Filtering user actions based on user's mood

Patent metadata

Field	Value
Publication number	US-9483736-B2
Application number	US-201213988015-A
Country	US
Kind code	B2
Filing date	Oct 23, 2012
Priority date	Oct 23, 2012
Publication date	Nov 1, 2016
Grant date	Nov 1, 2016

Abstract

Technologies are provided for filtering user's actions based on user's mood. User's actions may include online actions. To prevent “in the heat of the moment” actions, which a user may regret later, a mood based filter may identify a user action such as posting a message to a social network, a professional network, an email network, a blog, or an instant message network. An automatic system action may then be taken based on the detected user's mood. In some examples, the user's mood may be assigned to a numeric or alphanumeric category. Various system actions such as blocking or delaying the user action may be tied or associated to the user's mood category through one or more predefined, customizable rules. In other examples, a user confirmation of the user action may also be included in addition to the automatic system action.

First claim

What is claimed is:

1. A method to filter user's actions based on user's mood, the method comprising:
detecting a user's mood through one or more of: keystroke dynamics detection, facial feature analysis, body composure analysis, biological parameter analysis, and recent communication content analysis, wherein the biological parameters include one or more of a blood pressure, a heartbeat, and a body temperature;
determining a mood indicator value based on the detected user's mood;
identifying a user action, wherein the user action comprises posting a message to one or more of a social network, a professional network, an email network, a blog, and an instant message network;
determining a system action based on the mood indicator value and the user action, wherein the system action includes one of:
blocking an execution of the user action;
delaying the execution of the user action for a particular time period, and upon expiration of the particular time period, presenting a confirmation option for execution of the user action; and
directing the user action to an alternate destination for execution; and

applying the system action.

2. The method of claim 1 , wherein the keystroke dynamics include one or more of keystroke strength and keystroke speed.

3. The method of claim 1 , further comprising determining the mood indicator value as one of a plurality of alphanumeric categories.

4. The method of claim 1 , further comprising determining the mood indicator value as one of a plurality of numeric values.

5. The method of claim 1 , further comprising determining the system action further based on one or more of a time of day, a location of the user, and a computing device employed by the user.

6. The method of claim 1 , further comprising determining the system action based on applying one or more rules.

7. The method of claim 6 , wherein the one or more rules are predefined rules customizable by the user.

8. A computing device to filter user's actions based on user's mood, the computing device comprising:
a memory configured to store instructions;
a processor configured to execute a mood based control application in conjunction with the instructions stored in the memory, wherein the mood based control application is configured to:
detect a user's mood through one or more of: keystroke dynamics detection, facial feature analysis, body composure analysis, biological parameter analysis, and recent communication content analysis, wherein the biological parameters include one or more of a blood pressure, a heartbeat, and a body temperature and wherein the keystroke dynamics include one or more of keystroke strength and keystroke speed;

determine a mood indicator value based on the detected user's mood;
identify a user action, wherein the user action comprises posting a message to one or more of a social network, a professional network, an email network, a blog, and an instant message network;
determine a system action based on the mood indicator value and the user action, wherein the system action includes to one of:
block an execution of the user action;
delay the execution of the user action for a particular time period, and upon expiration of the particular time period, presenting a confirmation option for execution of the user action; and
direct the user action to an alternate destination for execution; and

apply the system action.

9. The computing device of claim 8 , wherein the mood based control application is further configured to determine the mood indicator value as one of a plurality of alphanumeric categories.

10. The computing device of claim 8 , wherein the mood based control application is further configured to determine the mood indicator value as one of a plurality of numeric values.

11. The computing device of claim 8 , wherein the mood based control application is further configured to determine the system action based on applying one or more rules.

12. The computing device of claim 8 , wherein the mood based control application is further configured to prompt the user to confirm application of the system action.

13. The computing device of claim 8 , wherein the computing, device is one of a desktop computer, a laptop computer, a handheld computer, a tablet computer, or a smart phone.

14. The computing device of claim 8 , wherein the computing device is a server accessible to user computing devices through one or more networks.

15. A non-transitory computer readable memory device with instructions stored thereon to filter user's actions based on user's mood, the instructions comprising:
detecting a user's mood through one or more of: keystroke dynamics detection, facial feature analysis, body composure analysis, biological parameter analysis, and recent communication content analysis, wherein the biological parameters include one or more of a blood pressure, a heartbeat, and a body temperature;
determining a mood indicator value based on the detected user's mood;
identifying a user action that includes posting a message to one or more of a social network, a professional network, an email network, a blog, and an instant message network;
determining a system action based on the mood indicator value and the user action, wherein the system action includes one of:
blocking the execution of the user action;
delaying the execution of the user action for a particular time period, and upon expiration of the particular time period, presenting a confirmation option for execution of the user action; and

directing the user action to an alternate destination for execution and applying the system action.

16. The non-transitory computer readable memory device of claim 15 , wherein the instructions further comprise determining the mood indicator value as one of a plurality of alphanumeric categories wherein the plurality of alphanumeric categories include one or more of neutral, happy, sad, depressed, or angry.

17. The non-transitory computer readable memory device of claim 15 , wherein the instructions further comprise determining the mood indicator value as one of a plurality of numeric values.

18. The non-transitory computer readable memory device of claim 15 , wherein the instructions further comprise determining the system action further based on one or more of a time of day, a location of the user, and a computing device employed by the user.

19. The non-transitory computer readable memory device of claim 15 , wherein the instructions further comprise determining the system action based on applying one or more rules.

20. The non-transitory computer readable memory device of claim 19 , wherein the one or more rules are predefined rules customizable by the user.

21. The non-transitory computer readable memory device of claim 15 , wherein the instructions further comprise performing a calibration of a mood detection module based on user characteristics.

Assignees

• Empire Technology Dev Llc

Inventors

• Wan Feng
• Madabushi Raghuram
• Wang Yiyang

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06N5/04 Primary

  Inference or reasoning models · CPC title

• G06Q10/107 Primary

  Computer-aided management of electronic mailing [e-mailing] · CPC title

• G06Q50/01

  Physics · mapped topic