WO2021214819A1 - 価格算出装置 - Google Patents

価格算出装置 Download PDF

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Publication number
WO2021214819A1
WO2021214819A1 PCT/JP2020/017029 JP2020017029W WO2021214819A1 WO 2021214819 A1 WO2021214819 A1 WO 2021214819A1 JP 2020017029 W JP2020017029 W JP 2020017029W WO 2021214819 A1 WO2021214819 A1 WO 2021214819A1
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Prior art keywords
price
unit
user
price calculation
calculation device
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PCT/JP2020/017029
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English (en)
French (fr)
Japanese (ja)
Inventor
之子 田渕
隆 永田
暁広 中村
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NEC Corp
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NEC Corp
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Priority to JP2022516475A priority Critical patent/JP7501614B2/ja
Priority to US17/918,965 priority patent/US20230237544A1/en
Priority to PCT/JP2020/017029 priority patent/WO2021214819A1/ja
Publication of WO2021214819A1 publication Critical patent/WO2021214819A1/ja
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors

Definitions

  • the present invention relates to a price calculation device, a price calculation method, and a recording medium.
  • Patent Document 1 describes a charge presentation device including a price condition presentation unit, a satisfaction measurement unit, and a charge calculation unit.
  • the satisfaction measuring unit measures the satisfaction of the provided consumer with respect to the product when the consumer receives the product based on the conditions presented by the price condition presenting unit. do.
  • the charge calculation unit calculates and presents the charge (price) of the product based on the conditions and the satisfaction level.
  • the time to receive the service may include time other than the service itself, such as break time, travel time, and explanation time.
  • time other than the service itself such as break time, travel time, and explanation time.
  • an object of the present invention is to provide a price calculation device, a price calculation method, and a recording medium that solve the problem that it may be difficult to perform an appropriate price estimation.
  • the price calculation device which is a form of the present disclosure, is A status information acquisition unit that acquires status information indicating the status of users who are receiving services, A status information acquisition unit that acquires status information indicating the status of the user, A calculation unit that calculates the price of the service based on the status information acquired by the status information acquisition unit and the status information acquired by the status information acquisition unit. It has a structure of having.
  • the price calculation method which is another form of the present disclosure, is The price calculation device Acquire status information indicating the status of the user who is receiving the service, Acquire the situation information indicating the situation of the user, and The price of the service is calculated based on the acquired status information and the acquired status information.
  • the recording medium which is another form of the present disclosure is For the price calculation device A status information acquisition unit that acquires status information indicating the status of users who are receiving services, A status information acquisition unit that acquires status information indicating the status of the user, A calculation unit that calculates the price of the service based on the status information acquired by the status information acquisition unit and the status information acquired by the status information acquisition unit. It is a computer-readable recording medium on which a program for realizing the above is recorded.
  • FIG. 1st Embodiment of this disclosure It is a figure which shows the structural example of the price calculation system in 1st Embodiment of this disclosure. It is a block diagram which shows the structural example of the price calculation apparatus shown in FIG. It is a figure for demonstrating an example of the situation information. It is a figure for demonstrating an example of satisfaction information. It is a figure for demonstrating the processing example of the price estimation part. It is a figure which shows the output example by an output part. It is a block diagram which shows the configuration example of a wearable sensor. It is a block diagram which shows the configuration example of a smartphone. It is a flowchart which shows the operation example of the price calculation apparatus in 1st Embodiment of this disclosure. It is a block diagram which shows the other configuration example of a price calculation device.
  • FIG. 1 is a diagram showing a configuration example of the price calculation system 100.
  • FIG. 2 is a block diagram showing a configuration example of the price calculation device 200.
  • FIG. 3 is a diagram for explaining an example of the situation information 225.
  • FIG. 4 is a diagram for explaining an example of satisfaction information 226.
  • FIG. 5 is a diagram for explaining a processing example of the price estimation unit 234.
  • FIG. 6 is a diagram showing an output example by the output unit 235.
  • FIG. 7 is a block diagram showing a configuration example of the wearable sensor 300.
  • FIG. 8 is a block diagram showing a configuration example of the smartphone 400.
  • FIG. 9 is a flowchart showing an operation example of the price calculation device 200.
  • 10 and 11 are block diagrams showing other configuration examples of the price calculation device 200.
  • FIG. 12 is a diagram showing another configuration example of the price calculation system 100.
  • the price calculation system 100 for calculating the price of the service provided by the user will be described.
  • information indicating the user's state such as time-series data sensed by the wearable sensor 300 while receiving the service and the user receiving the service are provided. Get information that shows the status of.
  • the price calculation system 100 determines the price based on the information indicating the state of the user and the information indicating the situation. For example, the price calculation system 100 estimates the user's satisfaction with the service based on the information indicating the state of the user. Then, the price calculation system 100 calculates the price of the service based on the estimated satisfaction level and the weight according to the information indicating the user's situation.
  • the services for which the price calculation system 100 calculates the price include, for example, providing meals at restaurants, traveling to temples and hot springs, staying at hotels, watching live performances and movies, yoga, etc. It includes services that take some time to provide, such as online schools for student learning.
  • the price calculation system 100 may determine prices for services other than those illustrated above.
  • FIG. 1 shows a configuration example of the price calculation system 100.
  • the price calculation system 100 includes, for example, a price calculation device 200, a wearable sensor 300, and a smartphone 400.
  • the wearable sensor 300 is attached to the arm or the like of the user who receives the service, and the user has the smartphone 400.
  • the wearable sensor 300 and the smartphone 400 are connected so as to be able to communicate with each other by using, for example, a short-range radio such as Bluetooth (registered trademark).
  • the smartphone 400 and the price calculation device 200 are connected so as to be able to communicate with each other by using wireless communication such as Wi-FI (registered trademark) or 4G or 5G.
  • the price calculation device 200 is an information processing device that calculates the price of the service provided by the user by using the data sensed by the wearable sensor 300.
  • FIG. 2 shows a configuration example of the price calculation device 200.
  • the price calculation device 200 has, for example, a communication I / F unit 210, a storage unit 220, and an arithmetic processing unit 230 as main components.
  • the communication I / F unit 210 is composed of a data communication circuit.
  • the communication I / F unit 210 performs data communication with the connected smartphone 400 and other external devices.
  • the storage unit 220 is a storage device such as a hard disk or a memory.
  • the storage unit 220 stores processing information and a program 228 required for various processes in the arithmetic processing unit 230.
  • the program 228 realizes various processing units by being read and executed by the arithmetic processing unit 230.
  • the program 228 is read in advance from an external device or a recording medium via a data input / output function such as the communication I / F unit 210, and is stored in the storage unit 220.
  • the main information stored in the storage unit 220 includes, for example, a satisfaction estimation model 221, a price calculation model 222, price information 223, sensing data 224, status information 225, satisfaction information 226, and result information 227.
  • the satisfaction estimation model 221 is used to estimate the satisfaction level indicating whether or not the user receiving the service is satisfied with the service based on the data sensed by the wearable sensor 300. It is a finished model. For example, the satisfaction estimation model 221 inputs the information corresponding to the data indicated by the sensing data 224 and outputs the satisfaction.
  • the satisfaction estimation model 221 is generated in advance by, for example, performing machine learning using a neural network in an external device or the like. For example, the satisfaction estimation model 221 is acquired from an external device or the like via the communication I / F unit 210 or the like, and is stored in the storage unit 220.
  • the information input to the satisfaction estimation model 221 may be the data itself indicated by the sensing data 224, or may be data calculated based on the sensed data.
  • the sensing data 224 indicates, for example, the pulse rate of the user at each time.
  • the information input to the satisfaction estimation model 221 may be, for example, the pulse rate itself, or the peak sensation (PPI: Pulse Peak Interval) of the pulse wave calculated based on the pulse rate, or the PPI.
  • PPI Pulse Peak Interval
  • Various feature quantities such as mean, standard deviation, coefficient of variation, square root of squared mean, and frequency component, which are calculated by cutting out each predetermined range and performing heart rate variability analysis, may be used.
  • the satisfaction level estimated by using the satisfaction level estimation model 221 can be an index corresponding to emotions according to the type of service.
  • satisfaction includes the types of services and services that users receive, such as the degree of fear in a haunted house, the degree of laughter at a laughing live, and the degree of stress release (relaxation) at esthetics and massage. It may include things that correspond to the corresponding emotions.
  • the price calculation model 222 is a trained model used when calculating the price based on the satisfaction output by using the satisfaction estimation model 221. For example, the price calculation model 222 inputs the satisfaction level, the price information 223, and the weight according to the user's situation indicated by the situation information 225, and sets the price as the consideration for the service provided by the user. Output.
  • the price calculation model 222 may output one price, or may output a plurality of prices such as three.
  • the price calculation model 222 is generated in advance by, for example, performing machine learning using a neural network in an external device or the like. For example, the price calculation model 222 is acquired from an external device or the like via the communication I / F unit 210 or the like, and is stored in the storage unit 220.
  • Price information 223 includes information indicating the list price of the service. For example, in the price information 223, the identification information for identifying the service and the list price of the service are associated with each other.
  • the price information 223 may include information other than the fixed price, such as the lowest price indicating the lowest price estimated by the price calculation unit 234 and the highest price indicating the highest price.
  • the sensing data 224 includes time-series data sensed by the wearable sensor 300 while the user is receiving the service.
  • the wearable sensor 300 senses the pulse rate of the user as information indicating the state of the user who is receiving the service. Therefore, in the sensing data 224, the data indicating the heart rate of the user sensed by the wearable sensor 300 and the time information indicating the sensed time are associated with each other.
  • the sensing data 224 corresponds to the data sensed by the wearable sensor 300. Therefore, for example, when the wearable sensor 300 senses the sweating amount of the user as information indicating the state of the user, the sensing data 224 includes data indicating the sweating amount.
  • the sensing data 224 may include data other than the above-exemplified data corresponding to the data sensed by the wearable sensor 300.
  • the status information 225 includes information indicating the status of the user who is receiving the service.
  • the status information 225 includes information indicating the behavior of the user receiving the service at each time.
  • FIG. 3 shows an example of the situation information 225.
  • the situation information 225 for example, the time information indicating the time and the situation content information indicating the user's situation are associated with each other.
  • the first line of FIG. 3 shows that the status of the user receiving the service is " ⁇ " from "9:00:00 to 10:00".
  • the situation content information is information indicating what kind of situation the user was in and what kind of behavior he / she was doing at the corresponding time.
  • the status information is "on the move", “on tour”, “waiting for meals”, “during meals”, “watching”, “listening to the lecturer's explanation”, “during yoga”, etc. It shows the user's situation at the corresponding time according to the service that the user is receiving.
  • the situation content information shows more subdivided situations and more detailed actions such as "while XX part of the facility is being visited", “while watching Chapter 00", and "during yoga ZZ pose". I do not care.
  • the situation content information can include information other than those illustrated above.
  • the situation content information can include information indicating the position of the user as information indicating the behavior of the user.
  • Satisfaction information 226 shows the user's satisfaction at each time estimated using the satisfaction estimation model 221.
  • the satisfaction level information 226 may be stored in the storage unit 220 in association with the situation content information indicated by the situation information 225. As shown in FIGS. 3 and 4, in the status information 225, the time information and the status content information are associated with each other. Therefore, it can be said that the satisfaction level information 226 indicates the user's satisfaction level in each situation of the user indicated by the situation content information.
  • the result information 227 includes information indicating the price calculated by the price calculation unit 234, information indicating the price determined by the user as a result of output by the output unit 235, and the like. As will be described later, the information included in the result information 227 can be used by the price calculation unit 234 when calculating the price.
  • the arithmetic processing unit 230 has a microprocessor such as an MPU and its peripheral circuits.
  • the arithmetic processing unit 230 reads the program 228 from the storage unit 220 and executes it, thereby realizing various processing units in cooperation with the hardware and the program 228.
  • the main processing units realized by the arithmetic processing unit 230 include, for example, a sensing data acquisition unit 231, a status information acquisition unit 232, a satisfaction estimation unit 233, a price calculation unit 234, and an output unit 235.
  • the sensing data acquisition unit 231 acquires the data sensed by the wearable sensor 300 from the smartphone 400 via the communication I / F unit 210. For example, the sensing data acquisition unit 231 acquires data indicating the pulse rate sensed by the wearable sensor 300 from the smartphone 400. Then, the sensing data acquisition unit 231 stores the acquired data in the storage unit 220 as sensing data 224 in association with, for example, the data acquisition date and time (information indicating the time).
  • the status information acquisition unit 232 acquires information indicating the status of the user who is receiving the service. For example, the status information acquisition unit 232 acquires information according to the action taken by the user as information indicating the status of the user who is receiving the service. Then, the status information acquisition unit 232 stores the acquired information as the status information 225 in the storage unit 220.
  • the status information acquisition unit 232 can acquire information indicating the user's situation by acquiring the action schedule information indicating the user's action schedule. Specifically, for example, the status information acquisition unit 232 acquires schedule information indicating the user's action schedule from the scheduler of the external device owned by the service provider or the like via the communication I / F unit 210.
  • the schedule information is information in which the time information and the information indicating the status of the user scheduled at the time indicated by the time information are associated with each other. For example, the schedule information is from "10:00 to 11:00", while the user is "on the tour", from "17:30 to 18:30".
  • the status information acquisition unit 232 can acquire information indicating the user's status based on the user's position information, image data acquired by an external surveillance camera, or the like.
  • the situation information acquisition unit 232 is "during a tour" when the user is located around a preset highlight based on the user's location information, and is located between the set highlights. If so, it is possible to acquire information indicating the situation such as "moving".
  • the situation information acquisition unit 232 is information indicating the user's situation according to the user's behavior, such as the user being "visiting" or "mealing” based on the image data acquired by the surveillance camera or the like. Can be obtained.
  • the status information acquisition unit 232 may acquire information indicating the user's status by a method other than the above-exemplified method.
  • the status information acquisition unit 232 may acquire information indicating the status of the user according to the download status of the digital content to be viewed, the input from the instructor, and the like.
  • the status information acquisition unit 232 may acquire information indicating the status of the user by combining the methods illustrated above.
  • the status information acquisition unit 232 may be configured to correct or update the user's situation based on the user's position information after acquiring the schedule information.
  • Satisfaction estimation unit 233 estimates user satisfaction at each time using the satisfaction estimation model 221.
  • the satisfaction estimation unit 233 refers to the sensing data 224 and acquires the data sensed by the wearable sensor 300. Then, the satisfaction estimation unit 233 inputs the acquired data into the satisfaction estimation model 221 to estimate the user's satisfaction at each time. After that, the satisfaction estimation unit 233 stores the information indicating the estimated satisfaction as the satisfaction information 226 in the storage unit 220.
  • the satisfaction estimation unit 233 is configured to calculate the PPI and various features based on the acquired data, and input the calculated PPI and various features into the satisfaction estimation model 221. It doesn't matter.
  • the price calculation unit 234 calculates the price of the service provided by the user by using the price calculation model 222. For example, the price calculation unit 234 inputs the satisfaction degree estimated by the satisfaction estimation unit 233, the weight according to the user's situation at each time, and the list price indicated by the price information 223 into the price calculation model 222. , Calculate the price of the service. After that, the price calculation unit 234 stores the information indicating the calculated price in the storage unit 220 as the result information 227.
  • the weight according to the user's situation is, for example, a predetermined value depending on whether or not the situation is directly related to the service.
  • the weight according to the user's situation is "during a tour” when the service is “visiting a temple”, “during meal” when the service is “providing meals at a restaurant”, and “yoga” when the service is “yoga”.
  • the value increases as the situation related to the service and the situation that you want to emphasize in the service, such as "during yoga" in the case of "online lesson”.
  • the weight according to the user's situation is “on the move” when the service is “temple tour”, “waiting for meals” when the service is “serving meals at the restaurant”, and the service is The value is smaller in situations where the relationship with the service is low, such as “listening to the instructor's explanation” in the case of “online yoga lessons”, or in less important situations.
  • the weight value may be other than those illustrated above.
  • the weight value may be more subdivided, for example, the same "during the tour” may be different depending on the tour target. Further, the weight value may be modified as appropriate.
  • FIG. 5 shows an example of the weight given by the price calculation unit 234 when the service is “temple tour”.
  • the price calculation unit 234 reduces the weight value for the time corresponding to the situation where it is determined that the situation content information is “moving” or the like, which is not directly related to the service.
  • the price calculation unit 234 increases the weight value for the time corresponding to the situation where the situation content information is determined to be related to the service such as "during the tour”.
  • the price calculation unit 234 sets the weight value based on the status content information and the content of the service provided by the user. Then, the price calculation unit 234 inputs the set weight into the price calculation model 222.
  • the price calculation unit 234 can correct the calculated price based on the result information 227. For example, the price calculation unit 234 determines the calculated price when a predetermined condition is satisfied, such as when the number of times the lowest price among the three output prices is selected is equal to or greater than the specified value based on the result information 227. Three prices can be modified so that the lowest price is the middle price. In other words, the price calculation unit 234 may be configured to calculate the price based on the price calculation model 222 and then correct the calculated price according to the tendency of the user indicated by the result information 227.
  • the output unit 235 outputs information indicating the price calculated by the price calculation unit 234.
  • the output unit 235 outputs information indicating the price calculated by the price calculation unit 234 to the smartphone 400.
  • FIG. 6 shows an example of the information output by the output unit 235.
  • the output unit 235 outputs information indicating the price calculated by the price calculation unit 234 such as ⁇ xxxx, ⁇ yyy, ⁇ zzz, and information on which the price calculation is based. Further, in the case of FIG. 6, the output unit 235 outputs the time, the situation content information, and the satisfaction level in association with each other as the information on which the price is calculated.
  • the number of prices output by the output unit 235 is a number corresponding to the number of prices calculated by the price calculation unit 234.
  • the output unit 235 may output information other than those illustrated above.
  • the output unit 235 can acquire information indicating the price selected by the user among the plurality of prices output from the smartphone 400. In this case, the output unit 235 stores the acquired price information in the storage unit 220 as the result information 227.
  • the above is a configuration example of the price calculation device 200.
  • the wearable sensor 300 is a sensing device such as a smart watch that is attached to the user and senses information indicating the state of the user. In the case of the present embodiment, as described above, the wearable sensor 300 senses the heart rate of the user as information indicating the state of the user.
  • FIG. 7 shows a configuration example of the wearable sensor 300. Referring to FIG. 7, the wearable sensor 300 has functions as, for example, a sensor 310 and a transmission / reception unit 320. The function as the wearable sensor 300 may be realized by, for example, hardware, or may be realized by the arithmetic unit executing the program stored in the storage device.
  • the sensor 310 senses information indicating the state of the user. For example, the sensor 310 senses the user's heart rate as information indicating the user's state. The sensor 310 may sense data other than those exemplified above, such as the amount of sweating on the palm.
  • the transmission / reception unit 320 has an antenna or the like, and transmits data sensed by the sensor 310 to the smartphone 400.
  • the transmission / reception unit 320 may transmit data other than the data sensed by the sensor 310 to the smartphone 400, such as transmitting the data sensed by the sensor 310 and the information indicating the sensed time.
  • the smartphone 400 is an information processing device that transmits data received from the wearable sensor 300 to the price calculation device 200.
  • FIG. 8 shows a configuration example of the smartphone 400.
  • the smartphone 400 has general functions that the smartphone has, such as a GPS for acquiring position information and a screen display unit with a touch panel, and also has a transmission / reception unit 410, a display unit 420, a consent reception unit 430, and a payment unit 440. And have.
  • the function of the smartphone 400 may be realized by, for example, hardware, or may be realized by the arithmetic unit executing the program stored in the storage device.
  • the transmission / reception unit 410 has an antenna or the like, and receives data sensed by the wearable sensor 300 from the wearable sensor 300. Then, the transmission / reception unit 410 transmits the received data to the price calculation device 200. Further, the transmission / reception unit 410 receives the information output by the output unit 235 from the price calculation device 200. Further, when the price calculation device 200 calculates a plurality of prices, the transmission / reception unit 410 calculates the price obtained by the consent reception unit 430 as information indicating the price selected by the user. It transmits to the device 200. The transmission / reception unit 410 may transmit information other than those illustrated above, such as information indicating the position of the smartphone 400, to the price calculation device 200.
  • the display unit 420 displays the received information on a screen display unit with a touch panel or the like. For example, as shown in FIG. 6, the display unit 420 displays on the screen information indicating the price calculated by the price calculation unit 234 and information on which the price calculation is based.
  • the consent reception unit 430 acquires information indicating the price approved by the user in response to the user touching the price displayed on the screen display unit with a touch panel. For example, the consent reception unit 430 acquires information indicating which price has been accepted by the user when displaying a plurality of prices. As described above, the price for which the consent reception unit 430 has received the consent of the user can be transmitted to the price calculation device 200 as information indicating the price selected by the user.
  • the settlement unit 440 makes a payment at the price accepted by the consent reception unit 430.
  • the settlement process performed by the settlement unit 440 may be realized by a known technique.
  • FIG. 9 shows an operation example of the price calculation device 200.
  • the satisfaction estimation unit 233 estimates the user's satisfaction at each time using the satisfaction estimation model 221 (step S101).
  • the satisfaction estimation unit 233 refers to the sensing data 224 and acquires the data sensed by the wearable sensor 300. Then, the satisfaction estimation unit 233 inputs the acquired data into the satisfaction estimation model 221 to estimate the user's satisfaction at each time.
  • the satisfaction estimation unit 233 may be configured to calculate the PPI and various features based on the acquired data and input the calculated PPI and various features into the satisfaction estimation model 221.
  • the price calculation unit 234 acquires the satisfaction level estimated by the satisfaction level estimation unit 233. Further, the price calculation unit 334 refers to the status information 225 and acquires information indicating the status of the user (step S102). Further, the price calculation unit 234 refers to the price information 234 and acquires information indicating the list price of the service.
  • the price calculation unit 234 calculates the price of the service provided by the user using the price calculation model 222 (step S103). For example, the price calculation unit 234 inputs the satisfaction degree estimated by the satisfaction estimation unit 233, the weight according to the user's situation at each time, and the list price indicated by the price information 223 into the price calculation model 222. , Calculate the price of the service.
  • the output unit 235 outputs information indicating the price calculated by the price calculation unit 234. For example, the output unit 235 outputs information indicating the price calculated by the price calculation unit 234 to the smartphone 400 (step S104). The output unit 235 can output the information that is the basis of the price calculation together with the information indicating the price.
  • the above is an operation example of the price calculation device 200.
  • the price calculation device 200 has a status information acquisition unit 232, a satisfaction estimation unit 233, and a price calculation unit 234.
  • the price calculation unit 234 can calculate the price of the service based on the satisfaction level estimated by the satisfaction level estimation unit 233 and the weight according to the user's situation at each time. .. As a result, it becomes possible to calculate the price based on the satisfaction level in consideration of the user's situation. This makes it possible to improve the accuracy of satisfaction estimation and perform more appropriate price estimation.
  • the price calculation device 200 is not limited to the configuration shown in FIG. 2 and the like.
  • the price calculation device 200 is not limited to the configuration shown in FIG.
  • FIG. 10 shows another configuration example of the price calculation device 200.
  • the data sensed by the wearable sensor 300, the weight according to the user's situation at each time, and the list price indicated by the price information 223 are shown without estimating the satisfaction level using the satisfaction level estimation model 221.
  • the price calculation device 200 does not have to have the satisfaction estimation unit 233.
  • the storage unit 220 may not store the satisfaction estimation model 221 and the satisfaction information 226.
  • the price estimation model 222 inputs the data sensed by the wearable sensor 300 instead of the satisfaction level and outputs the price.
  • the price calculation device 200 can also have a configuration as shown in FIG. In the case of FIG. 11, the price calculation device 200 has an emotion estimation unit 236 and a satisfaction calculation unit 237 instead of the satisfaction estimation unit 233. Further, the storage unit 220 stores the emotion estimation model 2211 instead of the satisfaction estimation model 221 and can store the content information 229.
  • the emotion estimation model 2211 is a trained model used when estimating the emotions felt by the user receiving the service based on the data sensed by the wearable sensor 300.
  • the emotion estimation model 2211 takes the information corresponding to the data indicated by the sensing data 224 as input, and outputs the information used when determining the emotion of the user.
  • the emotion estimation model 2211 inputs information corresponding to the data indicated by the sensing data 224, and outputs information indicating the emotion value (Valence) and the arousal level (Arousal).
  • the emotion estimation model 2211 is generated in advance by, for example, performing machine learning using a neural network in an external device or the like.
  • the emotion estimation model 2211 is acquired from an external device or the like via the communication I / F unit 210 or the like, and is stored in the storage unit 220.
  • the information input to the emotion estimation model 2211 may be the data itself indicated by the sensing data 224, or may be data calculated based on the sensed data.
  • the information input to the emotion estimation model 2211 may be the pulse rate itself, the peak sensation (PPI) of the pulse wave calculated based on the pulse rate, or the heart rate variability by cutting out the PPI for each predetermined range.
  • PPI peak sensation
  • Various feature quantities such as mean, standard deviation, coefficient of variation, and frequency component calculated by analysis may be used.
  • the content information 229 includes information corresponding to the type of service and the emotion corresponding to the type of service.
  • the facilities to be visited and played include various facilities such as “haunted house”, “ferris wheel”, and “merry-go-round”.
  • various poses are included in the poses performed at the school. In this way, the service can be subdivided.
  • the content information 229 may be associated with emotions corresponding to the entire service, or may be associated with emotions corresponding to each target in which the service is further subdivided.
  • the emotion estimation unit 236 estimates the user's emotion at each time using the emotion estimation model 2211.
  • the emotion estimation unit 236 refers to the sensing data 224 and acquires the data sensed by the wearable sensor 300. Then, the emotion estimation unit 236 inputs the acquired data into the emotion estimation model 2211, and inputs the acquired data to the emotion value (Valence) and the arousal level (Arousal), which are information used when determining the emotion of the user at each time. Output the indicated information.
  • the emotion estimation unit 236 estimates the user's emotion by determining in which quadrant in Russell's circular model from the estimated emotion value and alertness. For example, the emotion estimation unit 236 estimates emotions such as anger, joy, sadness, and relaxation.
  • the emotion estimation unit 236 may be configured to calculate the PPI and various features based on the acquired data and input the calculated PPI and various features into the satisfaction estimation model 221. I do not care.
  • the satisfaction calculation unit 237 calculates the user's satisfaction based on the emotion estimated by the emotion estimation unit 236 and the content information 229. For example, the satisfaction calculation unit 237 is based on whether or not the emotion estimated by the emotion estimation unit 236 and the emotion indicated by the content information 229 are the same and whether or not the difference is allowed. Calculate the degree. For example, the satisfaction calculation unit 237 is satisfied when the emotion estimated by the emotion estimation unit 236 and the emotion indicated by the content information 229 are the same or when the difference in emotion is within a predetermined allowable range. It is possible to calculate the degree of satisfaction indicating that the information is satisfied.
  • the satisfaction calculation unit 237 may calculate the satisfaction in consideration of the time when the emotion estimated by the emotion estimation unit 236 and the emotion indicated by the content information 229 are the same. Further, the satisfaction calculation unit 237 may be configured to calculate the satisfaction based on the estimated emotion by using the model after learning in advance.
  • the price calculation device 200 can adopt various modified examples.
  • the price calculation system 100 can have a configuration other than the price calculation device 200, the wearable sensor 300, and the smartphone 400.
  • FIG. 12 shows another configuration example of the price calculation system 100.
  • the price calculation system 100 includes a camera 500 in addition to the price calculation device 200, the wearable sensor 300, and the smartphone 400.
  • the camera 500 acquires image data by capturing the state of the user.
  • the image data acquired by the camera 500 can be used not only when determining the user's situation but also when determining the user's condition in the price calculation device 200.
  • the price calculation device 200 can determine the state of the user based on the facial expression of the user determined based on the image data.
  • the state of the user may be determined based on the data other than the data sensed by the wearable sensor 300, or by utilizing the data other than the data sensed by the wearable sensor 300.
  • the price calculation device 200 can make a judgment based on the voice information of the user acquired by using the microphone or the like of the price calculation system.
  • the function as the price calculation device 200 may be realized by, for example, a plurality of information processing devices connected via a network.
  • the function of the price calculation device 200 may be realized by using a cloud or the like.
  • FIGS. 13 and 14 show a configuration example of the price calculation device 600.
  • FIG. 13 shows a hardware configuration example of the price calculation device 600.
  • the price calculation device 600 has the following hardware configuration as an example.
  • -CPU Central Processing Unit
  • -ROM Read Only Memory
  • RAM Random Access Memory
  • storage device storage device
  • Program Group 604 loaded in RAM 603 -Storage device 605 for storing the program group 604
  • a drive device 606 that reads and writes a recording medium 610 external to the information processing device.
  • -Communication interface 607 that connects to the communication network 611 outside the information processing device -I / O interface 608 for data input / output -Bus 609 connecting each component
  • the price calculation device 600 realizes the functions as the state information acquisition unit 621, the status information acquisition unit 622, and the calculation unit 623 shown in FIG. 14 by the CPU 601 acquiring the program group 604 and executing the program group 604. Can be done.
  • the program group 604 is stored in, for example, a storage device 605 or a ROM 602 in advance, and the CPU 601 loads the program group 604 into a RAM 603 or the like and executes the program group 604 as needed. Further, the program group 604 may be supplied to the CPU 601 via the communication network 611, or may be stored in the recording medium 610 in advance, and the drive device 606 may read the program and supply the program to the CPU 601.
  • FIG. 13 shows an example of the hardware configuration of the price calculation device 600.
  • the hardware configuration of the price calculation device 600 is not limited to the above case.
  • the price calculation device 600 may be composed of a part of the above-described configuration, such as not having the drive device 606.
  • the status information acquisition unit 621 acquires status information indicating the status of the user who is receiving the service.
  • the state information acquisition unit 621 can acquire data acquired by a sensor attached to the user, such as a heart rate, as state information.
  • the status information acquisition unit 622 acquires status information indicating the status of the user.
  • the situation information acquisition unit 622 can acquire information according to the action taken by the user as the situation information indicating the situation of the user.
  • the calculation unit 623 calculates the price of the service based on the status information acquired by the status information acquisition unit 621 and the status information acquired by the status information acquisition unit 622.
  • the price calculation device 600 has a state information acquisition unit 621, a status information acquisition unit 622, and a calculation unit 623. According to such a configuration, the calculation unit 623 can calculate the price of the service based on the state information and the situation information. As a result, it becomes possible to calculate the price in consideration of the situation of the user, and it becomes possible to perform more appropriate price estimation.
  • the price calculation device 600 described above can be realized by incorporating a predetermined program into the price calculation device 600.
  • a program that is another embodiment of the present invention The price calculation device 600 includes a status information acquisition unit 621 that acquires status information indicating the status of the user who is receiving the service, a status information acquisition unit 622 that acquires status information indicating the status of the user, and a status.
  • This is a program for realizing a calculation unit 623 that calculates a service price based on the state information acquired by the information acquisition unit 621 and the status information acquired by the status information acquisition unit 622.
  • the price calculation device 600 acquires the state information indicating the state of the user who is receiving the service, and the situation information indicating the user's situation. Is acquired, and the price of the service is calculated based on the acquired status information and the acquired status information.
  • a status information acquisition unit that acquires status information indicating the status of users who are receiving services, A status information acquisition unit that acquires status information indicating the status of the user, A calculation unit that calculates the price of the service based on the status information acquired by the status information acquisition unit and the status information acquired by the status information acquisition unit.
  • Price calculator with. (Appendix 2) The price calculation device described in Appendix 1
  • the status information acquisition unit is a price calculation device that acquires information according to the action performed by the user as the status information.
  • Appendix 3) The price calculation device according to Appendix 1 or Appendix 2.
  • the situation information acquisition unit is a price calculation device that acquires action schedule information indicating the action schedule of the user as the situation information.
  • the price calculation device according to any one of Supplementary note 1 to Supplementary note 3.
  • the status information acquisition unit is a price calculation device that acquires location information indicating the position of the user as the status information.
  • the price calculation device according to any one of Supplementary note 1 to Supplementary note 4.
  • the state information acquisition unit is a price calculation device that acquires data sensed by a sensor attached to the user as the state information.
  • the price calculation device described in Appendix 5 is a price calculation device that acquires information according to the pulse rate of the user as the state information.
  • the price calculation device according to any one of Supplementary note 1 to Supplementary note 6.
  • the calculation unit has an estimation unit that estimates information indicating the satisfaction level of the user with the service based on the state information acquired by the state information acquisition unit.
  • the calculation unit is a price calculation device that calculates the price of the service based on the satisfaction level estimated by the estimation unit and the situation information acquired by the situation information acquisition unit.
  • the price calculation device described in Appendix 7 The estimation unit is a price calculation device that estimates the satisfaction level by using a satisfaction level estimation model that outputs the satisfaction level of the user in response to the input of the state information.
  • Appendix 9 The price calculation device according to any one of Supplementary note 1 to Supplementary note 8.
  • the calculation unit is a price calculation device that calculates the price of the service by using a price calculation model that outputs the price of the service in response to an input including a weight according to the situation information.
  • the calculation unit is a price calculation device that outputs information indicating a plurality of prices as the price of the service.
  • the calculation unit is a price calculation device that corrects the price of the service calculated by the calculation unit based on the result information indicating the selection result of the user with respect to the result calculated by the calculation unit.
  • the price calculation device Acquire status information indicating the status of the user who is receiving the service, Acquire the situation information indicating the situation of the user, and A price calculation method for calculating the price of the service based on the acquired state information and the acquired status information.
  • a status information acquisition unit that acquires status information indicating the status of users who are receiving services
  • a status information acquisition unit that acquires status information indicating the status of the user
  • a calculation unit that calculates the price of the service based on the status information acquired by the status information acquisition unit and the status information acquired by the status information acquisition unit.
  • the programs described in each of the above embodiments and appendices may be stored in a storage device or recorded in a computer-readable recording medium.
  • the recording medium is a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, and a semiconductor memory.
  • Price calculation device 210 Communication I / F unit 220 Storage unit 221 Satisfaction estimation model 222 Price calculation model 223 Price information 224 Sensing data 225 Status information 226 Satisfaction information 227 Result information 228 Program 229 Content information 230 Calculation processing Unit 231 Sensing data acquisition unit 232 Status information acquisition unit 233 Satisfaction estimation unit 234 Price calculation unit 235 Output unit 236 Emotion estimation unit 237 Satisfaction calculation unit 300 Wearable sensor 310 Sensor 320 Transmission / reception unit 400 Smartphone 410 Transmission / reception unit 420 Display unit 430 Acceptance Reception unit 440 Payment unit 500 Camera 600 Price calculation device 601 CPU 602 ROM 603 RAM 604 Program group 605 Storage device 606 Drive device 607 Communication interface 608 Input / output interface 609 Bus 610 Recording medium 611 Communication network 621 Status information acquisition unit 622 Status information acquisition unit 623 Calculation unit

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