Intelligent cabin multi-mode function quantitative evaluation method, device, equipment and medium

Abstract

The invention discloses an intelligent cabin multi-mode function quantitative evaluation method, device and equipment and a medium, and belongs to the technical field of automobiles. The intelligent cabin multi-modal function quantitative evaluation method comprises the following steps: for a first-level index in a to-be-evaluated item of an intelligent cabin, obtaining a customer perception importance degree corresponding to the first-level index, a first relation degree between the first-level index and a second-level index, and a first subjective score of the second-level index corresponding to the first-level index; determining a product competitiveness score of the first-level index based on the first relation degree and the first subjective score; the customer perception importance and the product competitiveness score of all the first-level indexes are integrated, the product competitiveness score of the intelligent cabin is determined, the mode that subjective evaluation and objective evaluation are combined can be adopted, quantitative evaluation is conducted on the multi-modal function of the intelligent cabin, and the accuracy of the evaluation result is improved.

Description

Technical Field

[0001] The present application relates to the field of automobile technology, and in particular to a method, device, equipment and computer-readable storage medium for quantitatively evaluating multi-modal functions of an intelligent cockpit. Background Art

[0002] With the rapid development of multimodal interaction technology in smart cockpits, it has become an "intelligent mobile space" that integrates social interaction, entertainment, family, and work. However, as the functions of smart cockpits increase, more and more problems arise, such as misidentification of the vehicle computer, slow response, black screen, freeze, etc., resulting in low user satisfaction. How to accurately evaluate the multimodal functions of smart cockpits has become an urgent problem to be solved. In related technologies, car companies evaluate the multimodal functions of smart cockpits in model cars or prototypes in a subjective evaluation manner. However, this evaluation method relies on the personal experience of relevant personnel. Different users may have large differences in the experience of the same function, resulting in inconsistent evaluation results and inability to objectively quantify. Summary of the invention

[0003] The present application provides a method, device, equipment and computer-readable storage medium for quantitative evaluation of the multimodal functions of a smart cockpit, which can solve technical problems existing in the prior art such as high dependence on relevant personnel and inability to objectively quantify evaluation results when quantitatively evaluating the multimodal functions of a smart cockpit.

[0004] In a first aspect, an embodiment of the present application provides a method for quantitatively evaluating multimodal functions of a smart cockpit, and the method for quantitatively evaluating multimodal functions of a smart cockpit includes:

[0005] For the first-level indicator in the smart cockpit to be evaluated project, obtain the customer perceived importance corresponding to the first-level indicator, the first relationship between the first-level indicator and the second-level indicator, and the first subjective score of the second-level indicator corresponding to the first-level indicator;

[0006] Determining a product competitiveness score of the primary indicator based on the first relationship degree and the first subjective score;

[0007] The product competitiveness score of the smart cockpit is determined by comprehensively considering the customer perceived importance and product competitiveness scores of all first-level indicators.

[0008] In combination with the first aspect, in one implementation, the product competitiveness score of the primary indicator is determined based on the first relationship and the first subjective score, and the corresponding formula is:

[0009]

[0010] Among them, m j is the product competitiveness score of the jth first-level indicator, r jiis the first relationship between the jth first-level indicator and the i-th second-level indicator, p ji It is the first subjective score of the i-th secondary indicator corresponding to the j-th primary indicator.

[0011] In combination with the first aspect, in one implementation, the customer perceived importance and product competitiveness scores of all primary indicators are integrated to determine the product competitiveness score of the smart cockpit, and the corresponding formula is:

[0012]

[0013] Among them, c is the product competitiveness score of the smart cockpit, k is j is the customer perceived importance of the jth first-level indicator, m j is the product competitiveness score of the j-th first-level indicator.

[0014] In combination with the first aspect, in one implementation, the method further includes:

[0015] For the secondary indicators in the smart cockpit to be evaluated project, obtain the importance of the perceptual characteristics corresponding to the secondary indicator, the second relationship between the secondary indicator and the primary indicator, and the second subjective score of the primary indicator corresponding to the secondary indicator;

[0016] Determining a perceived characteristic competitiveness score of the secondary indicator based on the second relationship degree and the second subjective score;

[0017] The perceived characteristic competitiveness score of the smart cockpit is determined by comprehensively considering the perceived characteristic importance and perceived characteristic competitiveness scores of all secondary indicators.

[0018] In combination with the first aspect, in one implementation, the perceived characteristic competitiveness score of the secondary indicator is determined based on the second relationship degree and the second subjective score, and the corresponding formula is:

[0019]

[0020] Among them, t i is the perceived characteristic competitiveness score of the i-th secondary indicator, r ji is the second relationship between the i-th secondary index and the j-th primary index, p ji is the second subjective score of the jth first-level indicator corresponding to the ith second-level indicator.

[0021] In combination with the first aspect, in one implementation, the perceived characteristic importance and perceived characteristic competitiveness scores of all secondary indicators are integrated to determine the perceived characteristic competitiveness score of the smart cockpit, and the corresponding formula is:

[0022]

[0023] Where q is the competitiveness score of the perception characteristics of the smart cockpit, h i is the perceived characteristic importance of the i-th secondary indicator, t i is the perceived characteristic competitiveness score of the i-th secondary indicator.

[0024] In a second aspect, an embodiment of the present application provides a smart cockpit multimodal function quantitative evaluation device, the smart cockpit multimodal function quantitative evaluation device comprising:

[0025] An acquisition module is used to acquire, for a first-level indicator in the smart cockpit to be evaluated project, the customer perceived importance corresponding to the first-level indicator, the first relationship between the first-level indicator and the second-level indicator, and the first subjective score of the second-level indicator corresponding to the first-level indicator;

[0026] A first determination module, configured to determine a product competitiveness score of the primary indicator based on the first relationship degree and the first subjective score;

[0027] The second determination module is used to comprehensively consider the customer perceived importance and product competitiveness scores of all primary indicators to determine the product competitiveness score of the smart cockpit.

[0028] In conjunction with the second aspect, in one implementation, the first determination module is specifically configured to determine the product competitiveness score of the primary indicator according to the following formula:

[0029]

[0030] Among them, m j is the product competitiveness score of the jth first-level indicator, r ji is the first relationship between the jth first-level indicator and the i-th second-level indicator, p ji It is the first subjective score of the i-th secondary indicator corresponding to the j-th primary indicator.

[0031] In a third aspect, an embodiment of the present application provides a smart cockpit multimodal functional quantitative evaluation device, the smart cockpit multimodal functional quantitative evaluation device comprising a processor, a memory, and a smart cockpit multimodal functional quantitative evaluation program stored in the memory and executable by the processor, wherein when the smart cockpit multimodal functional quantitative evaluation program is executed by the processor, the steps of the smart cockpit multimodal functional quantitative evaluation method as described in any one of the first aspects are implemented.

[0032] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which is stored a smart cockpit multimodal function quantitative evaluation program. When the smart cockpit multimodal function quantitative evaluation program is executed by a processor, the steps of the smart cockpit multimodal function quantitative evaluation method as described in any one of the first aspects are implemented.

[0033] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0034] For the first-level indicators in the smart cockpit to be evaluated, the customer perceived importance corresponding to the first-level indicator, the first relationship between the first-level indicator and the second-level indicator, and the first subjective score of the second-level indicator corresponding to the first-level indicator are obtained; further based on the first relationship and the first subjective score, the product competitiveness score of the first-level indicator is determined; then the customer perceived importance and product competitiveness scores of all first-level indicators are combined to determine the product competitiveness score of the smart cockpit. This can achieve a quantitative evaluation of the multimodal functions of the smart cockpit by combining subjective and objective evaluations, thereby improving the accuracy of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of a quality function deployment house of quality provided for one embodiment of the present application;

[0036] Figure 2 This is a flow chart of the first embodiment of the method for quantitatively evaluating multi-modal functions of a smart cockpit of the present application;

[0037] Figure 3 A schematic diagram of a perceptual quality evaluation model provided for an embodiment of the present application;

[0038] Figure 4 This is a functional module diagram of an embodiment of a device for quantitatively evaluating multi-modal functions of a smart cockpit of the present application;

[0039] Figure 5 This is a schematic diagram of the hardware structure of the intelligent cockpit multi-modal function quantitative evaluation equipment involved in the embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] This application involves a quantitative evaluation method for multimodal functions of intelligent cockpits, mainly for the quantitative evaluation of multimodal functions at different stages in the vehicle development process. The different stages in the vehicle development process mainly include the engineering release stage, the small batch trial production ET stage, and the ramp-up PT stage.

[0042] During the project release phase, multimodal functions can be realized through the construction of driving simulators through phased products, and pre-evaluation and optimization can be carried out. Specifically, the corresponding components can be installed in the specified position of the test bench, the UI / UE design draft can be imported into the test bench, and the signal can be connected to the test bench system. The UI / UE screen dynamic effect changes or prompt sounds can be linked through the component functions, and the components can be activated through the UI / UE screen operation to realize the corresponding functions. In the function realization link, subjects are added, and some physiological indicators of the subjects are collected as objective data for evaluation. After completing the task, the subjects complete the corresponding scale and score. After combining the subjective and objective data, problems are found and corresponding suggestions are put forward.

[0043] From the ET to the PT stage, the multimodal functions of the cockpit can be experienced in real cars at different stages through model cars or prototype cars, and then problems can be found and solved to achieve the purpose of improving user experience. Specifically, the function experience can be carried out on the real car, and the eye tracker and physiological instrument can be worn on the subjects to collect the changes in physiological data generated when the subjects observe and experience the multimodal functions of the car, and observe the real physiological reactions of the subjects through data comparison. After completing the experience task, the subjects complete the corresponding scale and score. After combining the subjective and objective data, the user's experience of this function can be accurately and deeply excavated.

[0044] This application conducts multi-dimensional quantitative subjective and objective evaluation of multimodal functions at different stages in the vehicle development process, and determines the weights of indicators at each level through Quality Function Deployment (QFD). It establishes a smart cockpit evaluation system model for the perceptual quality evaluation model, realizes a comprehensive evaluation of the multimodal functions of the smart cockpit, and forms a standard evaluation system.

[0045] QFD is a multi-level deductive analysis method that converts customer requirements into design requirements, component characteristics, process requirements, and production requirements. It uses systematic technical means to ensure that customer needs can be fully met during product development, thereby improving customer satisfaction. Since the main tool of QFD is a matrix-like chart similar to a roof, it is figuratively referred to as the "quality house." Figure 1 A schematic diagram of a quality function deployment house of quality provided for one embodiment of the present application.

[0046] Based on the theoretical foundation of QFD quality function, a new perceived quality evaluation model and evaluation method are formulated and established to guide design and development. Based on the QFD quality function deployment principle and model, the customer's subjective concerns, areas of concern, locations and ways of concern are formulated, refined according to the degree of concern and sensitivity, and the technical elements of the perception field are decomposed and sorted out. After analysis at the practical application level, a perceived quality evaluation model tool is constructed. This model is used to evaluate and check during the design and development process, in order to achieve the goal of the final product meeting the customer's perceived needs.

[0047] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0048] In a first aspect, an embodiment of the present application provides a method for quantitatively evaluating the multimodal functions of a smart cockpit.

[0049] In one embodiment, referring to Figure 2 , Figure 2 This is a flow chart of the first embodiment of the method for quantitatively evaluating the multi-modal functions of the intelligent cockpit of this application. Figure 2 As shown in the figure, the quantitative evaluation method of multimodal functions of intelligent cockpit includes:

[0050] Step 210: for the first-level indicator in the smart cockpit to be evaluated item, obtain the customer perceived importance corresponding to the first-level indicator, the first relationship between the first-level indicator and the second-level indicator, and the first subjective score of the second-level indicator corresponding to the first-level indicator;

[0051] Establish a perceptual quality evaluation model in advance. When establishing the perceptual quality evaluation model, on the one hand, it is necessary to take the left wall customer's world attention area as the first-level indicator, and analyze and organize the left wall customer's world attention area. The first-level indicators include: central control screen, rear screen...account login, etc.; on the other hand, it is necessary to take the roof perception characteristics as the second-level indicators, and decompose and expand the roof perception characteristics. The second-level indicators include: hearing, vision, smell...operation quality, etc.

[0052] Figure 3 Schematic diagram of a perceived quality evaluation model provided for an embodiment of the present application. Determine the relationship between the perceived characteristics and the focus area r, and introduce the professional rating p in the relationship matrix to ensure the accuracy of the evaluation model, evaluate the importance k of the customer perception of the focus area, and estimate the perceived characteristics competitiveness t and the vehicle competitiveness q. Figure 3 , Figure 3 The row count is i=1-n, the column count is j=1-m, and the corresponding parameters are: relationship degree r ji , Professionals’ subjective ratings ji , Perceptual feature importance h i, perceived characteristic competitiveness i , vehicle characteristic competitiveness q, customer perceived importance k j , Product competitiveness evaluation j and vehicle product competitiveness c.

[0053] Figure 3 In the above table, customer perceived importance k i (i=1,2,....n) and the perceived characteristic importance h i The evaluation method of (i=1,2,....n) can refer to the following Table 1 Customer Demand Importance Evaluation Table. After stratification by affinity diagram method, the customer perceived importance and perceived characteristic importance are obtained through hierarchical analysis method.

[0054] Table 1 Customer demand importance evaluation table

[0055]

[0056] Figure 3 The subjective scoring in the experiment is achieved by convening experts from various departments to explain the problem concisely and clearly to all participating experts. The relationship between the formed perceptual features and the focus areas is scored in the form of an expert group. The expert group members follow the rules of the activity to introduce professional scoring, and score the focus areas and perceptual features. The score definitions are shown in Table 2.

[0057] Table 2 Subjective scoring evaluation table

[0058]

[0059] Figure 3 The relationship between the first-level indicators and the second-level indicators is determined based on the user demand and perception feature correlation matrix. The user demand and perception feature correlation matrix is ​​one of the core tools of the QFD method. It is used to clarify the relationship between customer needs and technical requirements. The correlation matrix can be established through the following steps:

[0060] (1) Understand customer needs: First, collect and analyze customer needs through market research and user feedback, including functional requirements, quality requirements, layout area requirements, etc.

[0061] (2) Convert into product characteristics: According to customer needs, convert them into specific product characteristics, such as functional characteristics, performance characteristics, appearance characteristics, perception characteristics, etc.

[0062] (3) Create a correlation matrix: Create a matrix that lists customer needs in the vertical columns and technical requirements in the horizontal columns. Each cell in the matrix represents the degree of relationship between a need and a technical requirement.

[0063] (4) Evaluate the degree of relationship: Fill in the degree of relationship in the matrix, usually using a rating system of 1 to 5 to indicate the closeness of the relationship using Table 3. For example, 5 indicates a very close relationship and 1 indicates almost no relationship.

[0064] Table 3 Relationship score evaluation table

[0065]

[0066] In specific implementation, Figure 3 The first-level indicators such as the central control screen and the rear screen in the intelligent cockpit to be evaluated in the perceived quality evaluation model are used to obtain the customer perceived importance k corresponding to the first-level indicator. i , the first relationship between the first-level index and the second-level index r ji , the first subjective score p of the second-level indicator corresponding to the first-level indicator ji .

[0067] Step 220: Determine the product competitiveness score of the primary indicator based on the first relationship degree and the first subjective score;

[0068] The first relationship degree is predetermined based on multiple factors for the primary index and the secondary index and is considered to exist objectively. By performing correlation operations on the first relationship degree and the first subjective score, the product competitiveness score of the primary index can be obtained, so as to evaluate the product competitiveness of the primary index such as the central control screen and the rear screen from the perspective of combining subjective and objective evaluations.

[0069] Furthermore, in one embodiment, the product competitiveness score of the first-level indicator is determined based on the first relationship and the first subjective score, and the corresponding formula is:

[0070]

[0071] Among them, m j is the product competitiveness score of the jth first-level indicator, r ji is the first relationship between the jth first-level indicator and the i-th second-level indicator, p ji It is the first subjective score of the i-th secondary indicator corresponding to the j-th primary indicator.

[0072] The product competitiveness assessment of each first-level indicator is the bridge connecting customer demand, product design, and market performance in QFD. Through this assessment, companies can understand the market and customers more comprehensively, formulate effective product strategies, and thus succeed in the highly competitive market.

[0073] Step 230: Determine the product competitiveness score of the smart cockpit by integrating the customer perceived importance and product competitiveness scores of all primary indicators.

[0074] In specific implementation, the product competitiveness score of the smart cockpit can be obtained by performing relevant calculations on the customer-perceived importance and product competitiveness scores of all first-level indicators.

[0075] Furthermore, in one embodiment, the customer perceived importance and product competitiveness scores of all primary indicators are integrated to determine the product competitiveness score of the smart cockpit, and the corresponding formula is:

[0076]

[0077] Among them, c is the product competitiveness score of the smart cockpit, k is j is the customer perceived importance of the jth first-level indicator, m j is the product competitiveness score of the j-th first-level indicator.

[0078] The product competitiveness score of the smart cockpit is the competitiveness score of the vehicle product. The evaluation of the competitiveness of the vehicle product is the key to the success of automobile companies in the fierce market competition. Through this evaluation, companies can have a more comprehensive understanding of the market and customers, formulate effective product strategies, and thus gain advantages in the market.

[0079] In this embodiment, for the first-level indicator in the smart cockpit evaluation project, the customer perceived importance corresponding to the first-level indicator, the first relationship between the first-level indicator and the second-level indicator, and the first subjective score of the second-level indicator corresponding to the first-level indicator are obtained; further based on the first relationship and the first subjective score, the product competitiveness score of the first-level indicator is determined; then, the customer perceived importance and product competitiveness scores of all first-level indicators are combined to determine the product competitiveness score of the smart cockpit. This can achieve a quantitative evaluation of the multimodal functions of the smart cockpit by combining subjective and objective evaluations, thereby improving the accuracy of the evaluation results.

[0080] Furthermore, in one embodiment, the method further includes:

[0081] Step 310: for the secondary indicator in the smart cockpit to be evaluated project, obtain the perceived characteristic importance corresponding to the secondary indicator, the second relationship between the secondary indicator and the primary indicator, and the second subjective score of the primary indicator corresponding to the secondary indicator;

[0082] In specific implementation, Figure 3 The secondary indicators of hearing, vision, smell, etc. in the intelligent cockpit to be evaluated in the perceptual quality evaluation model are used to obtain the perceptual characteristic importance h corresponding to the secondary indicator. i , the second relationship between the secondary index and the primary index r ji , the second subjective score p of the first-level indicator corresponding to the second-level indicator ji .

[0083] It should be noted that the second relationship degree and the first relationship degree are the same value, and the second subjective score and the first subjective score are also the same value.

[0084] Step 320: Determine the perceived characteristic competitiveness score of the secondary indicator based on the second relationship degree and the second subjective score;

[0085] The second relationship degree is predetermined for the secondary index and the primary index based on multiple factors and is considered to exist objectively. By performing correlation operations on the second relationship degree and the second subjective score, the perception characteristic competitiveness score of the secondary index can be obtained, so as to evaluate the perception characteristic competitiveness of the secondary indexes such as hearing, vision, and smell from the perspective of combining subjective and objective evaluations.

[0086] Further, in one embodiment, the perceived characteristic competitiveness score of the secondary indicator is determined based on the second relationship degree and the second subjective score, and the corresponding formula is:

[0087]

[0088] Among them, t i is the perceived characteristic competitiveness score of the i-th secondary indicator, r ji is the second relationship between the i-th secondary index and the j-th primary index, p ji is the second subjective score of the jth first-level indicator corresponding to the ith second-level indicator.

[0089] Perceived characteristic competitiveness is an important output in QFD. It helps enterprises transform the voice of customers into specific product or service characteristics, thereby achieving consistency between customer needs and corporate goals. By continuously optimizing perceived characteristic competitiveness, enterprises can improve market competitiveness, increase customer value, and achieve sustainable development.

[0090] Step 330: The perceived characteristic importance and perceived characteristic competitiveness scores of all secondary indicators are integrated to determine the perceived characteristic competitiveness score of the smart cockpit.

[0091] In specific implementation, the perceived characteristic competitiveness score of the smart cockpit can be obtained by performing relevant operations on the perceived characteristic importance and perceived characteristic competitiveness scores of all secondary indicators.

[0092] Furthermore, in one embodiment, the perceived characteristic importance and perceived characteristic competitiveness scores of all secondary indicators are integrated to determine the perceived characteristic competitiveness score of the smart cockpit, and the corresponding formula is:

[0093]

[0094] Where q is the competitiveness score of the perception characteristics of the smart cockpit, h i is the perceived characteristic importance of the i-th secondary indicator, t i is the perceived characteristic competitiveness score of the i-th secondary indicator.

[0095] The perceived competitiveness of the whole vehicle is the key link between customer needs and product design in the QFD method. It requires companies to not only focus on individual characteristics, but also consider how these characteristics work together to form the comprehensive competitiveness of the whole vehicle. Through this method, companies can more systematically meet customer needs, improve product quality, and gain advantages in the fierce market competition.

[0096] In this embodiment, for the secondary indicators in the smart cockpit evaluation items, the importance of the perceptual characteristics corresponding to the secondary indicator, the second relationship between the secondary indicator and the primary indicator, and the second subjective score of the primary indicator corresponding to the secondary indicator are obtained; further based on the second relationship and the second subjective score, the perceptual characteristic competitiveness score of the secondary indicator is determined; then, the perceptual characteristic importance and perceptual characteristic competitiveness scores of all secondary indicators are combined to determine the perceptual characteristic competitiveness score of the smart cockpit. This can achieve a quantitative evaluation of the perceptual characteristic competitiveness of the smart cockpit by combining subjective and objective evaluations, thereby improving the accuracy of the evaluation results.

[0097] In a second aspect, an embodiment of the present application also provides a device for quantitatively evaluating the multi-modal functions of a smart cockpit.

[0098] In one embodiment, referring to Figure 4 , Figure 4 This is a functional module diagram of an embodiment of a device for quantitatively evaluating multi-modal functions of a smart cockpit according to the present application. Figure 4 As shown, the intelligent cockpit multi-modal function quantitative evaluation device 400 includes:

[0099] An acquisition module 410 is used to acquire, for a primary indicator in the smart cockpit evaluation project, a customer perceived importance corresponding to the primary indicator, a first relationship between the primary indicator and the secondary indicator, and a first subjective score of the secondary indicator corresponding to the primary indicator;

[0100] A first determination module 420, configured to determine a product competitiveness score of the primary indicator based on the first relationship degree and the first subjective score;

[0101] The second determination module 430 is used to comprehensively determine the customer perceived importance and product competitiveness scores of all primary indicators to determine the product competitiveness score of the smart cockpit.

[0102] Further, in one embodiment, the first determination module is specifically used to determine the product competitiveness score of the primary indicator according to the following formula:

[0103]

[0104] Among them, m j is the product competitiveness score of the jth first-level indicator, r ji is the first relationship between the jth first-level indicator and the i-th second-level indicator, p ji It is the first subjective score of the i-th secondary indicator corresponding to the j-th primary indicator.

[0105] Furthermore, in one embodiment, the second determination module is specifically used to determine the product competitiveness score of the smart cockpit according to the following formula:

[0106]

[0107] Among them, c is the product competitiveness score of the smart cockpit, k is j is the customer perceived importance of the jth first-level indicator, m j is the product competitiveness score of the j-th first-level indicator.

[0108] Furthermore, in one embodiment, the smart cockpit multimodal function quantitative evaluation device also includes a third determination module, and the third determination module is specifically used to: for the secondary indicators in the smart cockpit to be evaluated items, obtain the perceived characteristic importance corresponding to the secondary indicator, the second relationship between the secondary indicator and the primary indicator, and the second subjective score of the primary indicator corresponding to the secondary indicator; determine the perceived characteristic competitiveness score of the secondary indicator based on the second relationship and the second subjective score; and determine the perceived characteristic competitiveness score of the smart cockpit by comprehensively considering the perceived characteristic importance and perceived characteristic competitiveness scores of all secondary indicators.

[0109] Furthermore, in one embodiment, the third determination module is specifically used to determine the perceived characteristic competitiveness score of the secondary indicator according to the following formula:

[0110]

[0111] Among them, t i is the perceived characteristic competitiveness score of the i-th secondary indicator, r ji is the second relationship between the i-th secondary index and the j-th primary index, p ji is the second subjective score of the jth first-level indicator corresponding to the ith second-level indicator.

[0112] Furthermore, in one embodiment, the third determination module is specifically used to determine the perception characteristic competitiveness score of the smart cockpit according to the following formula:

[0113]

[0114] Where q is the competitiveness score of the perception characteristics of the smart cockpit, h i is the perceived characteristic importance of the i-th secondary indicator, t i is the perceived characteristic competitiveness score of the i-th secondary indicator.

[0115] Among them, the functional implementation of each module in the above-mentioned smart cockpit multimodal function quantitative evaluation device corresponds to the various steps in the above-mentioned smart cockpit multimodal function quantitative evaluation method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0116] In a third aspect, an embodiment of the present application provides a smart cockpit multimodal function quantitative evaluation device, which may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0117] Reference Figure 5 , Figure 5 The hardware structure diagram of the intelligent cockpit multimodal function quantitative evaluation device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the intelligent cockpit multimodal function quantitative evaluation device may include a processor, a memory, a communication interface, and a communication bus.

[0118] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0119] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the intelligent cockpit multimodal function quantitative evaluation equipment, and the interface used to realize the interconnection between the intelligent cockpit multimodal function quantitative evaluation equipment and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display (Display), a keyboard (Keyboard), etc.

[0120] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0121] The processor may be a general-purpose processor, which may call the intelligent cockpit multimodal function quantitative evaluation program stored in the memory and execute the intelligent cockpit multimodal function quantitative evaluation method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the intelligent cockpit multimodal function quantitative evaluation program is called may refer to the various embodiments of the intelligent cockpit multimodal function quantitative evaluation method of the present application, which will not be repeated here.

[0122] Those skilled in the art will understand that Figure 5 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0123] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0124] The computer-readable storage medium of the present application stores a smart cockpit multimodal function quantitative evaluation program, wherein when the smart cockpit multimodal function quantitative evaluation program is executed by a processor, the steps of the smart cockpit multimodal function quantitative evaluation method as described above are implemented.

[0125] Among them, the method implemented when the smart cockpit multimodal function quantitative evaluation program is executed can refer to the various embodiments of the smart cockpit multimodal function quantitative evaluation method of the present application, and will not be repeated here.

[0126] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0127] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0128] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0129] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0130] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0131] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0132] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for quantitatively evaluating the multimodal functions of an intelligent cockpit, characterized in that: The method for quantitatively evaluating the multimodal functions of the intelligent cockpit includes: For the first-level indicator in the smart cockpit to be evaluated project, obtain the customer perceived importance corresponding to the first-level indicator, the first relationship between the first-level indicator and the second-level indicator, and the first subjective score of the second-level indicator corresponding to the first-level indicator; Determining a product competitiveness score of the primary indicator based on the first relationship degree and the first subjective score; The product competitiveness score of the smart cockpit is determined by comprehensively considering the customer perceived importance and product competitiveness scores of all first-level indicators.

2. The method for quantitatively evaluating the multimodal functions of a smart cockpit according to claim 1, characterized in that: The product competitiveness score of the first-level indicator is determined based on the first relationship and the first subjective score, and the corresponding formula is: Among them, m j is the product competitiveness score of the jth first-level indicator, r ji is the first relationship between the jth first-level indicator and the i-th second-level indicator, p ji It is the first subjective score of the i-th secondary indicator corresponding to the j-th primary indicator.

3. The method for quantitatively evaluating the multimodal functions of a smart cockpit according to claim 1, characterized in that: The customer perceived importance and product competitiveness scores of all primary indicators are combined to determine the product competitiveness score of the smart cockpit. The corresponding formula is: Among them, c is the product competitiveness score of the smart cockpit, k is j is the customer perceived importance of the jth first-level indicator, m j is the product competitiveness score of the j-th first-level indicator.

4. The method for quantitatively evaluating the multimodal functions of a smart cockpit according to claim 1, characterized in that: The method further comprises: For the secondary indicators in the smart cockpit to be evaluated project, obtain the importance of the perceptual characteristics corresponding to the secondary indicator, the second relationship between the secondary indicator and the primary indicator, and the second subjective score of the primary indicator corresponding to the secondary indicator; Determining a perceived characteristic competitiveness score of the secondary indicator based on the second relationship degree and the second subjective score; The perceived characteristic competitiveness score of the smart cockpit is determined by comprehensively considering the perceived characteristic importance and perceived characteristic competitiveness scores of all secondary indicators.

5. The method for quantitatively evaluating the multimodal functions of a smart cockpit according to claim 4, characterized in that: The perceived characteristic competitiveness score of the secondary indicator is determined based on the second relationship degree and the second subjective score, and the corresponding formula is: Among them, t i is the perceived characteristic competitiveness score of the i-th secondary indicator, r ji is the second relationship between the i-th secondary index and the j-th primary index, p ji is the second subjective score of the jth first-level indicator corresponding to the ith second-level indicator.

6. The method for quantitatively evaluating the multimodal functions of a smart cockpit according to claim 4, characterized in that: The perception characteristic importance and perception characteristic competitiveness scores of all secondary indicators are integrated to determine the perception characteristic competitiveness score of the smart cockpit. The corresponding formula is: Where q is the competitiveness score of the perception characteristics of the smart cockpit, h i is the perceived characteristic importance of the i-th secondary indicator, t i is the perceived characteristic competitiveness score of the i-th secondary indicator.

7. A device for quantitatively evaluating the multimodal functions of an intelligent cockpit, characterized in that: The intelligent cockpit multi-modal function quantitative evaluation device comprises: An acquisition module is used to acquire, for a first-level indicator in the smart cockpit to be evaluated project, the customer perceived importance corresponding to the first-level indicator, the first relationship between the first-level indicator and the second-level indicator, and the first subjective score of the second-level indicator corresponding to the first-level indicator; A first determination module, configured to determine a product competitiveness score of the primary indicator based on the first relationship degree and the first subjective score; The second determination module is used to comprehensively consider the customer perceived importance and product competitiveness scores of all primary indicators to determine the product competitiveness score of the smart cockpit.

8. The method for quantitatively evaluating the multimodal functions of a smart cockpit according to claim 7, characterized in that: The first determination module is specifically used to determine the product competitiveness score of the first-level indicator according to the following formula: Among them, m j is the product competitiveness score of the jth first-level indicator, r ji is the first relationship between the jth first-level indicator and the i-th second-level indicator, p ji It is the first subjective score of the i-th secondary indicator corresponding to the j-th primary indicator.

9. A multi-modal function quantitative evaluation device for an intelligent cockpit, characterized in that: The smart cockpit multimodal function quantitative evaluation device includes a processor, a memory, and a smart cockpit multimodal function quantitative evaluation program stored in the memory and executable by the processor. When the smart cockpit multimodal function quantitative evaluation program is executed by the processor, the steps of the smart cockpit multimodal function quantitative evaluation method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a smart cockpit multimodal function quantitative evaluation program, wherein when the smart cockpit multimodal function quantitative evaluation program is executed by the processor, the steps of the smart cockpit multimodal function quantitative evaluation method as described in any one of claims 1 to 6 are implemented.

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