Method and apparatus for determining the complexity of human-computer interaction tasks

Abstract

The present invention discloses a method and device for determining the complexity of a human-computer interaction task, relating to the technical field of human-computer interaction. The target parameters of the present invention include multiple ones among the number of interaction steps of the human-computer interaction task in this product, the questionnaire score, the operation duration parameter for the user to complete the human-computer interaction task, the success rate parameter, and the eye fixation duration parameter on the screen. The target parameters are parameters that can reflect the complexity of the human-computer interaction task. Multiple evaluation indicators corresponding to the human-computer interaction task are determined according to the target parameters, and the complexity of each human-computer interaction task is calculated according to the evaluation indicators corresponding to multiple human-computer interaction tasks, so that the complexity of the human-computer interaction task can be objectively and quantitatively determined.

Description

Technical Field

[0001] The present invention relates to the technical field of human - computer interaction, and particularly to a method and device for determining the complexity of human - computer interaction tasks. Background Art

[0002] With the development of information technology, there are more and more human - computer interaction scenarios. For example, users control vehicles through the vehicle center console screen, or users operate mobile phones. Each human - computer interaction scenario has a large number of interaction tasks, such as controlling various functions of a vehicle or operating various APPs in a mobile phone. The complexity of human - computer interaction tasks determines the user experience when performing such interaction tasks. Too high complexity may lead to the user being unable to complete the interaction task or the time and energy cost of completing the interaction task being too high. At present, the complexity of human - computer interaction tasks cannot be quantified, and can only be reflected by the subjective evaluation of users, which has the problem of low reliability and cannot provide data support for improving interaction tasks. Therefore, in order to improve the reliability of the complexity of human - computer interaction tasks and provide data support for improving interaction tasks, how to objectively and quantitatively determine the complexity of human - computer interaction tasks has become an urgent problem in this field. Summary of the Invention

[0003] The present invention solves the technical problem of how to objectively and quantitatively determine the complexity of human - computer interaction tasks by providing a method and device for determining the complexity of human - computer interaction tasks.

[0004] On the one hand, the present invention provides the following technical solution:

[0005] A method for determining the complexity of human - computer interaction tasks, comprising:

[0006] Obtaining the target parameters corresponding to each of the multiple human - computer interaction tasks;

[0007] Determining multiple evaluation indicators corresponding to the human - computer interaction task according to the target parameters;

[0008] Calculating the complexity of each human - computer interaction task according to the evaluation indicators corresponding to the multiple human - computer interaction tasks;

[0009] The target parameters include multiple of the number of interaction steps of the human - computer interaction task in this product, the questionnaire score, the operation duration parameter of the user to complete the human - computer interaction task, the success rate parameter, and the eye - attention screen duration parameter.

[0010] Preferably, the operation duration parameter includes the actual operation duration of the user to complete the human - computer interaction task of this product, the minimum operation duration and the maximum operation duration of the user to complete the human - computer interaction tasks of this product and competing products;

[0011] The success rate parameter includes the actual success rate of the user in completing the human-computer interaction task of this product and the minimum success rate of the user in completing the human-computer interaction tasks of this product and competing products;

[0012] The parameter of the duration of eye fixation on the screen includes the actual duration of the user's eye fixation on the screen when completing the human-computer interaction task of this product, the minimum duration of the user's eye fixation on the screen when completing the human-computer interaction tasks of this product and competing products, and the maximum duration of eye fixation on the screen.

[0013] Preferably, the target parameters include the number of interaction steps, the operation duration parameter, the success rate parameter, and the questionnaire score;

[0014] Determining multiple evaluation indicators corresponding to the human-computer interaction task according to the target parameters includes:

[0015] Determining the interaction step score according to the number of interaction steps;

[0016] Determining the questionnaire score according to the questionnaire score;

[0017] According to the formula Calculating one of the evaluation indicators, where s is the interaction step score, t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the minimum success rate, and f is the questionnaire score.

[0018] Preferably, the target parameters include the number of interaction steps and the operation duration parameter;

[0019] Determining multiple evaluation indicators corresponding to the human-computer interaction task according to the target parameters includes:

[0020] Determining the interaction step score according to the number of interaction steps;

[0021] According to the formula Calculating one of the evaluation indicators, where s is the interaction step score, t is the actual operation duration, m1 is the minimum operation duration, and m2 is the maximum operation duration.

[0022] Preferably, the target parameters include the operation duration parameter, the success rate parameter, and the questionnaire score; determining multiple evaluation indicators corresponding to the human-computer interaction task according to the target parameters includes:

[0023] Determining the questionnaire score according to the questionnaire score;

[0024] According to the formula Calculate one of the evaluation metrics, where t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the minimum success rate, and f is the questionnaire score.

[0025] Preferably, the target parameters include the operation duration parameter, the success rate parameter, and the eye attention screen duration parameter;

[0026] The determination of multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters includes:

[0027] According to the formula Calculate one of the evaluation metrics, where t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the minimum success rate, T is the actual eye attention screen duration, m4 is the minimum eye attention screen duration, and m5 is the maximum eye attention screen duration.

[0028] Preferably, the calculation of the complexity of each human-computer interaction task according to the evaluation metrics corresponding to multiple human-computer interaction tasks includes:

[0029]

[0030] i = 1,..., N;

[0031] j = 1,..., n;

[0032] where s i is the complexity of the i-th human-computer interaction task, N is the number of human-computer interaction tasks, n is the number of evaluation metrics corresponding to each human-computer interaction task, K = 1 / ln(N), and a ij is the j-th evaluation metric corresponding to the i-th human-computer interaction task.

[0033] On the other hand, the present invention also provides the following technical solution:

[0034] A device for determining the complexity of a human-computer interaction task, comprising:

[0035] An acquisition module for acquiring the target parameters corresponding to each human-computer interaction task in multiple human-computer interaction tasks;

[0036] A determination module for determining multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters;

[0037] A calculation module for calculating the complexity of each human-computer interaction task according to the evaluation metrics corresponding to multiple human-computer interaction tasks;

[0038] The target parameters include multiple ones among the number of interaction steps of the human-computer interaction task in this product, the questionnaire score, the operation duration parameter when the user operates the human-computer interaction task, the success rate parameter, and the eye attention screen duration parameter.

[0039] On the other hand, the present invention also provides the following technical solutions:

[0040] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the above-mentioned method for determining the complexity of any human-computer interaction task is implemented.

[0041] On the other hand, the present invention also provides the following technical solutions:

[0042] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for determining the complexity of any human-computer interaction task is implemented.

[0043] One or more technical solutions provided by the present invention have at least the following technical effects or advantages:

[0044] The target parameters of the present invention include multiple ones among the number of interaction steps of the human-computer interaction task in this product, the questionnaire score, the operation duration parameter for the user to complete the human-computer interaction task, the success rate parameter, and the eye attention screen duration parameter. The target parameters are parameters that can reflect the complexity of the human-computer interaction task. According to the target parameters, multiple evaluation indicators corresponding to the human-computer interaction task are determined. According to the evaluation indicators corresponding to multiple human-computer interaction tasks, the complexity of each human-computer interaction task is calculated, and the complexity of the human-computer interaction task can be objectively and quantitatively determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0046] Figure 1 It is a flowchart of the method for determining the complexity of the human-computer interaction task in the embodiment of the present invention;

[0047] Figure 2 It is a schematic diagram of the questionnaire in the embodiment of the present invention;

[0048] Figure 3 It is a schematic diagram of the device for determining the complexity of the human-computer interaction task in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] In an embodiment of the present invention, by providing a method and device for determining the complexity of a human-computer interaction task, the technical problem of how to objectively and quantitatively determine the complexity of a human-computer interaction task is solved.

[0050] To better understand the technical solution of the present invention, the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0051] As Figure 1 shown, the method for determining the complexity of a human-computer interaction task in this embodiment includes:

[0052] Step S1, obtaining the target parameters corresponding to each human-computer interaction task in multiple human-computer interaction tasks;

[0053] Step S2, determining multiple evaluation indicators corresponding to the human-computer interaction task according to the target parameters;

[0054] Step S3, calculating the complexity of each human-computer interaction task according to the evaluation indicators corresponding to multiple human-computer interaction tasks;

[0055] The target parameters include multiple of the number of interaction steps of the human-computer interaction task in this product, the questionnaire score, the operation duration parameter for the user to complete the human-computer interaction task, the success rate parameter, and the eye attention screen duration parameter.

[0056] In the target parameters of this embodiment, the operation duration parameter can represent the operation duration when the user completes the human-computer interaction task, the success rate parameter can represent the success rate of the user completing the human-computer interaction task, and the eye attention screen duration parameter can represent the duration of the user's eyes focusing on the screen when completing the human-computer interaction task. It can be understood that the more interaction steps of the human-computer interaction task, the more complex the human-computer interaction task; the questionnaire score can be set such that the higher the score, the higher the dissatisfaction of the user with the human-computer interaction task, reflecting that the human-computer interaction task is more complex; the longer the operation duration represented by the operation duration parameter, the more complex the human-computer interaction task; the lower the task success rate represented by the success rate parameter, the more complex the human-computer interaction task; the longer the eye attention screen duration represented by the eye attention screen duration parameter, the more complex the human-computer interaction task; thus, the target parameter is a parameter that can reflect the complexity of the human-computer interaction task. By determining multiple evaluation indicators corresponding to the human-computer interaction task according to the target parameter and calculating the complexity of each human-computer interaction task according to the evaluation indicators corresponding to multiple human-computer interaction tasks, the complexity of the human-computer interaction task can be objectively and quantitatively determined.

[0057] For each human-computer interaction task, this embodiment collects the target parameters corresponding to this human-computer interaction task in this product and competing products. This product and competing products can be products such as vehicles and mobile phones. The operation duration parameter can include the actual operation duration for the user to complete the human-computer interaction task of this product, the minimum operation duration and the maximum operation duration for the user to complete the human-computer interaction tasks of this product and competing products. The actual operation duration for the user to complete the human-computer interaction tasks of this product and competing products includes the actual operation duration for the user to complete the human-computer interaction task of this product and the actual operation duration for the user to complete the human-computer interaction task of each competing product. The minimum operation duration and the maximum operation duration are selected from multiple actual operation durations. The success rate parameter can include the actual success rate for the user to complete the human-computer interaction task of this product and the lowest success rate for the user to complete the human-computer interaction tasks of this product and competing products. The actual success rate for the user to complete the human-computer interaction tasks of this product and competing products includes the actual success rate for the user to complete the human-computer interaction task of this product and the actual success rate for the user to complete the human-computer interaction task of each competing product. The lowest success rate is selected from multiple actual success rates. Of course, the highest success rate is 100%. The eye attention screen duration parameter can include the actual eye attention screen duration when the user completes the human-computer interaction task of this product, the minimum eye attention screen duration and the maximum eye attention screen duration when the user completes the human-computer interaction tasks of this product and competing products. The actual eye attention screen duration when the user completes the human-computer interaction tasks of this product and competing products includes the actual eye attention screen duration when the user completes the human-computer interaction task of this product and the actual eye attention screen duration when the user completes the human-computer interaction task of each competing product. The minimum eye attention screen duration and the maximum eye attention screen duration are selected from multiple actual eye attention screen durations.

[0058] In this embodiment, the target parameters can include only 4 parameters, namely the number of interaction steps, the operation duration parameter, the success rate parameter, and the questionnaire score. Or they can include only 4 parameters, namely the number of interaction steps, the operation duration parameter, the success rate parameter, and the eye attention screen duration parameter. Or they can include only 4 parameters, namely the operation duration parameter, the success rate parameter, the questionnaire score, and the eye attention screen duration parameter. Or they can include 5 parameters, namely the number of interaction steps, the operation duration parameter, the success rate parameter, the questionnaire score, and the eye attention screen duration parameter.

[0059] In the following, an example will be given with the target parameters including 5 parameters, namely the number of interaction steps, the operation duration parameter, the success rate parameter, the questionnaire score, and the eye attention screen duration parameter. Step S2 can determine 4 evaluation indicators corresponding to this human-computer interaction task according to the 5 parameters corresponding to each human-computer interaction task. Of course, if the target parameters are different, the number of determined evaluation indicators is also different, and the number of evaluation indicators can be 2, 3, or 4.

[0060] Step S2 may include: determining the interaction step score according to the number of interaction steps; determining the questionnaire score according to the questionnaire score; according to the formula calculate the first evaluation index, where s is the interaction step score, t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the minimum success rate, and f is the questionnaire score.

[0061] Among them, if the number of interaction steps does not exceed 5, the interaction step score can be directly determined as the number of interaction steps; if the number of interaction steps exceeds 5, the interaction step score is determined as 5, so the larger the number of interaction steps, the more complex the human-computer interaction task can be represented. The questionnaire is as Figure 2 shown, including 3 questions. The user can select a score for each question. If the questionnaire score of a single question does not exceed 5, the questionnaire score of the single question can be directly determined as its questionnaire score; if the questionnaire score of a single question exceeds 5, the questionnaire score of the single question is determined as 5. The final questionnaire score is the average value of the questionnaire scores of all questions, so the larger the final questionnaire score, the more complex the human-computer interaction task can be represented.

[0062] For a single human-computer interaction task, in this embodiment, it is set that the minimum operation duration of the user to complete this human-computer interaction task in this product and the competing product corresponds to a score of 1, the maximum operation duration corresponds to a score of 5, the highest success rate of 100% corresponds to a score of 1, and the lowest success rate corresponds to a score of 5. Then the score corresponding to the actual operation duration of the user to complete a certain human-computer interaction task of this product is The score corresponding to the actual success rate is The formula The evaluation index calculated reflects the complexity of the logical structure of the human-computer interaction task.

[0063] Step S2 may also include: determining the interaction step score according to the number of interaction steps; according to the formula calculate the second evaluation index. The formula The evaluation index calculated reflects the number of actions required to complete the human-computer interaction task.

[0064] Step S2 may also include: determining the questionnaire score according to the questionnaire score; according to the formula calculate the third evaluation index. The formula The evaluation index calculated reflects the knowledge level and cognitive amount required to complete the human-computer interaction task.

[0065] Step S2 may also include: according to the formula calculate the fourth evaluation index, where T is the actual duration of the eyes focusing on the screen, m4 is the minimum duration of the eyes focusing on the screen, and m5 is the maximum duration of the eyes focusing on the screen.

[0066] For a single human-computer interaction task, in this embodiment, when setting the scores corresponding to the minimum and maximum durations of the user's eyes focusing on the screen when completing this human-computer interaction task on this product and competing products, the score corresponding to the actual duration of the user's eyes focusing on the screen when completing a certain human-computer interaction task on this product is Formula The calculated evaluation index reflects the complexity of the interface layout of the human-computer interaction task.

[0067] After calculating the four evaluation indexes corresponding to each human-computer interaction task according to the four formulas in the above text, it is necessary to perform normalization processing on each evaluation index. The normalization formula is:

[0068]

[0069] a ij is the j-th evaluation index corresponding to the i-th human-computer interaction task, and a′ ij is the value after normalizing a ij . i = 1,..., N; j = 1,..., n; N is the number of human-computer interaction tasks, and n is the number of evaluation indexes corresponding to each human-computer interaction task. In this embodiment, n = 4. For the convenience of calculation, a′ ij will still be denoted as a ij in the following text.

[0070] In step S3, first calculate the proportion of the j-th evaluation index corresponding to the i-th human-computer interaction task in the j-th evaluation index corresponding to all human-computer interaction tasks. The formula is as follows:

[0071]

[0072] Then calculate the entropy value of the j-th evaluation index. The formula is as follows:

[0073]

[0074] Then calculate the difference coefficient of the entropy value of the j-th evaluation index, which characterizes its redundancy. The formula is as follows:

[0075] d j = 1 - e j ;

[0076] Then calculate the weight of the j-th evaluation index. The formula is as follows:

[0077]

[0078] Finally, calculate the complexity of the i-th human-computer interaction task. The formula is as follows:

[0079]

[0080] Finally, it can be obtained that:

[0081]

[0082] As Figure 3 shown, this embodiment also provides a device for determining the complexity of a human-computer interaction task, including:

[0083] An acquisition module, configured to acquire target parameters corresponding to each human-computer interaction task in multiple human-computer interaction tasks;

[0084] A determination module, configured to determine multiple evaluation indicators corresponding to the human-computer interaction task according to the target parameters;

[0085] A calculation module, configured to calculate the complexity of each human-computer interaction task according to the evaluation indicators corresponding to multiple human-computer interaction tasks; the target parameters include multiple of the number of interaction steps, questionnaire score, operation duration parameter, success rate parameter, and eye attention screen duration parameter of the human-computer interaction task in this product.

[0086] Further, the operation duration parameter may include the actual operation duration for the user to complete the human-computer interaction task of this product, the minimum operation duration and the maximum operation duration for the user to complete the human-computer interaction tasks of this product and competing products;

[0087] The success rate parameter may include the actual success rate for the user to complete the human-computer interaction task of this product and the lowest success rate for the user to complete the human-computer interaction tasks of this product and competing products;

[0088] The eye attention screen duration parameter may include the actual eye attention screen duration for the user to complete the human-computer interaction task of this product, the minimum eye attention screen duration and the maximum eye attention screen duration for the user to complete the human-computer interaction tasks of this product and competing products.

[0089] Further, the target parameters may include the number of interaction steps, operation duration parameter, success rate parameter, and questionnaire score;

[0090] The determination module may also be configured to: determine the interaction step score according to the number of interaction steps; determine the questionnaire score according to the questionnaire score; according to the formula calculate one of the evaluation indicators, where s is the interaction step score, t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the lowest success rate, and f is the questionnaire score.

[0091] Further, the target parameters may include the number of interaction steps and operation duration parameter;

[0092] The determination module may also be configured to: determine the interaction step score according to the number of interaction steps; according to the formula Calculate one of the evaluation metrics.

[0093] Furthermore, the target parameters may include an operation duration parameter, a success rate parameter, and a questionnaire score;

[0094] The determination module can also be used to: determine the questionnaire score according to the questionnaire score; according to the formula Calculate one of the evaluation metrics.

[0095] Furthermore, the target parameters may include an operation duration parameter, a success rate parameter, and an eye screen fixation duration parameter; the determination module can also be used to: according to the formula Calculate one of the evaluation metrics, where T is the actual eye screen fixation duration, m4 is the minimum eye screen fixation duration, and m5 is the maximum eye screen fixation duration.

[0096] Furthermore, the calculation module calculates the complexity of each human-computer interaction task according to the evaluation metrics corresponding to multiple human-computer interaction tasks, which may include:

[0097]

[0098] i = 1,..., N;

[0099] j = 1,..., n;

[0100] s i is the complexity of the i-th human-computer interaction task, N is the number of human-computer interaction tasks, n is the number of evaluation metrics corresponding to each human-computer interaction task, K = 1 / ln(N), a ij is the j-th evaluation metric corresponding to the i-th human-computer interaction task.

[0101] Based on the same inventive concept as the human-computer interaction task complexity determination method described above, this embodiment also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps of any of the methods of the human-computer interaction task complexity determination method described above.

[0102] Among them, for the bus architecture (represented by a bus), the bus may include any number of interconnected buses and bridges, which link together various circuits including one or more processors represented by the processor and a memory represented by the memory. The bus may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, etc., which are well known in the art, and thus will not be further described herein. The bus interface provides an interface between the bus and the receiver and transmitter. The receiver and transmitter may be the same component, i.e., a transceiver, which provides a unit for communicating with various other devices over the transmission medium. The processor is responsible for managing the bus and general processing, while the memory may be used to store data used by the processor when performing operations.

[0103] Since the electronic device introduced in this embodiment is the electronic device adopted for implementing the method for determining the complexity of human-computer interaction tasks in the embodiments of the present invention, based on the method for determining the complexity of human-computer interaction tasks introduced in the embodiments of the present invention, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment. Therefore, the implementation of how this electronic device implements the method in the embodiments of the present invention will not be described in detail herein. As long as those skilled in the art implement the electronic device adopted for the method for determining the complexity of human-computer interaction tasks in the embodiments of the present invention, it falls within the scope of protection of the present invention.

[0104] Based on the same inventive concept as the above method for determining the complexity of human-computer interaction tasks, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements any of the above methods for determining the complexity of human-computer interaction tasks.

[0105] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0106] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general purpose computers, special purpose computers, embedded processors, or other programmable data processing devices to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in the flow Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in a block or multiple blocks.

[0107] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in the flow Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in a block or multiple blocks.

[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the flow Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in a block or multiple blocks.

[0109] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concepts. Therefore, the appended claims are intended to be construed to include the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0110] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A method for determining the complexity of a human-computer interaction task, characterized in that, Including: Obtaining target parameters corresponding to each of the multiple human-computer interaction tasks; Determining multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters; Calculating the complexity of each human-computer interaction task according to the evaluation metrics corresponding to the multiple human-computer interaction tasks; The target parameters include the number of interaction steps of the human-computer interaction task, the questionnaire score, the operation duration parameter of the user to complete the human-computer interaction task, the success rate parameter, and the eye fixation duration parameter on the screen; the success rate parameter is used to characterize the success rate of the user to complete the human-computer interaction task, and the operation duration parameter includes the actual operation duration of the user to complete the human-computer interaction task, the minimum operation duration of the user to complete the human-computer interaction task in similar products, and the maximum operation duration; the success rate parameter includes the actual success rate of the user to complete the human-computer interaction task and the lowest success rate of the user to complete the human-computer interaction task in similar products; The determining multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters includes: Determining the interaction step score according to the number of interaction steps; Determining the questionnaire score according to the questionnaire score; According to the formula calculate one of the evaluation indicators, where s is the interaction step score, t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the lowest success rate, and f is the questionnaire score.

2. The method for determining the complexity of a human-computer interaction task according to claim 1, wherein The eye fixation duration parameter on the screen includes the actual eye fixation duration on the screen when the user completes the human-computer interaction task, the minimum eye fixation duration on the screen when the user completes the human-computer interaction task in similar products, and the maximum eye fixation duration on the screen.

3. The method for determining the complexity of the human-computer interaction task according to claim 2, wherein, The determining multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters includes: Determining the interaction step score according to the number of interaction steps; According to the formula calculate one of the said evaluation indicators, where s is the interaction step score, t is the actual operation duration, m1 is the minimum operation duration, and m2 is the maximum operation duration.

4. The method for determining the complexity of a human-computer interaction task according to claim 2, wherein, The determining multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters includes: Determining the questionnaire score according to the questionnaire score; According to the formula calculate one of the evaluation indicators, where t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the lowest success rate, and f is the questionnaire score.

5. The method for determining the complexity of a human-computer interaction task according to claim 2, wherein The determining multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters includes: According to the formula calculate one of the evaluation indicators, where t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the lowest success rate, T is the actual duration of the eyes focusing on the screen, m4 is the minimum duration of the eyes focusing on the screen, and m5 is the maximum duration of the eyes focusing on the screen.

6. The method for determining the complexity of a human-computer interaction task according to claim 1, wherein, The calculating the complexity of each human-computer interaction task according to the evaluation metrics corresponding to the multiple human-computer interaction tasks includes: i = 1,..., N; j = 1,..., n; where s i is the complexity of the i-th human-computer interaction task, N is the number of the human-computer interaction tasks, n is the number of the evaluation indicators corresponding to each human-computer interaction task, K = 1 / ln(N), a ij is the j-th evaluation indicator corresponding to the i-th human-computer interaction task.

7. A device for determining the complexity of a human-computer interaction task, characterized in that, Including: An obtaining module, configured to obtain target parameters corresponding to each of the multiple human-computer interaction tasks; A determining module, configured to determine multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters; A calculating module, configured to calculate the complexity of each human-computer interaction task according to the evaluation metrics corresponding to the multiple human-computer interaction tasks; The target parameters include multiple ones of the number of interaction steps of the human-computer interaction task, the questionnaire score, the operation duration parameter when the user operates the human-computer interaction task, the success rate parameter, and the eye fixation duration parameter on the screen; the operation duration parameter includes the actual operation duration of the user to complete the human-computer interaction task, the minimum operation duration of the user to complete the human-computer interaction task in similar products, and the maximum operation duration; the success rate parameter includes the actual success rate of the user to complete the human-computer interaction task and the lowest success rate of the user to complete the human-computer interaction task in similar products; The determining multiple evaluation metrics corresponding to the human-computer interaction task according to the target parameters includes: Determine the interaction step score according to the number of the interaction steps; Determine the questionnaire score according to the score of the questionnaire; According to the formula calculate one of the said evaluation indicators, where s is the interaction step score, t is the actual operation duration, m1 is the minimum operation duration, m2 is the maximum operation duration, p is the actual success rate, m3 is the lowest success rate, and f is the questionnaire score.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for determining the complexity of the human-computer interaction task according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium. When the computer program is executed by the processor, it implements the method for determining the complexity of the human-computer interaction task according to any one of claims 1-6.

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