Sharing personalized data in an electronic online group user session

Patent metadata

Field	Value
Publication number	US-2022103492-A1
Application number	US-202017035760-A
Country	US
Kind code	A1
Filing date	Sep 29, 2020
Priority date	Sep 29, 2020
Publication date	Mar 31, 2022
Grant date	—

Abstract

Assessing, using a computer, a state of a participant and sharing personalized data for the participant in an electronic group meeting or collaboration using a communications network. Personalized data is received at a computer for a user participating in electronic group communications including group collaboration. The personalized data received at the computer includes biometric data and personality profile results. The biometric data includes biometric changes in real-time. A biometric change in the user is detected from a baseline for the user. In response to the biometric change, the biometric data is analyzed and the personality profile results to determine a suggested action regarding the user. The suggested action is communicated to the user or another participant user of the group meeting based on the analysis.

First claim

1 . A computer-implemented method for assessing a state of a participant and sharing personalized data about the participant in an electronic group meeting or collaboration using a communications network, comprising:
receiving personalized data, at a computer, for a user participating in electronic group communications, the group communications including group collaboration by a plurality of users participating in the group communications and forming a group which includes the user, the group communications include communications via a communications network by the plurality of users in the group, the personalized data received at the computer including biometric data and personality profile results, the biometric data including biometric changes in real-time; detecting a biometric change in the user from a baseline for the user; analyzing, in response to the biometric change, the biometric data and the personality profile results to determine an action regarding the user wherein the action is communicative to one or more of the plurality of users; implementing the action regarding the group communications for addressing the biometric change in the user; identifying a communication in the group collaboration previous to the biometric change wherein the biometric change is probably in response to the communication; identifying a topic or subject of the identified communication; and using the topic or the subject of the identified communication as part of the analysis to determine the action.

2 . (canceled)

3 . (canceled)

4 . The method of claim 1 , wherein the personality profile results are received at the computer from an online personality profile test or by a manual upload from a user.

5 . (canceled)

6 . The method of claim 1 , wherein the biometric data is received at the computer from one or more biometric measuring devices.

7 . The method of claim 6 , wherein the one or more biometric measuring devices include at least one IoT (Internet of Things) device.

8 . The method of claim 1 , wherein the action includes one or more communicable responses, and the communicable responses include addressing one or more of the participants.

9 . The method of claim 1 , wherein the action includes an alert and/or suggestion regarding the meeting and/or a health issue of the user, the alert and/or the suggestion being communicable to the user or another user.

10 . The method of claim 1 , wherein the action includes a suggested response for the user.

11 . The method of claim 1 , wherein the action includes a communication to one or more users of the group.

12 . The method of claim 1 , wherein the action includes a time parameter for a response for the user.

13 . The method of claim 12 , wherein the time parameter includes a time variable for communicating a message to one or more users of a group of participants.

14 . The method of claim 1 , further comprising:
identifying the biometric change for the user, as part of the analyzing of the biometric data; identifying a communication in the group collaboration previous to the biometric change which probably initiated the biometric change in the user; analyzing the personality profile of the user with respect to the biometric change; and determining the action based on the personality profile with respect to the biometric change to best respond to the identified communication.

15 . The method of claim 14 , wherein the action includes a best response to resolve a problem or move the group collaboration forward to a solution.

16 . The method of claim 1 , further comprising:
receiving data for one or more users participating in the electronic group meeting; detecting a biometric change for the one or more users, respectively, from a baseline for each of the users; analyzing, in response to the biometric change for each of the one or more users, the biometric data and personality profiles for each of the one or more users; and communicating one or more actions to one or more users of the group communications.

17 . The method of claim 1 , further comprising:
monitoring, using the computer, a plurality of users participating in the electronic group collaboration, the monitoring occurring with permission of the plurality of users, and the plurality of users using the communications network for communicating as a group.

18 . The method of claim 17 , further comprising:
detecting, from a plurality of IoT devices, for one or more of the plurality of users, respectively, a biometric change in a user from a baseline.

19 . The method of claim 18 , wherein the biometric change indicates a probability of an increased stress level of a user of the plurality of users.

20 . The method of claim 19 , further comprising:
corresponding the biometric change to a change or an initial appearance of a post or communication in the group communications.

21 . The method of claim 20 , communicating one or more user's possible stress level to the group in the group communication, based on the probability of the increased stress level of the user.

22 . The method of claim 1 , further comprising:
modifying a post or an attendee list of the group communications based on the biometric changes corresponding to the post in the group communications.

23 . The method of claim 22 , further comprising:
associating a user having the biometric change to a personality type using the personality profile for the user; and modifying the post or the attendee list based on the personality type of the user, and/or presenting a list of preferred responses, with respect to the personality type of the user, to the user or one or more of the plurality of users in the group.

24 . The method of claim 1 , further comprising:
monitoring, using the computer, biometrics of a plurality of users, respectively, the monitoring occurring with permission of the plurality of users, and the users using the communications network for communicating as a group; detecting, from a plurality of IoT devices, a biometric change in a user from a baseline, wherein the biometric change indicates a probability of an increased stress level of the user; corresponding the biometric change to an event or initial appearance of a post in the group communications; associating a user having the biometric change to a personality type using the personality profile; and modifying the post or an attendee list based on the analysis of the biometric data and the personality type for the user, and/or presenting one or more preferred responses based on the analysis to the user or to other users in the group in response to the event.

25 . The method of claim 24 , further comprising:
communicating one or more users' possible stress levels to the group in the group communication, based on the possible increased stress level of the user.

26 . The method of claim 25 , further comprising:
identifying the biometric change for the user, as part of the analyzing of the biometric data; identifying a communication in the group collaboration previous to the biometric change having a probability of initiating the biometric change for the user; analyzing the personality profile of the user with respect to the biometric change; and determining an action based on the personality profile with respect to the biometric change to best respond to the identified communication.

Assignees

• IBM

Inventors

• Bender Michael
• Kelley John F
• Dhillon Jill
• Atkin Steven Edward
• Daley Stan Kevin

Classifications

• G06Q10/10

  Office automation; Time management · CPC title

• H04L12/1827 Primary

  Network arrangements for conference optimisation or adaptation · CPC title

• H04L12/1831

  Tracking arrangements for later retrieval, e.g. recording contents, participants activities or behavior, network status · CPC title

• H04L51/52

  for supporting social networking services · CPC title

• G06V40/20

  Movements or behaviour, e.g. gesture recognition (recognition of facial expressions G06V40/16) · CPC title