Claims:WE CLAIM:
1. A method for unbiased execution of tasks using neural response analysis of users, the method comprising:
providing, by a neural response analysis system (101), one or more predefined neural stimulus, to a plurality of users (103), wherein the one or more predefined neural stimulus are associated with a task to be assigned and resolved by the plurality of users (103);
receiving, by the neural response analysis system (101), one or more neural responses from the plurality of users (103) in view of the one or more predefined neural stimulus, wherein neural dust sensors placed on each of the plurality of users (103) detect the one or more neural responses;
correlating, by the neural response analysis system (101), the one or more neural responses of the plurality of users (103) with corresponding data associated with each of the plurality of users (103) stored in a stimulus response mapping database (105) to create a logical matrix (205) indicative of one or more solution parameters for resolving the task; and
creating, by the neural response analysis system (101), a solution model (207) to resolve the task based on the logical matrix (205), wherein the solution model (207) eliminates biases and preferences of the plurality of users (103) determined based on the correlation.

2. The method as claimed in claim 1, wherein the one or more predefined neural stimulus comprises audio-visual stimulus presented in form of situations, visual puzzles, mathematical problems and raw data.

3. The method as claimed in claim 1, wherein the one or more solution parameters comprises approach to the task, options considered, personal biases, cognitive style, and sensitivity to the predefined neural stimulus.

4. The method as claimed in claim 1, wherein the correlating comprises performing psychometric analysis and personal trait mapping of the plurality of users (103) based on social media behavior of the plurality of users (103).

5. The method as claimed in claim 1, wherein creating the solution model (207) comprises eliminating one or more neural responses associated with the one or more predefined neural stimulus, that are mapped to bias and preference information associated with the plurality of users (103).

6. The method as claimed in claim 1, further comprising subjecting, each of the plurality of users (103) to a plurality of neural stimulus during a training phase to identify biases and preferences of each of the plurality of users (103), and wherein biases and preferences information is stored in the stimulus response mapping database (105).

7. The method as claimed in claim 1 further comprising classifying user profiles in the stimulus response mapping database (105) based on patterns of behavior of each of the plurality of users (103).

8. The method as claimed in claim 1, wherein the biases of the plurality of users (103) are an outlook of the plurality of users (103) towards a situation with partial perspective leading to inaccurate judgement.

9. The method as claimed in claim 1 further comprising generating one or more instruction for unbiased execution of tasks based on the solution model (207).

10. The method as claimed in claim 1, wherein the one or more predefined neural stimulus to be displayed are selected based on a training phase, and wherein the displayed one or more predefined neural stimulus does not invoke bias of user in the one or more neural responses.

11. A neural response analysis system (101) for unbiased execution of tasks using neural response analysis of users, comprising:
a processor (113); and
a memory (111) communicatively coupled to the processor (113), wherein the memory (111) stores processor instructions, which, on execution, causes the processor (113) to:
provide one or more predefined neural stimulus, to a plurality of users (103), wherein the one or more predefined neural stimulus is associated with a task to be assigned and resolved by the plurality of users (103);
receive one or more neural responses from the plurality of users (103) in view of the one or more predefined neural stimulus, wherein neural dust sensors placed on each of the plurality of users (103) detect the one or more neural responses;
correlate the one or more neural responses of the plurality of users (103) with corresponding data associated with each of the plurality of users (103) stored in a stimulus response mapping database (105) to create a logical matrix (205) indicative of one or more solution parameters for resolving the task; and
create a solution model to resolve the task based on the logical matrix (205), wherein the solution model (207) eliminates biases and preferences of the plurality of users (103) determined based on the correlation.

12. The neural response analysis system (101) as claimed in claim 11, wherein the one or more predefined neural stimulus comprises audio-visual stimulus presented in form of situations, visual puzzles, mathematical problems and raw data.

13. The neural response analysis system (101) as claimed in claim 11, wherein the one or more solution parameters comprises approach to the task, options considered, personal biases, cognitive style, and sensitivity to the predefined neural stimulus.

14. The neural response analysis system (101) as claimed in claim 11, wherein the correlating comprises performing psychometric analysis and personal trait mapping of the plurality of users (103) based on social media behavior of the plurality of users (103).

15. The neural response analysis system (101) as claimed in claim 11, wherein creating the solution model (207) comprises eliminating one or more neural responses associated with the one or more predefined neural stimulus, that are mapped to bias and preference information associated with the plurality of users (103).

16. The neural response analysis system (101) as claimed in claim 11, wherein the processor (113) subjects each of the plurality of users (103) to a plurality of neural stimulus during a training phase to identify biases and preferences of each of the plurality of users (103), and wherein biases and preferences information is stored in the stimulus response mapping database (105).

17. The neural response analysis system (101) as claimed in claim 11, wherein the processor (113) classifies user profiles in the stimulus response mapping database (105) based on patterns of behavior of each of the plurality of users (103).

18. The neural response analysis system (101) as claimed in claim 11, wherein the biases of the plurality of users (103) are an outlook of the plurality of users (103) towards a situation with partial perspective leading to inaccurate judgement.

19. The neural response analysis system (101) as claimed in claim 11, wherein the processor (113) generates one or more instruction for unbiased execution of tasks based on the solution model (207).

20. The neural response analysis system (101) as claimed in claim 11, wherein the one or more predefined neural stimulus to be displayed are selected based on a training phase, and wherein the displayed one or more predefined neural stimulus does not invoke bias of user in the one or more neural responses.

Dated this 12th day of July, 2017

R Ramya Rao
Of K&S Partners
Agent for the Applicant
, Description:TECHNICAL FIELD
The present subject matter is related in general to the field of neural response analysis, more particularly, but not exclusively to a method and system for unbiased execution of tasks using neural response analysis of users.