Abstract: A system and method for generating a modified input/output (I/O) device policy for multiple users. A method includes generating a modified policy based on a first policy and a second policy, wherein the modified policy is generated when a first user and a second user are located within a predetermined distance of each other, wherein the first policy is generated for the first user based on a first dataset including data related to the first user with respect to at least one I/O device, wherein the second policy is generated for the second user based on data related to the at least one I/O device; and executing at least one plan based on the modified policy, wherein executing the at least one plan further comprises causing the at least one I/O device to output a signal for causing at least one action by an external system.

Abstract: A system and method for automatically and objectively identifying intense responses and updating decisions related to input/output devices. A method includes applying a machine learning model to an input dataset including data from sensors related to actions performed by a user in response to outputs caused via at least one input/output (I/O) device; identifying, based on output of the machine learning model, an intense response of the user; updating a decision-making model with respect to controlling the at least one I/O device based on the identified intense response; and executing at least one plan based on the updated decision-making model, wherein executing the at least one plan further comprises causing at least one output via the at least one I/O device.

Abstract: A system and method for updating an input/output device decision-making model of a digital assistant based on routine information of a user are provided. The method includes analyzing at least a first collected dataset to identify a routine information data feature and a confidence level associated with the routine information data feature, wherein the first collected dataset is a dataset associated with a user; updating the input/output (I/O) device decision-making model of the digital assistant to include the identified routine information data feature; and executing at least one plan via the updated digital assistant by causing the I/O device to output a signal for causing at least one action by an external system with respect to the outside world.

Abstract: A method and system for customizing setup of features of an electronic device. The method includes collecting user data related to a user using the electronic device, wherein the user data is collected, in part, using at least one sensor connected to the electronic device; analyzing the collected user data to determine for each user action of a plurality of user actions a corresponding probability score, wherein a probability score is a probability that the user chooses to perform a particular subsequent user action from the plurality of user actions, wherein a user action of the plurality of user actions is enabled by a setup plan; selecting based on the probability scores at least one setup plan corresponding to an action having the highest probability score; and configuring a feature of the electronic device based on the selected setup plan.

Abstract: According to some disclosed embodiments an action is performed by an electronic social agent. The electronic social agent collects a first dataset indicating the user's state, the user's environment state, and a first user response to the performed action. Then, it is determined whether it is desirable to collect a second response from the user and, if so, it is further determined whether to generate a question to be presented to the user based on an analysis of a first dataset and the first user response. Then, an optimal time for presenting the question to the user is determined. A question that is based on the collected data and the first user response is generated by the electronic social agent for actively collecting an additional user response. Then, based on the collected additional user response, the decision-making model of the electronic social agent is updated and improved.

Abstract: A system and method for personalization of an interaction between a social robot and a user.

Abstract: A method for adaptively adjusting a user experience interacting with an electronic device. A method includes: collecting, using at least one sensor, data related to an interaction of a user with a feature of an electronic device; activating of a timer to measure a response time of a user to the feature; analyzing the collected data to determine responsiveness of the user to the feature; and adjusting a user experience parameter of the electronic device based on the determined responsiveness.

Abstract: A controller and method for real-time customization of presentation features of a vehicle. A method includes collecting a first dataset about a knowledge level of an operator of the vehicle, wherein the first dataset is collected with respect to a feature of the vehicle; collecting, using at least one sensor, a second dataset regarding an external environment of the vehicle and a cabin of the vehicle; determining, based on the first dataset and the second dataset, a presentation feature from a plurality of presentation features associated with the feature of the vehicle; customizing the presentation feature based on at least the first dataset, wherein the customization is performed in real-time when the operator operates the vehicle; and presenting the presentation feature to the operator of the vehicle.

Abstract: A system and method for real-time customization of presentation features of a social robot. A method includes collecting a first dataset regarding a knowledge level of a user of the social robot with respect to at least one feature of the social robot; collecting a second dataset, wherein the second dataset data is collected from at least an environment of the social robot; determining, based on the first dataset and the second dataset, at least one presentation feature from a plurality of presentation features; selecting a first presentation feature of the at least one presentation feature; customizing the selected first presentation feature based on at least the first dataset; and presenting in real-time the customized presentation feature, wherein the presentation is performed using at least one electronic component of the social robot.

Abstract: A system and method for determining a responsive action based on sensor fusion, including: performing a sensor fusion on data received from a plurality of sensors to produce output fusion data; analyzing the output fusion data to determine one or more potential actionable scenarios to be selected; determining if the one or more potential actionable scenarios are to be executed; and sending commands to one or more resources to perform the one or more potential actionable scenarios.

Abstract: A system and method for monitoring and managing a cognitive load of a person, including: determining, based on an analysis of at least one input data associated with a person, a current cognitive load score of the person; determining, based on the analysis of the at least one input data and the determined current cognitive load score, whether a reduction of the current cognitive load score of the person is desirable; and selecting at least one predetermined plan for execution based on when a reduction of the current cognitive load score of the person is desirable.

Abstract: A system and method for monitoring and managing a cognitive load of an occupant of a vehicle, including: determining, based on analysis of a first set of sensory inputs received from a first set of sensors from a cabin of the vehicle, a current cognitive load score of an occupant of the vehicle; determining, based on an analysis of a second set of sensory inputs, a current state of the vehicle; analyzing the current cognitive load score of the occupant with respect to the current state of the vehicle; and, selecting at least one predetermined plan for execution based on a determination that a reduction of the current cognitive load score of the occupant is desirable, wherein the determination is based on a result of the analysis of the current cognitive load score of the occupant and the current state of the vehicle.

Abstract: A system and method for explaining actions of a vehicle, including: receiving an indication associated with at least one action of the vehicle; receiving a data input from the vehicle, wherein the data input is associated with at least one of: an external environment of the vehicle and an internal environment of the vehicle; analyzing the indication with respect to the data input to determine when it is desirable to provide an explanation for the at least one action of the vehicle; selecting, when it is desirable to provide an explanation for the at least one action, a predetermined plan including an explanation of the at least one action, wherein the selection is based on the analysis of the indication with respect to the data input; and, executing the predetermined plan.

Abstract: A system and method for optimizing resource usage of a robot, the method including: receiving a first request to execute a first task, where the first task requires a first set of resources of the robot; causing the execution of the first task; receiving a second request to execute at least a second task, wherein the second task requires a second set of resources of the robot; determining whether any resources of the first set of resources and the second set of resources includes at least one overlapping resource; modifying at least one of the first task and the at least a second task when at least one overlapping resource is determined by omitting at the least one overlapping resource; and executing of the first task and the at least a second task as modified.

Abstract: A system and method for adjusting a device personality profile. The method includes: generating a first user profile; selecting a first personality profile for a device based on matching the first user profile to a cluster of user profiles, wherein the first personality profile includes a first distribution of character traits in a multidimensional space; sampling a character trait; causing the device to execute at least a physical interaction item, based on the sampled character traits; collecting a set of real-time data from the user indicative of a reaction to the executed physical interaction item; determining a second personality profile for the device including a second distribution over a plurality of second character traits, wherein the second personality profile replaces the first personality profile; and, updating the second personality to enable execution of at least one modified physical interaction item.

Abstract: A system and method for customizing a user model of a device using optimized questioning. The method includes: retrieving a user model associated with a user of a device; identifying a plurality of data items having undetermined certainty levels with respect to the user model; selecting a question that a response thereto is most likely to allow a highest contribution level to the user model, wherein the highest contribution level to the user model is determined based on an analysis of a first contribution level of the question to at least one data item of the plurality of data items and a second contribution level of the at least one data item to the user model; relaying the selected question to the user; receiving a user response to the question; and updating the user model based on the received user response.

Abstract: A system and method for adjusting a device behavior with respect to a privacy class. The method includes collecting sensory inputs from a plurality of sensors; analyzing the sensory inputs using at least the sensory inputs and at least a privacy class of a plurality of privacy classes; determining a privacy rule based on the analysis of the sensory inputs; and, initiating an engagement of the user based on the determined privacy rule.

Abstract: A system and method for personalization of an interaction between a social robot and a user. The method includes: collecting, by at least one of a plurality of sensors, a first set of sensory data indicating a current state of the user; determining, based on the first set of sensory data, whether at least one predetermined goal to be achieved by the user has not yet been achieved; if not, selecting a first operational schema from a plurality of operational schemas having a highest priority score; performing the first operational schema; collecting, by one or more of the plurality of sensors, a second set of sensory data from the user, wherein the second set of sensory data is indicative of a user's response to the first operational schema; and determining an achievement status of the at least one predetermined goal based on the user's response.

Abstract: A system and method for optimizing resource usage of a robot, the method including: receiving a first request to execute a first task, where the first task requires a first set of resources of the robot; causing the execution of the first task; receiving a second request to execute at least a second task, wherein the second task requires a second set of resources of the robot; determining whether any resources of the first set of resources and the second set of resources includes at least one overlapping resource; modifying at least one of the first task and the at least a second task when at least one overlapping resource is determined by omitting at the least one overlapping resource; and executing of the first task and the at least a second task as modified.