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: 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 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 computer-implemented method for automatically detecting events and creating photo-product designs based on the events in a photo-product design system includes automatically identifying an event by an event detection module based on daily numbers of captured photos over a plurality of days, automatically selecting a photo-product type by an intelligent product design creation engine in the photo-product design system, calculating a daily weight for a photo product design in the photo-product type based on the daily numbers of captured photos, automatically determining a number of product photos allocated to each day based on associated daily weight, automatically selecting product photos from the captured photos each day at the event according to the number of product photos allocated to each day, and automatically creating a photo-product design for the event using the selected product photos.

Abstract: A computer-implemented method for automatically detecting events and creating photo-product designs based on the events in a photo-product design system includes automatically identifying an event by an event detection module based on daily numbers of captured photos over a plurality of days, automatically selecting a photo-product type by an intelligent product design creation engine in the photo-product design system, calculating a daily weight for a photo product design in the photo-product type based on the daily numbers of captured photos, automatically determining a number of product photos allocated to each day based on associated daily weight, automatically selecting product photos from the captured photos each day at the event according to the number of product photos allocated to each day, and automatically creating a photo-product design for the event using the selected product photos.

Abstract: A system includes a processor, safety devices including a door-related safety device, and environmental condition detection sensors. The processor is configured to receive environmental condition sensor data from the at least one environmental condition detection sensor. An imminent occurrence of a threat event tis detected that would cause the damage a building. A risk analysis model analyzes threat event related environmental condition sensor data to predict a risk value that the at least one threat event would cause the damage to the at least one building and to generate risk mitigation actions that at least reduces the damage during the actual occurrence of the threat event. Prior to the actual occurrence of the threat event, respective risk mitigation instructions are transmitted to actuators that cause an operational state change of safety devices so as to at least reduce the damage to the building from the threat event.

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 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 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 conducting a strategy of a digital assistant includes identifying a plurality of potential plans for a user based on input data, wherein the plurality of potential plans includes an optimal plan and at least one suboptimal plan, wherein the input data includes historical data and a current state of the user; extracting a first dataset, a second dataset, and a third dataset from the input data, wherein the first dataset provides a rejection history, wherein the second dataset indicates receptiveness level of the user, wherein the third dataset includes confidence levels of expected reward values; determining an exploration score based on the first dataset, the second dataset, the third dataset, and the input data; determining a strategy based on the determined exploration score; and causing the digital assistant to perform at least one of the plurality of potential plans based on the determined strategy.

Abstract: A method for updating electronic records of a user including: creating a policy based on historic states of a user and feedback data captured by an input/output (I/O) device in response to projection of a plurality of health-related questions, wherein the policy includes a plurality of rules for determining customized questions for the user and a plurality of rules for determining plans for projecting customized questions to the user; determining at least one customized question for the user based on the policy and a health-related data of the user; determining a plan for projecting the at least one customized question to the user based on the policy and a current state of the user; projecting the at least one customized question via the I/O device; and updating an electronic record based on a response by the user to the at least one customized question captured via the I/O device.

Abstract: A method for identifying and presenting a customized health-related feature for a user of a digital assistant. The method includes: determining, based on an input dataset, a current state of a user and a desirability score; generating a first group of a plurality of health-related features based on the current state, wherein the plurality of health-related features within the first group shares at least a common characteristic among the plurality of health-related features; extracting an experience level value for each of the plurality of health-related features within the first group; identifying a customized health-related feature; and presenting the customized health-related feature by the digital assistant.

Abstract: A computer-implemented method for automatically detecting events and creating photo-product designs based on the events in a photo-product design system includes automatically identifying an event by an event detection module based on daily numbers of captured photos over a plurality of days, automatically selecting a photo-product type by an intelligent product design creation engine in the photo-product design system, calculating a daily weight for a photo product design in the photo-product type based on the daily numbers of captured photos, automatically determining a number of product photos allocated to each day based on associated daily weight, automatically selecting product photos from the captured photos each day at the event according to the number of product photos allocated to each day, and automatically creating a photo-product design for the event using the selected product photos.

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 method and system for providing a recommendation by a digital assistant using a persuasive action are provided. The method includes determining a recommendation for a user of the digital assistant to perform a certain activity, wherein the recommendation is determined based on a current state of the user; analyzing a historical dataset related to the user to compile a persuasive action, wherein the persuasive action is customized based on at least one convincing method and based on the analysis of the historical dataset and the current state of the user; and presenting the determined recommendation by applying the persuasive action, wherein the recommendation is presented by means of an input/output (I/O) device executing the digital assistant, wherein the persuasive action is a convincing method having the highest probability to cause the user to accept the recommendation of the digital assistant.

Abstract: 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.

Abstract: A method and system for generating a modified input/output (I/O) device policy in response to external promotional events. The method includes generating a modified policy based on a request to promote at least one service, wherein the modified policy is generated based on at least one service currently defined in an initial policy of the I/O device and similar to the at least one service to be prompted; determining a current state of a user of the I/O device based on a collected dataset related to a user of the I/O device; and executing, based on the current state, at least one plan defined in the modified policy, wherein executing the at least one plan further includes causing the I/O device to activate at least one service to be prompted.

Abstract: 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.

Abstract: A system and method for modifying an initial policy of an input/output device are provided.

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.