MANAGING A SET OF SHARED TASKS USING BIOMETRIC DATA

• US 20170200112A1
• Filed: 01/13/2016
• Published: 07/13/2017
• Est. Priority Date: 01/13/2016
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Sze, Chin Ngai, Rozner, Eric J., Liu, Su, Wei, Yaoguang
• Application Number:
  US14/995,170
• Publication Number:
  US 20170200112A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function

Abstract

Disclosed aspects manage a set of shared tasks. A first set of biometric data which indicates a performance factor for a first user and a second set of biometric data which indicates the performance factor for a second user are detected. Using the first and second sets of biometric data, a set of temporal periods for the first and second users to carry-out the set of shared tasks is determined. The set of temporal periods is selected with respect to carrying-out the set of shared tasks by the first and second users.

Claims

1. A computer-implemented method for managing a set of shared tasks, the method comprising:

detecting a first set of biometric data which indicates a performance factor for a first user;

detecting a second set of biometric data which indicates the performance factor for a second user;

determining, using the first and second sets of biometric data which indicate the performance factor for the first and second users, a set of temporal periods for the first and second users to carry-out the set of shared tasks; and

selecting, with respect to carrying-out the set of shared tasks by the first and second users, the set of temporal periods.

2. The method of claim 1, wherein the first user has a first performance factor value for the performance factor and the second user has a second performance factor value for the performance factor, further comprising:

analyzing the set of shared tasks to identify a set of criteria which favors productivity for the first and second performance factor values; and

ascertaining, in response to analyzing the set of shared tasks, the performance factor based on the set of criteria.

3. The method of claim 2, further comprising:

weighting, based on an attribute value of the first user exceeding the attribute value of the second user, the first and second performance factor values, wherein a first difference between a weighted first performance factor value and the first performance factor value exceeds a second difference between a weighted second performance factor value and the second performance factor value.

4. The method of claim 1, wherein the performance factor is selected from a group consisting of at least one of:

a productivity factor, a stress factor, a dietary factor, a sleep factor, a shift factor, an alertness factor, a focus factor, a lactate factor, or a team goal factor.

5. The method of claim 1, further comprising:

receiving, in response to determining the set of temporal periods, a dynamic update; and

changing, based on the dynamic update, the set of temporal periods.

6. The method of claim 5, wherein the dynamic update includes a selection from a group consisting of at least one of:

a biometric data update to at least one of the first set of biometric data or the second set of biometric data,

a user update which adds a new user or removes an existing user, or

a candidate temporal period update which adds or removes a candidate temporal period from which to select the set of temporal periods.

7. The method of claim 1, further comprising:

providing a user interface to allow an interface user to supply information including biometric data, suggested meeting times, and prediction rules; and

determining, in response to the interface user utilizing the user interface, the set of temporal periods using the supplied information.

8. The method of claim 1, further comprising:

collecting, using a first electronic wearable device, the first set of biometric data for the first user;

collecting, using a second electronic wearable device, the second set of biometric data for the second user; and

storing, in a shared pool of configurable computing resources having both a first physical compute node and a second physical compute node, the second set of biometric data on the second physical compute node which is physically separate from the first set of biometric data on the first physical compute node.

9. The method of claim 1, further comprising:

calculating, based on a first user profile data and the set of shared tasks, a weighted first user value for carrying-out the set of shared tasks;

calculating, based on a second user profile data and the set of shared tasks, a weighted second user value for carrying-out the set of shared tasks; and

determining, in response to calculating the weighted first and second user values, the set of temporal periods using both the weighted first user value with respect to the first set of biometric data and the weighted second user value with respect to the second set of biometric data.

10. The method of claim 1, further comprising:

monitoring, in response to determining the set of temporal periods, the first user to collect a first dynamic update to the first set of biometric data;

monitoring, in response to determining the set of temporal periods, the second user to collect a second dynamic update to the second set of biometric data;

evaluating, using on the first and second dynamic updates, the set of temporal periods with respect to a candidate temporal period which is indicated by at least one of the first dynamic update or the second dynamic update; and

selecting, with respect to carrying-out the set of shared tasks by the first and second users, the candidate temporal period.

11. The method of claim 1, further comprising:

computing, using the first and second sets of biometric data which indicate the performance factor for the first and second users, a set of candidate temporal periods; and

providing, for selection by an interface user, the set of candidate temporal periods.

12. The method of claim 1, further comprising:

monitoring, in response to determining the set of temporal periods, a group of users which includes the first and second users to identify a user update to the group of users, wherein the user update includes at least one of adding a new user or removing an existing user;

evaluating, based on the user update, the set of temporal periods with respect to a candidate temporal period which is indicated by the user update; and

selecting, with respect to carrying-out the set of shared tasks, the candidate temporal period.

13. The method of claim 1, further comprising:

providing, for selection by an interface user in response to determining the set of temporal periods, the set of temporal periods which is arranged based on an expected productivity score that relates to both the first and second sets of biometric data and the first and second users.

14. The method of claim 1, wherein detecting the first set of biometric data which indicates the performance factor for the first user includes:

sensing a disconnection with respect to a dynamic connection related to a first set of dynamic biometric data for the first user; and

receiving, from a shared pool of configurable computing resources in response to sensing the disconnection, at least one of;

a first set of historical biometric data for the first user, or a first set of predicted biometric data for the first user.

15. The method of claim 1, further comprising:

receiving, from an interface user via a user interface, a set of user data which includes at least one of;

a set of preferred temporal periods, or a set of user biometric data.

16. The method of claim 1, wherein the set of shared tasks includes a selection from a group consisting of at least one of:

a meeting in a corporate environment,

a standardized test in an educational environment,

an appointment in a healthcare environment,

an event in an athletics environment,

an operator in a travel environment, or

a mission in a non-civilian environment.

17. The method of claim 1, further comprising:

computing, using a first current schedule of the first user and a second current schedule of the second user, a set of candidate temporal periods which have both the first and second users unscheduled according to the first and second current schedules; and

selecting, in response to computing the set of candidate temporal periods, the set of temporal periods from the set of candidate temporal periods.

18. A system for managing a set of shared tasks, the system comprising:

a memory having a set of computer readable computer instructions, and

a processor for executing the set of computer readable instructions, the set of computer readable instructions including;

detecting a first set of biometric data which indicates a performance factor for a first user;

detecting a second set of biometric data which indicates the performance factor for a second user;

determining, using the first and second sets of biometric data which indicate the performance factor for the first and second users, a set of temporal periods for the first and second users to carry-out the set of shared tasks; and

selecting, with respect to carrying-out the set of shared tasks by the first and second users, the set of temporal periods.

19. A computer program product for managing a set of shared tasks, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:

detecting a first set of biometric data which indicates a performance factor for a first user;

detecting a second set of biometric data which indicates the performance factor for a second user;

determining, using the first and second sets of biometric data which indicate the performance factor for the first and second users, a set of temporal periods for the first and second users to carry-out the set of shared tasks; and

selecting, with respect to carrying-out the set of shared tasks by the first and second users, the set of temporal periods.

20. The computer program product of claim 19, wherein at least one of:

the program instructions are stored in a computer readable storage medium in a data processing system, and wherein the program instructions were downloaded over a network from a remote data processing system;

or

the program instructions are stored in a computer readable storage medium in a server data processing system, and wherein the program instructions are downloaded over a network to a remote data processing system for use in a computer readable storage medium with the remote data processing system.