Predicting and updating availability status of a user

• US 10,178,056 B2
• Filed: 02/17/2015
• Issued: 01/08/2019
• Est. Priority Date: 02/17/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Cunico, Hernan A., Silva, Asima
• Primary Examiner(s): Springer, James E
• Application Number:
  US14/623,773
• Publication Number:
  US 20160241496A1
• Time in Patent Office: 1,421 Days
• Field of Search: 709204
• CPC Class Codes: H04L 51/043 using or handling presence information
• 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: H04W 4/12 Messaging; Mailboxes; Announcements

Abstract

Predicting and notifying availability status of a user may include determining, using a processor, an availability status of a user according to historical data for the user and automatically updating the availability status of the user using the processor.

Claims

1. A system comprising:

a processor programmed to initiate executable operations comprising;

determining a partial availability status of a user during an event according to a level of participation of the user in the event, the partial availability status indicating whether the user, at a time associated with the partial availability status, is available to interact with a different user through at least one electronic communication channel not being used for the event, determining the level of participation of the user in the event comprising determining whether electronic communications sent or received by a client device of the user during the event relates to the event by performing natural language processing and semantic analysis on the electronic communications sent or received by the client device of the user;

automatically updating an availability status of the user based on the determined partial availability status of the user;

receiving a first incoming communication through the at least one electronic communication channel not being used for the event; and

responsive to the partial availability status indicating that the user is engaged in the event but not an active participant in the event, wherein whether the user is an active participant in the event is determined by comparing the level of participation of the user in the event to a threshold, and responsive to receiving the first incoming communication through the at least one electronic communication channel not being used for the event, accepting the first incoming communication.

2. The system of claim 1, wherein the availability status of the user comprises a predicted future availability status, wherein the processor is further programmed to initiate executable operations comprising:

based on historical data for the user, estimating a time when a current availability status of the user changes to the predicted future availability status;

wherein automatically updating the availability status of the user further comprises updating the availability status to specify the predicted future availability status and the estimated time.

3. The system of claim 2, wherein the future availability status comprises the partial availability status.

4. The system of claim 1, wherein the processor is further programmed to initiate executable operations comprising:

determining the partial availability status according to whether a detected computing activity on a client device of the user during the event is related to the event.

5. The system of claim 1, wherein while the user is participating in an event, the partial availability status further is determined according to participant data for the event.

6. The system of claim 1, wherein the first incoming communication is from a second user participating in the event, wherein the processor is further programmed to initiate executable operations comprising:

receiving, from a third user not participating in the event, a second incoming communication through the at least one communication channel not being used for the event; and

responsive to receiving the second incoming communication through the at least one communication channel not being used for the event, rejecting the second communication from the third user not participating in the event, rejecting the second incoming communication comprising not delivering the communication to the user.

7. The system of claim 1, wherein the first incoming communication is an instant message.

8. A computer program product comprising a computer readable storage medium having program code stored thereon, the program code executable by a processor to perform a method comprising:

determining, using the processor, a partial availability status of a user during an event according to a level of participation of the user in the event, the partial availability status indicating whether the user, at a time associated with the partial availability status, is available to interact with a different user through at least one electronic communication channel not being used for the event, determining the level of participation of the user in the event comprising determining whether electronic communications sent or received by a client device of the user during the event relates to the event by performing natural language processing and semantic analysis on the electronic communications sent or received by the client device of the user;

automatically updating, using the processor, an availability status of the user based on the determined partial availability status of the user;

receiving a first incoming communication through the at least one electronic communication channel not being used for the event; and

responsive to the partial availability status indicating that the user is engaged in the event but not an active participant in the event, wherein whether the user is an active participant in the event is determined by comparing the level of participation of the user in the event to a threshold, and responsive to receiving the first incoming communication through the at least one electronic communication channel not being used for the event, accepting the first incoming communication.

9. The computer program product of claim 8, wherein the availability status of the user comprises a predicted future availability status, the method further comprising:

based on historical data for the user, estimating a time when a current availability status of the user changes to the predicted future availability status;

wherein automatically updating the availability status of the user further comprises updating the availability status to specify the predicted future availability status and the estimated time.

10. The computer program product of claim 9, wherein the future availability status comprises the partial availability status.

12. The computer program product of claim 8, wherein while the user is participating in an event, the partial availability status further is determined according to participant data for the event.

13. The computer program product of claim 8, wherein the first incoming communication is from a second user participating in the event, wherein the method further comprises:

receiving, from a third user not participating in the event, a second incoming communication through the at least one communication channel not being used for the event; and

responsive to receiving the second incoming communication through the at least one communication channel not being used for the event, rejecting the second communication from the third user not participating in the event, rejecting the second incoming communication comprising not delivering the communication to the user.

14. The computer program product of claim 8, wherein the first incoming communication is an instant message.

11. The computer program product of 8, wherein the method further comprises:

determining the partial availability status according to whether a detected computing activity on a client device of the user during the event is related to the event.