Pet reliability evaluation method, rental housing tenant screening method, and pet reliability evaluation system

Abstract

To provide a pet reliability evaluation method, a move-in examination method for a rental house and a pet reliability evaluation system for evaluating reliability of a pet with training information for objectively determining whether the pet is properly trained.SOLUTION: A method for evaluating reliability of a pet 10 using an information processing device executes: a first step in which a platform 50 acquires a plurality of types of pieces of training data 30-1, 30-2 from terminals possessed by a plurality of end users 20; a second step in which the plurality of types of pieces of training data is stored in a database 51 for training data; and a third step in which a pet reliability evaluation system 52 reads the plurality of types of pieces of training data 30-2 from the database 51 for training data and calculates reliability evaluation data 80 by using the training data 30 and evaluation index master data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a technology using an information processing device, and more particularly to a technology for evaluating the trustworthiness of a pet using training information. [Background technology]

[0002] Pets are animals kept for the purpose of companionship, and they can be companions that soothe and entertain people. However, because pets coexist with people in society, the question arises as to whether their behavior is compatible with society. In other words, pets require training (hereafter referred to as "discipline") to behave in accordance with the norms and customs of human society.

[0003] As a technology for certifying and authenticating pet characteristics, a demonstration experiment has been reported to "realize a society in which more places are available for living with pets" by utilizing an app that can digitally certify and authenticate a pet's "vaccination and rabies inoculation status," "owner knowledge," and "level of dog training acquisition" (Non-Patent Document 1). [Prior art documents] [Non-patent literature]

[0004] [Non-Patent Document 1] A demonstration experiment of the pet certification app "Wan!Pass" provided by Pets All Right has begun at the members-only shared office "Business Airport Kyobashi," which has a floor where pets are allowed. [Retrieved January 13, 2022], Internet<URL:https: / / prtimes.jp / main / html / rd / p / 000000003.000078906.html> Summary of the Invention [Problem to be solved by the invention]

[0005] When an end user with a pet tries to move into a pet-friendly property (house), the business providing the housing (e.g., a real estate company) must consider the risks associated with keeping a pet (such as trouble with neighbors and damage to the house). As a result, the security deposit and rent for pet-friendly properties tend to be relatively high. This makes it difficult for end users to use the property they want at their desired cost. Meanwhile, real estate companies find it difficult to set appropriate prices for pet-friendly properties, which can result in lost opportunities.

[0006] In recent years, pet insurance has become available on the market, covering medical expenses and compensation when pets are treated for illness or injury, or when they cause property damage.While deciding whether to purchase pet insurance and setting prices, it is necessary to consider the risk of pets getting injured or having accidents, there has been no system in place to accurately assess such risks.

[0007] The risks associated with providing housing and insurance as described above are believed to be reduced if pets are properly trained. Properly trained pets are more trustworthy and reduce the risk of various problems associated with pet care, making it possible to provide services to end users at an appropriate cost.

[0008] Therefore, the object of the present invention is to provide a technology for evaluating the trustworthiness of a pet using information (hereinafter referred to as "training information") for objectively determining whether the pet is being properly trained. [Means for solving the problem]

[0009] A preferred aspect of the present invention is a method for evaluating the trustworthiness of a pet using an information processing device, which includes a first step of acquiring data representing multiple types of discipline information (hereinafter referred to as "discipline data") from multiple terminals, a second step of storing the multiple types of discipline data in a discipline data database, and a third step of reading the multiple types of discipline data from the discipline data database and calculating trustworthiness evaluation data using the discipline data and evaluation index master data.

[0010] Another preferred aspect of the present invention is a pet trustworthiness evaluation system comprising an input device, an output device, a storage device, and a processing device, the processing device constituting a pet trustworthiness evaluation unit, which acquires multiple types of training data collected from multiple terminals and calculates trustworthiness evaluation data using the training data and evaluation index master data. [Effects of the Invention]

[0011] It is possible to provide a technique for evaluating the trustworthiness of a pet by using training information for objectively determining whether the pet has been properly trained. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a block diagram showing an overall view of a pet trustworthiness evaluation system according to an embodiment; [Figure 2] FIG. 10 is a block diagram showing the configuration of a discipline data database 51. [Figure 3] FIG. 2 is a block diagram showing the configuration of a pet trustworthiness evaluation system 52. [Figure 4] 1 is a conceptual diagram for explaining an example of use of a pet trustworthiness evaluation system according to an embodiment. [Figure 5] A conceptual diagram illustrating the process of an end user 20 considering moving into a rental property where they can live with their pet 10, taking out pet insurance, signing a rental contract, and moving in. [Figure 6] A conceptual diagram illustrating the process after an end user 20 moves out of a rental property where they have moved in with their pet 10. [Figure 7] 1 is a conceptual diagram illustrating the process of an end user 20 moving out of a rental property where the end user can move in with their pet 10. FIG. [Figure 8] FIG. 10 is a conceptual diagram showing an example of data stored in the discipline data database 51. [Figure 9] 10 is a flow diagram illustrating an example of a process in which an end user 20 starts using the platform 50 and starts registering and updating discipline data 30. [Figure 10] 10 is a flowchart illustrating a process for generating reliability evaluation data 80 using discipline data 30 and evaluation index master data 511. [Figure 11] 10 is a table illustrating the principle of calculating reliability evaluation data 80 using discipline data 30 and evaluation index master data 511. FIG. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, embodiments of the present invention will be described with reference to the drawings. The examples are illustrative of the present invention, and for clarity of explanation, appropriate omissions and simplifications have been made. The present invention can be implemented in various other forms. Unless otherwise specified, each component may be singular or plural.

[0014] In order to facilitate understanding of the invention, the position, size, shape, range, etc. of each component shown in the drawings may not represent the actual position, size, shape, range, etc. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings.

[0015] Examples of various types of information may be described using expressions such as "table," "list," and "queue," but the various types of information may also be expressed using data structures other than these. For example, various types of information such as "XX table," "XX list," and "XX queue" may also be expressed as "XX information." When describing identification information, expressions such as "identification information," "identifier," "name," "ID," and "number" are used, but these are interchangeable.

[0016] When there are multiple components with the same or similar functions, they may be described using the same reference numeral with different subscripts. When there is no need to distinguish between these multiple components, the subscripts may be omitted.

[0017] In the embodiment described below, the pet's trustworthiness is evaluated using the training information, and by determining which pets are trustworthy, it is possible to simplify the screening process and avoid problems that may occur in pet-friendly properties. Data representing the training information will be referred to as training data.

[0018] 1 is a block diagram showing an overall view of the pet trustworthiness evaluation system and related stakeholders of the embodiment. Discipline data 30-1 and 30-2 are collected via a common trustworthiness evaluation platform (hereinafter simply referred to as the platform) 50, and trustworthiness evaluation data is created, thereby realizing information sharing between different industries.

[0019] The discipline data 30-1 is obtained, for example, from a sensor attached to the pet 10 as information about the behavior of the pet 10. Alternatively, it is created by an end user (owner, sometimes abbreviated as E / U) 20. The discipline data 30-2 is created from information that a discipline information provider 40 can obtain in the course of its business. Discipline data, which is data representing discipline information, is information for evaluating the behavior (movement) of the pet 10, and is therefore often created from information obtained at multiple points in time.

[0020] A training data collection device 60 consisting of, for example, an RFID (Radio Frequency Identifier) ​​tag and a sensor is attached to the pet 10. The training data collection device 60 may be carried by the pet 10 in the form of a collar or may have a tiny microchip attached to it. The training data 30-1 from the training data collection device 60 is transmitted to the platform 50 via, for example, a network (not shown) using wireless communication.

[0021] The end user 20 transmits the discipline data 30-1 from his / her own terminal to the platform 50 via a wireless or wired network. The terminal may be, for example, a regular personal mobile terminal or personal computer equipped with a network communication function, and is not shown.

[0022] In addition, the discipline data 30-1 from the discipline data collection device 60 may be temporarily stored in a memory provided in the discipline data collection device 60, and the end user 20 may read the data from the memory and transmit it separately from their own terminal.

[0023] The discipline information providing company 40 is assumed to be an entity (for example, a stakeholder) that can collect discipline data 30-1, such as a real estate company, an animal hospital, or a pet shop.

[0024] The discipline information provider 40 transmits discipline data 30-2 from its own business support system 70 to the platform 50 via a wireless or wired network. The business support system 70 may be, for example, a regular server or personal computer equipped with a function for communicating with a network.

[0025] The platform 50 is an information processing device that collects, stores, and processes the discipline data 30 transmitted via a network from the terminal of the end user 20, the discipline data collection device 60, or the business support system 70 of the discipline information provider 40. The platform 50 can generally be configured as a server. The platform 50 includes a discipline data database (hereinafter sometimes simply referred to as the database (DB)) 51 and a pet reliability evaluation system 52.

[0026] The training data database 51 collects and stores the training data transmitted via the network. The pet trustworthiness evaluation system 52 evaluates the trustworthiness of the pet using the training data 30 stored in the training data database 51.

[0027] The results of the pet trustworthiness evaluation by pet trustworthiness evaluation system 52 are stored as trustworthiness evaluation data 80 in training data database 51 and transmitted to training information providing company 40 and training information using company 90. Training information providing company 40 receives trustworthiness evaluation data 80 via business support systems 70-1 and 70-2. Training information using company 90 also receives trustworthiness evaluation data 80 via business support system 70-3 with a similar configuration.

[0028] The discipline information using company 90 may be, for example, a real estate company or an insurance company that provides pet insurance. There may also be cases where the discipline information using company 90 is also the discipline information providing company 40 at the same time.

[0029] 1, multiple types of subjects collect discipline information from their own perspectives and accumulate it in the discipline data database 51. Since multiple types of subjects evaluate the trustworthiness of pets based on the discipline information collected from their own perspectives, an objective evaluation can be expected.

[0030] 2 is a block diagram showing the configuration of the training data database 51. The training data database 51 can be configured as a recording device such as a magnetic disk drive. In FIG. 1, the database 51 is shown as part of the platform 50, but it may be configured as another information processing device connected via a network as long as it can be accessed from the pet trustworthiness evaluation system 52.

[0031] The database 51 stores the discipline data 30, the evaluation index master data 511, and the reliability evaluation data 80. The pet reliability evaluation system 52 generates the reliability evaluation data 80 by evaluating the discipline data 30 using the evaluation index master data 511.

[0032] In addition, database 51 stores pet data 512 that stores information about pet 10, owner data 513 that stores information about end user 20, evaluation result utilization status data 514 that relates to the utilization status of reliability evaluation data 80, etc. These data can be collected in database 51 using a configuration similar to that for collecting training data 30.

[0033] 3 is a block diagram showing the configuration of the pet trustworthiness evaluation system 52. In this embodiment, the pet trustworthiness evaluation system 52 is configured as an information processing device including an input device 521, an output device 522, a memory 523, and a processing device 524. The processing device 524 includes a pet trustworthiness evaluation unit 525 and a pet trustworthiness evaluation data sharing unit 526. In this embodiment, the pet trustworthiness evaluation unit 525 and the pet trustworthiness evaluation data sharing unit 526 are implemented as software. Specifically, they are realized by the processing device 524, such as a CPU (Central Processor Unit), reading and executing a program stored in the memory 523.

[0034] In the embodiments, processing performed by executing a program may be described. Here, the pet trustworthiness evaluation system 52 executes the program on the processing device 524, and performs processing defined by the program using storage resources (e.g., memory 523) and interface devices (e.g., input device 521 and output device 522). Therefore, the processing performed by executing the program may be performed by the processing device 524. Similarly, the processing performed by executing the program may be performed by a device having the processing device 524. The processing performed by executing the program may include a dedicated circuit that performs specific processing. Here, the dedicated circuit may be, for example, an FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit), or a CPLD (Complex Programmable Logic Device).

[0035] The program may be installed into the pet trustworthiness evaluation system 52 from a program source. The program source may be, for example, a program distribution server or a computer-readable storage medium. When the program source is a program distribution server, the program distribution server may include a processor and storage resources for storing the program to be distributed, and the processor of the program distribution server may distribute the program to be distributed to other computers. In addition, in an embodiment, two or more programs may be realized as one program, or one program may be realized as two or more programs.

[0036] In this embodiment, various commonly known devices and apparatuses can be used as the input device 521 and the output device 522, and can be accessed via a network. The memory 523 is a storage device formed of, for example, a semiconductor integrated circuit.

[0037] 4 is a conceptual diagram for explaining an example of how the pet trustworthiness evaluation system 52 of this embodiment is used in the real world. In the example of FIG. 4, an insurance company 400 acts as the main administrator of the pet trustworthiness evaluation system 52, consolidating information and sharing trustworthiness evaluation data 80 with each stakeholder (real estate company, veterinary clinic, pet hotel, etc.). Here, we will mainly explain using as an example the training insurance offered by the insurance company 400. Training insurance is insurance in which the state of training of a pet is reflected in the insurance premium and insurance payout, and refers to insurance that compensates for damage to a house or the like caused by a pet.

[0038] An end user (owner) 20 applies for and enrolls in training insurance with an insurance company 400 (S503). The insurance company 400 manages and operates a platform 50 (in FIG. 4, the insurance company 400 is assumed to include the platform 50). The insurance company 400 requests the end user 20 to attach a training data collection device 60 to the pet 10 (S401), and the end user 20 attaches the training data collection device 60 to the pet 10 (S504).

[0039] The training data collection device 60 is, for example, an acceleration sensor or a sound sensor, and is used to monitor the behavior of the pet 10. The information obtained by the sensor is generally time-series information and can represent the behavior of the pet 10. The training data collection device 60 transmits this information to the platform 50 as pet behavior data 30a, which is one of the training data 30.

[0040] The platform 50 also collects information 30b about pets from veterinary clinics 410 and pet hotels 420. The information 30b about pets includes information about the behavioral state of the pet 10 (whether the pet was calm during treatment or service, whether the pet had any trouble with other pets, etc.) observed and evaluated by, for example, a veterinarian or hotel staff while the pet was receiving a specified service.

[0041] When the end user 20 enters into a rental contract for a rental property with the real estate company A (S508), the real estate company A transmits property condition data 30c to the platform 50. The property condition data includes information such as changes in the property condition (changes before and after pets move in) and complaints from neighbors.

[0042] Thus, training information is provided to a platform 50 operated by (or available to) the insurance company 400 from multiple different entities related to the pet 10, and is accumulated as training data 30. The pet trustworthiness evaluation system 52 performs a trustworthiness evaluation based on the training data 30. The pet trustworthiness evaluation results (trustworthiness evaluation data 80) can be used in various ways by various stakeholders. For example, the insurance company 400 can calculate insurance premiums and claims based on the trustworthiness evaluation results.

[0043] For example, when insurance company 400 calculates insurance premiums, it increases the premium for pets that are less trustworthy. Also, when it calculates insurance payouts, it decreases the insurance payouts for pets that are less trustworthy. Insurance payouts are paid to cover, for example, security deposits when end user 20 uses rental property and costs for restoring the property to its original condition when moving out (S607).

[0044] For example, when an end user 20 makes an inquiry about moving to a property that allows pets (S501), the real estate company may refuse to allow the occupant to move in if the pet is unreliable, or may increase the security deposit or rent.

[0045] Similarly, the veterinary clinic 410 and the pet hotel 420 can adjust the fees and determine whether or not the pet can be used based on the results of the pet's reliability evaluation.

[0046] According to the above example, the reliability of a pet is evaluated by integrating information obtained from multiple sources, for example, by using training data generated based on the degree of wear and tear on the condition of the house after the pet moves in compared to its condition before the pet moves in, as well as training data based on time-series information obtained from a sensor attached to the pet, making it possible to evaluate the reliability of a pet much more objectively than by relying solely on self-reported information from the owner (end user 20).

[0047] 5 is a conceptual diagram illustrating the process in an actual business, involving an end user (E / U) 20, a real estate company, and an insurance company, in which the end user 20, who is a pet owner, considers moving into a rental property where the pet 10 can be accommodated, takes out pet insurance, concludes a rental contract, and moves in. Based on the configuration of FIG. 4, the parts of the processing performed by the insurance company and the platform 50 of the embodiment are enclosed in double frames.

[0048] The following will be explained in chronological order. First, the end user 20 considers moving to a rental property that allows pets (S501). The end user 20 receives an introduction of a rental property that allows pets from a real estate company using a conventional rental property introduction framework (for example, by searching for rental properties on the Internet) (S502).

[0049] The end user 20 enters into a pet insurance contract with an insurance company according to conventional procedures and enrolls in the insurance (S503). The insurance premium to be paid by the end user 20 is determined by the insurance company according to conventional methods based on information about the pet 10 (self-reported by the end user 20 or interviews with the pet) and the coverage details. The training data collection device 60 provided by the insurance company is attached to the pet 10 (S504).

[0050] The end user 20 submits a written application for occupancy to the real estate company according to conventional procedures (S505). The real estate company reviews the application documents (S506), obtains information about the pet from the end user 20, and, if necessary, interviews the pet to conduct a pet screening (S507).

[0051] If the real estate company agrees to the occupancy as a result of the conventional tenant screening and pet screening, the real estate company and the end user 20 will enter into a rental contract (S508), and the end user 20 and the pet 10 will move into the rental property (S509).

[0052] 6 is a conceptual diagram following the process of FIG. 5, illustrating the process in an actual business after the end user (E / U) 20, a real estate company, and an insurance company move out of the rental property where the end user 20, who is the owner of the pet 10, has moved in with the pet 10. The processing performed by the insurance company and the platform 50 of the embodiment is enclosed in a double box.

[0053] The explanation will be made in chronological order. The pet 10 and the end user 20 move out of the rental property (S601). Based on the existing rental contract and business practices, the real estate company cleans and restores the rental property to its original state (S602). The real estate company charges the end user 20 for restoration costs for any damage to the rental property caused by the end user's negligence, etc. If the real estate company has received a security deposit or other security money, this may be included in the payment (S603). The end user 20 pays the restoration costs to the real estate company based on the claim (S604).

[0054] If the end user 20 is eligible to receive insurance payment based on the insurance contract, the end user 20 claims the insurance money from the insurance company 400 (S605). The conditions for payment of the insurance money depend on the contents of the insurance contract. For example, if the pet 10 soils the rental property beyond the scope permitted by the rental contract, the real estate company will bill the end user 20 for the repair costs as a result of the tenant's negligence. The insurance company 400 will pay the cost of compensating for the repair costs caused by such pet as insurance money.

[0055] The insurance company calculates the insurance amount based on the claim details from the end user 20 and the reliability evaluation data 80 obtained from the platform 50 (S606). Information on the pet's behavior is sent as training data 30 from the training data collection device 60 attached to the pet 10 in S504 of FIG. 5 to the platform 50, and is accumulated in the training data database 51.

[0056] For example, if the training data collection device 60 includes an acceleration sensor, information indicating the amount of activity of the pet 10 can be acquired as training data 30 regarding the pet's behavior. A pet that is unnecessarily active is assumed to be poorly trained and therefore has a high risk of damaging a rental property. In such a case, the pet reliability evaluation unit 525 calculates a value indicating low reliability as the reliability evaluation data 80. Based on this reliability evaluation data 80, the insurance company determines that the end user 20 has not properly trained the pet 10 and reduces the insurance amount.

[0057] For example, if the training data collection device 60 includes a sound sensor, information indicating the noises and cries made by the pet 10 can be acquired as the training data 30. A pet that barks unnecessarily is assumed to be poorly trained, and in such a case, the insurance money will be reduced because it is considered that the end user 20 has not properly trained the pet 10.

[0058] The insurance amount calculated through the above procedure is paid by the insurance company to the end user 20 (S607).

[0059] The above explanation has shown an example in which information obtained from the discipline data collection device 60 is used as discipline data 30. Other pet behavior data that can be obtained from the discipline data collection device 60 include the time and distance of walks, the time and amount of exercise indoors, the number and volume of barking, the number and time of meals and excretion, etc., and data can be obtained using various sensors.

[0060] Other examples of discipline data 30 that can serve as the basis for reliability evaluation data 80 include the following:

[0061] The training data 30 self-reported by the end user 20 includes a profile of the pet, such as the type and age, vaccination status, medical history, and information on training (training classes, etc.). Such information is reported by the end user 20, for example, during the pet screening (S507). Data is sent to the platform 50 directly by the end user 20 or from the business support system 70 of the real estate company.

[0062] The behavior data 30 that the real estate company can obtain during the tenancy includes complaints from neighbors (noise, smell, etc.), how the common areas are used (cleaning status, etc.), and a history of troubles with other tenants or pets. This data is sent from the real estate company's business support system 70 to the platform 50.

[0063] The behavior data that a real estate company can obtain when a tenant moves in or out includes the results of the pet screening, the state of the pet interview (if an interview is conducted), the state of the room at the time of moving out (changes in the state between when the tenant moved in and when the tenant moved out), the costs incurred for moving out and restoring the property to its original state, and the impression of the next tenant. This data is sent from the real estate company's business support system 70 to the platform 50.

[0064] The behavior data that the insurance company can obtain when signing up for insurance includes whether the owner has the ability to pay, the results of the pet insurance application review, the pet's past medical history (matters to be disclosed), and the details of the pet insurance to be signed up for. These data are sent from the insurance company's business support system (which may be configured in the same way as the business support system 70 of the real estate company) to the platform 50.

[0065] The data that insurance companies can obtain during the insurance subscription period includes the usage status of the insurance (illness, injury, compensation history), usage status of additional services (health consultations, etc.), and usage status of subscriber benefits. This data is sent from the insurance company's business support system to Platform 50.

[0066] Other pet business operators include veterinary clinics and pet hotels, and the training information that can be obtained from these includes the following. The data collection method is similar to that of real estate companies and insurance companies.

[0067] Veterinary clinics can provide detailed information on your pet's health, vaccination status, illness or injury status, and personality traits as training data.

[0068] Pet hotels can provide basic information about the pet's health, usage status and frequency, and personality, etc., as training data.

[0069] Other training information includes usage status of pet-friendly facilities, purchase history on pet supply mail order sites, and rental car usage data for pets.

[0070] Furthermore, as information other than the discipline data 30 that serves as the basis for calculating the reliability evaluation data 80, the pet data 512 and the owner data 513 can be taken into consideration.

[0071] FIG. 7 is a conceptual diagram illustrating the process in an actual business when end user 20, who is a pet owner, moves to a rental property where he or she can move with pet 10, with end user 20, real estate company A, real estate company B, and an insurance company as the parties involved. Real estate company A and real estate company B are different real estate companies or entities that manage different rental properties. In the example of FIG. 7, it is assumed that end user 20 has already signed a pet insurance contract with the insurance company.

[0072] The processes involved in the pet trustworthiness evaluation system 52 of this embodiment are particularly shown with double borders.

[0073] The process of Figure 7 will be explained along the timeline. The end user 20 applies to real estate company A for a rental property managed by real estate company A (S701). Real estate company A conducts the usual rental screening, and if the application is approved, the end user 20 moves into the rental property with the pet 10 (S702).

[0074] While the end user 20 is residing in the rental property with the pet 10, as explained in FIG. 5, the training data 30 is collected in the database 51 and the data is updated (S703).

[0075] The end user 20 considers moving with the pet 10 and searches for a new rental property (S704). For example, the end user searches online for rental properties from real estate company B, and is introduced to rental properties that allow pets by real estate company B (S705).

[0076] If the end user 20 likes the rental property from real estate company B, he or she submits an application to real estate company B as usual to apply for occupancy (S706).

[0077] The real estate company B must examine whether to permit the end user 20 with the pet 10 to move in. In this case, the company must consider the risk of trouble with neighbors and damage if the pet 10 moves into the rental property. For this reason, the real estate company B obtains the reliability evaluation data 80 from the pet reliability evaluation system 52 (S707), and in addition to the conventional document screening, conducts a rental screening based on the reliability evaluation data 80 (S708). If the screening results in permission to move in, the company B enters into a contract with the end user 20 (S709).

[0078] Having decided on a new home, the end user 20 moves out of the rental property managed by real estate company A (S710). Real estate company A checks the rental property after the end user 20 moves out, and performs the necessary post-move-out processing, such as restoring any areas that require repairs to their original condition (S711). In this case, real estate company A must restore the property to a condition suitable for the next tenant, so it must also deal with stains and odors caused by pets residing in the property. The details of the processing when the property is moved out may be the same as those explained in FIG. 6.

[0079] When restoring the property to its original condition, real estate company A registers and updates the changes in the condition of the rental property between the time the end user 20 moves in and the time the end user moves out as behavior data 30 at the time of move-out on the platform 50 (S712).

[0080] Thereafter, the end user 20 moves into a rental property managed by real estate company B, and the move is complete (S713).

[0081] The difference between the tenant screening explained in Figure 5 and the tenant screening explained in Figure 7 is that in the tenant screening explained in Figure 7, the behavior data accumulated in S703 while occupying the previous rental property (managed by real estate company A) can be used for the tenant screening of the next rental property (managed by real estate company B).

[0082] The end user 20 has the reliability of their pet guaranteed by a third party (the insurance company's platform 50). They can then use a variety of services that utilize the reliability evaluation. As mentioned above, not only can they receive an appropriate pet evaluation in their rental property contract, but they can also subscribe to pet-friendly rental insurance and receive a discount on the rental deposit.

[0083] For real estate companies, this reduces the burden of screening procedures when pets move in. Also, by matching the pet's trustworthiness rating with the occupancy conditions of pet-friendly properties, opportunity loss can be reduced. Furthermore, it helps to avoid problems such as soiling and noise caused by pets with a high trustworthiness rating.

[0084] As described above, end users 20 and real estate companies can benefit practically by using the reliability evaluation data 80 based on the training data 30. Furthermore, insurance companies 400 can use the reliability evaluation data 80 to optimize the calculation of pet insurance premiums and insurance payments. Also, new insurance products can be developed using the reliability evaluation data 80 (for example, new pet insurance to cover the cost of restoring rental properties to their original condition).

[0085] 8 is a conceptual diagram showing an example of data stored in the training data database 51. These data are based on information about the pet 10 (animal) rather than the end user 20 (human), and are intended to evaluate the trustworthiness of the pet rather than the human.

[0086] The pet data 512 stores data related to the pet 10. For example, this is a pet ID that uniquely identifies the pet 10, and information about the type. Other information may include external characteristics such as color and size. Since there are usually multiple pets 10, the data file shown in the figure is created for each pet.

[0087] The owner data 513 stores data related to the end user 20 (owner). For example, this includes a user ID that uniquely identifies the end user 20, the pet they keep (pet ID), personal information, companies with which they can share information, and services they are using. Other information such as pet-related knowledge may also be included. Since there are usually multiple end users 20, the data file shown in the figure is created for each end user.

[0088] The training data 30 stores various training data linked to the pet ID. Information specifying the type of data and the data content are stored for each training data. For example, if the pet 10 is a dog, the training data 30 may include the breed of dog, the pet's age, pet insurance usage history, the name of the service used, and the terms of service use (e.g., security deposit when moving into a rental property). The data file shown in the figure is created for each pet.

[0089] Discipline data 30 can be broadly classified into two types. The first is by time series. When considering use in the real estate field, for example, it can be classified into information obtained before moving in, information obtained during occupancy (raising), and information obtained after moving in. By composing discipline information from information with different time series, such as information before moving in, information during occupancy, and information after moving in, it is possible to comprehensively obtain information related to before and after moving in, and improve the accuracy of the discipline information.

[0090] The second is categorization by related stakeholders. Training information is made up of information provided by multiple stakeholders, such as information related to pets' physical functions, personal information on pet owners (end users), and information on real estate entry and exit inspections (opinions of local residents). Self-reported information from end users20 alone cannot provide objective validity, but by obtaining comprehensive information from stakeholders in different fields, the objective validity of training information can be guaranteed.

[0091] For example, if the pet 10 is a dog, training information can be obtained from the end user 20, such as the frequency of walks, from the end user or training school, information on tricks the dog can do, such as "paw," from the pet hotel, whether there are any problems with other pets, and from the real estate company, whether there are any complaints from neighbors and what those complaints are. Using these multiple pieces of information, the reliability evaluation data 80 is calculated.

[0092] The evaluation index master data 511 is data equivalent to a function for calculating the reliability evaluation data 80 from the discipline data 30. Generally, the discipline data 30 is used as a variable, and the data includes a calculation formula and coefficients using the variable. For example, the data includes the type of discipline data, weighting (coefficients) for each type of discipline data, and, for qualitatively expressed discipline data, its numerical conversion value. The evaluation index master data 511 is preferably created in cooperation with experts familiar with pet behavior, experts in the insurance and real estate fields, and the like. The created evaluation index master data 511 is stored in the discipline data database 51 in advance.

[0093] The trustworthiness evaluation data 80 is the result of calculations made by the pet trustworthiness evaluation unit 525 using the training data 30 and the evaluation index master data 511. An evaluation value (numerical value) representing the trustworthiness evaluation is stored, linked to the pet ID. Furthermore, data used in the evaluation, the date of evaluation, etc. may also be included. The illustrated data file is created for each pet.

[0094] The evaluation result utilization status data 514 is data relating to the situation when the reliability evaluation data 80 is provided to the discipline information using company 90. The data contents include a company ID that uniquely identifies the discipline information using company 90, a service ID that uniquely identifies the service for which the reliability evaluation data 80 is used, information that identifies the reliability evaluation data 80 that was used, the purpose of use, and the results of use. The evaluation result utilization status data 514 is included, for example, in a request sent from the discipline information using company 90 to the platform 50 to request the reliability evaluation data 80, or in feedback data after data use, and is acquired and accumulated each time the reliability evaluation data 80 is provided to the discipline information using company 90. The data file shown in the figure is created for each company.

[0095] FIG. 9 is a flowchart illustrating an example of a process in which the end user 20 starts using the platform 50 and starts registering and updating the discipline data 30.

[0096] First, end user 20 enters into a contract with training information provider company A (e.g., a real estate company; hereafter referred to as company A) and provides company A with information about himself and his pet (such as the pet's breed, age, medical history, and insurance status) (S901). If this is done electronically, the information can be sent from the end user's 20 terminal to company A's business support system 70. The contract is, for example, a rental contract (FIG. 5, S508) that end user 20, who wishes to move into a rental property with his pet 10, enters into with the real estate company.

[0097] Company A registers the information received from the end user 20 and the information about the end user 20 and the pet 10 that it manages (such as the name of the service used, the property to be occupied, and the results of the occupancy screening (FIG. 5, S504 to S507)) from company A's business support system 70 to the platform 50 (S902). In addition, in order to be able to obtain real-time information about the pet 10, company A requests the use of a pet training data collection device 60 as a condition for occupancy (this can be omitted if this has already been done in the contract with the insurance company (FIG. 5, S504)).

[0098] Based on the information registered by company A, platform 50 creates new data tables for pet data 512, owner data 513, and training data 30 (S903).

[0099] The platform 50 links the newly created data to the companies (companies B, C, D, etc.) using the system that the end user 20 has authorized to provide information to (S904). For this purpose, for example, the end user 20 may transmit information about the companies that have authorized the provision of information to the business support system 70 of company A from their terminal, or may directly register this information in the platform 50. The platform 50 associates the information about the companies that have authorized the sharing of information (for example, company ID) with the user ID and registers it in the pet trustworthiness evaluation data sharing unit 526.

[0100] Companies that are permitted to share information (such as insurance companies, veterinary clinics, and pet hotels) can use the pet-related training data 30 and trustworthiness evaluation data 80 by sending a request to the pet trustworthiness evaluation data sharing unit 526 of the platform 50. Furthermore, if the end user 20 gives permission, other information about the end user 20, such as information that a new rental contract has been signed, can be shared.

[0101] When stakeholders such as end user 20 and companies A, B, C, and D acquire information corresponding to the discipline data 30, they create new information for the discipline data 30 in the discipline data database 51 or update the information (S905). For example, when end user 20 uses insurance, an insurance company that has linked the information registers the information on pet 10 provided by end user 20 and the insurance usage status as discipline data 30 in platform 50.

[0102] FIG. 10 is a flow chart explaining the process in which the pet trustworthiness evaluation unit 525 of the pet trustworthiness evaluation system 52 generates trustworthiness evaluation data 80 using the training data 30 in the training data database 51 and the evaluation index master data 511.

[0103] This process is assumed to be performed by the pet reliability evaluation unit 525 periodically or at predetermined arbitrary timing.

[0104] The pet trustworthiness evaluation unit 525 reads out the discipline data 30 from the discipline data database 51. It also reads out the evaluation index master data 511 for calculating the trustworthiness evaluation data 80 from the discipline data database 51. If there are multiple types of trustworthiness evaluation data 80, a different evaluation index master data 511 exists for each type of trustworthiness evaluation data 80 (usually, one type of trustworthiness evaluation data 80 is sufficient). Since the discipline data 30 is recorded for each pet 10, a trustworthiness evaluation value is calculated for each record of the discipline data 30 for each pet by calculation based on the discipline data 30 and trustworthiness evaluation data 80 for each pet (S1001).

[0105] The pet's trustworthiness evaluation value and information on the training data used are registered in a trustworthiness evaluation data table as trustworthiness evaluation data 80 (S1002). An example of the created trustworthiness evaluation data 80 is a calculated score (e.g., 80 / 100 points). Alternatively, the probability of occurrence of each event may be calculated as trend information (e.g., 20% probability of noise complaints occurring). Both values ​​are treated as numerical data.

[0106] FIG. 11 is a table illustrating the principle by which the pet trustworthiness evaluation unit 525 calculates the trustworthiness evaluation data 80 using the training data 30 and the evaluation index master data 511.

[0107] The discipline data 30 is data related to one specific pet 10, and is linked to the pet ID in the database. In the example of FIG. 10, the discipline data 30 is hierarchically organized into "categories (classifications)" and "item names," but this is just an example and the data structure is arbitrary. Each "item name" corresponds to "content." The content may be expressed numerically, such as "90%," or non-numerically, such as "not increasing."

[0108] The evaluation index master data 511 has "score" data for converting "content" information into a specified numerical value. Content that is not a numerical value, such as "not increased," is converted into a numerical value by the evaluation index master data 511. Content that is expressed as a numerical value, such as "90%," can be used as is, or converted into another numerical value as appropriate.

[0109] 11, a "score" is calculated from the "content" corresponding to each of a plurality of item names, the score is weighted using the "weight for each item in the evaluation," and the final reliability evaluation value is obtained by adding up the plurality of scores. Although it is possible to obtain a reliability evaluation value from a single item, in this embodiment, a reliability evaluation value with objective validity (reliability evaluation data 80) can be obtained by obtaining a plurality of types of discipline data from different resources and generating a reliability evaluation value from the plurality of discipline data.

[0110] A specific example of the use of the obtained reliability evaluation data 80 will be described using FIG. 11. FIG. 11 shows an example of a method for calculating a reliability evaluation value based on training information for a dog that has previously resided in a rental property. In this example, the category "Comparison of moves-in and move-out times of previously occupied properties" includes items "scratches on floor" and "deodorizing work." These items are information that represent changes in the condition of a rental property in which a pet 10 has moved in, before and after the pet has moved in. This training data 30 is provided by real estate company A (training information provider 40) that managed the rental property. In this example, there are no more scratches on the floor and there is almost no change in the smell, so the pet reliability evaluation unit 525 calculates a score to increase the reliability of the pet, and ultimately calculates a reliability evaluation value that indicates that the pet is highly reliable.

[0111] When real estate company B (pet behavior information user company 90), which is authorized by end user 20 to use the reliability evaluation data 80, receives an inquiry about renting from the same end user 20, it can obtain the reliability evaluation data 80 of end user 20 (pet 10) from platform 50 and determine whether the pet is trustworthy based on the reliability evaluation value and information of each record.

[0112] If the pet is deemed trustworthy, the company may offer a conditional lease on a property that does not allow pets, or may offer a reduced security deposit for a property that does allow pets.

[0113] According to the above embodiment, by determining whether a pet is trustworthy, it is possible to omit screening procedures and avoid troubles caused by pets. In determining trustworthiness, by acquiring multiple types of training data without restricting the attributes of the user of the input device, it is possible to make a more objective assessment of trustworthiness than a declaration from the pet owner. Since it is possible to aggregate information from multiple entities and make a judgment, it is possible to make an objective judgment. Since efficient economic activity is possible, energy consumption is reduced, carbon emissions are reduced, global warming is prevented, and it is possible to contribute to the realization of a sustainable society. [Explanation of symbols]

[0114] Pet 10, end user 20, training data 30, training information provider 40, platform 50, training data database 51, pet reliability evaluation system 52, business support system 70, reliability evaluation data 80

Claims

1. A method for evaluating the trustworthiness of a pet using an information processing device, comprising: A first step of acquiring multiple types of discipline data from multiple devices; a second step of storing the plurality of types of discipline data in a discipline data database; a third step of reading out the plurality of types of discipline data from the discipline data database and calculating reliability evaluation data using the discipline data and evaluation index master data; Run The training data is generated based on the state of the house in which the pet lives before and after the pet lives therein. How to assess pet reliability.

2. The training data is generated based on the degree of wear and tear of the state of the house after the pet moves in compared with the state before the pet moves in. The method for evaluating the trustworthiness of a pet according to claim 1.

3. The evaluation index master data is obtained by converting each of the plurality of types of discipline data into a numerical value and then weighting it. The method for evaluating the trustworthiness of a pet according to claim 1.

4. A rental housing occupancy screening method using the pet reliability evaluation method according to claim 2, Calculating the reliability evaluation data using the behavior data acquired from the first terminal and generated based on the degree of wear and tear of the state of the house in which the pet has moved in compared to the state before the pet has moved in; The reliability evaluation data is transmitted to a second terminal and used for screening for rental housing. How to screen applicants for rental housing.

5. In addition to the discipline data acquired from the first terminal, discipline data based on time series information obtained from a sensor attached to the pet is used, Calculating the reliability evaluation data. The rental housing occupancy screening method according to claim 4.

6. An input device, an output device, a storage device, and a processing device, The processing device constitutes a pet reliability evaluation unit, the pet trustworthiness evaluation unit acquires a plurality of types of discipline data collected from a plurality of terminals, and calculates trustworthiness evaluation data using the discipline data and evaluation index master data; A pet trustworthiness evaluation system, comprising: The plurality of types of training data include training data indicating a difference between the state of the house before and after the pet moves in. Pet reliability rating system.

7. The plurality of types of discipline data include discipline data indicating the behavior of the pet acquired by a sensor attached to the pet. The pet trustworthiness evaluation system according to claim 6.

8. The evaluation index master data is obtained by converting each of the plurality of types of discipline data into a numerical value and then weighting it. The pet trustworthiness evaluation system according to claim 6.

9. The processing device further comprises a reliability evaluation data sharing unit, the reliability evaluation data sharing unit allows a predetermined terminal selected from the plurality of terminals and other terminals to access the reliability evaluation data. The pet trustworthiness evaluation system according to claim 6.

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