CUSTOMIZING A POLICY OF AN INPUT/OUTPUT DEVICE IN RESPONSE TO USER CONSTRAINTS
A method and system for generating a modified input/output (I/O) device policy in response to constraints of a user are provided. The method includes determining at least one constraint of a user using the I/O device policy in response to a request to perform a plan defined in the policy, wherein the at least one constraint is determined based on a first dataset collected from different electronic sources connected to the I/O device; generating a first plan customizing the policy based on the at least one determined constraint, wherein the first plan demonstrates a high acceptance score, wherein the acceptance score defines a probability that the user accepts and fulfills the first plan; and executing the first plan defined in the customized policy, wherein executing the first plan further includes causing the I/O device to activate an action that complies with the at least one determined constraint.
1 . A method for generating a modified input/output (I/O) device policy in response to constraints of a user, comprising:
determining at least one constraint of a user using the I/O device policy in response to a request to perform a plan defined in the policy, wherein the at least one constraint is determined based on a first dataset collected from different electronic sources connected to the I/O device;
generating a first plan customizing the policy based on the at least one determined constraint, wherein the first plan demonstrates a high acceptance score, wherein the acceptance score defines a probability that the user accepts and fulfills the first plan; and
executing the first plan defined in the customized policy, wherein executing the first plan further includes causing the I/O device to activate an action that complies with the at least one determined constraint.
2 . The method of claim 1 , further comprising:
monitoring a feedback of a user to the executed first plan;
generating a second plan further customizing the policy when the user rejects the first plan; and
executing the second plan.
3 . The method of claim 2 , wherein generating the second plan further comprises:
collecting a second dataset from a plurality or resources; and
analyzing the second dataset to determine an alternative plan to the first plan having a high acceptance score.
4 . The method of claim 3 , wherein collecting the first dataset and the second dataset further comprising:
collecting, using a plurality of sensors connected to the I/O device, at least real-time data on the user and an environment in a predetermined proximity to the user.
5 . The method of claim 4 , wherein the first dataset and the second dataset includes historical data and routine information related to activities of the user.
6 . The method of claim 1 , wherein generating the first plan customizing the policy further comprising:
generating the first plan based on at least one goal defined for the user.
7 . The method of claim 6 , further comprising:
analyzing the first dataset to generate at least a plurality of plans that comply with the at least one constraint and the at least goal;
computing for each of the plurality of plans the probability of acceptance of the respective plan by the user; and
selecting the plan with the highest probability, wherein the highest probability of the plan is the high acceptance score.
8 . The method of claim 7 , wherein the analysis of the first dataset and the computation of the probabilities of acceptance is performed using a machine learning model.
9 . The method of claim 1 , wherein execution of any of the first plan and the second plan further comprising:
performing at least an action defined in the respective plan by a digital assistant included in the I/O device.
10 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:
determining at least one constraint of a user using the I/O device policy in response to a request to perform a plan defined in the policy, wherein the at least one constraint is determined based on a first dataset collected from different electronic sources connected to the I/O device;
generating a first plan customizing the policy based on the at least one determined constraint, wherein the first plan demonstrates a high acceptance score, wherein the acceptance score defines a probability that the user accepts and fulfills the first plan; and
executing the first plan defined in the customized policy, wherein executing the first plan further includes causing the I/O device to activate an action that complies with the at least one determined constraint.
11 . A system for generating a modified input/output (I/O) device policy in response to constraints of a user, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
determine at least one constraint of a user using the I/O device policy in response to a request to perform a plan defined in the policy, wherein the at least one constraint is determined based on a first dataset collected from different electronic sources connected to the I/O device;
generate a first plan customizing the policy based on the at least one determined constraint, wherein the first plan demonstrates a high acceptance score, wherein the acceptance score defines a probability that the user accepts and fulfills the first plan; and
execute the first plan defined in the customized policy, wherein executing the first plan further includes causing the I/O device to activate an action that complies with the at least one determined constraint.
12 . The system of claim 11 , wherein the system is further configured to:
monitor a feedback of a user to the executed first plan;
generate a second plan further customizing the policy when the user rejects the first plan; and
execute the second plan.
13 . The system of claim 12 , wherein the system is further configured to:
collect a second dataset from a plurality or resources; and
analyze the second dataset to determine an alternative plan to the first plan having a high acceptance score.
14 . The system of claim 13 , wherein the system is further configured to:
collect, using a plurality of sensors connected to the I/O device, at least real-time data on the user and an environment in a predetermined proximity to the user.
15 . The system of claim 14 , wherein the first dataset and the second dataset include historical data and routine information related to activities of the user.
16 . The system of claim 13 , wherein the system is further configured to:
generate the first plan based on at least one goal defined for the user.
17 . The system of claim 16 , wherein the system is further configured to:
analyze the first dataset to generate at least a plurality of plans that comply with the at least one constraint and the at least goal;
compute for each of the plurality of plans the probability of acceptance of the respective plan by the user; and
select the plan with the highest probability, wherein the highest probability of the plan is the high acceptance score.
18 . The system of claim 17 , wherein the analysis of the first dataset and the computation of the probabilities of acceptance is performed using a machine learning model.
19 . The system of claim 13 , wherein the system is further configured to:
perform at least an action defined in the respective plan by a digital assistant included in the I/O device.