JP2003203171A - Commodity order receiving system, commodity order receiving method, program for commodity order receiving system and recording medium for commodity order receiving system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To allow the user (purchaser) side to evaluate the function of a commodity before purchasing the commodity, and to allow a user to evaluate the function of the commodity by an inexpensive technique for the maker side. <P>SOLUTION: The user B downloads a simulation program from a maker A, and displays a virtual robot on a monitor 2 of a user terminal 1, and returns developed learning data to the maker A after developing the learning function by operating the virtual robot by a mouse 4. The maker A records the received learning data on an actual robot 7, and sells the robot to the user B. Thus, the user B can use the robot 7 of exclusively developing learning for himself from when purchasing the robot 7. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a merchandise order receiving system and merchandise order receiving system for receiving merchandise orders from user terminals via a communication network such as the Internet in order to sell merchandise to users of user terminals. The present invention relates to a method, a product ordering system program, and a product ordering system recording medium.

[0002]

2. Description of the Related Art With the progress of computer technology in recent years, products with various functions have been manufactured by manufacturers.
It is sold. With regard to these high-performance products, if the user (user) cannot master the functions even if the manufacturer tries to increase the product value by adding functions that are reasonably good, the product value will be understood. I've been sometimes criticized for being a bad product. In such a case, the user is apt to judge the product on the surface and tends to purchase a product which is inferior in function but inexpensive to the high-performance product. In this case, the efforts of the manufacturer may become a bubble.

Therefore, in order to solve such a problem, a method of disseminating the product value to the user by distributing the sample of the product to the user for use can be considered.

[0004]

However, in order to distribute the sample, there arises a problem that the labor cost of the distributor and the cost of holding an exhibition or the like for distribution are required. In addition, high-performance products are often expensive, so they are not suitable for distribution as ampoules.

The present invention has been made in view of the above-mentioned circumstances, and it is possible for the user side to evaluate the function of the product before purchasing the product, and at the same time, for the manufacturer side, an inexpensive method. The purpose is to give users the opportunity to evaluate the functions of products.

[0006]

In order to achieve the above object, the invention according to claim 1 is to sell a product to a user of a user terminal from the user terminal via a communication network. A merchandise order receiving system for receiving merchandise orders, wherein a simulation program recording means for recording a simulation program capable of operating a commodity on the user terminal in a simulated manner, and recording by the simulation program recording means. By allowing the user to evaluate the function of the product before purchasing the product by having a product order receiving means for receiving an order of the product from the user terminal of the user who has performed the simulation operation based on the simulation program. It is a product ordering system characterized by enabling the following.

Here, the "commodity ordering system" of the present invention
Includes not only the case where it is constructed by one computer, but also the case where it is constructed by two or more computers by dividing each means (or execution of each step or execution of each function).

The invention according to claim 2 is a product order receiving system for accepting an order of a product from the user terminal via a communication network in order to sell a product having a learning function to a user of the user terminal. It is possible to operate the product in a simulated manner on the user terminal,
Based on the simulation program recording means for recording the simulation program capable of performing the user's own learning during the simulation operation, and the simulation program recorded by the simulation program recording means. By having a product ordering unit that receives an order for a product from a user terminal of a user who has performed a simulated operation, and also receives learning data after the user's own learning is advanced,
It is possible to allow the user to evaluate the function of the product before purchasing the product, and based on the learning data received by the product ordering means, the learning function of the product is expanded to a user-specific one. It is a merchandise ordering system characterized by making it possible to store.

The invention according to claim 3 is to receive an order for a product from the user terminal via a communication network in order to sell a product for which various operation settings can be made to a user of the user terminal. The system records a simulation program that enables the user to operate the product in a simulated manner at the user terminal and can set the user's own operation settings during the simulated operation. The simulated program recording means and the user's user terminal that has performed the simulated operation based on the simulated program recorded by the simulated program recording means accept the product order and perform the operation unique to the user. By allowing the user to evaluate the function of the product before purchasing the product, it is possible to have the product order receiving means for receiving the operation setting data after the setting is determined. In the product ordering system, the operation setting of the product can be determined to be exclusive to the user based on the operation setting data received by the product ordering means. is there.

In order to sell the product to the user of the user terminal, the invention according to claim 4 uses a product ordering system that receives an order for the product from the user terminal via a communication network. And a simulation program recording step of recording a simulation program capable of simulated operation of a product at the user terminal, and a simulation recorded by the simulation program recording step. A product order receiving step of receiving a product order from a user terminal of a user who has performed a simulated operation based on a user program, and causing the product order receiving system to execute the function of the product before the user purchases the product. It is a product ordering method characterized by enabling evaluation.

In order to sell a product having a learning function to the user of the user terminal, the invention according to claim 5 is an order receiving system for accepting an order for a product from the user terminal via a communication network. A method of receiving an order for a product by using the method, wherein the product can be operated in a simulated manner on the user terminal, and the user's own learning is performed during the simulated operation. A simulation program recording step for recording a simulation program capable of performing a simulation program, and an order for a product is accepted from a user terminal of a user who has performed a simulation operation based on the simulation program recorded by the simulation program recording step. In addition, the product order receiving step of accepting learning data after the learning unique to the user is also performed by the product order receiving system. It is possible to allow the user to evaluate the function of the product before purchasing the product, and based on the learning data received in the product ordering step, the learning function of the product is expanded to the one dedicated to the user. It is a product ordering method characterized by enabling to store.

In order to sell a product for which various operation settings can be made to a user of the user terminal, the invention according to claim 6 receives a product order from the user terminal via a communication network. A method of receiving an order for a product by using a system, wherein the product can be operated in a simulated manner on the user terminal, and at the time of the simulated operation, an operation setting unique to the user can be set. A simulation program recording step of recording a simulation program that can be performed, and an order of products from a user terminal of a user who has performed a simulation operation based on the simulation program recorded by the simulation program recording step. And a product order receiving step for receiving the operation setting data after the user's own operation setting is determined, and the product order receiving system. By doing so, it is possible to allow the user to evaluate the function of the product before purchasing the product, and based on the operation setting data received in the product ordering step, the operation setting of the product can be made exclusive to the user. It is a product ordering method characterized in that it is possible to decide what to buy.

The invention according to claim 7 is a program used in a product ordering system for accepting an order for a product from the user terminal via a communication network in order to sell the product to a user of the user terminal. There is a simulation program recording function for recording a simulation program capable of operating the product in a simulated manner on the user terminal, and a simulation based on the simulation program recorded by the simulation program recording function. By allowing the product order receiving system to execute a product order receiving function that receives an order for a product from the user terminal of the user who performed the operation, it is possible to allow the user to evaluate the function of the product before purchasing the product. The product ordering system program is characterized by

Here, the "program" in the present invention refers to a program consisting of an ordered sequence of instructions suitable for processing by the commodity ordering system (computer), and is installed in the HDD, CD-RW, etc. of the computer. And those recorded on various recording media such as CD-ROM, DVD, FD, and computer HDD.

In order to sell a product having a learning function to a user of a user terminal, the invention according to claim 8 is a product order receiving system for accepting an order for a product from the user terminal via a communication network. A simulation program that is capable of operating a product in a simulated manner at the user terminal, and that allows the user to learn uniquely during the simulated operation. A program recording function for recording a simulation program and an order for a product from a user terminal of a user who has performed a simulation operation based on the simulation program recorded by the simulation program recording function, and the user uniquely By accepting the product ordering function that also accepts learning data after the learning of the
It is possible to allow the user to evaluate the function of the product before purchasing the product, and based on the learning data received by the product ordering function, the learning function of the product is advanced to the user-specific one. It is a program for a commodity ordering system, which is characterized by enabling to store.

The invention according to claim 9 is to receive an order for a product, which receives an order of a product from the user terminal via a communication network in order to sell a product for which various operation settings can be made to a user of the user terminal. It is a program used in the system, and it is possible to operate the product in a simulated manner at the user terminal, and to make a unique operation setting for the user at the time of the simulated operation. A program recording function for recording a recording program, and accepting an order for a product from a user terminal of a user who has performed a simulation operation based on the recording program recorded by the recording program for simulation, A product order receiving function that also accepts operation setting data after determining the operator's own operation settings, and It enables the user to evaluate the function of the product before purchasing the product, and determines the operation setting of the product to be exclusive to the user based on the operation setting data received by the product order receiving function. It is a program for a commodity ordering system, which is characterized by enabling to store.

The invention according to claim 10 relates to claims 7 to 9.
A recording medium for a merchandise ordering system readable by the merchandise ordering system, characterized in that the program for the merchandise ordering system according to at least one of the above is recorded.

Here, the "recording medium" in the present invention means that it can be used for reading a program for realizing each of the above-mentioned functions in a commodity ordering system (computer), and information is recorded as physical characteristics of the medium. It does not depend on the physical recording method such as how to record by using. For example, FD, CD-ROM (R, RW), DVD
-ROM (RAM, R, RW), MO, MD, magnetic tape, etc. are applicable.

[0019]

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 is a communication for the manufacturer (A) to use the product ordering system 8 according to the present embodiment to allow the user (B) to perform a simulated operation of the product and accept an order for the product. It shows Infrastructure. As shown in FIG. 1, the user (B) is the user terminal 1
Can communicate with the merchandise order receiving system 8 of the manufacturer (A) via a communication network such as the Internet.
The user terminal 1 is a PC (personal computer) or the like, and in addition to the monitor 2, the keyboard 3 and the mouse 4, the microphone 5 for inputting the user's (Otsu's) voice and the user's (Otsu) 's. A camera 6 for shooting a gesture is connected.

On the other hand, the merchandise order receiving system 8 is constructed by a server (computer) 9. The server 9 has a memory 9-1 storing a simulation program (p), which is a feature of the present invention, and an order information DB for managing order information (i) of products received from a user (B). (Data Base) 9-
2 are built. In addition, a program (p) causes an HD (Hard Disk) (not shown) of the user terminal 1 to store the data in FIG.
~ Various tables 10, 20, 30, 40, 5 shown in FIG.
0 will be constructed.

The product order receiving system 8 also stores a product order receiving system program (P) for causing the product order receiving system 8 to execute the steps described below.
In the present embodiment, the case where the user (B) purchases the robot 7 having the learning function is shown.

A product order receiving method using the product order receiving system 8 of this embodiment will be described with reference to FIGS. 2 and 14.

First, as shown in FIG. 2, the user (B) accesses the commodity ordering system 8 from the user terminal 1 via the Internet and downloads the simulation program (p) (step). S1).

Next, the user (B) starts the simulation program (p) on the user terminal 1 and operates the virtual robot 7'simulated in FIG. 9 to simulate the function of the robot 7. And the learning function of the robot 7 of which purchase is desired is expanded to its own (step S2). Note that this step S2 will be described in more detail later.

Next, the user (B) receives order information from the user terminal 1 to the product ordering system 8 via the Internet.
The robot 7 is ordered by transmitting (i) (step S3). The order information (i) also includes the learning data (d) which is the result of the learning progressed to the one dedicated to itself in step S2.

Next, the merchandise order receiving system 8 receives the order information (i) from the user terminal 1 to place a merchandise order (step S4). And the received order information
(i) is recorded and managed in the order information DB 9-2 (step S
5). Further, in the product order receiving system 8, the robot 7 in the state in which the user (Otsu) is allowed to perform learning unique to the robot by recording the learning data (d) included in the received order information (i) in the robot 7. 7 is completed (step S6).
The learning data (d) may be recorded as it is, or the processed data or the reflected data of the learning data (d) may be recorded.

The robot 7 completed as described above
Will be shipped to the user (B) from the manufacturer (A) directly or via a store or the like. Regarding the payment of the product price at this time, the credit card number or the like of the user may be transmitted when the order is placed in step S3, or the product price may be paid in exchange.

Next, the step S3 will be described in more detail below. In the following, the simulation program (p) will be described by dividing it into a plurality of programs (p1 to p4) for each function.

First, the user (B) is the virtual robot 7 '.
Not only to understand the functions of the robot 7 by operating the
When the user wants to be able to perform his / her desired posture pattern, the program (p1) is started on the user terminal 1. As a result, the user terminal 1 displays the operation pattern input screen 110 as shown in FIG. 3A on the monitor 2 and prompts the user (B) to input the operation pattern of the robot 7 (step S11). ). This operation pattern input screen 110 is the same as the operation pattern management table 1 described above.
It is a screen that visually represents the contents of 0, and input fields 111 and 11 for inputting the name of the operation pattern for each operation No.
2, 113, 114 and 115 are displayed. Although only five input fields 111 to 115 are displayed in the present embodiment, more or less than five fields may be displayed.

Next, the user (B) selects an arbitrary operation number (step S12), and as shown in FIG.
The operation pattern (text data) of the robot 7 is input in the input field related to the selected operation No. (step S1).
3). Here, the operation No. 1 is selected and its input field 11
1 shows the case where "sitting" is input. However, since only the processes of steps S11 to S13 are not associated with the posture pattern actually performed by the robot 7, the posture pattern performed by the robot 7 is created as the next process. Regarding the creation of this attitude pattern, it may be created completely new, or may be created using an already created and registered attitude pattern. Therefore, as the next process, the user (B) determines whether to use the posture pattern that has already been created and registered (step S1).
4). Here, as shown in FIG. 3A, since the posture pattern (motion pattern) is not registered at all, it is determined that the posture pattern is not used (No),
It proceeds to step S15.

Next, the user (Otsu) points the hand, foot, head, tail, etc. of the virtual robot 7'on the posture pattern creation screen displayed on the monitor 2 as shown in FIG. 9 (a). The posture pattern is created by designating with 90 and further moving the pointer 90 as shown in FIG. 9B (step S15). The posture pattern creation screen shown in FIG. 9 shows the robot 7 that the user (B) will purchase in the future.
It is a screen displaying a virtual robot 7'represented by G, etc., which is displayed on the monitor 2 by the operation of the keyboard (3) or mouse (4) by the user (B), and by the operation of the keyboard (3) or mouse (4). Hand of virtual robot 7 ',
You can move your feet. And the user terminal 1
Then, the process of recording the posture pattern created by this user (B) is performed (step S16).

Next, the user (B) determines whether or not to create the next posture pattern (step S17), and if the next posture pattern is also created (Yes), from the above step S14. Reprocess. On the other hand, if the next posture pattern is not created (No), the user terminal 1 links the motion pattern input in step S13 and the posture pattern recorded in step S16 to the HD of the user terminal 1. The data is recorded on (Hard Disk) and registered (step S18).

If the operation pattern has already been registered, the operation pattern input screen 110 as shown in FIG. 3B is displayed from the time of step S11. In such a case, it is possible to register a series of motions from the motion pattern “sitting” to the motion pattern “hand” as shown below. That is, in step S12, the operation No. 2 shown in FIG. 3B is selected, and further, in step S13, as shown in FIG. 3C, “sitting → hand” is input in the input field 112. . Here, since the posture pattern (motion pattern) “sitting” at the beginning of the series of motions is the same as the posture pattern already registered in the motion No. 1, it is convenient to use this registered posture pattern. is there. Therefore, in step S14, it is determined that the already registered posture pattern is used (Yes), and the user terminal 1 moves it to the monitor 2 as shown in FIG.
The operation pattern input screen 110 as shown in (b) is displayed. Here, the user (Otsu) selects the motion No. 1 in order to use the posture pattern “sitting”. However, since the posture pattern of the motion pattern “hand” at the end of the series of motion patterns is not created as it is, it is determined in step S17 that the next posture pattern is created (Yes), and the step S14 is performed again. Return to.

Next, in step S14, since the posture pattern "sitting" has already been used, it is determined that another posture pattern is not used (No), and the posture pattern "hand" is determined in step S15. create. Then, in step S16, the created posture pattern "hand" is recorded, and in step S17, it is determined that the next posture pattern is not created, and finally, in step S18, an operation pattern such as "sitting → hand". And the posture patterns related thereto are linked and recorded and registered.

By repeating the operation pattern input process as described above, a plurality of operation patterns can be input as shown in FIG. 3 (d).
In steps S12 and S13, not only a new motion pattern is added, but also the name of the motion pattern can be changed.

Next, the user (B) is the future robot 7
Robot 7 recognizes your voice when you purchase
When it is desired to be able to perform the posture pattern in response to it, the program (p2) is activated on the user terminal 1. As a result, the user terminal 1 displays the voice command input screen 120 as shown in FIG. 4 on the monitor 2 and prompts the user (B) to input a voice command (step S21). This voice command input screen 120
Is a screen visually showing the contents of the voice command management table 20, and input fields 121, 122, 123, 12 for inputting the names of voice commands for each registration No.
4,125 is displayed. In this embodiment, 5
Although only one input field 121-125 is displayed, it may be more or less.

Next, the user (B) selects an arbitrary registration number (step S22) and inputs his own voice command to the user terminal 1 (step S23). Here, a case is shown in which the registration command No. 1 is selected, and the voice command “face down” is input to the user terminal 1 by uttering “face down” toward the microphone 5. This input process is based on voice recognition (S
peech recognition). As a result, in the user terminal 1, as shown in FIG. 4B, in the display field 121 of the voice command input screen 120,
The voice command (text data) "prone" is displayed (step S24).

Next, the user (B) receives the above step S2.
It is judged whether or not the voice command displayed in 4 matches the word (voice command) uttered by the user (step S25), and if not (No), the process is repeated from step S23. I do. However, even if the user (Otsu) thinks that he / she has said the word “prone”, he / she may say “Suse” due to differences in dialects. In such a case, by the voice recognition technology, the voice command "Suse" is displayed in the display column 121, but the voice command is displayed in the display column 121 without performing the voice input again in step S23. Change the word "suse" to "prone". As a result, even if the user (Otsu) purchases the robot 7 in the future and utters "Suse", the robot recognizes that the voice command "Prone" has been input, so that the robot can be used from the beginning. It is possible to correspond to the pronunciation and dialect unique to the person (Otsu).

On the other hand, in step S25, if the voice command displayed in the display field 121 matches the word (voice command) uttered by the user (Yes),
In the user terminal 1, the registration No selected in step S22 and the voice command input in step S23 are linked and recorded in the HD or the like of the user terminal 1 and registered (step S26).

By repeating the voice command input process described above, a plurality of voice commands can be input as shown in FIG. 4C.
In the step S22, when the voice command already registered is changed, the corresponding registration No is selected.

Next, the user (B) is the robot 7 in the future.
If the robot 7 wants to recognize its own gesture at the time of purchase and can perform a posture pattern in response to the gesture, the program is executed on the user terminal 1.
Start (p3). As a result, the user terminal 1 displays the gesture input screen 130 as shown in FIG. 5A on the monitor 2 to prompt the user (B) to input the gesture (step S31). The gesture input screen 130 is a screen visually showing the contents of the gesture management table 30, and input fields 131, 132 for inputting the name of the gesture for each registration No.
133, 134, and 135 are displayed. Although only five input fields 131 to 135 are displayed in this embodiment, more or less than five fields may be displayed.

Next, the user (B) selects an arbitrary registration number (step S32) and inputs his / her gesture (text data) in the input field of the selected registration number (step S33). Here, a case is shown in which registration No. 1 ′ is selected and “diagonal arm down, palm down” is input in the input field 131. However, the above step S31
Since only the processing from S33 to S33 is not associated with the gesture posture performed by the actual user (B), the gesture posture performed by the user (B) is created as the next processing.
Regarding the creation of this gesture posture, it may be created entirely, or may be created using the gesture pose that has already been created and registered. Therefore, as the next process, the user (B) determines whether to use the gesture posture that has already been created and registered (step S34). Here, as shown in FIG. 5A, since the gesture (gesture posture) is not registered at all, it is determined that the gesture posture is not used (No), and the process proceeds to step S35.

Next, the user (B) makes a gesture posture toward the camera 6 of the user terminal 1 (step S35). This posture concretely expresses the content of the gesture (text data) input in step S33. Then, the user terminal 1 performs a process of photographing and recording the posture of the gesture made by the user (B) with the camera 6 (step S3).
6).

Next, the user (B) determines whether or not to make the next gesture posture (step S37). If the next gesture posture is also made (Yes), the process is repeated from step S34. I do. On the other hand, if the next gesture posture is not created (No), the gesture (text data) input in step S33 and the gesture posture recorded in step S36 are linked and recorded and registered in the user terminal 1. (Step S38).

If the gesture has already been registered, the gesture input screen 130 as shown in FIG. 5B is displayed from the time of step S31. In such a case, as shown below, it is possible to register a series of motions from the gesture “diagonal arm downward, palm downward” to the gesture “low arm forward, palm upward”. That is, in the above step S32, the registration No. 2'shown in FIG. 5B is selected, and further, in step S33, the input field 313 is set to "diagonal arm downward, palm downward facing → sitting in front of lower arm and palm upward". Enter. Here, the first gesture posture (gesture) “diagonal arm downward, palm downward” of this series of operations is the same as the gesture posture already registered in registration No. 1 ′. It is convenient to use. Therefore, in step S34, it is determined that the already registered gesture posture is used (Yes), and the user terminal 1 displays the gesture input screen 131 as shown in FIG. 4B on the monitor 2. Here, the user (Otsu) selects No1 in order to use the gesture pattern "diagonal arm downward, palm downward". Here, the user (Otsu) is registered No. 1 in order to use the gesture posture “diagonal arm downward, palm downward”.
Select. However, as it is, the posture pattern of the pattern of “Low posture, forearm, palm up” at the end of the series of motion patterns is not created, and therefore, the above step S
In 37, it is determined that the next gesture posture is to be made (Yes), and the process returns to step S34 again.

Next, in step S34, it is determined that another gesture posture is not used because the gesture posture "in a low posture, prone to the palm, and palm up" is already used (No). Create a posture "Low posture, forearm, palm up". Then, in step S36, the created gesture posture "a low posture, forearm and palm upward" is recorded, and it is determined in step S37 that the next gesture posture is not created. , The palm downward, the lower posture, the palm in the lower posture, the palm upward, and the gesture posture related thereto are linked and recorded in the HD or the like of the user terminal 1.

By repeating the above-described gesture input processing, a plurality of gestures can be input as shown in FIG. 5 (d).
In steps S32 and S33, not only a new gesture can be added, but also the name of the gesture can be changed.

By the way, the above steps S21 to S26,
In S31 to S40, the voice command and the gesture are registered.
It remains in a state not linked to the operation pattern input in 20. Therefore, it is necessary to perform the learning process of the virtual robot 7 ′ in order to link the registered voice command and gesture with the input motion pattern. Therefore, the user (Otsu) uses the program on the user terminal 1 to perform the learning process of the virtual robot 7 '.
Start (p4). As a result, the user terminal 1 starts the simulation for learning the virtual robot 7 ′ on the monitor 2 (step S41).

Next, the user (B) receives the above step S2.
1 to S26, while issuing any one of the voice commands registered in Steps S31 to S40, the user can perform any one of the gestures registered in Steps S31 to S40 through the microphone 5 and the camera 6. A voice command and a gesture are input to the terminal 1 (step S42). As a result, in the user terminal 1, the operation Nos. 1 to 5 of the management tables 50 and 60 shown in FIGS.
A motion pattern is randomly selected from among these (step S43). Then, in the user terminal 1, the above step S
The motion pattern selected by 43 is used as the virtual robot 7 '.
(Step S44). Incidentally, the above step S
The selection method at 43 will be described in more detail later.

Next, the user (B) receives the above step S4.
By observing the virtual robot 7 ′ that has operated in step 4, it is evaluated whether or not the operation of the virtual robot 7 ′ in step S44 matches the voice command and gesture input in step S42 (step S45). . This motion evaluation is "good", "bad",
It is selected from three of "not evaluated".

First, when it is determined that the motion evaluation is good, the user (Otsu) strokes the virtual robot 7'by moving the mouse 4 or the like (step S46). In the case of performing such an evaluation, for example, the above step S4
In response to the voice command "prone" input by the user (B) and the gesture "diagonal arm down, palm downward" in 2, the virtual robot 7'performs the operation pattern "prone" of operation No. 3 in step S44. That is the case. In such a case, the point of the voice command and the gesture is set to + (plus) 1 on the user terminal 1 (step S47). That is, in the record of registration No. 1 (down) of the voice command evaluation management table 50 shown in FIG. 6, 1 point is added to the field portion of operation No. 3 (down), and registration No. 1 of the gesture evaluation management table 60 shown in FIG. Add 1 point to the field part of operation No. 3 (prone) in the record of '(diagonal arm down, palm down).

On the other hand, when it is determined in step S45 that the motion evaluation is poor, the user (B) clicks the virtual robot 7'by clicking the mouse 5 or the like (step S48). In the case of performing such evaluation, for example, the virtual robot 7 ′ responds to the voice command “prone” input by the user (B) and the gesture “diagonal arm down, palm down” in step S42 described above. In step S44, the operation No.
This is a case where the operation pattern 1 "sitting" is performed. In such a case, the point of the voice command and the gesture is set to-(minus) 1 on the user terminal 1 (step S49). That is, in the record of registration No1 (down) of the voice command evaluation management table 50 shown in FIG. 6, one point is deleted from the field portion of operation No1 (sitting), and at the same time, registration of the gesture evaluation management table 60 shown in FIG. In the record of No1 '(diagonal arm down, palm down), one point is deleted from the field portion of operation No1 (sitting). still. Step S above
In 45, if the user (Otsu) determines that “no evaluation”, then the user does nothing (step S50).

As described above, by increasing or decreasing the points for each voice command and gesture, the upper limit value 10
Points, lower limit value- (minus) 10 points,
The voice command evaluation management table 50 and the gesture evaluation management table 60 are rewritten.

By repeating the simulation processing as described above, points are increased / decreased in the voice command evaluation management table 50 and the gesture evaluation management table 60, and a total of 20 points is set as the upper limit value. As 20 points are approached, the link between the registered voice command and gesture and the input motion pattern is strengthened.

Next, the step S43 will be described in more detail.

A certain probability of occurrence as shown in the process flow chart of FIG. 13 is involved in the selection of the operation pattern in step S43. That is, as shown in FIG. 13, in the user terminal 1, the operation point is added for each record of the voice command evaluation management table 50 and the operation point is added for each record of the gesture evaluation management table 60 (step S51). . And registration N
For each o1 and registration No. 1 ′, registration No2 and registration No2 ′, ..., Only the plus points at the respective operation points are added to calculate the added value A (step S52).

Next, in the user terminal 1, the above step S
It is determined whether the added value A in 52 is 20 points or more (step S53). If the added value A is 20 points or more (Yes), the occurrence probability according to each operation point (only plus points) α is calculated (step S54). That is, only the plus points are added, that is, the sum of the operation points is divided by the added value A calculated by ignoring the minus points. For example, registration No. 1 shown in FIG.
(Proof) voice command and registration No. shown in FIG.
Regarding the sum of the action points in the gesture of 1 '(obliquely downward arm, palm downward), the action 1 is (0
-1 =)-1 point, action 2 is (0-2 =)-2 points, action 3 is (10 + 10 =) 20 points, action 4
Will be described as (0 + 2 =) 2 points and operation 5 as (0 + 0 =) 0 points. If you add only positive points, that is, ignore negative points,
The added value A becomes (20 + 2 =) 22 points. Therefore, when the sum of the operation points is 0 or less, that is, in the case of the operations 1, 2, and 5, [0 (sum of the operation points) / 22
(Additional value A)] = 0, the occurrence probability α is calculated. Further, in the case of operation 3, [20 (sum of operation points) / 22 (addition value A)] = 0.090909 ...
Will be calculated. Furthermore, operation 4
In this case, the occurrence probability α of [2 (sum of operation points) / 22 (addition value A)] = 0.09090909 ... Is calculated.

On the other hand, if it is determined in step S53 that the added value A is less than 20 points (N
o) It is determined that the learning has not been completed completely, and a slight probability of occurrence is left even for an operation in which the sum of the operation points is 0 (zero) or less. Therefore, it is further determined whether the sum of the operation points is 0 or less (step S55). When the sum of the operation points is 0 or less, (Ye
s), the occurrence probability β is calculated by subtracting the addition value A from 20 which is the sum of the upper limit values, and then dividing by 20 which is the sum of the upper limit values and further dividing by the total number of operation patterns. This occurrence probability β is assigned to all motion patterns. In addition, in step S55, when it is determined that the sum of the operation points is not 0 or less, the occurrence probability γ calculated by dividing the sum of the operation points by 20 which is the sum of the upper limit values is added to the operation patterns. The probability of occurrence in this case is calculated by adding the probability of occurrence β assigned to (step S
56).

For example, registration No. 2 (sitting,
(Hand) voice command and registration No. shown in FIG.
The sum of the motion points in the gesture of 2 ′ (diagonal arm downward, palm downward → to the forearm in a low posture, palm upward) is the motion 1 (0-1 =)-1 point and the motion 2 (0-2 =)-2 points, operation 3 is (10 + 5)
=) 15 points, action 4 is (1 + 2 =) 3 points,
The motion 5 becomes (0 + 0 =) 0 points. Here, if only the plus points are added, that is, if the minus points are ignored, the added value A becomes (15 + 3 =) 18 points. Therefore, when the sum of the operation points is 0 or less, that is, in the case of the operations 1, 2, and 5, [20 (sum of upper limit values) -1
The occurrence probability β of 8 (addition value A)] / 20 (sum of upper limit values) × 1/5 (total number of operation patterns) = 0.02 is calculated. When the sum of the operation points is larger than 0, that is, in the case of the operation 3, [15 (sum of operation points of operation 3) / 20 (sum of upper limit values)] (γ) +0.
The probability of occurrence of 02 (β) = 0.77 is calculated. Further, in the case of operation 4, the same calculation as in the case of operation 3 is performed, and [3 (sum of operation points of operation 4) /
20 (sum of upper limits)] (γ) + 0.02 (β) = 0.2
An occurrence probability of 7 will be calculated.

As described above, since the probability of occurrence increases as the learning is repeated, the operation pattern performed by the virtual robot 7'is unified with respect to the voice command and the gesture input by the user (B). Be narrowed down. Thereby, the voice command and gesture registered above,
It is possible to strengthen the link with the input operation pattern.

The learning of the virtual robot 7'is shown in FIG.
And operation numbers 1 to 1 of the management tables 50 and 60 shown in FIG.
Since a motion No. (motion pattern) is randomly selected from 5 and only one motion point is added in one learning, learning must be performed many times until the upper limit value of 10 points is reached. I won't. Therefore, FIG.
It is possible to efficiently perform learning of the virtual robot 7 ′ by the modification example shown in FIG.

First, as in step S42, the user (B) inputs a voice command and a gesture into the user terminal 1 so that the user terminal 1 recognizes the voice command and the gesture (step S61). , 6
5). It should be noted that here, the voice command will first be described in steps S61 to S64, and then step S
The gesture will be described in 65 to S68.

First, when the user terminal 1 recognizes the voice command in the above step S61, the previous voice command and the user (B) evaluation recorded in the memory of the user terminal 1 are read (step S62). . And
In the user terminal 1, it is determined whether or not the voice command input this time is the same as the voice command input last time, and it is determined that the previous evaluation is good (step S63). In this determination, when it is determined that the voice command input this time is the same as the voice command input last time and the previous evaluation is determined to be good (Yes), the operation No. (operation pattern) The operation point in 10) is temporarily set to 10 points only in the calculation of the occurrence probability below (step S64). That is,
The points in the management table 50 shown in FIG. 6 are not forced to be 10 points, but are temporarily set to 10 points only in the calculation of the occurrence probability described below.

Further, with respect to the gesture, the same processing as in steps S61 to 64 is performed. That is, when the user terminal 1 recognizes the gesture in step S66, the previous gesture and the evaluation of the user (B) recorded in the memory of the user terminal 1 are read (step S66). Then, in the user terminal 1, it is determined whether or not the gesture input this time is the same as the gesture input last time, and it is determined that the previous evaluation is good (step S67). In this decision,
If the gesture input this time is the same as the gesture input last time and it is determined that the previous evaluation is good (Yes), the operation No.
The motion point in (motion pattern) is temporarily set to 10 points only in the calculation of the occurrence probability below (step S68). That is, the points in the management table 60 shown in FIG. 7 are not forced to be 10 points, but are temporarily set to 10 points only in the calculation of the occurrence probability described below.

As described above, by temporarily setting each operation point to 10 points (20 points in total),
Since the process of step S54 shown in FIG. 13 can be forcibly performed, it is possible to omit the occurrence probability β and further narrow down the operation pattern to be generated.

As described above, according to the present embodiment, the user terminal 1 can operate the robot 7 (virtual robot 7 ') in a simulated manner. It is possible to evaluate the function of the robot 7 before purchasing the robot 7. Moreover, since the virtual operation of the virtual robot 7'can be performed on the user terminal 1 without distributing the sample, the manufacturer (the customer side) can use the inexpensive method for the user (the customer) to purchase the product. The effect of being able to give an opportunity to have the function of is evaluated.

Further, in this embodiment, since the learning function can be advanced by using the virtual robot 7'in the user terminal 1, the user (Otsu) purchases the robot 7 from the user's end. The effect that (B) can be set so that it can be easily handled is achieved.

In the above embodiment, the case where the robot 7 having the learning function is ordered as an example of the product has been described.
gital Assistant) or the like. For example, in the case of a PDA, the operation setting of the default (Default) is determined to be exclusive to the user (B) so that the user (B) can easily handle it at the time of purchase.

If the order information (i) is not received in step S4 even after a lapse of a certain period after the download in step S1, the user (B) does not purchase the robot 7. And may be recorded in the order information DB 9-2 or the like. Furthermore, the user (B)
The above program so that the user can inquire about the reason why he / she does not purchase the robot 7 by e-mail, etc.
The destination of the electronic mail may be notified at the time of sending (p). By obtaining the feedback information in this way, the maker (A) can reflect it in the next product planning.

Further, the program (p) is recorded in the product ordering system 8 of the maker (A), and the user (B) uses the browser from the user terminal 1 to operate the virtual robot 7 '. May be enabled.
In this case, the various tables 10 shown in FIGS.
20, 30, 40, and 50 are built in the product order receiving system 8.

Recording of the product ordering system program (P) in the product ordering system 8 in the above embodiment,
Installation work is a product order system program
It is also possible to use a recording medium such as a CD-ROM in which (P) is recorded.

[0073]

As described above, according to the present invention,
Since the product can be simulated on the user terminal, the user can evaluate the function of the product before purchasing the product. Also, since it was made possible to perform a simulated operation on the user terminal without distributing the sample, the manufacturer side should be given the opportunity to have the user evaluate the function of the product with an inexpensive method. There is an effect that can be.

[Brief description of drawings]

FIG. 1 is a communication for accepting an order of a product by a manufacturer (A) of the present invention using a product ordering system 8 according to the present embodiment to allow a user (B) to perform a simulated operation of the product. Diagram showing Infrastructure.

FIG. 2 is a sequence diagram showing a product ordering method according to the present invention.

FIG. 3 is a diagram showing a table built in a user terminal 1 (or a product order receiving system 8).

FIG. 4 is a diagram showing a table built in a user terminal 1 (or a product order receiving system 8).

FIG. 5 is a diagram showing a table built in the user terminal 1 (or the product order receiving system 8).

FIG. 6 is a diagram showing a table constructed in the user terminal 1 (or the merchandise order receiving system 8).

FIG. 7 is a diagram showing a table built in the user terminal 1 (or the product order receiving system 8).

FIG. 8 is a flowchart showing an operation pattern setting process.

FIG. 9 is a diagram showing a screen for creating a posture pattern.

FIG. 10 is a flowchart showing registration processing of voice commands.

FIG. 11 is a diagram showing a gesture registration process.

FIG. 12 is a diagram showing a learning process for advancing the learning of the virtual robot 7 ′.

FIG. 13 is a diagram showing a learning process for advancing the learning of the virtual robot 7 ′.

FIG. 14 is a diagram showing a learning process for advancing the learning of the virtual robot 7 ′.

[Explanation of symbols]

1 user terminal 2 monitors 3 keyboard 4 mice 5 microphone 6 cameras 7 robots 7'Virtual robot 8 product ordering system 9 server (computer) 9-1 memory 9-2 Ordering information 10 Operation pattern management table 20 Voice command management table 30 Gesture management table 40 Voice command evaluation management table 50 Gesture evaluation management table 90 pointer 110 Operation pattern input screen 120 Voice command input screen 130 Gesture input screen (i) Order information (d) Learning data (p) Simulation program (P) Product ordering system program

Claims (10)

[Claims] 1. A product ordering system for accepting an order for a product from the user terminal via a communication network in order to sell the product to a user of the user terminal, wherein the user terminal simulates A simulation program recording means for recording a simulation program capable of operating a product, and a user terminal of a user who has performed a simulation operation based on the simulation program recorded by the simulation program recording means. A product order receiving system for accepting an order for a product from the product, which enables the user to evaluate the function of the product before purchasing the product. 2. A product ordering system for accepting an order for a product from the user terminal via a communication network in order to sell a product having a learning function to a user of the user terminal. And a simulation program recording means for recording a simulation program capable of operating the product in a simulated manner on the person terminal and performing the user's own learning during the simulation operation. Learning data after accepting an order for a product from a user terminal of a user who has performed a simulation operation based on the simulation program recorded by the simulation program recording means and developing the user's own learning By having the product order receiving means for accepting also, it is possible to allow the user to evaluate the function of the product before purchasing the product, and the product order receiving means. A product order receiving system, which enables the learning function of the product to be advanced to the user-specific one based on the learning data received by the user. 3. A merchandise ordering system for accepting an order for merchandise from the user terminal via a communication network in order to sell a merchandise for which various operation settings can be made to a user of the user terminal, A simulation program recording means for recording a simulation program capable of operating a product on a user terminal in a simulated manner and making the user's own operation setting during the simulated operation. And after accepting an order for a product from the user terminal of the user who has performed the simulation operation based on the simulation program recorded by the simulation program recording means and determining the operation setting unique to the user. By having a product order receiving means that also receives operation setting data, it is possible to allow the user to evaluate the function of the product before purchasing the product. Based on the operation setting data received by the product order receiving means,
A product ordering system, which enables operation settings of the product to be determined exclusively for the user. 4. A method of receiving an order for a product using a product order receiving system, which receives an order for a product from the user terminal via a communication network in order to sell the product to a user of the user terminal. And a simulation program recording step of recording a simulation program capable of simulated operation of the product at the user terminal, and a simulation based on the simulation program recorded by the simulation program recording step. It is possible to allow the user to evaluate the function of a product before purchasing the product by causing the product order receiving system to execute a product order receiving step of receiving a product order from the user terminal of the user who performed the operation. A method of ordering a product characterized by: 5. In order to sell a product equipped with a learning function to a user of a user terminal, a product ordering system that receives an order for the product from the user terminal via a communication network is used. A method for receiving an order, which is capable of operating a product in a simulated manner on the user terminal, and is capable of performing a user's own learning during the simulated operation. And a program recording step for recording a simulation program, and an order for a product is accepted from a user terminal of a user who has performed a simulation operation based on the simulation program recorded by the simulation program recording step, and the user uniquely The product ordering step of accepting learning data after learning is advanced, and the product ordering system to execute It is possible to evaluate the function of the product before entering the product, and based on the learning data received in the product ordering step, it is possible to advance the learning function of the product to the one dedicated to the user. A method of ordering a product characterized by: 6. A product ordering system that receives an order for a product from the user terminal via a communication network in order to sell a product for which various operation settings can be made to a user of the user terminal. A method of receiving an order, in which a product can be operated in a simulated manner on the user terminal, and a user-specific operation setting can be performed during the simulated operation. A program recording step for recording a program for recording, and an order of the product is accepted from the user terminal of the user who has performed the simulation operation based on the program for recording recorded by the program recording for simulation A product order receiving step in which the operation setting data after determining the user's own operation setting is also executed, It enables the user to evaluate the function of the product before purchasing the product, and determines the operation setting of the product to be exclusive to the user based on the operation setting data received in the product ordering step. A product ordering method characterized by enabling to store. 7. A program used in a product ordering system for accepting an order for a product from the user terminal via a communication network in order to sell a product to a user of the user terminal, the user comprising: A simulation program recording function for recording a simulation program capable of operating a product in a simulated manner at a terminal, and a user who performed a simulation operation based on the simulation program recorded by the simulation program recording function. By allowing the product order receiving system to execute a product order receiving function for receiving a product order from the user terminal, it is possible to allow the user to evaluate the function of the product before purchasing the product. Product ordering system program. 8. A program used in a product ordering system that receives an order for a product from the user terminal via a communication network in order to sell a product having a learning function to a user of the user terminal. And a simulation program for recording a simulation program capable of operating the product in a simulated manner at the user terminal and performing the user's own learning during the simulated operation. The recording function and the order of the product were accepted from the user terminal of the user who performed the simulation operation based on the simulation program recorded by the simulation program recording function, and the learning unique to the user was advanced. By allowing the product ordering system to execute the product ordering function that also accepts learning data afterwards, the product function can be evaluated by the user before purchasing the product. A product characterized by allowing the user to evaluate the product and, based on the learning data received by the product ordering function, allowing the learning function of the product to be advanced to the one dedicated to the user. Program for ordering system. 9. A program used in a product ordering system that receives an order for a product from the user terminal via a communication network in order to sell a product for which various operation settings can be made to a user of the user terminal. Therefore, it is possible to operate the product in a simulated manner on the user terminal, and to record a simulation program that allows the user to set the operation unique to the simulated operation. Program recording function and accepting an order for a product from a user terminal of a user who performed a simulation operation based on the simulation program recorded by the simulation program recording function, and setting operation unique to the user. By allowing the product ordering system to execute the product ordering function that also accepts the operation setting data after the decision, before the user purchases the product. It is possible to evaluate the function of a product, and it is possible to determine the operation setting of the product to be exclusive to the user based on the operation setting data received by the product ordering function. A product ordering system program characterized by. 10. A recording medium for a merchandise ordering system readable by the merchandise ordering system, wherein the program for the merchandise ordering system according to at least one of claims 7 to 9 is recorded.