Information processing device, information processing method, and information processing program

Abstract

To enable suggestion of actions in accordance with annually repeating weather.SOLUTION: An information processing device disclosed herein comprises: a determination unit configured to determine whether a specific weather-affected action taken on a given date in the previous year or earlier was successful; a checking unit for checking the weather on a date corresponding to the given date in the current year; and a proposal unit for proposing a date in the current year suitable for the specific action on the basis of a result of success / failure determination of the specific action and the weather on the date corresponding to the given date in the current year.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] A technology for presenting information about weather and climate to a user has been disclosed (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-115907 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned conventional technology merely accepts a designation of the elapsed time from the current time in the weather radar and presents information about rainfall after the accepted elapsed time.

[0005] The present application has been made in view of the above, and aims to propose actions according to the weather that repeats every year. [Means for solving the problem]

[0006] The information processing device of the present application is characterized by comprising a judgment unit that judges whether a specified action that is affected by weather and that was performed on a specified date in the previous year or earlier has been successful, a confirmation unit that checks the weather on a date corresponding to the specified date in the current year, and a proposal unit that proposes a date in the current year that is suitable for the specified action based on the judgment result of whether the specified action has been successful or not and the weather on a date corresponding to the specified date in the current year. [Effects of the Invention]

[0007] According to one aspect of the embodiment, it is possible to suggest actions according to the weather that are repeated every year. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. [Figure 2] FIG. 2 is an explanatory diagram showing an overview of the evaluation of a predetermined action proposal. [Figure 3] FIG. 3 is an explanatory diagram showing an outline of suggested activities based on past registration details and the weather on the planned date. [Figure 4] FIG. 4 is a diagram showing the value provided to the user by the information processing system according to the embodiment. [Figure 5] FIG. 5 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Figure 6] FIG. 6 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Figure 7] FIG. 7 is a flowchart showing a processing procedure according to the embodiment. [Figure 8] FIG. 8 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an information processing device, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to these embodiments. Furthermore, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

[0010] [1. Overview of the information processing system] First, an overview of an information processing system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. As shown in Fig. 1, an information processing system 1 according to an embodiment includes a terminal device 10 and a server device 100. These various devices are connected to each other via a network N in a wired or wireless manner so as to be able to communicate with each other. This enables the terminal device 10 to cooperate with the server device 100. The network N is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, etc.

[0011] Terminal device 10 is an information processing device used by a user U. For example, terminal device 10 may be a smart device such as a smartphone or tablet terminal, a desktop or notebook (laptop) type PC (Personal Computer), a mobile phone such as a feature phone (Gala-ke or Gala-ho), a PDA (Personal Digital Assistant), a game console or AV device with communication functions, an information appliance or digital appliance, a car navigation system, a wearable device such as a smart watch, a head-mounted display, or smart glasses. Terminal device 10 may also be a house or building, a car, a home appliance, an electronic device, or the like that is compatible with the Internet of Things (IOT).

[0012] In this embodiment, the terminal device 10 is a smart device such as a smartphone or tablet used by a user U, and is a portable terminal device capable of communicating with any server device via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: fifth generation mobile communication system), Bluetooth (registered trademark), or wireless LAN. The terminal device 10 has a screen such as a liquid crystal display with a touch panel function, and accepts various operations on displayed data such as content, such as tapping, sliding, and scrolling, performed by the user U with a finger or a stylus. An operation performed on an area of ​​the screen where content is displayed may be considered an operation on the content. The terminal device 10 may be not only a smart device, but also an information processing device such as a desktop PC or a laptop PC.

[0013] The server device 100 is, for example, a computer such as a PC or a blade server, or a mainframe or a workstation, etc. The server device 100 may be realized by cloud computing.

[0014] In this embodiment, the server device 100 is an information processing device that works in conjunction with the terminal device 10 of each user U and provides API (Application Programming Interface) services for various applications (hereinafter referred to as apps) and various data to the terminal device 10 of each user U, and is realized by a computer, a cloud system, etc.

[0015] The server device 100 may also be an information processing device that provides some kind of online service to the terminal device 10 of each user U. For example, the server device 100 may provide the following online services: internet connection, search service, social networking service (SNS), electronic commerce (EC), electronic payment, online games, online banking, online trading, hotel and ticket reservations, video and music distribution, news, maps, route search, route guidance, line information, operation information, and weather forecast. In practice, the server device 100 may cooperate with various servers that provide the above-mentioned online services and act as an intermediary for the online services or may be responsible for processing the online services.

[0016] The server device 100 can acquire user information about the user U. For example, the server device 100 acquires, as the user information, information (attribute information) about the attributes of the user U, such as the gender, age, and residential area of ​​the user U. The server device 100 can also acquire information about the attributes of the user U, such as demographic attributes, psychographic attributes, geographic attributes, and behavioral attributes. The server device 100 may also acquire, as the user information, a segment to which the user U belongs in the marketing field or a persona (personality). The server device 100 then stores and manages the information (attribute information) about the attributes of the user U together with identification information (such as a user ID) that identifies the user U.

[0017] The server device 100 also acquires various types of history information (log data) indicating the behavior of the user U from the terminal device 10 of the user U or from various servers based on the user ID, etc. For example, the server device 100 acquires a location history, which is a history of the user U's location and date and time, from the terminal device 10. The server device 100 also acquires a search history, which is a history of search queries entered by the user U, from a search server (search engine). The server device 100 also acquires a browsing history, which is a history of content viewed by the user U, from a content server. The server device 100 also acquires a purchase history (payment history), which is a history of the user U's product purchases and payment processes, from an e-commerce server or a payment processing server. The server device 100 may also acquire a listing history and a sales history, which are a history of the user U's listings on the marketplace, from the e-commerce server or the payment processing server. The server device 100 also acquires a posting history, which is a history of the user U's posts, from a posting server or SNS server that provides a word-of-mouth posting service. The various servers and the like described above may be the server device 100 itself. That is, the server device 100 may function as the various servers and the like described above.

[0018] Furthermore, the number of devices included in the information processing system 1 shown in Fig. 1 is not limited to that shown in the figure. For example, in Fig. 1, for the sake of simplicity, only one terminal device 10 is shown, but this is merely an example and is not limiting, and two or more devices may be included.

[0019] [2. Calendar x Weather x Habitual Behavior Suggestion] In this embodiment, the server device 100 works in conjunction with the user U's terminal device 10 via the network N, learns the correspondence between time, weather (weather conditions), and actions, and when the user U launches a weather app or calendar app (which may also be a weather site or calendar site on the Web), checks whether there is a day within a specified period from that day (within two weeks, within one month, etc.) with weather and time suitable for the user U to perform a certain action (a day suitable for that action), and if there is a day with suitable weather and time, suggests performing the action on that day and registering the date on the calendar to make it an annual habit.

[0020] Note that weather is merely an example. In reality, the server device 100 may acquire not only meteorological information related to weather, but also various environmental information related to the natural environment, disasters, and the like. For example, the server device 100 may acquire information related to weather forecasts, precipitation probability, precipitation amount, snowfall, wind speed, temperature, air pressure, humidity, ultraviolet rays, pollen, PM2.5, yellow sand, heat stroke, and the like. The server device 100 may also acquire oceanographic information related to seawater temperature, wave forecasts, tides, ocean currents, and the like. The server device 100 may also acquire disaster prevention and disaster information such as warnings and alerts for lightning, typhoons, earthquakes, tsunamis, volcanic eruptions, ash fall, and other disasters.

[0021] In reality, the applications are not limited to weather and calendar applications. For example, the applications may be other applications, such as an application with portal site functions (portal site application) that has the same or similar functions as a weather application or a calendar application, or a combined application that integrates a weather application and a calendar application. Applications related to the proposed planned action, such as a map application or a car navigation application, may also be included.

[0022] The server device 100 may also implement the mechanism for making the above suggestions using AI (Artificial Intelligence) such as GPT (Generative Pre-trained Transformer). GPT is a text generation AI and a language model capable of generating sentences using natural language processing.

[0023] [2-1. Proposal for prescribed actions and schedule registration] An overview of the initial proposal for a predetermined action and schedule registration (initial proposal) will be described with reference to Fig. 1. In this embodiment, the server device 100 proposes a predetermined action and schedule registration using either a weather app or a calendar app.

[0024] For example, as shown in FIG. 1, the server device 100 cooperates with the terminal device 10 of the user U via the network N, and when the user U launches a weather app or a calendar app on the terminal device 10, it receives a notification of the app launch (step S1).

[0025] At this time, the server device 100 may detect that a weather app or a calendar app has been launched on the terminal device 10 of the user U. For example, the server device 100 may receive a signal indicating the launch of a weather app or a calendar app from the terminal device 10 of the user U. The notification of the app launch triggers subsequent processing.

[0026] Next, when the server device 100 receives a notification to start the app (when the weather app or calendar app is started), it checks the day (the day suitable for the specified action) for weather and time suitable for the specified action (for example, changing clothes) (step S2).

[0027] For example, the server device 100 checks whether there is a day with weather and timing suitable for a predetermined action (a day suitable for a predetermined action) within a predetermined period from the day the weather app or calendar app is launched. Note that a day with weather and timing suitable for a predetermined action (a day suitable for a predetermined action) means a day with weather suitable for the predetermined action at a time suitable for the predetermined action. For example, a day with weather and timing suitable for changing clothes refers to a day with weather suitable for changing clothes at the time of changing clothes. Note that days are merely an example. In reality, it may also be a week.

[0028] The server device 100 may be configured to check, in a weather app, whether there is a day within the next week that has weather and time suitable for a predetermined action (a day suitable for the predetermined action).Furthermore, when a plan for a predetermined action is registered by the user U in a calendar app, the server device 100 may be configured to check whether there is a day other than the scheduled date that has weather and time suitable for the predetermined action (a day suitable for the predetermined action).

[0029] In this embodiment, changing clothes is assumed as an example of the predetermined behavior. However, in reality, the predetermined behavior is not limited to changing clothes. In reality, the days suitable for the predetermined behavior may be confirmed as days suitable for observing plants and animals or natural phenomena, such as cherry blossom viewing or an outing to a specific location (mountain, sea, river, tourist farm, etc.), or days corresponding to seasonal behaviors, such as starting to take anti-pollen medicine, switching cosmetics and bedding from summer to winter, using sunscreen, changing tableware, or changing car tires.

[0030] For example, the server device 100 checks whether there is a day with weather and timing suitable for changing clothes within a predetermined period from the day the weather app or calendar app is launched. The weather and timing suitable for changing clothes may be the weather and timing when people generally change clothes, or the weather and timing when a majority of users with the same attributes as user U changed clothes in the past (before the previous year). The weather and timing when a majority of users with the same attributes as user U changed clothes in the past may be estimated using techniques such as big data analysis or machine learning. In other words, the initial proposal does not require user U's past registration information.

[0031] In this case, if there is no day with weather and timing suitable for the predetermined action, the server device 100 does not perform any processing different from normal and continues to display the normal weather app or calendar app. In other words, if there is no day with weather and timing suitable for changing clothes, the server device 100 does not perform subsequent processing. Alternatively, the server device 100 may notify the user U's terminal device 10 (e.g., by push notification) or display a message such as "There is no suitable day" (e.g., there is no day with weather suitable for changing clothes this year) on the weather app or calendar app. However, in reality, even if there is no day with weather suitable for changing clothes, if the suitable time for changing clothes has passed, the server device 100 may select an arbitrary day (e.g., a day with relatively better weather) among the days suitable for changing clothes as a suitable day for changing clothes. The selection criteria for the arbitrary day may be determined in advance, or a trained AI may be used to select the day.

[0032] Next, if there is a day with weather and time suitable for the specified action, the server device 100 suggests to the user U's terminal device 10 via the network N that the specified action be performed on a day with weather and time suitable for the specified action, and that the user U register that day as a day to perform the specified action every year (habitual action day) (step S3).

[0033] For example, the server device 100 may display a message or pop-up on the screen of a weather app or a calendar app that indicates the day with the weather and time suitable for changing clothes, and suggests changing clothes on that day and registering that day as a day to change clothes every year.

[0034] Furthermore, the server device 100 may periodically or seasonally check suitable days for a predetermined action (such as changing clothes) without the user U having to launch an app such as a weather app or a calendar app, and if a suitable day for the predetermined action is found, may automatically suggest to the terminal device 10, using a notification function (such as a push notification function) from the server device 100 to the terminal device 10, that the user U perform the predetermined action on the suitable day and register that day as a day to perform the predetermined action every year. Alternatively, the server device 100 may automatically launch a weather app or a calendar app to post these suggestions.

[0035] For example, around June, the server device 100 may make suggestions for changing clothes and doing laundry, such as, "Since the temperature will continue to be above ○ degrees (it is unlikely that the minimum temperature will drop below ○ degrees), why not put away your winter clothes?" or "It will be sunny all day on ○th of ○ month, making it a good day for doing laundry."

[0036] In addition, around October, the server device 100 may make suggestions regarding changing clothes and doing laundry, such as, "It will continue to be below ○ degrees (it is unlikely that the maximum temperature will exceed ○ degrees), so why not put away your summer clothes and bring out your winter clothes?" or "It will be sunny all day on ○th of ○ month, so it will be a good day for doing laundry."

[0037] In addition, along with the suggestion of the date for changing clothes and doing laundry, the server device 100 may also make a suggestion for registering the date for changing clothes, such as "Register the date when you changed clothes in your calendar so that you can use it as a reference for next year."

[0038] At this time, the server device 100 may accumulate a history of past suggestions (suggestion history) for changing clothes and registering schedules as history information. Also, the server device 100 may register information indicating that a suggestion has been made in the user information for the user U (target user) who made the suggestion.

[0039] Furthermore, the server device 100 displays, along with the suggestion, advertisements and services related to the predetermined behavior on the screen of the weather app or calendar app (step S4). For example, along with the suggestion, the server device 100 may display, as advertisements and services related to changing clothes, advertisements and services for dry cleaning with home pickup and delivery (delivery), cleaning agency services, advertisements and services for selling, trading in, or picking up clothes and futons, information (links, etc.) about e-commerce sites and online malls that handle seasonal clothing, and services for listing items on flea market apps and auction sites. However, these are merely examples. It is preferable that the displayed advertisements and services support or encourage (promote) the behavior (changing clothes, etc.) of the user U.

[0040] Next, if the user U agrees to the proposal, the server device 100 registers that day (a day with weather and time suitable for the predetermined activity) as a schedule for performing the predetermined activity every year in the calendar app (step S5). For example, if the user U agrees to the proposal, the server device 100 may register a day with weather and time suitable for changing clothes as a schedule for performing the predetermined activity every year in the calendar app.

[0041] However, in reality, user U is not necessarily required to register the suggested suitable date (a day with weather and timing suitable for the predetermined activity) in the schedule. For example, if user U has already completed the predetermined activity (e.g., changing clothes) before the suggestion, or if the predetermined activity is performed after the suggested suitable date, the date on which the predetermined activity was actually performed (execution date) may be registered in the schedule. Furthermore, server device 100 may treat the execution date registered in the schedule by user U as the suitable day for the predetermined activity proposed to user U. In this case, server device 100 replaces the suitable day for the predetermined activity proposed to user U with the execution date registered in the schedule by user U. Furthermore, the weather on the suitable day is replaced with the weather on the execution date.

[0042] When the server device 100 suggests schedule registration in the weather app, it can promote the use of the calendar app. The server device 100 may also register stamps in the calendar app along with schedule registration. The type of stamp may be selectable by the user, or may be automatically selected depending on the schedule registration content.

[0043] In this embodiment, it is preferable that the weather app and the calendar app are linked. Furthermore, the weather function and the calendar function may be linked within an app with portal site functionality (portal site app), not just the weather app and calendar app. However, in reality, the weather app and the calendar app may be independent of each other. If they are independent of each other, it is assumed that the user U has logged in to each of the weather app and calendar app, and each app is individually linked to the user U's account and stores user information about the user U (as well as information acquired from the user U and information provided to the user U).

[0044] [2-2. Evaluation of proposed actions] 2 is an explanatory diagram showing an overview of an evaluation of a proposal for a predetermined action. In this embodiment, the server device 100 registers the evaluation of the proposal in user information linked to a weather app or a calendar app. At this time, the server device 100 may register the evaluation of the proposal together with the schedule registration in the calendar app.

[0045] For example, as shown in FIG. 2, when a user U launches a weather app or a calendar app on the terminal device 10, the server device 100 checks whether a predetermined action (e.g., changing clothes) and schedule registration have been suggested to the user U in the past (step S11).

[0046] For example, the server device 100 checks the history of past suggestions for changing clothes and registering a schedule, and checks whether the user U who launched the weather app or the calendar app is a target user to whom a suggestion for changing clothes and registering a schedule has been made in the past (a user to whom a suggestion has been made). Alternatively, the server device 100 checks whether information indicating that a suggestion has been made is registered in the user information for the user U who launched the weather app or the calendar app.

[0047] Next, if the server device 100 has previously suggested a specific activity and schedule registration to the user U, it checks whether the day on which the user U launched the weather app or calendar app on the terminal device 10 is within a specific period (within two weeks, within one month, etc.) after the suitable day (a day with weather and time suitable for the specific activity) suggested in the suggestion for the specific activity and schedule registration (step S12).

[0048] For example, if the server device 100 has previously suggested to the user U that they change their clothes and register a schedule, the server device 100 checks whether the launch date of the weather app or calendar app is within a predetermined period after the suggested suitable date for changing their clothes. In other words, the server device 100 checks whether the launch date of the weather app or calendar app is within a predetermined period after the suggested date (the date registered in the schedule).

[0049] Next, if the launch date of the weather app or calendar app is within a predetermined period after a day that is suitable for the specified action, the server device 100 makes an inquiry (request for evaluation) to the terminal device 10 of the user U via the network N regarding the evaluation of the proposed specified action (step S13).

[0050] That is, the server device 100 inquires whether the previous predetermined action and schedule registration suggestion were appropriate (reasonable). For example, the server device 100 may display a button or pop-up or the like displaying "What did you think of the wardrobe suggestion?" on the screen of a weather app or a calendar app, and when the user U taps this button or pop-up or the like, the screen may transition to a screen where the user U can select an evaluation such as "too early / just right / too late." In this case, the user U selects an evaluation such as "too early / just right / too late" on the transition destination screen. Alternatively, the server device 100 may use a notification function (e.g., a push notification function) that does not require the launch of an app to display a message such as "What did you think of the wardrobe suggestion?" on the screen of the terminal device 10 of the user U, prompting the user U to transition to a screen where the user U can select an evaluation.

[0051] Note that evaluations such as "too early / just right / too late" are merely examples. In reality, evaluations may be based on points (scores). Also, multi-level evaluations (3-level evaluation, 5-level evaluation) or rankings may be used.

[0052] In addition, when user U launches a weather app or calendar app on terminal device 10 after a suitable day for changing clothes in June, server device 100 may display a message based on the most recent weather information such as "Now that you've changed your clothes, how are you feeling? It got much colder on XX / XX day, didn't it?", along with an inquiry regarding evaluation such as "Please tell us whether the suggestion for changing clothes was appropriate. (Too early / Just right / Too late)."

[0053] In addition, when user U launches a weather app or calendar app on terminal device 10 after a suitable day for changing clothes in October, server device 100 may send a message based on the most recent weather information such as "Now that you've changed your clothes, how are you feeling? It's been hot since XX month.", along with an inquiry regarding evaluation such as "Please tell us whether the suggestion for changing clothes was appropriate (too early / just right / too late)."

[0054] Next, the server device 100 receives an evaluation (a response to an inquiry) on the proposed predetermined action from the terminal device 10 of the user U via the network N (step S14).

[0055] For example, the server device 100 receives one of the answers "too early / just right / too late" in response to a query "Was the suggestion for changing clothes appropriate?" At this time, the server device 100 stores the received answer in association with user information about the user U. For example, the server device 100 may register the received answer in the user information about the user U.

[0056] Since one evaluation for a single proposal is sufficient, the server device 100 may check whether an evaluation inquiry has already been made to the user U before making an inquiry (request for evaluation) regarding the evaluation of the predetermined action proposal, and may make the inquiry if the inquiry regarding the evaluation has not yet been made, or may not make the inquiry if the inquiry regarding the evaluation has already been made. In this case, the server device 100 may determine whether an inquiry regarding the evaluation has already been made based on whether or not an evaluation (answer to the inquiry) has been made regarding the predetermined action proposal. Alternatively, the server device 100 may set a flag when receiving an evaluation (answer to the inquiry) regarding the predetermined action proposal, and determine whether or not an inquiry regarding the evaluation has already been made based on whether or not the flag is set.

[0057] Next, the server device 100 causes the AI ​​to learn a set of the user U, the predetermined behavior, the suggested suitable day, the weather on that day, and the evaluation of the suggestion as a data set (step S15).

[0058] [2-3. Action suggestions based on past registration information and the weather on the scheduled day] 3 is an explanatory diagram showing an outline of activity suggestions based on past registration details and the weather on the scheduled date. In this embodiment, the server device 100 makes suggestions (habit suggestions) for this year based on last year's (previous year's) activity schedule and its evaluation, and this year's weather.

[0059] For example, as shown in FIG. 3, when a user U launches a weather app or a calendar app on the terminal device 10, the server device 100 checks whether the date is within a predetermined period (within two weeks, within one month, etc.) before the date (scheduled date) on which the schedule is registered (step S21).

[0060] The dates registered in the schedule are the days on which a specific activity is performed each year (habitual activity days). In this embodiment, a specific period before the date registered in the schedule is set as the period for suggesting activities based on the past registration details and the weather on the scheduled date.

[0061] Next, if it is within a predetermined period before the date registered in the schedule, the server device 100 checks the evaluation of past proposals related to the date registered in the schedule (step S22).

[0062] Next, if the evaluation of the past proposal indicates "good," the server device 100 checks the weather for the day registered in the schedule (step S23).

[0063] Next, if the weather on the day registered in the schedule is the same as last year (as usual), the server device 100 suggests performing a predetermined action (such as changing clothes) on the day registered in the schedule, just as it did last year (step S24).

[0064] For example, if the evaluation of a past proposal is "just right," the server device 100 checks the weather on the date registered in the schedule (scheduled date). If the weather on the date registered in the schedule is good and suitable for a predetermined activity, the server device 100 suggests performing the predetermined activity on the date registered in the schedule.

[0065] In addition, if the weather on the day registered in the schedule is bad and unsuitable for the specified activity, or if the evaluation of the past proposal indicates "unsuitable," the server device 100 checks the weather on days other than the day registered in the schedule (scheduled date) (step S25).

[0066] Next, if there is a day other than the days registered in the schedule that has weather and time suitable for the specified action (a day suitable for the specified action), the server device 100 suggests performing the specified action on that day and registering that day as a day to perform the specified action every year (habitual action day) in the schedule (step S26).

[0067] For example, if the evaluation of a past suggestion was "too early," the server device 100 checks the weather for each day within a predetermined period (within two weeks, within one month, etc.) after the date on which the schedule is registered. If there is a day within the predetermined period after the date on which the schedule is registered that has suitable weather and timing for the predetermined activity (a day suitable for the predetermined activity), the server device 100 suggests performing the predetermined activity on that day and registering that day as a day on which the predetermined activity will be performed every year (a habitual activity day) in the schedule.

[0068] Furthermore, if the evaluation of the past proposal was "too late," the server device 100 checks the weather for each day between the present time and the date registered on the schedule. If there is a day between the present time and the date registered on the schedule that has weather and timing suitable for a predetermined action (a day suitable for the predetermined action), the server device 100 suggests performing the predetermined action on that day and registering that day as a day to perform the predetermined action every year (habitual action day) on the schedule.

[0069] For example, around June, the server device 100 may make suggestions regarding dates for changing clothes and doing laundry, such as, "Last year, you changed your clothes on XX / XX, which seems a little early. This year, the temperature will continue to be above XX degrees (it doesn't look like the minimum temperature will drop below XX degrees), so why not put away your winter clothes?" or "XX / XX will be sunny all day, making it a good day for doing laundry."

[0070] In addition, around October, the server device 100 may make suggestions regarding dates for changing clothes and doing laundry, such as, "Last year, it was a good idea to change clothes on XX / XX. Since the temperature will continue to be below XX degrees (it is unlikely that the maximum temperature will ever reach XX degrees), why not put away your summer clothes and bring out your winter clothes?" or "XX / XX will be sunny all day, making it a good day for doing laundry."

[0071] In addition, along with the suggestion of the date for changing clothes and doing laundry, the server device 100 may also make a suggestion for registering the date for changing clothes, such as "Register the date when you changed clothes in your calendar so that you can use it as a reference for next year."

[0072] At this time, if the user U agrees to the schedule registration proposal and a new schedule is registered, the server device 100 may delete the registration of the date that has already been registered. In other words, the server device 100 may update the registered date to the newly registered date. In practice, the server device 100 may not delete the previously registered date, but may leave it as a replacement date.

[0073] Then, for this suggestion (habit suggestion), the server device 100 may also evaluate the suggestion of a predetermined behavior, as shown in FIG.

[0074] [2-4. Suggestions for changing clothes] The server device 100 receives evaluations such as "too early," "just right," and "too late" from the terminal device 10 of the user U via the network N about the timing of past clothing changes, makes the AI ​​learn the evaluations, and uses the AI ​​to suggest shifting the schedule for the following year and beyond.

[0075] For example, if the timing of changing clothes last year was "too early," the server device 100 will suggest a week with an average temperature of the suggested week last year + X degrees (X is arbitrary) (and with many sunny days). A week with an average temperature of the suggested week last year + X degrees indicates a week with a higher temperature than the average temperature of the suggested week last year.

[0076] Furthermore, if the timing of changing clothes last year was "just right," the server device 100 will suggest a week with the same average temperature as the suggested week last year (and a week with many sunny days).

[0077] Furthermore, if the timing of changing clothes last year was "too late," the server device 100 will suggest a week with an average temperature of the week suggested last year minus Y degrees (Y is an arbitrary value) (and a week with many sunny days). A week with an average temperature of the week suggested last year minus Y degrees indicates a week with a lower temperature than the average temperature of the week suggested last year.

[0078] In practice, when changing from cold (cool) seasons to hot (warm) seasons, such as from winter to spring or from spring to summer, if the timing of the change last year was "too early," the server device 100 may suggest a week with an average temperature of +X degrees (and with many sunny days) for the week suggested last year.

[0079] Conversely, when changing from hot (warm) seasons to cold (cool) seasons, such as from summer to autumn or from autumn to winter, if the timing of the change last year was "too early," the server device 100 may suggest a week with an average temperature of -Y degrees (and with many sunny days) for the week suggested last year.

[0080] In reality, if the timing of changing clothes last year was "just right," the server device 100 may suggest a week in which the average temperature of the week suggested last year is higher than -Y degrees and lower than the average temperature of the week suggested last year +X degrees (and which also has many sunny days).

[0081] In practice, when changing from cold (cool) seasons to hot (warm) seasons, such as from winter to spring or from spring to summer, if the timing of the change last year was "too late," the server device 100 may suggest a week with an average temperature of -Y degrees (and with many sunny days) for the week suggested last year.

[0082] On the contrary, when changing clothes from summer to autumn or from autumn to winter, i.e., when changing from a hot (warm) season to a cold (cool) season, if the timing of changing clothes last year was "too late", the server device 100 may propose in the week with the average temperature of the week proposed last year + X degrees (and a week with many sunny days).

[0083] Also, "changing clothes" may be read as "changing futons" (taking out / putting away winter futons and blankets). Also, "changing clothes" may be read as "changing car tires" (changing between summer tires and studless tires). Also, "changing clothes" may be read as "changing the menu" (starting a summer menu or a winter menu). For example, it may be read as starting to provide cold somen noodles or hot pot dishes during meals.

[0084] The relationship between X degrees and Y degrees in the above description may be X degrees = Y degrees, or X degrees > Y degrees, or X degrees < Y degrees.

[0085] [2-5. Proposal for changing cosmetics] The server device 100 receives evaluations such as "too early", "just right", or "too late" regarding the timing of past cosmetics changes (including sunscreen) from the user U's terminal device 10 via the network N and makes the AI learn. Using the AI, it proposes to shift the schedule after the next year.

[0086] For example, when the timing of changing cosmetics last year was "too early", the server device 100 proposes in the week with the average humidity (average ultraviolet radiation amount) of the week proposed last year + X% (X is arbitrary). The week with the average humidity of the week proposed last year + X% indicates a week with higher humidity than the average humidity of the week proposed last year.

[0087] Also, when the timing of changing cosmetics last year was "just right", the server device 100 proposes in the same week as the average humidity (average ultraviolet radiation amount) of the week proposed last year.

[0088] Furthermore, if the timing of changing cosmetics last year was "too late," the server device 100 will suggest a week with the average humidity (average amount of ultraviolet light) of the week suggested last year minus Y% (Y is an arbitrary value). A week with the average humidity of the week suggested last year minus Y% indicates a week with lower humidity than the average humidity of the week suggested last year.

[0089] In practice, if the timing of changing cosmetics last year was "just right," the server device 100 may suggest a week in which the average humidity (average amount of UV rays) of the week suggested last year is higher than -Y% and the average humidity (average amount of UV rays) of the week suggested last year is +X%.

[0090] The relationship between X% and Y% in the above explanation may be X%=Y%, X%>Y%, or X% <Y%であってもよい。

[0091] [2-6. Suggestions for when to start taking hay fever medication] The server device 100 receives evaluations such as "too early," "just right," and "too late" from the terminal device 10 of the user U via the network N about the timing of starting to take medicine for hay fever in the past, makes the AI ​​learn the evaluations, and uses the AI ​​to suggest changing the schedule for the following year and thereafter.

[0092] For example, if the time to start taking medicine for hay fever last year was "too early," the server device 100 may calculate the total (or average) amount of pollen in the air during the suggested week last year + X particles / m 2 (X is arbitrary) weeks. Total (or average) pollen count + X grains / m 2 indicates a week in which the temperature is higher than the total (or average) pollen count.

[0093] Furthermore, if the time to start taking medicine for hay fever last year was "just right," the server device 100 will suggest the same week as the total (or average) amount of pollen released in the air for the suggested week last year.

[0094] In addition, if the time to start taking medicine for hay fever last year was "too late," the server device 100 calculates the total (or average) amount of pollen released in the week suggested last year minus Y particles / m 2(Y is arbitrary) Propose in the week. Total (or average) pollen dispersal amount in the week proposed last year - Y pieces / m 2 The week indicates a week with a lower temperature than the total (or average) pollen dispersal amount in the week proposed last year.

[0095] In actuality, when the server device 100 determines that the timing to start taking medicine for hay fever last year was "just right", it may propose in a week where the total (or average) pollen dispersal amount is higher than the total (or average) pollen dispersal amount in the week proposed last year - Y pieces / m 2 and lower than the total (or average) pollen dispersal amount in the week proposed last year + X pieces / m 2 as well.

[0096] In the above description, X pieces / m 2 and Y pieces / m 2 may have a relationship where 2 X pieces / m 2 = Y pieces / m 2 or 2 X pieces / m 2 > Y pieces / m 2 or

[0097] X pieces / m

[0098] However, the above is only an example and is not limited to these examples in actuality. In this embodiment, the server device 100 cooperates with the terminal device 10 of the user U via the network N, learns the correspondence between timing, weather, and actions, and when the user U registers a schedule for a certain action on a calendar (scheduler) such as on the web or an app, it checks the meteorological information (weather forecast, etc.) for the scheduled date and time and determines whether the weather for the scheduled date and time matches (is suitable for) that action. And when the weather for the scheduled date and time does not match (is not suitable for) that action, the server device 100 proposes a reschedule at a different date and time (nearby date and time) close to the scheduled date and time where the weather matches that action.

[0099] In this embodiment, the server device 100 determines whether an individual's past actions influenced by weather have been successful. Then, the server device 100 suggests the timing to perform the action depending on the determination result of the success or failure of the individual's action.

[0100] For example, the server device 100 receives information from the terminal device 10 of the user U via the network N that "the user U changed his clothes in the past, but it was cold and he failed." At this time, the server device 100 may use AI to inquire the terminal device 10 of the user U via the network N about the date, time and place where the change of clothes was made along with the question "How was your previous change of clothes?", and may receive as a response the information that "the user U changed his clothes in the past, but it was cold and he failed," along with the date, time and place where the change of clothes was made.

[0101] When the server device 100 receives information from the terminal device 10 of the user U that "the change of clothes has failed," the server device 100 makes the AI ​​learn the date, time and location (including the surrounding area) where the change of clothes was performed as a "failure example."

[0102] Then, when "changing clothes" is written (registered) on the calendar thereafter, the server device 100 uses AI to compare the weather (forecast) for that date, time, and location with past weather (history) based on meteorological information, and if it is similar to the "failure example," provides another date and time. For example, the server device 100 suggests a date later than the originally scheduled date and time for changing clothes written on the calendar (postponement of the change).

[0103] In addition, the server device 100 may receive information from the user U's terminal device 10 via the network N, not limited to information such as "User U changed his clothes in the past, but it was cold and he failed," but also information such as "The day when user U changed his clothes in the past was appropriate and successful."

[0104] When the server device 100 receives information from the terminal device 10 of the user U that "the change of clothes was successful," the server device 100 has the AI ​​learn the date, time, and location (including the surrounding area) where the change of clothes was performed as a "success example."

[0105] Then, when "change clothes" is written on the calendar from then on, the server device 100 uses the AI ​​that has learned the "success stories" of each user to suggest other dates and times that are predicted to be "successful." Note that the "success stories" of each user may be limited to the "success stories" of a user group that has the same attributes as user U who wrote "change clothes" on the calendar.

[0106] Alternatively, the server device 100 may use AI to send a suggestion to the user U's terminal device 10 via the network N, regardless of the calendar, based on weather information, suggesting in advance that the user U change their clothes at an appropriate date and time (or a date and time similar to a "successful example"), avoiding dates and times similar to "failed examples."

[0107] Furthermore, the server device 100 determines a more appropriate date and time for the next action based on the "situation x evaluation" and the weather corresponding to the situation. The server device 100 acquires the evaluation in order to propose "a more appropriate date and time for the user."

[0108] For each planned action by user U (depending on what they are going to do), there is a combination of meteorological information such as weather, temperature, UV rays, and pollen, and timing information such as whether the timing is the same, earlier, or later than the previous action.

[0109] If the user U is a business owner such as a store, the server device 100 may further consider sale information in addition to the above information. The server device 100 may also consider congestion predictions. The server device 100 may also decide to hold this year's event earlier or later based on information that an event was held earlier or later last year. Similar events may also be considered. The server device 100 may also suggest inventory displays based on the event's timing or weather.

[0110] [2-8. Value that can be provided to customers] According to this embodiment, instead of deciding on daily activities that are performed regularly every year based on the weather at the time, the timing can be suggested based on your past actions and evaluations of those actions, as well as this year's weather forecast, making it possible to perform actions at the optimal time without having to go through trial and error yourself.

[0111] Furthermore, according to this embodiment, as the registration and evaluation of activity schedules are accumulated, suggestions can be made at more precise timing, and the benefits increase the more continuously the system is used.

[0112] 4 is a diagram showing the value provided to a user by an information processing system according to an embodiment. As shown in FIG. 4, a user U can receive suggestions on when to perform seasonal activities without having to think about it himself.

[0113] Furthermore, the customer segment assumed to be user U in this embodiment is people who repeatedly fail and worry because they do not know when is the best time to perform seasonal activities.

[0114] In this embodiment, the server device 100 can suggest to the user U the perfect date and time for each activity. The server device 100 can also manage the user U's past activity history. The server device 100 can also provide a service that suggests the best timing for an activity based on the user U's past activity history and the weather on the planned date. The user U no longer has to blame himself for not making the decision himself. The user U can also evaluate the suggestions.

[0115] The server device 100 can also notify the user of services related to the user's behavior through advertisements. For example, the server device 100 can provide advertisements for cleaning and storage services. If the user U does not want to do his or her own laundry when changing clothes, the user U can use the cleaning and storage services notified by the advertisements.

[0116] Furthermore, the user U does not need to worry about when to perform a predetermined action, and the user U does not need to remember what he or she did last year.

[0117] The server device 100 can also meet the user U's desire to change clothes at the perfect timing to stay comfortable before it gets too hot or too cold. The server device 100 can also relieve the user U from the hassle of washing clothes before changing clothes. The server device 100 can also relieve the user U from feeling depressed (worried) that they were unable to act at the right time this year.

[0118] The server device 100 can also relieve the user U from having to put away winter clothes and winter bedding, then get cold and have to pull out the winter clothes again, and from having to spend the day in summer clothes because it is too much of a hassle to pull out the winter clothes.

[0119] [3. Example of terminal device configuration] Next, the configuration of the terminal device 10 will be described with reference to Fig. 5. Fig. 5 is a diagram showing an example of the configuration of the terminal device 10 according to the embodiment. As shown in Fig. 5, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40.

[0120] (Communications Department 11) The communication unit 11 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the server device 100 via the network N. For example, the communication unit 11 is realized by a NIC (Network Interface Card), an antenna, etc.

[0121] (Display section 12) Display unit 12 is a display device that displays various information such as position information. For example, display unit 12 is a liquid crystal display (LCD) or an organic electro-luminescent display (OLED). Display unit 12 is also a touch panel display, but is not limited to this.

[0122] (Input section 13) The input unit 13 is an input device that accepts various operations from the user U. For example, the input unit 13 has buttons for inputting characters, numbers, etc. The input unit 13 may be an input / output port (I / O port), a USB (Universal Serial Bus) port, etc. If the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. The input unit 13 may be a microphone that accepts voice input from the user U. The microphone may be wireless.

[0123] (Positioning unit 14) The positioning unit 14 receives signals (radio waves) transmitted from satellites of a GPS (Global Positioning System), and acquires position information (e.g., latitude and longitude) indicating the current position of the terminal device 10, which is the device itself, based on the received signals. That is, the positioning unit 14 positions the position of the terminal device 10. Note that GPS is merely an example of a GNSS (Global Navigation Satellite System).

[0124] The positioning unit 14 can also measure the position using various methods other than GPS. For example, the positioning unit 14 may measure the position by using various communication functions of the terminal device 10 as an auxiliary positioning means for position correction, etc., as described below.

[0125] (Wi-Fi positioning) For example, the positioning unit 14 uses a Wi-Fi (registered trademark) communication function of the terminal device 10 or a communication network provided by each communication company to measure the position of the terminal device 10. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the distance to a nearby base station or access point, thereby measuring the position of the terminal device 10.

[0126] (Beacon positioning) The positioning unit 14 may also measure the position by using a Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 measures the position of the terminal device 10 by connecting to a beacon transmitter connected by the Bluetooth (registered trademark) function.

[0127] (geomagnetic positioning) The positioning unit 14 also measures the position of the terminal device 10 based on a geomagnetic pattern of a structure that has been measured in advance and a geomagnetic sensor that the terminal device 10 has.

[0128] (RFID positioning) Furthermore, for example, if the terminal device 10 has a function of an RFID (Radio Frequency Identification) tag equivalent to a contactless IC card used at station ticket gates, in stores, etc., or has a function of reading an RFID tag, the location where the terminal device 10 was used is recorded together with information on the payment or the like made by the terminal device 10. The positioning unit 14 may obtain such information to determine the location of the terminal device 10. Alternatively, the location may be determined by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.

[0129] The positioning unit 14 may measure the position of the terminal device 10 using one or a combination of the above-mentioned positioning means, as needed.

[0130] (Sensor unit 20) The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10. The connection may be wired or wireless. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices or wireless devices. In the example shown in FIG. 5, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, a barometric pressure sensor 23, a temperature sensor 24, a sound sensor 25, a light sensor 26, a magnetic sensor 27, and an image sensor (camera) 28.

[0131] The above-described sensors 21 to 28 are merely examples and are not intended to be limiting. That is, the sensor unit 20 may be configured to include some of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28.

[0132] The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10, such as the direction of movement, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects physical movements of the terminal device 10, such as tilt in three axial directions, based on the angular velocity of the terminal device 10. The air pressure sensor 23 detects, for example, the air pressure around the terminal device 10.

[0133] Since the terminal device 10 includes the acceleration sensor 21, the gyro sensor 22, the atmospheric pressure sensor 23, etc., it is possible to measure the position of the terminal device 10 using a technique such as Pedestrian Dead-Reckoning (PDR) that uses these sensors 21 to 23. This makes it possible to obtain indoor position information that is difficult to obtain using a positioning system such as GPS.

[0134] For example, the number of steps, walking speed, and distance walked can be calculated using a pedometer that uses the acceleration sensor 21. In addition, the direction of travel, line of sight, and body tilt of the user U can be determined using the gyro sensor 22. In addition, the altitude and floor on which the terminal device 10 of the user U is located can be determined from the air pressure detected by the air pressure sensor 23.

[0135] The temperature sensor 24 detects, for example, the temperature around the terminal device 10. The sound sensor 25 detects, for example, the sound around the terminal device 10. The light sensor 26 detects the illuminance around the terminal device 10. The magnetic sensor 27 detects, for example, the geomagnetism around the terminal device 10. The image sensor 28 captures an image around the terminal device 10.

[0136] The above-mentioned air pressure sensor 23, temperature sensor 24, sound sensor 25, light sensor 26, and image sensor 28 can detect the air pressure, temperature, sound, and illuminance, respectively, and capture images of the surroundings, thereby detecting the environment and situation around the terminal device 10. Furthermore, the accuracy of the location information of the terminal device 10 can be improved based on the environment and situation around the terminal device 10.

[0137] (control unit 30) The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), ROM (Read Only Memory), RAM, input / output ports, etc., and various other circuits. The control unit 30 may also be configured with hardware such as an integrated circuit, for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmitting unit 31, a receiving unit 32, and a processing unit 33.

[0138] (Transmitter 31) The transmission unit 31 can transmit, for example, various information input by the user U using the input unit 13, various information detected by each sensor 21 to 28 mounted on or connected to the terminal device 10, and location information of the terminal device 10 measured by the positioning unit 14 to the server device 100 via the communication unit 11.

[0139] (Receiving unit 32) The receiving unit 32 can receive various types of information provided by the server device 100 and requests for various types of information from the server device 100 via the communication unit 11.

[0140] (Processing unit 33) The processing unit 33 controls the entire terminal device 10, including the display unit 12. For example, the processing unit 33 can output various information transmitted by the transmitting unit 31 and various information received from the server device 100 by the receiving unit 32 to the display unit 12 for display.

[0141] (Storage unit 40) The storage unit 40 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), an optical disk, etc. The storage unit 40 stores various programs, various data, etc.

[0142] [4. Server device configuration example] Next, the configuration of the server device 100 according to the embodiment will be described with reference to Fig. 6. Fig. 6 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 6, the server device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0143] (Communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is connected to a network N by wire or wirelessly.

[0144] (Storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as an HDD, an SSD, an optical disk, etc. The storage unit 120 may store attribute information and history information (log data) of the user U together with identification information (such as a user ID) indicating the user U.

[0145] (control unit 130) The control unit 130 is a controller, and is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like, executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the server device 100 using a storage area such as a RAM as a working area. In the example shown in FIG. 6, the control unit 130 has an acquisition unit 131, a reception unit 132, a determination unit 133, a confirmation unit 134, and a proposal unit 135.

[0146] (Acquisition part 131) The acquisition unit 131 acquires a search query input by a user U. For example, when the user U inputs a search query into a search engine or the like to perform a keyword search, the acquisition unit 131 acquires the search query via the communication unit 110. That is, the acquisition unit 131 acquires, via the communication unit 110, the keywords input by the user U into the search box of a search engine, website, or app.

[0147] Furthermore, the acquisition unit 131 acquires user information about the user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (such as a user ID) indicating the user U, location information of the user U, attribute information of the user U, etc. from the terminal device 10 of the user U. Furthermore, the acquisition unit 131 may acquire the identification information indicating the user U, attribute information of the user U, etc. when the user U is registered. Then, the acquisition unit 131 stores the user information in the storage unit 120.

[0148] Furthermore, the acquisition unit 131 acquires various types of history information (log data) indicating the behavior of the user U via the communication unit 110. For example, the acquisition unit 131 acquires various types of history information indicating the behavior of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. Then, the acquisition unit 131 stores the various types of history information in the storage unit 120.

[0149] (Reception Department 132) The reception unit 132 receives notification of app launch via the communication unit 110 when a weather app or a calendar app, or a portal site app having at least one of a weather function and a calendar function, is launched on the user U's terminal device 10.

[0150] Furthermore, the receiving unit 132 receives an evaluation regarding the success or failure of the predetermined action from the user U who has taken the predetermined action in response to the proposal, via the communication unit 110. Furthermore, at the time of the first proposal, the receiving unit 132 receives an evaluation regarding the success or failure of the predetermined action taken on the date of the first proposal.

[0151] (Judgment unit 133) The determination unit 133 determines the success or failure of a predetermined action based on an evaluation of the success or failure of the predetermined action. The determination unit 133 also determines the success or failure of a predetermined action that is affected by weather and that was performed on a predetermined date in the previous year or earlier.

[0152] (Verification section 134) The confirmation unit 134 confirms the weather on a date corresponding to a predetermined date in the current year. Furthermore, if the weather on a date corresponding to a predetermined date in the current year is not suitable for the predetermined activity, the confirmation unit 134 confirms a date other than the date corresponding to the predetermined date in the current year on which the weather is suitable for the predetermined activity.

[0153] (Proposal Department 135) When making the first proposal without information on the success or failure of the predetermined action in the previous year or earlier, the suggestion unit 135 suggests via the communication unit 110 to perform the predetermined action on a date on which the predetermined action is generally performed and on which the weather is suitable for the predetermined action.

[0154] In addition, the suggestion unit 135 suggests, via the communication unit 110, a schedule for this year that is suitable for the specified action, based on the result of determining whether the specified action will be successful or not and the weather on the date corresponding to the specified date for this year.

[0155] For example, if a specified action taken on a specified date in the previous year or earlier was successful, and the weather on a date corresponding to the specified date in the current year is suitable for the specified action, the suggestion unit 135 suggests taking the specified action on a date corresponding to the specified date in the current year.

[0156] Furthermore, if a predetermined action taken on a predetermined date in the previous year or earlier was not successful, or if the weather on a date corresponding to the predetermined date in the current year is not suitable for the predetermined action, the suggestion unit 135 suggests taking the predetermined action on a date other than the date corresponding to the predetermined date in the current year when the weather is suitable for the predetermined action.

[0157] In addition, if the predetermined action taken in response to a proposal this year is successful, the suggestion unit 135 suggests that a schedule be registered in order to receive proposals on the dates on which the predetermined action was successful in the following years as well.

[0158] For example, the suggestion unit 135 suggests, as dates suitable for a predetermined action in this year, a date for changing clothes, a date for starting to take anti-pollen medicine, a date for switching cosmetics and bedding from summer to winter, a date for using sunscreen, a date for changing tableware, a date for changing car tires, or a date for performing other seasonal actions.

[0159] In addition, when a weather app or a calendar app, or a portal site app having at least one of a weather function and a calendar function, is launched, the suggestion unit 135 suggests a schedule for the current year suitable for a predetermined action on the app screen.

[0160] [5. Processing Procedure] Next, a processing procedure performed by the server device 100 according to the embodiment will be described with reference to Fig. 7. Fig. 7 is a flowchart showing the processing procedure according to the embodiment. Note that the processing procedure shown below is repeatedly executed by the control unit 130 of the server device 100.

[0161] For example, as shown in FIG. 7, when a weather app or a calendar app, or a portal site app having at least one of a weather function and a calendar function, is launched on the terminal device 10 of the user U, the reception unit 132 of the server device 100 receives a notification of the app launch via the communication unit 110 (step S101).

[0162] Next, the determination unit 133 of the server device 100 receives the notification of the application startup and determines whether or not there is an evaluation of the proposal from the previous year or earlier (step S102).

[0163] Next, if there is no evaluation of the proposal from the previous year or earlier (step S102: No), the suggestion unit 135 of the server device 100 proposes, as a new proposal (initial proposal), to perform the specified action on a date when the specified action is generally performed and when the weather is suitable for the specified action, and to register the schedule (step S103).

[0164] On the other hand, if there is an evaluation for the proposal from the previous year or earlier (step S102: Yes), the determination unit 133 of the server device 100 determines whether the evaluation for the proposal from the previous year or earlier indicates "good" (step S104).

[0165] Next, if the evaluation of the proposal from the previous year or earlier is "suitable" (step S104: Yes), the confirmation unit 134 of the server device 100 checks whether the weather on the date in the current year corresponding to the specified date on which the specified activity was performed in the previous year or earlier is good and suitable for the specified activity (step S105).

[0166] Next, if the weather in the current year on a date corresponding to a specified date on which the specified action was taken in the previous year or earlier is good and suitable for the specified action (step S105: Yes), the suggestion unit 135 of the server device 100 suggests taking the specified action on the date corresponding to the specified date in the current year, as in the previous year or earlier (step S106).

[0167] Conversely, if the evaluation of the proposal from the previous year or earlier is not an evaluation indicating "suitable" (step S104: No), or if the weather on the date in the current year corresponding to the specified date on which the specified action was taken in the previous year or earlier is not good and is not suitable for the specified action (step S105: No), the confirmation unit 134 of the server device 100 checks for dates in the current year other than the date corresponding to the specified date on which the specified action was taken in the previous year or earlier that have good weather and are suitable for the specified action (step S107).

[0168] Next, the suggestion unit 135 of the server device 100 suggests performing the specified activity on a date in the current year other than the date corresponding to the specified date on which the specified activity was performed in the previous year or earlier, when the weather is good and suitable for the specified activity, and suggests registering the date (step S108).

[0169] Next, the accepting unit 132 of the server device 100 accepts a schedule registration by the user U from the terminal device 10 of the user U via the communication unit 110 (step S109).

[0170] For example, when the user U registers a schedule in the calendar, the reception unit 132 receives information indicating that the schedule has been registered. Alternatively, the reception unit 132 receives information indicating that the user U has agreed to the schedule registration. At this time, the control unit 130 of the server device 100 may perform a setting to make a proposal every year based on the schedule registered by the user. For example, the control unit 130 may register the schedule of the proposed plan in the calendar on the server.

[0171] Note that the reception unit 132 will not accept schedule registration by the user U if a schedule has already been registered and there is no need to register a schedule, or if no schedule registration has been made. The above processing is the processing performed when schedule registration by the user U is accepted. However, in practice, schedule registration by the user U may be accepted each time, regardless of whether it is proposed or not, and the schedule may be updated every year.

[0172] Next, the receiving unit 132 of the server device 100 receives, via the communication unit 110, an evaluation of the success or failure of the predetermined action from the terminal device 10 of the user U who has taken the predetermined action in response to the suggestion (step S110).

[0173] [6. Modifications] The terminal device 10 and the server device 100 described above may be implemented in various different forms other than the above embodiment. Therefore, modifications of the embodiment will be described below.

[0174] In the above embodiment, some or all of the processing executed by the server device 100 may actually be executed by the terminal device 10 (or an application running on the terminal device 10). For example, the processing may be completed in a stand-alone manner (by the terminal device 10 alone). In this case, the terminal device 10 is assumed to have the functions of the server device 100 in the above embodiment. Furthermore, in the above embodiment, the terminal device 10 cooperates with the server device 100, and therefore, from the perspective of the user U, it appears that the processing of the server device 100 is also being executed by the terminal device 10. In other words, from another perspective, the terminal device 10 can also be said to be equipped with the server device 100.

[0175] Furthermore, in the above embodiment, the server device 100 does not necessarily have to receive an evaluation of the proposed predetermined action from the user U. For example, the server device 100 may estimate whether the proposal was appropriate based on the content of posts on the user U's SNS. Alternatively, the server device 100 may estimate whether the proposal was appropriate based on the output (sensor information) of various sensors mounted on the terminal device 10 of the user U. Furthermore, the server device 100 may have an AI learn the correspondence between the weather on the proposed schedule and the success or failure of the proposal, and use the AI ​​to estimate whether the proposal was appropriate.

[0176] Furthermore, in the above embodiment, seasonal behavior that is affected by weather is given as an example of a specified behavior, but in reality, the server device 100 may suggest to the user U dates with weather suitable for behaviors such as taking a summer vacation, booking a trip for Golden Week (GW), visiting graves during Obon, or returning home for the New Year holidays.

[0177] In addition, in the above embodiment, the server device 100 may estimate the specific actions that user U performs each year from the registered contents of user U's calendar or from user U's historical information, and suggest a schedule with weather suitable for performing the estimated specific actions.

[0178] Furthermore, in the above embodiment, the server device 100 may suggest to a user U who goes swimming in the sea, skiing, or the like every year, a schedule with weather suitable for swimming in the sea, skiing, or the like. Furthermore, the server device 100 may suggest to a user U who regularly engages in outdoor activities (for example, fishing, camping, golf, tennis, or the like), a schedule with weather suitable for the outdoor activity. Furthermore, the server device 100 may suggest to a user U who engages in specific activities (for example, family trips, visiting graves, gardening (garden maintenance, sowing seeds, fertilizing plants, etc.), stargazing, astronomical observation, etc.) at a fixed time every year, a schedule with weather suitable for the activity.

[0179] In the above embodiment, the server device 100 makes a proposal every year (every year), but in practice, the proposal may be made every month. That is, the predetermined behavior may be a monthly behavior.

[0180] [7. Effects] As described above, the information processing device (terminal device 10 and server device 100) according to the present application is characterized by comprising a judgment unit 133 that judges whether a specified action that is affected by weather and that was performed on a specified date in the previous year or earlier has been successful, a confirmation unit 134 that checks the weather on a date corresponding to the specified date in the current year, and a proposal unit 135 that proposes a date in the current year that is suitable for the specified action based on the judgment result of whether the specified action has been successful and the weather on the date corresponding to the specified date in the current year.

[0181] In addition, if a specified action taken on a specified date in the previous year or earlier was successful and the weather on a date corresponding to the specified date in the current year is suitable for the specified action, the suggestion unit 135 suggests taking the specified action on a date corresponding to the specified date in the current year.

[0182] Furthermore, if a predetermined action taken on a predetermined date in the previous year or earlier was not successful, or if the weather on a date corresponding to the predetermined date in the current year is not suitable for the predetermined action, the suggestion unit 135 suggests taking the predetermined action on a date other than the date corresponding to the predetermined date in the current year when the weather is suitable for the predetermined action.

[0183] The information processing device according to the present application further includes a receiving unit 132 that receives an evaluation of the success or failure of the predetermined action from a user U who has taken the predetermined action in response to a suggestion. The determining unit 133 determines the success or failure of the predetermined action based on the evaluation of the success or failure of the predetermined action.

[0184] In addition, if the predetermined action taken in response to a proposal this year is successful, the suggestion unit 135 suggests that a schedule be registered in order to receive proposals on the dates on which the predetermined action was successful in the following years as well.

[0185] In addition, when making the initial proposal without information on the success or failure of the predetermined action in the previous year or earlier, the proposal unit 135 proposes to perform the predetermined action on a date on which the predetermined action is generally performed and on which the weather is suitable for the predetermined action.

[0186] In addition, the suggestion unit 135 suggests, as dates suitable for the predetermined action in this year, a date for changing clothes, a date for starting to take anti-pollen medicine, a date for switching cosmetics and bedding from summer to winter, a date for using sunscreen, a date for changing tableware, a date for changing car tires, or a date for performing other seasonal actions.

[0187] In addition, when a weather app or a calendar app, or a portal site app having at least one of a weather function and a calendar function, is launched, the suggestion unit 135 suggests a schedule for the current year suitable for a predetermined action on the app screen.

[0188] By using any one or a combination of the above-described processes, the information processing device according to the present application can make suggestions for actions according to the weather that are repeated every year.

[0189] [8. Hardware Configuration] The terminal device 10 and the server device 100 according to the above-described embodiments are realized by a computer 1000 having a configuration as shown in Fig. 8, for example. The following description will be given taking the server device 100 as an example. Fig. 8 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output I / F (Interface) 1060, an input I / F 1070, and a network I / F 1080 are connected via a bus 1090.

[0190] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic device 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

[0191] The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. The secondary storage device 1050 may be an internal storage device or an external storage device. The secondary storage device 1050 may also be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. The secondary storage device 1050 may also be cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

[0192] The output I / F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a display, a projector, a printer, etc., and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (High Definition Multimedia Interface), etc. The input I / F 1070 is an interface for receiving information from various input devices 1020, such as a mouse, a keyboard, a keypad, a button, a scanner, etc., and is realized by a USB, etc.

[0193] Furthermore, the output I / F 1060 and the input I / F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

[0194] The output device 1010 and the input device 1020 may be integrated into one device, such as a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated into one device as an input / output I / F.

[0195] The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

[0196] The network I / F 1080 receives data from other devices via the network N and sends it to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 to other devices via the network N.

[0197] The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I / F 1060 and the input I / F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

[0198] For example, when the computer 1000 functions as the server device 100, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040 to realize the functions of the control unit 130. The arithmetic unit 1030 of the computer 1000 may also load a program acquired from another device via the network I / F 1080 onto the primary storage device 1040 and execute the loaded program. The arithmetic unit 1030 of the computer 1000 may also cooperate with the other device via the network I / F 1080 to call and use the functions and data of a program from another program of the other device.

[0199] [9. Other] Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. Furthermore, the above-described components include those that can be easily imagined by a person skilled in the art, those that are substantially the same, and those that are within the scope of so-called equivalents. Furthermore, the above-described components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the above-described embodiments.

[0200] Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using a known method. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

[0201] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

[0202] For example, the above-mentioned server device 100 may be realized by multiple server computers, and depending on the function, the configuration can be flexibly changed, such as by calling an external platform using an API (Application Programming Interface) or network computing.

[0203] Furthermore, the above-described embodiments and modifications can be combined as appropriate within the scope of not causing any contradiction in the processing content.

[0204] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, an acquisition unit can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]

[0205] 1. Information Processing Systems 10 Terminal Equipment 100 Server device 110 Communications Department 120 Storage section 130 control section 131 Acquisition Department 132 Reception Department 133 Judgment section 134 Verification Department 135 Proposal Department

Claims

1. a determination unit that determines whether a predetermined action that is affected by weather and that was performed on a predetermined date in the previous year or earlier has been successful; a confirmation unit for confirming the weather on a date corresponding to the predetermined date of the current year; a suggestion unit that suggests a schedule for this year that is suitable for the predetermined activity, based on a result of determining whether the predetermined activity will be successful and the weather on the date corresponding to the predetermined date for this year; An information processing device comprising:

2. The suggestion unit suggests performing the predetermined action on the date corresponding to the predetermined date in the current year if the predetermined action performed on the date in the previous year or earlier was successful and if the weather on the date corresponding to the predetermined date in the current year is suitable for the predetermined action.

2. The information processing apparatus according to claim 1, wherein:

3. If the predetermined action taken on the predetermined date in the previous year or earlier was not successful, or if the weather on the date corresponding to the predetermined date in the current year is not suitable for the predetermined action, the suggestion unit suggests taking the predetermined action on a date other than the date corresponding to the predetermined date in the current year when the weather is suitable for the predetermined action.

2. The information processing apparatus according to claim 1, wherein:

4. a receiving unit that receives an evaluation of the success or failure of the predetermined action from a user who has taken the predetermined action in response to the suggestion, The determination unit determines whether the predetermined action has been successful or not based on an evaluation of the success or failure of the predetermined action.

2. The information processing apparatus according to claim 1, wherein:

5. If the predetermined action taken in response to a proposal this year is successful, the proposal unit proposes to register a schedule in order to receive proposals on the dates on which the predetermined action was successful in the next fiscal year and thereafter.

2. The information processing apparatus according to claim 1, wherein:

6. In the case of an initial proposal in which there is no information on the success or failure of the predetermined action in the previous year or earlier, the suggestion unit proposes to perform the predetermined action on a date on which the predetermined action is generally performed and on which the weather is suitable for the predetermined action.

2. The information processing apparatus according to claim 1, wherein:

7. The suggestion unit suggests, as dates suitable for the predetermined action this year, dates for changing clothes, dates suitable for observing plants and animals or natural phenomena, dates for starting to take anti-pollen medicine, dates for switching cosmetics and bedding from summer to winter, dates for using sunscreen, dates for changing tableware, dates for changing car tires, or dates for performing other seasonal actions.

2. The information processing apparatus according to claim 1, wherein:

8. The suggestion unit suggests a schedule for the current year suitable for the predetermined action on a screen of a weather app, a calendar app, or a portal site app having at least one of a weather function and a calendar function when the weather app, a calendar app, or a portal site app having at least one of a weather function and a calendar function is launched.

2. The information processing apparatus according to claim 1, wherein:

9. An information processing method executed by an information processing device, a determining step of determining whether a predetermined action affected by weather performed on a predetermined date in the previous year or earlier has been successful; a confirmation step of confirming the weather on the dates corresponding to the predetermined dates of the current year; a proposing step of proposing a schedule for this year suitable for the predetermined activity according to the result of determining whether the predetermined activity will be successful and the weather on the date corresponding to the predetermined date in this year; An information processing method comprising:

10. a determination procedure for determining the success or failure of a predetermined weather-affected action performed on a predetermined date in the previous year or earlier; A confirmation procedure for checking the weather for the dates corresponding to the predetermined dates for the current year; a proposing step of proposing a schedule for this year suitable for the predetermined action based on the result of the determination of success or failure of the predetermined action and the weather on the date corresponding to the predetermined date for this year; An information processing program characterized by causing a computer to execute the above.

Images