Abstract: An electronic device is provided. The electronic device includes memory, a display, and a processor. The memory stores at least one instruction configured to cause, when executed by the processor, the electronic device to, according to an embodiment, when a first input for capturing screenshot for information displayed on the display is identified, obtain data related to an application providing the information, as metadata of the captured screenshot. The memory stores at least one instruction configured to cause, when executed by the processor, the electronic device to, according to an embodiment, when a second input for editing the captured screenshot is identified, identify whether an edit template associated with metadata of the captured screenshot exists in the memory.

Abstract: The present invention relates to an interaction method using eye tracking data, used in human-computer interface system with at least a screen configured to display at least user contents and eye tracking device to collect eye tracking data. The method comprising following steps: displaying selection keys on the screen, when there is a selecting interaction control signal of the user reflecting that the user intends to automatically change user contents being displayed on the screen; defining a selection key which the user wants to input based on at least the eye tracking data when the user inputs the selection key by eye gaze; automatically changing the user contents in a predefined changing manner corresponding to the selection key inputted by the eye gaze of the user, wherein said predefined changing manner selected from a group including at least scroll down, scroll up, scroll right, scroll left, zoom in, zoom out, turn the pages, move the pages, and insert new contents.

Abstract: The present invention relates to a method for processing data executed by a computing apparatus including at least a storage and a processor in a human-computer interface system using electroencephalography (EEG) data and eye tracking (ET) data, the method comprising following steps: representing through the control interface, a set of list of keys which is associated with user actions; collecting and processing the two EEG and ET dataset, to determine whether the user is looking at a certain key or not and the concentration state of the user while looking at that key, if yes then activating a time counting parameter t with an increasing rate of the time counting parameter ?>0 and an adjusting rate ?T; confirming whether the user wants to select that key or not, based on a time constraint defined as t?dwell, wherein dwell is a known parameter according to a conventional method corresponding to a required time duration that the user has to look at a key to select that key.