Cognitive journey companion system

Patent metadata

Field	Value
Publication number	US-10527437-B2
Application number	US-201715469808-A
Country	US
Kind code	B2
Filing date	Mar 27, 2017
Priority date	Mar 27, 2017
Publication date	Jan 7, 2020
Grant date	Jan 7, 2020

Abstract

A system and method for cognitive risk mitigation are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.

First claim

The invention claimed is:

1. A method for cognitive mitigation of risks associated with a journey by a processor, comprising:
analyzing data gathered from a plurality of data sources relating to a journey of a user by parsing and filtering the data gathered from the plurality of data sources, wherein the plurality of data sources include at least a user profile, sensor based devices associated with the user and vehicle, data sources relating to Internet of Things (IoT) computing networks, governmental entities, and commercial entities;
cognitively reasoning and interacting with a user, via a cognitive component, wherein the reasoning and interacting include at least providing one or more suggestions relating to a risk of the journey; and
mitigating the risk of the journey by implementing the one or more suggestions.

2. The method of claim 1 , wherein cognitively reasoning and interacting with the user further includes providing one or more explanations relating to reasons for providing the one or more suggestions.

3. The method of claim 1 , wherein cognitively reasoning and interacting with the user further includes inferring an intention of the user relating to the journey.

4. The method of claim 1 , wherein cognitively reasoning and interacting with the user further includes sending one or more audible communications via an interactive voice dialog component.

5. The method of claim 4 , wherein the one or more audible communications further includes responding to an audible query received from the user relating to the one or more suggestions.

6. The method of claim 1 , further including implementing the one or more suggestions, wherein the implementing includes controlling a navigation system, an entertainment system, or a telecommunication system, or a combination thereof associated with the user.

7. The method of claim 1 , further including:
predicting an intention of the user relating to the journey according to a probability of the intention being selected based on a cognitive analysis of data gathered from a plurality of data sources;
determining the risk and a cause of the risk for the predicted intention of the user in relation to the journey; and
determining the one or more suggestions according to the analyzed data to reduce the risk determined for the predicted intention of the user in relation to the journey or an alternative journey.

8. The method of claim 1 , further including providing instructions for traveling the journey or an alternative journey based on the one or more suggestions.

9. The method of claim 1 , further including initializing a machine learning mechanism using feedback information to learn behavior of the user, a vehicle, a plurality of events of the user or the vehicle, and priorities and preferences of the user relating to the journey, modes of transportation, and the one or more suggestions.

10. A system for cognitive mitigation of risks associated with a journey, comprising:
one or more computers with executable instructions that when executed cause the system to:
analyze data gathered from a plurality of data sources relating to a journey of a user by parsing and filtering the data gathered from the plurality of data sources, wherein the plurality of data sources include at least a user profile, sensor based devices associated with the user and vehicle, data sources relating to Internet of Things (IoT) computing networks, governmental entities, and commercial entities;
cognitively reason and interact with a user, via a cognitive component, wherein the reasoning and interacting include at least providing one or more suggestions relating to a risk of the journey; and
mitigate the risk of the journey by implementing the one or more suggestions.

11. The system of claim 10 , wherein cognitively reasoning and interacting with the user further includes providing one or more explanations relating to reasons for providing the one or more suggestions.

12. The system of claim 10 , wherein cognitively reasoning and interacting with the user further includes inferring an intention of the user relating to the journey.

13. The system of claim 10 , wherein cognitively reasoning and interacting with the user further includes sending one or more audible communications via an interactive voice dialog component.

14. The system of claim 13 , wherein the one or more audible communications further includes responding to an audible query received from the user relating to the one or more suggestions.

15. The system of claim 10 , wherein the executable instructions further implement the one or more suggestions, wherein the implementing includes controlling a navigation system, an entertainment system, or a telecommunication system, or a combination thereof associated with the user.

16. The system of claim 10 , wherein the executable instructions further:
predict an intention of the user relating to the journey according to a probability of the intention being selected based on a cognitive analysis of data gathered from a plurality of data sources;
determine the risk and a cause of the risk for the predicted intention of the user in relation to the journey; and
determine the one or more suggestions according to the analyzed data to reduce the risk determined for the predicted intention of the user in relation to the journey or an alternative journey.

17. The system of claim 10 , wherein the executable instructions further provide instructions for traveling the journey or an alternative journey based on the one or more suggestions.

18. The system of claim 10 , wherein the executable instructions further initialize a machine learning mechanism using feedback information to learn behavior of the user, a vehicle, a plurality of events of the user or the vehicle, and priorities and preferences of the user relating to the journey, modes of transportation, and the one or more suggestions.

19. A computer program product for, by a processor, cognitive mitigation of risks associated with a journey, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
an executable portion that analyzes data gathered from a plurality of data sources relating to a journey of a user by parsing and filtering the data gathered from the plurality of data sources, wherein the plurality of data sources include at least a user profile, sensor based devices associated with the user and vehicle, data sources relating to Internet of Things (IoT) computing networks, governmental entities, and commercial entities;
an executable portion that cognitively reasons and interacts with a user, via a cognitive component, wherein the reasoning and interacting include at least providing one or more suggestions relating to a risk of the journey; and
an executable portion that mitigates the risk of the journey by implementing the one or more suggestions.

20. The computer program product of claim 19 , wherein cognitively reasoning and interacting with the user further includes providing one or more explanations relating to reasons for providing the one or more suggestions.

21. The computer program product of claim 19 , wherein cognitively reasoning and interacting with the user further includes inferring an intention of the user relating to the journey.

22. The computer program product of claim 19 , wherein cognitively reasoning and interacting with the u

Assignees

• IBM

Inventors

• Epperlein Jonathan
• Gambella Claudio
• Griggs Wynita M
• LASSOUED Yassine
• Marecek Jakub
• Mevissen Martin
• Monteil Julien
• Ordonez-Hurtado Rodrigo H
• Russo Giovanni
• Shorten Robert

Classifications

• G01C21/3461

  Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types or segments such as motorways, toll roads or ferries · CPC title

• G01C21/3415 Primary

  Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents · CPC title

• G06Q40/08

  Insurance · CPC title

• G01C21/20

  Instruments for performing navigational calculations (G01C21/24, G01C21/26 take precedence) · CPC title

• G01C21/005

  with correlation of navigation data from several sources, e.g. map or contour matching (G01C21/30 takes precedence) · CPC title