A character recommendation method and apparatus, a computer device, and a storage medium are disclosed. The method includes: converting code inputted in a code input interface into a syntax tree, the syntax tree including a plurality of nodes, a hierarchical relationship between the plurality of nodes, and location intervals of the plurality of nodes; determining, according to a cursor location in the code input interface and the syntax tree, at least one reference node corresponding to the cursor location in the syntax tree; parsing the at least one reference node, and determining a to-be-recommended target character according to a parsing result; and recommending the target character in the code input interface.

Disclosed is an electronic apparatus. The electronic apparatus includes a communicator comprising communication circuitry; and a processor configured to control the electronic apparatus to: obtain a recommended message including the inputted text using a machine trained language model, based on a text being input, and control the communicator to transmit the recommended message to an external electronic apparatus based on receiving an input for transmitting the recommended message. The processor may be configured to control the electronic apparatus to obtain the recommended message by applying the inputted text and one or more message transmitted and received between the communicator and the external electronic apparatus prior to the text being input to the language model.

User interface navigation on a personal electronics device based on movements of a crown is disclosed. The device can select an appropriate level of information arranged along a z-axis for display based on crown movement. The navigation can be based on an angular velocity of the crown.

According to some embodiments, a method can include: detecting, by a first computing device, activation of a text input of an application executing on the first computing device; and responsive to the detection of the activation of the text input, sending one or more attributes of the text input from the first computing device to a second computing device displaying the application, the second computing device configured to present a composition window having the one or more attributes in common with the text input of the application, the composition window being part of an input method editor (IME) executing on the second computing device.

In some embodiments, a method includes: receiving, by a first computing device, text composed using a composition window of a second computing device; entering, by the first computing device, the composed text into a text input of an application executing on the first computing device; determining, by the first computing device, one or more attributes of a cursor of the text input, the one or more attributes of the cursor including at least a position of the cursor; and sending, by the first computing device, the one or more attributes of the cursor to the second computing device, the second computing device configured to display the application and to position the composition window relative to the displayed application based on the position of the cursor determined by the first computing device.

A display device includes a first display configured to display a plurality of objects, and a touch panel overlapped with the first display in a plan view. The touch panel includes a pressing force sensor configured to detect a pressing force in each of the plurality of objects. The display device controls display of a second display in accordance with a function of an object with a pressing force detected, among the plurality of objects.

The present disclosure provides a virtual keyboard interface method and system. The method includes pre-training a fingertip detection model; acquiring, by using the fingertip detection model, three-dimensional spatial position coordinates, relative to a preset reference position, of all fingertips on image data to be detected; determining, based on the three-dimensional spatial position coordinates, touch control regions corresponding to the fingertips; in a case where a touch control region overlaps a sensing region of a preset virtual keyboard, acquiring volume information of the touch control region submerged in the sensing region; and determining, based on the volume information and a preset rule, whether the virtual keyboard where the sensing region corresponding to the touch control region is located is triggered.

An enhanced control, in which a guide line is defined relative to an object in a user interface, items aligned with the guide line are displayed without obscuring the object. A selected item is output based on receiving a selection of one of the displayed items.

One embodiment provides a method, including: accepting, at an input surface of an electronic device, ink strokes; determining, using a processor of the electronic device, that the ink strokes include a selection indicator pair; associating, using a processor of the electronic device, the selection indicator pair with content; and selecting, using a processor of the electronic device, the content associated with the selection indicator pair. Other aspects are described and claimed.

A computing device is described which has a memory storing text input by a user. The computing device has a processor which is configured to send the text to a prediction engine having been trained to predict images from text. The processor is configured to receive from the prediction engine, in response to the sent text, a plurality of predictions, each prediction comprising an image predicted as being relevant to the text. The processor is configured to insert a plurality of the images into the text on the basis of criteria comprising one or more of: ranks of the predictions, categories of the images, rules associated with one or more of the images, user input, a trigger word. The processor is configured to insert the plurality of images into the text sequentially, in an order corresponding to ranks of the predictions.