DETERMINATION OF AN ONLINE COLLABORATION STATUS OF A USER BASED UPON BIOMETRIC AND USER ACTIVITY DATA

• US 20190312829A1
• Filed: 06/20/2019
• Published: 10/10/2019
• Est. Priority Date: 03/09/2018
• Status: Active Grant

• Current Assignee: Merative US LP
• Original Assignee: International Business Machines Corporation
• Inventors: Queva, Stephane, Bhagat, Gaurav, Murphy, Damien, Connolly, Fergal
• Granted Patent: US 10,834,032 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]
• CPC Class Codes: H04L 51/043 using or handling presence information
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 51/224 providing notification on incoming messages, e.g. pushed notifications of received messages
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/54 Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
• CPC Class Codes: H04L 67/55 Push-based network services
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Methods, systems, and computer readable media are provided for determining a collaboration status of a user of an electronic messaging system based on user data, including: (i) health data representative of a physiological parameter or mental engagement of the user and (ii) collaboration activity data representative of social collaboration activity of the user, to determine the collaboration status. Historical health data and collaboration activity data may be included in the determination of the collaboration status. In some aspects, the collaboration status may reflect a real-time collaboration status of the user.

Claims

1. A method, in an electronic messaging system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to determine a collaboration status of a user, the method comprising:

obtaining health data representative of a physiological parameter or physical activity of the user;

obtaining collaboration activity data representative of social collaboration activity of the user; and

determining a collaboration status of the user based on the obtained health data and the obtained social collaboration activity data.

2. The method of claim 1, further comprising:

obtaining historical health data relating to a pattern or trend of previously obtained measurements of a physiological parameter or physical activity of the user,

and wherein determining a collaboration status of the user is further based on the obtained historical health data.

3. The method of claim 2, further comprising:

associating the collaboration status with a future time or date based on the obtained historical health data in order to predict the collaboration status of the user for the future time or date.

4. The method of claim 1, wherein the physiological parameter or physical activity of the user comprises at least one of:

heart rate;

blood pressure;

body temperature;

pulse-oximetry;

hormone level;

mood;

steps taken; and

distance walked.

5. The method of claim 1, wherein the social collaboration activity of the user comprises at least one of:

number of meetings attended during a predetermined time period;

time spent in meetings during a predetermined time period;

distance traveled during a predetermined time period;

number of messages sent using the electronic messaging system during a predetermined time period;

number of words typed in messages sent using the electronic messaging system during a predetermined time period;

number of active parallel discussions using the electronic messaging system;

number of open draft messages or emails;

number of comments or articles submitted to an online community during a predetermined time period; and

number of unread electronic messages or emails.

6. The method of claim 1, further comprising:

obtaining historical collaboration activity data relating to a pattern or trend of previously obtained measurements of social collaboration activity of the user,

and wherein determining a collaboration status of the user is further based on the obtained historical collaboration activity data.

7. The method of claim 6, further comprising:

associating the collaboration status with a future time or date based on the obtained historical collaboration activity data in order to predict the collaboration status of the user for the future time or date.

8. The method of claim 1, further comprising:

obtaining a user input representative of a current or future collaboration status of the user,

and wherein determining a collaboration status of the user is further based on the obtained user input.

9. The method of claim 1, further comprising:

obtaining a message of the user communicated by the electronic messaging system; and

analyzing the message to identify an indicator of status of the user,

and wherein determining a collaboration status of the user is further based on the identified indicator of status of the user.

10. The method of claim 9, further comprising;

determining a time or date associated with the identified indicator of status of the user,

and wherein determining a collaboration status of the user is further based on the determining a time or date associated with the identified indicator of status of the user.

11. The method of claim 1, further comprising:

controlling communication of a notification associated with the user based on the determined collaboration status of the user.

12. The method of claim 11, further comprising:

obtaining historical information relating to a previously determined collaboration status of the user,

and wherein controlling communication of the notification associated with the user is further based on the obtained historical information.