Personalized data generation method and device, electronic equipment and program product

Abstract

The embodiment of the invention discloses a personalized data generation method and device, electronic equipment and a program product. The method is applied to first electronic equipment and comprises the steps that user data of a target user are obtained, and the user data comprise office data in an office application program; personalized data are generated according to the user data through a first artificial intelligence model, and the personalized data comprise at least one of personalized images, personalized characters and personalized states; and synchronizing the personalized data to a personalized display function of the office application program, and / or synchronizing the personalized data to second electronic equipment which establishes communication connection with the first electronic equipment. According to the personalized data generation method and device, the electronic equipment and the program product, the interestingness and personalization of the office application program and related electronic equipment (such as an electronic work card) can be improved, and the use experience of a user on the office application program is improved.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence technology, specifically to a method, apparatus, electronic device, and program product for generating personalized data. Background Technology

[0002] In people's daily work, office applications are commonly used to handle tasks and help improve work efficiency. Currently, most office applications only focus on implementing basic office functions, such as automated approvals and form creation. Although they can meet users' basic office needs, office applications have low levels of fun and personalization, resulting in a poor user experience. Summary of the Invention

[0003] This application discloses a method, apparatus, electronic device, and program product for generating personalized data, which can enhance the fun and personalization of office applications and improve the user experience of office applications.

[0004] This application discloses a method for generating personalized data, applied to a first electronic device, the method comprising:

[0005] Acquire user data of the target user, including office data from office applications;

[0006] Personalized data is generated based on the user data using a first artificial intelligence model. The personalized data includes at least one of personalized images, personalized text, and personalized status.

[0007] The personalized data is synchronized to the personalized display function of the office application, and / or the personalized data is synchronized to a second electronic device that establishes a communication connection with the first electronic device.

[0008] This application discloses an electronic work badge, which establishes a communication connection with a first electronic device. The electronic work badge includes a transceiver unit and a display device.

[0009] The transceiver unit is used to receive a work badge image sent by the first electronic device through the communication connection. The work badge image is generated by the first electronic device based on the user data of the target user through a first artificial intelligence model. The user data includes office data in an office application.

[0010] The display device is used to display the image of the employee badge.

[0011] This application discloses a personalized data generation device, applied to a first electronic device, the device comprising:

[0012] The data acquisition module is used to acquire user data of the target user, including office data in office applications;

[0013] The generation module is used to generate personalized data based on the user data using a first artificial intelligence model. The personalized data includes at least one of personalized image, personalized text, and personalized status.

[0014] The synchronization module is used to synchronize the personalized data to the personalized display function of the office application, and / or to synchronize the personalized data to a second electronic device that establishes a communication connection with the first electronic device.

[0015] This application discloses an electronic device, including a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, the processor performs the method described above.

[0016] This application discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, causes the processor to implement the method described above.

[0017] This application discloses a computer program product, including a computer program, which, when executed by a processor, implements the method described above.

[0018] The personalized data generation method, apparatus, electronic device, and program product disclosed in this application involve a first electronic device acquiring user data of a target user, including office data from an office application. A first artificial intelligence model generates personalized data based on this user data, including at least one of personalized images, personalized text, and personalized status. The first electronic device synchronizes the personalized data to the personalized display function of the office application and / or to a second electronic device that has established a communication connection with the first electronic device. In this application embodiment, the first electronic device can generate personalized data based on the target user's user data using an artificial intelligence model. Since the user data includes office data from an office application, the generated personalized data can match the target user's actual work situation. The first electronic device can synchronize this personalized data to the personalized display function of the office application and / or the second electronic device, enabling the personalized display function of the office application and / or the second electronic device to display personalized data matching the target user's actual work situation, thereby enhancing the fun and personalization of the office application and related electronic devices (such as electronic name tags). Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is an application scenario diagram of a personalized data generation method in one embodiment;

[0021] Figure 2 This is a flowchart of a method for generating personalized data in one embodiment;

[0022] Figure 3 This is a schematic diagram of the interface for generating personalized emojis in one embodiment;

[0023] Figure 4 This is a schematic diagram of the interface for generating a personalized avatar in one embodiment;

[0024] Figure 5A This is a schematic diagram of the interface for synchronizing personalized text in one embodiment;

[0025] Figure 5B This is a schematic diagram of the interface for synchronizing personalized text in another embodiment;

[0026] Figure 6A This is a schematic diagram of the interface for synchronizing personalized states in one embodiment;

[0027] Figure 6B This is a schematic diagram of the interface for synchronizing personalized states in another embodiment;

[0028] Figure 7 This is a schematic diagram illustrating the synchronization of employee badge images to electronic employee badges in one embodiment;

[0029] Figure 8 This is a schematic diagram of the prompt interface in one embodiment;

[0030] Figure 9 A flowchart of a method for generating personalized data in another embodiment;

[0031] Figure 10 This is a schematic diagram of an interface where the target style is determined by a first artificial intelligence model in one embodiment.

[0032] Figure 11 A flowchart of a method for generating personalized data in another embodiment;

[0033] Figure 12 This is a schematic diagram of the interface for uploading materials to the material library in one embodiment;

[0034] Figure 13 This is a schematic diagram of the first interface in one embodiment;

[0035] Figure 14 This is a flowchart illustrating the generation of a target random event in one embodiment;

[0036] Figure 15A This is a schematic diagram of the second interface in one embodiment;

[0037] Figure 15B This is a schematic diagram of the first interface in another embodiment;

[0038] Figure 16 A block diagram of an electronic employee badge in one embodiment;

[0039] Figure 17 A block diagram of a personalized data generation apparatus in one embodiment;

[0040] Figure 18 This is a structural block diagram of an electronic device in one embodiment. Detailed Implementation

[0041] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0042] It should be noted that the terms "comprising" and "having," and any variations thereof, in the embodiments and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0043] It is understood that the terms "first," "second," etc., used in this application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, without departing from the scope of this application, a first electronic device may be referred to as a second electronic device, and similarly, a second electronic device may be referred to as a first electronic device. Both the first electronic device and the second electronic device are electronic devices, but they are not the same electronic device. The term "multiple" as used in this application refers to two or more. The term "and / or" as used in this application refers to one of the solutions, or any combination of multiple solutions.

[0044] Figure 1 This is an application scenario diagram of a personalized data generation method in one embodiment. For example... Figure 1 As shown, the method for generating personalized data can be applied to a first electronic device 110, which may include, but is not limited to, mobile phones, tablets, laptops, wearable devices (such as smartwatches, smart glasses, etc.) and PCs (Personal Computers).

[0045] The first electronic device 110 can run an office application, which can refer to an application used to realize office functions. The office application can be set with a variety of office-related functions, such as automatic approval, form creation, meeting function, attendance function and social function, etc.

[0046] The first electronic device 110 can acquire user data of a target user, which may include office data from office applications. The first electronic device 110 can generate personalized data based on the user data using a first artificial intelligence model. This personalized data includes at least one of personalized images, personalized text, and personalized status. The first electronic device 110 can synchronize the personalized data to the personalized display function of the office application.

[0047] In some embodiments, the first electronic device 110 may establish a communication connection with the second electronic device 120. After the first electronic device 110 generates personalized data, the generated personalized data can be synchronized to the second electronic device 120 through the communication connection.

[0048] Optionally, the second electronic device 120 may include, but is not limited to, electronic employee badges, smart access cards, or terminal devices such as mobile phones, tablets, and attendance machines. The second electronic device 120 may include a display device 122. The personalized data generated by the first electronic device 110 may include personalized images. The first electronic device 110 synchronizes the personalized images to the second electronic device 120, and the second electronic device 120 can display them through the display device 122.

[0049] For example, the second electronic device 120 is an electronic work badge. The first electronic device 110 can generate a personalized work badge image based on user data and send the image to the electronic work badge, which then displays the image via the display device 122. This allows the electronic work badge to display a personalized image that changes according to user data. Compared to fixed images (such as fixed professional photos) on work badges in related technologies, combining the user's real personal data generates a more personalized expression that matches the user's status, thus enhancing the fun and personalization of the electronic work badge.

[0050] In some embodiments, the communication connection between the first electronic device 110 and the second electronic device 120 may include, but is not limited to, wireless communication connections such as NFC (Near Field Communication) connection, Bluetooth connection, and Wi-Fi connection. The communication connection between the first electronic device 110 and the second electronic device 120 may also be a wired communication connection established through a USB (Universal Serial Bus) interface, which is not limited here.

[0051] like Figure 2 As shown, in one embodiment, a method for generating personalized data is provided, which can be applied to the first electronic device described above. The method includes the following steps:

[0052] Step 210: Obtain user data of the target user, including office data from office applications.

[0053] The target user can refer to the user corresponding to the first electronic device. The target user can be the owner of the first electronic device or the user corresponding to the currently logged-in account in the office application. The user data of the target user can be used to build a user profile of the target user, and this user data may include at least the office data in the office application.

[0054] Office data refers to data related to the target user's work. For example, office data may include, but is not limited to, one or more of the following: office hours, office schedule, office tasks, work progress, and performance completion rate. Office hours may include, but is not limited to, the target user's daily working hours, start and end times. Office tasks may include, but are not limited to, pending tasks, meetings, and activities. Office schedules refer to the time corresponding to office tasks arranged during work hours (e.g., task time, meeting time, activity time). Daily office work can also be understood as office tasks arranged in different time periods (e.g., office tasks corresponding to multiple time periods throughout the day). Work progress refers to the progress of processing work tasks. Performance completion rate refers to the progress of achieving set performance goals, such as the percentage of performance achieved relative to the performance goal.

[0055] In some embodiments, the target user's user data may also include one or more of the following: the target user's basic personal data, location data, weather data, exercise data, vital sign data, and date type. The basic personal data may include, but is not limited to, one or more of the target user's personal information such as name, age, gender, years of service, length of service, height, and weight; location data refers to the target user's location information; weather data may refer to one or more of the following: current or historical weather (such as rain, sunny, cloudy, etc.), temperature, and humidity; exercise data may include, but is not limited to, one or more of the following: the type of exercise the target user participates in (such as running, walking, cycling, etc.), the actual amount of exercise performed (such as steps, distance run or cycled, etc.), and calories burned; vital sign data may include, but is not limited to, one or more of the following: heart rate, pulse, blood pressure, and blood sugar; and date type may refer to the type of the current day or a historical time period (such as weekday, rest day, holiday, etc.).

[0056] By leveraging a variety of rich user data, we can more accurately analyze the user profiles of target users and their current characteristics, especially their work-related characteristics, thereby improving the accuracy of the personalized data generated subsequently.

[0057] In some embodiments, the user data of the target user may all originate from office applications, which collect various types of data and analyze them to obtain user data. For example, the office application may obtain the positioning data of the first electronic device through the positioning module, and / or the office application may obtain sensor data collected by the sensors of the first electronic device (such as one or more of an accelerometer, gyroscope, gravity sensor, heart rate sensor, etc.) and analyze the sensor data to obtain motion data, vital sign data, etc., and / or the office application may retrieve weather data from the weather program of the first electronic device or from a server, but is not limited to these.

[0058] Furthermore, the first electronic device can obtain the target user's user data from the office application if authorization information is obtained. The first electronic device runs the office application, which can request authorization from the user through pop-ups or other means. If the user agrees to the office application collecting various types of user data, an authorization operation is triggered, and the office application obtains the authorization information. With the authorization information obtained, the office application can collect and store user data. When personalized data needs to be generated, the first electronic device can obtain the target user's user data from the office application.

[0059] Optionally, the office application should request authorization from users for each type of user data. Users can choose the types of user data to authorize based on their actual needs. For example, users can authorize location data, weather data, and office data, while choosing not to authorize vital sign data. The office application can determine the types of user data with authorization information, collect the corresponding user data for these authorized types, and store it. For user data types without authorization information, the office application will not collect them.

[0060] By adopting the above implementation method, user data can only be obtained with the user's authorization, thereby improving the security of user data and protecting user privacy.

[0061] In some embodiments, the target user's data may originate not only from office applications but also from other applications and / or other functional modules of the first electronic device. For example, location data may be obtained from a positioning module (such as GPS (Global Positioning System)), and motion data may be obtained from a fitness program. Optionally, the target user's data may also be obtained from other electronic devices. For instance, the first electronic device may establish a communication connection with a wearable device (such as a smartwatch), and the wearable device may send collected vital sign data (such as heart rate and blood pressure) to the first electronic device.

[0062] Step 220: Generate personalized data based on user data using the first artificial intelligence model.

[0063] Personalized data refers to data that reflects the personal characteristics of a target user. Furthermore, the personalized data generated in this application embodiment can be applied to office scenarios, such as office application scenarios and second electronic devices related to office scenarios (e.g., electronic employee badges). Personalized data can display the personal characteristics of a target user in an office scenario. Different personalized data are generated for different users' data; different personalized data are also generated for different user data of the same user, enabling personalized data to accurately and timely represent the user's personal characteristics.

[0064] Personalized data may include, but is not limited to, at least one of personalized images, personalized text, and personalized status.

[0065] The format of personalized images may include, but is not limited to, static images, animated images, videos, and animations. For example, personalized images may include, but are not limited to, personalized emoticons and / or personalized avatar images, which can be used to represent the personal image of the target user, such as personalized avatars or virtual character images.

[0066] Personalized text may include, but is not limited to, one or more of the following: a personal signature, an alias, and interactive feedback text. A personal signature refers to text displayed in the signature or personal interface that introduces or describes the individual, showcasing their personality, interests, or status. An alias refers to a name that distinguishes it from the target user's real name, such as a nickname or pet name.

[0067] Interactive feedback text refers to the text displayed when a target user's communication partner triggers a target interactive action. When a target user is communicating with other users using an office application (such as through chat), the communication partner (i.e., the other user currently communicating) can trigger a target interactive action to interact with the target user. When the communication partner triggers the target interactive action, the first electronic device can display this interactive feedback text. Furthermore, the communication partner's electronic device can also display this interactive feedback text, thereby improving interactivity.

[0068] Personalized status may include, but is not limited to, one or more of the following: work status, commuting status, health status, and emotional status. Work status refers to a user's personal state in an office setting. Optionally, work status may include a first work status and / or a second work status. The first work status can be used to indicate the target user's workload, such as light overtime, heavy overtime, or full workload. The second work status can be used to indicate the target user's work context, such as being in a meeting, taking a break, in a do-not-disturb state, thinking creatively, or waiting for a message.

[0069] Commuting status can be used to describe the target user's commuting situation to and from get off work, such as commuting time, commuting mode (e.g., driving, taking public transportation), whether the commute is delayed (e.g., being late, traffic congestion), and commuting experience (easy commuting, tiring commuting), etc.

[0070] Health status can be used to describe the health condition of the target user, such as very healthy, lack of exercise, sub-healthy, or at risk of disease.

[0071] Emotional states can be used to describe the emotions of target users, such as excitement, high energy, fatigue, or low mood.

[0072] The first AI model may have the ability to generate personalized digits based on user data. Optionally, the first AI model may be an AI model capable of generating text and / or images. The model architecture of the first AI model may include, but is not limited to, Transformer models, Recurrent Nearal Networks (RNNs), Generative Adversarial Networks (GANs), etc., or it may be a combination of multiple different AI models.

[0073] A first electronic device can input user data into a first artificial intelligence model, which then analyzes the user data and generates personalized data. The first artificial intelligence model can analyze the user data, extract user features, and generate personalized data based on these features. Taking the generation of a personalized image as an example, the first artificial intelligence model can extract user features from the user data and generate descriptive text based on these features. This descriptive text can be used to describe the image content of the personalized image to be generated, such as generating a happy expression or an expression indicating fatigue. The personalized image is then generated based on this descriptive text.

[0074] For example, the first artificial intelligence model can be trained using a large amount of training data, which may include sample user data and sample personalized data (such as sample personalized images, sample personalized states, and sample personalized text). Optionally, there may be multiple first artificial intelligence models used to generate different types of personalized data, such as a first artificial intelligence model for generating personalized images, a first artificial intelligence model for generating personalized text, and a first artificial intelligence model for generating personalized states. The first artificial intelligence corresponding to different types of personalized data can adopt different model architectures. For example, the first artificial intelligence for generating personalized images can adopt a GAN model, the first artificial intelligence for generating personalized text can adopt a Transformer model, and the first artificial intelligence for generating personalized states can adopt decision trees, random forests, etc., without limitation. The first artificial intelligence corresponding to different types of personalized data can be trained independently using different training data to improve model performance.

[0075] Step 230: Synchronize the personalized data to the personalized display function of the office application, and / or synchronize the personalized data to a second electronic device that has established a communication connection with the first electronic device.

[0076] Personalized display features in office applications refer to functions that display personalized information relevant to the user, such as emoji functionality, personal avatar display, personal status display, user identity display, and interactive behavior trigger information display. Specifically, the emoji function allows users to send emojis when using the application for social interaction (e.g., chatting with other users, expressing personal feelings, or posting updates). The personal avatar display function showcases the user's personal image, such as avatars or virtual character images. The personal status display function shows the user's personal status, such as personal signatures or status tags corresponding to their personalized status. The user identity display function shows the user's identity information, such as aliases, accounts, gender, and birthday. The interactive behavior trigger information display function shows relevant information when a specified interactive behavior is triggered.

[0077] In some embodiments, when multiple categories of personalized data are generated, the first electronic device can synchronize the personalized data of each category to the personalized display function corresponding to that category in the office application. For example, if the generated personalized data is a personalized emoji, the personalized emoji can be synchronized to the emoji function so that the target user can use the personalized emoji in the emoji function of the office application. As another example, if the generated personalized data is a personalized avatar, the personalized avatar can be synchronized to the avatar display in the personal image display function, so that the generated personalized avatar can be directly displayed.

[0078] By synchronizing the generated personalized data to the personalized display function of the office application, the information displayed by the office application can be associated with the actual personal situation of the target user, especially with the actual work situation of the target user. This can better showcase the personal characteristics of the target user in the office scenario, improve the fun and personalization of the office application, and enhance the interactivity between the application and the user.

[0079] In some embodiments, the first electronic device can also synchronize the generated personalized data to the second electronic device. The first electronic device can send the generated personalized data to the second electronic device via a communication connection. Furthermore, the second electronic device can be an electronic device in an office setting, capable of displaying the received personalized data to better showcase the target user's personal characteristics in the office environment and enhance interactivity with the user.

[0080] In this embodiment, the first electronic device can generate personalized data based on the user data of the target user through an artificial intelligence model. Since the user data includes office data in the office application, the generated personalized data can match the actual work situation of the target user. The first electronic device can synchronize the personalized data to the personalized display function of the office application and / or the second electronic device, so that the personalized display function of the office application and / or the second electronic device can display personalized data that matches the actual work situation of the target user, thereby improving the fun and personalization of the office application and related electronic devices (such as electronic name tags), and improving the user's experience of using the office application.

[0081] In some embodiments, the first electronic device can generate a personalized image based on user data using a first artificial intelligence model. As one implementation, the personalized image may include a personalized emoji pack. The personalized display function of the office application includes an emoji pack function, and the first electronic device can store the personalized emoji pack in the emoji pack database corresponding to the office application.

[0082] For example, Figure 3 This is a schematic diagram of the interface for generating personalized emojis in one embodiment. Figure 3 As shown, the first electronic device generates a personalized emoticon pack 314 based on the target user's user data using a first artificial intelligence model, and displays it on a first interface 310, which can be the interface for generating personalized data. The first interface 310 may include a synchronization control 312, which the user can trigger. When the first electronic device detects a trigger operation on the synchronization control 312, it can store the personalized emoticon pack 314 in the emoticon database corresponding to the office application. The user can see the personalized emoticon pack 314 in the emoticon function of the chat interface 320 of the office application and can select the personalized emoticon pack 314 to send to a communication partner.

[0083] In one implementation, the personalized image may include a personalized avatar image, and the personalization display function of the office application includes a personal avatar display function. The first electronic device can set the personal avatar in the office application as the personalized avatar image.

[0084] For example, personalized avatar images may include personalized avatars, virtual character images, etc.

[0085] For example, Figure 4 This is a schematic diagram of the interface for generating a personalized avatar in one embodiment. For example... Figure 4As shown, the first electronic device generates a personalized avatar image 412 based on the target user's user data using a first artificial intelligence model, and displays it on the first interface 310. The first interface 310 may include a synchronization control 312, which the user can trigger. When the first electronic device detects a trigger operation on the synchronization control 312, it can set the user's personal avatar in the office application to the avatar image 412. The user directly sees the avatar image 412 in the personal interface 420 of the office application.

[0086] In the above embodiments, the first electronic device can generate personalized images based on user data, such as generating personalized emoticons and / or personalized images related to the target user's office data, and then synchronizing them to the corresponding personalized display function of the office application. This not only improves the fun and interactivity of the office application, but also enhances its convenience and simplifies the user's operation of using personalized emoticons and / or personalized images.

[0087] In some embodiments, the first electronic device can generate personalized text based on user data through a first artificial intelligence model, and the first electronic device can set the personalized text in the personalized display function corresponding to the personalized text in the office application.

[0088] In one implementation, the personalized text includes a personal signature, which the first electronic device can set as the personal signature of the personal status display function in an office application.

[0089] In one implementation, the personalized text includes an alias, which the first electronic device can set as the name of the personal status display function in an office application.

[0090] In one implementation, the personalized text includes interactive feedback text, and the first electronic device can set the information displayed by the information display function triggered by interactive behavior in an office application as the interactive feedback text.

[0091] For example, Figure 5A This is a schematic diagram of an interface for synchronizing personalized text in one embodiment. For example... Figure 5A As shown, the first electronic device generates a personalized signature 512 based on the user data of the target user through the first artificial intelligence model. The personal signature in the personal interface 420 of the office application can be set as the personalized signature 512. The target user and other users can see the personalized signature 512 through the target user's personal interface 420.

[0092] For example, such as Figure 5AAs shown, the first electronic device generates an alias 514 based on the user data of the target user through the first artificial intelligence model. The name in the personal interface 420 of the office application can be set as the alias 514. The target user and other users can see the alias 514 through the target user's personal interface 420.

[0093] For example, Figure 5B This is a schematic diagram of an interface for synchronizing personalized text in another embodiment. For example... Figure 5B As shown, the first electronic device generates interactive feedback text 516 based on the target user's user data using a first artificial intelligence model. When the target user's communication partner triggers a target interactive operation, the interactive feedback text 516 can be displayed in the chat interface 320. Optionally, the target interactive operation may include, but is not limited to, clicking the target user's avatar, double-clicking the chat interface 320 with the target user, etc., but is not limited to these.

[0094] In the above-described embodiments, the first electronic device can generate personalized text based on user data, particularly generating personalized signatures, aliases, and / or interactive feedback text related to the target user's office data, and then setting them into the personalized display function of the office application. This not only enhances the fun and interactivity of the office application and allows it to display more personalized information, but also improves the ease of setting and simplifies user operation.

[0095] In some embodiments, the first electronic device can generate a personalized status based on user data using a first artificial intelligence model, and the personalized display function of the office application includes a personal status display function. The first electronic device can set a status label corresponding to this personalized status within the personalized display function of the office application.

[0096] For multiple different personalized states, a status label can be pre-set for each personalized state. This status label can be used to represent the corresponding personalized state. For example, Figure 6A This is a schematic diagram of an interface for synchronizing personalized states in one embodiment. For example... Figure 6A As shown, the first electronic device generates a personalized status based on the target user's user data using a first artificial intelligence model, such as being relatively tired, working overtime lightly, or experiencing traffic congestion. The generated personalized status can be added as a status label 612 on the personal interface 610 of the office application. The target user and other users can see this status label 612 through the target user's personal interface 610.

[0097] For example, Figure 6B This is a schematic diagram of an interface for synchronizing personalized states in one embodiment. For example... Figure 6BAs shown, the first electronic device can generate a second working state based on the target user's user data using a first artificial intelligence model. This second working state describes the target user's current work situation, such as a meeting. The status label 614 corresponding to this second working state can be displayed in the personal interface 420 of the office application. The target user and other users can all see this status label 614 through the target user's personal interface 420.

[0098] In the above embodiments, the first electronic device can generate a personalized status based on user data. Furthermore, it can accurately generate the working status corresponding to the target user and set the status label corresponding to the personalized status in the personalized display function of the office application. This can accurately display the personal characteristics of the target user in the office scenario in the office application, thereby improving the personalization, interactivity and convenience of the office application.

[0099] In some embodiments, the first electronic device can synchronize the generated personalized data to a second electronic device. As one implementation, the personalized data generated by the first electronic device includes a name tag image. The second electronic device includes an electronic name tag, and the name tag image can be transmitted to the electronic name tag via a communication connection between the first electronic device and the electronic name tag. The name tag image is used to display on the electronic name tag's display device (such as a display screen).

[0100] For example, Figure 7 This is a schematic diagram illustrating the synchronization of employee badge images to electronic employee badges in one embodiment. For example... Figure 7 As shown, the first electronic device generates a personalized employee badge image 710 based on the target user's user data using a first artificial intelligence model, and displays it on a first interface 310. The first interface 310 may include a synchronization control 712, which can be triggered by the user. When the first electronic device detects a trigger operation on the synchronization control 712, it can send the employee badge image 710 to the electronic employee badge via a communication connection. The electronic employee badge can then display the employee badge image 710 on a display device.

[0101] Optionally, the communication connection between the first electronic device and the electronic badge may include, but is not limited to, one or more of the following: NFC connection, Bluetooth connection, Wi-Fi connection, and USB wired connection.

[0102] For example, an NFC connection can be established between the first electronic device and the electronic badge, and the first electronic device can send a badge image to the electronic badge via the NFC connection. For example, such as Figure 8As shown, when the first electronic device detects a trigger operation on the synchronization control 712, it can display a prompt interface 810. This prompt interface 810 can display a prompt message 812, which prompts the electronic badge to establish a communication connection with the first electronic device (such as a mobile phone). This better guides the user to synchronize the badge image and improves the user experience.

[0103] In this embodiment, the first electronic device can generate a personalized employee badge image based on user data and synchronize it to the electronic employee badge for display. This makes the information displayed on the electronic employee badge more consistent with the user's personal characteristics in the office setting, improves the diversity and personalization of the information displayed on the electronic employee badge, and enhances the interactivity with the user.

[0104] In some embodiments, the personalized data generated by the first electronic device may further include a personalized operating mode corresponding to an office application. This personalized operating mode may refer to the operating mode of the office application configured according to the actual situation of the target user.

[0105] Optionally, the office application can be preset with multiple operating modes. In different preset operating modes, the corresponding reminder methods of the office application are different. For example, normal mode, meeting mode, do not disturb mode, etc. can be preset. In normal mode, if the office application receives a message (such as a chat message sent by another user to the target user, or a reminder message for office matters, etc.), the first electronic device will play a prompt audio and vibrate. In meeting mode, if the office application receives a message, the first electronic device will not play a prompt audio, but will vibrate. In do not disturb mode, if the office application receives a message, the first electronic device will not play a prompt audio or vibrate.

[0106] After acquiring user data from a target user, the first electronic device can generate a personalized operating mode based on that user data using a first artificial intelligence mode. This personalized operating mode can be set to the operating mode of an office application. This personalized operating mode can be distinguished from the default operating mode of the office application. Under different personalized operating modes, the office application's configured collaborative functions and / or its interface visual presentation will differ.

[0107] The collaborative office functions of office applications refer to features used to assist users in their work, such as automatic approval, form creation, meeting functions, attendance functions, business trip applications, and reporting and summarizing functions. In related technologies, office applications offer multiple collaborative functions, requiring users to search and select the desired function from among them, a cumbersome process. In this embodiment, the first electronic device can generate a personalized operating mode based on user data. This personalized operating mode can be configured with corresponding collaborative office functions. For example, if the target user's office data includes meeting-related tasks, a meeting function can be configured; if the target user's office data includes business trip schedules, a business trip application function can be configured, and so on. By accurately configuring the required collaborative office functions for the target user, the target user does not need to search, simplifying user operations and improving the user experience.

[0108] In related technologies, the visual appearance of office applications remains the same across different preset operating modes. Users need to perform corresponding settings operations through the settings interface to change the visual appearance of the office application. For example, users need to set the background color of the office application in the settings interface to change it, which is a cumbersome operation.

[0109] Optionally, the first electronic device can generate a personalized operating mode based on user data through a first artificial intelligence model. The personalized operating mode may include interface configuration information, which can be used to configure the interface of the office application so that the visual appearance of the office application interface is different under different personalized operating modes.

[0110] The visual presentation of an office application interface may include one or more of the following: the application's interface background (such as background color, background image, etc.), the style of the chat box in the chat interface, the font of the application, the message content of the prompts displayed by the application, and the style of the displayed prompts.

[0111] For example, when the first artificial intelligence model determines that the target user's emotional state is low, the background color of the office application can be configured to orange, the style of the chat box in the chat interface can be configured to a more cute style, and some encouraging text can be displayed through pop-ups, etc., to improve the user's mood.

[0112] For example, if the first artificial intelligence model determines that the target user's work status is heavy overtime, the background color of the office application can be configured to light blue to help the user relax, and some text reminding them to take a break can be displayed through pop-up windows or other means.

[0113] In some embodiments, after the first electronic device generates a personalized operating mode, a preview of the personalized operating mode can be displayed. This preview allows the target user to understand the effect of the personalized operating mode. For example, the preview may include the background color, dialog box style, etc., corresponding to the personalized operating mode. The target user can choose whether to apply the personalized operating mode. If the target user confirms the application, a mode application operation can be triggered (e.g., by clicking an application control). If the first electronic device detects the triggered mode application operation, it can set the operating mode of the office application to the personalized operating mode. This can meet different user needs and improve the user experience.

[0114] Optionally, the personalized operating mode may also include reminder configuration information, which indicates the corresponding reminder method for the office application, such as whether to play a notification audio, whether to vibrate, or whether to display a pop-up window. The reminder method can be set according to the target user's second work state, so that when the target user is in a certain work situation, the office application automatically adjusts to the appropriate reminder method, meeting different user needs and improving the user experience.

[0115] In some embodiments, the first electronic device can also be configured with an effective duration corresponding to the personalized operating mode. The effective duration refers to the duration for which the office application runs in the personalized operating mode. This effective duration can be a pre-set fixed duration, such as 2 hours, 3 hours, 5 hours, 12 hours, etc., or it can be flexibly set by the user according to their needs. Optionally, the effective duration can also be dynamically changed, such as being adaptively adjusted based on user data. For example, if the target user's work status is light overtime, the set effective duration can be shorter; if the target user's work status is light overtime, the set effective duration can be longer. Alternatively, the effective duration can be set according to the target user's work schedule, such as the time of a meeting or business trip, thereby improving the flexibility of the office application running in the personalized operating mode.

[0116] Furthermore, after detecting that the duration of the personalized running mode of the office application has reached the effective duration, the running mode of the office application can be switched back to the first running mode, which can be the running mode that was running before the personalized running mode of the office application.

[0117] In this embodiment of the application, the first electronic device can generate a personalized operating mode corresponding to the office application based on user data through the first artificial intelligence model, flexibly configure the operating mode of the office application, improve the personalization and intelligence of the office application, and improve the user experience.

[0118] like Figure 9 As shown, in some embodiments, a method for generating personalized data is provided, which can be applied to the aforementioned electronic device. This method may include the following steps:

[0119] Step 910: Obtain user data of the target user, including office data from office applications.

[0120] The description of step 920 can be found in the relevant descriptions in the above embodiments, and will not be repeated here.

[0121] Step 920: Obtain the target style of the input, and / or determine the target style based on the user data using a first artificial intelligence model.

[0122] The target style refers to the style of the personalized data generated by the first artificial intelligence model. Different styles of personalized data result in different performance effects. For example, personalized data can be personalized images, and the style of these images can refer to their visual effects and artistic tendencies. For instance, the style of a personalized image can be related to one or more of its color, texture, and art style. For example, the style of a personalized image can be a color scheme such as warm, cool, vibrant, or soft; and / or a texture style such as grainy, wood grain, oil painting texture, or watercolor texture; and / or an art style such as Renaissance, Baroque, Impressionist, pixel art, or anime style.

[0123] For example, personalized data can be personalized text. The style of personalized text can refer to the word choice, sentence structure, and content. For instance, the style of personalized text can be related to one or more of the following: rhetorical devices, language rhythm, and content. For example, the style of personalized text can be ornate (using a variety of rhetorical devices and rich vocabulary), simple (using language close to everyday life without excessive embellishment), humorous (creating a humorous effect through rhetorical devices such as metaphor, hyperbole, and irony), and refreshing (using mostly fresh and bright words, with a light sentence structure and a relaxed rhythm).

[0124] In some embodiments, the first electronic device may display a variety of preset styles, and the target user may select a target style from the variety of preset styles. In response to the triggered selection operation, the first electronic device determines the target style selected by the target user.

[0125] Optionally, the target user can also directly input the desired style through text, voice, or other means. For example, the target user can input "help me generate a comic-style avatar" through voice. The first electronic device can collect the voice audio through a microphone and recognize the voice content of the voice audio to obtain the target style contained in the voice audio.

[0126] In some embodiments, the first electronic device can determine a target style based on user data using a first artificial intelligence model. For example, the first electronic device can input user data into the first artificial intelligence, which can analyze the user data to obtain the personalized state corresponding to the target user, and then determine the target style based on this personalized state. For instance, if the first artificial intelligence determines, based on user data, that the target user's work status is heavy overtime and their emotional state is fatigue, then the target style can be determined to be a warm and healing style, so that the subsequently generated personalized data can help the user relieve stress.

[0127] For example, Figure 10 This is a schematic diagram of an interface where the target style is determined by a first artificial intelligence model in one embodiment. Figure 10 As shown, after the first electronic device determines the target style based on user data using a first artificial intelligence model, it can display the target style on a third interface 1000. This third interface 1000 refers to the interface used to display the target style determined by the first artificial intelligence. The third interface 1000 may include a style display component 1010, in which the target style determined by the first artificial intelligence (e.g., ...) is displayed. Figure 10 The third interface 1000 can display the style tag 1012 corresponding to the target style (such as warm, healing, natural, childlike, etc.). Optionally, the third interface 1000 can also display the analysis information 1020 determined by the first artificial intelligence model for the target style. The analysis information 1020 may include information such as the personalized status determined by the first artificial intelligence model after analyzing the target style. The third interface 1000 can intuitively display information related to the target style determined by the first artificial intelligence model. The target user can intuitively and conveniently obtain information related to the target style determined by the first artificial intelligence model, which improves the interactivity between the user and the model.

[0128] Step 930: Based on the target style, the first artificial intelligence model generates personalized data that matches the target style according to the user data.

[0129] After acquiring the target style, the first electronic device can input the target style and user data into the first artificial intelligence model. The first artificial intelligence model can analyze the user data, extract user features based on the user data, and generate personalized data that matches the target style based on the user features.

[0130] Furthermore, the personalized data may include personalized images and / or personalized text. Taking the generation of a personalized image as an example, the first AI model can extract user features from user data, generate descriptive text based on these user features and a target style, and then generate a personalized image matching the target style based on the descriptive text. Taking the generation of personalized text as an example, the first AI model can extract user features from user data, and can use the target style as a prompt for the first AI model. Based on this prompt, the first AI model generates personalized text matching the target style according to the user features.

[0131] Step 940: Synchronize the personalized data to the personalized display function of the office application, and / or synchronize the personalized data to a second electronic device that has established a communication connection with the first electronic device.

[0132] The description of step 940 can be found in the relevant descriptions in the above embodiments, and will not be repeated here.

[0133] In some embodiments, the first electronic device may acquire user data of a target user at regular intervals of a target time period. The user data may include first user data for the target time period, or the user data may include first user data for the target time period and second user data for one or more historical time periods.

[0134] The first electronic device can periodically and automatically acquire user data of the target user, generate personalized data, and then synchronize the generated personalized data to the personalized display function of the office application, and / or synchronize the personalized data to the second electronic device that has established a communication connection with the first electronic device, thereby periodically changing the personalized data displayed in the personalized display function of the office application, and / or periodically changing the personalized data displayed on the second electronic device.

[0135] As one implementation method, the first electronic device can acquire the target user's first user data for that target time period at regular intervals, and generate personalized data based on that first user data using a first artificial intelligence model. For example, the first electronic device can acquire the target user's first user data for that 24-hour period every 24 hours and generate corresponding personalized data. This allows the generated personalized data to display the target user's personal characteristics in an office setting in real time, improving the effectiveness and accuracy of the personalized data.

[0136] In one implementation, a first electronic device can acquire first user data of a target user during a target time period and second user data from one or more historical time periods at regular intervals. A first artificial intelligence model then analyzes changes in the target user's user data based on this first and second user data, thereby analyzing changes in the target user's personal characteristics and generating personalized data. For example, the first electronic device can acquire first user data of the target user during that 12-hour period and second user data from the previous two 12-hour periods every 12 hours, and generate corresponding personalized data. This allows the generated personalized data to reflect changes in the target user's personal characteristics in an office setting, improving the accuracy of the personalized data.

[0137] In the above embodiments, the first electronic device can periodically and automatically acquire user data of the target user and generate personalized data, thereby periodically changing the personalized data displayed in the personalized display function of the office application, and / or periodically changing the personalized data displayed by the second electronic device, improving the timeliness and effectiveness of the personalized data displayed by the office application and / or the second electronic device, and enhancing intelligence.

[0138] In this embodiment, the first electronic device can acquire the target style input by the user, and / or determine the target style based on the user data through the first artificial intelligence model, and then generate personalized data matching the target style through the first artificial intelligence model. This can generate personalized data of different styles, improve the flexibility of the generated personalized data, and enable the generated personalized data to effectively help users relieve stress in the office scenario, improve office efficiency, and enhance the user experience.

[0139] like Figure 11 As shown, in some embodiments, a method for generating personalized data is provided, which can be applied to the aforementioned electronic device. This method may include the following steps:

[0140] Step 1102: Obtain user data of the target user, including office data from office applications.

[0141] The description of step 1102 can be found in the relevant descriptions in the above embodiments, and will not be repeated here.

[0142] Step 1104: Based on user data, the first artificial intelligence model processes at least one target material to generate personalized data.

[0143] Target material can refer to the material used to generate personalized data, which may include one or more of the following: images, audio, video, and text.

[0144] In some embodiments, the target material may include at least one of the following: material uploaded by the target user, pre-stored material, material generated by the first artificial intelligence model, and material searched by the first artificial intelligence model from a material library.

[0145] For example, the target material may be material uploaded by the target user. The first electronic device may display an upload control, which the target user may trigger to select local material and upload it to the first artificial intelligence model for generating personalized data.

[0146] For example, the target material may be material pre-stored by the first electronic device. The first electronic device may pre-store multiple materials for generating personalized data. When it is necessary to generate personalized data, user data and pre-stored materials can be input together into the first artificial intelligence model to generate personalized data.

[0147] For example, the target material can be material generated by a first artificial intelligence model. The first artificial intelligence model can generate material based on user data, and then process the material based on the user data to obtain personalized data.

[0148] For example, the target material can be material searched by the first artificial intelligence model from a material library. The material library may pre-store multiple materials, and the first artificial intelligence model can select at least one target material from the material library based on user data. Further, the first artificial intelligence model can determine user characteristics based on user data, select target materials from the material library based on these user characteristics, and then process the target material based on the user data to obtain personalized data.

[0149] Optionally, the materials pre-stored in the material library may include materials uploaded by the target user, materials pre-stored by the first electronic device, materials generated by the first artificial intelligence model, and materials searched by the first artificial intelligence model from the Internet.

[0150] For example, Figure 12 This is a schematic diagram of the interface for uploading materials to the material library in one embodiment. For example... Figure 12 As shown, the first electronic device can display a media interface 1200, which may include a media upload component 1210. Users can upload media to the media library by clicking the media upload component 1210 or dragging and dropping media into its area. After the media upload is complete, the media interface 1200 can display the uploaded media 1220, as well as other media in the media library, such as media pre-stored by the system and media originally saved in the library. Employing a first artificial intelligence model to intelligently select target media from the media library can improve the accuracy of target media selection and increase the efficiency of personalized data generation.

[0151] Optionally, users can also select target content from the content library. The first electronic device detects the user's triggered content selection action and, in response, determines at least one target content from the content library, thus meeting different user needs and improving the user experience.

[0152] Optionally, after the first artificial intelligence model generates personalized images and / or personalized text each time, the generated personalized images and / or personalized text can be saved as materials to the material library to enrich the materials in the material library.

[0153] The first artificial intelligence model can edit at least one target material based on user data to generate personalized data such as personalized images and / or personalized text. This editing process may include, but is not limited to, deleting content from the target material, adding content to the target material, or modifying the content of the target material, or one or more of these actions. This is achieved through editing the target material.

[0154] In some embodiments, the first electronic device may also acquire a target style, and the first artificial intelligence model may process at least one target material based on the target style and user data to generate personalized data that matches the target style.

[0155] Step 1106: Synchronize the personalized data to the personalized display function of the office application, and / or synchronize the personalized data to a second electronic device that has established a communication connection with the first electronic device.

[0156] The description of step 1106 can be found in the relevant descriptions in the above embodiments, and will not be repeated here.

[0157] In some embodiments, after generating personalized data, the first electronic device can display the personalized data on a first interface, and the target user can edit the generated personalized data according to actual needs. In response to a triggered editing operation, the first electronic device can edit the personalized data to obtain updated personalized data, and then synchronize the updated personalized data to the personalized display function of the office application, and / or synchronize the updated personalized data to a second electronic device that has established a communication connection with the first electronic device.

[0158] Optionally, personalized data may include personalized images, and editing of personalized images may include, but is not limited to, adjusting the color of personalized images, adding text to personalized images, cropping personalized images, adjusting the resolution of personalized images, etc.

[0159] Optionally, personalized data may include personalized text. Editing the personalized text may include, but is not limited to, adding or deleting content in the personalized text, adjusting the font of the personalized text, adjusting the font size of the personalized text, or one or more of these actions.

[0160] For example, Figure 13 This is a schematic diagram of the first interface in one embodiment. For example... Figure 13 As shown, the first interface 310 can display the generated personalized emoticon pack 314. The first interface 310 may include an editing control 1310, which the target user can click to edit the personalized emoticon pack 314.

[0161] In the above implementation, the target user can edit and process the personalized data generated by the first artificial intelligence model according to actual needs. The first electronic device then synchronizes the updated personalized data to the personalized display function of the office application and / or to the second electronic device, which improves the flexibility of personalized data processing and enhances the user experience.

[0162] In this embodiment of the application, the first electronic device can process at least one target material based on user data through a first artificial intelligence model to generate personalized data, which can improve the accuracy of the generated personalized data.

[0163] In some embodiments, the first electronic device may also add event tags for random events to the personalized data to enhance the interest of the generated personalized data. For example... Figure 14 As shown, the above method also includes the following steps:

[0164] Step 1402: In response to the triggered first operation, generate the target random event.

[0165] Random events refer to events that occur with a certain probability, and the user cannot know in advance what the specific event will be. Random events can be associated with preset virtual resources, which may include, but are not limited to, numerical resources (such as points, virtual currency, etc.), interface resources (such as background images, chat windows, virtual avatars, and virtual cards in office applications, etc.), and interactive resources (such as electronic pets, fortune descriptions, etc.). Furthermore, these preset virtual resources can be virtual resources related to the office scenario; for example, numerical resources can be used to redeem office supplies, and interface and interactive resources can be applied to office applications, etc.

[0166] The first electronic device may display a second interface, which may refer to an interface used to trigger the generation of a random event. A target user may trigger a first operation on the second interface to cause the first electronic device to generate a target random event. If the first electronic device detects the first operation triggered by the target user on the second interface, it can generate the target random event.

[0167] In one implementation, the first electronic device may store multiple preset events. In response to a triggered first operation, the first electronic device randomly selects one preset event from the multiple preset events as the target random event. For example, the first electronic device may pre-store multiple virtual cards. Upon detecting a triggered first operation, it may randomly select one virtual card from the multiple virtual cards based on a preset probability. Using the method of randomly selecting a target random event from multiple preset events simplifies the implementation process and improves processing efficiency.

[0168] In another implementation, in response to a triggered first operation, the first electronic device can generate a target random event based on user data using a second artificial intelligence model. Optionally, this second artificial intelligence model can be a Transformer model, RNN, graph neural network, or multimodal learning model, or a combination of different artificial intelligence models. This second artificial intelligence model can be pre-trained using event descriptions of a large number of random events. When the first electronic device detects the triggered first operation, it can input user data into the second artificial intelligence model. The second artificial intelligence model can analyze the user data, extract user features, and generate the target random event based on these features. For example, it can generate personal fortune telling and personalized suggestions based on these user features. Using a second artificial intelligence model to generate target random events allows for greater diversity and better adaptation to the individual circumstances of the target user, enhancing interest and personalization.

[0169] Step 1404: Display the event information corresponding to the target random event on the second interface. The event information includes the event tag.

[0170] After the first electronic device generates the target random event, the event information corresponding to the target random event can be displayed on the second interface. The event information may include an event label, and the event label corresponding to the target random event can be used to indicate the target random event.

[0171] For example, Figure 15A This is a schematic diagram of the second interface in one embodiment. For example... Figure 15A As shown, the first electronic device generates a target random event and displays the event information corresponding to the target random event on the second interface. This event information may include the virtual resource 1510 associated with the target random event (such as...). Figure 15AThe virtual card shown), and the event label 1520 corresponding to the target random event.

[0172] Step 1406: In response to the triggered second operation, the event tag and personalized data are merged to obtain the merged personalized data.

[0173] The target user can choose whether to merge event tags with personalized data based on actual needs. When the first electronic device detects a second operation triggered by the target user, the second operation can be used to instruct the merging of event tags with personalized data. In response to the triggered second operation, the first electronic device can merge the event tags with personalized data to obtain merged personalized data.

[0174] For example, if the personalized data is a personalized image, event tags can be added to the personalized image to obtain the fused personalized image.

[0175] For example, personalized data is personalized text. The personalized text can be rewritten based on event tags, and event content related to the target random event can be added to the personalized text to obtain the fused personalized text.

[0176] For example, personalized data is a personalized state. Event tags can be added as a new state to the generated personalized state to obtain a merged personalized state, etc.

[0177] The first electronic device can synchronize the merged personalized data to the personalized display function of the office application, and / or to the second electronic device.

[0178] For example, Figure 15B This is a schematic diagram of the first interface in another embodiment. The target user can click... Figure 15A The generation control 1530 in the second interface 1500 triggers the second operation, and the first electronic device merges the event tag 1520 with the generated personalized emoticon pack 314 to obtain the merged personalized emoticon pack 314.

[0179] In this embodiment of the application, by generating a target random event and fusing the event tag corresponding to the target random event with the generated personalized data, the fun of the office application and the interactivity with the user can be improved.

[0180] like Figure 16 As shown, in one embodiment, an electronic work badge 1600 is provided, which includes a transceiver unit 1610 and a display device 1620.

[0181] The transceiver unit 1610 is used to receive a work badge image sent by the first electronic device through a communication connection. The work badge image is generated by the first electronic device based on the user data of the target user through a first artificial intelligence model. The user data includes office data from an office application.

[0182] Display device 1620 is used to display images of employee badges.

[0183] In this embodiment, the first electronic device can generate a personalized employee badge image based on user data and synchronize it to the electronic employee badge for display. This makes the information displayed on the electronic employee badge more consistent with the user's personal characteristics in the office setting, improves the diversity and personalization of the information displayed on the electronic employee badge, and enhances the interactivity with the user.

[0184] like Figure 17 As shown, in some embodiments, a personalized data generation device 1700 is provided, which can be applied to the first electronic device described above. The personalized data generation device 1700 includes a data acquisition module 1710, a generation module 1720, and a synchronization module 1730.

[0185] The data acquisition module 1710 is used to acquire user data of the target user, including office data in office applications.

[0186] The generation module 1720 is used to generate personalized data based on the user data through a first artificial intelligence model. The personalized data includes at least one of personalized image, personalized text, and personalized status.

[0187] The synchronization module 1730 is used to synchronize personalized data to the personalized display function of the office application, and / or to synchronize personalized data to a second electronic device that establishes a communication connection with the first electronic device.

[0188] In some embodiments, the personalized data includes the personalized image; the personalized image includes a personalized emoji pack, the personalized display function includes an emoji pack function, and the synchronization module 1730 is also used to store the personalized emoji pack to the emoji pack database corresponding to the office application.

[0189] And / or, personalized images include personalized profile pictures, personalized display functions include personal profile display functions, and the synchronization module 1730 is also used to set the personal profile in the office application as a personalized profile picture.

[0190] In some embodiments, personalized data includes personalized text; the synchronization module 1730 is also used to set personalized text in the personalized display function corresponding to the personalized text in the office application.

[0191] Personalized text includes one or more of the following: personal signature, alias, and interactive feedback text. Interactive feedback text is the text displayed when the target user's communication partner triggers a target interactive operation.

[0192] Personalized display functions for signatures include personal status display; personalized display functions for aliases include user identity display; and personalized display functions for interactive feedback texts include display of interactive behavior trigger information.

[0193] In some embodiments, personalized data includes the personalized status, and personalized display functions include personal status display functions; the synchronization module 1730 is also used to set status labels corresponding to the personalized status in the personalized display functions of the office application.

[0194] In some embodiments, the personalized image includes a name tag image, and the second electronic device includes an electronic name tag; the synchronization module 1730 is also used to transmit the name tag image to the electronic name tag through a communication connection between the first electronic device and the electronic name tag, and the name tag image is used to display on the display device of the electronic name tag.

[0195] In some embodiments, the data acquisition module 1710 is further configured to acquire user data of the target user from the office application when the office application has acquired authorization information.

[0196] In some embodiments, office data includes one or more of office hours, office schedules, and office tasks; and / or,

[0197] User data also includes one or more of the following: basic personal data, location data, weather data, exercise data, vital sign data, and date type; and / or,

[0198] Personalized status includes one or more of the following: work status, commuting status, health status, and emotional status.

[0199] In some embodiments, the working status includes a first working status and / or a second working status, wherein the first working status is used to indicate the target user's busy work situation, and the second working status is used to indicate the target user's working context.

[0200] In some embodiments, the personalized data generation apparatus 1700 further includes a mode setting module.

[0201] The mode setting module is used to set the operating mode of the office application to a personalized operating mode; in different personalized operating modes, the office collaboration functions configured in the office application are different, and / or the visual appearance of the office application interface is different.

[0202] In some embodiments, the personalized data generation apparatus 1700 further includes a style determination module.

[0203] The style determination module is used to obtain the target style of the input and / or determine the target style based on user data through a first artificial intelligence model.

[0204] The generation module 1720 is also used to generate personalized data that matches the target style based on the target style and user data through the first artificial intelligence model.

[0205] In some embodiments, the data acquisition module 1710 is further configured to acquire user data of a target user at each target time period, wherein the user data includes first user data of the target time period, or the user data includes first user data of the target time period and second user data of one or more historical time periods.

[0206] In some embodiments, the generation module 1720 is further configured to process at least one target material based on the user data using a first artificial intelligence model to generate personalized data;

[0207] The target materials include at least one of the following: materials uploaded by the target user, pre-stored materials, materials generated by the first artificial intelligence model, and materials searched by the first artificial intelligence model from the material library.

[0208] In some embodiments, the personalized data generation apparatus 1700 further includes a material selection module.

[0209] The material selection module is also used to determine at least one target material from the material library in response to a triggered material selection operation; or, through a first artificial intelligence model, to select at least one target material from the material library based on user data.

[0210] In some embodiments, the personalized data generation apparatus 1700 further includes an editing module.

[0211] An editing module is used to display the personalized data on a first interface; in response to a triggered editing operation, the personalized data is edited to obtain updated personalized data.

[0212] In some embodiments, the personalized data generation device 1700 further includes an event generation module, a display module, and a fusion module.

[0213] The event generation module is used to generate a target random event in response to the first triggered operation.

[0214] The display module is used to display the event information corresponding to the target random event in the second interface. The event information includes event tags.

[0215] The fusion module is used to respond to the triggered second operation by fusing the event tag with the personalized data to obtain the fused personalized data.

[0216] In some embodiments, the event generation module is further configured to, in response to the triggered first operation, randomly select a preset event from a plurality of preset events as a target random event; or, in response to the triggered first operation, generate a target random event based on user data through a second artificial intelligence model.

[0217] In this embodiment, the first electronic device can generate personalized data based on the user data of the target user through an artificial intelligence model. Since the user data includes office data in the office application, the generated personalized data can match the actual work situation of the target user. The first electronic device can synchronize the personalized data to the personalized display function of the office application and / or the second electronic device, so that the personalized display function of the office application and / or the second electronic device can display personalized data that matches the actual work situation of the target user, thereby improving the fun and personalization of the office application and related electronic devices (such as electronic name tags), and improving the user's experience of using the office application.

[0218] Figure 18 This is a structural block diagram of an electronic device in one embodiment. For example... Figure 18 As shown, the electronic device 1800 may include one or more of the following components: a processor 1810 and a memory 1820 coupled to the processor 1810, wherein the memory 1820 may store one or more computer programs, which may be configured to implement the methods described in the above embodiments when executed by one or more processors 1810.

[0219] Processor 1810 may include one or more processing cores. Processor 1810 connects to various parts within the electronic device 1800 using various interfaces and lines, and performs various functions and processes data of the electronic device 1800 by running or executing instructions, programs, code sets, or instruction sets stored in memory 1820, and by calling data stored in memory 1820. Optionally, processor 1810 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). Processor 1810 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the displayed content; and the modem handles wireless communication. It is understood that the modem may also not be integrated into processor 1810 and may be implemented separately through a communication chip.

[0220] The memory 1820 may include random access memory (RAM) or read-only memory (ROM). The memory 1820 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1820 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as touch functionality, sound playback functionality, image playback functionality, etc.), and instructions for implementing the various method embodiments described above. The data storage area may also store data created by the electronic device 1800 during use.

[0221] Understandably, the electronic device 1800 may include more or fewer structural elements than those shown in the block diagram above, such as radio frequency modules, power modules, physical buttons, WiFi (Wireless Fidelity) modules, speakers, Bluetooth modules, sensors, etc., and may not be limited herein.

[0222] This application discloses a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the methods described in the above embodiments.

[0223] This application discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program can be executed by a processor to implement the methods described in the above embodiments.

[0224] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, ROM, etc.

[0225] Any references to memory, storage, databases, or other media used herein may include non-volatile and / or volatile memory. Suitable non-volatile memory may include ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which is used as an external cache. By way of illustration and not limitation, RAM may take many forms, such as Static RAM (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus DRAM (RDRAM), and Direct Rambus DRAM (DRDRAM).

[0226] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Those skilled in the art should also recognize that the embodiments described in the specification are optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0227] In the various embodiments of this application, it should be understood that the sequence number of each process does not necessarily imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0228] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they can be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0229] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0230] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0231] The above provides a detailed description of a method, apparatus, electronic device, and program product for generating personalized data according to embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method of generating personalized data, characterized by, Applied to a first electronic device, the method comprises: obtaining user data of a target user, the user data comprising office data in an office application; generating personalized data according to the user data by a first artificial intelligence model, the personalized data comprising at least one of a personalized image, personalized text and a personalized state; synchronizing the personalized data to a personalized display function of the office application, and / or, synchronizing the personalized data to a second electronic device that establishes a communication connection with the first electronic device.

2. The method of claim 1, wherein, The personalized data comprises the personalized image; the personalized image comprises a personalized sticker, and the personalized display function comprises a sticker function; the step of synchronizing the personalized data to the personalized display function of the office application comprises: storing the personalized sticker to a sticker database corresponding to the office application; and / or, The personalized image comprises a personalized image picture, and the personalized display function comprises a personal image display function; the step of synchronizing the personalized data to the personalized display function of the office application comprises: setting a personal image in the office application as the personalized image picture. The personalized data comprises the personalized text; the step of synchronizing the personalized data to the personalized display function of the office application comprises:

3. The method of claim 1, wherein, setting the personalized text in the personalized display function corresponding to the personalized text in the office application; The personalized text comprises one or more of a personalized signature, an alias and an interactive feedback text; the interactive feedback text is a text displayed when a target communication object of the target user triggers a target interactive operation; The personalized signature corresponds to a personal state display function, the alias corresponds to a user identity display function, and the interactive feedback text corresponds to a function of displaying interactive behavior triggering information. The personalized data comprises the personalized state, and the personalized display function comprises a personal state display function; the step of synchronizing the personalized data to the personalized display function of the office application comprises:

4. The method of claim 1, wherein, setting a state label corresponding to the personalized state in the personalized display function of the office application. The personalized image comprises a badge picture, and the second electronic device comprises an electronic badge; the step of synchronizing the personalized data to the second electronic device that establishes a communication connection with the first electronic device comprises:

5. The method of claim 1, wherein, transmitting the badge picture to the electronic badge through the communication connection between the first electronic device and the electronic badge, so that the badge picture is displayed on a display device of the electronic badge. The step of obtaining the user data of the target user comprises:

6. The method of claim 1, wherein, obtaining the user data of the target user from the office application in the case that authorization information is obtained in the office application. The office data comprises one or more of office time, office schedule, office matters, work progress and performance completion degree; and / or, 7. The method of claim 1, wherein, ​ The user data further comprises one or more of personal basic data, positioning data, weather data, motion data, vital sign data, and date type; and / or, The personalized state comprises one or more of a work state, a commuting state, a health state, and an emotional state.

8. The method of claim 7, wherein, The work state comprises a first work state and / or a second work state, the first work state being used to indicate a work busy condition of the target user, and the second work state being used to indicate a work context of the target user.

9. The method of claim 7, wherein, The personalized data further comprises a personalized running mode corresponding to the office application; and the method further comprises: setting a running mode of the office application as the personalized running mode; wherein, in different personalized running modes, office collaboration functions configured by the office application are different, and / or interface visual presentations of the office application are different.

10. The method of claim 1, wherein, Before the generating of the personalized data by the first artificial intelligence model according to the user data, the method further comprises: obtaining an input target style, and / or determining a target style by the first artificial intelligence model according to the user data; The generating of the personalized data by the first artificial intelligence model according to the user data comprises: generating, by the first artificial intelligence model, personalized data matching the target style according to the user data based on the target style.

11. The method of claim 1, wherein, The obtaining of the user data of the target user, the user data comprising office data in the office application, comprises: obtaining the user data of the target user every target time period, the user data comprising first user data of the target time period, or the user data comprising first user data of the target time period and second user data of one or more historical time periods.

12. The method according to any one of claims 1 to 11, characterized in that, The generating of the personalized data by the first artificial intelligence model according to the user data comprises: processing, by the first artificial intelligence model, at least one target material according to the user data to generate the personalized data; The target material comprises at least one of a material uploaded by the target user, a pre-stored material, a material generated by the first artificial intelligence model, and a material searched from a material library by the first artificial intelligence model.

13. The method of claim 12, wherein, Before the processing of the at least one target material by the first artificial intelligence model according to the user data to generate the personalized data, the method further comprises: in response to a triggered material selection operation, determining at least one selected target material from a material library; or selecting, by the first artificial intelligence model, at least one target material from the material library according to the user data.

14. The method according to any one of claims 1 to 11, characterized in that, After the generating of the personalized data, the method further comprises: displaying the personalized data on a first interface; in response to a triggered editing operation, performing editing processing on the personalized data to obtain updated personalized data.

15. The method according to any one of claims 1 to 11, characterized in that, The method further comprises: in response to a triggered first operation, generating a target random event; displaying event information corresponding to the target random event in a second interface, the event information comprising an event label; In response to the triggered second operation, the event label is fused with the personalized data to obtain fused personalized data.

16. The method of claim 15, wherein, The first operation triggered in response generates a target random event, including: The first operation triggered in response randomly selects a preset event from a plurality of preset events as a target random event; or, The first operation triggered in response generates a target random event through a second artificial intelligence model according to the user data.

17. An electronic badge, comprising: The electronic badge establishes a communication connection with the first electronic device, and the electronic badge includes a transceiver unit and a display device, The transceiver unit receives the badge picture sent by the first electronic device through the communication connection, and the badge picture is generated by the first electronic device through a first artificial intelligence model according to the user data of the target user, and the user data includes office data in an office application; The display device displays the badge picture.

18. An apparatus for generating personalized data, the apparatus comprising: The device is applied to a first electronic device, and the device includes: A data acquisition module for acquiring user data of a target user, the user data including office data in an office application; A generation module for generating personalized data through a first artificial intelligence model according to the user data, the personalized data including at least one of a personalized image, personalized text and a personalized state; A synchronization module for synchronizing the personalized data to a personalized display function of the office application, and / or synchronizing the personalized data to a second electronic device that establishes a communication connection with the first electronic device.

19. An electronic device, comprising: The memory stores a computer program, and the computer program is executed by the processor to make the processor implement the method of any one of claims 1-16.

20. A computer program product, characterised in that, The computer program is executed by the processor to implement the method of any one of claims 1-16.

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