part, on the current location of the navigation system.

19. The method of claim 13, wherein generating a route comprises generating a plurality of potential routes from a first location to a desired destination using the map information, the method further comprising:

ranking the plurality of potential routes,

wherein the user adaptive navigation directions are selected for a highest ranked potential route of the plurality of potential routes.

20. The method of claim 19, wherein the ranking of the plurality of potential routes is based, at least in part, on user preferences.

21. The method of claim 19, wherein the ranking of the plurality of potential routes is based, at least in part, on crime rate in areas along each of the plurality of potential routes.

22. The method of claim 13, wherein the user input indicates an excluded portion of the route to exclude from the user adaptive navigation directions, and wherein the selected user adaptive navigation directions omit directions relative to the excluded portion of the route.

23. At least one computer-readable medium having stored thereon instructions that, when executed by a processor, cause the processor to perform operations for providing user adaptive navigation directions, the operations comprising:

receiving on one or more computing devices user input including a request for navigation directions to initiate a user-system interaction;

analyzing on the one or more computing devices the user input to derive a desired destination and to derive current user behavior data;

generating a route from a first location to the desired destination using map information;

classifying on the one or more computing devices the user input based on prior user behavior data previously logged during one or more previous user-system interactions and the current user behavior data to generate a classification of the user input;

selecting user adaptive navigation directions based on the user input and the classification of the user input;

logging on the one or more computing devices the user-system interaction, including the current user behavior data; and

generating an output response to the user input, the output response including the selected user adaptive navigation direction.

24. The computer-readable medium of claim 23, wherein generating an output response includes presenting the selected user adaptive navigation directions as visual output on a display screen.

25. The computer-readable medium of claim 23, wherein generating an output response includes synthesizing output speech from the selected user adaptive navigation directions.

26. A system for providing a user adaptive natural language interface, comprising:

an input analyzer to analyze user input to derive current user behavior data, wherein the current user behavior data includes linguistic features of the user input;

a classifier to consider prior user behavior data and the current user behavior data and determine a classification of the user input;

a log engine to log a current user-system interaction, including current user behavior data; and

a dialog manager to present user adaptive utterances based on the user input and the classification of the user input.

27. The system of claim 26, wherein the classifier considers prior user behavior data and current user behavior data including statistical patterns of linguistic features to determine a classification of the user input, the statistical patterns inferred from the user input.

28. The system of claim 26, wherein the classifier further considers at least one of user settings and developer-generated rules to determine a classification of the user input.

29. The system of claim 26, wherein the input analyzer analyzes user input to derive a request for navigation directions to a desired location and wherein the user adaptive utterances are user adaptive navigation directions.

30. The system of claim 26, further comprising a speech synthesizer to synthesize output speech from the selected user adaptive utterances as an audible response.