CN116431153A - UI component screening method, device, equipment and storage medium - Google Patents
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Abstract
The application discloses a screening method, device and equipment of UI components and a storage medium. In executing the method provided by the embodiment of the application, the user behavior and the current context information can be input into the intention recognition model to recognize the design intention. The corresponding components are matched for design intent, and then transmitted to the client through visual guidance. According to the method and the device, the intention of the designer in the UI authoring process is identified, and the designer is guided to quickly create or select the proper component by matching the design intention with the corresponding component, so that the consistency, accuracy and efficiency of UI design are improved.
Description
Technical Field
The present disclosure relates to the field of UI design technologies, and in particular, to a method, an apparatus, a device, and a storage medium for screening UI components.
Background
The UI design (User Interface Design) refers to a user interface design, which refers to design work of elements such as images, characters, buttons, labels and the like used in the process of providing interaction for users on digital products such as software, computers, mobile phones and the like. The UI design aims to enable the user to operate more conveniently, quickly and intuitively, and can meet the needs and expectations of the user.
Maintaining design consistency is an important and challenging task in UI design processes. Designers typically create and use component libraries to ensure design consistency. However, manually searching for and selecting the appropriate components may reduce the efficiency of the designer and may be prone to error during the quick authoring process. Furthermore, it is difficult for a designer of the initial contact project to be immediately familiar with all component specifications.
Therefore, how to provide a screening method for UI components, that is, automatically identify the authoring intention of a designer in the UI design process, and guide the designer to use the defined component specifications to improve the design efficiency and consistency, is a technical problem that needs to be solved by those skilled in the art.
Disclosure of Invention
Based on the above problems, the present application provides a screening method, apparatus, device and storage medium for UI components, which automatically identify the authoring intention of a designer in the UI design process, and guide the designer to use defined component specifications, so as to improve the design efficiency and consistency. The embodiment of the application discloses the following technical scheme:
a method of screening UI components, the method comprising:
inputting user behavior and current context information into an intent recognition model to recognize a design intent;
matching corresponding components for the design intent;
the corresponding component is transmitted to the client through the visual guidance.
In one possible implementation manner, before the using the intent recognition algorithm to recognize the design intent according to the user behavior and the context information, the method further includes:
monitoring real-time operation records in the UI design process in real time;
and analyzing the real-time operation record so as to obtain the user behavior.
In one possible implementation manner, before the using the intent recognition algorithm to recognize the design intent according to the user behavior and the context information, the method further includes:
acquiring current Master Go file data and a historical operation record;
and analyzing the current MasterGo file data and the historical operation record so as to obtain the current context information.
In one possible implementation, the process of constructing the intent recognition model includes:
acquiring a history operation record and history Master Go file data in the UI design process;
analyzing the historical operation record and the historical MasterGo file data so as to obtain historical context information; analyzing the historical operation record so as to obtain historical user behaviors;
and inputting the historical user behaviors and the historical context information into a depth model for training to obtain the intention recognition model.
In one possible implementation, the method further includes:
obtaining model correction feedback;
and correcting the intention recognition model according to the model correction feedback.
A screening apparatus for UI components, the apparatus comprising:
the identification unit is used for inputting the user behaviors and the current context information into the intention identification model to identify the design intention;
a matching unit for matching the corresponding components for the design intent;
and the transmission unit is used for transmitting the corresponding components to the client through visual guidance.
In one possible implementation, the apparatus further includes:
the real-time monitoring unit is used for monitoring real-time operation records in the UI design process in real time;
and the first analysis unit is used for analyzing the real-time operation record and recording the real-time operation record so as to obtain the user behavior.
In one possible implementation, the apparatus further includes:
the first acquisition unit is used for acquiring current MasterGo file data and historical operation records;
and the second analysis unit is used for analyzing the current MasterGo file data and the historical operation record so as to obtain the current context information.
An electronic device, comprising: the screening method of the UI component comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the screening method of the UI component when executing the computer program.
A computer readable storage medium having instructions stored therein which, when executed on a terminal device, cause the terminal device to perform a method of screening UI components as described above.
Compared with the prior art, the application has the following beneficial effects: the application discloses a screening method, device and equipment of UI components and a storage medium. Specifically, when the screening method of the UI component provided by the embodiment of the application is executed, first, the user behavior and the current context information may be acquired and input into the intent recognition model to recognize the design intent. The corresponding components are then matched for the design intent. And transmitting the corresponding components to the client through visual guidance. According to the method and the device, the intention of the designer in the UI authoring process is identified, and the designer is guided to quickly create or select the proper component by matching the design intention with the corresponding component, so that the consistency, accuracy and efficiency of UI design are improved.
Drawings
In order to more clearly illustrate the present embodiments or the technical solutions in the prior art, the drawings that are required for the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a screening method of UI components provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a screening device of a UI component according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In order to facilitate understanding of the technical solutions provided in the embodiments of the present application, the following description will first explain the background technology related to the embodiments of the present application.
The UI design refers to a user interface design, which refers to design work of elements such as images, characters, buttons, labels and the like used in the process of providing interaction for users on digital products such as software, computers, mobile phones and the like. The UI design aims to enable the user to operate more conveniently, quickly and intuitively, and can meet the needs and expectations of the user. In the UI design, the user interaction mode, visual feeling, response speed and other factors need to be considered, so that an optimal user interface design scheme is made. Common UI design software includes Sketch, photoshop, masterGo, etc.
Maintaining design consistency is an important and challenging task in UI design processes. Designers typically create and use component libraries to ensure design consistency. However, manually searching for and selecting the appropriate components may reduce the efficiency of the designer and may be prone to error during the quick authoring process. Furthermore, it is difficult for a designer of the initial contact project to be immediately familiar with all component specifications.
In order to solve the problem, the embodiment of the application provides a screening method, a screening device, screening equipment and a storage medium of a UI component, wherein user behaviors and current context information are input into an intention recognition model to recognize design intention. The corresponding components are then matched for the design intent. Finally, the corresponding component is transmitted to the client through the visual guidance. According to the method and the device, the intention of the designer in the UI authoring process is identified, and the designer is guided to quickly create or select the proper component by matching the design intention with the corresponding component, so that the consistency, accuracy and efficiency of UI design are improved.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, the flowchart of a screening method of a UI component according to an embodiment of the present application, as shown in fig. 1, the screening method of the UI component may include steps S101 to S103:
s101: the design intent is identified by inputting user behavior and current context information into an intent identification model.
To enable screening of UI components, the screening system of the UI component first needs to input user behavior and current context information into an intent recognition model to recognize design intent. The intent recognition model is capable of analyzing operations and inputs (e.g., clicking, dragging, drawing, etc.) of the designer, as well as contextual information associated therewith, in real-time, to accurately recognize the designer's intent during the UI authoring process, such as making a button assembly of a particular state.
In one possible implementation, before the user behavior and the current context information are input into the intent recognition model to recognize the design intent, the method further includes A1-A2:
a1: real-time operation records in the UI design process are monitored in real time.
To obtain user behavior, the screening system of the UI component first needs to monitor real-time operation records in the UI design process in real time.
In one possible implementation, real-time operational records during UI design may be monitored by way of log files in the design tool, commit records in the version control system, and the like.
A2: and analyzing the real-time operation record so as to obtain the user behavior.
After monitoring the real-time operational records in the UI design process, the screening system of the UI component may then analyze the real-time operational records to obtain user behavior.
In one possible implementation, before said analyzing said real-time operation record, thereby obtaining said user behavior, the method further comprises:
the operation records are parsed into data structures (e.g., time stamps, operation types, operation parameters, etc.) that are easy to process, and the data structures are analyzed for the user behavior.
In one possible implementation, the user behavior may be obtained by: (1) User operation records are collected, including clicking, inputting and other operations, and recorded. (2) And processing the operation records, classifying the same operations into one type, and counting the occurrence times of each operation. (3) Based on the number of occurrences and the time series of the operation, the main behavior of the user, such as browsing, searching, purchasing, etc., and the frequency and duration of the different behaviors are analyzed. (4) Responsive to user behavior, such as recommending related items, providing search suggestions, etc., to enhance user experience and increase conversion rate. When collecting user operation records, privacy protection principles must be complied with, and personal information and privacy of users are protected. Meanwhile, for sensitive information, desensitization treatment is needed, and analysis is performed on the premise of ensuring data safety.
In one possible implementation, before the user behavior and the current context information are input into the intent recognition model to recognize the design intent, the method further includes B1-B2:
b1: and acquiring current MasterGo file data and a historical operation record.
To obtain current context information, the screening system of the UI component first needs to obtain current MasterGo file data and a history operation record.
B2: and analyzing the current MasterGo file data and the historical operation record so as to obtain the current context information.
After monitoring the current MasterGo file data and the historical operation record in the UI design process, the screening system of the UI component may analyze the current MasterGo file data and the historical operation record to obtain the current context information.
In one possible implementation, the process of constructing the intent recognition model includes C1-C3:
c1: and acquiring a history operation record and history MasterGo file data in the UI design process.
To build the intent recognition model, the screening system of the UI component first needs to obtain the historical operating records and historical MasterGo file data in the UI design process.
C2: analyzing the historical operation record and the historical MasterGo file data so as to obtain historical context information; and analyzing the historical operation record so as to obtain historical user behaviors.
After the historical operation record and the historical MasterGo file data are obtained, the screening system of the UI component may analyze the historical operation record and the historical MasterGo file data to obtain historical context information and historical user behavior.
And C3: and inputting the historical user behaviors and the historical context information into a depth model for training to obtain the intention recognition model.
After obtaining the historical user behavior and the historical context information, the screening system of the UI component may then input the historical user behavior and the historical context information into the depth model for training to obtain the intent recognition model.
In one possible implementation, the depth model may be, but is not limited to, a model of a decision tree, a support vector machine, a neural network, or the like. The design intent of the predictive designer can be used as a depth model for the application, provided that the user behavior and context information can be modeled. The depth model can be trained and optimized according to a large amount of historical data to improve recognition accuracy.
In one possible implementation, the method further comprises D1-D2:
d1: and obtaining model correction feedback.
The screening system of the UI component allows the designer to feedback on the intent recognition results, thereby confirming or correcting the design intent. These corrected feedback information can be used to further optimize the algorithm, improving recognition accuracy and practicality.
D2: and correcting the intention recognition model according to the model correction feedback.
After the model correction feedback is obtained, the screening system of the UI component can identify the model according to the model correction feedback correction intention so as to improve the performance and accuracy of the model.
S102: the corresponding components are matched for the design intent.
After identifying the designer's design intent, the screening of UI components may then match the corresponding design components for the design intent.
S103: the corresponding component is transmitted to the client through the visual guidance.
After obtaining the corresponding components that are matched for design intent, the screening system of the UI components may then transmit the corresponding components to the client through visual guidance techniques.
The guiding mode of the visual guiding includes but is not limited to prompt, suggestion, highlighting and the like, so that a designer can quickly understand and adopt the component specification, and the designer can directly drag and drop the matched component onto a design canvas or modify the existing design element according to the prompt to enable the matched component to meet the component specification.
Based on the content of S101-S103, first, user behavior and current context information are input into the intention recognition model to recognize a design intention. The corresponding components are then matched for design intent. The corresponding component is then transmitted to the client through the visual guide. According to the method and the device, the intention of the designer in the UI authoring process is identified, and the designer is guided to quickly create or select the proper component by matching the design intention with the corresponding component, so that the consistency, accuracy and efficiency of UI design are improved.
The above provides some specific implementations of the UI component screening method for the embodiments of the present application, and based on this, the present application further provides a corresponding screening device for UI components. The apparatus provided in the embodiments of the present application will be described from the viewpoint of functional modularization.
Referring to fig. 2, the structure of a screening device for UI components according to an embodiment of the present application is shown. As shown in fig. 2, the screening apparatus of the UI component includes:
an identification unit 201 for inputting user behavior and current context information into an intention recognition model to recognize a design intention;
a matching unit 202 for matching the respective components for the design intent;
and the transmission unit 203 is used for transmitting the corresponding components to the client through visual guidance.
The guiding mode of the visual guiding includes but is not limited to prompt, suggestion, highlighting and the like, so that a designer can quickly understand and adopt the component specification, and the designer can directly drag and drop the matched component onto a design canvas or modify the existing design element according to the prompt to enable the matched component to meet the component specification.
In one possible implementation, the apparatus further includes:
and the real-time monitoring unit is used for monitoring the real-time operation record in the UI design process in real time.
In one possible implementation, real-time operational records during UI design may be monitored by way of log files in the design tool, commit records in the version control system, and the like.
And the first analysis unit is used for analyzing the real-time operation record and recording the real-time operation record so as to obtain the user behavior.
In one possible implementation, the apparatus further includes:
and the analysis unit is used for analyzing the operation record into a data structure which is easy to process, so that the data structure is analyzed to obtain the user behavior.
Wherein the data structure may be, but is not limited to, a time stamp, an operation type, an operation parameter, and the like.
In one possible implementation, the user behavior may be obtained by: (1) User operation records are collected, including clicking, inputting and other operations, and recorded. (2) And processing the operation records, classifying the same operations into one type, and counting the occurrence times of each operation. (3) Based on the number of occurrences and the time series of the operation, the main behavior of the user, such as browsing, searching, purchasing, etc., and the frequency and duration of the different behaviors are analyzed. (4) Responsive to user behavior, such as recommending related items, providing search suggestions, etc., to enhance user experience and increase conversion rate. When collecting user operation records, privacy protection principles must be complied with, and personal information and privacy of users are protected. Meanwhile, for sensitive information, desensitization treatment is needed, and analysis is performed on the premise of ensuring data safety.
In one possible implementation, the apparatus further includes:
the first acquisition unit is used for acquiring the current MasterGo file data and the historical operation record.
And the second analysis unit is used for analyzing the current MasterGo file data and the historical operation record so as to obtain the current context information.
In one possible implementation, the apparatus further includes:
and the second acquisition unit is used for acquiring the history operation record and the history MasterGo file data in the UI design process.
The third analysis unit is used for analyzing the historical operation record and the historical MasterGo file data so as to obtain historical context information; and analyzing the historical operation record so as to obtain historical user behaviors.
And the input unit is used for inputting the historical user behaviors and the historical context information into a depth model for training to obtain the intention recognition model.
In one possible implementation, the depth model may be, but is not limited to, a model of a decision tree, a support vector machine, a neural network, or the like. The design intent of the predictive designer can be used as a depth model for the application, provided that the user behavior and context information can be modeled. The depth model can be trained and optimized according to a large amount of historical data to improve recognition accuracy.
In one possible implementation, the apparatus further includes:
the third acquisition unit is used for acquiring model correction feedback;
and the correction unit is used for correcting the intention recognition model according to the model correction feedback.
In addition, the embodiment of the application also provides a screening device of the UI component, which comprises a memory and a processor, wherein the memory is used for storing programs or codes, and the processor is used for running the programs or codes stored in the memory so as to realize the screening method of the UI component.
In addition, the embodiment of the application also provides a computer readable storage medium, which is characterized in that the computer readable storage medium stores codes, and when the codes are executed, a device for executing the codes realizes the screening method of the UI components.
The embodiment of the application provides a screening apparatus of UI components, after the recognition unit 201 inputs user behavior and current context information into the intent recognition model to recognize a design intent, the matching unit 202 matches the corresponding components for the design intent. The transmission unit 203 then transmits the corresponding components to the client through the visual guidance. According to the method and the device, the intention of the designer in the UI authoring process is identified, and the designer is guided to quickly create or select the proper component by matching the design intention with the corresponding component, so that the consistency, accuracy and efficiency of UI design are improved.
The above describes in detail a method, a device, equipment and a storage medium for screening UI components provided in the present application. In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section. It should be noted that it would be obvious to those skilled in the art that various improvements and modifications can be made to the present application without departing from the principles of the present application, and such improvements and modifications fall within the scope of the claims of the present application.
It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for screening UI components, the method comprising:
inputting user behavior and current context information into an intent recognition model to recognize a design intent;
matching corresponding components for the design intent;
the corresponding component is transmitted to the client through the visual guidance.
2. The method of claim 1, wherein the entering of user behavior and current context information into the intent recognition model prior to recognition of the design intent further comprises:
monitoring real-time operation records in the UI design process in real time;
and analyzing the real-time operation record so as to obtain the user behavior.
3. The method of claim 1, wherein the entering of user behavior and current context information into the intent recognition model prior to recognition of the design intent further comprises:
acquiring current Master Go file data and a historical operation record;
and analyzing the current MasterGo file data and the historical operation record so as to obtain the current context information.
4. The method of claim 1, wherein the process of constructing the intent recognition model comprises:
acquiring a history operation record and history Master Go file data in the UI design process;
analyzing the historical operation record and the historical MasterGo file data so as to obtain historical context information; analyzing the historical operation record so as to obtain historical user behaviors;
and inputting the historical user behaviors and the historical context information into a depth model for training to obtain the intention recognition model.
5. The method according to claim 1, wherein the method further comprises:
obtaining model correction feedback;
and correcting the intention recognition model according to the model correction feedback.
6. A screening apparatus for UI components, the apparatus comprising:
the identification unit is used for inputting the user behaviors and the current context information into the intention identification model to identify the design intention;
a matching unit for matching the corresponding components for the design intent;
and the transmission unit is used for transmitting the corresponding components to the client through visual guidance.
7. The apparatus of claim 6, wherein the apparatus further comprises:
the real-time monitoring unit is used for monitoring real-time operation records in the UI design process in real time;
and the first analysis unit is used for analyzing the real-time operation record and recording the real-time operation record so as to obtain the user behavior.
8. The apparatus of claim 6, wherein the apparatus further comprises:
the first acquisition unit is used for acquiring current MasterGo file data and historical operation records;
and the second analysis unit is used for analyzing the current MasterGo file data and the historical operation record so as to obtain the current context information.
9. An electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, when executing the computer program, implementing a screening method of UI components as claimed in any one of claims 1-5.
10. A computer readable storage medium having instructions stored therein which, when executed on a terminal device, cause the terminal device to perform a method of screening UI components according to any one of claims 1-5.
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