KR-20260064315-A - Electronic device and operating method for the same

Abstract

A method of operation of an electronic device may be provided, comprising: receiving a notification message while a first content is displayed; determining the importance of the received notification message using a first machine learning model trained to determine the importance of the notification message based on the user's response history to the notification message; predicting the user's immersion in the first content by acquiring and inputting information about the first content into a second machine learning model trained to predict the user's immersion in the content being played based on information about the content being played; determining the notification time and method of notification of the received notification message based on the determined importance of the notification message and the predicted user's immersion; and notifying the notification message according to the determined notification time and method of notification of the notification message.

Inventors

• 박재성

Assignees

• 삼성전자주식회사

Dates

Publication Date

20260507

Application Date

20241031

Claims (20)

1. At least one processor including a processing circuit; and An electronic device comprising a memory for storing one or more instructions, wherein the one or more instructions are executed individually or collectively by the at least one processor: Receive a notification message while the first content is displayed, and The importance of the received notification message is determined using a first machine learning model trained to determine the importance of the notification message based on the user's response history to the notification message, and By acquiring and inputting information about the first content into a second machine learning model trained to predict the user's level of immersion in the content currently being played based on information about the content currently being played, the user's level of immersion in the first content is predicted, and Based on the importance of the notification message determined above and the predicted user engagement, the timing and method of notification of the received notification message are determined, and An electronic device that notifies the notification message according to the notification time and notification method determined above.
2. In paragraph 1, the one or more instructions are executed individually or collectively by the one or more processors, thereby Classify the above-mentioned received notification messages, and If the received notification message is classified as a first type, the received notification message is stored without notification, and If the received notification message is classified as a second type, the received notification message is notified at a time when the predicted user's immersion is low, and An electronic device that immediately notifies the received notification message when the received notification message is classified as a third type.
3. In paragraph 2, if the received notification message is classified as a first type, If there is a previously stored message without notification, the received message is combined with the previously stored message without notification to create and store a first combined message, and An electronic device that, if there is a previously stored combined message, combines the received message with the combined message to generate and store a second combined message.
4. In paragraph 3, An electronic device characterized in that the importance of the second combined message is greater than or equal to the importance of the first combined message, and the importance of the first combined message is greater than or equal to the importance of the received notification message.
5. In paragraph 4, When the first combined message is generated, the importance of the first combined message is determined using the first machine learning model, and Based on the importance of the first combined message determined above and the predicted user immersion, the notification timing and notification method of the first combined message are determined, and An electronic device that notifies the first combined message according to the above-determined notification time and notification method.
6. In any one of paragraphs 1 to 5, the one or more instructions are executed individually or collectively by the one or more processors, thereby An electronic device that updates the first machine learning model and the second machine learning model based on the user's feedback regarding the notification of the received message.
7. In any one of paragraphs 1 through 6, The electronic device, wherein the first machine learning model and the second machine learning model are learned on a server.
8. In any one of paragraphs 1 through 7, The above notification method comprises at least one of the following: a method of combining multiple notification messages into a single message, a method of notifying in the form of a popup, a method of notifying in the form of a text bar, a method of notifying after saving, a method of notifying accompanied by voice output, and a method of requesting feedback from the user after notification.
9. In any one of paragraphs 1 through 8, The above second machine learning model is a model trained to predict the level of immersion of the content user in the content based on information about the content and context information of the content user, and An electronic device that predicts the level of immersion of the user in the first content by obtaining and inputting information about the first content and context information of the user into the second machine learning model, wherein the above one or more instructions are executed individually or collectively by the above one or more processors.
10. In any one of paragraphs 1 through 9, An electronic device comprising at least one of the information regarding the first content, the type, genre, motion analysis information, color analysis information, running time information, and the user's playback information of the first content.
11. In a method of operating an electronic device, A step of receiving a notification message while the first content is displayed; A step of determining the importance of the received notification message using a first machine learning model trained to determine the importance of the notification message based on the user's response history to the notification message; A step of predicting the user's immersion in the first content by acquiring and inputting information about the first content into a second machine learning model trained to predict the user's immersion in the content currently being played based on information about the content currently being played; A step of determining the notification timing and notification method of the received notification message based on the importance of the notification message determined above and the predicted user engagement; and A method of operation of an electronic device comprising the step of notifying the notification message according to the notification time and notification method of the notification message determined above.
12. In paragraph 11, the step of determining the notification time and notification method of the received notification message is: A step of classifying the received notification message; If the received notification message is classified as a first type, the received notification message is stored without notification, and If the received notification message is classified as a second type, the received notification message is notified at a time when the predicted user's immersion is low, and A method of operation of an electronic device comprising the step of immediately notifying the received notification message when the received notification message is classified into a third type.
13. In Clause 12, if the received notification message is classified as Type 1, If there is a previously stored message without notification, the received message is combined with the previously stored message without notification to create and store a first combined message, and A method of operation of an electronic device comprising the step of, if there is a previously stored combined message, combining the received message with the combined message to generate and store a second combined message.
14. In Paragraph 13, A method of operation of an electronic device characterized in that the importance of the second combined message is greater than or equal to the importance of the first combined message, and the importance of the first combined message is greater than or equal to the importance of the received notification message.
15. In Paragraph 14, When the first combined message is generated, a step of determining the importance of the first combined message using the first machine learning model; A step of determining the notification timing and notification method of the first combined message based on the importance of the first combined message determined above and the predicted user immersion; and A method of operation of an electronic device comprising the step of notifying the first combined message according to the above-determined notification time and notification method.
16. In any one of paragraphs 11 through 15, A method of operating an electronic device further comprising the step of updating the first machine learning model and the second machine learning model based on the user's feedback regarding the notification of the received message.
17. In any one of paragraphs 11 through 16, A method of operation of an electronic device in which the first machine learning model and the second machine learning model are learned on a server.
18. In any one of paragraphs 11 through 17, The above notification method is a method of operation of an electronic device comprising at least one of the following: a method of combining multiple notification messages into a single message, a method of notifying in the form of a popup, a method of notifying in the form of a text bar, a method of notifying after saving, a method of notifying accompanied by voice output, and a method of requesting feedback from the user after notification.
19. In any one of paragraphs 11 through 18, The above second machine learning model is a model trained to predict the level of immersion of the content user in the content based on information about the content and context information of the content user, and A method of operating an electronic device comprising the step of predicting the level of immersion of the user in the first content by acquiring and inputting information about the first content and context information of the user into the second machine learning model.
20. A computer-readable recording medium having a program recorded thereon for performing the method of any one of paragraphs 11 through 19 on a computer.

Description

Electronic device and operating method for the same Various embodiments relate to an electronic device and a method of operation thereof. More specifically, the invention relates to an electronic device and a method of operation thereof that determine the timing and method of notification by considering the importance of the notification message and the user's immersion in the content when notifying a user of a notification message. As the use of digital devices in daily life increases, so do the notification messages received from these devices. However, it is not easy to determine whether these notification messages contain essential information for the user or are merely noise. While notification messages sometimes provide users with important information in a timely manner, they can occasionally disrupt immersion in content being watched or cause stress. Therefore, to address this issue, research is needed on methods to eliminate unnecessary notification messages and provide only important messages to the user in an appropriate manner by learning the user's electronic device usage patterns. FIG. 1 is a drawing illustrating an example of an electronic device operating according to one embodiment of the present disclosure. FIG. 2 is a diagram showing examples of notification messages obtained from various external devices according to one embodiment of the present disclosure. FIG. 3 is a diagram illustrating examples of various external devices capable of transmitting a notification message to an electronic device according to one embodiment of the present disclosure. FIG. 4 is a drawing showing an example of a notification message according to one embodiment of the present disclosure. FIG. 5 is a diagram illustrating an example of a method in which an electronic device according to one embodiment of the present disclosure determines the importance of a received notification message using artificial intelligence. FIG. 6 is a diagram showing an example of a user notification message response history obtained by an electronic device according to one embodiment of the present disclosure. FIG. 7 is a diagram illustrating an example of a method in which an electronic device according to one embodiment of the present disclosure predicts the level of immersion of a content user in content using artificial intelligence. FIG. 8 is a flowchart of a method for an electronic device according to one embodiment of the present disclosure to identify information about content in order to predict the level of immersion of a content user in the content. FIG. 9 is a flowchart of a method of operation of an electronic device according to one embodiment of the present disclosure. FIG. 10 is a drawing illustrating an example of a method in which an electronic device according to one embodiment of the present disclosure notifies a notification message. FIG. 11 is a diagram illustrating an example of a method for determining the importance of a received notification message by an electronic device according to one embodiment of the present disclosure. FIG. 12 is a flowchart of a method for an electronic device to process a combined message according to one embodiment of the present disclosure. FIG. 13 is a diagram illustrating a method for an electronic device according to one embodiment of the present disclosure to generate received notification messages into a combined message and a change in importance during the process. FIG. 14 is a flowchart of an electronic device according to one embodiment of the present disclosure. FIG. 15 is a block diagram of an electronic device according to one embodiment of the present disclosure. FIG. 16 is a detailed block diagram of an electronic device according to one embodiment of the present disclosure. FIG. 17 is a diagram illustrating an example of a structure in which an electronic device according to one embodiment of the present disclosure operates using a server. FIG. 18 is a diagram illustrating an example of a structure in which an electronic device according to one embodiment of the present disclosure operates using an on-device AI. Embodiments of the present disclosure are described below in detail with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present disclosure may be embodied in various different forms and is not limited to the embodiments described herein. The terms used in this disclosure are described in their current, general form considering the functions mentioned herein; however, they may refer to various other terms depending on the intent of those skilled in the art, case law, the emergence of new technologies, etc. Accordingly, the terms used in this disclosure should not be interpreted solely by their names, but should be interpreted based on the meaning of the terms and the overall content of this disclosure. Furthermore, the terms used in this disclosure are used merely to describe specific embodimen