Biometric-based sentiment management in a social networking environment

Patent metadata

Field	Value
Publication number	US-11240189-B2
Application number	US-201615294673-A
Country	US
Kind code	B2
Filing date	Oct 14, 2016
Priority date	Oct 14, 2016
Publication date	Feb 1, 2022
Grant date	Feb 1, 2022

Abstract

Disclosed aspects relate to biometric-based sentiment management in a social networking environment. A set of biometric data for an originating-user of an electronic message may be detected using a set of biometric sensors. Based on the set of biometric data, an originating-user sentiment for at least a portion of the electronic message may be determined. The electronic message and the originating-user sentiment for at least the portion of the electronic message may be compiled to establish a compiled message. The compiled message which indicates the originating-user sentiment for at least the portion of the electronic message may be provided in the social networking environment.

First claim

What is claimed is:

1. A computer-implemented method for biometric-based sentiment management in a social networking environment, the method comprising:
detecting, using a set of biometric sensors, a set of biometric data for an originating-user of an electronic message;
determining, based on the set of biometric data, an originating-user sentiment for at least a portion of the electronic message;
composing the electronic message and the originating-user sentiment for at least the portion of the electronic message, wherein composing the electronic message and the originating-user sentiment comprises:
modifying content of the electronic message to only include the portion of the electronic message associated with the originating-user sentiment, and
establishing the portion of the electronic message and associated sentiment together in a single data package; and

providing, in the social networking environment, the composed message which indicates the originating-user sentiment for at least the portion of the electronic message.

2. The method of claim 1 , further comprising:
analyzing, in a dynamic fashion, the set of biometric data using a biometric analysis technique to determine the originating-user sentiment.

3. The method of claim 2 , further comprising:
attaching, in an automated fashion, a sentiment indicator to the electronic message to compose the message.

4. The method of claim 2 , further comprising:
computing, based on the biometric analysis technique, a confidence score for the originating-user sentiment for at least the portion of the electronic message.

5. The method of claim 3 , further comprising:
introducing, in the automated fashion based on the originating-user sentiment, an emoticon to the composed message.

6. The method of claim 3 , further comprising:
displaying the sentiment indicator in the social networking environment, wherein the sentiment indicator includes a confidence score for the originating-user sentiment for at least the portion of the electronic message.

7. The method of claim 1 , wherein the set of biometric data comprises a heart rate, a blood pressure, a stress score, a pupil dilation, a glucose value, a body temperature, a movement speed, a movement frequency, a set of fingerprint information, a set of facial features, and a set of body language information.

8. The method of claim 1 , further comprising:
analyzing, to determine the originating-user sentiment with respect to the electronic message, the set of biometric data using a machine learning technique configured for the originating-user.

9. The method of claim 1 , further comprising:
analyzing, to determine the originating-user sentiment with respect to the electronic message, the electronic message using a natural language processing technique configured for the originating-user.

10. The method of claim 1 , further comprising:
identifying a trusted relationship between the originating-user and a recipient-user by connecting to a social media network environment and determining that the originating-user and the recipient-user are registered as mutual friends, wherein the trusted relationship indicates the recipient-user is authorized to view the originating-user sentiment.

11. The method of claim 10 , wherein providing, in the social networking environment, the composed message which indicates the originating-user sentiment for at least the portion of the electronic message includes:
transmitting the composed message from the originating-user to a recipient-user.

12. The method of claim 11 , further comprising:
receiving, from the recipient-user, a set of feedback data for the composed message to facilitate a set of future sentiment determinations.

13. The method of claim 11 , further comprising:
receiving a permissible location for the originating-user from the recipient-user;
sensing a current location of the originating-user;
comparing the current location of the originating-user to the permissible location;
receiving an electronic query from the recipient-user to the originating-user in response to ascertaining the current location of the originating-user matches the permissible location; and
comparing the biometric data of the originating-user to the content of the electronic message to determine inconsistencies indicating a truthfulness of the electronic message in advance of determining the originating-user sentiment,
wherein the electronic message constitutes a response by the originating-user to the recipient's query, wherein the set of biometric data indicates a current heart rate which exceeds a heart rate benchmark based on the content of the electronic message, and wherein the electronic message indicates that the originating-user sentiment for the response to the electronic query has an untruthfulness factor which exceeds an untruthfulness threshold.

14. The method of claim 11 , further comprising:
receiving an electronic query from the recipient-user to the originating-user; and
capturing, from the originating-user in response to receiving the electronic query, the electronic message in advance of determining the originating-user sentiment,

wherein a threshold length exceeds an actual length of the electronic message, wherein the electronic message includes a punctuation mark, and wherein the composed message indicates that the originating-user sentiment for a response to the electronic query has a current emotion which exceeds a benchmark emotion by a threshold deviation based on both the actual length of the electronic message and the punctuation mark.

15. The method of claim 11 , further comprising:
assessing, based on both the set of biometric data and a set of semantic elements of the electronic message, the originating-user sentiment; and
presenting, in an automated fashion, a sentiment assessment as part of the composed message when a confidence value for the sentiment assessment exceeds a sentiment confidence value threshold.

16. A computer-implemented method for biometric-based sentiment management in a social networking environment, the method comprising:
detecting a set of biometric data for an originating-user of an electronic message using a set of biometric sensors;
determining an originating-user sentiment for at least a portion of the electronic message based on the set of biometric data;
truncating the electronic message to only include the portion of the electronic message associated with the originating-user sentiment,
bundling the truncated portion of the electronic message and associated originating-user sentiment together in a single data package; and
providing, in the social networking environment, the bundled message which indicates the originating-user sentiment for at least the portion of the electronic message.

17. The method of claim 16 , further comprising:
identifying a trusted relationship between the originating-user and a recipient-user by connecting to a social media network environment and determining that the originating-user and the recipient-user are registered as mutual friends, wherein the trusted relationship indicates the recipient-user is authorized to view the originating-user sentiment.

18. A computer-implemented method for biometric-based sentiment management in a social networking environment, the method comprising:
detecting a set of biometric data for an originating-user of an electronic message using a set of biometric sensors, wherein the set of biometric data comprises a pupil dilation, a glucose value, a body temperature, a set of facial f

Assignees

• IBM

Inventors

• Deluca Lisa Seacat
• Silva Asima

Classifications

• G06Q10/40

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

• H04L67/52

  specially adapted for the location of the user terminal · CPC title

• H04L51/52 Primary

  for supporting social networking services · CPC title

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• H04L51/08

  Annexed information, e.g. attachments · CPC title