Quantification method

Abstract

To provide a quantification method that enables a designer to easily grasp an appropriate range of the amount of information on a display.SOLUTION: The quantification method is a method for quantifying the amount of information displayed on a vehicle display, and includes digitizing each of all image information that can be displayed on the display, and calculating an information density by dividing the sum of all the digitized image information by the area of the display.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present disclosure relates to quantification methods. [Background technology]

[0002] Conventionally, it is known that vehicles are equipped with displays such as multi-information displays. Various information related to the vehicle is displayed on the display. For example, Patent Document 1 discloses a display that can display optimal information that the driver considers important according to the driver and driving conditions.

[0003] In addition, it is known that such displays have become larger in size in recent years with the rapid spread of advanced driver assistance systems and the development of autonomous driving. The larger displays make it possible to display more information on the displays, such as speedometers, navigation, various warning displays, vehicle status displays, images from the left and right front cameras, images from the rear camera, electronic mirror images, and entertainment information. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 11-99852 Summary of the Invention [Problem to be solved by the invention]

[0005] However, since it is believed that humans have a certain limit to their information processing capabilities, even if larger displays allow more information to be displayed, there are cases in which the driver of a vehicle is unable to process all of the information shown on the display.

[0006] The amount of information on a display affects the driver's visibility and safe driving, so the amount of information on the display is something that designers should take into consideration, but until now, there has been no method for calculating the amount of information on a display, and as a result, designers have been unable to objectively grasp the amount of information.

[0007] Furthermore, even if a designer performs a subjective visual evaluation of the amount of information on a display, the result is ultimately compared and examined by other experimenters, making it time-consuming and costly to evaluate the appropriateness of the amount of information.

[0008] An object of the present disclosure is to provide a quantification method that allows designers to easily grasp a reasonable range for the amount of information in a display. [Means for solving the problem]

[0009] The quantification method according to the present disclosure comprises: A method for quantifying an amount of information to be displayed on a display of a vehicle, comprising the steps of: digitizing all image information that can be displayed on the display; Calculating an information density by dividing the sum of all digitized image information by the area of ​​the display; has. Effect of the Invention

[0010] According to the present disclosure, a designer can easily grasp an appropriate range for the amount of information on a display. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 is a diagram for explaining a quantification method according to an embodiment of the present disclosure. [Diagram 2] 11 is a flowchart showing an example of the flow of a quantification method according to the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of the present disclosure will be described in detail with reference to the drawings. Fig. 1 is a diagram for explaining a quantification method according to an embodiment of the present disclosure.

[0013] As shown in Fig. 1, a vehicle is equipped with a display 1 such as a multi-information display. The display 1 is disposed, for example, in an instrument panel attached to the dashboard of the vehicle. Fig. 1 shows an example in which the display 1 is disposed between a speedometer 2 and a tachometer 3.

[0014] The display 1 can display various image information such as a speedometer, navigation, various warning displays, vehicle status displays, images from the left and right front cameras, images from the rear camera, an electronic mirror image, and entertainment information.

[0015] Incidentally, the driver of the vehicle checks the display 1 while driving, but it is considered that humans have a certain limit to their information processing capabilities. As described above, the display 1 is capable of displaying a large amount of image information, but even if a large amount of information is displayed on the display 1, the driver of the vehicle may not be able to process all of the information displayed on the display 1.

[0016] Since the amount of information on the display 1 affects the driver's visibility and safe driving, it is desirable to quantify it while taking into consideration the degree of influence on the driver's visibility and safe driving.

[0017] In this embodiment, it is possible to quantify the amount of information on the display 1 by calculating the information density related to the amount of information on the display 1. A method for quantifying the amount of information on the display 1 will be described below.

[0018] The amount of information on the display 1 may be quantified by a human (eg, a designer) through manual calculation.

[0019] First, the designer digitizes all image information that can be displayed on the display 1. For example, the image information is digitized such that one character is assigned a first predetermined value, one graphic (e.g., an image showing a vehicle, an image showing a sign, etc.) is assigned a second predetermined value, and so on.

[0020] The first and second predetermined values ​​are, for example, numerical values ​​expressed in units of bits, and may be set to any value.

[0021] Characters may be quantified as kana characters, for example. Characters other than kana characters may be quantified, for example, after being converted into kana characters. For example, Chinese characters are converted into kana characters and then quantified. For example, English words and units are converted into kana characters that express their readings and then quantified. For example, kana characters with voiced consonants, semi-voiced consonants, and long vowels, and long vowel characters may be quantified as one character. For example, numbers may be quantified with one character per digit. For example, symbols having some content, such as arrows, may be quantified as one character.

[0022] The numerical values ​​of the characters or figures are merely examples, and other numerical values ​​may be used. Furthermore, the numerical values ​​may vary depending on the size of the characters or figures. For example, the image information may be quantified so that the numerical values ​​become larger as the size of the characters or figures increases.

[0023] The designer then calculates the information density by dividing the sum of all the digitized image information by the area of ​​the display 1. For example, if the sum of all the digitized image information is 250 bits and the area of ​​the display 1 is 80 cm 2 then the information density is 3.125 bits / cm 2 It becomes.

[0024] Calculating the information density in this manner makes it easier for the designer to determine the amount of information on the display 1, and therefore the designer can easily grasp the amount of information on the display 1.

[0025] The designer may also determine whether the information density is within a recommended range. The recommended range is an index regarding the ease of viewing each piece of image information in the display 1 for the driver of the vehicle, and is set within an appropriate range (for example, 2.0 to 4.7 bits / cm 2 etc.)

[0026] The recommended range may be set based on a subjective evaluation by the driver or an objective evaluation based on the driver's reaction.

[0027] The driver's subjective evaluation may be, for example, when the driver is driving the vehicle, image information is displayed on the display 1, and the driver evaluates whether the driver was able to quickly recognize the image information, whether the image information was easy to view, etc.

[0028] In addition, the objective evaluation based on the driver's reaction may be, for example, an evaluation based on the time (reaction time) from when image information is displayed on the display 1 while the driver is driving the vehicle to when the driver notices the image information.

[0029] The reaction time may be measured, for example, by the driver pressing a switch provided on the steering wheel or the like when he or she notices the image information.

[0030] In this way, by determining whether the information density is within a preset recommended range, the designer can easily determine whether the amount of information on the display 1 is within a range that is easy for the driver to see.

[0031] Furthermore, the designer may set different ranges as the recommended range depending on the vehicle usage situation. For example, when the vehicle usage situation is autonomous driving, a recommended range corresponding to a higher information density may be set than when the usage situation is manual driving. This is because, in autonomous driving, the driver's visibility of the display 1 is considered to be greater than in manual driving, and even if the visibility of the display 1 is increased, the impact on safety is considered to be relatively small. Furthermore, the vehicle usage situation may include the above-mentioned autonomous driving and manual driving, as well as when an advanced driving system is used.

[0032] Next, a flow of the quantification method according to the present embodiment will be described below. Fig. 2 is a flow chart showing an example of the flow of the quantification method according to the present embodiment.

[0033] As shown in Fig. 2, the designer digitizes all image information that can be displayed on the display 1 (step S101). Next, the designer calculates the information density by dividing the sum of all the digitized image information by the area of ​​the display 1 (step S102). Furthermore, the designer determines whether the information density is within the above-mentioned recommended range (step S103). After step S103, the flow of the quantification method ends.

[0034] According to the present embodiment as described above, all image information that can be displayed on the display 1 is digitized, and the information density is calculated by dividing the sum of all the digitized image information by the area of ​​the display 1.

[0035] This makes it easier for the designer to determine the amount of information on the display 1, and therefore the designer can easily grasp the amount of information on the display 1. As a result, the designer can easily grasp the appropriate range of the amount of information on the display 1.

[0036] In addition, since the designer determines whether the information density is within the recommended range, it is easy to grasp whether the amount of information on the display 1 is within a range that is easy for the driver to see. As a result, the amount of information on the display 1 can be set to ensure a certain level of visibility for the driver.

[0037] Conventionally, there was no way to calculate the appropriate range of the amount of information in the display 1, so the designer could not objectively grasp the amount of information in the display 1. Therefore, the designer had to subjectively evaluate it visually, and then other experimenters had to compare and consider it in the end, so it was time-consuming and costly to evaluate the appropriateness of the amount of information.

[0038] In contrast, in the present embodiment, the designer can easily grasp the amount of information in the display 1, and thus the above-mentioned visual evaluation by the designer and comparison by other experimenters are not required. As a result, the time and cost required for evaluating the appropriateness of the amount of information can be significantly reduced.

[0039] Furthermore, in recent years, with the rapid spread of advanced driver assistance systems and the development of autonomous driving, such displays 1 have become larger, and accordingly, the amount of information that can be displayed on the displays 1 has also increased.

[0040] In this embodiment, the appropriate range of the amount of information on the display 1 can be easily grasped, so that even if the display 1 is enlarged, an appropriate amount of information can be provided according to the size of the display 1.

[0041] In the above embodiment, the designer performs each process of the quantification method by manual calculation, but the present disclosure is not limited to this. For example, the process may be performed by a device (such as a personal computer) having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), etc.

[0042] In addition, the above-mentioned embodiments are merely examples of the embodiment of the present disclosure, and the technical scope of the present disclosure should not be interpreted as being limited by them. In other words, the present disclosure can be embodied in various forms without departing from the gist or main features thereof. [Industrial Applicability]

[0043] The quantification method of the present disclosure is useful as a quantification method that allows designers to easily grasp an appropriate range for the amount of information on a display. [Explanation of symbols]

[0044] 1 Display 2 Speedometer 3 Tachometer

Claims

1. A method for quantifying an amount of information to be displayed on a display of a vehicle, comprising: digitizing all image information that can be displayed on the display; Calculating an information density by dividing the sum of all digitized image information by the area of ​​the display; A quantification method having the following structure:

2. The method further includes determining whether the information density is within a recommended range indicating an index regarding visibility of each image information in the display for a driver of the vehicle. The quantification method of claim 1.

3. In the determination, the recommended range is set to a range that varies depending on a usage situation of the vehicle. The quantification method according to claim 2.

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