SYSTEM AND METHOD FOR OPERATING A DIGITAL ASSISTANT BASED ON DEVIATION FROM ROUTINE BEHAVIOR OF A USER USING THE DIGITAL ASSISTANT
A system and method for operating a digital assistant based on deviation from routine behavior of a user using the digital assistant are provided. The method includes analyzing a first collected dataset to determine at least routine information regarding the user; analyzing a second dataset and the determined routine information regarding the user to determine a deviation level value, the deviation level value describing the deviation of a current behavior from routine behavior of the user, and wherein the second dataset includes real-time data regarding the user; determining a plan for the digital assistant, wherein the plan includes at least one action to be performed by the digital assistant; and operating the digital assistant based on the determined plan, thereby causing the digital assistant to adjust the behavior of the user.
1 . A method for operating a digital assistant based on deviation from routine behavior of a user using the digital assistant, comprising:
analyzing a first collected dataset to determine at least routine information regarding the user;
analyzing a second dataset and the determined routine information regarding the user to determine a deviation level value, the deviation level value describing the deviation of a current behavior from routine behavior of the user, and wherein the second dataset includes real-time data regarding the user;
determining a plan for the digital assistant, wherein the plan includes at least one action to be performed by the digital assistant; and
operating the digital assistant based on the determined plan, thereby causing the digital assistant to adjust the behavior of the user.
2 . The method of claim 1 , wherein the first dataset includes at least one of: user data, historical data, environmental data, and sensor data.
3 . The method of claim 2 , wherein the first dataset is collected via at least one of:
a sensor, and a resource external to the digital assistant.
4 . The method of claim 1 , wherein determining the deviation level value further comprises:
comparing at least one parameter of the second dataset with at least one baseline parameter.
5 . The method of claim 1 , wherein determining the deviation level value further comprises:
determining at least one user state parameter; and
comparing the at least one user state parameter with at least one routine information parameter.
6 . The method of claim 1 , wherein determining the plan for the digital assistant further comprises:
feeding the determined deviation level value into a decision-making model (DMM) of the digital assistant; and
identifying an optimal plan from at least one plan provided by the DMM.
7 . The method of claim 1 , wherein the optimal plan is the plan having the highest likelihood, of all possible plans, to immediately cause adjustment of a user's current behavior to the user's routine behavior.
8 . The method of claim 1 , wherein the digital assistant is a social robot configured to interact with the user.
9 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:
analyzing a first collected dataset to determine at least routine information regarding the user;
analyzing a second dataset and the determined routine information regarding the user to determine a deviation level value, the deviation level value describing the deviation of a current behavior from routine behavior of the user, and wherein the second dataset includes real-time data regarding the user;
determining a plan for the digital assistant, wherein the plan includes at least one action to be performed by the digital assistant; and
operating the digital assistant based on the determined plan, thereby causing the digital assistant to adjust the behavior of the user.
10 . A system for operating a digital assistant based on deviation from routine behavior of a user using the digital assistant, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
analyze a first collected dataset to determine at least routine information regarding the user;
analyze a second dataset and the determined routine information regarding the user to determine a deviation level value, the deviation level value describing the deviation of a current behavior from routine behavior of the user, and wherein the second dataset includes real-time data regarding the user;
determine a plan for the digital assistant, wherein the plan includes at least one action to be performed by the digital assistant; and
operate the digital assistant based on the determined plan, thereby causing the digital assistant to adjust the behavior of the user.
11 . The system of claim 10 , wherein the first dataset includes at least one of: user data, historical data, environmental data, and sensor data.
12 . The system of claim 11 , wherein the first dataset is collected via at least one of:
a sensor, and a resource external to the digital assistant.
13 . The system of claim 10 , wherein the system is further configured to:
compare at least one parameter of the second dataset with at least one baseline parameter.
14 . The system of claim 10 , wherein the system is further configured to:
determine at least one user state parameter; and
compare the at least one user state parameter with at least one routine information parameter.
15 . The system of claim 10 , wherein the system is further configured to:
feed the determined deviation level value into a decision-making model (DMM) of the digital assistant; and
identify an optimal plan from at least one plan provided by the DMM.
16 . The system of claim 10 , wherein the optimal plan is the plan having the highest likelihood, of all possible plans, to immediately cause adjustment of a user's current behavior to the user's routine behavior.
17 . The system of claim 10 , wherein the digital assistant is a social robot configured to interact with the user.