METHOD FOR PERSONALIZED SOCIAL ROBOT INTERACTION

1 . A method for personalization of an interaction between a social robot and a user, comprising:

collecting, by one or more of a plurality of sensors of the social robot, a first set of sensory data from the user;

determining, based on the collected first set of sensory data, a first state of the user;

determining whether the first state of the user requires a change to a second state of the user;

performing, by the social robot, a first operational schema selected from a plurality of operational schemas based on an influence score of the first operational schema upon determination that the first state of the user requires a change to the second state of the user, wherein the influence score of the first operational schema is determined based on the likelihood of the first operational schema to cause a user to change from the first state to a second state;

collecting, by one or more of the plurality of sensors of the social robot, a second set of sensory data from the user; and

determining, based on the collected second set of sensory data, an actual state of the user.

2 . The method of claim 1 , further comprising:

updating in a memory the influence score of the first operational schema based on a response of a user to reach the second state from the first state.

3 . The method of claim 1 , wherein the influence score is further updated based on the actual state.

4 . The method of claim 1 , wherein determining whether the first state of the user requires a change to the second state of the user further comprises:

identifying at least one predetermined parameter of the first user state in the first set of sensory data; and

determining that the first state of the user requires a change to the second state of the user when a predetermined threshold is crossed.

5 . The method of claim 1 , wherein determining the actual state of the user further comprises:

comparing the collected second sensory data to a plurality of reactions of users that were previously analyzed, classified and stored in a database.

6 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process for personalization of an interaction between a social robot and a user, the process comprising:

collecting, by one or more of a plurality of sensors of the social robot, a first set of sensory data from the user;

determining, based on the collected first set of sensory data, a first state of the user;

determining whether the first state of the user requires a change to a second state of the user;

performing, by the social robot, a first operational schema selected from a plurality of operational schemas based on an influence score of the first operational schema upon determination that the first state of the user requires a change to the second state of the user, wherein the influence score of the first operational schema is determined based on the likelihood of the first operational schema to cause a user to change from the first state to a second state;

collecting, by one or more of the plurality of sensors of the social robot, a second set of sensory data from the user; and

determining, based on the collected second set of sensory data, an actual state of the user.

7 . A social robot for personalization of an interaction between the social robot and a user, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the social robot to:

collect, by one or more of a plurality of sensors of the social robot, a first set of sensory data from the user;

determine, based on the collected first set of sensory data, a first state of the user;

determine whether the first state of the user requires a change to a second state of the user;

perform, by the social robot, a first operational schema selected from a plurality of operational schemas based on an influence score of the first operational schema upon determination that the first state of the user requires a change to the second state of the user, wherein the influence score of the first operational schema is determined based on the likelihood of the first operational schema to cause a user to change from the first state to a second state;

collect, by one or more of the plurality of sensors of the social robot, a second set of sensory data from the user; and

determine, based on the collected second set of sensory data, an actual state of the user.

8 . The social robot of claim 7 , wherein the social robot if further configured to:

update in a memory the influence score of the first operational schema based on its ability to cause a user to reach the second state from the first state.

9 . The social robot of claim 7 , wherein the influence score is further updated based on the actual state.

10 . The social robot of claim 7 , wherein the social robot if further configured to:

identify at least one predetermined parameter of the first user state in the first set of sensory data; and,

determine that the first state of the user requires a change to the second state of the user when a predetermined threshold is crossed.

11 . The social robot of claim 7 , wherein the social robot if further configured to:

compare the collected second sensory data to a plurality of reactions of users that were previously analyzed, classified and stored in a database for determining the actual state of the user.