CONTEXT DERIVED BEHAVIOR MODELING AND FEEDBACK

• US 20160180723A1
• Filed: 12/22/2014
• Published: 06/23/2016
• Est. Priority Date: 12/22/2014
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Tatourian, Igor, Li, Hong, Wouhaybi, Rita H.
• Application Number:
  US14/579,196
• Publication Number:
  US 20160180723A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

System and techniques for context derived behavior modeling and feedback are described herein. A set of data about an environment and a person may be obtained from a plurality of devices present in the environment. The plurality of devices may include sensors. A behavior may be identified based on a comparison of the set of data to a behavior model. A recommended action to address the behavior may be generated. The recommended action may be communicated to at least one party influenced by the behavior.

Claims

1. A system for context derived behavior modeling and feedback, the system comprising:

a data acquisition circuit set to obtain a set of data about an environment and a person from a plurality of devices present in the environment, the plurality of devices including sensors;

a behavior modeling circuit set to identify a behavior based on a comparison of the set of data to a behavior model;

an action recommendation circuit set to generate a recommended action to address the behavior; and

a communication circuit set to communicate the recommended action to at least one party influenced by the behavior.

2. The system of claim 1, wherein a data element of the set of data includes at least one metadata element containing a characteristic of the data element based on the identified behavior.

3. The system of claim 2, wherein the recommended action is based at least in part on the at least one metadata element.

4. The system of claim 1, wherein the person is a member of a plurality of people and the set of data includes data about the plurality of people.

5. The system of claim 4, wherein the plurality of people is determined by both a temporal and a proximal relationship between the person and the plurality of people.

6. The system of claim 1, wherein the plurality of devices including sensors includes at least one of a temperature sensor, an audio sensor, a motion sensor, or an image sensor.

7. The system of claim 1, wherein the environment includes at least one of a living area, a work area, or a recreation area.

8. The system of claim 1, wherein to communicate the recommended action, includes the communication circuit set to:

communicate the recommended action to a third party, wherein the third party and the person have a relationship;

receive a response to the communication from the third party; and

modify the recommended action communicated to the at least one party influenced by the behavior based on the response.

9. A method for context derived behavior modeling and feedback, the method comprising:

obtaining, via a transceiver, a set of data about an environment and a person from a plurality of devices present in the environment, the plurality of devices including sensors;

identifying a behavior based on a comparison of the set of data to a behavior model;

generating a recommended action to address the behavior; and

communicating the recommended action to at least one party influenced by the behavior.

10. The method of claim 9, wherein a data element of the set of data includes at least one metadata element containing a characteristic of the data element based on the identified behavior.

11. The method of claim 10, wherein the recommended action is based at least in part on the at least one metadata element.

12. The method of claim 9, wherein the person is a member of a plurality of people and the set of data includes data about the plurality of people.

13. The method of claim 12, wherein the plurality of people is determined by both a temporal and a proximal relationship between the person and the plurality of people.

14. The method of claim 9, wherein the plurality of devices including sensors includes at least one of a temperature sensor, an audio sensor, a motion sensor, or an image sensor.

15. The method of claim 9, wherein the environment includes at least one of a living area, a work area, or a recreation area.

16. The method of claim 9, wherein communicating the recommended action includes:

communicating the recommended action to a third party, wherein the third party and the person have a relationship;

receiving a response to the communication from the third party; and

modifying the recommended action communicated to the at least one party influenced by the behavior based on the response.

17. At least one machine-readable medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:

obtaining, via a transceiver, a set of data about an environment and a person from a plurality of devices present in the environment, the plurality of devices including sensors;

identifying a behavior based on a comparison of the set of data to a behavior model;

generating a recommended action to address the behavior; and

communicating the recommended action to at least one party influenced by the behavior.

18. The at least one machine-readable medium of claim 17, wherein a data element of the set of data includes at least one metadata element containing a characteristic of the data element based on the identified behavior.

19. The at least one machine-readable medium of claim 18, wherein the recommended action is based at least in part on the at least one metadata element.

20. The at least one machine-readable medium of claim 17, wherein the person is a member of a plurality of people and the set of data includes data about the plurality of people.

21. The at least one machine-readable medium of claim 20, wherein the plurality of people is determined by both a temporal and a proximal relationship between the person and the plurality of people.

22. The at least one machine-readable medium of claim 17, wherein the plurality of devices including sensors includes at least one of a temperature sensor, an audio sensor, a motion sensor, or an image sensor.

23. The at least one machine-readable medium of claim 17, wherein the environment includes at least one of a living area, a work area, or a recreation area.

24. The at least one machine-readable medium of claim 17, wherein communicating the recommended action includes:

communicating the recommended action to a third party, wherein the third party and the person have a relationship;

receiving a response to the communication from the third party; and

modifying the recommended action communicated to the at least one party influenced by the behavior based on the response.