JP2019152892A - Information processing apparatus, information processing method and information processing program - Google Patents

Abstract

To make an appropriate response in response to disturbance of user movement.SOLUTION: An information processing apparatus according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires position information of a user and occurrence information on earthquake, eruption, tsunami, strike, war, terrorism or traffic trouble among events occurring in an area the user positions. The determination unit determines to perform response processing relating to a service provided to the user based on the occurrence information when disturbance regarding movement of the user by the event satisfies a predetermined condition.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 providing a user with a service suitable for the user's situation have been provided. For example, a technique for supplying an advertisement linked to an environment surrounding an advertisement recipient is provided.

JP 2002-215656 A

  However, in the above-described conventional technology, it is not always possible to enable an appropriate response according to the disturbance of the user's movement. For example, simply distributing an advertisement to a large display arranged at a predetermined position does not necessarily mean that the user visually recognizes the advertisement displayed on the large display. Thus, even when the movement of the user is hindered, it is difficult to say that a service suitable for the user's situation can be provided, and it may be difficult to provide a service suitable for the user's situation. is there.

  The present application has been made in view of the above, and an object of the present invention is to provide an information processing apparatus, an information processing method, and an information processing program that enable an appropriate response in accordance with a disturbance of a user's movement.

  The information processing apparatus according to the present application acquires position information of a user and occurrence information related to an earthquake, an eruption, a tsunami, a strike, a war, terrorism, or a traffic trouble among events occurring in the area where the user is located. And a determination unit that, based on the occurrence information, determines to perform a corresponding process that is a process related to a service provided to the user when a disturbance related to the movement of the user due to the event satisfies a predetermined condition And.

  According to one aspect of the embodiment, there is an effect that it is possible to make an appropriate response according to the disturbance of the movement of the user.

FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information processing system according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of a user information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of the store information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of the corresponding action information storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of a content information storage unit according to the embodiment. FIG. 8 is a diagram illustrating an example of the level information storage unit according to the embodiment. FIG. 9 is a flowchart illustrating an example of information processing according to the embodiment. FIG. 10 is a diagram illustrating an example of content determination according to the embodiment. FIG. 11 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus.

  Hereinafter, an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

(Embodiment)
[1. Information processing)
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. In the example of FIG. 1, the information processing apparatus 100 is a process related to a service provided to a user (hereinafter, also referred to as “corresponding process”) in response to a disturbance related to the movement of the user due to an event that occurs in an area where the user is located. ) Is determined. In the example of FIG. 1, a traffic trouble that is a train delay is shown as an example of an event. Specifically, in the example of FIG. 1, the case of a train delay due to a weather phenomenon (rainfall) is shown as an example. Note that the disturbance related to the movement of the user referred to here may be that the user cannot move due to factors other than the user himself / herself. For example, the disturbance related to the movement of the user may be caused to stop the user at a point (area) where the user is located due to an event. In the following, the handling process may be described as handling action. In the following, we will show advertisement distribution and adding coupons to receipts as an example of response actions. Although it may be behavior (processing), details will be described later.

  In addition, events that occur in the area where the user is located are not limited to traffic troubles, and may be various events such as earthquakes, eruptions, tsunamis, strikes, wars, and terrorism. Further, the traffic trouble is not limited to the influence of rainfall, but may be a trouble based on other factors such as a personal injury, equipment failure, and facility inspection. The traffic trouble is not limited to a delay but may be a trouble such as operation stop. Moreover, it is not limited to a train, and may be a moving means such as an airplane or a bus. The traffic trouble may be various troubles such as a cancellation due to snowfall or a delay due to traffic jam.

  In addition, in FIG. 1, the case where the service provider is a store will be described as an example. However, the service provider is not limited to a store, and may be a service provider of various forms. It may be a business having a store, a service business without a store, a mobile store, or the like. For example, the service provider may be in a movable form such as a taxi, mobile sales, or a stand. As described above, the service provider may take any form as long as it can provide a service in a predetermined area.

  In the example of FIG. 1, the information processing apparatus 100 displays the corresponding action when the level of disturbance related to the movement of the user (hereinafter, also referred to as “disturbance level”) is equal to or higher than the level set as the condition of each corresponding action. Do. Further, in the example of FIG. 1, in order to simplify the description, a case where the area B identified by the area ID “AR12” is set as the target area as illustrated in the map information MP1 will be described as an example. Note that the information processing apparatus 100 performs information processing using the other areas such as the area A identified by the area ID “AR11” and the area C identified by the area ID “AR13” in the map information MP1 as target areas. Also good. The size of the area here may be set as appropriate according to the purpose of the processing. For example, areas of various sizes such as “country”, “prefecture”, “city”, “ward”, “town” may be set as appropriate.

[Configuration of information processing system]
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 illustrating a configuration example of the information processing system according to the embodiment. As illustrated in FIG. 2, the information processing system 1 includes a terminal device 10, a store device 20, an open data providing device 50, and an information processing device 100. The terminal device 10, the store device 20, the open data providing device 50, and the information processing device 100 are connected via a predetermined network N so as to be communicable by wire or wirelessly. Note that the information processing system 1 shown in FIG. 2 includes a plurality of terminal devices 10, a plurality of store devices 20, a plurality of open data providing devices 50, and a plurality of information processing devices 100. May be.

  The terminal device 10 is an information processing device used by a 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. 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. In addition, the terminal device 10 transmits various information and the like to the information processing device 100. For example, the terminal device 10 transmits position information regarding the user to the information processing device 100. Hereinafter, the terminal device 10 may be referred to as a user. That is, hereinafter, the user can be read as the terminal device 10.

  In the following, the user identified by the user ID “U1” may be referred to as “user U1”. Thus, hereinafter, when “user U * (* is an arbitrary numerical value)” is described, this indicates that the user is a user identified by the user ID “U *”. For example, when “user U5” is described, the user is a user identified by the user ID “U5”.

  In the example illustrated in FIG. 1, the terminal device 10 will be described as the terminal devices 10-1 and 10-5 according to the user who uses the terminal device 10. For example, the terminal device 10-1 is the terminal device 10 used by the user (user U1) identified by the user ID “U1”. Further, for example, the terminal device 10-5 is the terminal device 10 used by (user U5) identified by the user ID “U5”. Hereinafter, the terminal devices 10-1 and 10-5 are referred to as the terminal device 10 when they are not particularly distinguished.

  The store apparatus 20 is an information processing apparatus used by the manager of each store. For example, a super SPS administrator uses the store device 20 to transmit and receive information to and from the information processing device 100 and the terminal device 10. For example, the manager of the super SPS uses the store apparatus 20 to transmit information for registering the corresponding action in the information processing apparatus 100. For example, the manager of the super SPS uses the store apparatus 20 to transmit information indicating whether an advertisement is submitted or an information request is necessary to the information processing apparatus 100. The store apparatus 20 receives information from the information processing apparatus 100. For example, the store apparatus 20 receives information indicating the corresponding action from the information processing apparatus 100 when the information processing apparatus 100 determines to perform the corresponding action related to the store of the store apparatus 20. For example, the store apparatus 20 is realized by a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like.

  The open data providing device 50 is an information processing device that provides open data, which is so-called widely open data, to the information processing device 100. For example, the open data providing device 50 may be an information processing device that is managed by each local government and provides data held by the local government to the outside as open data. Further, for example, the open data providing device 50 may be various information processing devices such as a server managed by the Japan Meteorological Agency. The open data providing device 50 is not limited to the above as long as it is data (information) that is permitted to be used, and is open data related to traffic such as road information, open data related to weather such as weather and temperature, geospatial information, and disaster prevention.・ Various open data such as disaster mitigation information, procurement information, and statistical information may be provided. For example, the open data providing apparatus 50 may provide information (data) related to troubles such as delays or suspension of public transportation such as railways (trains), buses and airplanes.

  The information processing apparatus 100 is an information processing apparatus that determines to perform corresponding processing related to the service provided to the user when the disturbance related to the movement of the user due to the event satisfies a predetermined condition based on the occurrence information. The information processing apparatus 100 performs corresponding processing related to the service provided to the user when the interference regarding the movement of the user due to the event satisfies a predetermined condition. The information processing apparatus 100 performs corresponding processing related to a service provided to a user by a service provider other than the service provider located in the area. The information processing apparatus 100 determines to perform the corresponding process of distributing content other than the advertisement to the terminal device 10 used by the user. The information processing apparatus 100 performs processing related to the corresponding processing at the time of service provision to the user at the service provider located in the area. The information processing apparatus 100 performs corresponding processing related to the service provided to the user according to the level regarding interference.

  From here, the flow of information processing will be described with reference to FIG. First, the information processing apparatus 100 acquires information (occurrence information) related to the occurrence of an event from the open data providing apparatus 50 (step S11). For example, the information processing apparatus 100 acquires occurrence information from the open data providing apparatus 50 at the date and time TM11.

  In the example of FIG. 1, the information processing apparatus 100 acquires occurrence information about rainfall in the area in the map information MP1 from the open data providing apparatus 50. For example, the information processing apparatus 100 acquires the occurrence information INF11 for rainfall in an area in the map information MP1 from the open data providing apparatus 50 that provides weather information. For example, the occurrence information INF11 acquired by the information processing apparatus 100 from the open data providing apparatus 50 includes information indicating that it is raining on the date and time TM11 in the area A in the map information MP1. In the example of FIG. 1, the occurrence information INF11 includes information indicating that a heavy rain (hereinafter simply “heavy rain”) that is a heavy rain on the date and time TM11 is occurring in the area A. For example, the occurrence information INF11 includes information indicating the amount of heavy rain precipitation (referred to as “measured precipitation MPA”) at the date and time TM11 in the area A.

  Here, the map information MP1 shown in FIG. 1 will be briefly described. The map information MP1 shown in FIG. 1 is a diagram schematically showing changes in the position of the rain cloud NB11 that causes heavy rain in the area in the map information MP1. For example, the map information MP1 indicates how the rain cloud NB11 changes in the map information MP1. Note that the rain cloud NB11 shown in FIG. 1 conceptually indicates that heavy rain is caused in a certain area, and the rain cloud NB11 shown in each of the areas A to C may be individual, and any change It may be a rain cloud. In the example of FIG. 1, the rain cloud NB11 is located in the area A and causes heavy rain in the area A at the date and time TM11.

  Further, for example, the occurrence information INF11 acquired by the information processing apparatus 100 from the open data providing apparatus 50 is indicated by the movement prediction MV11 on the date and time TM12 after n minutes from the date and time TM11 (n is a predetermined number of 1 or more). Thus, information indicating that the rain cloud NB11 is expected to cause heavy rain in the area B is included. Further, for example, the occurrence information INF11 acquired by the information processing apparatus 100 from the open data providing apparatus 50 is indicated by the movement prediction MV12 on the date and time TM13 m minutes after the date and time TM12 (m is a predetermined number of 1 or more). Thus, information indicating that the rain cloud NB11 is expected to cause heavy rain in the area C is included. That is, in the occurrence information INF11 acquired by the information processing apparatus 100 from the open data providing apparatus 50, it is expected that the rain cloud NB11 moves from the area B to the area C and the heavy rain in the area B stops at the date and time TM13. Information is included.

  In the example of FIG. 1, the information processing apparatus 100 specifies the interference content in the area B based on the occurrence information INF11 acquired from the open data providing apparatus 50 as described above (step S12). In the example of FIG. 1, the information processing apparatus 100 specifies the interference content in the area B as shown in the interference information list INFL11. For example, the information processing apparatus 100 specifies that the occurrence of the disturbance factor “heavy rain RN11” is predicted in the target area “area B” based on the occurrence information INF11.

  Further, for example, the information processing apparatus 100 specifies that heavy rain due to the rain cloud NB11 generated in the area B starts at the date and time TM12 based on the occurrence information INF11 and the period is predicted to be the period INT12. For example, the information processing apparatus 100 predicts the precipitation amount of the heavy rain RN11 occurring in the area B based on the occurrence information INF11. For example, the information processing apparatus 100 predicts the precipitation amount of the heavy rain RN11 occurring in the area B (referred to as “predicted precipitation amount PPA”) based on the heavy rain at the date and time TM11 in the area A. For example, the information processing apparatus 100 predicts the predicted precipitation amount PPA of the heavy rain RN11 occurring in the area B based on the measured heavy rainfall MPA of the heavy rain in the area A. For example, the information processing apparatus 100 predicts the value of the measured rainfall MPA of heavy rain in area A as the value of the predicted rainfall PPA of heavy rain RN11 occurring in area B.

  Then, the information processing apparatus 100 predicts a traffic trouble based on the predicted precipitation amount PPA of the heavy rain RN11 occurring in the area B. For example, the information processing apparatus 100 predicts how much the railway is delayed in the area B in the case of the predicted precipitation amount PPA of the heavy rain RN11 occurring in the area B. For example, the information processing apparatus 100 uses the information on the predicted precipitation amount PPA to specify the delay time of the railroad when the precipitation amount in the area B is the same as the predicted precipitation amount PPA in the past. For example, the information processing apparatus 100 may store history information in which the delay time of the railway in the area B and the precipitation amount at that time are associated with each other in the storage unit 120. In this case, the information processing apparatus 100 specifies the delay time associated with the precipitation corresponding to the predicted precipitation PPA as the delay time due to the heavy rain RN11 among the history information in the area B stored in the storage unit 120. May be.

  In addition, the information processing apparatus 100 may specify the occurrence information of the 20-minute delay of the railroad in the area B based on the occurrence information INF11 acquired from the open data providing apparatus 50 as described above. You may acquire from external apparatuses, such as the open data provision apparatus 50. FIG. That is, the information processing apparatus 100 may acquire information for specifying the delay time due to the heavy rain RN11 from the external apparatus. For example, the information processing apparatus 100 may acquire the occurrence information of the 20-minute delay of the railway in the area B from the external apparatus. For example, the information processing apparatus 100 may acquire the occurrence information indicating that a 20-minute delay occurs in the railway in the area B from the open data providing apparatus 50. For example, the occurrence information INF11 may include occurrence information indicating that the railway in the area B is delayed by 20 minutes.

  As described above, in the example of FIG. 1, the information processing apparatus 100 specifies that a traffic trouble occurs in the area B due to the heavy rain RN11 occurring in the area B as shown in the interference information list INFL11. Specifically, the information processing apparatus 100 specifies that the railway is delayed by 20 minutes in the area B due to the heavy rain RN11 generated in the area B during the period INT12. For example, the information processing apparatus 100 specifies that the railway is delayed by 20 minutes in the area B due to the heavy rain RN11 generated in the area B starting from the date and time TM12.

  Then, the information processing apparatus 100 identifies the type of disturbance (step S13). For example, the information processing apparatus 100 specifies the type of disturbance that occurs in the area B based on the information in the disturbance information list INFL11. For example, the information processing apparatus 100 specifies the type of disturbance that occurs in the area B based on the contents in the disturbance information list INFL11. For example, the information processing apparatus 100 specifies that the type of disturbance occurring in the area B is the type related to traffic because the content in the disturbance information list INFL11 is a traffic trouble. For example, the information processing apparatus 100 identifies the type of disturbance that occurs in the area B based on the type of disturbance stored in the level information storage unit 125.

  Here, “interference type ID” shown in the level information storage unit 125 in FIG. 1 indicates identification information for identifying the type of interference. The “type” shown in the level information storage unit 125 in FIG. 1 indicates the specific content of the disturbance. For example, in the example of FIG. 1, the disturbance type identified by the disturbance type ID “OB11” is the type “earthquake”. Further, for example, in the example of FIG. 1, the disturbance type identified by the disturbance type ID “OB12” indicates the type “traffic”. Further, for example, in the example of FIG. 1, the interference type identified by the interference type ID “OB13” indicates the type “terrorism”.

  In the example of FIG. 1, the information processing apparatus 100 identifies the type of disturbance as the disturbance type “traffic” identified by the disturbance type ID “OB12” because the content of the disturbance occurring in the area B is a traffic trouble. .

  Then, the information processing apparatus 100 specifies the level of interference (step S14). For example, the information processing apparatus 100 specifies the level of disturbance occurring in the area B based on the contents in the disturbance information list INFL11. In the example of FIG. 1, the information processing apparatus 100 specifies the level of disturbance occurring in the area B based on the information regarding the level associated with each disturbance stored in the level information storage unit 125.

  “Level LV1” shown in the level information storage unit 125 in FIG. 1 indicates a condition under which the interference level is determined to be the interference level LV1 in the corresponding interference type. Further, “level LV2” shown in the level information storage unit 125 in FIG. 1 indicates a condition under which the interference level is determined to be the interference level LV2 in the corresponding interference type. For example, in the type “traffic”, the condition for determining the disturbance level LV1 indicates “10 minute delay”. For example, in the type “traffic”, the condition for determining the disturbance level LV1 indicates that a delay of 10 minutes or more occurs in the transportation facility. Further, for example, in the type “traffic”, the condition for determining the interference level LV2 indicates “20 minutes delay”. For example, in the type “traffic”, the condition for determining the interference level LV2 indicates that a delay of 20 minutes or more occurs in the transportation facility.

  In the example of FIG. 1, the information processing apparatus 100 specifies the interference level LV2 because the railway delay in the area B is predicted to be 20 minutes as shown in the interference information list INFL11.

  As described above, the information processing apparatus 100 may identify a railway traffic trouble caused by heavy rain as a disturbance. In this way, the information processing apparatus 100 may identify a disturbance caused by an event such as a weather phenomenon such as rain, a natural disaster such as an earthquake, or a human trouble (noisy) such as terrorism. As illustrated in FIG. 1, the information processing apparatus 100 may specify how much the train stops (delays) because it rains as a disturbance. Note that the information processing apparatus 100 may identify a phenomenon such as a meteorological phenomenon such as rain, a natural disaster such as an earthquake, or a human trouble (noisy) such as terrorism as interference. The information processing apparatus 100 may specify the level by comparing the amount of rain and the intensity of the earthquake with conditions.

  Then, the information processing apparatus 100 specifies the target user (step S15). For example, the information processing apparatus 100 specifies a user located in the area B that is the target area. In the example of FIG. 1, the information processing apparatus 100 specifies a user located in the area B based on the position information of each user stored in the user information storage unit 121.

  The “latest position” shown in the user information storage unit 121 in FIG. 1 indicates the position information acquired last for the corresponding user.

  For example, in the example of FIG. 1, the user U1 indicates that the latest position is the position AR12-1 in the area B. For example, in the example of FIG. 1, the user U2 indicates that the latest position is the position AR11-1 in the area A. For example, in the example of FIG. 1, for the user U3, the latest position is the position AR13-1 in the area C. For example, in the example of FIG. 1, the user U4 indicates that the latest position is the position AR14-1 in the area D. For example, in the example of FIG. 1, for the user U5, the latest position is the position AR12-2 in the area B.

  In the example of FIG. 1, the information processing apparatus 100 specifies (extracts) the user U1, the user U5, and the like who are users located in the area B. For example, the information processing apparatus 100 does not extract the users U2 to U4 and the like located in areas other than the area B.

  And the information processing apparatus 100 determines the corresponding action with respect to the user located in the area B (step S16). In the example of FIG. 1, the information processing apparatus 100 determines to perform a corresponding action that corresponds to the area B in the corresponding action information storage unit 123 (corresponding process) and satisfies the specified condition level.

  Here, “area” shown in the corresponding action information storage unit 123 in FIG. 1 indicates an area that is a target of the corresponding action. “Target” indicates identification information for identifying a business operator or the like as a target of the corresponding action. “Target” indicates identification information for identifying the service provider that is the target of the corresponding action. “Content” indicates the content of the corresponding action. “Condition (level)” indicates a condition used to determine whether or not to perform a corresponding action.

  For example, in the example illustrated in FIG. 1, the corresponding action with the area B as the target area is identified by the corresponding action (corresponding action AT11) identified by the corresponding action ID “AT11” or the corresponding action ID “AT12”. It indicates that the corresponding action (corresponding action AT12) is included.

  The target of the corresponding action AT11 is a store identified by the store ID “SP11”, that is, the cafe CFS. Further, the content of the corresponding action AT11 indicates that the advertisement is distributed and the advertisement of the cafe CFS is distributed when the level is the disturbance level LV2 or higher.

  The target of the corresponding action AT12 is a store identified by the store ID “SP12”, that is, a super SPS. Further, the content of the corresponding action AT12 is a coupon (receipt), and indicates that a process of adding a coupon to the receipt of the super SPS is performed when the level is the interference level LV1 or higher. For example, the content of the corresponding action AT12 may be handing over a coupon (printed material) such as a discount together with a receipt at the store directly to the user. For example, the content of the corresponding action AT12 may be handing a receipt printed with a coupon such as a discount to a user at a store. In this case, for example, the content of the corresponding action AT12 may include printing a coupon such as a discount on a receipt handed to the user at the store.

  As described above, in the example of FIG. 1, the response action AT11 has a level condition equal to or higher than the disturbance level LV2, and the rain disturbance level LV2 in the area B satisfies the condition. Therefore, the information processing apparatus 100 determines to perform the corresponding action AT11. In the example of FIG. 1, the response action AT12 has a level condition equal to or higher than the disturbance level LV1, and the rain disturbance level LV2 in the area B satisfies the condition. Therefore, the information processing apparatus 100 determines to perform the corresponding action AT12. That is, the information processing apparatus 100 determines to perform the corresponding action AT11 and the corresponding action AT12.

  Then, the information processing apparatus 100 performs processing corresponding to the corresponding action AT11. For example, the information processing apparatus 100 distributes an advertisement for the store SP11 (cafe CFS). In the example of FIG. 1, the information processing apparatus 100 distributes a cafe CFS advertisement to users located in the area B. The information processing apparatus 100 delivers the cafe CFS advertisement to the terminal device 10-1 of the user U1 (step S17-1). Further, the information processing apparatus 100 delivers the cafe CFS advertisement to the terminal device 10-5 of the user U5 (step S17-1). The advertisement distribution to the terminal device 10 may be performed by a device other than the information processing device 100, but details will be described later.

  Then, the information processing apparatus 100 performs processing corresponding to the corresponding action AT12. The information processing apparatus 100 specifies that the target store of the corresponding action AT12 is the store SP12 (super SPS) (step S18). In the example of FIG. 1, the information processing apparatus 100 identifies the target store of the corresponding action AT 12 as a super SPS based on the store information stored in the store information storage unit 122. The information processing apparatus 100 requests the store SP12 to add a coupon to the receipt because the corresponding action AT12 adds the coupon to the receipt handed to the user at the store SP12. The information processing apparatus 100 provides information requesting the super SPS to add a coupon to the receipt (step S19). For example, the information processing apparatus 100 transmits information indicating the corresponding action AT12 to the store apparatus 20 of the super SPS. As described above, the information processing apparatus 100 requests the super SPS to perform the corresponding action AT12.

  The super SPS requested to perform the corresponding action AT12 from the information processing apparatus 100 prepares a coupon (step S20). For example, a super SPS administrator or the like performs an action (processing) of adding a coupon to a receipt after receiving information from the store apparatus 20 of the super SPS. Then, the manager of the super SPS gives the receipt on which the coupon is printed to the user who has visited the super SPS.

  In this way, the information processing apparatus 100 specifies how much of the user's movement is disturbed in the target area regarding the traffic trouble as an event that disturbs the movement of the user. Then, when the disturbance of the user's movement due to a traffic trouble in the target area is equal to or higher than a predetermined level, the information processing apparatus 100 performs an appropriate response action for the user located in the target area. For example, the information processing apparatus 100 determines an advertisement to be delivered to a user located in the target area for an advertisement whose target interference level is equal to or higher than the specified interference level in the target area in the corresponding action group. . Thereby, the information processing apparatus 100 can enable an appropriate response according to the disturbance of the user's movement.

(1-1. Execution subject)
In the above example, the case where the information processing apparatus 100 transmits information to the user terminal device 10 based on the corresponding process determined by the information processing apparatus 100 has been described. May do. For example, the corresponding process determined by the information processing apparatus 100 may be performed by the information processing apparatus 100 itself, or may be performed by another apparatus (the store apparatus 20 or the like). Note that when the response process is performed by a device other than the information processing apparatus 100, the information processing apparatus 100 may transmit information necessary for performing the response process. For example, information transmission to the user terminal device 10 may be performed by another device (the store device 20 or the like). For example, the information transmission to the user terminal device 10 may be performed by the store device 20 to which the information related to the corresponding process is transmitted from the information processing device 100. For example, the advertisement distribution to the user terminal device 10 may be performed by the advertisement distribution apparatus to which information regarding the corresponding process is transmitted from the information processing apparatus 100. For example, the advertisement distribution to the user terminal device 10 may be performed by an advertisement distribution apparatus to which an advertisement distributed from the information processing apparatus 100 and information indicating a distribution destination are transmitted. As described above, the corresponding process selected by the information processing apparatus 100 may be performed by the information processing apparatus 100 itself, or may be performed by an apparatus other than the information processing apparatus 100.

[1-2. Example of event)
In the above-described example, the case where the event is rain is shown, but the information processing apparatus 100 may target any event as long as it prevents the user from moving. The event is not limited to a traffic trouble, and may be various events such as an earthquake, an eruption, a tsunami, a strike, a war, terrorism, and weather. As described above, the event is not limited to a traffic trouble, and may be various events such as a natural disaster or a human trouble (disturbance). For example, when the information processing apparatus 100 targets an event “earthquake”, as shown in the level information storage unit 125 (see FIG. 8), the information processing apparatus 100 identifies the disturbance level based on the seismic intensity of the earthquake, and identifies the identified disturbance. When the level satisfies a predetermined condition, the service provided to the user may be determined. In addition, for example, when the information processing apparatus 100 targets the event “tsunami”, the information processing apparatus 100 identifies a disturbance level based on the magnitude or height of the tsunami, and when the identified disturbance level satisfies a predetermined condition, You may decide on the service provided to you. Further, for example, when the information processing apparatus 100 targets the event “strike (strike)”, the information processing apparatus 100 specifies the interference level based on the scale or period of the strike, and the specified interference level satisfies a predetermined condition. The service provided to the user may be determined. Further, for example, when the information processing apparatus 100 targets the event “war”, the information processing device 100 specifies the interference level based on the range or period of the battle, and when the specified interference level satisfies a predetermined condition, The service to be provided may be determined. Further, for example, when the information processing apparatus 100 targets an event “terrorism (terrorism)”, as shown in the level information storage unit 125 (see FIG. 8), the information processing apparatus 100 may disturb If the level is specified and the specified interference level satisfies a predetermined condition, the service provided to the user may be determined.

[1-2-1. Weather information)
In the example of FIG. 1, the traffic trouble due to the influence of the rain has been described as an example of an event that hinders the user's movement. However, the information processing apparatus 100 may perform a process for a weather phenomenon that occurs in an area where the user is located. Good. For example, the information processing apparatus 100 may determine whether to perform the response process based on the disturbance level of the weather phenomenon itself that occurs in the area where the user is located. For example, when the information processing apparatus 100 determines whether to perform the response process based on the disturbance level of a weather phenomenon such as rain or snow and determines to perform the response process, the determined response process or the response process is determined. Perform processing related to. This point will be described below. Hereinafter, an example of the case where the disturbance is a meteorological phenomenon will be described using the heavy rain example shown in FIG. In addition, about the point which overlaps with description in FIG. 1, description is abbreviate | omitted suitably.

  As shown in FIG. 1, the occurrence information INF11 acquired from the open data providing device 50 by the information processing apparatus 100 includes a movement prediction at a date and time TM12 n minutes after the date and time TM11 (n is a predetermined number of 1 or more). As shown in MV11, information indicating that the rain cloud NB11 is expected to bring rain in the area B is included. Further, for example, the occurrence information INF11 acquired by the information processing apparatus 100 from the open data providing apparatus 50 is indicated by the movement prediction MV12 on the date and time TM13 m minutes after the date and time TM12 (m is a predetermined number of 1 or more). Thus, the information indicating that the rain cloud NB11 is expected to bring rain in the area C is included. That is, in the occurrence information INF11 acquired by the information processing apparatus 100 from the open data providing apparatus 50, it is expected that the rain cloud NB11 moves from the area B to the area C and the rain in the area B stops at the date and time TM13. Information is included.

  For example, the information processing apparatus 100 specifies the disturbance content in the area B based on the occurrence information INF11 acquired from the open data providing apparatus 50. For example, the information processing apparatus 100 specifies that the occurrence of the disturbance factor “rain cloud NB11” is predicted in the target area “area B” based on the occurrence information INF11. Further, for example, the information processing apparatus 100 specifies that the rain due to the rain cloud NB11 occurring in the area B starts at the date and time TM12 based on the occurrence information INF11, and that the period is predicted to be the disturbance period “30 minutes”. To do. Further, for example, the information processing apparatus 100 specifies that the precipitation amount due to the rain cloud NB11 generated in the area B is predicted to be the precipitation amount Y mm based on the occurrence information INF11. The information processing apparatus 100 determines that the condition regarding the period is satisfied when the disturbance period is equal to or longer than a predetermined threshold (for example, 20 minutes). Hereinafter, the information processing apparatus 100 determines that the condition regarding the period is satisfied because the rain hindrance period due to the rain cloud NB11 generated in the area B is “30 minutes” and is equal to or greater than the predetermined threshold “20 minutes”. Will be described as an example.

  As described above, the information processing apparatus 100 determines that the condition regarding the period is satisfied because the rain hindrance period due to the rain cloud NB11 generated in the area B is “30 minutes” and is equal to or greater than the predetermined threshold “20 minutes”. To do. Then, the information processing apparatus 100 identifies the type of disturbance. For example, the information processing apparatus 100 specifies the type of disturbance that occurs in the area B based on the disturbance factor “rain cloud NB11”. Here, it is assumed that the information processing apparatus 100 stores information corresponding to the type “weather” in the level information storage unit 125 (see FIG. 8). In the following description, the interference type ID corresponding to the type “weather” is described as “OB15”. For example, in the disturbance type (weather) identified by the disturbance type ID “OB15”, the condition for determining the disturbance level LV1 may be “precipitation amount X mm or more”. For example, in the disturbance type (meteorology) identified by the disturbance type ID “OB15”, the condition for determining the disturbance level LV2 may be “precipitation amount Y mm or more”. Here, the symbols “X” and “Y” correspond to specific numerical values and “X <Y”. For example, “X” may be “20” and “Y” may be “50”. The disturbance type identified by the disturbance type ID “OB15” may be a more specific type “rainfall” than the type “weather”.

  The information processing apparatus 100 specifies the interference level LV2 because the precipitation in the area B is predicted to be the precipitation Y mm. Then, the information processing apparatus 100 identifies the target user. For example, the information processing apparatus 100 identifies (extracts) the user U1, the user U5, and the like who are users located in the area B. For example, the information processing apparatus 100 does not extract the users U2 to U4 and the like located in areas other than the area B.

  Then, the information processing apparatus 100 determines a response process for a user located in the area B. For example, the information processing apparatus 100 determines to perform a corresponding process that is a process related to a service provided to the user. For example, the information processing apparatus 100 determines to distribute content such as a moving image according to the interference time to a user located in the area B. For example, the information processing apparatus 100 determines to perform a corresponding process of distributing an advertisement for a store located in the area B to a user located in the area B.

  Further, for example, the information processing apparatus 100 determines to perform a corresponding process that is a process related to a service provided to a user by a service provider other than the service provider located in the area. For example, the information processing apparatus 100 is a service provider (outside area provider) other than a store located in the area B, and the service provider (outside area provider) that uses the information processing apparatus 100 is in the area B. Decide to distribute the content to the users who are located. That is, the information processing apparatus 100 determines that a content distribution company that is a provider outside the area other than the store located in the area B distributes content to the user located in the area B. The out-of-area provider may be the service provider itself that uses the information processing apparatus 100 or may be another service provider. In other words, the service provider outside the area may be any service provider other than the service provider located in the area.

  For example, the information processing apparatus 100 determines to perform a corresponding process that is a process of distributing content other than an advertisement to the terminal device 10 used by the user. For example, the information processing apparatus 100 determines to perform a corresponding process of distributing content other than advertisements to the terminal device 10 used by a user located in the area B.

  For example, the information processing apparatus 100 determines to perform a corresponding process, which is a process at the time of providing a service to a user, at a service provider located in an area when a disturbance related to the movement of the user due to an event satisfies a predetermined condition. For example, when the interference level satisfies a predetermined condition, the information processing apparatus 100 determines to perform the corresponding process of adding a coupon to the receipt of the super SPS located in the area B. Note that the corresponding process of adding a coupon to the receipt of the super SPS may be performed by the information processing apparatus 100, or the store apparatus 20 of the super SPS may perform based on information from the information processing apparatus 100.

[1-3. time〕
For example, the information processing apparatus 100 may target a matrix or the like without being limited to a train delay. For example, when the disturbance such as train delay is the type “matrix”, the condition is determined using “level LV1” or “level LV2” of the type “matrix”. For example, in the type “matrix”, the condition for determining the interference level LV1 is “15 minute delay”. Further, for example, in the type “matrix”, the condition for determining the interference level LV2 indicates “30 minutes delay”. Then, the information processing apparatus 100 uses the information such as the interference levels LV1 and LV2 indicating the time during which the movement is disturbed, so that when the disturbance related to the movement of the user due to the event is longer than or equal to a predetermined period, You may decide.

  For example, the information processing apparatus 100 compares the time corresponding to the specified interference level (interference time) with a predetermined threshold value, and determines that the response processing is performed when the interference time is equal to or greater than the predetermined threshold value. Good. For example, when the threshold for content distribution is “20 minutes” and the disturbance of the matrix is the disturbance level LV1, the information processing apparatus 100 has an interference time of “15 minutes” indicating a delay corresponding to the disturbance level LV1 of the matrix. For this reason, it is determined that the disturbing time is not less than or equal to a predetermined threshold, and it is determined that the content distribution is not performed as the corresponding process. For example, when the threshold for content distribution is “20 minutes” and the disturbance of the matrix is the interference level LV2, the information processing apparatus 100 has an interference time of “30 minutes” indicating a delay corresponding to the interference level LV2 of the matrix. Therefore, it is determined that the disturbing time is less than or equal to a predetermined threshold value, and it is determined that the content distribution is performed as the corresponding process.

[1-3-1. Article size
In the content information storage unit 124 in FIG. 7, the text information contents CT11 to CT14 (articles AA, AB, AC, and AD) are illustrated with an average reading time of 1 minute per 500 characters. The apparatus 100 may change the complete reading time according to the user's attribute.

  For example, the information processing apparatus 100 may change the complete reading time according to the age of the user. For example, the information processing apparatus 100 may make the complete reading time of elderly users (for example, users in their 60s or more) longer than users of other ages for content with the same character information. For example, the information processing apparatus 100 may set an average reading time for elderly users to 1 minute per 750 characters, and an average reading time for users of other ages to 1 minute per 500 characters.

  Further, for example, the information processing apparatus 100 may change the complete reading time of the text information contents CT11 to CT14 according to the speed of reading each user's text. For example, the information processing apparatus 100 acquires, from the terminal apparatus 10, information related to the time from when content is displayed on the terminal apparatus 10 until the display transitions, and based on the acquired information regarding the time and the number of characters of the content, The reading speed may be estimated.

[1-4. (Distributed content)
Further, when content distribution is performed as the corresponding process, the information processing apparatus 100 may provide the user with content corresponding to the time corresponding to the specified interference level (interference time). For example, the information processing apparatus 100 may distribute content corresponding to the interference time to the user terminal device 10. For example, the information processing apparatus 100 may transmit moving image content whose time is shorter than the interference time to the user terminal device 10. This point will be described with reference to FIG. FIG. 10 is a diagram illustrating an example of content determination according to the embodiment. The description of the same points as in FIG. 1 will be omitted as appropriate.

  In the example of FIG. 10, it is assumed that area C is the target area. In the example of FIG. 10, it is assumed that the information processing apparatus 100 specifies that the disturbance in the area C is a traffic trouble and a delay of 20 minutes, as shown in the level information storage unit 125. That is, the information processing apparatus 100 specifies that the interference level in the area C is the level LV2, as indicated in the level information storage unit 125.

  The information processing apparatus 100 determines the corresponding action (step S31). For example, the information processing apparatus 100 determines that the disturbance level LV2 in the area C is equal to or higher than the condition “level LV1” of the corresponding action AT21 corresponding to the area C as shown in the corresponding action information storage unit 123. Therefore, in the example of FIG. 10, the information processing apparatus 100 determines to perform the corresponding action AT <b> 21 as illustrated in the corresponding action information storage unit 123.

  Then, the information processing apparatus 100 determines the content because the corresponding action AT21 is content distribution (step S32). For example, the information processing apparatus 100 may determine the content to be distributed to the user terminal device 10 based on the user's interference time and the user's interest. The information processing apparatus 100 determines the distribution content (distribution content) from the content stored in the content information storage unit 124 in FIG. Further, the information processing apparatus 100 determines content based on the user's interest stored in the user information storage unit 121 (see FIG. 4). In the example of FIG. 10, the information processing apparatus 100 determines content to be distributed to the user U3 based on the interest of the user U3 located in the area C.

  For example, the information processing apparatus 100 determines content to be distributed to the user based on a comparison between the user's interference time and the time of each content. For example, the information processing apparatus 100 compares the user's interference time with the content time, and determines the content to be delivered as content that is equal to or shorter than the user's interference time and closest to the user's interference time.

  For example, the information processing apparatus 100 has a content of which the category is “sports” and the size is close to “20 minutes” because the disturbance time of the user U3 is “20 minutes” and the interest of the user U3 is “sports”. Is determined as distribution content. For example, the information processing apparatus 100 determines content that has a category of “sports”, a size of “20 minutes” or less, and close to “20 minutes” as distribution content. In the example of FIG. 10, the information processing apparatus 100 determines content CT <b> 1 (moving image MA) that is a sports-related video and has a size of 15 minutes among the content stored in the content information storage unit 124 as distribution content. .

  In addition, the information processing apparatus 100 distributes the determined distribution content to the terminal device 10 used by the user. For example, the information processing apparatus 100 distributes the content CT1 to the terminal device 10 used by the user U3. Further, the information processing apparatus 100 may request an external apparatus (content distribution apparatus) to distribute the determined distribution content to the terminal apparatus 10 used by the user.

  As described above, the information processing apparatus 100 may determine the service level according to the level (delay time) related to interference. For example, the delay time becomes longer in the order of the first level, the second level, and the third level. For example, when the interference level due to traffic delay in the area D is the first level (10 minute delay), the information processing apparatus 100 may determine a moving image having a reproduction time of 10 minutes or less as the distribution content. For example, when the interference level due to the traffic delay in the area D is the second level (20-minute delay), the information processing apparatus 100 may determine a moving image having a playback time of 20 minutes or less as the distribution content. For example, when the interference level due to traffic delay in the area D is the third level (30 minute delay), the information processing apparatus 100 may determine a moving image with a playback time of 30 minutes or less as distribution content. For example, the information processing apparatus 100 may determine only the degree (level) of one corresponding action according to the interference level (delay time or the like). For example, the information processing apparatus 100 may determine only the degree (level) according to the interference level (delay time or the like) without changing the content of one response action. That is, the information processing apparatus 100 may change only the degree (level) according to the interference level without changing the content of one response action.

[1-5. level〕
Further, the information processing apparatus 100 may vary the level according to the user. For example, the information processing apparatus 100 may change the level that is a condition for interference according to the user attribute. For example, when the user group belonging to a man in his 30s moves without worrying about some rain, the information processing apparatus 100 sets the level higher than other user attributes regarding the weather (rainfall) of the man in his 30s, Condition determination may be performed. Further, for example, when the information processing apparatus 100 moves a user group located in an area with a lot of strikes (country X) by other moving means without worrying about the strike, For the user, the condition determination may be performed with a level higher than that of a user in another area (a country other than country X).

[1-5-1. Service fluctuations depending on the level)
Further, the information processing apparatus 100 may determine the service level according to the level related to interference. For example, when the disturbance level due to rainfall in the area D is the first level, the information processing apparatus 100 may determine that the taxi price discount is 10%. For example, the information processing apparatus 100 may determine that the taxi discount is 20% when the interference level due to rainfall in the area D is the second level. For example, when the interference level due to rainfall in the area D is the third level, the information processing apparatus 100 may determine that the tax discount is 30%. For example, the information processing apparatus 100 determines the level related to the interference using information of a plurality of levels whose delay time becomes longer in the order of the first level, the second level, and the third level, and according to the determined level Determine the level of service. For example, the information processing apparatus 100 may determine only the degree (level) of one corresponding action according to the interference level. For example, the information processing apparatus 100 may determine only the degree (level) according to the interference level without changing the content of one corresponding action. That is, the information processing apparatus 100 may change only the degree (level) according to the interference level without changing the content of one response action.

[2. Configuration of information processing apparatus]
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 illustrating a configuration example of the information processing apparatus 100 according to the embodiment. As illustrated 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 apparatus 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the information processing apparatus 100 and a display unit (for example, a liquid crystal display) for displaying various types of information. You may have.

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

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 3, the storage unit 120 according to the embodiment includes a user information storage unit 121, a store information storage unit 122, a corresponding behavior information storage unit 123, a content information storage unit 124, and a level information storage unit 125. And have.

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various types of information regarding the user. For example, the user information storage unit 121 stores various types of information regarding user attributes. FIG. 4 is a diagram illustrating an example of a user information storage unit according to the embodiment. The user information storage unit 121 illustrated in FIG. 4 includes items such as “user ID”, “age”, “gender”, “interest”, and “position information”. The “position information” includes an item such as “latest position”.

  “User ID” indicates identification information for identifying a user. “Age” indicates the age of the user identified by the user ID. The “age” may be a specific age of the user identified by the user ID, such as 35 years old. “Gender” indicates the gender of the user identified by the user ID.

  “Interest” indicates the interest of the user identified by the user ID. That is, “interest” indicates an object that is highly interested by the user identified by the user ID. In the example illustrated in FIG. 4, one “interest” is illustrated for each user, but may be plural.

  The “latest position” in the “position information” indicates the position information acquired last for the corresponding user. Note that “latest position” shows information indicating an abstract code and range such as “AR12-1 (area B)”, but information such as latitude and longitude, “Y city, Z town, X prefecture”, etc. It may be information indicating a simple address. The “position information” may include an item “acquisition date”. For example, “acquisition date and time” indicates the date and time when the position information was last acquired.

  For example, in the example of FIG. 4, the age of the user (user U1) identified by the user ID “U1” is “20s”, and the gender is “male”. Also, for example, the user U1 indicates that he is interested in the economy. For example, for the user U1, the position information indicating that the user U1 is located at the position AR12-1 in the area B is the position information acquired last, that is, the latest position information.

  The user information storage unit 121 is not limited to the above, and may store various types of information according to the purpose. For example, the user information storage unit 121 may store various information such as demographic attribute information and psychographic attribute information. For example, the user information storage unit 121 may store information such as name, family structure, and income.

(Store information storage unit 122)
Store information storage part 122 concerning an embodiment memorizes various information about a store (store). FIG. 5 is a diagram illustrating an example of the store information storage unit according to the embodiment. For example, the store information storage unit 122 stores information related to various stores. The store information storage unit 122 illustrated in FIG. 5 includes items such as “store ID”, “name”, “category”, “location”, and “information provision”.

  “Store ID” indicates identification information for identifying a store. “Name” indicates a specific name of the store. For example, the “name” may be a combination of a shop name such as “XX Cafe X Town” and information indicating the location of the store. “Category” indicates the category to which the store belongs. “Location” indicates a location where the store is located. Note that “location” is information indicating an abstract code or range such as “area B”, but is information indicating latitude and longitude or information indicating an address such as “Y city Z town” in “X prefecture”. There may be. “Information provision” indicates whether the store requests information provision from the information processing apparatus 100.

  For example, in the example of FIG. 5, the store identified by the store ID “SP11” is the name “cafe CFS” and indicates that the store belongs to the category “cafe”. Further, for example, in the example of FIG. 5, the cafe CFS is located in the area B and indicates that information provision is “-”, that is, information provision is not requested. Further, for example, in the example of FIG. 5, the store identified by the store ID “SP12” is the name “Super SPS” and indicates that the store belongs to the category “Grocery”. For example, the super SPS (store SP12) is a supermarket that sells various products such as food and daily necessities. Further, for example, in the example of FIG. 5, the super SPS is located in the area B and indicates that information provision is “necessary”, that is, information provision is requested.

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

(Corresponding behavior information storage unit 123)
The corresponding action information storage unit 123 according to the embodiment stores various types of information regarding the corresponding action (corresponding process). FIG. 6 is a diagram illustrating an example of the corresponding action information storage unit according to the embodiment. The correspondence action information storage unit 123 illustrated in FIG. 6 includes items such as “area”, “correspondence action ID”, “target”, “content”, and “condition (level)”.

  “Area” indicates an area that is the target of the corresponding action. “Target” indicates identification information for identifying a business operator or the like as a target of the corresponding action. “Target” indicates identification information for identifying the service provider that is the target of the corresponding action. For example, “target” indicates identification information for identifying a store that is the target of the corresponding action. For example, identification information for identifying an advertiser may be stored in the “target”. In addition, the advertiser may request an agency for a submission work or the like. Therefore, the notation “advertiser” is a concept including not only an advertiser such as a store but also an agency. “Content” indicates the content of the corresponding action. “Condition (level)” indicates a condition used to determine whether or not to perform a corresponding action.

  For example, in the example shown in FIG. 6, the corresponding action with the area B as the target area is identified by the corresponding action (corresponding action AT11) identified by the corresponding action ID “AT11” or the corresponding action ID “AT12”. It indicates that the corresponding action (corresponding action AT12) is included.

  The target of the corresponding action AT11 is a store identified by the store ID “SP11”, that is, the cafe CFS. Further, the content of the corresponding action AT11 indicates that the advertisement is distributed and the advertisement of the cafe CFS is distributed when the level is the disturbance level LV2 or higher.

  The target of the corresponding action AT12 is a store identified by the store ID “SP12”, that is, a super SPS. Further, the content of the corresponding action AT12 is a coupon (receipt), and indicates that a process of adding a coupon to the receipt of the super SPS is performed when the level is the interference level LV1 or higher.

  Note that the corresponding behavior information storage unit 123 is not limited to the above, and may store various information according to the purpose. For example, when the corresponding action is advertisement delivery, the corresponding action information storage unit 123 stores the advertisement content submitted by the advertiser in association with the corresponding action ID. For example, the corresponding behavior information storage unit 123, when the corresponding behavior is advertisement delivery, as advertising content information, the advertising content itself such as a still image, moving image, text data, URL, or a file indicating the storage location thereof Memorize the path name. For example, the corresponding behavior information storage unit 123 may store information indicating a product name or a service name to be advertised. Note that the advertising content may be stored in the content information storage unit 124 of FIG.

  For example, the corresponding behavior information storage unit 123 may store information on bid prices. In this case, the information processing apparatus 100 may determine to perform a corresponding action with a high bid price when there are a plurality of corresponding actions that satisfy the condition in the same area. For example, if there is a first corresponding action with a bid price “100” yen satisfying a condition and a second corresponding action with a bid price “150” yen satisfying a condition in the same area, the information processing apparatus 100 has a bid price of You may decide to perform a high 2nd corresponding | compatible action.

(Content information storage unit 124)
The content information storage unit 124 according to the embodiment stores various types of information related to content. For example, the content information storage unit 124 stores various types of information related to moving images and articles. FIG. 7 is a diagram illustrating an example of a content information storage unit according to the embodiment. The content information storage unit 124 illustrated in FIG. 7 includes items such as “content ID”, “content”, “category”, and “size”.

  “Content ID” indicates identification information for identifying the content. “Content” indicates an article that is content acquired from a provider such as a so-called content provider. FIG. 7 shows an example in which conceptual information such as “moving picture MA” and “article AA” is stored in “content”, but in practice, moving image information, character information, a combination of character information and an image, Alternatively, a file path name indicating these storage locations is stored. “Category” indicates classification information based on the content.

  For example, in the example of FIG. 7, the moving image MA (content CT1) identified by the content ID “CT1” is classified into the category “sports”. In the example of FIG. 7, the content CT1 indicates that the size is “15 minutes”, that is, the reproduction time is “15 minutes”.

  For example, in the example of FIG. 7, the article AA (content CT11) identified by the content ID “CT11” is classified into the category “sports”. In the example of FIG. 7, the content CT11 has a size of “500 characters” and an average complete reading time of “1 minute”.

  The content information storage unit 124 is not limited to the above, and may store various types of information according to the purpose. For example, the content information storage unit 124 may store information regarding the date and time when the content was acquired and the date and time when the content was created. The content information storage unit 124 may store information regarding the evaluation value of each provider. The content information storage unit 124 may store identification information for identifying the content provider. The content information storage unit 124 may store identification information for identifying the type of content (for example, a moving image or an article).

(Level information storage unit 125)
The level information storage unit 125 according to the embodiment stores information regarding the level. For example, the level information storage unit 125 stores information related to a level used for determining whether to perform a corresponding action. FIG. 8 is a diagram illustrating an example of the level information storage unit according to the embodiment. The level information storage unit 125 illustrated in FIG. 8 includes items such as “disturbance type ID”, “type”, “level LV1”, and “level LV2”.

  “Interference type ID” indicates identification information for identifying the type of interference. “Type” indicates the specific content of the disturbance. “Level LV1” indicates a condition under which the interference level is determined to be the interference level LV1 in the corresponding interference type. “Level LV2” indicates a condition under which the interference level is determined to be the interference level LV2 in the corresponding interference type.

  For example, the example of FIG. 8 indicates that the disturbance type identified by the disturbance type ID “OB11” is the type “earthquake”. For example, in the disturbance type identified by the disturbance type ID “OB11”, the condition for determining the disturbance level LV1 is “seismic intensity SI1”. Further, for example, in the disturbance type identified by the disturbance type ID “OB11”, the condition for determining the disturbance level LV2 is “seismic intensity SI2”. Here, the symbols “SI1” and “SI2” correspond to specific numerical values, and “SI1 <SI2”. For example, “SI1” may be “3” and “SI2” may be “5”. For example, in the disturbance type “earthquake” identified by the disturbance type ID “OB11”, the condition for determining the disturbance level LV1 is the seismic intensity “4”, and the condition for determining the disturbance level LV2 is the seismic intensity “LV”. 6 ".

  For example, the example of FIG. 8 indicates that the disturbance type identified by the disturbance type ID “OB12” is the type “traffic”. For example, in the interference type identified by the interference type ID “OB12”, the condition for determining the interference level LV1 is “10 minute delay”. Further, for example, in the interference type identified by the interference type ID “OB12”, the condition for determining the interference level LV2 is “20 minutes delay”. The interference type identified by the interference type ID “OB12” shown in FIG. 8 may be a more specific type “train delay”.

  The level information storage unit 125 is not limited to the above, and may store various information according to the purpose. The interference types shown in FIG. 8 are not limited to the above, and the interference types identified by the ID “OB11” may be various types such as eruption, tsunami, strike, war, terrorism, and the like.

(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 apparatus 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 executed by using the RAM as a work area. The control unit 130 is a controller, and is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 3, the control unit 130 includes an acquisition unit 131, a determination unit 132, and a provision unit 133, and realizes or executes functions and operations of information processing described below. Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as the information processing described below is performed. Further, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 3, and may be another connection relationship.

(Acquisition part 131)
The acquisition unit 131 acquires various information. The acquisition unit 131 acquires various types of information from an external device such as the terminal device 10. In addition, the acquisition unit 131 acquires various types of information from the storage unit 120. The acquisition unit 131 acquires various types of information from the user information storage unit 121, the store information storage unit 122, the corresponding behavior information storage unit 123, the content behavior information storage unit 124, the level information storage unit 125, and the like. For example, the acquisition unit 131 may acquire various types of information from the open data providing device 50. For example, the acquisition unit 131 may acquire various types of information from various external information processing devices such as a server managed by the Japan Meteorological Agency. For example, the acquisition unit 131 may acquire various types of information from the store apparatus 20.

  The acquisition unit 131 acquires user position information and occurrence information related to an event that occurs in an area where the user is located. The acquisition unit 131 acquires user location information and occurrence information related to an earthquake, an eruption, a tsunami, a strike, a war, terrorism, or a traffic trouble among events that occur in an area where the user is located. The acquisition unit 131 acquires occurrence information related to meteorological phenomena occurring in the area.

  For example, the acquisition unit 131 acquires user position information and occurrence information related to an event that occurs in an area where the user is located. For example, the acquisition unit 131 acquires occurrence information related to a weather phenomenon that occurs in the area. For example, the acquisition unit 131 acquires occurrence information regarding changes in rain clouds in the area. For example, the acquisition unit 131 acquires the latest position information of each user.

  In the example of FIG. 1, the acquisition unit 131 acquires information (occurrence information) related to the occurrence of an event from the open data providing device 50. In the example of FIG. 1, the acquisition unit 131 acquires occurrence information from the open data providing device 50 at the date and time TM11. In the example of FIG. 1, the acquisition unit 131 acquires occurrence information about rainfall in an area in the map information MP1 from the open data providing device 50. In the example of FIG. 1, the acquisition unit 131 acquires the occurrence information INF11 for rainfall in an area in the map information MP1 from the open data providing device 50 that provides weather information.

  For example, the acquisition unit 131 acquires the occurrence information of the 20-minute delay of the railway in the area B from an external device such as the open data providing device 50. For example, the acquisition unit 131 acquires information specifying the delay time due to the heavy rain RN11 from the external device. For example, the acquisition unit 131 may acquire the occurrence information of the 20-minute delay of the railway in the area B from the external device. For example, the acquisition unit 131 acquires generation information indicating that a 20-minute delay occurs in the railway in the area B from the open data providing apparatus 50.

(Determining unit 132)
The determination unit 132 determines various information. The determination unit 132 determines various information based on the information acquired by the acquisition unit 131. The determination unit 132 determines various information based on various information stored in the storage unit 120. The determination unit 132 also stores various information stored in the user information storage unit 121, the store information storage unit 122, the corresponding behavior information storage unit 123, the content behavior information storage unit 124, the level information storage unit 125, and the like. Based on this, various information is determined.

  Based on the occurrence information, the determination unit 132 determines to perform a corresponding process, which is a process related to a service provided to the user, when the interference regarding the movement of the user due to the event satisfies a predetermined condition. The determination unit 132 is a process related to a service provided to the user by a service provider other than the service provider located in the area when the disturbance related to the movement of the user due to the event satisfies a predetermined condition based on the occurrence information. It is determined that the corresponding process will be performed. Based on the occurrence information, the determination unit 132 determines to perform a corresponding process that is a process of distributing content other than an advertisement to the terminal device used by the user when the disturbance related to the movement of the user due to the event satisfies a predetermined condition. To do.

  Based on the occurrence information, the determination unit 132 determines to perform a response process that is a process at the time of service provision to the user at the service provider located in the area when the interference regarding the movement of the user due to the event satisfies a predetermined condition. To do. Based on the occurrence information, the determination unit 132 determines to perform a response process, which is a process related to a service provided to the user, according to the level related to the disturbance when the disturbance related to the movement of the user due to the event satisfies a predetermined condition. To do. The determination unit 132 determines to perform the corresponding process when the disturbance related to the movement of the user due to the event is longer than a predetermined period. The determination unit 132 determines to perform the corresponding process when the level related to the disturbance due to the event is equal to or greater than a predetermined threshold.

  For example, based on the occurrence information, the determination unit 132 is an advertisement distribution related to a service provider located in an area when the disturbance related to the movement of the user due to an event satisfies a predetermined condition, and to the terminal device 10 used by the user It is determined that the corresponding processing related to the advertisement distribution will be performed. For example, when the disturbance related to the movement of the user due to the event satisfies a predetermined condition, the determination unit 132 determines to distribute the advertisement regarding the service provider located in the area to the terminal device 10 as the corresponding process.

  For example, when the disturbance related to the movement of the user due to the event satisfies a predetermined condition, the determination unit 132 determines to distribute the information related to the event to a store located in the area as a corresponding process. For example, the determination unit 132 determines to perform the corresponding process when the disturbance related to the movement of the user due to the event is longer than a predetermined period. For example, the determination unit 132 determines to perform the corresponding process when the level related to the disturbance due to the event is equal to or greater than a predetermined threshold. For example, the determination unit 132 determines to perform the processing related to the advertisement distribution related to the store located in the area when the disturbance related to the movement of the user due to the event satisfies a predetermined condition.

  For example, the determination unit 132 determines to perform a corresponding process when a change in rain clouds in the area satisfies a predetermined condition. For example, the determination unit 132 determines to perform the corresponding process when the period from when the rain cloud is located in the area until the rain cloud is no longer located in the area is equal to or longer than a predetermined period. For example, the determination unit 132 determines to perform the corresponding process when the occurrence probability of rain or snowfall due to rain clouds in the area is equal to or greater than a predetermined threshold.

  In the example of FIG. 1, the determination unit 132 determines the corresponding action for the user located in the area B. The determination unit 132 determines that a corresponding action corresponding to the area B in the corresponding action information storage unit 123 (corresponding process) is to be performed and that satisfies the specified condition level. The determination unit 132 determines to perform the corresponding action AT11. The information processing apparatus 100 determines to perform the corresponding action AT12. The determination unit 132 determines to perform the corresponding action AT11 and the corresponding action AT12.

  For example, when the interference period “30 minutes” is equal to or greater than a predetermined threshold (for example, 20 minutes), the determination unit 132 determines that the condition regarding the period is satisfied. For example, the determination unit 132 determines that the condition regarding the period is satisfied because the disturbance period “30 minutes” is equal to or greater than a predetermined threshold “20 minutes”.

(Providing unit 133)
The providing unit 133 provides various information to an external device such as the terminal device 10. The providing unit 133 provides various information based on the information acquired by the acquiring unit 131. The providing unit 133 provides various types of information based on various types of information stored in the storage unit 120. The providing unit 133 also stores various information stored in the user information storage unit 121, the store information storage unit 122, the corresponding behavior information storage unit 123, the content behavior information storage unit 124, the level information storage unit 125, and the like. Based on this, various information is provided. For example, the providing unit 133 may provide various types of information determined by the determining unit 132 to the external device. For example, the providing unit 133 may transmit various types of information determined by the determining unit 132 to the external device. For example, the providing unit 133 provides a service related to the corresponding action determined by the determining unit 132. For example, the providing unit 133 transmits information related to the corresponding action determined by the determining unit 132 to the external device.

  In the example of FIG. 1, the providing unit 133 performs processing corresponding to the corresponding action AT11. For example, the providing unit 133 distributes an advertisement for the store SP11 (cafe CFS). The providing unit 133 distributes the cafe CFS advertisement to the users located in the area B. The providing unit 133 distributes the advertisement for the cafe CFS to the terminal device 10-1 of the user U1. The providing unit 133 also distributes the cafe CFS advertisement to the terminal device 10-5 of the user U5.

  The providing unit 133 performs processing corresponding to the corresponding action AT12. In the example of FIG. 1, the providing unit 133 specifies that the target store for the corresponding action AT12 is the store SP12 (super SPS). Based on the store information stored in the store information storage unit 122, the providing unit 133 specifies the target store of the corresponding action AT12 as a super SPS. The providing unit 133 requests the store SP12 to add the coupon to the receipt because the corresponding action AT12 adds the coupon to the receipt handed to the user at the store SP12. The providing unit 133 provides information requesting the super SPS to add a coupon to the receipt. For example, the providing unit 133 transmits information indicating the corresponding action AT12 to the store apparatus 20 of the super SPS. The providing unit 133 requests the super SPS to perform the corresponding action AT12.

[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. FIG. 9 is a flowchart illustrating an example of information processing according to the embodiment. Specifically, FIG. 9 is a flowchart illustrating an example of information processing including processing related to advertisement distribution.

  As illustrated in FIG. 9, the information processing apparatus 100 acquires occurrence information related to an event that occurs in an area where the user is located (step S101). Then, the information processing apparatus 100 determines whether or not the disturbance related to the movement of the user due to the event satisfies a predetermined condition (step S102).

  When the information processing apparatus 100 determines that the disturbance related to the movement of the user due to the event satisfies the predetermined condition (step S102: Yes), the information processing apparatus 100 determines to perform the corresponding process that is a process related to the service provided to the user ( Step S103). Then, the information processing apparatus 100 executes a process related to the handling process (step S104).

  On the other hand, if the information processing apparatus 100 determines that the disturbance related to the movement of the user due to the event does not satisfy the predetermined condition (step S102: No), the information processing apparatus 100 ends the process without performing the processes of steps S103 and S104.

[4. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes the acquisition unit 131 and the determination unit 132. The acquisition unit 131 acquires user location information and occurrence information related to an earthquake, an eruption, a tsunami, a strike, a war, terrorism, or a traffic trouble among events that occur in an area where the user is located. Based on the occurrence information, the determination unit 132 determines to perform a corresponding process, which is a process related to a service provided to the user, when the interference regarding the movement of the user due to the event satisfies a predetermined condition.

  As described above, the information processing apparatus 100 according to the embodiment determines that the corresponding process, which is a process related to the service provided to the user, is performed when the interference regarding the movement of the user due to the event satisfies a predetermined condition. Therefore, it is possible to make an appropriate response according to the disturbance of the movement of the user.

  In the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires user position information and occurrence information related to an event that occurs in an area where the user is located. The determination unit 132 is a process related to a service provided to the user by a service provider other than the service provider located in the area when the disturbance related to the movement of the user due to the event satisfies a predetermined condition based on the occurrence information. It is determined that the corresponding process will be performed.

  As described above, the information processing apparatus 100 according to the embodiment relates to a service provided to the user by a service provider other than the service provider located in the area when the interference regarding the movement of the user due to the event satisfies a predetermined condition. By determining to perform the handling process, which is a process, it is possible to enable an appropriate handling according to the disturbance of the user's movement.

  Moreover, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines content based on the occurrence information other than the advertisement to the terminal device used by the user when the disturbance related to the movement of the user due to the event satisfies a predetermined condition. Is determined to perform the corresponding process, which is the process of distributing the message.

  As described above, the information processing apparatus 100 according to the embodiment performs a corresponding process that is a process of distributing content other than the advertisement to the terminal device used by the user when the interference regarding the movement of the user due to the event satisfies a predetermined condition. By deciding to do so, it is possible to make an appropriate response according to the disturbance of the user's movement.

  Further, in the information processing apparatus 100 according to the embodiment, the determination unit 132 provides service to the user at the service provider located in the area when the interference regarding the movement of the user due to the event satisfies a predetermined condition based on the occurrence information. It is determined that the corresponding process, which is the process at the time of provision, is performed.

  As described above, the information processing apparatus 100 according to the embodiment responds to the disturbance of the movement of the user by determining to perform the corresponding process that is the process at the time of service provision to the user at the service provider located in the area. Appropriate responses can be made possible.

  Further, in the information processing apparatus 100 according to the embodiment, the determination unit 132, based on the occurrence information, provides a service provided to the user according to the level related to the disturbance when the disturbance related to the movement of the user due to the event satisfies a predetermined condition. It is determined that the corresponding process, which is a process related to, is performed.

  As described above, the information processing apparatus 100 according to the embodiment responds to the disturbance of the movement of the user by determining to perform the corresponding process that is the process at the time of service provision to the user at the service provider located in the area. Appropriate responses can be made possible.

  In the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires occurrence information related to a weather phenomenon that occurs in an area.

  As described above, the information processing apparatus 100 according to the embodiment can make it possible to appropriately cope with the disturbance of the movement of the user by acquiring the occurrence information regarding the meteorological phenomenon that occurs in the area.

  Further, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines to perform the corresponding process when the disturbance related to the movement of the user due to the event is equal to or longer than a predetermined period.

  As described above, the information processing apparatus 100 according to the embodiment determines that the corresponding process is to be performed when the disturbance related to the movement of the user due to the event is equal to or longer than the predetermined period. It is possible to respond.

  Moreover, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines to perform the corresponding process when the level related to the disturbance due to the event is equal to or greater than a predetermined threshold.

  As described above, the information processing apparatus 100 according to the embodiment determines that the response processing is performed when the level related to the disturbance due to the event is equal to or greater than the predetermined threshold, thereby performing an appropriate response according to the disturbance of the movement of the user. Can be possible.

[5. Hardware configuration)
The information processing apparatus 100 according to the embodiment described above is realized by a computer 1000 configured as shown in FIG. 11, for example. FIG. 11 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD (Hard Disk Drive) 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and 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 unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the network N and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the network N.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, 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 it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a 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 an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

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

  As described above, some of the embodiments and modifications of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various aspects can be made based on the knowledge of those skilled in the art including the aspects described in the disclosure line of the invention. It is possible to carry out the present invention in other forms that have been modified and improved.

[6. Others]
In addition, among the processes described in the above-described embodiments and modifications, all or a part of the processes described as being automatically performed can be manually performed, or are described as being performed manually. All or part of the processing can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  In addition, the above-described embodiments and modifications can be combined as appropriate within a range that does not contradict processing contents.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Information processing system 100 Information processing apparatus 121 User information storage part 122 Store information storage part 123 Correspondence action information storage part 124 Content information storage part 125 Level information storage part 130 Control part 131 Acquisition part 132 Determination part 133 Provision part 10 Terminal apparatus 20 Store equipment 50 Open data providing equipment N Network

Claims (18)

An acquisition unit that acquires user location information and occurrence information related to an earthquake, eruption, tsunami, strike, war, terrorism, or traffic trouble among events that occur in an area where the user is located;
A determination unit that determines to perform a corresponding process that is a process related to a service provided to the user, based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition;
An information processing apparatus comprising: An acquisition unit that acquires user location information and occurrence information related to an event that occurs in an area where the user is located;
Based on the occurrence information, when interference regarding the movement of the user due to the event satisfies a predetermined condition, a process related to a service provided to the user by a service provider other than the service provider located in the area A deciding unit that decides to perform a corresponding process;
An information processing apparatus comprising: An acquisition unit that acquires user location information and occurrence information related to an event that occurs in an area where the user is located;
Based on the occurrence information, when the disturbance related to the movement of the user due to the event satisfies a predetermined condition, it is determined to perform a corresponding process that is a process of distributing content other than an advertisement to the terminal device used by the user A decision unit to
An information processing apparatus comprising: An acquisition unit that acquires user location information and occurrence information related to an event that occurs in an area where the user is located;
Based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition, a response process that is a process at the time of service provision to the user at a service provider located in the area is performed. A decision part to decide;
An information processing apparatus comprising: An acquisition unit that acquires user location information and occurrence information related to an event that occurs in an area where the user is located;
Based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition, a corresponding process that is a process related to a service provided to the user is performed according to a level related to the disturbance A decision part to decide;
An information processing apparatus comprising: The acquisition unit
The information processing apparatus according to any one of claims 2 to 5, wherein the occurrence information related to a meteorological phenomenon that occurs in the area is acquired. The determination unit is
The information processing apparatus according to any one of claims 1 to 6, wherein when the disturbance related to the movement of the user due to the event is longer than a predetermined period, the response processing is determined. The determination unit is
The information processing apparatus according to any one of claims 1 to 7, wherein when the level related to the disturbance due to the event is equal to or greater than a predetermined threshold value, it is determined to perform the handling process. An information processing method executed by a computer,
An acquisition step of acquiring user location information and occurrence information relating to an earthquake, eruption, tsunami, strike, war, terrorism, or traffic trouble among events occurring in the area where the user is located;
A determination step of determining, based on the occurrence information, that a corresponding process, which is a process related to a service provided to the user, is performed when a disturbance related to the movement of the user due to the event satisfies a predetermined condition;
An information processing method comprising: An information processing method executed by a computer,
An acquisition step of acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when interference regarding the movement of the user due to the event satisfies a predetermined condition, a process related to a service provided to the user by a service provider other than the service provider located in the area A decision step for deciding to perform a certain handling process;
An information processing method comprising: An information processing method executed by a computer,
An acquisition step of acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when the disturbance related to the movement of the user due to the event satisfies a predetermined condition, it is determined to perform a corresponding process that is a process of distributing content other than an advertisement to the terminal device used by the user A decision process to
An information processing method comprising: An information processing method executed by a computer,
An acquisition step of acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition, a response process that is a process at the time of service provision to the user at a service provider located in the area is performed. A decision process to decide;
An information processing method comprising: An information processing method executed by a computer,
An acquisition step of acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition, a corresponding process that is a process related to a service provided to the user is performed according to a level related to the disturbance A decision process to decide;
An information processing method comprising: An acquisition procedure for acquiring user location information and occurrence information related to an earthquake, eruption, tsunami, strike, war, terrorism, or traffic trouble among events occurring in the area where the user is located;
A determination procedure for determining to perform a corresponding process that is a process related to a service provided to the user, based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition;
An information processing program for causing a computer to execute. An acquisition procedure for acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when interference regarding the movement of the user due to the event satisfies a predetermined condition, a process related to a service provided to the user by a service provider other than the service provider located in the area A decision procedure for deciding to perform a certain response process;
An information processing program for causing a computer to execute. An acquisition procedure for acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when the disturbance related to the movement of the user due to the event satisfies a predetermined condition, it is determined to perform a corresponding process that is a process of distributing content other than an advertisement to the terminal device used by the user A decision procedure to
An information processing program for causing a computer to execute. An acquisition procedure for acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition, a response process that is a process at the time of service provision to the user at a service provider located in the area is performed. A decision procedure to decide;
An information processing program for causing a computer to execute. An acquisition procedure for acquiring user location information and occurrence information relating to an event occurring in an area where the user is located;
Based on the occurrence information, when a disturbance related to the movement of the user due to the event satisfies a predetermined condition, a corresponding process that is a process related to a service provided to the user is performed according to a level related to the disturbance A decision procedure to decide;
An information processing program for causing a computer to execute.

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