Ai-model-based personalized user interface design system and method

Abstract

Disclosed in the present invention is an AI-model-based personalized user interface design system, comprising: a capture module, which captures key nodes, key data blocks and state information of service function modules; an identification module, which marks a role, job title and involved approval nodes of each user in a ship management system, and matches marked information with data of the service function modules; a maritime regulation module, which performs reminding and determination on post requirements of the user; and an AI analysis module, which checks the captured information with content of the post requirements in the maritime regulation module, sends a supplementary reminder message to the user after receiving prompt information, performs analysis in view of historical operation records of the user and historical operation records of users at the same post on a platform, and sorts the service function modules according to the post requirements and work habits of the user, so as to obtain a personalized interface. The personalized interface which is output by the system is a personalized office interface that is output via an AI model and is completely based on data such as post requirements and work habits of users.

Description

A Personalized User Interface Design System and Method Based on AI Models Technical Field

[0001] This invention relates to the field of user interface design technology, and more specifically to a personalized user interface design system and method based on an AI model. Background Technology

[0002] With increasingly stringent maritime regulations and more refined corporate management, ship management systems are becoming more complex and feature-rich, leading to the following issues:

[0003] Too many system functions and menus increase the workload of enterprise online training, increase the difficulty of enterprise online implementation, and affect the digitalization process.

[0004] Everyone's operating system needs are different, and the system cannot cater to all of them. This results in a monotonous system page design that fails to meet everyone's personalized requirements. Most of the content is irrelevant to individual users, causing information overload and further increasing the difficulty of learning the system.

[0005] The system cannot cater to individual needs, resulting in some key tasks not being highlighted, restricting the priority of users' work, and affecting enterprise management efficiency.

[0006] In response to the large amount of content and complex functions of ship management systems, existing ship management systems have made some attempts, but they generally suffer from the following problems and difficulties:

[0007] Some ship management systems have some custom configuration functions, such as user-defined menus and custom statistical charts, but the scope of these customizations is limited, only meeting a few specific needs and failing to meet all the user's daily office needs.

[0008] Some ship management systems are broadly categorized into several types based on user groups, such as shore-based, ship-based, and shipowner-based systems. User interfaces suitable for these categories are then developed. However, under this classification method, the pages for each category are still relatively complex and cannot meet personalized needs, making it relatively difficult for enterprises to go live.

[0009] Each enterprise user has different responsibilities and work priorities. Existing technologies only operate on the basis of menu customization, chart customization, etc. In essence, they still present all the business functions of the system to the customer for configuration, which cannot fully meet the personalized needs of enterprise users. Summary of the Invention

[0010] To address the shortcomings of existing technologies, this invention provides a personalized user interface design system and method based on an AI model, thereby resolving the technical problems existing in the prior art.

[0011] In a first aspect, the present invention provides a personalized user interface design system based on an AI model, comprising: a capture module, a positioning module, a maritime regulations module, an AI analysis module, and a personalized user interface;

[0012] The capture module is used to decompose the business function modules of the ship management system into operational and database components, and to capture the key nodes, key data blocks and status information of the business function modules.

[0013] The positioning module is used to mark each user's role, position, and approval nodes in the ship management system to obtain marking information, and to match the marking information with the data of the business function module to obtain the matching result, and then transmit the matching result to the capture module.

[0014] The maritime regulations module is used to remind and judge the user's job requirements. When it finds that the information captured by the capture module is inconsistent or insufficient, it will send the prompt information to the AI ​​analysis module.

[0015] The AI ​​analysis module will compare the information captured by the capture module with the job requirements in the maritime regulations module, and classify and summarize it according to user, position, operation, data type and status. After receiving the prompt information sent by the maritime regulations module, it will send a supplementary reminder message to the user, and analyze it in combination with the user's historical operation records and the historical operation records of users in the same position on the platform. The business function modules will be sorted according to the user's job requirements and work habits to obtain a personalized interface.

[0016] The personalized user interface outputs the personalized interface obtained by the AI ​​analysis module.

[0017] Secondly, an embodiment of the present invention provides a personalized user interface design method based on an AI model, comprising the following steps:

[0018] The business function modules of the ship management system are decomposed into operational and database components to capture key nodes, key data blocks and status information of the business function modules.

[0019] Each user's role, position, and approval nodes in the ship management system are marked to obtain marking information. The marking information is then matched with the data of the business function modules to obtain matching results, which are then transmitted to the capture module.

[0020] The system provides reminders and assessments regarding user job requirements, and sends alerts to the AI ​​analysis module when it detects discrepancies or insufficiency in the captured information.

[0021] The captured information is compared with the job requirements in the maritime regulations module, and then classified and summarized according to user, position, operation, data type and status. After receiving the prompt information sent by the maritime regulations module, a supplementary reminder message is sent to the user. The user's historical operation records and the historical operation records of users in the same position on the platform are analyzed. The business function modules are sorted according to the user's job requirements and work habits to obtain a personalized interface.

[0022] Output a personalized interface.

[0023] The beneficial effects of this invention are:

[0024] This invention provides a personalized user interface design system based on an AI model, eliminating the need to develop a custom interface for each user and reducing R&D costs. This personalized interface is based on an AI model, extracting data from various business function modules by matching them to the user's job responsibilities, and then pushing the interface based on the user's operating habits. Compared to market-based methods of configuring custom interfaces for users, this invention's personalized configuration is more thorough and flexible. The personalized interface also incorporates voice and motion models, analyzing the user's key voice and actions to retrieve information from the corresponding system capture modules, achieving a more human-centered human-computer interaction. Users no longer need to see cumbersome function menus and complex interfaces, significantly reducing the system's operational difficulty and training costs.

[0025] The AI-based personalized user interface design method and AI-based personalized user interface design system provided in this invention are based on the same inventive concept and have the same beneficial effects. Attached Figure Description

[0026] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0027] Figure 1 shows a structural block diagram of a personalized user interface design system based on an AI model provided in the first embodiment of the present invention;

[0028] Figure 2 shows a flowchart of a personalized user interface design method based on an AI model provided by another embodiment of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0031] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0032] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0033] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if [described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [described condition or event] is detected," or "in response to detection of [described condition or event]."

[0034] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0035] Figure 1 shows a structural block diagram of a personalized user interface design system based on an AI model provided in the first embodiment of the present invention. In specific implementation, the personalized user interface design system based on an AI model provided in this embodiment of the present invention can be presented in the form of software client, mobile APP, website, mini program, etc. The system comprises the following modules: a capture module, a positioning module, a maritime regulations module, an AI analysis module, and a personalized user interface. The capture module decomposes the business function modules of the ship management system into operational and database components, capturing key nodes, key data blocks, and status information. The positioning module marks each user's role, position, and participating approval nodes within the ship management system, matching the marked information with the data from the business function modules to obtain matching results, which are then transmitted to the capture module. The maritime regulations module provides reminders and judgments regarding user job requirements; when the capture module detects discrepancies or insufficiency in the captured information, it sends a prompt to the AI ​​analysis module. The AI ​​analysis module verifies the information captured by the capture module against the job requirements in the maritime regulations module, categorizing and summarizing the information by user, position, operation, data type, and status. Upon receiving a prompt from the maritime regulations module, it sends a supplementary reminder message to the user and analyzes the user's historical operation records and those of other users in the same position on the platform. It then sorts the business function modules according to the user's job requirements and work habits to obtain a personalized interface. The personalized user interface outputs the personalized interface obtained by the AI ​​analysis module.

[0036] Specifically, the capture module decomposes the various business function modules of the existing ship management system into operational and database components, extracting and storing the key nodes, key data blocks, and statuses of each business function module. Operations include "query," "create," "execute," "approval," "learning," and "statistics," etc.; data blocks include specific data for each business function, such as spare parts for a certain equipment, ship materials for a certain vessel, and maintenance projects for a certain equipment; statuses include pending submission, pending execution, and pending approval.

[0037] The location module marks each user's role, position, and approval nodes involved in the system. The location module then matches these user tags against data from various business function modules to obtain matching results, which are then transmitted to the capture module.

[0038] The maritime regulations module reminds and judges users of their job requirements. If the information captured by the module is inconsistent or insufficient, this information will be reminded to the AI ​​analysis module to remind users which content settings are inconsistent or incomplete and need to be supplemented.

[0039] The AI ​​analysis module uses an AI analysis model to compare the information captured by the capture module with the job requirements in the maritime regulations module. It categorizes and summarizes the information according to user, position, operation, data type, and status. The captured information is, for example, "user" + "position" + "operation" + "data element" + "status". The AI ​​analysis module receives prompts from the maritime regulations module. After obtaining the above information, the AI ​​analysis module further analyzes it in conjunction with the user's historical operation records and the historical operation records of users in the same position shared on the platform. Finally, it sorts the data according to the user's job requirements and work habits and outputs it to the personalized user interface.

[0040] In another embodiment of the invention, the system further includes a reminder module, a voice interaction module, and a motion interaction module. The reminder module can be linked to the user's clock-in / out function, pushing personal work information to the user's personalized user interface at fixed times after the user starts work, before leaving get off work, and during work hours to remind the user to complete their work. The voice interaction module is used to acquire voice commands sent by the user and perform human-computer interaction based on the voice commands to complete the corresponding work tasks. The motion interaction module is used to acquire action commands sent by the user and perform human-computer interaction based on the action commands to complete the corresponding work tasks.

[0041] When the system's personalized user interface receives user office information from the AI ​​analysis module, the user can initiate human-computer interaction through the voice interaction module and the action interaction module to complete the predetermined office tasks.

[0042] Users can interact with the system through terminal devices, including computers, mobile phones, and robots. These devices can capture the user's voice or gesture information through microphones or cameras, input the interaction information into the system for judgment, and then execute the corresponding operation after obtaining specific instructions. After the reminder module is configured, the system will also use voice broadcasts to announce the user's current work tasks and remind the user to perform operations at fixed times during work hours, such as when the user clocks in and out.

[0043] This invention provides a personalized user interface design system based on an AI model. It is based entirely on data such as user job requirements and work habits, and outputs a personalized office interface through an AI model. This office interface includes the business needs that the user needs to handle, such as querying, creating, executing, approving, learning, and statistics. The user can interact with the system through voice or gestures.

[0044] This invention provides a personalized user interface design system based on an AI model, eliminating the need to develop a custom interface for each user and reducing R&D costs. This personalized interface is based on an AI model, extracting data from various business function modules by matching them to the user's job responsibilities, and then pushing the interface based on the user's operating habits. Compared to market-based methods of configuring custom interfaces for users, this invention's personalized configuration is more thorough and flexible. The personalized interface also incorporates voice and motion models, analyzing the user's key voice and actions to retrieve information from the corresponding system capture modules, achieving a more human-centered human-computer interaction. Users no longer need to see cumbersome function menus and complex interfaces, significantly reducing the system's operational difficulty and training costs.

[0045] In the first embodiment described above, a personalized user interface design system based on an AI model is provided. Correspondingly, this application also provides a personalized user interface design method based on an AI model. Please refer to Figure 2, which is a flowchart of a personalized user interface design method based on an AI model provided in the second embodiment of the present invention. Since the method embodiment is basically similar to the device embodiment, it is described simply, and relevant parts can be referred to in the description of the device embodiment. The method embodiment described below is merely illustrative.

[0046] Figure 2 shows a flowchart of a personalized user interface design method based on an AI model according to another embodiment of the present invention. This method is applicable to the personalized user interface design system based on an AI model described in the first embodiment above, and includes the following steps:

[0047] S1: Decompose the business function modules of the ship management system into operation and database, and capture the key nodes, key data blocks and status information of the business function modules. The operation includes query, creation, execution, approval, learning and statistics. The data block includes the specific data of the business function. The status includes pending submission, pending execution and pending approval.

[0048] S2: Mark each user's role, position, and approval nodes in the ship management system to obtain marking information, match the marking information with the data of the business function modules to obtain matching results, and transmit the matching results to the capture module;

[0049] S3: Remind and judge the user's job requirements, and send the prompt message to the AI ​​analysis module when the captured information is inconsistent or insufficient;

[0050] S4: Verify the captured information against the job requirements in the Maritime Regulations module, and classify and summarize it according to user, position, operation, data type and status. After receiving the prompt information sent by the Maritime Regulations module, send a supplementary reminder message to the user, and analyze it in combination with the user's historical operation records and the historical operation records of users in the same position on the platform. Sort the business function modules according to the user's job requirements and work habits to obtain a personalized interface.

[0051] S5: Output a personalized interface.

[0052] In this embodiment of the invention, the method further includes: pushing personal office information to the user through a personalized user interface at clock-in and clock-out points, as well as at set times during the workday, to remind the user to do their work.

[0053] In this embodiment of the invention, the method further includes: acquiring voice commands sent by the user, performing human-computer interaction based on the voice commands, and completing the corresponding office information.

[0054] In this embodiment of the invention, the method further includes: obtaining action instructions sent by the user, performing human-computer interaction based on the action instructions, and completing the corresponding office information.

[0055] The above is an embodiment description of a personalized user interface design method based on an AI model provided in the second embodiment of the present invention.

[0056] The AI-based personalized user interface design method and AI-based personalized user interface design system provided in this embodiment of the invention are based on the same inventive concept and have the same beneficial effects, and will not be described again here.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A personalized user interface design system based on an AI model, characterized in that, include: Capture module, positioning module, maritime regulations module, AI analysis module, and personalized user interface; The capture module is used to decompose the business function modules of the ship management system into operational and database components, and to capture the key nodes, key data blocks and status information of the business function modules. The positioning module is used to mark each user's role, position, and approval nodes in the ship management system to obtain marking information, and to match the marking information with the data of the business function module to obtain the matching result, and then transmit the matching result to the capture module. The maritime regulations module is used to remind and judge the user's job requirements. When it finds that the information captured by the capture module is inconsistent or insufficient, it will send the prompt information to the AI ​​analysis module. The AI ​​analysis module will compare the information captured by the capture module with the job requirements in the maritime regulations module, and classify and summarize it according to user, position, operation, data type and status. After receiving the prompt information sent by the maritime regulations module, it will send a supplementary reminder message to the user, and analyze it in combination with the user's historical operation records and the historical operation records of users in the same position on the platform. The business function modules will be sorted according to the user's job requirements and work habits to obtain a personalized interface. The personalized user interface outputs the personalized interface obtained by the AI ​​analysis module.

2. The personalized user interface design system based on an AI model as described in claim 1, characterized in that, It also includes a reminder module, which is used to push personal work information to users through a personalized user interface at clock-in and clock-out points, as well as at set times during work hours, to remind users to do their work.

3. The personalized user interface design system based on an AI model as described in claim 2, characterized in that, It also includes a voice interaction module, which is used to acquire voice commands sent by the user, perform human-computer interaction based on the voice commands, and complete the corresponding office information.

4. The personalized user interface design system based on an AI model as described in claim 3, characterized in that, It also includes an action interaction module, which is used to obtain action commands sent by the user, perform human-computer interaction based on the action commands, and complete the corresponding office information.

5. The personalized user interface design system based on an AI model as described in claim 1, characterized in that, The operations include querying, creating, executing, approving, learning, and statistics. The data blocks include specific data for business functions. The statuses include pending submission, pending execution, and pending approval.

6. A personalized user interface design method based on an AI model, characterized in that, The system applicable to any one of claims 1 to 5 includes the following steps: The business function modules of the ship management system are decomposed into operational and database components to capture key nodes, key data blocks and status information of the business function modules. Each user's role, position, and approval nodes in the ship management system are marked to obtain marking information. The marking information is then matched with the data of the business function modules to obtain matching results, which are then transmitted to the capture module. The system provides reminders and assessments regarding user job requirements, and sends alerts to the AI ​​analysis module when it detects discrepancies or insufficiency in the captured information. The captured information is compared with the job requirements in the maritime regulations module, and then classified and summarized according to user, position, operation, data type and status. After receiving the prompt information sent by the maritime regulations module, a supplementary reminder message is sent to the user. The user's historical operation records and the historical operation records of users in the same position on the platform are analyzed. The business function modules are sorted according to the user's job requirements and work habits to obtain a personalized interface. Output a personalized interface.

7. The personalized user interface design method based on an AI model as described in claim 6, characterized in that, Also includes: At user clock-in and clock-out times, and at set times during work hours, personalized user interface pushes personal work information to remind users to complete their work.

8. The personalized user interface design method based on an AI model as described in claim 7, characterized in that, Also includes: It can obtain voice commands sent by users, perform human-computer interaction based on voice commands, and complete the corresponding office tasks.

9. The personalized user interface design method based on an AI model as described in claim 8, characterized in that, Also includes: It obtains action commands sent by users, performs human-computer interaction based on the action commands, and completes the corresponding office tasks.

10. The personalized user interface design method based on an AI model as described in claim 6, characterized in that, The operations include querying, creating, executing, approving, learning, and statistics. The data blocks include specific data for business functions. The statuses include pending submission, pending execution, and pending approval.

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