An information evaluation method and device, electronic equipment and storage medium

Abstract

The application provides an information evaluation method and device, electronic equipment and storage medium, relates to the field of information technology, and can determine the amount of head-up display (HUD) information suitable for users to view when driving, thereby ensuring the driving safety of the users. The method comprises the following steps: obtaining response data of a user to the head-up display (HUD) information in the process of the user performing simulation driving; determining a first index value, a second index value and a third index value according to the response data; wherein the first index value is used to evaluate the influence degree of the head-up display (HUD) information on driving behavior; the second index value is used to evaluate the influence degree of the head-up display (HUD) information on visual cognition; and the third index value is used to evaluate the influence degree of the head-up display (HUD) information on the subjective evaluation of the user; and determining an evaluation result of the head-up display (HUD) information according to the first index value, the second index value and the third index value.

Description

Technical Field

[0001] This application relates to the field of information technology, specifically to an information evaluation method, apparatus, electronic device, and storage medium. Background Technology

[0002] Heads-up display (HUD), also known as a head-up display system, projects important driving information such as speed and navigation onto the windshield in front of the user. This allows the user to see important driving information without looking down, avoiding driving safety issues caused by looking down to search for information and enabling the user to focus more on road conditions.

[0003] While HUDs do offer convenience to users to some extent, an inappropriate amount of information displayed on the windshield can have negative consequences. For example, excessive information can interfere with visual perception, causing users to focus on the displayed content for extended periods, leading to distraction and a narrowed field of vision. Therefore, determining the appropriate amount of information displayed on the HUD to prevent it from interfering with normal driving is a pressing issue that needs to be addressed. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and storage medium for evaluating the information content of HUD information, and then selecting an appropriate information content for HUD information. The specific technical solution provided by this application is as follows:

[0005] According to a first aspect provided in this application, a method for evaluating information is provided. The method includes: acquiring user response data to head-up display (HUD) information during simulated driving; determining a first index value, a second index value, and a third index value based on the response data; wherein the first index value is used to evaluate the degree of influence of the HUD information on driving behavior; the second index value is used to evaluate the degree of influence of the HUD information on visual cognition; the third index value is used to evaluate the degree of influence of the HUD information on the user's subjective evaluation; and determining the evaluation result of the HUD information based on the first index value, the second index value, and the third index value.

[0006] Based on the aforementioned technical means, three corresponding indicator values ​​are determined by the user's response data to HUD information during simulated driving. The evaluation result of the HUD information is then determined based on the indicator values. This eliminates the need to evaluate HUD information in real driving scenarios, ensuring user driving safety. Furthermore, evaluating HUD information based on multiple indicators makes the evaluation results more accurate.

[0007] In one possible implementation, the response data includes: braking reaction time, accuracy of driving behavior, reaction time to information changes, hit rate of information changes, reaction time to environmental changes, hit rate of environmental changes, subjective cognitive load, and subjective fitness. Based on the response data, a first indicator value, a second indicator value, and a third indicator value are determined, including: determining the first indicator value based on braking reaction time and accuracy of driving behavior; determining the second indicator value based on reaction time to information changes, hit rate of information changes, reaction time to environmental changes, and hit rate of environmental changes; and determining the third indicator value based on subjective cognitive load and subjective fitness.

[0008] Based on the aforementioned technical means, the corresponding indicator values ​​are determined by acquiring the response data, and the HUD information is evaluated from multiple aspects, thereby improving the accuracy of the HUD information evaluation results.

[0009] In one possible implementation, determining the evaluation result of the head-up display (HUD) information based on a first indicator value, a second indicator value, and a third indicator value includes: quantifying the first indicator value, quantizing the second indicator value, and quantizing the third indicator value to obtain a first quantized value corresponding to the first indicator value, a second quantized value corresponding to the second indicator value, and a third quantized value corresponding to the third indicator value; and performing weighted fusion of the first quantized value, the second quantized value, and the third quantized value to obtain the evaluation result of the head-up display (HUD) information.

[0010] Based on the above technical means, the three indicator values ​​are quantified, and the corresponding three quantified values ​​are weighted and melted to obtain the final evaluation result, making the evaluation result more accurate.

[0011] In one possible implementation, the method further includes: determining that the head-up display (HUD) information is at a first level when the evaluation result is greater than or equal to a first preset threshold; determining that the HUD information is at a second level when the evaluation result is greater than or equal to a second preset threshold and less than the first preset threshold; determining that the HUD information is at a third level when the evaluation result is greater than or equal to a third preset threshold and less than the second preset threshold; and determining that the HUD information is at a fourth level when the evaluation result is less than the third preset threshold; wherein the amount of information in the HUD information at the first level is greater than the amount of information in the HUD information at the second level; the amount of information in the HUD information at the second level is greater than the amount of information in the HUD information at the third level; and the amount of information in the HUD information at the third level is greater than the amount of information in the HUD information at the fourth level.

[0012] Based on the aforementioned technical means and the evaluation results, the information content level of the corresponding HUD information is determined. Then, based on the information content level, it is determined whether the information content of the HUD information is suitable for users to view, thereby improving the work efficiency in the evaluation process.

[0013] According to a second aspect of this application, an information evaluation device is provided, comprising: an acquisition module for acquiring user response data to head-up display (HUD) information during simulated driving; a determination module for determining a first index value, a second index value, and a third index value based on the response data; wherein the first index value is used to evaluate the degree of influence of the HUD information on driving behavior; the second index value is used to evaluate the degree of influence of the HUD information on visual cognition; and the third index value is used to evaluate the degree of influence of the HUD information on the user's subjective evaluation; the determination module is further used to determine the evaluation result of the HUD information based on the first index value, the second index value, and the third index value.

[0014] In one possible implementation, the response data includes: braking reaction time, accuracy of driving behavior, reaction time to information changes, hit rate of information changes, reaction time to environmental changes, hit rate of environmental changes, subjective cognitive load, and subjective fitness. The determination module is specifically used to: determine a first indicator based on braking reaction time and accuracy of driving behavior; determine a second indicator value based on reaction time to information changes, hit rate of information changes, reaction time to environmental changes, and hit rate of environmental changes; and determine a third indicator value based on subjective cognitive load and subjective fitness. In another possible implementation, the determination module is specifically used to: quantify the first indicator value, quantify the second indicator value, and quantify the third indicator value to obtain a first quantized value corresponding to the first indicator value, a second quantized value corresponding to the second indicator value, and a third quantized value corresponding to the third indicator value; and perform weighted fusion of the first quantized value, the second quantized value, and the third quantized value to obtain an evaluation result of the head-up display (HUD) information.

[0015] In one possible implementation, the determining module is further configured to: determine that the head-up display (HUD) information is at a first level when the evaluation result is greater than or equal to a first preset threshold; determine that the HUD information is at a second level when the evaluation result is greater than or equal to a second preset threshold and less than the first preset threshold; determine that the HUD information is at a third level when the evaluation result is greater than or equal to a third preset threshold and less than the second preset threshold; and determine that the HUD information is at a fourth level when the evaluation result is less than the third preset threshold; wherein the amount of information in the HUD information at the first level is greater than the amount of information in the HUD information at the second level; the amount of information in the HUD information at the second level is greater than the amount of information in the HUD information at the third level; and the amount of information in the HUD information at the third level is greater than the amount of information in the HUD information at the fourth level.

[0016] According to a third aspect provided in this application, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the method of the first aspect described above and any possible implementation thereof.

[0017] According to a fourth aspect provided in this application, a computer-readable storage medium is provided that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the methods described in the first aspect and any possible implementation thereof.

[0018] According to the fifth aspect provided in this application, a computer program product is provided, the computer program product including computer instructions, which, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect and any possible implementation thereof.

[0019] Therefore, the above-mentioned technical features of this application have the following beneficial effects:

[0020] (1) Based on the above technical means, the corresponding three index values ​​are determined by the user's response data to HUD information during simulated driving, and the evaluation result of the HUD information is determined based on the index values. There is no need to evaluate the HUD information in real driving scenarios, which ensures the user's driving safety. Furthermore, the evaluation of HUD information based on multiple indicators makes the evaluation results more accurate.

[0021] (2) Based on the above technical means, the corresponding index values ​​are determined by the obtained response data, and the HUD information is evaluated from multiple aspects, thereby improving the accuracy of the evaluation results of HUD information.

[0022] (3) Based on the above technical means, the three index values ​​are quantified, and the corresponding three quantified values ​​are weighted and melted to obtain the final evaluation result, making the evaluation result more accurate.

[0023] (4) Based on the above technical means and the evaluation results, the information content level of the corresponding HUD information is determined, and then the information content level is used to determine whether the information content of the HUD information is suitable for users to view. This helps to comprehensively understand the actual impact of the information content of the HUD on users and improves the work efficiency of HUD information evaluation.

[0024] It should be noted that the technical effects of any of the implementation methods in aspects two through five can be found in the technical effects of the corresponding implementation methods in aspect one, and will not be repeated here.

[0025] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the structure of an evaluation device provided in an embodiment of this application;

[0027] Figure 2 A simulated road diagram provided for an embodiment of this application;

[0028] Figure 3 A flowchart illustrating an information evaluation method provided in an embodiment of this application;

[0029] Figure 4 This is a schematic diagram of the structure of an information evaluation device provided in an embodiment of this application;

[0030] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0031] To enable those skilled in the art to better understand the technical solutions of this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0032] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0033] As described in the background section, how to design the amount of information in a HUD is an urgent problem to be solved. It is necessary to take into account the user's cognitive load, reduce unnecessary information interference to the user, and ensure that the user can quickly extract information without affecting the user's perception of the surrounding environment.

[0034] To address the aforementioned issues, this application provides an information evaluation method for assessing the information content of HUD information and determining whether the HUD information is appropriate. The method involves: acquiring user response data to HUD information during simulated driving, determining three corresponding indicator values ​​based on the response data, and then determining the evaluation result of the HUD information based on the three indicator values ​​and their corresponding weights.

[0035] Understandably, a testing environment needs to be created before users can conduct simulated driving. Creating this testing environment requires preparing the appropriate testing equipment.

[0036] For ease of understanding, the following description, in conjunction with the accompanying drawings, details an information evaluation method provided in this application.

[0037] like Figure 1 As shown, Figure 1 This is a schematic diagram of the structure of an evaluation device provided in an embodiment of this application.

[0038] like Figure 1 As shown, the evaluation equipment includes a computer display screen 1, a driving simulator 2, a host 3, a projection screen 4, and HUD information 5.

[0039] The host unit 3 is connected to the display screen 1, the projection screen 4, and the driving simulator 2. During the evaluation process, the user responds using the driving simulator 2, and the response data is sent to the host unit 3 for processing. The host unit 3 is equipped with driving simulator software and a code editor.

[0040] For example, the projection screen can be 6.15m*5.5m in size. The larger the size, the closer the user's actual driving perspective will be to reality. The driving simulator can be a Logitech G29, or a device that includes multiple buttons, a steering wheel, an accelerator pedal, and a brake pedal. The source code editor can be VS Code. The driving simulator software can be Virtual Test Drive (VTD).

[0041] Understandably, before users can engage in simulated driving, it is necessary to set up, such as Figure 2 The driving scenario shown.

[0042] in, Figure 2 It is a two-lane road with a width of 3.5m on each side, with a total length of 50km. It consists of 7 curves, 3 left turns and 4 right turns. All curves have the same curvature. In addition, it is necessary to set up the scenery on both sides of the road, the shape of vehicles, traffic flow, etc., and "humanity icons" will also appear randomly on both sides of the road.

[0043] The driving scenarios include two types: daytime and nighttime. Daytime driving scenarios include daytime with little traffic and daytime with heavy traffic, while nighttime driving scenarios include nighttime with little traffic and nighttime with heavy traffic.

[0044] For example, the lighting conditions for daytime driving scenarios can be designed to be 2000-5000 lx, while the lighting conditions for dark driving scenarios can be designed to be 0.001-0.02 lx. For light traffic, the lighting can be designed to be 10 vehicles per lane per kilometer, while for heavy traffic, it can be designed to be 20 vehicles per kilometer. The design of driving scenarios can be completed in the Virtual Driving Test (VTD) software.

[0045] In the source code editor VS Code, I edited several task files, mainly setting different driving scenarios, speed limits, driving time, driving scenario files to be called, and button interfaces for users to respond to HUD information.

[0046] During the setup of the evaluation equipment, the driving simulator was fixed 3 meters in front of the projection screen, and the driver's line-of-sight was set at 1.2 meters. The point directly in front of this position is the origin of the viewing angle. In actual simulated driving, HUD information containing different amounts of information needs to be presented in the simulated driving scenario, such as... Figure 1 The HUD information is shown in Figure 5.

[0047] Understandably, this actual driving simulation needs to be conducted in a dark and open environment.

[0048] Figure 3 A flowchart illustrating an information evaluation method according to an exemplary embodiment is shown below. Figure 3As shown, the evaluation method for this information includes the following steps:

[0049] S101. During the user's simulated driving process, acquire the user's response data to the head-up display (HUD) information.

[0050] During simulated driving, three tasks need to be completed: simulated driving, change detection, and subjective evaluation. The simulated driving and change detection tasks are performed simultaneously.

[0051] In some embodiments, during the simulated driving task, the vehicle in front travels at a constant speed of 60 km / h. The test vehicle is required to follow the vehicle in front in the same lane, maintain an appropriate distance, and not change lanes. An alarm will sound if the speed exceeds a preset limit. When the brake lights of the vehicle in front illuminate, the test vehicle must immediately brake. At this time, the system records the user's braking reaction time and the accuracy of the driving behavior. When the test vehicle lags behind the vehicle in front by 150 meters, an alarm will sound, reminding the user to accelerate to maintain an appropriate distance.

[0052] The brake lights of the vehicle in front illuminate for 1.5 seconds. In a single driving task, there are a total of 10 instances of the lights illuminating, which randomly appear 3.5 seconds after a change in HUD information.

[0053] In some embodiments, the change detection task includes a HUD information change detection task and an environmental change detection task. Specifically, the HUD information change detection task involves displaying HUD information with varying amounts of information, including icons and text, during the simulated driving process. The user needs to pay attention to changes in the HUD information during the simulation; the changed information will be retained on the corresponding screen, and will randomly reappear in any location, including the original position, when the change occurs again. The environmental change detection task involves the appearance of human-shaped icons in the surrounding environment during driving.

[0054] Understandably, users need to familiarize themselves with the driving scenario before officially starting the simulated driving, and this familiarization time can be 5 minutes.

[0055] During the actual simulated driving test, follow the instructions as follows: Figure 2 Drive on the road shown until the information and environment changes are completed. After completing one driving scenario, continue to the next driving scenario.

[0056] In some embodiments, the system records driving data every 0.01 seconds.

[0057] The driving data includes braking reaction time, accuracy of driving behavior, number of braking actions, position deviation, speed, acceleration, steering wheel angle, pedal deflection angle, reaction time to information changes, hit rate of information changes, reaction time to environmental changes, and hit rate of environmental changes.

[0058] In some embodiments, the subjective evaluation task is for users to rate the cognitive load and interface comfort of HUD information, which includes different amounts of information.

[0059] After the user completes four driving scenarios in the simulation, HUD information with different amounts of information will be presented on the projection screen. The user needs to evaluate the HUD information, and the evaluation content includes subjective cognitive load and subjective suitability.

[0060] In some embodiments, user response data is determined based on driving data recorded by the system and user evaluation of HUD information.

[0061] The response data includes: braking reaction time, accuracy of driving behavior, reaction time to information changes, hit rate of information changes, reaction time to environmental changes, hit rate of environmental changes, subjective cognitive load, and subjective fitness.

[0062] This approach, which acquires response data through simulated driving scenarios, saves costs and is highly feasible. It eliminates the need to install the HUD information into actual vehicles for evaluation; only the necessary environment and procedures need to be set up to test the amount of information in the HUD, without affecting user driving safety. Furthermore, it includes various driving scenarios, comprehensively covering everyday driving situations and improving the accuracy of HUD information evaluation results.

[0063] S102. Based on the response data, determine the first indicator value, the second indicator value, and the third indicator value.

[0064] In some embodiments, a simulated driving task is performed to obtain a first indicator value, a change detection task is performed to obtain a second indicator value, and a subjective evaluation task is performed to obtain a third indicator value.

[0065] The first indicator value is used to evaluate the impact of HUD information on driving behavior; the second indicator value is used to evaluate the impact of HUD information on visual cognition; and the third indicator value is used to evaluate the impact of HUD information on users' subjective evaluation.

[0066] In some embodiments, a first index value is determined based on braking reaction time and the accuracy of driving behavior.

[0067] The function of the first indicator value is D = d(x1, x2). The function d describes the relationship between the first indicator value and driving behavior x. x1 represents braking reaction time and the accuracy of driving behavior. The first indicator value is between 0 and 1, and it is inversely proportional to driving performance. The larger the first indicator value, the greater the influence of HUD information on driving behavior, and the worse the driving performance.

[0068] In some embodiments, a second index value is determined based on the reaction time to information change, the hit rate to information change, the reaction time to environmental change, and the hit rate to environmental change.

[0069] The function for the second indicator value is R = r(m1, m2, m3, m4). The function r describes the relationship between the second indicator value and visual cognition m. m1 is the reaction time to information change, m2 is the hit rate to information change, m3 is the reaction time to environmental change, and m4 is the hit rate to environmental change. The second indicator value is inversely proportional to visual cognition; the larger the second indicator value, the greater the influence of HUD information on visual cognition, and the worse the performance of visual cognition.

[0070] In some embodiments, a third metric is determined based on subjective cognitive load and subjective fitness.

[0071] The function of the third indicator value is C = c(n1, n2). Function c describes the relationship between the third indicator value and the subjective evaluation n. n1 represents the subjective cognitive load, and n2 represents the subjective fitness. The third indicator value is inversely proportional to the subjective evaluation; the larger the third indicator value, the greater the influence of the HUD information on the subjective evaluation, and the lower the subjective evaluation.

[0072] S103. Determine the evaluation result of the Head-Up Display (HUD) information based on the first indicator value, the second indicator value, and the third indicator value.

[0073] In some embodiments, the evaluation result is determined by: quantifying a first indicator value, quantifying a second indicator value, and quantifying a third indicator value to obtain a first quantized value corresponding to the first indicator value, a second quantized value corresponding to the second indicator value, and a third quantized value corresponding to the third indicator value; and weighting and fusing the first quantized value, the second quantized value, and the third quantized value to obtain the evaluation result of the head-up display (HUD) information.

[0074] The evaluation results are calculated according to the following formula:

[0075] Y = a1(1-D) + a2(1-R) ​​+ a n (1-C)

[0076]

[0077] Y represents the evaluation result of HUD information, a1 is the weight corresponding to the first indicator value, a2 is the weight corresponding to the second indicator value, and a3 is the weight corresponding to the third indicator value.

[0078] For example, the weights corresponding to the above three indicators are determined by relevant experts, but can also be set according to the actual situation.

[0079] The HUD information content assessment score is between 0 and 1, with a higher score indicating a higher perceived cognitive load for the user.

[0080] In some embodiments, when the evaluation result is greater than or equal to a first preset threshold, the head-up display (HUD) information is determined to be at a first level; when the evaluation result is greater than or equal to a second preset threshold and less than the first preset threshold, the head-up display (HUD) information is determined to be at a second level; when the evaluation result is greater than or equal to a third preset threshold and less than the second preset threshold, the head-up display (HUD) information is determined to be at a third level; and when the evaluation result is less than the third preset threshold, the head-up display (HUD) information is determined to be at a fourth level.

[0081] Among them, the amount of information in the first-level head-up display (HUD) is greater than that in the second-level HUD; the amount of information in the second-level HUD is greater than that in the third-level HUD; and the amount of information in the third-level HUD is greater than that in the fourth-level HUD.

[0082] For example, when the first preset threshold is 0.8, the second preset threshold is 0.5, and the third preset threshold is 0.3, the evaluation results are explained in conjunction with Table 1.

[0083] Table 1

[0084]

[0085] In this way, HUD information is evaluated based on multiple indicators, covering users' driving behavior, visual perception, and subjective evaluation, making the evaluation results of HUD information more accurate and comprehensive. Furthermore, based on the corresponding tables of evaluation results, the impact of different HUD information on users can be accurately understood, thus improving the efficiency of HUD information evaluation.

[0086] Figure 4 This is a schematic diagram of the structure of an information evaluation device according to an exemplary embodiment. See also: Figure 4 The evaluation device 40 for this information includes: an acquisition module 401 and a determination module 402.

[0087] The acquisition module 401 is used to acquire the user's response data to the head-up display (HUD) information during the user's simulated driving process;

[0088] The determination module 402 is used to determine a first indicator value, a second indicator value, and a third indicator value based on the response data; wherein, the first indicator value is used to evaluate the degree of influence of the head-up display (HUD) information on driving behavior; the second indicator value is used to evaluate the degree of influence of the head-up display (HUD) information on visual cognition; and the third indicator value is used to evaluate the degree of influence of the head-up display (HUD) information on the user's subjective evaluation.

[0089] The determination module 402 is also used to determine the evaluation result of the head-up display (HUD) information based on the first indicator value, the second indicator value, and the third indicator value.

[0090] In some embodiments, the response data includes: braking reaction time, accuracy of driving behavior, reaction time to information change, hit rate of information change, reaction time to environmental change, hit rate of environmental change, subjective cognitive load, and subjective fitness. The determination module 402 is specifically used to: determine a first indicator based on braking reaction time and accuracy of driving behavior; determine a second indicator value based on reaction time to information change, hit rate of information change, reaction time to environmental change, and hit rate of environmental change; and determine a third indicator value based on subjective cognitive load and subjective fitness.

[0091] In some embodiments, the determining module 402 is specifically used to: quantize the first indicator value, quantize the second indicator value, and quantize the third indicator value to obtain the first quantized value corresponding to the first indicator value, the second quantized value corresponding to the second indicator value, and the third quantized value corresponding to the third indicator value; and perform weighted fusion on the first quantized value, the second quantized value, and the third quantized value to obtain the evaluation result of the head-up display (HUD) information.

[0092] In some embodiments, the determining module 402 is further configured to: determine that the head-up display (HUD) information is at a first level when the evaluation result is greater than or equal to a first preset threshold; determine that the head-up display (HUD) information is at a second level when the evaluation result is greater than or equal to a second preset threshold and less than the first preset threshold; determine that the head-up display (HUD) information is at a third level when the evaluation result is greater than or equal to a third preset threshold and less than the second preset threshold; and determine that the head-up display (HUD) information is at a fourth level when the evaluation result is less than the third preset threshold; wherein the amount of information in the head-up display (HUD) information at the first level is greater than the amount of information in the head-up display (HUD) information at the second level is greater than the amount of information in the head-up display (HUD) information at the third level is greater than the amount of information in the head-up display (HUD) information at the fourth level.

[0093] Figure 5 This is a schematic diagram illustrating the structure of an electronic device according to an exemplary embodiment. For example... Figure 5 As shown, the electronic device 50 includes, but is not limited to, a processor 501 and a memory 502.

[0094] The memory 502 described above is used to store the executable instructions of the processor 501. It is understood that the processor 501 is configured to execute instructions to implement the information evaluation method in the above embodiments.

[0095] It should be noted that those skilled in the art will understand that Figure 5 The electronic devices shown are not intended to limit the scope of electronic devices; electronic devices may include those that are more than [specific examples]. Figure 5 This may indicate more or fewer components, or combinations of certain components, or different component arrangements.

[0096] Processor 501 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in memory 502, and by calling data stored in memory 502, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Processor 501 may include one or more processing units. Optionally, processor 501 may integrate an application processor and a modem processor. The application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into processor 501.

[0097] The memory 502 can be used to store software programs and various data. The memory 502 may primarily include a program storage area and a data storage area. The program storage area may store the operating system, application programs required by at least one functional module (such as acquisition modules, construction modules, etc.), etc. Furthermore, the memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0098] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 502 including instructions, which can be executed by a processor 501 of an electronic device 50 to implement the information evaluation method in the above embodiments.

[0099] In actual implementation, Figure 4 The functions of the acquisition module 401 and the determination module 402 can both be provided by Figure 5The processor 501 calls the computer program stored in the memory 502 to implement the process. The specific execution process can be found in the description of the information evaluation method section of the previous embodiment, and will not be repeated here.

[0100] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0101] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another apparatus, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0102] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the classified units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0103] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0104] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of this application, essentially, or the part that contributes to the prior art, or a complete or partial classification of the technical solution, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0105] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for evaluating information, characterized in that, The method includes: During the user's simulated driving, acquire the user's response data to the head-up display (HUD) information; Based on the response data, a first indicator value, a second indicator value, and a third indicator value are determined; wherein, the first indicator value is used to evaluate the degree of influence of the head-up display (HUD) information on driving behavior; the second indicator value is used to evaluate the degree of influence of the head-up display (HUD) information on visual cognition; and the third indicator value is used to evaluate the degree of influence of the head-up display (HUD) information on the user's subjective evaluation. The evaluation result of the head-up display (HUD) information is determined based on the first indicator value, the second indicator value, and the third indicator value. The response data includes: braking reaction time, accuracy of driving behavior, reaction time to information changes, hit rate of information changes, reaction time to changes in the driving environment, hit rate of changes in the driving environment, subjective cognitive load, and subjective fitness. The reaction time for information changes is the time from when the HUD information changes to when the user responds. The hit rate for information changes is the proportion of the number of times the user correctly responds to HUD information changes out of the total number of HUD information changes. The reaction time for driving environment changes is the time from when a preset event occurs in the driving environment to when the user responds. The hit rate for driving environment changes is the proportion of the number of times the user correctly responds to driving environment changes out of the total number of driving environment changes. The step of determining the first indicator value, the second indicator value, and the third indicator value based on the response data includes: The first indicator value is determined based on the braking reaction time and the accuracy of the driving behavior; The second index value is determined based on the reaction time to the information change, the hit rate to the information change, the reaction time to the driving environment change, and the hit rate to the driving environment change. The third indicator value is determined based on the subjective cognitive load and the subjective fitness.

2. The method according to claim 1, characterized in that, The step of determining the evaluation result of the head-up display (HUD) information based on the first indicator value, the second indicator value, and the third indicator value includes: The first indicator value, the second indicator value, and the third indicator value are quantized to obtain a first quantized value corresponding to the first indicator value, a second quantized value corresponding to the second indicator value, and a third quantized value corresponding to the third indicator value. The first quantized value, the second quantized value, and the third quantized value are weighted and fused to obtain the evaluation result of the head-up display (HUD) information.

3. The method according to claim 2, characterized in that, The method further includes: When the evaluation result is greater than or equal to the first preset threshold, the head-up display (HUD) information is determined to be at the first level. When the evaluation result is greater than or equal to the second preset threshold and less than the first preset threshold, the head-up display (HUD) information is determined to be at the second level. When the evaluation result is greater than or equal to the third preset threshold and less than the second preset threshold, the head-up display (HUD) information is determined to be at the third level. When the evaluation result is less than a third preset threshold, the head-up display (HUD) information is determined to be at the fourth level; wherein, the amount of information in the head-up display HUD information at the first level is greater than the amount of information in the head-up display HUD information at the second level; the amount of information in the head-up display HUD information at the second level is greater than the amount of information in the head-up display HUD information at the third level; and the amount of information in the head-up display HUD information at the third level is greater than the amount of information in the head-up display HUD information at the fourth level.

4. An information evaluation device, characterized in that, The device includes: The acquisition module is used to acquire the user's response data to the head-up display (HUD) information during the user's simulated driving process; The determining module is used to determine a first indicator value, a second indicator value, and a third indicator value based on the response data; wherein, the first indicator value is used to evaluate the degree of influence of the head-up display (HUD) information on driving behavior; the second indicator value is used to evaluate the degree of influence of the HUD information on visual cognition; and the third indicator value is used to evaluate the degree of influence of the HUD information on the user's subjective evaluation. The determining module is further configured to determine the evaluation result of the head-up display (HUD) information based on the first indicator value, the second indicator value, and the third indicator value; The response data includes: braking reaction time, accuracy of driving behavior, reaction time to information changes, hit rate of information changes, reaction time to changes in the driving environment, hit rate of changes in the driving environment, subjective cognitive load, and subjective fitness. The reaction time to information changes is the time from when the HUD information changes to when the user responds. The hit rate of information changes is the proportion of the number of times the user correctly responds to changes in HUD information out of the total number of HUD information changes. The reaction time to changes in the driving environment is the time from when a preset event occurs in the driving environment to when the user responds. The hit rate of changes in the driving environment is the proportion of the number of times the user correctly responds to changes in the driving environment out of the total number of changes in the driving environment. The determining module is specifically used for: The first indicator value is determined based on the braking reaction time and the accuracy of the driving behavior; The second index value is determined based on the reaction time to the information change, the hit rate to the information change, the reaction time to the driving environment change, and the hit rate to the driving environment change. The third indicator value is determined based on the subjective cognitive load and the subjective fitness.

5. The apparatus according to claim 4, characterized in that, The determining module is specifically used for: The first indicator value, the second indicator value, and the third indicator value are quantized to obtain a first quantized value corresponding to the first indicator value, a second quantized value corresponding to the second indicator value, and a third quantized value corresponding to the third indicator value. The first quantized value, the second quantized value, and the third quantized value are weighted and fused to obtain the evaluation result of the head-up display (HUD) information.

6. The apparatus according to claim 5, characterized in that, The determining module is further configured to: When the evaluation result is greater than or equal to the first preset threshold, the head-up display (HUD) information is determined to be at the first level. When the evaluation result is greater than or equal to the second preset threshold and less than the first preset threshold, the head-up display (HUD) information is determined to be at the second level. When the evaluation result is greater than or equal to the third preset threshold and less than the second preset threshold, the head-up display (HUD) information is determined to be at the third level. When the evaluation result is less than a third preset threshold, the head-up display (HUD) information is determined to be at the fourth level; wherein, the amount of information in the head-up display HUD information at the first level is greater than the amount of information in the head-up display HUD information at the second level; the amount of information in the head-up display HUD information at the second level is greater than the amount of information in the head-up display HUD information at the third level; and the amount of information in the head-up display HUD information at the third level is greater than the amount of information in the head-up display HUD information at the fourth level.

7. An electronic device, characterized in that, processor; A memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method as described in any one of claims 1 to 3.

8. A computer-readable storage medium, characterized in that, When the computer-executable instructions stored in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is capable of performing the method as described in any one of claims 1 to 3.

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