CN112395174A - Data processing method and device, equipment and storage medium - Google Patents
Data processing method and device, equipment and storage medium Download PDFInfo
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- CN112395174A CN112395174A CN201910754796.2A CN201910754796A CN112395174A CN 112395174 A CN112395174 A CN 112395174A CN 201910754796 A CN201910754796 A CN 201910754796A CN 112395174 A CN112395174 A CN 112395174A
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- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
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- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
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Abstract
The embodiment of the application discloses a data processing method, a data processing device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a first data set acquired in the process of operating an interactive interface by a user; obtaining a second data set of the user evaluation interactive interface; evaluating the interactive interface according to the first data set and the second data set to obtain an evaluation result; outputting the evaluation result; therefore, a relatively accurate evaluation result can be obtained, so that the interactive interface can be further optimized, and the usability and the interactive efficiency of the interface can be further improved.
Description
Technical Field
The embodiment of the application relates to electronic technology, and relates to a data processing method, a data processing device, data processing equipment and a data processing storage medium.
Background
The interactive interface is a channel for information interaction between a user and an electronic device (e.g., a mobile phone, a notebook, etc.), the user inputs information to the electronic device through the interactive interface to perform operations, and the electronic device provides information to the user through the interactive interface for reading, analyzing, judging, etc. The interactive interface is related software designed for interactive communication between the user and the electronic equipment, and aims to enable the user to conveniently and efficiently operate the electronic equipment to achieve bidirectional interaction and complete work which the user wants to complete by means of the electronic equipment. Therefore, the layout design of the interactive interface is very important, and the good layout design not only brings visual aesthetic feeling to the user, but also enables the user to efficiently finish operation on the interactive interface, thereby achieving the purpose of operation.
At present, the interactive relationship between the user and the electronic device becomes more and more complex, which brings great challenges to the layout design of the interactive interface. Designers often evaluate the usability of the interactive interface to optimize the interactive interface according to the evaluation result. Therefore, the accurate evaluation result can help a designer to quickly and accurately position the interface design problem, so that the optimized interactive interface has better interactive characteristics and user experience.
Disclosure of Invention
In view of this, embodiments of the present application provide a data processing method and apparatus, a device, and a storage medium. The technical scheme of the embodiment of the application is realized as follows:
in a first aspect, an embodiment of the present application provides a data processing method, where the method includes: acquiring a first data set acquired in the process of operating an interactive interface by a user; obtaining a second data set of the user evaluation interactive interface; evaluating the interactive interface according to the first data set and the second data set to obtain an evaluation result; and outputting the evaluation result.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including: the first data acquisition module is configured to acquire a first data set acquired in the process of operating the interactive interface by a user; the second data acquisition module is configured to acquire a second data set of the user evaluation interactive interface; the evaluation module is configured to evaluate the interactive interface according to the first data set and the second data set to obtain an evaluation result; an output module configured to output the evaluation result.
In a third aspect, an embodiment of the present application provides a data processing apparatus, including a memory and a processor, where the memory stores a computer program operable on the processor, and the processor implements the steps in the data processing method when executing the program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the data processing method.
In the embodiment of the application, the interactive interface is evaluated according to the first data set acquired in the process of operating the interactive interface by the user and the second data set of the interactive interface evaluated by the user, rather than only evaluating the interactive interface according to one of the first data set and the second data set, so that the problem that when one data set is unreliable, the evaluation result obtained only according to the data set has a large deviation from the actual condition can be solved, and therefore, a more accurate evaluation result is obtained, the interactive interface can be better optimized, the usability and the interactive efficiency of the interface are further improved, and better user experience is obtained.
Drawings
Fig. 1 is a schematic view of an application scenario of a data processing method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a flow chart of an implementation of a data processing method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an interface layout adjustment according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a usability assessment model according to an embodiment of the present application;
FIG. 5 is a schematic diagram of another adjustment interface layout according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 7 is a hardware entity diagram of a data processing device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, specific technical solutions of the present application will be described in further detail below with reference to the accompanying drawings in the embodiments of the present application. The following examples are intended to illustrate the present application but are not intended to limit the scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
It should be noted that the terms "first \ second \ third" referred to in the embodiments of the present application are only used for distinguishing different objects and do not represent a specific ordering for the objects, and it should be understood that "first \ second \ third" may be interchanged under specific orders or sequences where possible, so that the embodiments of the present application described herein can be implemented in an order other than that shown or described herein.
Before further detailed description of the embodiments of the present application, terms related to the embodiments of the present application will be described below.
Interaction effectiveness: the method is an evaluation category in the usability of the interactive interface, and generally evaluates the interactive effectiveness by the completion rate and the error rate of the task, wherein the higher the completion rate and the error rate of the task is, the lower the interactive effectiveness is; conversely, the higher the interaction effectiveness.
Interaction efficiency: the method is another evaluation category in the usability of the interactive interface, and the interaction efficiency is generally evaluated by the operation time and the operation path which are spent on completing the operation task, and the longer the operation time and the operation path are, the lower the interaction efficiency is; conversely, the higher the interaction efficiency.
Total access duration: the average access time of the interactive interface can be used for representing that the longer the access time is, the poorer the usability of the interactive interface is.
Eye jump: refers to the course of gaze movement of the eye jumping from one point of the interactive interface to another.
The times of eye jumps: the number of eye jumps reflects the quality of the design of the interactive interface, and if the user finds the target after many eye jumps and fixations, the design of the interactive interface may be problematic.
Eye jump amplitude: the eye jump amplitude refers to the spatial distance between the fixation points, and generally the average eye jump amplitude is taken. If the interface is reasonably designed, the user can directly reach the target item, and the average eye jump amplitude is larger.
Fixation: when the brain is thinking, the eyes will stop watching, and the longer the thinking time, the longer the eyes stop. Therefore, the time used by the cognitive activity of the user can be roughly determined through the gazing duration from the process of the user operating the interactive interface.
Fixation duration: generally, the average watching duration of a user on a certain area or a certain target item on the interactive interface is referred to, and the longer the watching duration is, the poorer the significance of the watched area or the target item is.
A fixation point: refers to the location where the user gazes at the interactive interface.
Spatial density of fixation point: generally refers to the number of points a user gazes at in a certain area, and the higher the density, the higher the interaction efficiency of the area is.
A fixation track diagram: including a series of points of regard and spatial distribution of eye jumps, i.e. a scan path. The longer the scan path, the less efficient the interaction is indicated.
And (3) interest area: the method refers to the area which is interested by the user in the interactive interface, determines the interested area and is beneficial to deeply mining the user requirement.
A heat point diagram: the general conditions of the fixation point and the sight line activity on the interactive interface are reflected, the general conditions are drawn by counting sight line movement data of a plurality of users, and the interest area can be determined through a hotspot graph.
An application scenario is provided first in an embodiment of the present application, and fig. 1 is a schematic view of an application scenario of a data processing method in an embodiment of the present application, as shown in fig. 1, in the application scenario, terminals 101 to 10N and a server 111 are included. The terminals 101 to 10N may be mobile terminals with wireless communication capability, such as mobile phones (e.g., mobile phones), tablet computers, and notebook computers, and may also be desktop computers and desktop computers with computing function, which are not mobile. The user can realize interaction with a certain interactive interface through the terminal, for example, the user chats with a friend through an application interface of a certain chat application on the terminal 101; for another example, the user may browse a recipe through an application interface of a recipe application on the terminal 101; the server 111 may be one server, a server cluster composed of a plurality of servers, a cloud computing center, or the like, and is not limited herein.
When a user interacts with an interactive interface (i.e., an interactive interface to be evaluated) on any one of the terminals 101 to 10N, the terminal may collect a first data set under a condition that the user does not perceive, for example, collect gaze movement data of the user, an interactive interface area associated with the gaze movement data, operation data received by the interactive interface, and the like; meanwhile, the terminal can also obtain a second data set of the user evaluation interactive interface in a questionnaire survey mode and the like; then, the terminal sends the first data set and the second data set to the server 111, the server 111 evaluates the interactive interface according to the data, a designer can determine an optimization strategy of the interactive interface according to an evaluation result and import the optimization strategy into the server 111, and the server 111 sends the optimization strategy to the terminals 101 to 10N, so that the terminals 101 to 10N optimize the interactive interface according to the optimization strategy.
Embodiments of a data processing method, a data processing apparatus, and a data processing device are described below with reference to an application scenario diagram shown in fig. 1. In the embodiments of the present application, the data processing device may be a server as shown in fig. 1, and may also be terminals 101 to 10N as shown in fig. 1.
An embodiment of the present application provides a data processing method, and fig. 2 is a schematic diagram illustrating an implementation flow of the data processing method according to the embodiment of the present application, and as shown in fig. 2, the method at least includes the following steps S201 to S204:
in step S201, the data processing device obtains a first data set collected during the operation of the interactive interface by the user.
In implementing step S201, the first data set collected by the data processing device includes at least one of: the sight line movement data of the user, an interactive interface area associated with the sight line movement data, and operation data received by the interactive interface; the sight line motion data may be, for example, a gazing duration, a gazing trajectory diagram, a hotspot diagram, a gazing point spatial density, eye jump times, eye jump amplitude, and the like of a user gazing at a certain area of the interactive interface; when the data processing device is used, the sight line movement data can be collected through the eye tracker, the eye tracker sends the collected sight line movement data to the data processing device, and the sight line movement data can be obtained through a sight line tracker (such as a camera) on the data processing device. The operation data may be, for example, the number of times that the user clicks the interactive interface when completing an operation task, the average duration of accessing the interactive interface, and the like; in implementation, the operational data may be obtained from user log data.
The first data set is acquired on the premise of not interfering the user to operate the interactive interface, so that compared with the second data set, the content of the first data set can more objectively reflect the thinking activity of the user when interacting with the interactive interface, and can record the time information and the space information of the user in the process of operating the interactive interface in detail, thereby objectively disclosing the design problem of the interactive interface. However, the first data set may not be able to fully and truly reflect the user's experience with the interactive interface, subject to limitations of the acquisition device itself.
When step S201 is implemented by a server, the server may receive a first data set sent by a terminal; when the step S201 is implemented by the terminal, the terminal may acquire the sight line movement data of the user through a sight line tracker installed on the terminal, or the terminal may further receive the sight line movement data acquired by an external eye tracker.
Step S202, the data processing equipment obtains a second data set of the user evaluation interactive interface.
In implementations, the data processing device may obtain a second set of data in the form of a questionnaire or interview that the user rated the interactive interface. For example, in a questionnaire survey, questions such as the following are asked: whether the user is satisfied with the setting of the control A at the lower left corner of the interactive interface; whether the user can fully understand the function corresponding to the interface element on the interactive interface.
It can be seen that the second set of data can truly reflect the user's experience in operating the interactive interface. However, the content of the second data has strong subjectivity, the data hardly reflects the thinking activity of the user during human-computer interaction objectively, and the answer result of the user is easily affected by subjective factors of the tester, for example, when the tester visits the user, the interview environment and the tone of the tester may have a bad influence on the answer result of the user.
Step S203, the data processing equipment evaluates the interactive interface according to the first data set and the second data set to obtain an evaluation result.
Here, in the present embodiment, the data processing apparatus evaluates the interactive interface based on the first data set and the second data set in combination with advantages and disadvantages of the first data set and the second data set, that is, by using advantages of the first data set and the second data set to complement each other. For example, the interaction effectiveness of the interaction interface is evaluated according to the first data set and the second data set; for another example, the user satisfaction of the interactive interface is evaluated according to the first data set and the second data set, so that a more accurate evaluation result can be obtained, and the interface layout of the interactive interface is further optimized.
Step S204, the data processing equipment outputs the evaluation result.
The expression form of the evaluation result is not limited, and the output mode of the evaluation result is not limited. For example, the evaluation result may be at least one numerical value (e.g., 60% of interaction efficiency for implementing a certain function), a qualitative description of the interactive interface (e.g., the interactive interface is less effective in interaction, difficult for a user to understand, etc.), or a qualitative description of a certain interface element in the interactive interface (e.g., a certain control is difficult to find). When step S204 is implemented by a terminal, the terminal may send the evaluation result to the server, so that the server or a designer optimizes the interactive interface according to the evaluation results sent by the plurality of terminals; when step S204 is implemented by the server, the server may directly display the evaluation result, for example, in the form of a graph.
After the data processing device outputs the evaluation result, a designer or the data processing device may adjust the interface layout of the interactive interface according to the evaluation result. For example, in implementation, if the evaluation result does not satisfy the condition, the data processing device adjusts the interface layout of the interactive interface according to the first data set or the second data set, so that the cost brought by manually optimizing the interface layout can be saved, the usability and the interaction efficiency of the interactive interface can be improved, and the user experience can be improved by automatically adjusting the interface layout of the interactive interface.
For example, assuming that the interaction efficiency of the evaluation result for implementing a certain function is less than 50%, it is determined that the evaluation result does not satisfy the condition, and at this time, the data processing device may adjust the interface layout of the interactive interface according to the first data set, for example, as shown in fig. 3, the first data set includes a position 32 where the control 31 implementing the function is difficult to find by the user in the interactive interface at a glance and the number of times the control 31 is clicked; if the number of times the control 31 is clicked exceeds the threshold, it is stated that the function corresponding to the control 31 is frequently used by the user, and based on this, the data processing device can adjust the control 31 to a position 33 in the interactive interface that is easily found by the user.
In the embodiment of the application, the interactive interface is evaluated according to the first data set acquired in the process of operating the interactive interface by the user and the second data set evaluated by the user, rather than only evaluating the interactive interface according to the first data set or the second data set, so that the problem that when one data set is unreliable, the evaluation result obtained only according to the data set has a larger deviation from the actual condition can be solved, a more accurate evaluation result is obtained, the optimization of the interactive interface is facilitated, and better user experience is obtained.
In other embodiments, if the evaluation result does not satisfy the condition, the data processing device triggers the interactive interface to enter an editable state, so that a user can set the interface layout of the interactive interface;
here, if the data processing device is a server and the interactive interface is on the terminal, the server sends a trigger instruction to the terminal to trigger the interactive interface on the terminal to enter an editable state, so that the user can flexibly and autonomously set the interface layout meeting the personalized requirements of the user.
When the method is realized, when the interactive interface in an editable state receives an operation instruction, equipment for displaying the interactive interface responds to the operation instruction; wherein the operation instruction comprises at least one of: adding an interface element to any position in the interactive interface, deleting any interface element in the interactive interface, moving any interface element to any position in the interactive interface, and closing the editable state.
It should be noted that the interface element refers to an element on the interactive interface, such as a control, a picture, a text, and the like. The equipment for displaying the interactive interface realizes the random editing of the interactive interface by the user by responding to the operation instruction so as to obtain the interface layout conforming to the personalized characteristics of the user and improve the user experience.
The embodiment of the present application provides another data processing method, which at least includes the following steps S301 to S307:
in step S301, the data processing device obtains a first data set collected during a user operation of the interactive interface.
Step S302, the data processing equipment obtains a second data set of the user evaluation interactive interface.
Step S303, the data processing device obtains a first coefficient and a second coefficient, where the first coefficient and the second coefficient respectively represent the influence degrees of the first data set and the second data set on the usability of the interactive interface.
It should be noted that the first coefficient and the second coefficient are indicative of the influence degree of the entirety of the first data set and the entirety of the second data set on the usability of the interactive interface, respectively. Generally, the first data set and the second data set have different influence degrees on the usability of the interactive interface, for example, the first data set has a larger influence degree on the interactive effectiveness of the interactive interface, and the second data set has a smaller influence degree on the interactive effectiveness of the interactive interface; for another example, the first data set has a relatively small influence on the user satisfaction of the interactive interface, and the second data set has a relatively large influence on the user satisfaction of the interactive interface. Thus, the first coefficient and the second coefficient are generally different.
In implementing step S303, the data processing device may be implemented by step S403 in an embodiment, where, according to an evaluation category that measures availability of the interactive interface, a first coefficient and a second coefficient corresponding to the evaluation category are obtained. When the method is implemented, the first coefficient and the second coefficient can be characterized by a weight, and the sum of the first coefficient and the second coefficient is 1.
Step S304, the data processing equipment analyzes the usability of the interactive interface according to the first coefficient and the first data set to obtain a first analysis result.
It can be understood that, when the usability of the interactive interface is analyzed, a more accurate first analysis result can be obtained according to the data content of the first data set and the influence degree of the first data set on the usability of the interactive interface, and a more accurate evaluation result is obtained, which is beneficial to quickly and accurately positioning the design problem of the interactive interface.
When step S304 is implemented, step S404 to step S407 may be implemented in the following embodiments, which are not described herein again.
Step S305, the data processing device analyzes the usability of the interactive interface according to the second coefficient and the second data set, so as to obtain a second analysis result.
And S306, fusing the first analysis result and the second analysis result by the data processing equipment to obtain the evaluation result.
In implementing step S306, the first analysis result and the second analysis result may be simply added to obtain an evaluation result. For example, the first analysis result includes that the interaction effectiveness of browsing the friend homepage is a, the second analysis result includes that the interaction effectiveness of browsing the friend homepage is B, and at this time, one of the obtained evaluation results is that the interaction effectiveness of browsing the friend homepage is (a + B).
It should be noted that steps S303 to S306 are an implementation example of step S203 in the foregoing embodiment, that is, the data processing apparatus evaluates the interactive interface according to the first data set and the second data set to obtain an evaluation result, and includes steps S303 to S306.
Step S307, the data processing device outputs the evaluation result, so that a designer can analyze factors influencing the usability of the interactive interface by referring to the evaluation result, the first data set and the second data set, thereby updating the interactive interface and improving user experience.
In the embodiment of the application, when the usability of the interactive interface is evaluated according to the first data set and the second data set, the influence degree of the first data set and the influence degree of the second data set on the usability of the interactive interface are also considered, so that the interactive interface can be evaluated more scientifically, and a more accurate evaluation result is obtained.
The embodiment of the present application provides another data processing method, which at least includes the following steps S401 to S410:
step S401, the data processing device obtains a first data set collected during the user operation of the interactive interface.
Step S402, the data processing equipment obtains a second data set of the user evaluation interactive interface.
Step S403, the data processing device obtains a first coefficient and a second coefficient corresponding to the evaluation category according to the evaluation category for measuring the usability of the interactive interface.
It is understood that the degree of influence of the first data set or the second data set on the usability of the interactive interface is different in different evaluation categories, and the magnitude relationship between the first coefficient and the second coefficient is different in each evaluation category. When the evaluation category is used for reflecting the interaction characteristics (such as interaction effectiveness, interaction efficiency and the like) of the interaction interface, the obtained first coefficient is greater than or equal to the second coefficient; when the evaluation category is used to reflect a user experience (e.g., user comprehensiveness, user satisfaction, etc.) of the interactive interface, the obtained first coefficient is less than or equal to the second coefficient.
For example, as shown in table 1, when the evaluation category is the interaction effectiveness or the interaction efficiency, the obtained first coefficient is 0.8, and the second coefficient is 0.2; when the evaluation category is the user satisfaction, the obtained first coefficient is 0.1, and the second coefficient is 0.9; when the evaluation category is user comprehension, the first coefficient obtained is 0.4 and the second coefficient is 0.6.
TABLE 1
Therefore, when the interaction effectiveness or the interaction efficiency of the interaction interface is evaluated, a more objective evaluation result can be obtained by taking the first data set (such as sight line movement data, user operation data and the like) as a main influence factor; similarly, when the user comprehensibility or the user satisfaction of the interactive interface is evaluated, the second data set is used as a main influence factor, so that the obtained evaluation result is more consistent with the real experience of the user.
Step S404, the data processing device obtains a third coefficient corresponding to each first data in the first data set, where the third coefficient is used to represent the degree of influence of the first data on the usability of the interactive interface.
Here, the third coefficient characterizes a degree of influence of a set of first data in the first data set on the usability of the interactive interface, unlike the first coefficient and the second coefficient. The degree of influence of different first data on the usability of the interactive interface may be different, for example, as shown in table 2, which shows the third coefficients corresponding to each first data category under the same evaluation category. When the interactive effectiveness of the interactive interface is evaluated, the influence degree of the total access duration on the interactive effectiveness is relatively large, and a corresponding third coefficient is 0.3; the hot spot map and the eye jump amplitude may have no effect on the effectiveness of the interaction, so the corresponding third coefficient is 0.
TABLE 2
In step S405, the data processing device quantizes each first data to obtain a quantized value corresponding to the first data.
It is to be understood that the purpose of quantization is to unify the dimension of each first data in the first data set, thereby facilitating the subsequent fusion of each first data. In implementing step S405, the data processing apparatus may quantize each first data according to a predetermined quantization rule, thereby obtaining a quantized value having the same unit, for example, the quantized value is characterized by a score value. When the interactive effectiveness of the interactive interface is evaluated, taking the total access time length and the watching time length of a certain target item in the first data set as examples, as shown in table 3, which shows the quantization rules corresponding to these two data, according to the quantization rules shown in table 3, for example, when the total access time length is 5 minutes (min), it indicates that the interactive efficiency or the interactive effectiveness of the interactive interface is not good enough, and the corresponding quantization value is 80 minutes; when the fixation time of a certain target item is 0.2 seconds (second, s), it indicates that the interaction efficiency or the interaction effectiveness of the target item is relatively good, and the corresponding quantization value is 100 points.
TABLE 3
| Total access duration t1 | Quantitative value (score) | Target item fixation duration t2 | Quantitative value (score) |
| 0≤t1＜1min | 100 | 0≤t2＜0.5s | 100 |
| 1min≤t1＜10min | 80 | 0.5s≤t2＜2s | 80 |
| 10min≤t1 | 50 | 2s≤t2 | 50 |
It should be noted that, the quantization rules corresponding to different evaluation categories may be the same or different.
Step S406, the data processing device fuses each third coefficient and each quantized value to obtain a fused result.
The fusion method is not limited here, and for example, each third coefficient is multiplied by the corresponding quantization value to obtain a first numerical value, and then each first numerical value is added to obtain a fusion result.
Step S407, the data processing device determines the first analysis result according to the first coefficient and the fusion result.
For example, the product of the first coefficient and the fusion result is taken as the first analysis result.
Step S408, the data processing device analyzes the usability of the interactive interface according to the second coefficient and the second data set to obtain a second analysis result.
When step S408 is implemented, it can also be implemented by a method similar to the method for determining the first analysis result (i.e., step S404 to step S407), and details thereof are not repeated here.
And step S409, fusing the first analysis result and the second analysis result by the data processing equipment to obtain the evaluation result. For example, the result obtained by adding the first analysis result of a certain target item to the second analysis result of the target item is used as the evaluation result of the target item.
In step S410, the data processing apparatus outputs the evaluation result.
In the embodiment of the application, when the first analysis result is determined, not only the influence degree of the whole first data set on the usability of the interactive interface is considered, but also the influence degree of each first data in the first data set on the usability of the interactive interface is considered, so that the usability of the interactive interface can be more scientifically evaluated, a more accurate evaluation result is obtained, and further optimization of the interface layout of the interactive interface is facilitated.
A cloud service platform interaction availability evaluation method mainly solves the availability problem of an interaction interface of a cloud service platform, and the design problem of the interaction interface is found by evaluating the availability of the interaction interface, so that the interaction efficiency, the interaction effectiveness, the user satisfaction degree and the user comprehensiveness of the interface are improved. Currently, methods for evaluating usability of an interactive interface are well-researched, and mainly include traditional usability tests, heuristic tests, sight tracking technologies, and the like. But related research on usability assessment tools is less, and no mature tool for usability assessment of the interactive interface exists.
Usability evaluation is a process of systematizing usability data of a computer interactive interface, evaluating and optimizing the usability data, and traditional usability evaluation methods comprise usability tests, heuristic evaluation cognitive process browsing and user model methods. The usability test takes a user as a tested object, uses objective quantitative indexes, is comprehensive and accurate, and is suitable for each stage of usability evaluation. However, usability tests mainly use methods such as a direct observation method, a vocal thinking method, questionnaire survey and interview, a video recording method and the like, are mainly qualitative evaluations, have strong subjectivity, are difficult to objectively reflect thinking activities of users during human-computer interaction, are more restricted by subjective factors of main trials, and for example, during interview, environment and language of the main trials may influence results of the trials.
The sight tracking technology can accurately record relevant information of eye movement in the process of a task of a user (namely, one type of data in the first data set in the embodiment, such as the position, sequence, time and the like of fixation); secondly, the sight tracking technology can help researchers to deeply analyze the visual processing rule and cognitive processing in the user operation process, for example, the sight tracking technology can be used for revealing a strategy adopted by a user on a browsing interface; finally, as an evaluation method of non-interference measurement, the sight tracking technology can provide objective, detailed and visual data results and vividly and visually display usability problems. The sight tracking technology can reveal the strategy adopted by the user on the interface, and can provide the tester with the time information and the space information of the searching and processing process of the user under the condition that the user is not aware of the technology.
However, at present, the following deficiencies still exist in the field of assessment of usability of interactive interfaces: 1) although the related research of the usability assessment method is mature, no mature application software or online tool for interactive interface usability assessment is available. 2) The currently common usability assessment method pays attention to interaction effectiveness, interaction efficiency and user satisfaction, but lacks attention to the understanding degree of the user on the interaction interface. 3) There are fewer cases where conventional usability testing methods are used in conjunction with line-of-sight tracking techniques.
The embodiment of the application provides a cloud platform interactive availability evaluation method and tool based on a sight tracking technology, wherein the availability evaluation tool belongs to an online evaluation tool of an interactive interface, and combines the sight tracking technology and a traditional availability evaluation method, as shown in fig. 4, the availability evaluation is performed on the cloud platform interactive interface from two aspects and four different latitudes, the two aspects are respectively quantitative and qualitative, wherein the qualitative is mainly a traditional availability test method, such as questionnaire survey, heuristic evaluation and the like, and the quantitative is mainly realized through the sight tracking technology. The four dimensions are interaction effectiveness, interaction efficiency, user satisfaction and user comprehensiveness respectively. Firstly, quantitatively and objectively evaluating the usability of an interactive interface of a cloud platform by using a sight tracking technology, and comprehensively analyzing the interactive effectiveness and the interactive efficiency of the interface from four indexes of time, quantity, visualization and eye movement by combining background data (such as user log data); and then, the user satisfaction and the user comprehensiveness are subjectively analyzed by using traditional usability tests, questionnaires and other methods. And the evaluation tool displays the evaluation result in a data visualization mode and outputs an evaluation report.
The embodiment of the application not only provides an availability evaluation method based on a sight tracking technology, but also designs an interactive interface online evaluation tool. Firstly, importing a high-fidelity interactive prototype of a cloud platform to be tested into an evaluation page, setting a typical experiment task according to the main interactive function of the prototype, and combing the task flow. Questionnaires were designed according to experimental goals. Then, the experimental subjects are recruited, in the process of executing a typical experimental task, the eye movement data (i.e. the first data in the first data set in the foregoing embodiment) of the experimental subjects are collected by means of the eye tracker, after the experiment is finished, the eye movement data of each experimental task is output in a visual chart form, and in combination with an questionnaire, the experiment result is analyzed, an availability report is output, the design problem of the interactive prototype is found, the interactive process and the interface design are optimized in a targeted manner, and the availability is improved.
TABLE 4
In the evaluation technical solution, the evaluation of the interaction effectiveness and the interaction efficiency is mainly achieved by means of the gaze tracking technology, and the user satisfaction and the user comprehensiveness are mainly evaluated by means of the conventional usability evaluation method, but the two methods are not completely independent, and the weighting coefficients of the usability evaluation indexes (i.e. the evaluation categories described in the foregoing embodiments) are as shown in table 4 above.
The assessment technical scheme provides a brand-new and accurate assessment scheme for the usability assessment of the interactive interface, and the problems are found and solved more efficiently, and the value of the assessment technical scheme is mainly embodied in the following two aspects:
1) from the perspective of cloud platform interactive availability evaluation, the interactive problems in the prototype can be found more quickly through eye movement experiments and questionnaire investigation, and the efficiency, the user experience and the satisfaction degree of the cloud platform service are improved.
2) From the viewpoint of usability evaluation of the webpage-side interactive interface, the embodiment of the application provides an efficient usability evaluation platform, has certain universality and personalized customized design, saves prototype evaluation time and labor cost, and improves development and design efficiency.
The construction of the usability evaluation model is explained below.
The sight tracking technology takes sight movement of a user as a measuring basis, measures effectiveness and interaction efficiency of an interaction interface by using eye movement data, firstly determines indexes needing to be recorded in an eye movement experiment, and visually reflects the effectiveness and the interaction efficiency of interaction through the indexes.
The indexes mainly recorded in the eye movement experiment are respectively a time index, a quantity index, a visual index and an eye movement index; the time index mainly comprises total access time length and watching time length in the process of interaction between a user and an interface; the quantity index mainly comprises the space density of the fixation point and the mouse click frequency; the visualization indexes mainly comprise a watching trajectory graph and a hotspot graph; the eye movement index mainly comprises the eye jump times and the eye jump amplitude. The meaning of each index as characterized is explained as shown in table 5 below.
TABLE 5
Based on this, the influence coefficients of the above-mentioned indexes on the interaction effectiveness, the interaction efficiency, the user satisfaction, and the user comprehensiveness are set, for example, as shown in table 6 below.
TABLE 6
The following describes an implementation of the usability evaluation tool based on the Web-side interactive interface.
The assessment tool for the interactive usability of the cloud platform based on the sight tracking technology is mainly realized through Web, firstly, a high-fidelity prototype is imported, and an experiment task, a cognitive walkthrough and an questionnaire are set according to the product functional key points of the cloud platform. And finally, analyzing the obtained experimental data, outputting an evaluation result and outputting an availability evaluation report by adopting a data visualization display form.
When setting up the experiment task, the tester can design this experiment task on the basis of the product function deep understanding of cloud platform, and the experiment task mainly designs to the typical scene that the user commonly used, sets up 5 typical tasks, including the establishment of cloud host computer, the establishment of naked metal, the monitoring task of looking over VPC, establish warning rule and acquire resource pool capacity information.
When the cognitive walkthrough is carried out, a designer simulates the problems encountered by each operation step of a user in the product using process and checks whether the task target and the psychological cognition of the user can smoothly execute the next operation. Aiming at each step of operation, in cognitive walk, the following four problems are presented to a user: 1. is the user know what to do by himself? 2. Is the user aware of the method of operation in exploring the user interface? 3. Is the user associated with their own purpose and correct method of operation? 4. Can the user determine from the feedback from the system whether the task is proceeding smoothly?
In the questionnaire, questions are designed from two dimensions of user satisfaction and user comprehension according to interaction usability evaluation targets, and key questions existing in the layout design of the interaction interface are analyzed for the internal and external behaviors of the user through activity, Interest and opinion (Activities, Interest, Opinions, AIO) scales.
In the embodiment of the application, firstly, an availability evaluation method based on a sight tracking technology is provided, and the availability evaluation is performed on a cloud platform from two dimensions of quantification and qualification, so that the design problem influencing the interface availability is found out more accurately; secondly, an availability evaluation tool is designed, a prototype to be tested is led in by one key, an experiment task is carried out by means of an eye tracker, background data is displayed in a chart form, an availability report can be output quickly, and problems of the cloud platform interaction prototype can be analyzed from three dimensions of interaction effectiveness, interaction efficiency, user satisfaction and user comprehensiveness; third, data of eye movement data is visually analyzed. Currently available usability assessment methods stay in the theoretical research stage and only use a single traditional usability testing method, and are not combined with a practical platform. The embodiment of the application designs an availability evaluation tool based on a sight tracking technology.
In the embodiments of the present application, first, the sight-line tracking technique is combined with a traditional usability assessment method to perform usability analysis from both quantitative and qualitative dimensions. The existing usability evaluation methods are many, but online evaluation tools are less in research, the evaluation process is more complicated, and the accuracy is poor. The usability assessment tool based on the sight tracking technology is designed, the interactive interface is assessed from two dimensionalities of quantification and qualification respectively, the defect that a traditional assessment mode is subjective is overcome, and the assessment result is displayed more intuitively and efficiently by combining an online tool and background data analysis, so that problems are found, and designers are helped to solve the problems existing in design more accurately. Secondly, a research method is combined to design an interactive usability online evaluation tool. The existing usability evaluation methods are many, but online evaluation tools are less researched, the traditional evaluation process is more complicated, and the accuracy is lacked. The usability assessment tool based on the sight tracking technology is designed, a prototype to be tested is guided in, an experiment task is designed, an experiment is carried out by means of an eye tracker, background data are visually displayed in a visualized mode, and a whole usability test report is output by combining with questionnaire survey.
Based on the foregoing embodiments, the present application provides a data processing apparatus, which includes modules included in the apparatus and units included in the modules, and can be implemented by a processor in a terminal; of course, the implementation can also be realized through a specific logic circuit; in implementation, the processor may be a Central Processing Unit (CPU), a Microprocessor (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like.
Fig. 6 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application, and as shown in fig. 6, the apparatus 600 includes a first data obtaining module 601, a second data obtaining module 602, an evaluating module 603, and an output module 604, where: a first data acquisition module 601 configured to acquire a first data set acquired during a user operation of an interactive interface; a second data obtaining module 602 configured to obtain a second data set of the user evaluation of the interactive interface; the evaluation module 603 is configured to evaluate the interactive interface according to the first data set and the second data set to obtain an evaluation result; an output module 604 configured to output the evaluation result.
In other embodiments, the evaluation module 603 includes: the coefficient acquisition unit is configured to acquire a first coefficient and a second coefficient, wherein the first coefficient and the second coefficient respectively represent the influence degrees of the first data set and the second data set on the usability of the interactive interface; the first analysis unit is configured to analyze the usability of the interactive interface according to the first coefficient and the first data set to obtain a first analysis result; the second analysis unit is configured to analyze the usability of the interactive interface according to the second coefficient and the second data set to obtain a second analysis result; and the result fusion unit is configured to fuse the first analysis result and the second analysis result to obtain the evaluation result.
In other embodiments, the coefficient obtaining unit is configured to obtain, according to an evaluation category that measures the usability of the interactive interface, a first coefficient and a second coefficient that correspond to the evaluation category.
In other embodiments, the first coefficient is greater than or equal to the second coefficient when the assessment category is used to reflect an interaction characteristic of the interactive interface; the first coefficient is less than or equal to the second coefficient when the evaluation category is used to reflect a user experience of the interactive interface.
In other embodiments, the first analysis unit is configured to: obtaining a third coefficient corresponding to each first data in the first data set, wherein the third coefficient is used for representing the influence degree of the first data on the usability of the interactive interface; quantizing each first data to obtain a quantized value corresponding to the first data; fusing each third coefficient and each quantized value to obtain a fused result; and determining the first analysis result according to the first coefficient and the fusion result.
In other embodiments, the apparatus further comprises a layout adjustment module 605, and the layout adjustment module 605 is configured to adjust the interface layout of the interactive interface according to the first data set or the second data set if the evaluation result does not satisfy the condition.
In other embodiments, the layout adjustment module 605 is further configured to trigger the interactive interface to enter an editable state if the evaluation result does not satisfy the condition, so that the user can set the interface layout of the interactive interface.
In other embodiments, the layout adjustment module 605 is further configured to respond to an operation instruction when the interactive interface in the editable state receives the operation instruction; wherein the operation instruction at least comprises one of the following: adding an interface element to any position in the interactive interface, deleting any interface element in the interactive interface, moving any interface element to any position in the interactive interface, and closing the editable state.
The above description of the apparatus embodiments, similar to the above description of the method embodiments, has similar beneficial effects as the method embodiments. For technical details not disclosed in the embodiments of the apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be noted that, in the embodiment of the present application, if the data processing method is implemented in the form of a software functional module and sold or used as a standalone product, the data processing method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a data processing apparatus to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
Correspondingly, an embodiment of the present application provides a data processing apparatus, fig. 7 is a schematic diagram of a hardware entity of the data processing apparatus in the embodiment of the present application, and as shown in fig. 7, the hardware entity of the data processing apparatus 700 includes: comprising a memory 701 and a processor 702, said memory 701 storing a computer program operable on the processor 702, said processor 702 implementing the steps in the data processing method provided in the above embodiments when executing said program.
The Memory 701 is configured to store instructions and applications executable by the processor 702, and may also buffer data (e.g., image data, audio data, voice communication data, and video communication data) to be processed or already processed by the processor 702 and modules in the data processing apparatus 700, and may be implemented by a FLASH Memory (FLASH) or a Random Access Memory (RAM).
Correspondingly, the present application provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in the data processing method provided in the above embodiments.
Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a data processing apparatus to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A method of data processing, the method comprising:
acquiring a first data set acquired in the process of operating an interactive interface by a user;
obtaining a second data set of the user evaluation interactive interface;
evaluating the interactive interface according to the first data set and the second data set to obtain an evaluation result;
and outputting the evaluation result.
2. The method of claim 1, wherein evaluating the interactive interface based on the first data set and the second data set to obtain an evaluation result comprises:
obtaining a first coefficient and a second coefficient, wherein the first coefficient and the second coefficient respectively represent the influence degrees of the first data set and the second data set on the usability of the interactive interface;
analyzing the usability of the interactive interface according to the first coefficient and the first data set to obtain a first analysis result;
analyzing the usability of the interactive interface according to the second coefficient and the second data set to obtain a second analysis result;
and fusing the first analysis result and the second analysis result to obtain the evaluation result.
3. The method of claim 2, wherein obtaining the first coefficient and the second coefficient comprises:
and according to the evaluation category for measuring the usability of the interactive interface, obtaining a first coefficient and a second coefficient corresponding to the evaluation category.
4. The method of claim 3,
when the evaluation category is used for reflecting the interaction characteristics of the interaction interface, the first coefficient is larger than or equal to the second coefficient;
the first coefficient is less than or equal to the second coefficient when the evaluation category is used to reflect a user experience of the interactive interface.
5. The method of claim 2, wherein analyzing the availability of the interactive interface based on the first coefficient and the first data set to obtain a first analysis result comprises:
obtaining a third coefficient corresponding to each first data in the first data set, wherein the third coefficient is used for representing the influence degree of the first data on the usability of the interactive interface;
quantizing each first data to obtain a quantized value corresponding to the first data;
fusing each third coefficient and each quantized value to obtain a fused result;
and determining the first analysis result according to the first coefficient and the fusion result.
6. The method according to any one of claims 1 to 5, further comprising:
and if the evaluation result does not meet the condition, adjusting the interface layout of the interactive interface according to the first data set or the second data set.
7. The method according to any one of claims 1 to 5, further comprising:
and if the evaluation result does not meet the condition, triggering the interactive interface to enter an editable state so as to enable a user to set the interface layout of the interactive interface.
8. The method of claim 7, further comprising:
when the interactive interface in the editable state receives an operation instruction, responding to the operation instruction;
wherein the operation instruction at least comprises one of the following: adding an interface element to any position in the interactive interface, deleting any interface element in the interactive interface, moving any interface element to any position in the interactive interface, and closing the editable state.
9. A data processing apparatus, comprising:
the first data acquisition module is configured to acquire a first data set acquired in the process of operating the interactive interface by a user;
the second data acquisition module is configured to acquire a second data set of the user evaluation interactive interface;
the evaluation module is configured to evaluate the interactive interface according to the first data set and the second data set to obtain an evaluation result;
an output module configured to output the evaluation result.
10. A data processing apparatus comprising a memory and a processor, the memory storing a computer program operable on the processor, wherein the processor implements the steps of the data processing method of any one of claims 1 to 8 when executing the program.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the data processing method of any one of claims 1 to 8.
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