CONTEXT-AWARE DECISION MAKING

• US 20150324698A1
• Filed: 11/17/2014
• Published: 11/12/2015
• Est. Priority Date: 05/06/2014
• Status: Active Grant

• Current Assignee: Avago Technologies International Sales Pte Limited (Broadcom, Inc.)
• Original Assignee: Broadcom Corporation (Broadcom, Inc.)
• Inventors: KARAOGUZ, Jeyhan, KELLERMAN, Marcus Christopher, WALLEY, John Stuart, BENNETT, James Duane, CHEN, Xuemin, BLANCHE, Bradley Donald
• Granted Patent: US 10,110,677 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A context-aware decision making system may include at least one processor circuit that is configured to obtain an environmental profile of an environment associated with a user. The at least one processor circuit is configured to determine a predicted behavior of the user based at least on the obtained environmental profile. The at least one processor circuit may be configured to determine the predicted behavior of the user using at least one predictive model associated with the user. The at least one processor circuit may be configured to perform an action related to the predicted behavior of the user, such as an action that facilitates the predicted behavior of the user, an action that impedes the predicted behavior of the user, and/or an action that provides information related to the predicted behavior of the user.

Claims

1. A method performed by a processing device, the method comprising:

obtaining an environmental profile of an environment associated with a user;

determining a predicted behavior of the user based at least on the environmental profile; and

performing an action related to the predicted behavior of the user.

2. The method of claim 1, further comprising:

obtaining a current biometric profile of the user based at least on biometric data received from a sensor device that is coupled to the user; and

determining a suggested behavior of the user based at least on the environmental profile and the current biometric profile of the user,

wherein performing the action comprises performing the action to facilitate conforming the predicted behavior of the user to the suggested behavior of the user.

3. The method of claim 1, further comprising:

generating a user behavioral predictive model based at least on historical behaviors of the user and associated historical environmental profiles, at least one of the historical behaviors being determinable from sensor data received from a sensor device associated with the user; and

determining the predicted behavior of the user by applying the environmental profile to the user behavioral predictive model.

4. The method of claim 1, further comprising:

receiving a behavioral policy associated with the user; and

determining whether the predicted behavior of the user conforms with the behavioral policy,

wherein performing the action comprises impeding the predicted behavior when the predicted behavior does not conform to the behavioral policy.

5. The method of claim 1, wherein performing the action related to the predicted behavior of the user comprises at least one of:

providing information related to the predicted behavior of the user;

or

facilitating the predicted behavior of the user.

6. The method of claim 5, further comprising:

receiving biometric data from a sensor device associated with the user; and

filtering the information related to the predicted behavior of the user based on at least one of the biometric data or a recent behavior of the user.

7. The method of claim 1, wherein the environmental profile comprises at least one of a location, a time of day, proximal device information, or recent behavioral information.

8. The method of claim 7, wherein obtaining the environmental profile associated with the user comprises:

receiving data from at least one of a sensor device associated with the user or a proximal device that the user is interacting with; and

obtaining the environmental profile associated with the user based at least on the received data.

9. A device comprising:

at least one processor circuit that is configured to;

obtain an environmental profile of an environment associated with a user;

determine an expected biometric profile of the user based at least on the environmental profile;

obtain a current biometric profile of the user; and

perform an action to facilitate conforming the current biometric profile of the user to the expected biometric profile.

10. The device of claim 9, wherein the at least one processor circuit is configured to:

obtain another current biometric profile of another user; and

perform the action that is expected to facilitate conforming the current biometric profile of the user and the another current biometric profile of the another user to the expected biometric profile.

11. The device of claim 9, wherein the at least one processor circuit is configured to:

obtain the current biometric profile of the user by receiving biometric data from a sensor device that is coupled to the user.

12. The device of claim 9, wherein the at least one processor circuit is configured to:

generate a user biometric model based at least on a plurality of recommended biometric profiles associated with a plurality of environment profiles, the plurality of recommended biometric profiles being adjusted based at least on historical biometric profile data of the user; and

determine the expected biometric profile of the user by applying the environmental profile to the user biometric model.

13. The device of claim 12, wherein the at least one processor circuit is configured to:

receive a plurality of biometric profiles of the user that are mapped to a plurality of behaviors of the user; and

determine a biometric profile adjustment for conforming the current biometric profile to the expected biometric profile,

wherein performing the action facilitates one of the plurality of behaviors of the user that is mapped to one of the plurality of biometric profiles that achieves the biometric profile adjustment.

14. The device of claim 13, wherein the at least one processor circuit is configured to:

receive sensor data from at least one sensor device to obtain the environmental profile of the environment.

15. The device of claim 9, wherein the environment is associated with additional users and the at least one processor circuit is configured to:

receive expected biometric profiles and current biometric profiles of the additional users from devices of the additional users; and

perform the action to facilitate conforming the current biometric profiles of the additional users and the user to the expected biometric profiles of the additional users and the user, respectively.

16. The device of claim 15, wherein the at least one processor circuit is configured to:

assimilate preferences of the additional users received from the devices of the additional users; and

perform the action to facilitate the conforming based at least in part on the assimilated preferences of the additional users.

17. The device of claim 16, wherein the at least one processor circuit is configured to:

determine a subset of the preferences that are shared by a threshold number of the additional users; and

perform the action to facilitate the conforming based at least in part on the subset of the preferences of the additional users.

18. The device of claim 16, wherein the at least one processor circuit is configured to:

provide, for display, the preferences of the additional users;

receive user input with respect to the displayed preferences of the additional users; and

perform the action to facilitate the conforming based at least in part on the received user input.

19. The device of claim 9, wherein the at least one processor circuit is configured to:

gather and store time-related data, the time-related data including bio-sensing data, user interaction data and software application data;

process the time-related data to identify bio-impacting relationships from which the expected biometric profile of the user is determinable;

identify the current biometric profile from the bio-sensing data; and

respond to the identification by performing the action in an attempt to alter future bio-sensing data.

20. The device of claim 9, wherein the at least one processor circuit is configured to:

store, with a timing relationship, first data, the first data including bio-sensing related data and software application related data gathered over a period of time;

processing the first data to identify software application related data as having a first bio-impact; and

perform the action to cause a future generation of the software application related data to cause the first bio-impact in order to facilitate conforming the current biometric profile of the user to the expected biometric profile.

21. The device of claim 9, wherein the at least one processor circuit is configured to:

store, with a timing relationship, gathered data, the gathered data including bio-sensing related data and device operational data collected over time;

process the gathered data to identify a predictive association between a first portion of the bio-sensing related data and a first portion of the device operational data; and

perform the action to cause a future generation of the device operational data in response to obtaining the current biometric profile of the user, wherein the current biometric profile of the user comprises future counterparts of the first portion of the bio-sensing related data.

22. The device of claim 21, wherein conforming the current biometric profile of the user to the expected biometric profile of the user comprises maintaining the current biometric profile of the user.

23. The device of claim 21, wherein the action comprises at least one of sending a communication to a remote device, providing an offer to a user, performing a software reconfiguration, or performing a software selection.

24. The device of claim 21, wherein the at least one processor circuit is configured to:

process the gathered data to identify the predictive association between the first portion of the bio-sensing related data, the first portion of the device operational data, and at least one non-bio-sensing context information item.

25. The device of claim 21, wherein the gathered data originates from at least one of within the device or from other environmental devices.

26. A computer program product comprising instructions stored in a tangible computer-readable storage medium, the instructions comprising:

instructions for obtaining a user behavioral predictive model that is configured to predict user behavior based at least on a biometric data item collected from a user;

instructions for collecting at least one current biometric data item from the user;

instructions for applying the at least one current biometric data item to the user behavioral predictive model to determine a predicted user behavior; and

instructions for providing information to the user based at least on the predicted user behavior and an environmental variable associated with the user.

27. The computer program product of claim 26, wherein the environmental variable is indicative of at least one of a location of the user, a time of day, a device in proximity to the user, data received from the device in proximity to the user, or a recent behavior performed by the user.

28. The computer program product of claim 26, wherein the instructions for providing the information related at least to the predicted user behavior and the environmental variable associated with the user further comprises:

instructions for determining a set of information that may be relevant to the user based at least on the predicted user behavior; and

instructions for selecting the information from the set of information based at least on the environmental variable.

29. The computer program product of claim 26, wherein the instructions for obtaining the user behavioral predictive model further comprises:

instructions for receiving a plurality of historical user behavioral data items that describe a plurality of user behaviors performed by the user, wherein each of the plurality of historical user behavioral data items is associated with at least one of a plurality of biometric data items that was collected temporally proximal to a time when each of the corresponding plurality of user behaviors was performed by the user; and

instructions for generating the user behavioral predictive model based at least in part on the plurality of historical user behavioral data items and the associated plurality of biometric data items.

30. The computer program product of claim 29, the instructions further comprising:

instructions for augmenting the user behavioral predictive model based at least on a location of the user at the time when each of the plurality of user behaviors were performed by the user, wherein the augmented user behavioral predictive model is configured to predict user behavior based at least on the at least one biometric collected from the user and a current location of the user when the biometric data item is collected.

31. The computer program product of claim 30, wherein at least one of the plurality of historical user behavioral items is associated with a set of biometric data items collected over a period of time that collectively describe a biological rhythm.

32. A method performed by a processing device, the method comprising:

storing, with a timing relationship, data, the data including bio-sensing data and software application data gathered over a period of time;

processing the data to identify bio-impacting relationships;

identifying a triggering event from the bio-sensing data; and

responding to the identification by performing an action in an attempt to alter future bio-sensing data.

33. The method of claim 32, further comprising:

processing the data to identify software application related data as having a first bio-impact; and

causing a future generation of the software application related data to cause the first bio-impact.

34. The method of claim 33, wherein the causing comprises at least one of:

sending communications to remote devices, an offer to a user, a software reconfiguration, or a software selection.

35. The method of claim 32, wherein the data further comprises user interaction data, and the method further comprises gathering the data from at least one of the processing device or another device.

36. The method of claim 32, wherein the data further comprises device operational data, and the method further comprises:

processing the data to identify a predictive association between a first portion of the bio-sensing data and a first portion of the device operational data; and

causing a future generation of the device operational data after encountering future counterparts of the first portion of the bio-sensing data.

37. The method of claim 36, wherein the predictive association is between the first portion of the bio-sensing data, the first portion of the device operational data and non-bio-sensing context information.