JPH02259962A - Design device - Google Patents

Abstract

PURPOSE:To always recognize satisfactory design even when the meaning of an evaluation word changes in the lapse of time by inferring and extracting another design element from a knowledge data base by a design change means by inputting a corrective evaluation word when a design element displayed on a display means is not fitted in the image of an inputted evaluation word. CONSTITUTION:When the evaluation word 20 set in advance, the corrective evaluation word 25, and a satisfactory evaluation word 26, etc., are stored in the memory M of a computer, and an epithet as the evaluation word 20 is inputted, the optimum vehicle design element 22 is inferred and extracted from the knowledge data base 2 by the function of the CPU of the computer by a design selection means 3. When the design element displayed on the display means is not fitted in the image of the inputted evaluation word, the design change means 5 infers and extracts another design element from the knowledge data base 2 by inputting the corrective evaluation word, and it is displayed on the display means 4. In such a way, it is possible to always display the satisfactory design even when the meaning of the epithet representing a feeling as the evaluation word changes in the lapse of time.

Description

DETAILED DESCRIPTION OF THE INVENTION Field of the Invention The present invention relates to a design device that displays a design on a display device such as a CRT while confirming the image that a person has.

Conventional technology This type of design device includes, for example, March 1988: Published by the Institute of Electronics, Information and Communication Engineers, “Journal of the Institute of Electronics, Information and Communication Engineers: Separate Volume;
There is one described in Vo 1.71NO, 3pp, 245-247J. This is the exterior of the house, entrance, and Western-style room in computer memory.

House design elements for each component such as a Japanese-style room, kitchen, bath, etc.
Luxurious as an adjective that describes a feeling.

Evaluation terms such as spacious and spacious, knowledge that defines the relationship between evaluation terms, knowledge that defines the relationship between these evaluation terms and housing design elements, etc. are stored as a knowledge database, and humans can use evaluation terms like a keyboard. By operating the input means, for example, input a limited term for housing design such as "Japanese-style room", which represents a design element that is a structural part of a house, and also input the term "Japanese-style room", which expresses the feeling that you have of a Japanese-style room. When the evaluation term ``shita'' is input into the computer, the computer infers and extracts appropriate Japanese-style room design elements based on the evaluation term input from the knowledge database, and displays the image on the display means.

Problems to be Solved by the Invention Generally, the meanings of adjectives that express feelings as input evaluation terms change over time. For this reason,
The input evaluation term and the design element displayed on the display means may not match the image of the person who input the evaluation term.

Means for Solving the Problems The first invention infers and extracts optimal vehicle design elements from a knowledge database using evaluation terms input by operating an evaluation term input means, and displays the extracted design elements on a display means. The display design device is provided with a design change means for inferring and extracting another design element from the knowledge database by inputting a modified evaluation term, and displaying this in place of the design element displayed on the display means. be.

A second aspect of the present invention is to provide a knowledge database changing means for updating a knowledge database by using a design element changed by inputting a modified evaluation term as a design element optimal for the inputted evaluation term.

When an operator inputs an evaluation term by operating the evaluation term input means, an optimal design element is inferred and extracted from the knowledge database, and the display means displays this design element. If the design element displayed on the display means does not match the image of the input evaluation term, when a modified evaluation term is input, the design change means infers and extracts another design element from the knowledge database, and displays it on the display means. is displayed.

On the other hand, the knowledge database changing means updates the knowledge database with the changed design element as the optimal design element for the input evaluation term.

Embodiment As shown in FIG. 1.2, this embodiment generally includes an evaluation term input means 1, a knowledge database 2, a design selection means 3, a display means 4, a design change means 5, and a knowledge database change means 6. Since this is an example of the case where interior design of a vehicle interior is performed using computer graphics, the evaluation term input means 1 is configured with a keyboard as a computer-intensive input means,
The knowledge database 2, the vehicle design selection means 3, the design change means 5, and the knowledge database change means 6 are constituted by a computer main body, and the display means 4 is a CRT'? which is the output means of the computer. ? It is composed.

Here, the knowledge database 2 contains evaluation terms 20 (Table 1 below)
(see Table 1 below), and vehicle design elements 22 as design elements (see Table 2.3 below).

Knowledge that defines the relationship between evaluation terms and vehicle design elements 2
3 (see Table 2 below), modified evaluation terms 25 degrees, and satisfaction evaluation terms 26, respectively, are stored in at least the memory M of the computer.

The evaluation terms 20 are composed of adjectives as shown in the evaluation terms in Table 1 below.

The knowledge 2N that defines the relationship between evaluation terms is obtained by dividing the evaluation terms 20 into factors 1 to 10 through multivariable analysis such as quantification logic type I or type II, as shown in Table 1 below. It is analyzed as (quantity).

The vehicle design elements 22 are classified into first to fifth items as shown in Table 2 below.

Knowledge that defines the relationship between evaluation terms and vehicle design elements 2
No. 3 was prepared as a result of a sensory evaluation experiment as shown in Table 2 below. Specifically, the evaluation terms 20 and the first to fifth items of the vehicle design elements 22 are selected, the vehicle design elements 22 corresponding to the first to fifth items are shown to a large number of unspecified people, and the adjective words The feelings received from the vehicle design elements 22 for each of the evaluation terms 20 that are a group are collected, and the collected results are subjected to multivariate analysis such as quantification logic type 1 or It is analyzed as a number).

Here, the first item is "provided on the instrument panel in the vehicle design element 22, as shown in Table 2.
The focus is on the number of meters, and this is classified into the first to fifth categories.The first category of the first item is one with one large meter.The second category of the first item The category has one large meter and two small meters.The third category of the first item has one large meter and three small meters.The fourth category of the first item The category has two large meters and one small meter.The fifth category of the first item has two large meters and two small meters.

The second item is “Instrument panel and meter cluster 0” in the vehicle design elements 22, as shown in Table 2.
This is divided into the first category and the second category.

The first category of this second item is one in which an instrument panel and a meter cluster are integrated. The second item, the second category, is one in which the instrument panel and meter cluster are separated.

As shown in Table 2, the third item focuses on the "meter cluster and center console" among the vehicle design elements 22, and is divided into the first category and the second category. The first category of this third item is one in which the meter cluster and center console are integrated. The second category of the third item is one in which the meter cluster and center console are separated.

As shown in Table 2, the fourth item focuses on "door thickness" among the vehicle design elements 22, and is classified into the first category and the second category. The first category of this fourth item is those with thick doors. The second category of the fourth item is those with thin doors.

As shown in Table 2, the fifth item is "center cluster overhang" among the vehicle design elements 22.

This focuses on the first category and the second category.
It is divided into categories. The first of this fifth item
The category is those with an overhanging center cluster. The second category of the fifth item is one in which the center cluster does not have an overhang.

The design selection means 3 is programmed in advance as a system base in the memory M of the computer, and uses the evaluation term 20 input by key operation of the evaluation term input means 1 to cause the CPU of the computer to operate according to the flowchart shown in FIG. Then, the optimal vehicle design elements 22 are inferred and extracted from the knowledge database 2.

The design change means 5 is programmed in the memory M of the computer in advance as a system base, and uses the modified evaluation term 25 such as "unsatisfactory" input by key operation of the evaluation term input means 1 to change the flowchart shown in FIG. Therefore, the CPU of the computer infers and extracts a vehicle design element 22 different from the vehicle design element displayed on the display means 4 from the knowledge database 2, and uses this as the vehicle design element displayed on the display means 4. Displayed instead of 22.

Knowledge data penis changing means 6 is computer memory M
The corrected evaluation term 25, which is programmed in advance as a system base, is input by key operation of the evaluation term input means 1, and the vehicle design element 22 changed by the function of the design change means 5 is optimized for the input evaluation term. The knowledge database 2 is updated (rewritten) as the vehicle design elements 22.

According to the above-described structure of the embodiment, first, the pre-selected evaluation terms 20. Knowledge defining relationships between evaluation terms obtained in preliminary experiments 21. Vehicle design elements 22, knowledge 23 that defines the relationship between evaluation terms obtained through sensory experiments and vehicle design elements, and modified evaluation terms 25. Satisfaction evaluation terms 26 and the like are stored in the memory M of the computer. In this state, when a human operates the evaluation term input means 1 to input an adjective as the evaluation term 20, the design selection means 3
The optimal vehicle design elements 22 are inferred and extracted from the knowledge database 2 through adjective processing using the CPU of the computer.

Here, we assume “suitable for runners” as evaluation term 20,
The above operation will be specifically explained based on the flowchart shown in FIG.

When "for runners", which represents a feeling as an image held by humans, is input as the evaluation term 20 in step St, the evaluation term 20 most closely related to the evaluation term 20 input in step S2 is selected from Table 1. . The evaluation term 20 selected from Table 1 (same as the input evaluation term "for runners") is "for runners", and a "Δ" mark was added to the notes in Table 2 in step S3. As such, the evaluation term "suitable for runners" and the corresponding partial regression coefficients are extracted as shown in Table 3 below (Table 3 is written in the notes of Table 2 as "
Δ" mark). Then, in step S4, the first partial regression coefficient among the partial regression coefficients for the first to fifth items shown in Table 3 (same as the one marked with "○" in the bottom column of Table 3). The vehicle design element 22 of the category corresponding to the partial regression coefficient (corresponding to the marked part) is extracted from the knowledge database 2, and is displayed as an image on the display means 4 in step S5. Inquire whether the displayed image is satisfactory.If the operator is satisfied, step S7
In step S8, the satisfaction evaluation term 26 is input into the knowledge database 2, and one cycle of design display ends in step S8.

Next, if the operator who visually recognized the display image is not satisfied with the feeling that it does not match the feeling of "suitable for runners" as the evaluation term 20 input in step S1, input the evaluation term in step S9. When the modified evaluation term 25 "unsatisfactory" is inputted by a key operation different from the above-mentioned key operation of the means 1, the computer C by the design change means 5 is inputted.
Due to the function of PU, the above-mentioned step S is performed in step SIO.
The partial regression coefficient (0, 46) having the largest value among the partial regression coefficients other than those selected in step 4 is selected, and the vehicle design element 22 of the category corresponding to this selected partial regression coefficient is extracted from the knowledge database 2. ” in the bottom column of Table 3.
The vehicle design element 22 is marked with Δ°. The changed vehicle design element 22 is then displayed as the second-rank display image on the display means 4 in place of the first-rank display image described above in step Sll, and in step S12, the second-rank display image after this change is displayed. Inquire whether the image is satisfactory.

Then, the operator visually checks the second-ranked display image, and if it is not satisfied, returns to step S9 and re-enters the corrected evaluation term 25 of "unsatisfied" by key operation of the evaluation term input means 1. Similarly, steps 89 to 12 are re-executed by the action of the computer's CPU by the design changing means 5, and the partial regression coefficient (- 0.08
), the vehicle design element 22 of the category corresponding to the selected partial regression coefficient is extracted from the knowledge database 2, and becomes the vehicle design element 22 marked with the "mouth" mark at the bottom of Table 3, and the vehicle design element 22 of the category corresponding to the selected partial regression coefficient is extracted from the knowledge database 2. Each time the corrected evaluation term 25 of "unsatisfactory" is input, the third place display image is displayed on the display means 4 instead of the third place display image.
The displayed images on the display means 4 are sequentially switched to those with smaller partial regression coefficients that have not been selected so far in Table 3. And vehicle design element 2 that includes the one with the minimum partial regression coefficient.
After 2 is displayed, the revised evaluation term 25 is “unsatisfactory”.
is input, the display returns to the display image of the vehicle design element 22 having the first partial regression coefficient.

On the other hand, the display image on the display means 4 is changed by the above-mentioned design change operation, and the changed vehicle design element 22 is "suitable for runners" as the evaluation term 20 inputted by the user.
If the operator is satisfied with the image of ``satisfied'' (see step S12), input the satisfaction evaluation term 26 of ``satisfied°'' into the knowledge database in step S13 by operating a key different from the previous two on the evaluation term input means i. Then, in step S14, a degree of satisfaction corresponding to the degree of satisfaction (for example, a numerical value of 6) is input by operating the numeric keypad of the evaluation term input means 1.

Then, in step S15, the CPU of the computer by the knowledge database changing means 6 calculates the value of the partial regression coefficient of the category corresponding to the vehicle design element 22 that was changed immediately before inputting the satisfaction evaluation term 26, using the satisfaction level as a multiple. In step St6, it is determined whether the calculation result ranks first among the same items. If the calculation result ranks first among the same items, the calculation result and its date and time are stored in the knowledge database 2 in the knowledge 23 that defines the relationship between evaluation terms and vehicle design elements. The process is updated and the process returns to step S8. Specifically, assuming that the satisfaction evaluation term 26 "Satisfied" was input in the second time described above, the first item in the knowledge 23 that defines the relationship between the evaluation term and the vehicle design element shown in Table 3. The value of partial regression coefficient for 5 categories is ' 0.4
6X 6 K" (where K is a magnification coefficient), and the value of this calculated partial regression coefficient is the value of the partial regression coefficient of the 4th category in the 1st item of the same item "0.56
” If you rank first with the above, the input evaluation term 20
Since the priority of the vehicle design element 22 in the first item related to “suitable for runners” changes, update the partial regression coefficient of the fifth category in the first item to the value calculated above, and also register the date and time. .

Note that the present invention is not limited to the above-mentioned embodiments, and although not shown in the drawings, for example, a combination of interior parts including a TV with built-in stereo operation unit 1, an air conditioner outlet, an operation unit, etc. Vehicle interior design or wheels.

Wheel covers, front, rear and side spoilers
It goes without saying that the vehicle exterior design, which is a combination of exterior parts including fog lamps, drive lamps, special lamps, etc., can also be displayed as an image and used to enhance the image of the vehicle.

Furthermore, by changing the design elements 22 and evaluation terms 20 stored in the knowledge database 2, it can be applied as a design device that can be used in fields other than vehicles, such as a housing design device or a machine design device.

Furthermore, the number of items and the number of categories for each item are not limited to those in the above embodiment.

Effects of the Margin Invention As described above, according to the present invention, when the design element displayed on the display means does not match the image of the input evaluation term, when a modified evaluation term is input, the design change means changes to another design. Since the elements can be inferred and extracted from the knowledge database and displayed by the display means, a design that is always satisfactory can be recognized in the image display even if the meaning of the adjective as the input evaluation term changes over time.

[Brief explanation of drawings]

FIG. 1 is a block diagram showing an embodiment of the present invention, and FIG. 2 is a flowchart of the embodiment. ! ...Evaluation term input means (keyboard), 2.. Knowledge database (memory), 3.. Design selection means (memory), 4.. Display means (CRT), 5.. Design change means ( (memory), 6...Knowledge database changing means (memory), 20...Evaluation term, 2...Knowledge that defines the relationship between evaluation terms, 22...Vehicle design element, 23...Evaluation term Knowledge that defines the relationship between and vehicle design elements, 25... Modified evaluation terminology, 26...
- Satisfaction evaluation terms. Figure 2

Claims (2)

[Claims] (1) A design device that infers and extracts optimal vehicle design elements from a knowledge database based on evaluation terms input through the operation of an evaluation term input means, and displays the extracted design elements on a display means, which provides a modified evaluation. A design device comprising: a design change means for inferring and extracting another design element from a knowledge database by inputting a term, and displaying this in place of the design element displayed on the display means. (2) A design device that infers and extracts optimal vehicle design elements from a knowledge database based on evaluation terms input by operating an evaluation term input means, and displays the extracted design elements on a display means, the design device comprising: A design device comprising knowledge database changing means for updating a knowledge database by setting a design element changed by inputting a term as a design element most suitable for the input evaluation term.