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: A method of generating structured relation information in an electronic device may include: classifying a first text input received by at least one application installed on the electronic device, into at least one category; extracting, from the first text input, a first entity representing a context of the first text input; generating structured relation information by associating the first entity extracted from the first text input, with a second entity extracted from at least one second text input stored in the electronic device or a server; and displaying the structured relation information on the electronic device.

Abstract: A method of generating structured relation information in an electronic device may include: classifying a first text input received by at least one application installed on the electronic device, into at least one category; extracting, from the first text input, a first entity representing a context of the first text input; generating structured relation information by associating the first entity extracted from the first text input, with a second entity extracted from at least one second text input stored in the electronic device or a server; and displaying the structured relation information on the electronic 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: Embodiments herein provide a method for managing private content by an electronic device (100). The method includes: displaying content on a screen of the electronic device (100), wherein the content is stored in a non-secure folder of the electronic device (100) and extracting a feature(s) of the displayed content to categorize the displayed content using a machine learning (ML) model. Further, the method includes categorizing the displayed content into the private content or public content based on globally objectionable private content and user-specific objectionable private content. Further, the method includes displaying a recommendation on the screen of the electronic device (100) for transferring the displayed content into a secure folder of the electronic device (100), detecting an event to transfer the private content into the secure folder of the electronic device (100), and automatically transferring the private content from the non-secure folder to the secure folder of the electronic device (100).

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 generating structured relation information in an electronic device may include: classifying a first text input received by at least one application installed on the electronic device, into at least one category; extracting, from the first text input, a first entity representing a context of the first text input; generating structured relation information by associating the first entity extracted from the first text input, with a second entity extracted from at least one second text input stored in the electronic device or a server; and displaying the structured relation information on the electronic device.

Abstract: An electronic device and a method for predicting a response are provided. The electronic device includes a display and a processor configured to receive at least one message, identify at least one contextual category of the at least one message, predict at least one response for the at least one message from a language model based on the at least one contextual category, and control the display to display the at least one predicted response.

Abstract: A method for retrieving content by processing a user request received by a first device identifying other devices in proximity to the first device, and retrieving content related to the user request from the other devices based on one or more menu trees.

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.

Abstract: An image processing method, including preparing a first image; designating at least one region of interest (ROI) in the first image, generating restoration data; and generating a second image using the restoration data, the second image corresponding to the ROI, wherein a resolution of the second image is higher than a resolution of a region corresponding to the ROI in the first image.

Abstract: An electronic device and a method for predicting a response are provided. The electronic device includes a display and a processor configured to receive at least one message, identify at least one contextual category of the at least one message, predict at least one response for the at least one message from a language model based on the at least one contextual category, and control the display to display the at least one predicted response.

Abstract: An image processing method, including preparing a first image; designating at least one region of interest (ROI) in the first image, generating restoration data; and generating a second image using the restoration data, the second image corresponding to the ROI, wherein a resolution of the second image is higher than a resolution of a region corresponding to the ROI in the first image.

Abstract: A method of performing a touch action in a touch-sensitive device is provided. The method includes detecting a shape of a contact area associated with a touch input provided on a touch screen, determining whether the detected shape is valid based on a predetermined criteria, detecting a gesture based on a movement of a validated shape, determining whether the detected gesture is valid by matching the detected gesture with one or more predefined gestures, and performing the touch action based on a determination that the detected gesture is valid and a determination that the detected shape is valid.