JP2022039743A - Information processor, method for processing information, and information processing program - Google Patents

Abstract

To provide proper information to a user.SOLUTION: The information processor of the present application includes an acquisition unit, an estimation unit, a calculation unit, and a provision unit. The acquisition unit acquires plural pieces of positional information showing the positions of plural users. The estimation unit estimates the number of moving users, who are users moving in an area, on the basis of the plural pieces of positional information acquired by the acquisition unit. The calculation unit calculates the average time of the users moving in the area on the basis of the number of moving users estimated by the estimation unit. The provision unit provides a user with information according to the average calculated by the calculation unit.SELECTED DRAWING: Figure 3

Description

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

Conventionally, various techniques for eliminating congestion of people (users) have been provided. For example, there is provided a technique for carrying out appropriate dispatch reservation operation in a situation where the use of elevators from each floor of a building is concentrated and the waiting time at a landing or the arrival time at a destination floor increases.

Japanese Unexamined Patent Publication No. 2020-066513

However, the above-mentioned conventional technique may not always be able to provide appropriate information to the user. For example, in the above-mentioned prior art, the elevator vehicle allocation is adjusted to eliminate the congestion of the user, and the user is not considered to provide information such as the congestion status of the elevator. Therefore, it is desired to provide appropriate information to the user according to the situation of movement, not limited to the elevator.

The present application has been made in view of the above, and an object of the present application is to provide an information processing device, an information processing method, and an information processing program that appropriately provide information to a user.

The information processing apparatus according to the present application is a user who is moving in an area based on an acquisition unit that acquires a plurality of position information indicating each position of a plurality of users and the plurality of position information acquired by the acquisition unit. An estimation unit that estimates the number of moving users, and a calculation unit that calculates the temporal average of the moving users in the area based on the number of moving users estimated by the estimation unit. , A providing unit that provides the user with information according to the average calculated by the calculating unit.

According to one aspect of the embodiment, there is an effect that appropriate information can be provided to the user.

FIG. 1 is a diagram showing an example of information processing according to an embodiment. FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 3 is a diagram showing a configuration example of the information processing apparatus according to the embodiment. FIG. 4 is a diagram showing an example of a user information storage unit according to an embodiment. FIG. 5 is a diagram showing an example of an area information storage unit according to an embodiment. FIG. 6 is a diagram showing an example of the aggregated information storage unit according to the embodiment. FIG. 7 is a flowchart showing an example of information processing according to the embodiment. FIG. 8 is a diagram showing an example of displaying the content according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device.

Hereinafter, the information processing apparatus, the information processing method, and the embodiment for implementing the information processing program (hereinafter referred to as “the embodiment”) according to the present application will be described in detail with reference to the drawings. It should be noted that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

(Embodiment)
[1. Information processing]
First, an example of information processing according to an embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of information processing according to an embodiment. In the example of FIG. 1, the information processing apparatus 100 is the number of users (also referred to as “moving users”) who are moving in each of the plurality of areas based on the plurality of position information indicating the positions of the plurality of users. Is shown here. The area may be appropriately set in an arbitrary range. The area may be divided into meshes of similar size based on latitude and longitude. That is, the area may be an area separated by a regional mesh. In this case, a regional mesh code may be used for the area ID that identifies each area. In addition, in the above example, the area may be set based on various information, not limited to the area mesh. For example, the area may be set based on administrative divisions such as "town", "ward", "city", and "prefecture". Further, the area may be set for each facility such as a store, or may be set for each street, shopping district, or the like.

[Information processing system configuration]
Prior to the description of FIG. 1, the configuration of the information processing system 1 will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of an information processing system according to an embodiment. As shown in FIG. 2, the information processing system 1 includes a terminal device 10, a data providing device 50, and an information processing device 100. The terminal device 10, the data providing device 50, and the information processing device 100 are connected to each other via a predetermined network N so as to be communicable by wire or wirelessly. The information processing system 1 shown in FIG. 2 includes a plurality of terminal devices 10, a plurality of terminal devices 10, a plurality of data providing devices 50, and a plurality of information processing devices 100. May be good.

The terminal device 10 is a computer used by the user. The terminal device 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. FIG. 1 shows a case where the terminal device 10 is a smartphone. In the following, the terminal device 10 may be referred to as a user. That is, in the following, the user can be read as the terminal device 10.

Further, it is assumed that the terminal device 10 has a function such as a GPS (Global Positioning System) sensor and can detect and acquire the position of the user. Further, the terminal device 10 has the position information of the base station that is communicating, a predetermined wireless communication function such as Wi-Fi (registered trademark) (Wireless-Fidelity) and Bluetooth (registered trademark), and a function such as a beacon. It may be used to detect and acquire the user's position information. In the following, the position information may be simply described as "position". For example, the terminal device 10 may improve the estimation accuracy of the user's position by combining information such as GPS, a wireless communication function as described above, and a beacon. Further, the terminal device 10 transmits various information such as a position to the information processing device 100. The terminal device 10 periodically (for example, every 15 seconds, every minute, etc.) transmits the position of the user to the information processing device 100. The terminal device 10 transmits not only the position of the user but also the action history indicating the user's action to the information processing device 100.

Further, the terminal device 10 may detect various sensor information not only by a GPS sensor or the like but also by various sensors. The terminal device 10 transmits various sensor information detected by the sensor to the information processing device 100. The terminal device 10 has an acceleration sensor and detects acceleration information (sensor information) in the movement of the user. The terminal device 10 has an image sensor such as an image sensor, and detects user's image information (sensor information). The terminal device 10 has a sound sensor such as a microphone and detects voice information (sensor information). Further, the terminal device 10 may have various functions such as a temperature sensor and a barometric pressure sensor, and may be able to detect and acquire environmental information such as temperature and barometric pressure in which the user is placed. For example, a user who uses the terminal device 10 may be able to acquire the user's own context information by the terminal device 10 by wearing a wearable device capable of communicating with the terminal device 10. For example, the terminal device 10 has various sensors and detects various sensor information. For example, a user who uses the terminal device 10 wears a wristband-type wearable device capable of communicating with the terminal device 10, and the terminal device 10 acquires information on the user's own heartbeat (pulse) by the terminal device 10. It may be possible. Further, the terminal device 10 has various functions such as a blood glucose level sensor and a heart rate sensor, and detects biological information (sensor information) such as a user's blood glucose level (blood glucose level information) and heart rate (heart rate information). It may be available. The terminal device 10 may collect sensor information detected by a sensor other than its own device and transmit it to the information processing device 100.

In the following, the user identified by the user ID "U1" may be referred to as "user U1". As described above, in the following, when "user U * (* is an arbitrary numerical value)" is described, it means that the user is a user identified by the user ID "U *". For example, when "user U2" is described, the user is a user identified by the user ID "U2". Further, in the example shown in FIG. 1, the terminal device 10 will be described as the terminal devices 10-1 to 10-3 according to the user who uses the terminal device 10. For example, the terminal device 10-1 is a terminal device 10 used by a user (user U1) identified by the user ID "U1". Further, for example, the terminal device 10-2 is a terminal device 10 used by being identified by the user ID "U2" (user U2). Further, in the following, when the terminal devices 10-1 to 10-3 will be described without particular distinction, they will be referred to as the terminal device 10.

The data providing device 50 is a server that provides various types of data to the information processing device 100. For example, the data providing device 50 may provide infectious disease information related to an infectious disease to the information processing device 100. Further, for example, the data providing device 50 may provide data related to weather such as weather and air temperature to the information processing device 100. The data providing device 50 may provide event information regarding an event performed in each place to the information processing device 100. For example, the data providing device 50 provides the information processing device 100 with open data, which is so-called widely open data. For example, the data providing device 50 may be an information processing device managed by each local government and providing data held by the local government to the outside as data. The data providing device 50 is not limited to the above as long as it is data (information) permitted to be used, and various data such as road information and other traffic-related data, geospatial information, disaster prevention / mitigation information, procurement information, statistical information, and the like. Data may be provided.

The information processing apparatus 100 is a computer that estimates the number of moving users who are moving in an area based on a plurality of position information indicating the positions of each of the plurality of users. The information processing apparatus 100 calculates the temporal average of the moving users in the area based on the number of moving users.

Further, the information processing apparatus 100 provides the user with information according to the calculated average of the moving users. For example, the information processing device 100 acquires information on the user's position such as GPS, a wireless communication function as described above, and a beacon from the terminal device 10, and by combining the information, the estimation accuracy of the user's position is improved. You may.

The information processing system 1 is not limited to the above-mentioned device, and may include various devices. For example, the information processing system 1 may include a computer (store device) used by the manager of each store located in the area. For example, the store device is realized by a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like. The store device transmits various information about the store to the information processing device 100. The store appliance transmits the information requested by the information processing apparatus 100 to the information processing apparatus 100. The store device transmits store information including various information such as the location of the store, the number of seats, the size, the number of clerk, the number of windows, and the number of terrace seats to the information processing device 100. The store device transmits congestion information indicating the degree of congestion of the store to the information processing device 100. For example, the store device transmits full vacancy information indicating the vacancy rate of the store (for example, full occupancy, 90% operation, etc.) to the information processing device 100 as congestion information.

Further, the store device may transmit the sensor information detected by the sensor arranged in the store to the information processing device 100. Further, the sensor information may be any information as long as it is information detected by the sensor. For example, the sensor information may be image information related to the store detected by the image sensor. To give a specific example, the sensor information may be image information showing the movement of a clerk in the store. For example, the sensor information may be voice information related to the store detected by the sound sensor. To give a specific example, the sensor information may be voice information indicating the degree of liveliness (for example, noisy, quiet, etc.) in the store. Further, the sensor information may be information on a body temperature check performed on the user at the time of entering the store, that is, information on the user's body temperature. For example, the sensor information may be the user's body temperature data detected by a heat sensor or the like placed in the store. In this case, the information processing system 1 may measure the body temperature data of the user at the time of entering the store and collect the number of users who can enter the store as aggregated information. For example, the store device measures the body temperature data of the user at the time of entering the store and transmits the number of users who can enter to the information processing device 100, and the information processing device 100 transmits the number of received users. It may be collected as aggregated information indicating the number of users located in the store. Further, the store device measures the user's body temperature data at the time of entering the store and transmits information for identifying the user who can enter the store to the information processing device 100, and the information processing device 100 identifies the received user. The user specified by the information may be estimated as the user located in the store.

From here, the flow of information processing will be described with reference to FIG. In the example of FIG. 1, the information processing apparatus 100 acquires the position of the terminal apparatus 10 used by the users U1 to U5 by the function of the GPS sensor or the like possessed by the terminal apparatus 10 used by the users U1 to U5 and the like. The map MP1 shown in FIG. 1 schematically shows the positions of the users U1 to U5. Map MP1 shows four areas, A area, B area, C area, and D area, but the target area is not limited to four areas, but more than four areas such as E area and F area. Suppose there is.

First, the information processing device 100 acquires the position information LC1 from the terminal device 10-1 used by the user U1 (step S11-1). In the example of FIG. 1, although the position information is illustrated by an abstract code such as LC1, the position information may be information indicating a specific latitude or longitude (latitude / longitude information) or the like. Further, hereinafter, "position information LC * (* is an arbitrary numerical value)" may be described as "position LC *". For example, when the description is described as "position LC1", it means that the position corresponds to the position information LC1. The information processing apparatus 100 acquires the position LC1 of the user U1 in the period # 12. In the example of FIG. 1, the position LC1 is assumed to be a position in the A area. For example, the user U1 is a user who is walking around the city.

Further, the information processing device 100 acquires the position information LC2 from the terminal device 10-2 used by the user U2 (step S11-2). The information processing apparatus 100 acquires the position LC2 of the user U2 in the period # 12. In the example of FIG. 1, the position LC2 is assumed to be a position in the B area. Further, the information processing device 100 acquires the position information LC3 from the terminal device 10-3 used by the user U3 (step S11-3). The information processing apparatus 100 acquires the position LC3 of the user U3 in the period # 12. In the example of FIG. 1, the position LC3 is assumed to be a position in the store X in the area A.

Further, the information processing device 100 acquires the position information LC4 from the terminal device 10-4 used by the user U4 (step S11-4). The information processing apparatus 100 acquires the position LC4 of the user U4 in the period # 12. In the example of FIG. 1, the position LC4 is assumed to be a position in the building Y in the D area. Further, the information processing apparatus 100 acquires the position information LC5 from the terminal apparatus 10-5 used by the user U5 (step S11-5). The information processing apparatus 100 acquires the position LC5 of the user U5 in the period # 12. In the example of FIG. 1, the position LC5 is assumed to be a position in the D area.

Hereinafter, when steps S11-1 to S11-5 are described without distinction, they are collectively referred to as step S11. Further, the acquisition of the position of each user may be performed a plurality of times, not limited to steps S11-1 to S11-5. Although five users U1 to U5 are illustrated in FIG. 1, the information processing apparatus 100 is not limited to the users U1 to U5, and a large number of users such as the user U6 and the user U7 (for example, one million users) are shown. Acquire the position of 10 million users, etc.).

As a result, the information processing apparatus 100 collects information about the user (step S12). For example, the information processing apparatus 100 collects the positions LC1 to LC5 and the like of the users U1 to U5 in the period # 12 as shown in the user position list UL.

Then, the information processing apparatus 100 estimates the state of each user (step S13). The information processing apparatus 100 estimates whether or not the user is moving. For example, the information processing apparatus 100 estimates whether the user is a moving user or a user who is not a moving user (also referred to as a “staying user”) based on the position of the user. For example, the information processing apparatus 100 estimates that a user located outside the road is a moving user. For example, the information processing apparatus 100 estimates that a user located in the facility is a staying user.

Further, the information processing apparatus 100 may estimate for each user whether or not each user is moving based on the change of the acquired plurality of position information. The information processing apparatus 100 estimates the movement speed of one user based on the plurality of position information of the user and the acquisition date and time of the position information, and the movement speed is a predetermined threshold value (for example, 4 km / h). Etc.) If it is the above, it may be presumed that the one user is a moving user. The information processing apparatus 100 estimates the movement speed of one user based on the plurality of position information of the user and the acquisition date and time of the position information, and the movement speed is equal to or higher than a predetermined threshold value. , The one user may be presumed to be a moving user.

The information processing apparatus 100 may estimate the user's state by appropriately using various information, not limited to the user's position information. For example, the information processing device 100 may receive acceleration information of each user from the terminal device 10 and estimate the state of each user based on the acceleration information of each user. The information processing device 100 may estimate whether or not the user is moving based on the acceleration information of the user received from the terminal device 10 having the acceleration sensor. For example, the information processing apparatus 100 may estimate the state of the user in each area based on the sensor information detected by the image sensor installed in each area. For example, the information processing apparatus 100 may analyze an image captured by an image sensor installed in each area and estimate the state of the user in each area. Further, the information processing apparatus 100 may exclude users who are located in the area for a predetermined time (for example, 15 minutes, 1 hour, etc.) or more from users who are moving in the area. The predetermined time is set larger as the size of the area is larger. For example, the information processing apparatus 100 may exclude users who are located in the same area for a plurality of periods from users who are moving in the area. In this way, the information processing apparatus 100 excludes users who are in the same area for a predetermined time from moving users.

The information processing apparatus 100 estimates the states of the users U1 to U5 and the like as shown in the user position list UL. The information processing apparatus 100 estimates that the user U1 is a moving user. The information processing apparatus 100 estimates that the user U2 is a moving user. The information processing apparatus 100 estimates that the user U3 is a staying user located in the store X. When the store device of the store X transmits the information for identifying the user who can enter by measuring the body temperature data of the user at the time of entering the store X to the information processing device 100, the information processing device 100 receives the information. The staying user located in the store X may be estimated by using the information for identifying the user. Further, the information processing device 100 measures the body temperature data of the user at the time of entering the store X, receives the number of users who can enter the store X from the store device of the store X, and aggregates the number of users staying at the store X. It may be collected as information. The information processing apparatus 100 estimates that the user U4 is a staying user located in the building Y. The information processing apparatus 100 estimates that the user U5 is a moving user.

Then, the information processing apparatus 100 estimates the number of moving users (step S14). The information processing apparatus 100 estimates the number of moving users in each area during period # 12. For example, the information processing apparatus 100 estimates a user located in each area by comparing the information indicating the range of each area with the position of each user. For example, when the position of the user is included in the area A, the information processing apparatus 100 estimates that the user is located in the area A. Then, the information processing apparatus 100 estimates the number of moving users in each area by counting the number of moving users among the users located in each area. As shown in the estimation list EL, the information processing apparatus 100 estimates the number of moving users in the A area in the period # 12 as MN12. Further, the information processing apparatus 100 estimates that the number of moving users in the B area during the period # 12 is MN22. Similarly, the information processing apparatus 100 estimates that the number of moving users in the C, D, and E areas in the period # 12 is MN32, MN42, and MN52. For the period before the period # 12 (period # 11 etc.), it is assumed that the number of moving users has already been estimated by the same processing.

Then, the information processing apparatus 100 calculates a temporal average (also simply referred to as “average”) of the moving users in the area (step S15). The information processing apparatus 100 calculates an average for each area based on the number of moving users for each period. As shown in the average list AL, the information processing apparatus 100 adds up the number of moving users “MN11” in the period # 11, the number of moving users “MN12” in the period # 12, and the like for the A area, and sets the period. The average "AV11" is calculated by dividing by a number. By the same processing, the information processing apparatus 100 calculates the average "AV21" in the B area, calculates the average "AV31" in the C area, calculates the average "AV41" in the D area, and calculates the average "AV51" in the E area. Is calculated. Of the areas A to E, the average of area A is the highest.

Then, the information processing apparatus 100 provides the user with information according to the calculated average (step S16). In FIG. 1, the information processing apparatus 100 provides information to a user U1 who is moving in the A area having the highest average, that is, the A area where it is estimated that many users are walking around the city. For example, the information processing apparatus 100 provides the user U1 with information indicating the average status of each area. That is, the information processing apparatus 100 provides the user U1 who is walking in the area A with information indicating that the area A is not in an appropriate situation for walking in the city. The information processing device 100 may transmit the average list AL to the terminal device 10-1 of the user U1. The information processing device 100 may provide the terminal device 10-1 of the user U1 with the content CT1 that displays the average of each area in the form of a heat map, but the content CT1 will be described in detail in FIG.

In this way, the information processing apparatus 100 provides information to the users according to the time average of the moving users in the area, thereby suppressing the influence when the number of moving users temporarily increases. , The situation of the user who is moving in the area can be estimated appropriately, and appropriate information can be provided to the user. In FIG. 1, the information processing apparatus 100 provides the user U1 who is moving in the area A having the highest average with information indicating the average status of each area, thereby indicating which area has few moving users. It can be made to be grasped by the user U1. Thereby, the information processing apparatus 100 can enable the user U1 to comfortably walk around the city.

When the size (area) of each area is different, the information processing apparatus 100 may normalize the number of moving users in each area. For example, the information processing apparatus 100 estimates the number of moving users per unit area of each area by dividing the number of moving users in each area by the area of each area, and the moving users per unit area. Treatment may be performed using the number of.

[1-1. Area congestion]
The information processing apparatus 100 is not limited to the above, and various estimations may be performed using various information. This point will be described below. The information processing apparatus 100 may estimate the degree of congestion in each area. The information processing apparatus 100 estimates the degree of congestion (congestion level) in each area based on the number of users located in each area (also referred to as "total number of users").

For example, the information processing apparatus 100 estimates the congestion level indicating the degree of congestion in each area by comparing the total number of users in each area with the threshold value used for specifying the congestion level. When the total number of users in the area is equal to or greater than the first threshold value, the information processing apparatus 100 estimates that the congestion level in the area is "high". When the total number of users in the area is less than the first threshold value and greater than or equal to the second threshold value smaller than the first threshold value, the information processing apparatus 100 estimates that the congestion level in the area is "medium". When the total number of users in the area is less than the second threshold value, the information processing apparatus 100 estimates that the congestion level in the area is "low".

The above is an example, and the congestion level is not limited to three stages, and may be, for example, two stages depending on whether or not congestion is present, or four or more stages. Further, the threshold values used for estimating the congestion level of each area may be common or different. Further, when the size (area) of each area is different, the information processing apparatus 100 may normalize the total number of users in each area. For example, the information processing apparatus 100 estimates the total number of users per unit area of each area by dividing the total number of users in each area by the area of each area, and uses the total number of users per unit area for treatment. May be done. Further, when the area is a facility, the congestion level may be registered by the staff of each facility or the like.

For example, a threshold value such as a first threshold value or a second threshold value is appropriately set, but may vary depending on a social situation. For example, the threshold value may vary depending on the epidemic situation such as a viral infection such as influenza or coronavirus or a cold. For example, when the number of patients with viral infections, colds, etc. is increasing, the administrator of the information processing apparatus 100 may reduce the threshold value. That is, when the number of patients with viral infections or colds is increasing, it may be determined that the number of patients is smaller than usual. Further, when the epidemic such as a viral infection or a cold ends, the administrator of the information processing apparatus 100 may increase the threshold value. That is, when the epidemic of a viral infection or a cold has ended, or when the number of patients with a viral infection or a cold is increasing, the criteria for determining congestion may be relaxed.

[1-2. Type of congestion]
Further, the information processing apparatus 100 may estimate the type of congestion in each area. The information processing apparatus 100 may estimate the type of congestion in each area by using the sensor information detected by the sensor.

The information processing apparatus 100 estimates whether or not the congestion in the area is a congestion accompanied by noise. For example, the information processing apparatus 100 estimates whether or not the congestion in the area is a congestion accompanied by noise by using the image detected by the image sensor. The information processing apparatus 100 analyzes the image detected by the image sensor, and estimates whether or not the congestion is a congestion accompanied by noise when the movement of the user in the area satisfies a predetermined condition.

Further, the information processing apparatus 100 estimates whether or not the congestion in the area is a congestion accompanied by noise by using the voice information detected by the sound sensor. When the volume detected by the sound sensor is equal to or higher than a predetermined threshold value, the information processing apparatus 100 estimates that the area is congested with noise.

Further, the information processing apparatus 100 may extract information such as a child's voice, a car sound, and a yelling voice from the voice information detected by the sound sensor, and estimate the atmosphere of the area based on the extracted information. .. The information processing apparatus 100 may presume that the area where the voice of a child is abundant is in a calm state. The information processing apparatus 100 may presume that the area where there are many yells is in a noisy state.

[1-3. SNS, etc.]
The information processing apparatus 100 may estimate the area using various information, not limited to the sensor information. For example, the information processing apparatus 100 may estimate the area by using the behavior information of the user on the Internet. The information processing apparatus 100 includes information (posted information) posted by the user in a social networking service (SNS), search information by the user (search information), information for browsing content by the user (browsing information), and the like. Various information may be used.

For example, the information processing apparatus 100 may use posted information posted by a user on Twitter (registered trademark), Facebook (registered trademark), or the like. The information processing apparatus 100 may specify an area-related post from the posted information of the SNS and estimate the congestion type according to the analysis result. The information processing apparatus 100 estimates whether or not the congestion in the area is a congestion accompanied by noise by using the posted information. The information processing apparatus 100 analyzes text information and images of posted information about events and crowds in the area, and estimates whether or not the congestion in the area is a congestion accompanied by noise based on the contents thereof.

The information processing apparatus 100 may estimate the specific content of congestion based on the posted information of the SNS and the like. The information processing apparatus 100 analyzes posted information about an area where congestion is occurring, identifies an event occurring in that area, an event such as a fire or an accident that has occurred, and considers the identified event as the cause of congestion. You may estimate. Then, the information processing device 100 may transmit information indicating the estimated cause of congestion to the user's terminal device 10. As a result, the information processing apparatus 100 can allow the user to understand what kind of congestion (busyness) the congestion is.

[1-4. Visiting users]
Further, the information processing apparatus 100 may estimate whether or not the user located in the area is a user (visiting user) who has come from outside the area. For example, the information processing apparatus 100 is either a user (living area user) whose residence (home) or office (work location) is located in the area, or a visiting user who is another user. May be estimated.

The information processing apparatus 100 may acquire user information of the user and estimate whether the user located in the area is a living area user or a visiting user based on the user information. For example, the information processing apparatus 100 may acquire a user's behavior history and estimate whether the user located in the area is a living area user or a visiting user based on the user's behavior history.

For example, the information processing apparatus 100 acquires information on the user's home and work location from the user information storage unit 121 (see FIG. 4), and neither the user's home nor work location is located in the area where the user is located. If so, it is presumed that the user is a visiting user to the area. When at least one of the user's home and work location is located in the area where the user is located, the information processing apparatus 100 estimates that the user is a living area user in the area.

For example, in the information processing apparatus 100, the ratio of the number of visiting users to the total number of users in a congested area (congested area) where the congestion level is equal to or higher than a predetermined value (for example, “high”) is equal to or higher than the predetermined value. In some cases, it is presumed that the congestion is caused by the visiting user. In this way, the information processing apparatus 100 may estimate whether the user in the area is a user who has come from a distance or a user who is always present, and may estimate whether the congestion is due to a user who has come from a distance.

[1-5. Destination〕
Further, the information processing apparatus 100 may estimate the destination of the moving user. For example, the information processing apparatus 100 estimates the destination of the moving user based on the user's action history. For example, the information processing apparatus 100 estimates the destination of the moving user based on the moving direction and the moving progress of the user.

For example, the information processing apparatus 100 estimates the destination of the moving user based on the information posted by the user. In this case, when the information posted by the user includes information indicating the user's destination, the information processing apparatus 100 estimates that the destination is the destination of the moving user.

For example, when the information processing apparatus 100 acquires the schedule information indicating the user's schedule, the information processing apparatus 100 estimates the destination of the moving user based on the schedule information. In this way, the information processing apparatus 100 estimates the destination of each user and estimates the user who is moving to the estimated destination.

[2. Information processing device configuration]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 3, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing device 100 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the information processing device 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. You may have.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network by wire or wirelessly, and transmits / receives information to / from the terminal device 10.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 3, the storage unit 120 according to the embodiment includes a user information storage unit 121, an area information storage unit 122, and an aggregate information storage unit 123.

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various information about the user. For example, the user information storage unit 121 stores various information related to user attributes. FIG. 4 is a diagram showing an example of a user information storage unit according to an embodiment. The user information storage unit 121 shown in FIG. 4 includes items such as "user ID", "age", "gender", "home", "work location", "latest position", and "state".

The "user ID" indicates identification information for identifying a user. For example, the user identified by the user ID "U1" corresponds to the user U1 shown in the example of FIG. Further, "age" indicates the age of the user. The "age" may be a specific age of the user, for example, 35 years old. Further, "gender" indicates the gender of the user.

Further, "home" indicates the location information of the user's home. In FIG. 4, "home" is an abstract code such as "LC11", but is information indicating latitude and longitude or information indicating an address such as "Z town, Y city, X prefecture". May be good. It may be latitude / longitude information or the like. Further, for example, "home" may be a region name or an address.

Further, the "work location" indicates the location information of the user's work location. In FIG. 4, the "work location" is an abstract code such as "LC12", but is information indicating latitude and longitude or information indicating an address such as "Z town, Y city, X prefecture". You may. Further, for example, the "work location" may be a region name or an address.

Further, the "latest position" indicates the latest position of the user. For example, "latest position" indicates the last acquired position for the user. In FIG. 4, the "latest position" is an abstract code such as "LC1 (A area)", but information indicating latitude and longitude and an address such as "Z town, Y city, X prefecture" are shown. It may be information indicating, or it may be information indicating an area in which the user is located.

Further, the "state" indicates the estimated state of the user. For example, "state" indicates the state of the user when the latest position is acquired. In FIG. 4, the “state” indicates a case indicating either “moving” or “staying”. In addition, when the "state" is "stay", the information in parentheses indicates where the person is staying. The "state" is estimated by the information processing apparatus 100 based on the position information, sensor information, and action history of each user.

For example, the age of the user (user U1) identified by the user ID "U1" is "20's", and the gender is "male". User U1 indicates that his home is "LC11". User U1 indicates that the work location is "LC12". Further, it is shown that the latest position of the user U1 is the position LC1 in the A area. The state of the user U1 indicates that it is "moving".

The user information storage unit 121 is not limited to the above, and may store various information depending on the purpose. For example, the user information storage unit 121 may store information regarding the demographic attributes and information regarding the psychographic attributes of the user. For example, the user information storage unit 121 may store information such as a name, family structure, income, interests, and lifestyle. The user information storage unit 121 may store the date and time when the position information was last acquired, that is, the date and time when the latest position was acquired.

(Area information storage unit 122)
The area information storage unit 122 according to the embodiment stores various information about the area. FIG. 5 is a diagram showing an example of an area information storage unit according to an embodiment. For example, the area information storage unit 122 stores information about various areas. The area information storage unit 122 shown in FIG. 5 includes items such as "area ID", "area", "area information", and "estimated information".

The "area ID" indicates identification information for identifying the area. "Area" indicates the name of the area. For example, the "area" may be "XX town", "YY shopping street", "○○ restaurant X town store", or the like, depending on the area.

Further, "area information" indicates area information of each area. Various information such as the location and range of the corresponding area is stored in the "area information". The information stored as the area information of each area is not limited to the above.

In FIG. 5, "area information" illustrates abstract codes such as "area information # 1" and "area information # 2", while area information # 1, area information # 2, etc. relate to each area. Contains various information. For example, the area information # 1 indicates a place or a range in which the A area is located.

"Estimated information" indicates estimated information about an area. The "estimated information" includes items such as "period # 11" and "period # 12". In the example of FIG. 5, only "period # 11" and "period # 12" are shown, but "period # 1", "period # 2", "period # 13", "period # 14", etc. Items corresponding to the number of periods targeted for estimation shall be included.

"Period # 11" and "Period # 12" indicate the period targeted for estimation. In FIG. 5, the period is illustrated by an abstract code such as “period # 11” or “period # 12”, but each period such as “period # 11” or “period # 12” is “August 2020”. It shall be a specific period such as "9:10-20 minutes on the 8th". For example, if the period is "August 8, 2020 9:10-20", the estimated information is the location of the user acquired between 9:10-20 August 8, 2020. Indicates that the information is estimated based on the information. The period is not limited to the above as long as the date and time of the estimation target can be specified, and may indicate one time point such as "August 8, 2020 9:15".

The "period # 11" and "period # 12" include items such as "total number of users" and "number of moving users". "Total number of users" indicates the number of users estimated to be located in the area in the corresponding period. In FIG. 5, the "total number of users" is shown as an abstract code such as "UN11" or "UN21", but is assumed to be a specific number such as "100" or "3000". "Number of moving users" Indicates the number of users estimated to be moving in the area during the corresponding period. In FIG. 5, the "number of moving users" is shown as an abstract code such as "MN11" or "MN21", but is assumed to be a specific number such as "70" or "5000". ..

In the example of FIG. 5, the area identified by the area ID “AR1” has the name “A area”, and the area information is the area information # 1. Area A indicates that during period # 11, the total number of users is estimated to be "UN11" and the number of moving users is estimated to be "MN11". Further, the area A indicates that in the period # 12, the total number of users is estimated to be "UN12", and the number of moving users is estimated to be "MN12".

The area information storage unit 122 is not limited to the above, and may store various information depending on the purpose.

(Aggregate information storage unit 123)
The aggregated information storage unit 123 according to the embodiment stores various information related to the aggregated information for each area. FIG. 6 is a diagram showing an example of the aggregated information storage unit according to the embodiment. The aggregated information storage unit 123 shown in FIG. 6 has items such as "aggregate ID", "aggregate target", and "aggregate information".

The "aggregate ID" indicates identification information for identifying the aggregated information. "Aggregation target" indicates the target of aggregation information.

"Aggregated information" indicates information aggregated for each area. The "aggregate information" includes items such as "A area", "B area", "C area", "D area", and "E area". In the example of FIG. 5, only "A area" to "E area" are shown, but it corresponds to the number of areas such as "F area", "G area", "Y area", and "Z area". Items shall be included. In FIG. 5, the "aggregate information" illustrates abstract codes such as "AV11" and "AV21", but a number indicating a specific average is stored, for example, "76 people" or "1250 people". Etc. It shall be a concrete number.

In FIG. 6, it is shown that the aggregated information identified by the aggregated ID “TZ1” is the aggregated information whose aggregation target is the “moving user”. For the moving user, the average of the A area is "AV11", the average of the B area is "AV21", the average of the C area is "AV31", and the average of the D area is "AV41". show.

The aggregated information storage unit 123 is not limited to the above, and may store various information depending on the purpose.

(Control unit 130)
Returning to the description of FIG. 3, the control unit 130 is a controller, and is stored in a storage device inside the information processing device 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Various programs (corresponding to an example of an information processing program) are realized by executing the RAM as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 130 includes an acquisition unit 131, an estimation unit 132, a calculation unit 133, a generation unit 134, and a provision unit 135, and has functions and operations of information processing described below. Realize or execute. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 3, and may be any other configuration as long as it is configured to perform information processing described later. Further, the connection relationship of each processing unit included in the control unit 130 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

(Acquisition unit 131)
The acquisition unit 131 acquires various information. The acquisition unit 131 acquires various information from an external device such as the terminal device 10. Further, the acquisition unit 131 acquires various information from the storage unit 120. Further, the acquisition unit 131 acquires various information from the user information storage unit 121, the area information storage unit 122, the aggregated information storage unit 123, and the like. For example, the acquisition unit 131 may acquire various information from the data providing device 50. For example, the acquisition unit 131 may acquire various information from various external information processing devices such as a server managed by the Japan Meteorological Agency.

The acquisition unit 131 acquires a plurality of position information indicating each position of the plurality of users. The acquisition unit 131 acquires information indicating the user's position from the terminal device 10 used by the user. The acquisition unit 131 acquires the sensor information detected by the sensor. The acquisition unit 131 acquires sensor information, which is image information detected by a sensor that detects an image. The acquisition unit 131 acquires sensor information, which is acceleration information detected by the sensor that detects acceleration. The acquisition unit 131 acquires sensor information, which is voice information detected by a sensor that detects sound. The acquisition unit 131 acquires the sensor information detected by the sensor of the terminal device 10 used by the user. The acquisition unit 131 acquires sensor information from the terminal device 10 used by the user.

The acquisition unit 131 acquires the posted information posted by the user in the social network service. The acquisition unit 131 acquires a plurality of user information for each of the plurality of users. The acquisition unit 131 acquires the action history of each of the plurality of users as a plurality of user information. The acquisition unit 131 acquires the information estimated by the estimation unit 132.

(Estimation unit 132)
The estimation unit 132 estimates various types of information using the information acquired by the acquisition unit 131. The estimation unit 132 estimates various information and stores the estimated information in the storage unit 120. The estimation unit 132 estimates various information about each area. The estimation unit 132 estimates the number of users located in the area, and stores the estimated number of users in the area information storage unit 122 in association with the area. The estimation unit 132 estimates the number of moving users in the area, and stores the estimated number of moving users in the area information storage unit 122 in association with the area.

The estimation unit 132 estimates the number of moving users who are moving in the area based on the plurality of position information acquired by the acquisition unit 131. The estimation unit 132 estimates the number of moving users in the area at predetermined intervals. The estimation unit 132 excludes users who are located in the area for a predetermined time or longer from users who are moving in the area. The estimation unit 132 estimates the number of moving users in the area based on the sensor information acquired by the acquisition unit 131.

The estimation unit 132 estimates the type of congestion in the area based on the posted information. The estimation unit 132 estimates whether or not the congestion in the area is a congestion accompanied by noise. The estimation unit 132 estimates whether or not the user located in the area is a visiting user from outside the area, based on the plurality of user information acquired by the acquisition unit 131. The estimation unit 132 estimates whether or not the user located in the area is a visiting user based on the behavior history of each of the plurality of users. The estimation unit 132 estimates a user whose movement speed is equal to or higher than a predetermined threshold value as a moving user. The estimation unit 132 estimates the degree of congestion by users located in the area based on a plurality of position information acquired by the acquisition unit 131. The estimation unit 132 estimates the destination of the user while the area is moving.

The estimation unit 132 estimates the state of each user. The estimation unit 132 estimates whether or not the user is moving. The estimation unit 132 estimates whether the user is a moving user or a staying user who is not a moving user, based on the position of the user. The estimation unit 132 estimates the users located in each area by comparing the information indicating the range of each area with the position of each user. The estimation unit 132 estimates the degree of congestion (congestion level) in each area based on the number of users located in each area (total number of users).

(Calculation unit 133)
The calculation unit 133 calculates various types of information using the information acquired by the acquisition unit 131. The calculation unit 133 calculates various types of information using the information estimated by the estimation unit 132. The calculation unit 133 calculates various information based on the various information stored in the storage unit 120. The calculation unit 133 calculates the average of the moving users.

The calculation unit 133 calculates the temporal average of the moving users in the area based on the number of moving users estimated by the estimation unit 132. The calculation unit 133 calculates the average based on the number of moving users for each predetermined period. For example, the calculation unit 133 adds up the number of moving users “MN11” in the period # 11, the number of moving users “MN12” in the period # 12, and divides the area A by the number of periods. The average "AV11" is calculated.

(Generation unit 134)
The generation unit 134 generates various information using the information acquired by the acquisition unit 131. The generation unit 134 generates various types of information using the information estimated by the estimation unit 132. The generation unit 134 generates various types of information using the information calculated by the calculation unit 133.

The generation unit 134 generates the content using the average calculated by the calculation unit 133. The generation unit 134 uses the average calculated by the calculation unit 133 to generate content that is a heat map showing the average amount of the plurality of areas.

The generation unit 134 generates various contents such as the content CT1. The generation unit 134 generates the content CT1 which is a heat map. For example, the generation unit 134 appropriately uses various technologies such as Java (registered trademark) to generate a screen (content) to be provided to the terminal device 10. The generation unit 134 may generate a screen (content) to be provided to the terminal device 10 based on the format of CSS, Javascript (registered trademark), or HTML. Further, for example, the generation unit 134 may generate screens (contents) in various formats such as JPEG (Joint Photographic Experts Group), GIF (Graphics Interchange Format), and PNG (Portable Network Graphics).

(Providing section 135)
The providing unit 135 provides various information. The providing unit 135 transmits various information to the terminal device 10 and the data providing device 50. The providing unit 135 provides the user with information according to the average calculated by the calculation unit 133. The providing unit 135 provides the content generated by the generating unit 134. The providing unit 135 transmits the content CT1 generated by the generating unit 134 to the terminal device 10.

For example, the providing unit 135 provides information to the user U1 who is moving in the A area having the highest average, that is, the A area where it is estimated that many users are walking around the city. The providing unit 135 provides the user U1 with information indicating the average status of each area. The providing unit 135 provides the user U1 who is walking in the area A with information indicating that the area A is not in an appropriate situation for walking in the city. The providing unit 135 transmits the average list AL to the terminal device 10-1 of the user U1.

[3. Information processing flow]
Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to FIG. 7. FIG. 7 is a flowchart showing an example of information processing according to the embodiment.

As shown in FIG. 7, the information processing apparatus 100 acquires a plurality of position information indicating the positions of the plurality of users (step S101). Then, the information processing apparatus 100 estimates the number of moving users who are moving in the area based on the plurality of position information (step S102).

Then, the information processing apparatus 100 calculates the temporal average of the moving users in the area based on the number of moving users (step S103). The information processing apparatus 100 provides the user with information according to the average (step S104).

[4. Display example]
Here, FIG. 8 is used to show an example of displaying the content generated by the information processing apparatus 100. FIG. 8 is a diagram showing an example of displaying the content according to the embodiment. The information processing apparatus 100 generates the content CT1 which is the heat map shown in FIG. 8 and transmits it to the terminal apparatus 10. The terminal device 10 that has received the content CT1 displays the content CT1.

Each area such as the A area shown in the content CT1 corresponds to each area of the map MP1. FIG. 8 shows a case where 16 areas are displayed on the terminal device 10. Specifically, FIG. 8 shows a case where the entire eight areas of A area to D area, W area to Z area, and a part of the other eight areas are displayed on the terminal device 10.

For example, a user who uses the terminal device 10 touches and operates the screen of the terminal device 10 with a finger to change a display mode such as a display position, a display range, and a display size of the content CT1. For example, the user who uses the terminal device 10 changes the display position of the content CT1 by swiping the content CT1. Further, the user who uses the terminal device 10 changes the display range of the content CT1 by performing a pinch operation on the content CT1. For example, the user who uses the terminal device 10 performs a pinch-in operation on the content CT1 to reduce the display of the content CT1. For example, the user who uses the terminal device 10 performs a pinch-out operation on the content CT1 to enlarge the content CT1. As a result, the user who uses the terminal device 10 can display a desired portion of the content CT1.

As shown in FIG. 8, the content CT1 shows the average amount of moving users in each area in a display mode such as a heat map. In the example of FIG. 8, the darker the hatching of the area, the larger the number of users moving in the area, that is, the denser the moving users. In the example of FIG. 8, the hatching of the A area and the Z area in the content CT1 is the darkest, and the number of moving users is large in the A area and the Z area.

As described above, the information processing apparatus 100 can appropriately generate the content related to the movement of the user in each area by generating the content CT1 which shows the number of users moving in each area by the heat map. Further, the information processing device 100 transmits the content CT1 indicated by the heat map to the terminal device 10, and the terminal device 10 presents the content CT 1 to the user to provide the user with information regarding the movement of the user in each area. Can be done.

[4-1. Other display examples]
The above is an example, and the information processing apparatus 100 may generate various contents and display them on the terminal apparatus 10. For example, the information processing device 100 may generate content with various particle sizes and display it on the terminal device 10. For example, the information processing system 1 may change the appearance of the heat map depending on whether it is uniform or concentrated.

For example, the terminal device 10 may be roughly displayed by a display mesh for each area as shown in FIG. 8, and may be displayed so that the spot can be confirmed by the data of the store or the like in the area in which the user is interested. For example, the terminal device 10 may display information on facilities such as stores in an area selected by the user. In this way, the information processing system 1 may separate global data and local data.

Further, the information processing system 1 may change the display mode of a facility such as a store according to the congestion of the facility. For example, the information processing system 1 accepts the registration of the congestion level of each facility from the staff of each facility or the like. For example, when the store is crowded, the information processing system 1 displays the color of the icon of the store in a color different from the normal time. When the congestion level of a store is equal to or higher than a predetermined value, the information processing system 1 changes the normal color (for example, white) of the icon of the store to the color at the time of congestion (red) and displays it. For example, the information processing system 1 may change the color of the facility stepwise according to the congestion level.

The above display example is an example, and the information processing system 1 displays the desired information of the user by appropriately using various information.

[5. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes an acquisition unit 131, an estimation unit 132, a calculation unit 133, and a provision unit 135. The acquisition unit 131 acquires a plurality of position information indicating each position of the plurality of users. The estimation unit 132 estimates the number of moving users who are moving in the area based on the plurality of position information acquired by the acquisition unit 131. The calculation unit 133 calculates the temporal average of the moving users in the area based on the number of moving users estimated by the estimation unit 132. The providing unit 135 provides the user with information according to the average calculated by the calculation unit 133.

As described above, the information processing apparatus 100 according to the embodiment estimates the number of moving users in the area based on the position information of the users, calculates the temporal average of the moving users in the area, and averages them. By providing the corresponding information to the user, it is possible to provide the information to the user according to the number of moving users in the area. Therefore, the information processing apparatus 100 can provide appropriate information to the user.

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 estimates the number of moving users in the area at predetermined intervals. The calculation unit 133 calculates the average based on the number of moving users for each predetermined period. As described above, the information processing apparatus 100 according to the embodiment suppresses the influence of transient increase of moving users by calculating the average based on the number of moving users in a predetermined period. Therefore, information can be provided to users according to the number of moving users in the area. Therefore, the information processing apparatus 100 can provide appropriate information to the user.

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 excludes users who are located in the area for a predetermined time or longer from the users who are moving in the area. As described above, the information processing apparatus 100 according to the embodiment can more accurately estimate the moving user in the area by excluding the user who is presumed to be staying in the area.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires the sensor information detected by the sensor. The estimation unit 132 estimates the number of moving users in the area based on the sensor information acquired by the acquisition unit 131. As described above, the information processing apparatus 100 according to the embodiment can estimate the moving user of the area more accurately by estimating the moving user of the area by using the sensor information.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires sensor information which is image information detected by a sensor that detects an image. As described above, the information processing apparatus 100 according to the embodiment can estimate the moving user of the area more accurately by estimating the moving user of the area by using the image.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires sensor information which is acceleration information detected by a sensor that detects acceleration. As described above, the information processing apparatus 100 according to the embodiment can estimate the moving user of the area more accurately by estimating the moving user of the area by using the acceleration information.

Further, in the information processing device 100 according to the embodiment, the acquisition unit 131 acquires the sensor information detected by the sensor of the terminal device 10 used by the user. As described above, the information processing apparatus 100 according to the embodiment can estimate the moving user of the area more accurately by estimating the moving user of the area by using the sensor information detected by the terminal device 10. can.

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 estimates the degree of congestion in the area based on the sensor information. As described above, the information processing apparatus 100 according to the embodiment can accurately estimate the degree of congestion in the area by estimating the degree of congestion in the area using the sensor information.

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 estimates the type of congestion in the area based on the sensor information. As described above, the information processing apparatus 100 according to the embodiment can accurately estimate the degree of congestion in the area by estimating the type of congestion in the area using the sensor information.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires the posted information posted by the user in the social network service. The estimation unit 132 estimates the type of congestion in the area based on the posted information. As described above, the information processing apparatus 100 according to the embodiment can accurately estimate the degree of congestion in the area by estimating the type of congestion in the area using the posted information posted by the user in the social network service. ..

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 estimates whether or not the congestion in the area is accompanied by noise. As described above, the information processing apparatus 100 according to the embodiment appropriately estimates whether or not the congestion in the area affects the surroundings by estimating whether or not the congestion in the area is accompanied by noise. can do.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires a plurality of user information of each of the plurality of users. The estimation unit 132 estimates whether or not the user located in the area is a visiting user from outside the area, based on the plurality of user information acquired by the acquisition unit 131. As described above, the information processing apparatus 100 according to the embodiment estimates whether or not the user located in the area is a visiting user from outside the area based on a plurality of user information, so that the person located in the area is located in the area. Can be appropriately estimated whether or not the user has the area as a living area.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires the action history of each of the plurality of users as a plurality of user information. The estimation unit 132 estimates whether or not the user located in the area is a visiting user based on the behavior history of each of the plurality of users. As described above, the information processing apparatus 100 according to the embodiment is located in the area by estimating whether or not the user located in the area is a visiting user from outside the area based on the behavior history of the plurality of users. It is possible to appropriately estimate whether or not the person who uses the information is a user whose living area is the area.

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 estimates a user whose movement speed is equal to or higher than a predetermined threshold value as a moving user. As described above, the information processing apparatus 100 according to the embodiment can more accurately estimate the moving user in the area by estimating whether the user is moving according to the moving speed.

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 estimates the degree of congestion by the user located in the area based on the plurality of position information acquired by the acquisition unit 131. As described above, the information processing apparatus 100 according to the embodiment can more accurately estimate the degree of congestion in the area by estimating the degree of congestion by the users located in the area based on the plurality of position information.

Further, in the information processing apparatus 100 according to the embodiment, the estimation unit 132 estimates the destination of the moving user in the area. As described above, the information processing apparatus 100 according to the embodiment can estimate the destination of the moving user by estimating the destination of the moving user in the area.

Further, the information processing apparatus 100 according to the embodiment has a generation unit 134. The generation unit 134 generates the content using the average calculated by the calculation unit 133. The providing unit 135 provides the content generated by the generating unit 134. As described above, the information processing apparatus 100 according to the embodiment can provide appropriate information to the user by providing the content generated by using the average.

Further, in the information processing apparatus 100 according to the embodiment, the generation unit 134 uses the average calculated by the calculation unit 133 to generate content which is a heat map showing the average amount of the plurality of areas. As described above, the information processing apparatus 100 according to the embodiment can generate information which is a heat map, thereby enabling the user to intuitively understand the number of moving users in each area. can.

[6. Hardware configuration]
The information processing apparatus 100 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD (Hard Disk Drive) 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via the network N and sends it to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the network N.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be acquired from another device via the network N.

Although some of the embodiments and modifications of the present application have been described in detail with reference to the drawings, these are examples and various based on the knowledge of those skilled in the art, including the embodiments described in the disclosure line of the invention. It is possible to carry out the present invention in another form in which the above is modified or improved.

[7. others〕
Further, among the processes described in the above-described embodiments and modifications, all or part of the processes described as being automatically performed can be manually performed, or are described as being manually performed. It is also possible to automatically perform all or part of the processed processing by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of them may be functionally or physically distributed / physically in any unit according to various loads and usage conditions. Can be integrated and configured.

Further, the above-described embodiments and modifications can be appropriately combined as long as the processing contents do not contradict each other.

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

1 Information processing system 100 Information processing device 121 User information storage unit 122 Area information storage unit 123 Aggregate information storage unit 130 Control unit 131 Acquisition unit 132 Estimating unit 133 Calculation unit 134 Generation unit 135 Providing unit 10 Terminal device 50 Data providing device N network

Claims (20)

An acquisition unit that acquires a plurality of position information indicating each position of a plurality of users, and
An estimation unit that estimates the number of moving users who are moving users in an area based on the plurality of position information acquired by the acquisition unit.
A calculation unit that calculates the temporal average of the moving users in the area based on the number of moving users estimated by the estimation unit.
A providing unit that provides the user with information according to the average calculated by the calculating unit, and a providing unit.
An information processing device characterized by being equipped with. The estimation unit
The number of the moving users in the area is estimated every predetermined period, and the number of the moving users is estimated.
The calculation unit
The information processing apparatus according to claim 1, wherein the average is calculated based on the number of users on the move for each predetermined period. The estimation unit
The information processing apparatus according to claim 1 or 2, wherein a user who is located in the area for a predetermined time or longer is excluded from the moving user in the area. The acquisition unit
Acquires the sensor information detected by the sensor and
The estimation unit
The information processing apparatus according to any one of claims 1 to 3, wherein the number of moving users in the area is estimated based on the sensor information acquired by the acquisition unit. The acquisition unit
The information processing apparatus according to claim 4, wherein the sensor information, which is the image information detected by the sensor for detecting an image, is acquired. The acquisition unit
The information processing apparatus according to claim 4, wherein the sensor information, which is the acceleration information detected by the sensor for detecting the acceleration, is acquired. The acquisition unit
The information processing device according to any one of claims 4 to 6, wherein the sensor information detected by the sensor of the terminal device used by the user is acquired. The estimation unit
The information processing apparatus according to any one of claims 4 to 7, wherein the degree of congestion in the area is estimated based on the sensor information. The estimation unit
The information processing apparatus according to any one of claims 4 to 8, wherein the type of congestion in the area is estimated based on the sensor information. The acquisition unit
Get the posted information posted by users on social network services,
The estimation unit
The information processing apparatus according to claim 9, wherein the type of congestion in the area is estimated based on the posted information. The estimation unit
The information processing apparatus according to claim 9, wherein it estimates whether or not the congestion in the area is accompanied by noise. The acquisition unit
Acquire a plurality of user information of each of the plurality of users,
The estimation unit
Any of claims 1 to 11, wherein it is estimated whether or not a user located in the area is a visiting user from outside the area based on the plurality of user information acquired by the acquisition unit. The information processing apparatus according to item 1. The acquisition unit
The action history of each of the plurality of users is acquired as the plurality of user information, and the behavior history is acquired.
The estimation unit
The information processing apparatus according to claim 12, further comprising estimating whether or not a user located in the area is a visiting user based on the behavior history of each of the plurality of users. The estimation unit
The information processing apparatus according to any one of claims 1 to 13, wherein a user whose movement speed is equal to or higher than a predetermined threshold value is estimated to be the moving user. The estimation unit
The information processing apparatus according to any one of claims 1 to 14, wherein the degree of congestion by a user located in the area is estimated based on the plurality of position information acquired by the acquisition unit. The estimation unit
The information processing apparatus according to any one of claims 1 to 15, wherein the destination of the moving user in the area is estimated. A generation unit that generates content using the average calculated by the calculation unit,
Further prepare
The providing part
The information processing apparatus according to any one of claims 1 to 16, wherein the content generated by the generation unit is provided. The generator is
The information processing apparatus according to claim 17, wherein the content, which is a heat map showing the amount of the average in a plurality of areas, is generated by using the average calculated by the calculation unit. It is an information processing method executed by a computer.
An acquisition process for acquiring a plurality of position information indicating each position of a plurality of users, and
An estimation step of estimating the number of moving users who are moving users in an area based on the plurality of position information acquired by the acquisition step, and an estimation step.
A calculation step of calculating the temporal average of the moving users in the area based on the number of the moving users estimated by the estimation step, and a calculation step.
A providing process that provides the user with information according to the average calculated by the calculation process, and
An information processing method characterized by including. An acquisition procedure for acquiring multiple location information indicating each position of multiple users, and
An estimation procedure for estimating the number of moving users who are moving users in an area based on the plurality of location information acquired by the acquisition procedure, and an estimation procedure.
A calculation procedure for calculating the temporal average of the moving users in the area based on the number of moving users estimated by the estimation procedure, and a calculation procedure.
A provision procedure for providing the user with information according to the average calculated by the calculation procedure, and a provision procedure.
An information processing program characterized by having a computer execute.

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