An electronic device, computer program product, and method avoids presenting certain objects during a video communication session. During a video communication session with second electronic device(s), a controller of an electronic device identifies baseline image(s) from an image stream provided by an image capturing device of the electronic device. The baseline image includes a primary image portion of participant(s) and including a scene of objects within the foreground or background of participant (s), during an initial portion of the video communication session. The controller monitors the image stream for a subsequent detection of the primary image portion and of non-participant(s) or object(s) as a secondary image portion that is not included within the baseline image(s). The controller responds to detecting the secondary image portion subsequently appearing within the image stream by communicating, to the one or more second electronic devices, a substitute image stream that does not present the secondary image portion.

An electronic apparatus includes: a memory storing one or more commands; and a processor connected to the memory and configured to control the electronic apparatus, wherein the processor is configured, by executing the one or more instructions, to: identify a first intention word and a first target word from first speech, acquire second speech received after the first speech based on at least one of the identified first intention word or the identified first target word not matching a word stored in the memory, acquire a similarity between the first speech and the second speech, and acquire response information based on the first speech and the second speech based on the similarity being a threshold value or more.

Systems and processes for operating a digital assistant are provided. An example process for performing a task includes, at an electronic device having one or more processors and memory, receiving a spoken input including a request, receiving an image input including a plurality of objects, selecting a reference resolution module of a plurality of reference resolution modules based on the request and the image input, determining, with the selected reference resolution module, whether the request references a first object of the plurality of objects based on at least the spoken input, and in accordance with a determination that the request references the first object of the plurality of objects, determining a response to the request including information about the first object.

According to an embodiment, a wearable electronic device may include a motion sensor, an audio sensor, a display, a memory, and a processor electrically connected to the motion sensor, the audio sensor, and the memory. The processor may be configured to obtain motion sensing information via the motion sensor, obtain an audio signal corresponding to the motion sensing information via the audio sensor, identify a tooth-brushing hand motion type corresponding to the motion sensing information, identify an audio signal pattern corresponding to the tooth-brushing hand motion type, and identify, based on the tooth-brushing hand motion type and the audio signal pattern, a tooth-brushing hand motion. Other embodiments may also be possible.

Disclosed is an electronic device. The electronic device may execute an application for transmitting and receiving at least one of text data or voice data with another electronic device using the communication module, in response to occurrence of at least one event, based on receiving at least one of text data or voice data from the another electronic device, identify that a confirmation is necessary using the digital assistant based on at least one of text data or voice data being generated based on a characteristic of ab utterance using a digital assistant, generate a notification to request confirmation using the digital assistant based on confirmation being necessary, and output the notification using the application.

A method for identifying that a confirmation is necessary may include identifying using voice data or text data that is received from another electronic device using a rule-based or AI algorithm.

When a confirmation is necessary is identified using the AI algorithm, the method may use machine learning, neural network, or a deep learning algorithm.

A screen sharing method, apparatus, and device, and a storage medium. The screen sharing method includes: displaying a shared screen picture in a process of performing screen sharing among N terminals, N being an integer greater than 1, the first terminal being a terminal in the N terminals, and the shared screen picture being synchronously displayed in the N terminals; and highlighting, in a case that a target position in the screen picture displayed in a terminal of the N terminals is triggered, the target position in a screen picture of the first terminal, the target position being a position in the screen picture.

The invention discloses a smart loudspeaker, wherein the smart loudspeaker includes a voice input module, a language recognition module and at least two voice assistants, and the language recognition module receives a voice information from the voice input module and determines the language category based on the voice information and activates the voice assistant corresponding to the language category.

An in-vehicle speech interaction method and a device are provided. The method includes: obtaining user speech information; determining a user instruction based on the user speech information; determining, based on the user instruction, whether response content to the user instruction is privacy-related; and determining, based on whether the response content is privacy-related, whether to output the response content in a privacy protection mode, to protect privacy from being leaked.

An information display system according to the present disclosure includes: display device provided in a mask, the display device being configured to display a screen viewed by a person wearing the mask; and display control unit for switching a displaying mode of the screen.

Cooking recipe display system (100) is provided with database (11), extraction unit (21a), emphasis unit (21b), and output unit (23). Database (11) stores a plurality of cooking recipes each being expressed in natural language sentences. Extraction unit (21a) extracts one or more recipe terms from the natural language sentences constituting one cooking recipe selected from the plurality of cooking recipes. Emphasis unit (21b) determines an emphasis method for the one or more recipe terms. Output unit (23) outputs the one cooking recipe with the one or more recipe terms emphasized according to the emphasis method determined by emphasis unit (21b).