Information processing device, information processing method, and program

Abstract

To gain sufficient cooperation on silent eating.SOLUTION: A CPU 11 of a sales data processing device 10 is configured to acquire sound pressure data indicative of the sound pressure level of sound collected at a customer table, determine the total conversation time at the customer table of customers based on the acquired sound pressure data, and derive a food and beverage charge on the basis of the determined total conversation time.SELECTED DRAWING: Figure 6

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] To prevent the spread of COVID-19, restaurants have begun calling on customers to "eat silently." This call generally involves posting posters inside the restaurant to raise awareness of infection control measures and asking customers to cooperate. While many customers follow the call and eat silently, some customers ignore the call and continue talking normally. Conversations while eating and drinking are often conducted without masks, which increases the risk of droplet infection within the restaurant. However, there is a problem in that it is difficult to point out conversations while eating and drinking, as this could lead to trouble. To address this issue, a menu stand with a warning function that issues a warning against loud conversations has been proposed (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Utility model registration No. 3231546 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the menu stand with a warning function disclosed in Patent Document 1 above issues a warning against loud conversations, which may lead to resistance to the warning and may result in insufficient cooperation in eating in silence.

[0005] The present invention has been made in consideration of such problems, and aims to obtain sufficient cooperation in silent eating. [Means for solving the problem]

[0006] In order to solve the above problems, the information processing device according to the present invention comprises: a sound pressure data acquisition means for acquiring sound pressure data indicating the sound pressure level of the sound collected in the audience seats; an identification means for identifying a total conversation time of the passengers in the seating area based on the sound pressure data acquired by the sound pressure data acquisition means; the total conversation time identified by the identifying means; and a coefficient according to the store's congestion level, and a derivation means for deriving the food and drink charge based on the above.

[0007] In order to solve the above problem, an information processing method according to the present invention includes: a sound pressure data acquisition step of acquiring sound pressure data indicating the sound pressure level of the sound collected in the audience seats; a determination step of determining a total conversation time of the customers in the seats based on the sound pressure data acquired by the sound pressure data acquisition step; the total conversation time identified by the identifying step; and a coefficient according to the store's congestion level, A derivation step of deriving a food and drink charge based on the above. The present invention is characterized by comprising:

[0008] In order to solve the above problem, the program according to the present invention comprises: Computer, a sound pressure data acquisition means for acquiring sound pressure data indicating the sound pressure level of sound collected in the audience seats; an identification means for identifying a total conversation time of the passengers in the seating area based on the sound pressure data acquired by the sound pressure data acquisition means; the total conversation time identified by the identifying means; and a coefficient according to the store's congestion level, A derivation means for deriving a food and drink charge based on the above. The present invention is characterized in that it functions as a [Effects of the Invention]

[0009] According to the present invention, it is possible to obtain sufficient cooperation in silent eating. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a schematic diagram of a silent eating cooperation discount system. [Figure 2] FIG. 2 is a block diagram showing the functional configuration of a sales data processing device. [Figure 3] FIG. 10 is a diagram showing an example of the contents of order information. [Figure 4] FIG. 2 is a block diagram showing the functional configuration of a microphone for detecting conversation. [Figure 5] FIG. 2 is a block diagram showing the functional configuration of an order terminal. [Figure 6] 10 is a flowchart showing a control procedure for silent eating cooperation discount processing. [Figure 7] FIG. 10 is an explanatory diagram of a method for determining the total conversation time while eating and drinking. [Figure 8] FIG. 10A is a diagram showing an example of a time-slot report, and FIG. 10B is a diagram showing an example of a coefficient according to the degree of congestion in each time slot. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0012] <Configuration of the Silent Eating Cooperation Discount System> First, the configuration of this embodiment will be described with reference to Fig. 1. Fig. 1 is a schematic diagram of a silent eating cooperation discount system 100 of this embodiment. This silent eating cooperation discount system 100 is a system that provides discount services to diners (customers) who cooperate with silent eating in restaurants that have introduced the system.

[0013] As shown in Fig. 1, the silent eating cooperation discount system 100 includes a sales data processing device (information processing device) 10, a conversation detection microphone 20, and an order terminal 30. The sales data processing device 10 is connected to each of the conversation detection microphone 20 and the order terminal 30 via short-range wireless communication using Bluetooth (registered trademark) Low Energy (BLE). Note that while Fig. 1 shows four conversation detection microphones 20, corresponding to the number of tables (number of seats) in the restaurant, the number of conversation detection microphones 20 is not particularly limited, and it is sufficient for the restaurant to have as many conversation detection microphones 20 as the number of tables.

[0014] The sales data processing device 10 is an ECR or the like that is installed in a restaurant and used for accounting, and is a device that registers data such as sales in response to input operations by a user (an operator of the sales data processing device 10).

[0015] Conversation detection microphones 20 are wireless microphones installed at each of tables (customer seats) No. 1 to No. 4 in the restaurant to collect sound at the corresponding table. Specifically, under the control of sales data processing device 10, conversation detection microphones 20 collect sound while customers are eating and drinking, and sequentially transmit sound pressure data indicating the sound pressure level of the collected sound to sales data processing device 10.

[0016] The order terminal 30 is a terminal device used by staff in a restaurant to take orders.

[0017] <Configuration of sales data processing device> Next, the functional configuration of the sales data processing device 10 will be described with reference to Fig. 2. Fig. 2 is a block diagram showing the functional configuration of the sales data processing device 10.

[0018] 2, the sales data processing device 10 includes a CPU (Central Processing Unit) 11, a RAM (Random Access Memory) 12, a storage unit 13, a short-range wireless communication unit 14, an input unit 15, a main body display unit 161, a customer display unit 162, a printing unit 17, and a drawer 18. The components of the sales data processing device 10 are connected via a bus 19.

[0019] The CPU 11 (sound pressure data acquisition means, identification means, derivation means, control means, customer number information acquisition means) is a processor that controls each part of the sales data processing device 10. The CPU 11 reads out a program stored in the storage unit 13, expands it in the RAM 12, and executes the program to perform various calculation processes.

[0020] The RAM 12 provides a working memory space for the CPU 11 and stores temporary data. The RAM 12 may include a non-volatile memory.

[0021] The storage unit 13 stores programs executed by the CPU 11 and various data including order information 131, which will be described later. The programs are stored in the storage unit 13 in the form of computer-readable program code. The storage unit 13 may be a storage device that does not require a power source to retain data, such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a flash memory.

[0022] FIG. 3 is a diagram showing an example of the contents of the order information 131. As shown in FIG. 3, order information for each customer seat (table) is recorded in the order information 131. The order information 131 has the following data items: "Table No.", "Number of customers (persons)", "Order", "Drinking time (minutes)", "Total conversation time (minutes)", and "Discount rate".

[0023] "Table No." indicates the table number at the restaurant. "Number of customers (people)" indicates the number of customers who have entered the restaurant. Information on each data item, "Table No." and "Number of customers (people)," is entered via the operation unit 34 of the order terminal 30 when a customer enters the restaurant, and is transmitted from the order terminal 30 to the sales data processing device 10.

[0024] An "order" represents a product ordered by a customer. When a product order is received from a customer, the information in the "order" data item is input via the operation unit 34 of the order terminal 30, and is transmitted from the order terminal 30 to the sales data processing device 10.

[0025] "Eating time (minutes)" indicates the amount of time spent eating and drinking when a customer eats and drinks at the corresponding seat. "Eating time (minutes)" records the length of the period (eating time) from when sound collection begins in step S3 of the silent eating cooperation discount processing described below to when sound collection ends in step S6. "Total conversation time (minutes)" indicates the total amount of conversation time while a customer eats and drinks at the corresponding seat. "Total conversation time (minutes)" records the total conversation time determined in step S7 of the silent eating cooperation discount processing described below. "Discount rate" indicates the silent eating cooperation discount rate. The discount rate derived in step S8 of the silent eating cooperation discount processing described below is recorded.

[0026] Returning to the explanation of the functional configuration of the sales data processing device 10, the short-range wireless communication unit 14 is a communication module having an antenna, a modulation / demodulation circuit, a signal processing circuit, etc., and performs wireless data communication via BLE between the short-range wireless communication unit 25 of the conversation detection microphone 20 and the short-range wireless communication unit 36 ​​of the order terminal 30.

[0027] The input unit 15 includes numeric keys, various function keys, etc., accepts key input by the user, and outputs the operation information to the CPU 11. For example, the input unit 15 accepts key input to the numeric keys, department keys, etc. when registering sales data.

[0028] The main body display unit 161 is a display device that enables a store clerk or the like operating the sales data processing device 10 to visually confirm information such as product prices and total prices. The main body display unit 161 is composed of an LCD (Liquid Crystal Display), an EL (Electro Luminescent) display, or the like, and displays various display information on the display screen under the control of the CPU 11.

[0029] The customer display unit 162 is a display device that allows customers to visually check information such as the total price of products (food and drink). The customer display unit 162 is configured with an LCD, an EL display, etc., and displays various display information on the display screen under the control of the CPU 11.

[0030] The printing unit 17 prints and outputs receipts, journals, etc. on paper in accordance with control signals output from the CPU 11.

[0031] The drawer 18 is a drawer for storing money, gift certificates, etc., and has an opening mechanism that opens under the control of the CPU 11.

[0032] <Configuration of the conversation detection microphone> Next, the functional configuration of the conversation detection microphone 20 will be described with reference to Fig. 4. Fig. 4 is a block diagram showing the functional configuration of the conversation detection microphone 20.

[0033] 4, conversation detection microphone 20 includes CPU 21, RAM 22, storage unit 23, sound pressure level measurement unit 24, and short-range wireless communication unit 25. The components of conversation detection microphone 20 are connected via bus 26.

[0034] The CPU 21 is a processor that controls each part of the conversation detection microphone 20. The CPU 21 reads out a program stored in the storage unit 23, loads it into the RAM 22, and executes the program to perform various arithmetic processing.

[0035] The RAM 22 provides a working memory space for the CPU 21 and stores temporary data. The RAM 22 may include a non-volatile memory.

[0036] The storage unit 23 stores various data such as programs executed by the CPU 21 and setting data. The programs are stored in the form of computer-readable program codes in the storage unit 23. As the storage unit 23, for example, a storage device such as a ROM (Read On Memory) is used.

[0037] The sound pressure level measuring unit 24 is composed of a microphone, a preamplifier, a frequency correction circuit, etc., and when collecting sound, the microphone picks up sounds from the surrounding audience seats and generates an electrical signal proportional to the sound pressure level of the sound. The electrical signal converted and output by the microphone is amplified by the preamplifier, and the amplified electrical signal is subjected to frequency weighting processing by the frequency correction circuit. Sound pressure data indicating the sound pressure level corresponding to the frequency-corrected electrical signal is then output to the CPU 21. The sound pressure data output to the CPU 21 is sequentially transmitted to the sales data processing device 10 via the short-range wireless communication unit 25.

[0038] The short-range wireless communication unit 25 is a communication module having an antenna, a modulation / demodulation circuit, a signal processing circuit, etc., and performs wireless data communication with the short-range wireless communication unit 14 of the sales data processing device 10 using BLE.

[0039] <Order terminal configuration> Next, the functional configuration of the order terminal 30 will be described with reference to Fig. 5. Fig. 5 is a block diagram showing the functional configuration of the order terminal 30.

[0040] 5, the order terminal 30 includes a CPU 31, a RAM 32, a storage unit 33, an operation unit 34, a display unit 35, and a short-range wireless communication unit 36. The various units of the order terminal 30 are connected via a bus 37.

[0041] The CPU 31 is a processor that controls each part of the order terminal 30. The CPU 31 reads out a program stored in the storage unit 33, loads it into the RAM 32, and executes the program to perform various arithmetic processing.

[0042] The RAM 32 provides a working memory space for the CPU 31 and stores temporary data. The RAM 32 may include a non-volatile memory.

[0043] The storage unit 33 stores various data such as programs executed by the CPU 31 and setting data. The programs are stored in the form of computer-readable program codes in the storage unit 33. As the storage unit 33, for example, a storage device such as a flash memory is used.

[0044] The operation unit 34 is configured to have a power button (not shown) and a home button (not shown) provided on the order terminal 30 main body, a touch sensor (not shown) provided on the display unit 35, etc., and accepts input operations from the user and outputs the operation information to the CPU 31.

[0045] The display unit 35 is configured with an LCD display or the like, and displays various information according to display information instructed by the CPU 31.

[0046] The short-range wireless communication unit 36 ​​is a communication module having an antenna, a modulation / demodulation circuit, a signal processing circuit, etc., and performs wireless data communication with the short-range wireless communication unit 14 of the sales data processing device 10 using BLE.

[0047] <Silent Eating Cooperation Discount Processing> Next, a control procedure for silent eating cooperation discount processing according to one aspect of the present embodiment will be described with reference to the flowchart of FIG.

[0048] As shown in FIG. 6, when the silent eating cooperation discount process is initiated, the CPU 11 of the sales data processing device 10 first determines whether or not eating and drinking start information has been input (step S1). Here, the eating and drinking start information is information indicating that a customer has started eating and drinking. In this embodiment, for example, a serving completion key (not shown) associated with each of tables No. 1 to No. 4 is provided in the input unit 15, and the above-mentioned eating and drinking start information is input to the CPU 11 upon operation of the serving completion key. Note that a key similar to the above-mentioned serving completion key may also be provided in the operation unit 34 of the order terminal 30, and upon operation of the key, eating and drinking start information may be transmitted to the sales data processing device 10 and input to the CPU 11.

[0049] In step S1, if it is determined that eating and drinking start information has not been input (step S1; NO), the CPU 11 advances the process to step S4.

[0050] Also, if it is determined in step S1 that eating and drinking start information has been input (step S1; YES), the CPU 11 determines whether or not there are multiple customers at the corresponding seat (table) based on the order information 131 in the memory unit 13 (step S2).

[0051] In step S2, if it is determined that the number of guests in the corresponding seat is not plural (step S2; NO), the CPU 11 advances the process to step S4.

[0052] Also, in step S2, if it is determined that there are multiple occupants in the corresponding seat (step S2; YES), the CPU 11 starts collecting sound using the conversation detection microphone 20 in that seat and acquires (receives) sound pressure data from the conversation detection microphone 20 (step S3).

[0053] Next, the CPU 11 determines whether or not eating and drinking completion information has been input (step S4). Here, the eating and drinking completion information is information indicating that the customer has finished eating and drinking. In this embodiment, the eating and drinking completion information is input to the CPU 11, for example, when a predetermined operation to start the transaction process in the sales data processing device 10 is performed via the input unit 15.

[0054] If it is determined in step S4 that the eating and drinking end information has not been input (step S4; NO), the CPU 11 advances the process to step S9.

[0055] Also, if it is determined in step S4 that information indicating the end of eating and drinking has been input (step S4; YES), the CPU 11 determines whether there are multiple customers at the corresponding seat (table) based on the order information 131 in the memory unit 13 (step S5).

[0056] In step S5, if it is determined that the number of customers at the corresponding seat is not multiple (step S5; NO), the CPU 11 proceeds to step S9. In other words, if there is only one customer (single customer), they are not eligible for the silent eating cooperation discount. Note that to eliminate the sense of unfairness compared to multiple customers who are eligible for the silent eating cooperation discount, single customers may be given a coupon or the like that can be used the next time they visit the restaurant.

[0057] Furthermore, in step S5, if it is determined that the number of guests in the corresponding seat is plural (step S5; YES), CPU 11 ends sound collection by conversation detection microphone 20 in the corresponding seat (step S6).

[0058] Next, CPU 11 determines the total conversation time within the period (eating time) from when sound collection starts in step S3 to when sound collection ends in step S6, based on the sound pressure data acquired during that period (eating time) (step S7). Specifically, as shown in Fig. 7, CPU 11 determines, based on the sound pressure data acquired during the eating time, the section in which the average sound pressure level obtained by averaging the sound pressure levels exceeds 60 dB, which is a general conversation level, as the conversation detection time, and determines the sum of the conversation detection times as the total conversation time.

[0059] Next, CPU 11 derives a discount rate based on the total conversation time during the meal time identified in step S7 (step S8). Specifically, CPU 11 derives a discount rate (silent eating cooperation discount rate) for the meal charges of the dining customers at the corresponding seats based on the following formula (1). CPU 11 then applies the derived discount rate to perform accounting for the meal charges (derives the meal charges). Discount rate = Upper limit of silent eating cooperation discount rate × (eating time - total conversation time) / eating time (1)

[0060] For example, if the upper limit of the silent eating cooperation discount rate is 10%, and the total conversation time is small (when people talked a little), such as when the eating and drinking time is 30 minutes and the total conversation time is 3 minutes, the discount rate will be 9 (= 10 × (30 - 3) / 30)%. On the other hand, if the total conversation time is large (when people talked mostly), such as when the eating and drinking time is 30 minutes and the total conversation time is 27 minutes, the discount rate will be 1 (= 10 × (30 - 27) / 30)%. Note that if the proportion of total conversation time in the eating and drinking time exceeds a predetermined value (for example, 50%), the discount rate may be set to 0%.

[0061] Next, the CPU 11 determines whether or not a predetermined termination operation (for example, an operation to turn off the power of the sales data processing device 10) has been performed (step S9).

[0062] In step S9, if it is determined that the predetermined ending operation has not been performed (step S9; NO), the CPU 11 returns the process to step S1 and repeats the subsequent processes.

[0063] Furthermore, in step S9, if it is determined that a predetermined ending operation has been performed (step S9; YES), the CPU 11 ends the silent eating cooperation discount process.

[0064] As described above, the CPU 11 of the sales data processing device 10 acquires sound pressure data indicating the sound pressure level of the sound collected at the customer seats (tables), determines the total conversation time of the customers at the seats based on the acquired sound pressure data, and derives the food and drink charges based on the determined total conversation time. Therefore, according to the sales data processing device 10, the shorter the total conversation time of customers at their seats, i.e., the more they cooperate with silent eating, the cheaper the food and drink charges can be. As a result, customers' willingness to cooperate with silent eating can be improved, and sufficient cooperation with silent eating can be obtained.

[0065] Furthermore, the CPU 11 of the sales data processing device 10 identifies the total conversation time of the customers while they are eating and drinking at their seats, and derives the meal charges based on the ratio of the total conversation time to the eating and drinking time. Therefore, the sales data processing device 10 determines the total conversation time that is expected to have taken place with the mask removed, and derives the meal charge based on the proportion of the total conversation time that is spent eating and drinking, so that the meal charge can be appropriately derived according to the degree of cooperation with eating in silence.

[0066] Furthermore, the CPU 11 of the sales data processing device 10 derives a discount rate for the food and drink price, including the food and drink charge. Therefore, according to the sales data processing device 10, the derived discount rate makes it easier to grasp the degree of contribution to silent eating cooperation, thereby further increasing customers' willingness to cooperate in silent eating.

[0067] Furthermore, when acquiring sound pressure data, the CPU 11 of the sales data processing device 10 acquires sound pressure data relating to sounds collected while the customer is eating and drinking, thereby enabling efficient determination of the total conversation time spent by the customer while eating and drinking.

[0068] In addition, the CPU 11 of the sales data processing device 10 controls the conversation detection microphone 20, and when it acquires eating and drinking start information indicating that a customer has started eating and drinking, it starts collecting sound using the conversation detection microphone 20, and when it acquires eating and drinking end information indicating that the customer has finished eating and drinking, it stops collecting sound using the conversation detection microphone 20 and acquires sound pressure data related to the sound collected during the period when sound was collected by the conversation detection microphone 20. Therefore, when acquiring sound pressure data, the sales data processing device 10 does not require processing such as separating sound pressure data related to sounds collected while a customer is eating and drinking from sound pressure data related to sounds collected outside of eating and drinking hours, thereby simplifying the acquisition of sound pressure data related to sounds collected while the customer is eating and drinking.

[0069] Furthermore, the CPU 11 of the sales data processing device 10 acquires customer number information indicating the number of customers, and when the number of customers indicated by the customer number information is more than one, starts collecting sound using the conversation detection microphone 20. Therefore, according to the sales data processing device 10, the silent eating cooperation discount can be effectively utilized by making it applicable only to multiple customers who are expected to talk while eating and drinking.

[0070] Furthermore, the CPU 11 of the sales data processing device 10 determines the interval in which the average sound pressure level obtained by averaging the sound pressure levels exceeds 60 dB as the conversation detection time, and identifies the sum of the conversation detection times as the total conversation time, thereby enabling the total conversation time to be accurately determined.

[0071] Although the present invention has been specifically described above based on the embodiments, the present invention is not limited to the above embodiments and can be modified within the scope of the invention. For example, in the above embodiment, the discount rate for the customer's food and drink bill is calculated based on the ratio of the customer's total conversation time to the total eating and drinking time, but the discount rate is not limited to the food and drink bill, and the discount amount (discount amount) for the food and drink bill may be calculated, or the discount rate or discount amount of a discount coupon to be given to the customer may be calculated.Furthermore, the number of points that can be used at a restaurant may be calculated.

[0072] Furthermore, in the above embodiment, when deriving the discount rate (silent eating cooperation discount rate), the discount rate may be derived by applying a coefficient according to the degree of congestion at the restaurant. Specifically, as shown in FIGS. 8(a) and 8(b), a coefficient according to the degree of congestion at each predetermined time period is derived based on a time period report on the restaurant's past sales (e.g., the previous day, the previous week, etc.). The discount rate is then derived based on the following formula (2). Note that the coefficient may also be derived from the current seating occupancy obtained from order information 131, etc. Discount rate = Silent eating cooperation discount rate upper limit × {(eating time - total conversation time) / eating time} × coefficient ···(2)

[0073] For example, if the upper limit of the silent eating cooperation discount rate is 10%, the eating and drinking time is 30 minutes, and the total conversation time is 3 minutes, and the eating and drinking time is 11:00 to 12:00, the discount rate will be 9 (= {10 × (30 - 3) / 30} × 1)%. On the other hand, if the eating and drinking time is 08:00 to 09:00, the discount rate will be 0.9 (= {10 × (30 - 3) / 30} × 0.1)%.

[0074] Furthermore, in the above embodiment, when it is determined that information to start eating and drinking has been input (step S1; YES), sound collection by the conversation detection microphone 20 at the corresponding seat is started and sound pressure data is acquired (received) from the conversation detection microphone 20 (step S3). However, when an order for a product is received from a customer eating and drinking at that seat and information about the product is recorded in the "order" data item of the order information 131, sound collection by the conversation detection microphone 20 at the corresponding seat may be started and sound pressure data may be acquired (received) from the conversation detection microphone 20.

[0075] Furthermore, in the above embodiment, the silent eating cooperation discount is limited to customers with multiple customers, but the silent eating cooperation discount may also be applicable to customers who are single.

[0076] In the above embodiment, the conversation detection time is defined as the interval during which the average sound pressure level, obtained by averaging the sound pressure levels, exceeds 60 dB. However, the method for determining the conversation detection time is not particularly limited. For example, the conversation start time may be defined as the timing a predetermined time before the sound pressure level exceeds 60 dB, and the conversation end time may be defined as the timing when the sound pressure level falls below 60 dB and remains below 60 dB for a predetermined time, with the period from the conversation start time to the conversation end time being defined as the conversation detection time. Furthermore, in such a case, the conversation detection time may be weighted according to the average sound pressure level over the conversation detection time.

[0077] In addition, in the above embodiment, the silent eating cooperation discount rate is derived based on the above-mentioned formula (1), but for example, if the eating and drinking time is below a predetermined threshold, a predetermined discount rate may be added when deriving the silent eating cooperation discount rate.

[0078] In the above embodiment, an example was disclosed in which the HDD, SSD, or flash memory of the storage unit 13 of the sales data processing device 10 was used as a computer-readable medium for the program according to the present invention, but this is not limiting. Portable recording media such as CD-ROMs can also be used as other computer-readable media. Furthermore, carrier waves can also be used as a medium for providing the program data according to the present invention via a communication line.

[0079] Although the embodiments of the present invention have been described, the scope of the present invention is not limited to the above-described embodiments, but includes the scope of the invention described in the claims and its equivalents. The inventions described in the claims originally attached to this application are as follows. The claim numbers described in the appendix are the same as those of the claims originally attached to this application. [Note] <Claim 1> a sound pressure data acquisition means for acquiring sound pressure data indicating the sound pressure level of the sound collected in the audience seats; an identification means for identifying a total conversation time of the passengers in the seating area based on the sound pressure data acquired by the sound pressure data acquisition means; a derivation means for deriving a meal charge based on the total conversation time determined by the determination means; An information processing device comprising: <Claim 2> The specifying means specifies a total conversation time of the customer while eating and drinking at the seat, The calculation means calculates the meal charge based on the ratio of the total conversation time to the meal time. 2. The information processing device according to claim 1, <Claim 3> The deriving means derives a discount amount, which is a discount rate or a discount amount of the charge including the food and drink charge of the customer, or a discount amount, which is a discount rate or a discount amount of a discount coupon to be given to the customer. 3. The information processing device according to claim 2, wherein: <Claim 4> The sound pressure data acquisition means acquires, as the sound pressure data, sound pressure data related to sounds collected while the customer is eating and drinking. 4. The information processing device according to claim 1, wherein the information processing device is a computer. <Claim 5> a control means for controlling at least one microphone that collects sound in the audience seats; The control means starts collecting sound by the microphone when it receives eating and drinking start information indicating that the customer has started eating and drinking, and stops collecting sound by the microphone when it receives eating and drinking end information indicating that the customer has finished eating and drinking, the sound pressure data acquisition means acquires sound pressure data relating to the sound collected during a period in which the sound is collected by the microphone; 5. The information processing device according to claim 4. <Claim 6> a customer number information acquisition means for acquiring customer number information indicating the number of customers; the control means starts collecting sound by the microphone when the number of customers indicated by the customer count information is a plurality of customers. 6. The information processing device according to claim 5, <Claim 7> the specifying means determines a section in which an average sound pressure level obtained by averaging the sound pressure levels exceeds a predetermined value as a conversation detection time, and specifies the sum of the conversation detection times as the total conversation time. 7. The information processing device according to claim 4, wherein the information processing device is a computer. <Claim 8> The derivation means applies a coefficient according to the degree of congestion of the store to derive the food and drink charge. 8. The information processing device according to claim 1, wherein the information processing device is a computer. <Claim 9> a coefficient derivation means for deriving the coefficients, The coefficient deriving means derives a coefficient corresponding to the degree of congestion for each predetermined time period based on a time period report on past sales of the store. 9. The information processing device according to claim 8, <Claim 10> a sound pressure data acquisition step of acquiring sound pressure data indicating the sound pressure level of the sound collected in the audience seats; a determination step of determining a total conversation time of the customers in the seats based on the sound pressure data acquired by the sound pressure data acquisition step; a derivation step of deriving a meal charge based on the total conversation time specified in the specification step; An information processing method comprising: <Claim 11> Computer, a sound pressure data acquisition means for acquiring sound pressure data indicating the sound pressure level of sound collected in the audience seats; an identification means for identifying a total conversation time of the passengers in the seating area based on the sound pressure data acquired by the sound pressure data acquisition means; a derivation means for deriving a meal charge based on the total conversation time specified by the specification means; A program characterized by functioning as [Explanation of symbols]

[0080] 100 Silent Eating Cooperation Discount System 10 Sales data processing device (information processing device) 11 CPU 12 RAM 13 Storage section 131 Order Information 14 Near Field Wireless Communication Department 15 Input section 161 Main unit display 162 Customer display 17 Printing Department 18 Drawer 20 Conversation detection microphone (microphone) 21 CPU 22 RAM 23 Memory section 24 Sound pressure level measurement section 25 Near Field Wireless Communication Department 30 Order terminals 31 CPU 32 RAM 33 Memory Department 34 Operations Department 35 indicates the section 36. Short-Range Wireless Communication Unit

Claims

1. a sound pressure data acquisition means for acquiring sound pressure data indicating the sound pressure level of the sound collected in the audience seats; an identification means for identifying a total conversation time of the passengers in the seating area based on the sound pressure data acquired by the sound pressure data acquisition means; a derivation means for deriving a food and drink charge based on the total conversation time identified by the identification means and a coefficient according to the degree of congestion of the store; An information processing device comprising:

2. a coefficient derivation means for deriving the coefficients, The coefficient deriving means derives a coefficient corresponding to the degree of congestion for each predetermined time period based on a time period report on past sales of the store.

2. The information processing apparatus according to claim 1, wherein:

3. a sound pressure data acquisition step of acquiring sound pressure data indicating the sound pressure level of the sound collected in the audience seats; a determination step of determining a total conversation time of the customers in the seats based on the sound pressure data acquired by the sound pressure data acquisition step; a derivation step of deriving a food and drink charge based on the total conversation time identified in the identification step and a coefficient according to the degree of congestion of the store; An information processing method comprising:

4. Computer, a sound pressure data acquisition means for acquiring sound pressure data indicating the sound pressure level of sound collected in the audience seats; an identification means for identifying a total conversation time of the passengers in the seating area based on the sound pressure data acquired by the sound pressure data acquisition means; a derivation means for deriving a food and drink charge based on the total conversation time identified by the identification means and a coefficient according to the degree of congestion of the store; A program characterized by functioning as

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