Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.

Abstract: Embodiments herein disclose methods and systems for identifying behavioural trends across users. The system includes electronic devices. The electronic devices include a behavioural recommendation controller. The behavioural recommendation controller is configured to: detect a first plurality of activities performed by a plurality of first users in relation with a plurality of contexts; recognize the first plurality of physical activities in relation with the plurality of contexts for the first user; recognize multiple activities performed using smart devices by the first user during each first physical activity in each context; and recognize a second plurality of physical activities performed by multiple concurrent second users during each context to refer current behavior or new behavior of the users.

Abstract: A method and system for learning universal vector representation of concepts in a distributed environment comprising a plurality of edge devices are provided. The method includes obtaining data from one or more sources available at the candidate edge device, determining a plurality of concepts from the obtained data, training on-device artificial intelligence (AI) model locally available at the candidate edge device using the plurality of concepts. The method also includes transmitting the at least one trained on-device AI model to a server and receiving a global AI model for deployment from the server. The method further includes deploying the global AI model for universal vector representation of concepts in the candidate edge device.

Abstract: The present disclosure relates to a method and a layout generation system for generating dynamic User Interface (UI) layout for an electronic device. The method includes identifying one or more operations related to at least one UI element based on a current state of a display screen of the electronic device, calculating a saliency score and an aesthetic score for each of a plurality of grids determined on the display screen, based on the calculated saliency score and the calculated aesthetic score, identifying a plurality of candidate regions, identifying an optimal region from the plurality of candidate regions based on a user interaction score and generating the dynamic UI layout by performing the one or more operations related to the at least one UI element in the optimal region.

Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.

Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.

Abstract: The present disclosure relates to a method and a layout generation system for generating dynamic User Interface (UI) layout for an electronic device. The method includes identifying one or more operations related to at least one UI element based on a current state of a display screen of the electronic device, calculating a saliency score and an aesthetic score for each of a plurality of grids determined on the display screen, based on the calculated saliency score and the calculated aesthetic score, identifying a plurality of candidate regions, identifying an optimal region from the plurality of candidate regions based on a user interaction score and generating the dynamic UI layout by performing the one or more operations related to the at least one UI element in the optimal region.

Abstract: A method of outputting a response to a user input in an electronic device is provided. The method includes receiving a user input from a user and, in response to receiving the user input, generating a first response comprising first content based on the user input, obtaining contextual information of the user, generating a second response comprising second content based on the contextual information, the second content being different from the first content, generating a combined response based on the first response and the second response, and outputting the combined response.

Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.