System and method for organic cognitive response (OCR) feedback for adaptive work instructions

1. A method comprising:

obtaining multiple inputs associated with a worker in a manufacturing environment;

performing a fuzzy logic process on the multiple inputs to generate multiple outputs, the multiple outputs associated with performance by the worker of a task in the manufacturing environment, wherein a specified output of the multiple outputs generated by the fuzzy logic process comprises (i) a first default setting indicating a detail level of instruction information for performing the task and (ii) a second default setting indicating a position of a user control of a user interface, wherein performing the fuzzy logic process comprises implementing a Mamdani fuzzy inference system on the multiple inputs to generate the first default setting and the second default setting; and

providing instructions to an electronic device to display the specified output while the worker performs the task in the manufacturing environment, the specified output also comprising the instruction information for performing the task, the instruction information initially presented according to the first default setting, the specified output further comprising the user control, the user control configured to adjustably control the detail level of the instruction information based on the position of the user control selected by the worker, wherein an initial setting of the user control is set according to the second default setting.

2. The method of claim 1 , wherein the multiple inputs comprise at least one of:

first sensor information generated by a first sensor worn by the worker while the worker performs the task; and

second sensor information generated by a second sensor located in a vicinity of the worker while the worker performs the task.

3. The method of claim 1 , wherein the multiple inputs comprise cognitive assessment information associated with a cognitive assessment of the worker.

4. The method of claim 1 , wherein the instruction information for performing the task is optimized for the worker using the fuzzy logic process.

5. The method of claim 1 , wherein the multiple outputs further comprise at least one of job load balancing information and job fitment information.

6. The method of claim 1 , wherein:

the worker is one of multiple workers in the manufacturing environment; and

at least one of the multiple inputs or the multiple outputs is associated with training of the multiple workers.

7. The method of claim 1 , wherein the multiple inputs comprise demographic data of the worker.

8. A system comprising:

at least one memory configured to store instructions; and

at least one processor coupled to the at least one memory and configured when executing the instructions to:

obtain multiple inputs associated with a worker in a manufacturing environment;

perform a fuzzy logic process on the multiple inputs to generate multiple outputs, the multiple outputs associated with performance by the worker of a task in the manufacturing environment, wherein a specified output of the multiple outputs generated by the fuzzy logic process comprises (i) a first default setting indicating a detail level of instruction information for performing the task and (ii) a second default setting indicating a position of a user control of a user interface, wherein, to perform the fuzzy logic process, the at least one processor is configured to implement a Mamdani fuzzy inference system on the multiple inputs to generate the first default setting and the second default setting; and

provide instructions to an electronic device to display the specified output while the worker performs the task in the manufacturing environment, the specified output also comprising the instruction information for performing the task, the instruction information initially presented according to the first default setting, the specified output further comprising the user control, the user control configured to adjustably control the detail level of the instruction information based on the position of the user control selected by the worker, wherein an initial setting of the user control is set according to the second default setting.

9. The system of claim 8 , wherein the multiple inputs comprise at least one of:

first sensor information generated by a first sensor worn by the worker while the worker performs the task; and

second sensor information generated by a second sensor located in a vicinity of the worker while the worker performs the task.

10. The system of claim 8 , wherein the multiple inputs comprise cognitive assessment information associated with a cognitive assessment of the worker.

11. The system of claim 8 , wherein the at least one processor is configured to use the fuzzy logic process to optimize the instruction information for performing the task for the worker.

12. The system of claim 8 , wherein the multiple outputs further comprise at least one of job load balancing information and job fitment information.

13. The system of claim 8 , wherein the worker is one of multiple workers in the manufacturing environment and at least one of the multiple inputs or the multiple outputs is associated with training of the multiple workers.

14. The system of claim 8 , wherein the multiple inputs comprise demographic data of the worker.

15. A non-transitory computer readable medium containing instructions that when executed cause at least one processor to:

obtain multiple inputs associated with a worker in a manufacturing environment;

perform a fuzzy logic process on the multiple inputs to generate multiple outputs, the multiple outputs associated with performance by the worker of a task in the manufacturing environment, wherein a specified output of the multiple outputs generated by the fuzzy logic process comprises (i) a first default setting indicating a detail level of instruction information for performing the task and (ii) a second default setting indicating a position of a user control of a user interface, wherein, to perform the fuzzy logic process, the at least one processor is configured to implement a Mamdani fuzzy inference system on the multiple inputs to generate the first default setting and the second default setting; and

provide instructions to an electronic device to display the specified output while the worker performs the task in the manufacturing environment, the specified output also comprising the instruction information for performing the task, the instruction information initially presented according to the first default setting, the specified output further comprising the user control, the user control configured to adjustably control the detail level of the instruction information based on the position of the user control selected by the worker, wherein an initial setting of the user control is set according to the second default setting.

16. The non-transitory computer readable medium of claim 15 , wherein the multiple inputs comprise at least one of:

first sensor information generated by a first sensor worn by the worker while the worker performs the task; and

second sensor information generated by a second sensor located in a vicinity of the worker while the worker performs the task.

17. The non-transitory computer readable medium of claim 15 , wherein the multiple inputs comprise cognitive assessment information associated with a cognitive assessment of the worker.

18. The non-transitory computer readable medium of claim 15 , wherein the instructions when executed cause the at least one processor to use the fuzzy logic process to optimize the instruction information for performing the task for the worker.

19. The non-transitory computer readable medium of claim 15 , wherein the multiple outputs further comprise at least one of job load balancing information and job fitment information.

20. The non-transitory computer readable medium of claim 15 , wherein the multiple inputs comprise demographic data of the worker.