Situational and global context aware calendar, communications, and relationship management

• US 9,953,304 B2
• Filed: 09/20/2013
• Issued: 04/24/2018
• Est. Priority Date: 12/30/2012
• Status: Active Grant

• Current Assignee: Buzd, LLC
• Original Assignee: Buzd, LLC
• Inventors: Goldsmith, David, Shuster, Gary Stephen
• Primary Examiner(s): Algibhah, Hamza
• Application Number:
  US14/032,621
• Publication Number:
  US 20140189016A1
• Time in Patent Office: 1,677 Days
• Field of Search: 709205
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• 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 situational and global context aware calendar, communications, and/or relationship management method and system is disclosed. The system is configured to receive from at least one environmental data gathering device, data about at least one target participant at a gathering of a plurality of participants, analyze such data to determine at least one observed behavior of said target participant, compare said at least one observed behavior against a dataset of at least one behavior; determine when said at least one behavior exceeds a threshold similarity to at least behavior in said dataset; and communicate, to at least one notification device, said at least one observed behavior.

Claims

1. An apparatus, comprising:

a device comprising a processor, a memory, and a network interface, wherein the memory holds instructions that, when executed by the processor, cause the device to;

receive, from at least one environmental data gathering device, data about an interaction of a first participant with at least one target participant at a gathering of a plurality of participants;

analyze the data to determine at least one observed interaction of the first participant with the at least one target participant;

select one or more datasets of cultural behavioral expectations relevant to the at least one target participant, where relevancy is based on analysis of data derived from public and/or private data sources;

compare the at least one observed interaction against the selected one or more datasets of cultural behavioral expectations relevant to the at least one target participant;

determine when said at least one observed interaction exceeds a threshold similarity to at least one cultural behavioral expectation in said dataset; and

communicate, to at least one notification device of the first participant, said at least one observed interaction, wherein the at least one notification device is a display polarized in a manner that obscures a notification message unless a user is wearing glasses capable of interacting with polarized light in a set manner.

2. The apparatus of claim 1, wherein the one or more datasets apply to persons meeting specified criteria.

3. The apparatus of claim 1, wherein the relevancy is based on data from one of Facebook or LinkedIn and access to the one of Facebook or LinkedIn is accomplished by utilizing credentials for the user on whose behalf the apparatus is being operated.

4. The apparatus of claim 1, wherein the at least one environmental data gathering device is a camera, and wherein the at least one observed interaction is a distance between the first participant and the target participant.

5. The apparatus of claim 4, wherein the camera is coupled wirelessly to the device executing the instructions.

6. The apparatus of claim 1, wherein the at least one cultural behavioral expectation in the dataset is a socially desirable or undesirable behavior.

7. The apparatus of claim 1, wherein the at least one cultural behavioral expectation in the dataset is a culturally desirable or undesirable behavior.

8. A computerized method comprising:

selecting one or more datasets of cultural behavioral expectations relevant to at least one target participant, where relevancy is based on analysis of data derived from at least one of public data systems, public data sources, private data systems, or private data sources;

receiving, from at least one environmental data gathering device, data about an interaction of a first participant with a target participant at a gathering of a plurality of participants;

analyzing the data to determine at least one observed behavior of the first participant with the target participant;

identifying a dataset of cultural behavioral expectations relevant to interactions with the target participant;

comparing said at least one observed behavior against the dataset;

determining when said at least one observed behavior exceeds a threshold similarity to at least one cultural behavioral expectation in said dataset, wherein the threshold similarity is determined by the strength of the correlation between the at least one observed behavior to the at least one cultural behavioral expectation in the dataset; and

communicating, to at least one notification device of the first participant, said at least one observed behavior, wherein the at least one notification device is a display polarized in a manner that obscures a notification message unless a user is wearing glasses capable of interacting with polarized light in a set manner.

9. The method of claim 8, wherein the relevancy is based on data from one of Facebook or LinkedIn and access to the one of Facebook or LinkedIn is accomplished by utilizing credentials for the user of the computerized method.

10. The method of claim 8, wherein the dataset applies to persons meeting specified criteria.

11. The method of claim 8, wherein the at least one environmental data gathering device is a camera, and wherein the at least one observed behavior is a distance between the first participant and the target participant.

12. The method of claim 8, wherein the stronger the correlation, the lower the threshold similarity.

13. The method of claim 11, wherein the at least one camera is coupled wirelessly to the device executing the instructions.

14. The method of claim 8, wherein the at least one behavior is alcohol consumption, and the communicating is a message indicating the blood alcohol level and/or level of impairment based on one or more of actual or estimated weight, gender, or estimated metabolization rate.

15. A non-transitory computer-readable storage, comprising instructions executable by one or more processors to perform a method comprising:

selecting one or more datasets of cultural behavioral expectations relevant to the at least one target participant, where relevancy is based on analysis of data derived from public data sources;

receiving, from at least one camera, data about an interaction of a first participant with a target participant at a gathering of a plurality of participants;

analyzing the data to determine at least one observed behavior of the first participant with the target participant;

comparing said at least one observed behavior against a dataset of cultural behavioral expectations;

determining when said at least one behavior exceeds a threshold similarity to at least one cultural behavioral expectation in said dataset, wherein the threshold similarity is determined by the strength of the correlation between the at least one observed behavior to the at least one cultural expectation in the dataset; and

communicating, to at least one notification device of the first participant, said at least one observed behavior, wherein the at least one notification device is a display polarized in a manner that obscures a notification message unless a user is wearing glasses capable of interacting with polarized light in a set manner.

16. The non-transitory computer-readable storage of claim 15, wherein the at least one cultural behavioral expectation in the dataset is a socially desirable or undesirable behavior.

17. The non-transitory computer-readable storage of claim 15, wherein the dataset applies to persons meeting specified criteria.

18. The non-transitory computer-readable storage of claim 15, wherein the at least one behavior is alcohol consumption, and the communicating is a message indicating the blood alcohol level and/or level of impairment based on one or more of actual or estimated weight, gender, or estimated metabolization rate.

19. The non-transitory computer-readable storage of claim 15, wherein the at least one camera is coupled wirelessly to the device executing the instructions.

20. The non-transitory computer-readable storage of claim 15, wherein the at least one cultural behavioral expectation in the dataset is a culturally desirable or undesirable behavior.