JP7588038B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

A technology has been disclosed that manages whether or not customers have moved.

JP 2018-092581 A

However, the above conventional technology was not able to determine the necessity or possibility of a customer relocating based on the customer's current living situation. If it were possible to determine the necessity or possibility of a customer relocating based on the customer's current living situation, it would be possible to appropriately recommend relocating and show properties to the customer.

This application was made in light of the above, and aims to determine the necessity and possibility of a customer relocating based on the customer's current situation.

The information processing device according to the present application includes an acquisition unit that acquires context information of a user and context information related to a place where the user is staying, an estimation unit that inputs the acquired context information into an estimation model that has been trained to learn a correspondence relationship between context information and a user's comfort level or satisfaction level, and estimates the user's comfort level or satisfaction level while staying at the place, a determination unit that determines the necessity or possibility of the user's relocation based on the estimation result of the user's comfort level or satisfaction level , and, if there is a necessity or possibility of the user's relocation, makes a suggestion regarding another place where the user's comfort level or satisfaction level will be improved more than at the place, and if there is no necessity or possibility of the user's relocation, makes a suggestion regarding an improvement in the user's comfort level or satisfaction level at the place. and a providing unit, wherein the acquiring unit acquires, as the context information, location information of the user, information regarding the density , size, environmental sound , and illuminance of the location where the user is located, attribute information of the user , various history information, and sensor information indicating the detection results of each sensor mounted on the user's terminal device, and the estimating unit estimates, from the location information or location history of the user and other users among the context information , that the user and the other users are together at the location, which is the user's home, for a long period of time during the day on a weekday, and estimates that the user and the other users are in the same room or that the other users frequently enter , leave, or pass through a room where the user is, thereby estimating the comfort or satisfaction of the user while staying at the location .

According to one aspect of the embodiment, the necessity or possibility of a customer relocating can be determined based on the customer's current situation.

FIG. 1 is an explanatory diagram showing an overview of an information processing method according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of an information providing device according to an embodiment. FIG. 5 is a diagram illustrating an example of the user information database. FIG. 6 is a diagram illustrating an example of the history information database. FIG. 7 is a diagram illustrating an example of the comfort level information database. FIG. 8 is a flowchart showing a processing procedure according to the embodiment. FIG. 9 is a diagram illustrating an example of a hardware configuration.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. In addition, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

[1. Overview of information processing method]
First, an overview of an information processing method performed by an information processing device according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of an information processing method according to an embodiment. Note that Fig. 1 uses an example of a case where a suggestion is made according to the comfort of a room of a user working from home (teleworking).

As shown in FIG. 1, the information processing system 1 includes a terminal device 10 and an information providing device 100. The terminal device 10 and the information providing device 100 are connected to each other via a network N (see FIG. 2) in a wired or wireless manner so as to be able to communicate with each other. In this embodiment, the terminal device 10 cooperates with the information providing device 100.

The terminal device 10 is a smart device such as a smartphone or tablet used by a user U, and is a mobile terminal device capable of communicating with any server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). The terminal device 10 has a screen such as a liquid crystal display with touch panel functionality, and accepts various operations on displayed data such as content, such as tapping, sliding, scrolling, etc., performed by the user U with a finger or a stylus. An operation performed on an area of the screen where content is displayed may be considered to be an operation on the content. The terminal device 10 may be not only a smart device, but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.

The information providing device 100 is an information processing device that cooperates with the terminal device 10 of each user U and provides API (Application Programming Interface) services for various applications (hereinafter, apps) and various data to the terminal device 10 of each user U, and is realized by a server device, a cloud system, etc.

The information providing device 100 may also be an information processing device that provides some kind of web service online to the terminal device 10 of each user U. For example, the information providing device 100 may provide services such as Internet connection, search services, SNS (Social Networking Service), electronic commerce, electronic payment, online games, online banking, online trading, accommodation and ticket reservations, video and music distribution, news, maps, route searches, route guidance, line information, operation information, and weather forecasts as web services. In practice, the information providing device 100 may cooperate with various servers that provide the above-mentioned web services and act as an intermediary for the web services or be responsible for processing the web services.

The information providing device 100 can acquire user information about the user U. For example, the information providing device 100 acquires information about the attributes of the user U, such as the gender, age, and residential area of the user U. The information providing device 100 then stores and manages the information about the attributes of the user U together with identification information (such as a user ID) indicating the user U.

The information providing device 100 also acquires various types of history information (log data) indicating the behavior of the user U from the terminal device 10 of the user U, or from various servers based on the user ID, etc. For example, the information providing device 100 acquires a location history, which is a history of the location and date and time of the user U, from the terminal device 10. The information providing device 100 also acquires a search history, which is a history of search queries entered by the user U, from a search server (search engine). The information providing device 100 also acquires a browsing history, which is a history of content viewed by the user U, from a content server. The information providing device 100 also acquires a purchase history (payment history), which is a history of the product purchases and payment processing of the user U, from an electronic commerce server or a payment processing server. The information providing device 100 may also acquire a listing history, which is a history of listings on the marketplace by the user U, and a sales history, from an electronic commerce server or a payment processing server. In addition, the information providing device 100 acquires a posting history, which is a history of posts made by the user U, from a posting server that provides a word-of-mouth posting service or an SNS server.

[1-1. Methods for estimating comfort levels of working from home and proposing improvements]
Here, a method for estimating comfort level of telecommuting and proposing improvements will be described with reference to FIG.

As shown in FIG. 1, the information providing device 100 collects context information of user U directly from the terminal device 10 of user U via the network N, or indirectly via various servers (step S1).

For example, the context information of user U includes location information of user U, information about the density and size of the room in which user U is located, environmental sounds, illuminance, etc. Furthermore, the context information of user U may include attribute information of user U and various history information, etc. Note that the information providing device 100 may acquire the context information of user U from sensor information (sensor data) indicating the detection results of each sensor (sensor: detector) mounted on user U's terminal device 10, or may acquire the context information of user U from various online information.

Next, the information providing device 100 infers from the context information of user U that user U is working from home (teleworking) (step S2).

Next, if user U is telecommuting, the information providing device 100 estimates the comfort of the environment in which user U is telecommuting (comfort level of telecommuting) (step S3).

Next, if user U is not working from home comfortably (if the comfort level of working from home is below a threshold), the information providing device 100 suggests to user U's terminal device 10 that user U change the environment of his or her home (step S4).

[1-2. Estimation of telecommuting]
For example, the information providing device 100 estimates that the user U stays at home (or a place other than the workplace) for a long period of time (a certain period of time or more, for example, three hours or more) during the day on a weekday from the user U's location information, location history, etc. The information providing device 100 also estimates that the user U is employed from information about the user U's work, schedule information, or sensor information indicating the detection results of each sensor mounted on the terminal device 10. The information providing device 100 also estimates that the user U is employed (has not retired) and has an annual income from the user U's attribute information, etc. Then, the information providing device 100 estimates that the user U is working from home (teleworking) based on these estimates.

Note that working from home (teleworking) is just one example. In reality, the user U may be a freelancer or self-employed, or may be raising children or a full-time househusband or housewife. In other words, user U is anyone who stays at home (or somewhere other than the workplace) for a certain amount of time or more during the day and is engaged in some kind of work or task. User U may also not be working from home (teleworking), but may be someone who works alone or with a small number of people in a small (cramped) office, etc.

The home of user U may be, for example, a collective housing such as an apartment or condominium, or a detached house. Furthermore, buildings such as a home or a small (cramped) office have spaces separated by, for example, walls, partitions, floors, ceilings, etc. These spaces may be, for example, rooms, warehouses, corridors, etc. within a building. They may also include entrances, hallways, bathrooms, toilets, garages, etc. In other words, a space is a place where a person stays, enters, exits, or passes through. A space may be a place where a person lives or works, or a place where items used by a person are stored. Furthermore, a building may have one or more spaces.

[1-3. Estimation of comfort]
The information providing device 100 also estimates that environmental sounds or unpleasant sounds are occurring while the user U is staying at home (working from home) from information about the environmental sounds around the terminal device 10 of the user U. The information providing device 100 also estimates whether the room in which the user U is staying is bright/dark from information about the illuminance around the terminal device 10 of the user U.

The information providing device 100 also estimates how hot or cold the room where the user U is working is, based on meteorological information (weather forecast information) for the user U's place of residence and sensor information (temperature, air pressure, etc.) from the terminal device 10. The information providing device 100 also estimates the comfort of the environment in which the user U is telecommuting, based on pollen information (pollen dispersion information), heatstroke information, disaster prevention information (typhoons, heavy rain, floods, inundation, etc.), etc.

In addition, the information providing device 100 estimates whether user U has a private room in his/her home and whether the private room is large/small based on information about the layout of the user U's home and information about the detection of walls/partitions by each sensor (millimeter wave sensor, camera, etc.) of the terminal device 10. In addition, the information providing device 100 estimates whether user U is in/not in the private room while staying at home (working from home) based on user U's location information, location history, etc. For example, even if user U has private rooms in his/her home, there may be cases where the number is insufficient for the number of family members and user U is unable to use the private rooms.

In addition, when a user U who is estimated to be working from home (teleworking) based on the user U's location information, location history, etc., stays for a long time during the day on a weekday at a place other than the user's home or workplace (a store, a rental office, outdoors, etc.), the information providing device 100 may infer that there is a reason why the user U cannot/does not want to stay at home while working from home (teleworking).

The information providing device 100 also estimates that user U and the other users are together at home for a long period of time during the day on weekdays, based on the location information and location history of user U and the other users. At this time, the information providing device 100 may estimate that user U and the other users are in the same room. Alternatively, the information providing device 100 may estimate that the other users frequently enter or pass through the room where user U is (the living room, dining room, etc.). In other words, the information providing device 100 estimates the density of people in the room where user U is. At this time, the information providing device 100 may estimate the density of people in the room where user U is for each time period.

In addition, the information providing device 100 may estimate the density of objects (furniture, home appliances, luggage, etc.) present in the room, in addition to the density of people in the room where the user U is present, using each sensor (millimeter wave sensor, camera, etc.) of the terminal device 10.

The information providing device 100 may also estimate that user U and other users are frequently in close proximity to each other from location information or location history of user U and other users, or information on the distance between the terminal devices of user U and other users and mutual detection. In this case, the information providing device 100 may estimate that user U stands up or moves when another user approaches from sensor information (gyro information, etc.) of the terminal device 10.

Then, based on the above estimation, the information providing device 100 estimates the comfort of the environment in which user U works from home (comfort level of telecommuting). Alternatively, based on the above estimation, the information providing device 100 may estimate the difficulty of the environment in which user U works from home (uncomfort level of telecommuting). Note that the information providing device 100 may score the comfort and difficulty and express them as numerical values (comfort level, discomfort level).

The information providing device 100 also estimates whether the user U is satisfied or dissatisfied with the current state of the place (room) where he or she is working from home (teleworking). If the user U is satisfied with the current state of the room, it is presumed that the user U will not wish to change the current state of the room even if the room is small, noisy, and lacking in comfort. Conversely, if the user U is dissatisfied with the current state, it is presumed that the user U will strongly wish to change the current state of the room even if the room is large, quiet, and very comfortable.

For example, if user U frequently views real estate/housing information sites or advertisements for detached houses/apartments, etc., sites or advertisements related to moving to rural areas or workation (work + vacation), or sites or advertisements related to renovations, private rooms, soundproof walls, etc. (if the frequency is above a threshold), or if user U frequently searches for such information using a search engine, etc., the information providing device 100 presumes that user U is dissatisfied with the current state of the room. It may also be presumed that user U is dissatisfied with the current state of the room. Conversely, if user U does not take these actions, it is presumed that user U is satisfied with the current state of the room. Furthermore, the information providing device 100 may presume whether user U is satisfied or dissatisfied with the current state of the room from the content of user U's posts on SNS, etc.

The information providing device 100 may also have the user U evaluate whether he or she is satisfied or dissatisfied with the current state of the room where the user U is telecommuting. For example, the information providing device 100 may ask the user U through a questionnaire or the like whether the user U is satisfied or dissatisfied with the current state of the room, and estimate whether the user U is satisfied or dissatisfied with the current state of the room based on the content of the answer. At this time, whether the user U is satisfied or dissatisfied with the current state of the room may be expressed simply as "satisfied/dissatisfied" (Yes/No), or may be expressed as a five-point scale or the like. In other words, the information providing device 100 may score the satisfaction or dissatisfaction of the user U with the current state of the room, and express it as the degree of satisfaction/dissatisfaction of the user U with the current state of the room.

[1-4. Proposals for environmental improvement]
Furthermore, if the user U is not working from home comfortably, the information providing device 100 recommends relocation, introduces and guides properties, and provides other information related to relocation to the terminal device 10 of the user U. The information providing device 100 may not only recommend relocation to users who work from home, but also recommend relocation to private business owners (or managers) who work in a cramped office to a larger, more comfortable office. The information providing device 100 may also suggest relocation to rural areas for the purpose of workcation, rather than simply relocation.

In addition, the information providing device 100 may suggest renovating the home of the user U who is telecommuting to create a comfortable work environment. For example, the information providing device 100 may suggest installing soundproof walls and soundproofing materials, installing partitions, adding private rooms, etc.

The information providing device 100 may also provide suggestions and information according to the comfort of the environment in which the user U works from home (comfort level of working from home). For example, the information providing device 100 may provide different suggestions and information depending on the degree of comfort level of working from home.

2. Example of information processing system configuration
Next, a configuration of an information processing system 1 including an information providing device 100 according to an embodiment will be described with reference to Fig. 2. Fig. 2 is a diagram showing an example of a configuration of the information processing system 1 according to an embodiment. As shown in Fig. 2, the information processing system 1 according to an embodiment includes a terminal device 10 and an information providing device 100. These various devices are connected to each other via a network N so as to be able to communicate with each other by wire or wirelessly. The network N is, for example, a local area network (LAN) or a wide area network (WAN) such as the Internet.

Furthermore, the number of devices included in the information processing system 1 shown in FIG. 2 is not limited to that shown. For example, in FIG. 2, only one terminal device 10 is shown to simplify the illustration, but this is merely an example and is not limiting, and there may be two or more devices.

The terminal device 10 is an information processing device used by a user U. For example, the terminal device 10 is a smart device such as a smartphone or a tablet terminal, a feature phone, a PC (Personal Computer), a PDA (Personal Digital Assistant), a game console with a communication function, a car navigation system, a wearable device such as a smart watch or a head-mounted display, smart glasses, etc.

In addition, the terminal device 10 can connect to the network N via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system), or via short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN (Local Area Network), and communicate with the information providing device 100.

The information providing device 100 is, for example, a PC, a server device, a mainframe, a workstation, etc. The information providing device 100 may be realized by cloud computing.

3. Example of terminal device configuration
Next, the configuration of the terminal device 10 will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the terminal device 10. As shown in Fig. 3, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40.

(Communication unit 11)
The communication unit 11 is connected to a network N (see FIG. 2 ) by wire or wirelessly, and transmits and receives information to and from the information providing device 100 via the network N. For example, the communication unit 11 is realized by a network interface card (NIC), an antenna, or the like.

(Display unit 12)
The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic electro-luminescent display (OLED). The display unit 12 is also a touch panel display, but is not limited to this.

(Input unit 13)
The input unit 13 is an input device that accepts various operations from the user U. For example, the input unit 13 has buttons for inputting characters, numbers, and the like. The input unit 13 may be an input/output port (I/O port), a USB (Universal Serial Bus) port, or the like. In addition, when the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. In addition, the input unit 13 may be a microphone that accepts voice input from the user U, or the like. The microphone may be wireless.

(Positioning unit 14)
The positioning unit 14 receives signals (radio waves) transmitted from satellites of a GPS (Global Positioning System), and acquires position information (e.g., latitude and longitude) indicating the current position of the terminal device 10 based on the received signals. That is, the positioning unit 14 measures the position of the terminal device 10. Note that the GPS is merely an example of a GNSS (Global Navigation Satellite System).

The positioning unit 14 can also measure the position using various methods other than GPS. For example, the positioning unit 14 may measure the position using various communication functions of the terminal device 10 as an auxiliary positioning means for position correction, etc., as described below.

(Wi-Fi positioning)
For example, the positioning unit 14 uses a Wi-Fi (registered trademark) communication function of the terminal device 10 or a communication network provided by each communication company to measure the position of the terminal device 10. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the distance to a nearby base station or access point to measure the position of the terminal device 10.

(Beacon positioning)
Furthermore, the positioning unit 14 may measure the position by using a Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 measures the position of the terminal device 10 by connecting to a beacon transmitter connected by the Bluetooth (registered trademark) function.

(geomagnetic positioning)
In addition, the positioning unit 14 locates the position of the terminal device 10 based on a geomagnetic pattern of a structure that has been measured in advance and a geomagnetic sensor provided in the terminal device 10 .

(RFID positioning)
Furthermore, for example, if the terminal device 10 has a function of an RFID (Radio Frequency Identification) tag equivalent to a contactless IC card used at station ticket gates, in stores, etc., or has a function of reading an RFID tag, the location of use is recorded together with information on a payment or the like made by the terminal device 10. The positioning unit 14 may obtain such information to measure the location of the terminal device 10. Furthermore, the location may be measured by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.

If necessary, the positioning unit 14 may use one or a combination of the positioning means described above to determine the position of the terminal device 10.

(Sensor unit 20)
The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10. The connection may be wired or wireless. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices and wireless devices. In the example shown in FIG. 3, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, an air pressure sensor 23, a temperature sensor 24, a sound sensor 25, a light sensor 26, a magnetic sensor 27, and an image sensor (camera) 28.

The above-mentioned sensors 21 to 28 are merely examples and are not limiting. In other words, the sensor unit 20 may be configured to include some of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28.

The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects the physical movement of the terminal device 10, such as the direction of movement, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects the physical movement of the terminal device 10, such as the tilt in three axial directions, based on the angular velocity of the terminal device 10. The air pressure sensor 23 detects, for example, the air pressure around the terminal device 10.

Since the terminal device 10 is equipped with the above-mentioned acceleration sensor 21, gyro sensor 22, air pressure sensor 23, etc., it is possible to determine the position of the terminal device 10 using technology such as Pedestrian Dead-Reckoning (PDR) that utilizes these sensors 21 to 23. This makes it possible to obtain indoor position information that is difficult to obtain using positioning systems such as GPS.

For example, the number of steps, walking speed, and distance walked can be calculated using a pedometer that uses the acceleration sensor 21. In addition, the gyro sensor 22 can be used to know the user U's direction of travel, line of sight, and body inclination. In addition, the air pressure detected by the air pressure sensor 23 can be used to know the altitude and floor on which the user U's terminal device 10 is located.

The air temperature sensor 24 detects, for example, the air temperature around the terminal device 10. The sound sensor 25 detects, for example, sound around the terminal device 10. The light sensor 26 detects the illuminance around the terminal device 10. The magnetic sensor 27 detects, for example, the geomagnetism around the terminal device 10. The image sensor 28 captures an image around the terminal device 10.

The above-mentioned air pressure sensor 23, temperature sensor 24, sound sensor 25, light sensor 26, and image sensor 28 can detect the environment and situation around the terminal device 10 by detecting air pressure, temperature, sound, and illuminance, and capturing images of the surroundings. In addition, it is possible to improve the accuracy of the location information of the terminal device 10 based on the environment and situation around the terminal device 10.

(Control unit 30)
The control unit 30 includes, for example, a microcomputer having a central processing unit (CPU), a read only memory (ROM), a RAM, an input/output port, and various other circuits. The control unit 30 may also be configured with hardware such as an integrated circuit, for example, an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA). The control unit 30 includes a transmission unit 31, a reception unit 32, and a processing unit 33.

(Transmitter 31)
The transmission unit 31 can transmit, for example, various information input by the user U using the input unit 13, various information detected by each sensor 21 to 28 mounted on or connected to the terminal device 10, and location information of the terminal device 10 measured by the positioning unit 14 to the information providing device 100 via the communication unit 11.

(Receiving unit 32)
The receiving unit 32 can receive various information provided by the information providing device 100 and requests for various information from the information providing device 100 via the communication unit 11 .

(Processing Unit 33)
The processing unit 33 controls the entire terminal device 10, including the display unit 12, etc. For example, the processing unit 33 can output various pieces of information transmitted by the transmission unit 31 and various pieces of information received by the reception unit 32 from the information providing device 100 to the display unit 12 for display.

(Memory unit 40)
The storage unit 40 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk drive (HDD), a solid state drive (SSD), an optical disk, etc. Various programs and various data are stored in the storage unit 40.

4. Example of the configuration of the information providing device
Next, a configuration of the information providing device 100 according to the embodiment will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of the configuration of the information providing device 100 according to the embodiment. As shown in Fig. 4, the information providing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is also connected to a network N (see FIG. 2) in a wired or wireless manner.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 4 , the storage unit 120 has a user information database 121, a history information database 122, and a comfort information database 123.

(User information database 121)
The user information database 121 stores user information related to the user U. For example, the user information database 121 stores various information such as attributes of the user U. Fig. 5 is a diagram showing an example of the user information database 121. In the example shown in Fig. 5, the user information database 121 has items such as "User ID (Identifier)", "Age", "Gender", "Home", "Workplace", and "Interests".

"User ID" indicates identification information for identifying user U. Note that "user ID" may be contact information for user U (telephone number, email address, etc.) or may be identification information for identifying user U's terminal device 10.

Furthermore, "age" indicates the age of user U identified by the user ID. Note that "age" may be information indicating the specific age of user U (e.g., 35 years old) or information indicating the generation of user U (e.g., 30s). Alternatively, "age" may be information indicating user U's date of birth or information indicating user U's generation (e.g., born in the 1980s). Furthermore, "gender" indicates the gender of user U identified by the user ID.

"Home" indicates the location information of the home of user U, which is identified by the user ID. In the example shown in FIG. 5, "Home" is illustrated as an abstract code such as "LC11", but it may also be latitude and longitude information, etc. For example, "Home" may also be the name of a region or an address.

"Workplace" indicates the location information of the workplace (school in the case of a student) of user U identified by the user ID. In the example shown in FIG. 5, "workplace" is illustrated as an abstract code such as "LC12", but it may also be latitude and longitude information, etc. For example, "workplace" may also be the name of a region or an address.

Furthermore, "interests" indicate the interests of user U identified by the user ID. In other words, "interests" indicate subjects in which user U identified by the user ID is highly interested. For example, "interests" may be search queries (keywords) entered by user U into a search engine. Note that, although one "interest" is illustrated for each user U in the example shown in FIG. 5, there may be multiple "interests."

For example, in the example shown in FIG. 5, the age of user U identified by user ID "U1" is "20s" and the gender is "male." Also, for example, user U identified by user ID "U1" indicates that his home address is "LC11." Also, for example, user U identified by user ID "U1" indicates that his workplace is "LC12." Also, for example, user U identified by user ID "U1" indicates that he is interested in "sports."

In the example shown in FIG. 5, abstract values such as "U1", "LC11", and "LC12" are used to illustrate the data, but it is assumed that specific information such as character strings and numerical values is stored in "U1", "LC11", and "LC12". In the following figures relating to other information, abstract values may also be illustrated.

The user information database 121 may store various information according to the purpose, not limited to the above. For example, the user information database 121 may store various information related to the terminal device 10 of the user U. The user information database 121 may also store information related to the attributes of the user U, such as demographic attributes, psychographic attributes, geographic attributes, and behavioral attributes. For example, the user information database 121 may store information such as name, family structure, place of origin (hometown), occupation, job title, income, qualifications, type of residence (detached house, apartment, etc.), whether or not the user has a car, commuting time, commuting route, commuter pass section (station, line, etc.), frequently used station (other than the nearest station to home or workplace), extracurricular activities (location, time zone, etc.), hobbies, interests, and lifestyle.

(History information database 122)
The history information database 122 stores various information related to history information (log data) indicating the behavior of the user U. Fig. 6 is a diagram showing an example of the history information database 122. In the example shown in Fig. 6, the history information database 122 has items such as "user ID", "location history", "search history", "browsing history", "purchase history", and "posting history".

"User ID" refers to identification information for identifying user U. "Location history" refers to location history, which is a history of user U's location and movements. "Search history" refers to search history, which is a history of search queries entered by user U. "Browse history" refers to browse history, which is a history of content viewed by user U. "Purchase history" refers to purchase history, which is a history of purchases made by user U. "Post history" refers to posting history, which is a history of posts made by user U. "Post history" may include questions about user U's possessions.

For example, in the example shown in FIG. 6, user U identified by user ID "U1" moves as shown in "location history #1," searches as shown in "search history #1," views content as shown in "browsing history #1," purchases specific products at specific stores as shown in "purchase history #1," and posts as shown in "posting history."

In the example shown in FIG. 6, abstract values such as "U1", "Location History #1", "Search History #1", "Browse History #1", "Purchase History #1", and "Post History #1" are used for illustration, but it is assumed that specific information such as character strings and numerical values is stored in "U1", "Location History #1", "Search History #1", "Browse History #1", "Purchase History #1", and "Post History #1".

The history information database 122 may store various information depending on the purpose, not limited to the above. For example, the history information database 122 may store the usage history of a specific service by the user U. The history information database 122 may also store the history of the user U's visit to a physical store or the history of the user U's visit to a facility. The history information database 122 may also store the payment history of payments (electronic payments) made using the user U's terminal device 10.

(Comfort Information Database 123)
The comfort information database 123 stores various information related to history information (log data) indicating the behavior of the user U. Fig. 7 is a diagram showing an example of the comfort information database 123. In the example shown in Fig. 7, the comfort information database 123 has items such as "user ID", "place of stay", "area", "density", "ambient sound", "location environment", and "suitability".

"User ID" indicates identification information for identifying user U who is working from home (teleworking), etc. Furthermore, "place of stay" indicates information related to the place where user U who is working from home, etc. is staying. For example, if user U is staying at home, information such as the type of residence (owned/rented, detached house/apartment), whether or not a private room is available and whether it can be used, and the location of the room in which the user is staying (first floor, second floor, third floor or higher) may be indicated. Information related to the positional relationship between the room in which user U is staying and other rooms (next door, living room, kitchen, toilet, washroom, bathroom, etc.) may also be included. Furthermore, information related to the location of a room in an office building, a store such as a restaurant or coffee shop, a rental office, etc. where user U stays during the day (work hours) other than at home may also be included.

"Size" indicates the size of the room where user U is staying. Size may be expressed in terms of the number of tatami mats or square meters of the exclusive area, or in terms of the layout (studio room, 1K to 4LDK). "Density" indicates the density of people and things in the same room as user U. It may also indicate the frequency with which other people enter, exit, or pass through the room where user U is staying per unit time.

"Environmental sounds" refers to the volume and type of environmental sounds that the user U feels in the room in which the user U is staying. Environmental sounds are not limited to sounds generated indoors or outdoors in the place where the user U is staying, but also include sounds generated outdoors. Note that sounds that the user U does not find unpleasant may be excluded.

Furthermore, the "location environment" refers to the indoor environment other than the ambient sounds of the room where user U is staying, the surrounding environment of the place where user U is staying, etc. For example, it may include information such as the brightness (illuminance) of the room, or information regarding the location and distance of nearby shops such as convenience stores and supermarkets, train stations and bus stops, etc. It may also include information such as residential area/office district, city center/rural area, near mountains/river/seaside, etc. The location environment may also include information regarding the location of the place where user U is staying.

Furthermore, "suitability" indicates the degree to which the room in which user U is staying suits (matches) user U. Suitability may be estimated using techniques such as machine learning based on user U's preferences and behavior, or may be an evaluation by user U himself/herself. For example, suitability may be input (or answered) by user U himself/herself as to how satisfied he/she is with the room in which he/she is staying.

For example, in the example shown in FIG. 7, a user U identified by a user ID "U1" is staying in a room at "stay location #1", the size of the room is "size #1", the density of people and objects is "density #1", environmental sounds are occurring at a volume of "environmental sound #1", the environment is "location environment #1", and the degree of compatibility between user U and the room is "compatibility level #1".

In the example shown in FIG. 7, abstract values such as "U1", "place of stay #1", "area #1", "density #1", "ambient sound #1", "location environment #1" and "suitability #1" are used for illustration, but specific information such as character strings and numerical values is stored in "U1", "place of stay #1", "area #1", "density #1", "ambient sound #1", "location environment #1" and "suitability #1".

The comfort information database 123 may store various information according to the purpose, not limited to the above. For example, the comfort information database 123 may store information on the determination result (estimated result) of whether or not the user U is working from home (teleworking). The comfort information database 123 may also store the time period or period during which the user U stays at the stay location. The comfort information database 123 may also store information on other users who stay at the same stay location as the user U. The comfort information database 123 may also store information on candidate stay locations suitable for the user U (other locations estimated to have a high degree of suitability).

(Control unit 130)
Returning to Fig. 4, the description will be continued. The control unit 130 is a controller, and is realized by, for example, a central processing unit (CPU), a micro processing unit (MPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or the like, executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the information providing device 100 using a storage area such as a RAM as a working area. In the example shown in Fig. 4, the control unit 130 has an acquisition unit 131, an estimation unit 132, and a provision unit 133.

(Acquisition unit 131)
The acquisition unit 131 acquires a search query input by the user U. For example, when the user U inputs a search query into a search engine or the like to perform a keyword search, the acquisition unit 131 acquires the search query via the communication unit 110.

The acquisition unit 131 also acquires user information about the user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (such as a user ID) indicating the user U, location information of the user U, attribute information of the user U, and the like from the terminal device 10 of the user U. The acquisition unit 131 may also acquire identification information indicating the user U, attribute information of the user U, and the like when registering the user U. Then, the acquisition unit 131 registers the user information in the user information database 121 of the storage unit 120.

The acquisition unit 131 also acquires various types of history information (log data) indicating the behavior of the user U via the communication unit 110. For example, the acquisition unit 131 acquires various types of history information indicating the behavior of the user U from the terminal device 10 of the user U, or from various servers, etc. based on the user ID, etc. Then, the acquisition unit 131 registers the various types of history information in the history information database 122 of the storage unit 120.

Furthermore, the acquisition unit 131 acquires context information related to the location where the user U is staying via the communication unit 110. For example, the acquisition unit 131 acquires, as the context information, the detection results of a sensor mounted on the terminal device of the user U. Furthermore, the acquisition unit 131 acquires, as the context information, history information indicating the online behavior of the user U. Furthermore, the acquisition unit 131 acquires, as the context information, information related to the details of the location where the user U is staying.

(Estimation unit 132)
The estimation unit 132 estimates the comfort of the user U while staying at the place based on the context information. The estimation unit 132 also estimates that the user U is teleworking (teleworking) while staying at the place based on the context information. The estimation unit 132 also estimates whether the user U is satisfied or dissatisfied with the current state of the place.

At this time, the estimation unit 132 may perform machine learning on evaluation values (scores) such as the comfort level, suitability, and satisfaction/dissatisfaction level of the user U's current room. The evaluation value may be calculated for each item such as the size, density, noise, and whether or not the room is private. For example, the estimation unit 132 uses the context information of the user U and the evaluation value of the user U's current room as a data set to construct a learning model using a machine learning method using a neural network. Then, the estimation unit 132 inputs the context information of the user U into the constructed learning model and obtains the evaluation value of the user U's current room as an output from the learning model. Here, the estimation unit 132 inputs the context information of the user U into an evaluation value estimation model generated through machine learning using, for example, a recurrent neural network (RNN) or a long short-term memory (LSTM), and obtains the evaluation value of the user U's current room as an output from the evaluation value estimation model.

Note that the RNN and LSTM may be neural networks based on the mechanism of attention. Attention can handle data such as sentences in which the order of precedence and followance is important. The estimation unit 132 may also use a similar natural language processing model. By using such a model to generate an evaluation value from various context information of the user U, it is possible to generate an evaluation value that places more emphasis on the order of information.

(Providing Unit 133)
The providing unit 133 makes suggestions regarding improvement of the comfort of the user U according to the estimation result of the comfort of the user U. For example, the providing unit 133 provides the user U with information regarding other places where the comfort of the user U may be improved, and suggests to the user U that he or she change the place of stay. In addition, the providing unit 133 provides the user U with information regarding improvement of the comfort of the place where the user U is staying, and suggests to the user U that he or she make changes to the place of stay.

5. Processing Procedure
Next, a processing procedure performed by the information providing device 100 according to the embodiment will be described with reference to Fig. 8. Fig. 8 is a flowchart showing the processing procedure according to the embodiment. Note that the processing procedure shown below is repeatedly executed by the control unit 130 of the information providing device 100.

As shown in FIG. 8, the acquisition unit 131 of the information providing device 100 acquires context information related to the room in which the user U is staying via the communication unit 110 (step S101). For example, the acquisition unit 131 acquires, as the context information, the detection results of a sensor mounted on the terminal device of the user U, history information showing the online behavior of the user U, information related to the details of the room in which the user U is staying, etc.

Next, the estimation unit 132 of the information providing device 100 estimates, based on the context information, that the user U is working from home (teleworking) while staying in the room (step S102).

Next, the estimation unit 132 of the information providing device 100 estimates the comfort of the user U while staying in the room based on the context information (step S103).

Next, the estimation unit 132 of the information providing device 100 estimates whether or not the user U is dissatisfied with the current state of the room (step S104). At this time, if the user U is not dissatisfied with the current state of the room (step S104: No), the provision unit 133 of the information providing device 100 does nothing and ends the series of processes.

Next, if user U is dissatisfied with the current state of the room (step S104: Yes), the providing unit 133 of the information providing device 100 makes a proposal via the communication unit 110 regarding improving the comfort of user U's room according to the result of estimating user U's comfort (step S105). For example, the providing unit 133 provides user U's terminal device 10 with a recommendation to move, an introduction and guidance to properties, and other information related to moving. Alternatively, the providing unit 133 suggests renovating (refurbishing) the home of user U, who works from home, to create a comfortable working environment.

6. Modifications
The terminal device 10 and the information providing device 100 described above may be implemented in various different forms other than the above embodiment. Therefore, modifications of the embodiment will be described below.

In the above embodiment, some or all of the processing performed by the information providing device 100 may actually be performed by the terminal device 10. For example, the processing may be completed in a stand-alone manner (by the terminal device 10 alone). In this case, the terminal device 10 is assumed to have the functions of the information providing device 100 in the above embodiment. Also, in the above embodiment, since the terminal device 10 is linked to the information providing device 100, from the perspective of the user U, it appears that the processing of the information providing device 100 is also being performed by the terminal device 10. In other words, from another perspective, it can also be said that the terminal device 10 is equipped with the information providing device 100.

In the above embodiment, buildings such as a home or a small (cramped) office are described as examples, but in reality, the present invention is not limited to these examples. For example, the building may be an office building for a company, a commercial facility such as a store, an accommodation facility such as a hotel, an educational institution such as a school, a medical institution such as a hospital, a research institute, an industrial plant such as a factory, a logistics base such as a distribution center, etc. Also, the building may be a large commercial facility (shopping center/outlet mall/underground shopping mall), an entertainment facility (theme park/amusement park/game center/zoo/aquarium/pool/bathing facility), a cultural facility (hall/theater/library/art museum/museum), a complex facility, a sports facility, a temple or shrine, a service area (SA) or parking area (PA), or a train station, roadside station, airport, port (boarding point), etc.

The space where user U stays during the day is not limited to a room in a building, but may also be a passenger cabin in a vehicle, ship, aircraft, etc. Some people use their personal cars instead of private rooms. In other words, the space is not limited to a space where people live indoors, such as a house, but may also be a space where crew members and passengers spend time in an automobile, express bus, train, large passenger ship, airplane, etc. In other words, the space may be a living space inside a building or mobile object.

Furthermore, the terminal device 10 of the user U is not limited to being located in a building, but may be located in a space such as a tourist spot, a park, a waterfront, a campsite, a forest, a tunnel, or a cave. In other words, the space is not limited to being indoors, but may be outdoors. Even outdoors, there are spaces that are partitioned by obstacles such as walls, buildings, other structures, and natural objects. Furthermore, the space is not limited to being partitioned, but may be a space within a specified range centered on a certain point.

7. Effects
As described above, the information processing device (terminal device 10 and information providing device 100) of the present application includes an acquisition unit 131 that acquires context information related to the location where user U is staying, an estimation unit 132 that estimates the comfort of user U while staying at the location based on the context information, and a provision unit 133 that makes suggestions regarding improving user U's comfort based on the estimation result of user U's comfort.

For example, the acquisition unit 131 acquires the detection results of a sensor installed in the terminal device of the user U as context information.

The acquisition unit 131 also acquires historical information indicating the online behavior of the user U as context information.

The acquisition unit 131 also acquires information regarding details of the location where the user U is staying as context information.

The estimation unit 132 also estimates that the user U is working from home (teleworking) while staying at the location based on the context information.

The estimation unit 132 also estimates whether the user U is satisfied or dissatisfied with the current state of the location.

In addition, the providing unit 133 provides the user U with information about other locations where the user U's comfort may be improved, and suggests to the user U that he or she change the location of his or her stay.

In addition, the providing unit 133 provides the user U with information regarding improvements to the comfort of the place where the user U is staying, and suggests to the user U that he or she make improvements to the place where he or she is staying.

By using any one or a combination of the above-mentioned processes, the information processing device according to the present application can determine the necessity or possibility of a customer relocating based on the customer's current resident situation.

8. Hardware Configuration
Moreover, the terminal device 10 and the information providing device 100 according to the above-described embodiment are realized by a computer 1000 having a configuration as shown in Fig. 9, for example. The information providing device 100 will be described below as an example. Fig. 9 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output I/F (Interface) 1060, an input I/F 1070, and a network I/F 1080 are connected by a bus 1090.

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic device 1030 is realized, for example, by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that primarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), a HDD (Hard Disk Drive), a SSD (Solid State Drive), a flash memory, or the like. The secondary storage device 1050 may be an internal storage device or an external storage device. The secondary storage device 1050 may be a removable storage medium such as a USB (Universal Serial Bus) memory or a SD (Secure Digital) memory card. The secondary storage device 1050 may be a cloud storage device (online storage device), a NAS (Network Attached Storage), a file server, or the like.

The output I/F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a display, projector, printer, etc., and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (registered trademark) (High Definition Multimedia Interface). The input I/F 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, keypad, button, scanner, etc., and is realized by a USB, etc.

In addition, the output I/F 1060 and the input I/F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

The output device 1010 and the input device 1020 may be integrated together, such as a touch panel. In this case, the output I/F 1060 and the input I/F 1070 may also be integrated together as an input/output I/F.

The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

The network I/F 1080 receives data from other devices via the network N and sends it to the computing device 1030, and also transmits data generated by the computing device 1030 to other devices via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I/F 1060 and the input I/F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information providing device 100, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040 to realize the functions of the control unit 130. The arithmetic unit 1030 of the computer 1000 may also load a program acquired from another device via the network I/F 1080 onto the primary storage device 1040 and execute the loaded program. The arithmetic unit 1030 of the computer 1000 may also cooperate with other devices via the network I/F 1080 and use the functions and data of a program by calling them from other programs of the other devices.

[9. Other]
Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. The above-described components include those that can be easily imagined by a person skilled in the art, those that are substantially the same, and those that are within the so-called equivalent range. Furthermore, the above-described components can be appropriately combined. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the above-described embodiments.

Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, the information providing device 100 described above may be realized by multiple server computers, and depending on the functions, the configuration can be flexibly changed, such as by calling an external platform using an API (Application Programming Interface) or network computing.

The above-described embodiments and variations can be combined as appropriate to the extent that they do not cause inconsistencies in the processing content.

The above-mentioned "section, module, unit" can be read as "means" or "circuit." For example, an acquisition unit can be read as an acquisition means or an acquisition circuit.

REFERENCE SIGNS LIST 1 Information processing system 10 Terminal device 100 Information providing device 110 Communication unit 120 Storage unit 121 User information database 122 History information database 123 Comfort information database 130 Control unit 131 Acquisition unit 132 Estimation unit 133 Provision unit

Claims (10)

An acquisition unit that acquires context information of a user and context information related to a place where the user is staying;
an estimation unit that inputs the acquired context information into an estimation model that has been trained to learn a correspondence relationship between context information and a comfort level or a satisfaction level of the user , and estimates a comfort level or a satisfaction level of the user while staying at the place;
A determination unit that determines the necessity or possibility of relocation of the user according to the estimation result of the comfort level or satisfaction level of the user;
a provision unit that, when there is a need or possibility for the user to relocate, makes a proposal regarding another location where the user's comfort or satisfaction will be improved more than that of the location, and when there is no need or possibility for the user to relocate, makes a proposal regarding an improvement in the user's comfort or satisfaction at the location;
The acquisition unit acquires, as the context information, location information of the user, information regarding the density , size, environmental sound , and illuminance of the location where the user is located, attribute information of the user , various history information, and sensor information indicating detection results of each sensor mounted on the terminal device of the user,
The information processing device is characterized in that the estimation unit estimates that the user and the other user are together at the location, which is the user's home, for a long period of time during the day on a weekday from the location information or location history of the user and the other user included in the context information, and estimates that the user and the other user are in the same room or that the other user frequently enters , exits, or passes through a room where the user is, and estimates the comfort or satisfaction of the user while staying at the location . The information processing device according to claim 1, characterized in that the estimation unit estimates the density of objects present in the room, not limited to the density of people in the room where the user is located, from sensor information of the terminal devices of the user and other users, which is part of the context information, and estimates the comfort or satisfaction of the user while staying at the location . The information processing device according to claim 1 or 2, characterized in that the estimation unit estimates the heat or cold of the location where the user is staying from the weather information of the user's staying location and sensor information of the user's terminal device, which are included in the context information, and estimates the environmental comfort or satisfaction of the location where the user is staying from pollen dispersion information or heat stroke information, and disaster prevention information regarding typhoons, heavy rain, floods, and inundation. The information processing device described in any one of claims 1 to 3, characterized in that the estimation unit estimates that the location, the user's home, has a private room or that the private room is large or small from information regarding detection of walls or partitions by each sensor of the user's terminal device among the context information, and estimates whether the user is in the private room during his/her stay at home from the user's location information or location history, and estimates the user's comfort or satisfaction during his/her stay at home . The information processing device described in any one of claims 1 to 4, characterized in that the estimation unit estimates that the user is working from home based on the context information, and if the user estimated to be working from home from the user's location information or location history stays at a place other than home for a long period of time during the day on a weekday, estimates that there is a reason why the user cannot or does not want to stay at home while working from home, and estimates the user's comfort or satisfaction while working from home . The estimation unit is
Inferring whether the user is satisfied or dissatisfied with the current state of the place from the user's search history, browsing history, or posting history among the context information ;
The determination unit is
determining that if the user is satisfied with the current state of the place, the user does not wish to change the current state of the place even if the place is small, noisy, or less comfortable;
The information processing device according to any one of claims 1 to 5, characterized in that if the user is dissatisfied with the current state, it is determined that the user wishes to change the current state of the location even if the location is spacious, quiet, and comfortable. The information processing device of any one of claims 1 to 6, characterized in that the provision unit provides the user with information about other locations where the user's comfort or satisfaction may be improved, and when suggesting to the user to change their place of stay, not only suggests relocation to a user who works from home, but also suggests moving to a rural area for the purpose of workation, and suggests relocating to a larger, more comfortable office to a self-employed person or manager who works in a cramped office. The information processing device described in any one of claims 1 to 7, characterized in that the provision unit provides the user with information regarding improvements to the comfort or satisfaction of the place where the user is staying, and when suggesting to the user to make improvements to the place where the user is staying, suggests installing soundproof walls and soundproofing materials, installing partitions, and adding private rooms to create a comfortable working environment. An information processing method executed by an information processing device,
An acquisition step of acquiring context information of a user and context information related to a place where the user is staying;
an estimation step of inputting the acquired context information into an estimation model that has been trained on a correspondence relationship between context information and a comfort level or a satisfaction level of the user, and estimating a comfort level or a satisfaction level of the user while staying at the place;
A determination step of determining the necessity or possibility of relocating the user according to the estimated result of the comfort level or satisfaction level of the user;
providing a proposal for another location where the user's comfort or satisfaction will be improved more than that of the location when there is a need or possibility for the user to relocate, and a proposal for improving the user's comfort or satisfaction at the location when there is no need or possibility for the user to relocate;
In the acquiring step, location information of the user, information on the density , size, environmental sound , and illuminance of the location where the user is located, attribute information of the user , various history information, and sensor information indicating the detection results of each sensor mounted on the terminal device of the user are acquired as the context information,
The information processing method is characterized in that the estimation process estimates that the user and the other users are together at the location, which is the user's home, for a long period of time during the day on a weekday from the location information or location history of the user and the other users among the context information, and estimates that the user and the other users are in the same room or that the other users frequently enter, exit, or pass through the room where the user is, and estimates the user's comfort or satisfaction while staying at the location . an acquisition step for acquiring context information of a user and context information related to a location where the user is staying;
an estimation step of inputting the acquired context information into an estimation model that has been trained on a correspondence relationship between context information and a comfort level or a satisfaction level of the user, and estimating a comfort level or a satisfaction level of the user while staying at the place;
a determination step of determining the necessity or possibility of relocating the user depending on the estimated result of the comfort level or satisfaction level of the user;
and a provision procedure for making a proposal for another location where the user's comfort or satisfaction will be improved more than that of the location when there is a need or possibility for the user to relocate, and making a proposal for improving the user's comfort or satisfaction at the location when there is no need or possibility for the user to relocate, the information processing program for causing a computer to execute the provision procedure,
In the acquisition step, location information of the user, information regarding the density , size, environmental sound , and illuminance of the location where the user is located, attribute information of the user , various history information, and sensor information indicating detection results of each sensor mounted on the terminal device of the user are acquired as the context information,
The information processing program, characterized in that the estimation step estimates that the user and the other user are together at the location, which is the user's home, for a long period of time during the day on a weekday from location information or location history of the user and the other user among the context information, and estimates that the user and the other user are in the same room or that the other user frequently enters, exits, or passes through a room where the user is, and estimates the user's comfort or satisfaction while staying at the location .

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