Determination of an online collaboration status of a user based upon biometric and user activity data

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 processsor to determine a collaboration status of a user, the method comprising:

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

obtaining current collaboration activity data representative of social collaboration activity including workload of the user;

determining a level of stress of the user based on the obtained current health data and the current collaboration activity data;

obtaining one or more of historical health data and historical collaboration activity data of the user, and detecting one or more patterns of collaboration status of the user based on the one or more of historical health data and historical collaboration activity data;

refining the detected one or more patterns of collaboration status based on the one or more of historical health data and historical collaboration activity data, according to the current health data and current collaboration data; and

determining the collaboration status indicating availability of the user based on the determined level of stress from the current health data and collaboration activity data, the one or more patterns of collaboration status of the user, and the refined one or more patterns of collaborative status.

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 the 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 the 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 the 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 the 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 the 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 collaboration status of the user.

12. The method of claim 11 , further comprising:

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

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