JP2024074018A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

[Problem] To provide an information processing device, an information processing method, and an information processing program capable of determining a user who can appropriately execute a task. [Solution] The information processing device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires context information that is information indicating the context of the user. The determination unit determines a task to be requested to be executed by the user based on the context information acquired by the acquisition unit. [Selected Figure] Figure 4

Description

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

Conventionally, there is known a form of outsourcing in which the execution of a task is entrusted to an unspecified number of people via a network such as the Internet. This form of outsourcing is also called crowdsourcing.

As a crowdsourcing technique, Patent Literature 1 proposes a technique for estimating the amount of free time a user has between a given point in time and a deadline based on the behavioral history of the users who are candidates for performing a task, and for selecting a user who can complete the task by the deadline based on the deadline and the free time.

JP 2022-039121 A

However, in the case of a task in which the user's context is specified as a condition for executing the task, the technology described in Patent Document 1 above will not execute the task properly unless the user satisfies the condition for executing the task. Even if the condition for the user to execute the task is not specified, the task may not be executed properly depending on the user's situation, etc.

The present application has been made in consideration of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can determine a user who can properly execute a task.

The information processing device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires context information that is information indicating a user's context. The determination unit determines a task to be requested to be executed by the user based on the context information acquired by the acquisition unit.

According to one aspect of the embodiment, it is possible to provide an effect of assisting in the proper execution of a task.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. FIG. 5 is a diagram illustrating an example of a user information table stored in a user information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a task information table stored in the task information storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of a task execution result table stored in the task execution result storage unit according to the embodiment. FIG. 8 is a flowchart illustrating an example of information processing by the processing unit of the information processing device according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device and the terminal device according to the embodiment.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. Furthermore, the embodiments can be appropriately combined as long as they do not cause inconsistencies in the processing content. Furthermore, the same parts in the following embodiments will be given the same reference numerals, and duplicated explanations will be omitted.

[1. An example of information processing]
First, an example of information processing according to the embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of information processing according to the embodiment, which is executed by an information processing device 1.

The information processing device 1 shown in FIG. 1 provides various services via a network such as the Internet. The information processing device 1 provides various online services such as a crowdsourcing intermediary service, a web search service, a schedule management service, a route guidance service, a route information service, a video distribution service, a music distribution service, a map information service, and an e-commerce service.

The following mainly describes the crowdsourcing intermediation service among the services provided by the information processing device 1. The crowdsourcing intermediation service is a service that connects the ordering party and the receiving party in crowdsourcing.

Crowdsourcing is a form of outsourcing in which a business operator, researcher, or other party that receives a task outsources the execution of the task to an unspecified number of people via a network such as the Internet, and obtains the results of the task execution. In what follows, the user that places an order in the crowdsourcing intermediation service will be referred to as the "orderer O," and the user that receives the task in the crowdsourcing intermediation service will be referred to as the "user U."

In a crowdsourcing intermediation service, the information processing device 1 receives task information from the client O, including information for causing the user U to execute a task, and requests the user U to execute the task based on the task information, causing the user U to execute the task. The information processing device 1 then receives the results of the task execution by each user U from the terminal device 2 of each user U, and provides the received execution results to the client O.

A task is a task that is executed by a user U using a terminal device 2, such as a questionnaire-type task, annotation, or operation-type task. The terminal device 2 is, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), or a desktop PC, but may also be a wearable device such as VR (Virtual Reality) goggles or a smartwatch.

The task is not limited to the above-mentioned examples, and may be, for example, creating a web page or creating article content such as news. Furthermore, the task may be a task that the user U executes without using the terminal device 2.

A questionnaire-type task is a task that has the user U input answers to each of a number of questions. Examples of questionnaire-type tasks include, but are not limited to, a task that has the user U input answers to questions for a survey of the user U's attitude, a task that has the user U input answers to each of a number of questions that test the user U's knowledge, and a task that includes article content and has the user U input answers to each of a number of questions related to the article content.

Annotation is, for example, the task of tagging data used in machine learning, and is performed, for example, by inputting a tag indicating whether the data contains a specific target, or by selecting a specific target contained in image data. When the terminal device 2 is a smartphone or tablet terminal, the selection of the specific target is performed, for example, by a tap operation on the area of the specific target, an operation of tracing the outer edge of the specific target with a finger or a stylus pen, or an operation of filling in the specific target with a finger or a stylus pen.

In addition, if the terminal device 2 is a notebook PC or a desktop PC, the specific object is selected, for example, by clicking on the area of the specific object, tracing the outer edge of the specific object by moving the cursor, or filling in the specific object by moving the cursor.

An operation-type task is, for example, a task that requires a user interface (UI) operation in content that includes a UI. Operations required in an operation-type task include, for example, a tap operation, a double tap operation, a flick operation, a swipe operation, a pinch operation, etc. when the terminal device 2 is a smartphone or a tablet terminal, and a click operation, a double click operation, a scroll operation, a cursor movement operation, a drag-and-drop operation, etc. when the terminal device 2 is a notebook PC or a desktop PC.

As shown in FIG. 1, the information processing device 1 receives multiple pieces of task information transmitted from the terminal device 3 of the client O (step S1). The multiple pieces of task information received in step S1 may be task information from the same client O, or may be task information from different clients O.

Task information is information for each task, and the information processing device 1 accepts multiple pieces of task information. The task information includes execution information, which includes information for causing the user U to execute the task, and condition information, which indicates the conditions for executing the task.

When the task is a questionnaire-type task, the execution information includes, for example, information indicating the question, a UI in which the user U inputs an answer to the question (hereinafter, the answer UI), and a UI that the user U operates when deciding to send the input answer (hereinafter, the decision UI). The answer UI is, for example, a text box, a check box, a radio button, a combo box, etc., but is not limited to these examples. The decision UI is, for example, a button. When the decision UI is operated, the answer information input by the user U is transmitted from the terminal device 2 to the information processing device 1.

In addition, when the task is an annotation, the execution information includes, for example, the data to be tagged (e.g., image data, document data, sound data, etc.), the UI used to tag the data, the decision UI described above, etc.

When the task is an operational task, the execution information is content including a UI, such as web content or an application program. Web content is, for example, content such as news articles, SNS (Social Networking Service) content, game site content, shopping site content (e.g., a shopping page), and avatars placed in three-dimensional space.

The condition information includes information that specifies the context of user U when performing a task. User U's context is the situation of user U, and includes the situation around user U, the location of user U, user U's state, etc.

The surrounding conditions of user U are the physical environment in which user U is placed, such as the brightness, temperature, humidity, volume and frequency of sound around user U, wind strength, the height and backrest angle of the electric chair in which user U is sitting, and the height of the tabletop of the lift desk being used by user U. In addition, if user U is outdoors, the surrounding conditions of user U also include the weather in the location where user U is located.

The location where user U is located is identified, for example, by the latitude and longitude or the name of the location where user U is currently located. The name of the location where user U is currently located is, for example, a restaurant, park, home, station, hospital, city hall, road, underground passage, train, car, airplane, ship, etc., but is not limited to such examples.

The state of user U includes, for example, the motion state of user U and the emotions of user U. The motion state of user U is, for example, sitting, sleeping, walking, running, standing, etc.

Next, the information processing device 1 acquires context information, which is information indicating the context of the user U (step S2). In step S2, the information processing device 1 acquires the context information, for example, based on the detection information transmitted from the terminal device 2.

The detection information transmitted from the terminal device 2 is, for example, information detected by one or more sensors provided in the terminal device 2. Such detection information includes, for example, information on the brightness, temperature, humidity, volume and frequency of the surroundings of the user U, information indicating the position of the user U, information indicating the attitude of the terminal device 2, etc.

The information processing device 1 acquires information such as the brightness, temperature, humidity, volume and frequency of sound around the user U as context information. In addition, the information processing device 1 estimates the location of the user U, the weather at the location of the user U, the operating state of the user U, the posture of the user U, etc. based on information indicating the position of the user U and information indicating the posture of the terminal device 2, and acquires the estimation results as context information.

For example, when the information processing device 1 determines that the user U is moving on the line at a speed equal to or greater than a preset speed based on information indicating the user U's position included in the detection information, it estimates that the user U is located inside a train.

In addition, when the information processing device 1 determines that user U has remained at the restaurant location for a predetermined period of time or longer based on information indicating the location of user U included in the detection information, it estimates that user U is located inside the restaurant.

When the information processing device 1 determines that the display surface of the terminal device 2 faces downward based on information indicating the posture of the terminal device 2 included in the detection information, the information processing device 1 presumes that the user U is lying on his/her back.When the information processing device 1 determines that the display surface of the terminal device 2 faces horizontally based on information indicating the posture of the terminal device 2 included in the detection information, the information processing device 1 presumes that the user U is standing or sitting.

In addition, the information processing device 1 can estimate the current or future context of user U based on information searched or viewed by user U, information set by user U, and information purchased by user U, and acquire such estimation results as context information.

For example, assume that the information searched or viewed by user U is route information that includes the departure station and arrival station set by user U in the route information service and the searched departure time and arrival time. In this case, the information processing device 1 estimates, based on the route information, that user U is riding a train between the searched departure time and arrival time.

The information viewed by user U is reservation information, which is information on a reservation site and is information about a store reservation made by user U. The reservation information includes information about the reservation target store, which is the store for which the reservation is made, and information about the planned date and time of visit to the reservation target store. In this case, the information processing device 1 estimates, based on such reservation information, that user U will be at the reservation target store indicated in the reservation information for a predetermined period of time from the planned date and time of visit indicated in the reservation information.

In addition, it is assumed that the information set by user U is schedule information set by user U on a schedule management site or terminal device 2. The schedule information includes, for example, information on the location and time that user U plans to go. In this case, the information processing device 1 estimates the current or future context of user U based on the schedule information set by user U.

Also, assume that the information purchased by user U is information about tickets for an event such as a concert or a match. In this case, the information processing device 1 estimates, based on the event ticket information, that user U will be present at the time and place where the event is held.

Then, the information processing device 1 determines a task to be requested to be executed by the user U based on the context information acquired in step S2 (step S3). In step S3, the information processing device 1 determines, for example, from among the multiple tasks accepted in step S1, a task that corresponds to the context indicated by the context information acquired in step S2 as the task to be requested to be executed by the user U.

For example, assume that the context information acquired in step S2 includes information indicating that user U is located inside a restaurant. In this case, the information processing device 1 determines that the task to be requested to be executed by user U is a task whose context, as stipulated in the condition information of the task information, is "inside a restaurant."

Also, assume that the context information acquired in step S2 includes information indicating that user U is on a train. In this case, the information processing device 1 determines that the task to be requested to be executed by user U is a task whose context, as specified by the condition information of the task information, is "on a train."

Also, assume that the context information acquired in step S2 includes information indicating that user U is moving outdoors in the rain. In this case, the information processing device 1 determines that the task to be requested to be executed by user U is a task whose context, as stipulated in the condition information of the task information, is "moving outdoors in the rain."

Also, assume that the context information acquired in step S2 includes information indicating that user U is performing delivery work by bicycle. In this case, the information processing device 1 determines that the task to be requested to be performed by user U is a task whose context, as stipulated in the condition information of the task information, is "performing delivery work by bicycle."

Also, assume that the context information acquired in step S2 includes information indicating that user U is sitting in a chair with the backrest reclined. In this case, the information processing device 1 determines that the task to be requested to be executed by user U is a task whose context, as stipulated in the condition information of the task information, is "sitting in a chair with the backrest reclined."

Also, assume that the context information acquired in step S2 includes information indicating that user U is sitting in a park. In this case, the information processing device 1 determines that the task to be requested to be executed by user U is a task whose context, as stipulated in the condition information of the task information, is "sitting in a park."

Then, the information processing device 1 requests the user U to execute the task determined in step S3 (step S4). In step S4, the information processing device 1 requests the user U to execute the task, for example, by transmitting request information including information indicating an overview of the task determined in step S3 to the terminal device 2 of the user U.

The request information transmitted by the information processing device 1 includes information indicating an overview of the task, as well as information indicating the context defined by the condition information. For example, the request information includes information for displaying the character string "Please perform the task in the restaurant" on the terminal device 2.

When the terminal device 2 receives the request information transmitted from the information processing device 1, it displays the received request information. The request information displayed on the terminal device 2 includes, for example, an acceptance button, and when the acceptance button is selected by the user U by clicking or tapping, the terminal device 2 transmits a task request to the information processing device 1 to enable the user U to execute the task determined in step S3 (step S5).

When the information processing device 1 receives a task request sent from the terminal device 2, it sends the execution information included in the task information to the terminal device 2 of the user U in order to have the user U execute the task specified in the task request (step S6).

When the terminal device 2 receives the execution information transmitted from the information processing device 1, it performs display and the like for the user U to execute the task based on the execution information. This allows the user U to execute the task using the terminal device 2.

Then, the terminal device 2 transmits the result of the task execution by the user U to the information processing device 1 (step S7). If the task is a questionnaire-type task, the result of the task execution includes, for example, information indicating the answers given by the user U to the questions and information on the operation history of the user U. The information on the operation history includes, for example, information indicating the timing and speed of the answers given by the user U to the questions.

Furthermore, if the task is an annotation, the execution result of the task includes, for example, information on tags entered by the user U and information on the operation history by the user U. The operation history information includes, for example, information indicating the speed at which the user U tagged, the position of the tag, the range of the tag, the timing of tagging, etc.

In addition, for example, if the task is an operation-type task, the task execution result includes information on the operation history of the user U. The operation history includes, for example, a history of the contents (e.g., operation position, operation timing, operation speed, operation distance, etc.) of various operations (e.g., tap operation, flick operation, swipe operation, pinch operation, click operation, cursor movement operation, drag-and-drop operation, etc.).

When the information processing device 1 obtains the task execution result from the terminal device 2, it grants a reward to the user U (step S8). The reward granted to the user U may be, for example, electronic money, points, or various benefits. Points are a value that can be used, for example, to purchase products or use services on online sites. Benefits may be, for example, coupons, gift certificates, service vouchers, etc., but are not limited to these examples.

The information processing device 1 rewards the user U, for example, by adding an amount of electronic money corresponding to the task or points corresponding to the task to the user U's account or wallet in the online service. The information processing device 1 also rewards the user U, for example, by transmitting reward information, which is information indicating a benefit, to the terminal device 2 so that it can be displayed on the terminal device 2. The reward may also be cash, in which case the reward is awarded, for example, by depositing cash via a bank account.

For example, the information processing device 1 determines a higher reward to be given to the user U for a task that has been executed less frequently. Information indicating the reward to be given to the user U may be included in the request information. This can increase the likelihood that the task will be executed by the user U.

In addition, the information processing device 1 can also determine the task to be requested to be performed by the user U based on the execution result of the task obtained from the terminal device 2. For example, the information processing device 1 determines the appropriateness of the execution of the task based on the execution result of the task obtained from the terminal device 2. Then, the information processing device 1 determines, as the task to be requested to be performed by the user U, a task for which a higher reward is given to a user U with a high degree of appropriateness compared to a user U with a low degree of appropriateness.

In this way, the information processing device 1 acquires context information, which is information indicating the context of the user U, and determines a task to be requested to be executed by the user U based on the context information. This allows the information processing device 1 to determine a user U who can appropriately execute a task in which the context of the user U is specified as a condition for executing the task.

The following provides a detailed explanation of the configuration of an information processing system that includes the information processing device 1 and terminal devices 2 and 3 that perform such processing. Note that the following does not include an explanation of the processing related to the e-commerce services provided by the information processing device 1 other than the crowdsourcing intermediation service.

2. Configuration of Information Processing System
2 is a diagram showing an example of a configuration of an information processing system according to an embodiment. As shown in FIG. 2, the information processing system 100 according to the embodiment includes an information processing device 1, a plurality of terminal devices 2, and a plurality of terminal devices 3.

The information processing device 1 provides a crowdsourcing intermediation service. The information processing device 1 can also provide various online services such as a web search service, a schedule management service, a route guidance service, a route information service, a video distribution service, a music distribution service, a map information service, and an e-commerce service.

Each of the multiple terminal devices 2 is used by a different user U. Each of the multiple terminal devices 3 is used, for example, by a different orderer O. Each of the terminal devices 2 and 3 is, for example, a smartphone, a tablet terminal, a notebook PC, a desktop PC, etc., but may also be a wearable device such as a smart watch, VR goggles, etc.

The information processing device 1, the terminal device 2, and the terminal device 3 are connected to each other via a network N so that they can communicate with each other by wire or wirelessly. Note that the information processing system 100 shown in FIG. 2 may include multiple information processing devices 1. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Each of the terminal devices 2 and 3 can connect to the network N via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system), or via short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN, and communicate with the information processing device 1.

[3. Terminal device 2]
Fig. 3 is a diagram showing an example of the configuration of the terminal device 2 according to the embodiment. As shown in Fig. 3, the terminal device 2 according to the embodiment includes a communication unit 10, a display unit 11, an operation unit 12, a sensor group 13, a storage unit 14, and a processing unit 15.

3.1. Communication unit 10
The communication unit 10 is realized by, for example, a network interface card (NIC), etc. The communication unit 10 is connected to a network N by wire or wirelessly, and transmits and receives information to and from the information processing device 1 via the network N.

[3.2. Display unit 11
The display unit 11 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display.

[3.3. Operation unit 12
The operation unit 12 includes, for example, a keyboard including keys for inputting letters, numbers, and spaces, an enter key, arrow keys, etc., a mouse, a power button, etc. In the case where the display unit 11 is a touch panel compatible display, The operation unit 12 includes a touch panel.

3.4. Sensor Group 13
The sensor group 13 includes, for example, a temperature sensor, a humidity sensor, an illuminance sensor, a positioning sensor, a microphone, an acceleration sensor, a gyro sensor, a geomagnetic sensor, and an image sensor. The positioning sensor is a position sensor that detects the position of the terminal device 2.

The temperature sensor is a sensor that detects the temperature around the terminal device 2. The humidity sensor is a sensor that detects the humidity around the terminal device 2. The illuminance sensor is a sensor that detects the illuminance around the terminal device 2. The microphone is a sensor that detects the sound around the terminal device 2.

The acceleration sensor is a sensor that detects the acceleration of the terminal device 2. The gyro sensor is a sensor that detects the attitude, such as the tilt and rotation, of the terminal device 2. The geomagnetic sensor is a sensor that detects geomagnetism. The image sensor is a sensor that captures an image of the surroundings of the terminal device 2.

[3.5. Storage unit 14
The storage unit 14 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk.

The memory unit 14 stores, for example, information transmitted from the information processing device 1 and acquired by the processing unit 15 via the network N and the communication unit 10, and detection information, which is information detected by the sensor group 13.

3.6. Processing Unit 15
The processing unit 15 is a controller, and is realized, for example, by a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) by executing various programs stored in a storage device inside the terminal device 2 using the RAM as a working area.

The processing unit 15 may be realized in part or in whole by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The processing unit 15 includes an information acquisition unit 16, a display processing unit 17, and an information output unit 18.

[3.6.1. Information Acquisition Unit 16
The information acquisition unit 16 acquires various pieces of information transmitted from the information processing device 1 and received by the communication unit 10 via the network N. The information transmitted from the information processing device 1 is, for example, the above-mentioned execution information. , request information, and remuneration information. The information acquisition unit 16 also acquires detection information from the sensor group 13, which is information detected by the sensor group 13.

[3.6.2. Display Processing Unit 17]
The display processing unit 17 causes the display unit 11 to display the information acquired by the information acquisition unit 16. For example, the display processing unit 17 causes the display unit 11 to display the execution information, request information, remuneration information, and the like acquired by the information acquisition unit 16.

3.6.3. Information output unit 18
The information output unit 18 transmits, for example, operation information corresponding to an operation on the operation unit 12 by the user U to the information processing device 1 via the communication unit 10. In addition, the information output unit 18 transmits detection information acquired by the information acquisition unit 16 to the information processing device 1 via the communication unit 10.

In addition, assume that while the request information is displayed on the display unit 11, the user U operates the operation unit 12 to select a task that the user U wishes to execute. In this case, the information output unit 18 transmits a task request including information for identifying the task that the user U wishes to execute to the information processing device 1 via the communication unit 10.

For example, if the request information includes multiple tasks that the user U can select, the request information displayed on the display unit 11 includes an acceptance button for each task. When an acceptance button is selected by the user U by clicking or tapping, the information output unit 18 transmits a task request to the information processing device 1, the task request including information for identifying the task corresponding to the acceptance button selected by the user U.

In addition, the information output unit 18 transmits the execution results of the task executed by the user U based on the execution information to the information processing device 1 via the communication unit 10.

4. Configuration of information processing device 1
4 is a diagram showing an example of the configuration of the information processing device 1 according to the embodiment. As shown in FIG. 4, the information processing device 1 includes a communication unit 20, a storage unit 21, and a processing unit 22.

4.1. Communication unit 20
The communication unit 20 is realized by, for example, a NIC. The communication unit 20 is connected to a network N by wire or wirelessly, and transmits and receives information to and from various other devices. For example, the communication unit 20 transmits and receives information to and from the terminal devices 2 and 3 via the network N.

[4.2. Storage unit 21
The storage unit 21 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 21 includes a user information storage unit 30, a task information storage unit 31, and , and a task execution result storage unit 32 .

[4.2.1. User information storage unit 30
The user information storage unit 30 stores various types of information related to the user U. Fig. 5 is a diagram showing an example of a user information table stored in the user information storage unit 30 according to the embodiment.

In the example shown in FIG. 5, the user information table stored in the user information storage unit 30 includes information on items such as "User ID (Identifier)," "Attribute Information," "History Information," "Context Information," and "Settings Information."

"User ID" is an identifier that identifies a user U, and is information assigned to each user U. "Attribute information" is attribute information that indicates the attributes of user U associated with the "user ID." The attributes of user U are, for example, demographic attributes and psychographic attributes. Demographic attributes are demographic attributes, and include multiple attribute items such as age, gender, occupation, place of residence, annual income, and family composition.

Psychographic attributes are psychological attributes and include, for example, multiple attribute items related to lifestyle, values, interests, etc. For example, each of the multiple attribute items in the psychographic attributes is an object of interest to the user U, such as cars, clothes, travel, games, camping, motorcycles, trains, home appliances, or computers.

"History information" is history information that includes information on the behavioral history of user U in online services that is associated with the "user ID." Information on the behavioral history of user U in online services includes, for example, search history information, browsing history information, and transaction history information in online services for user U.

User U's search history information includes, for example, information on the search history by user U in web search services. User U's browsing history information includes, for example, information on the content browsing history by user U in online services. User U's transaction history information includes, for example, information on the product transaction history by user U in online services.

"Context information" is information on the current or future context of user U associated with the "user ID." Such context information includes the context of user U identified based on the detection information transmitted from the terminal device 2, or historical information of the context of user U estimated by the processing unit 22, etc.

The context of user U is the situation of user U, and includes, for example, the situation around user U, the movement state of user U, the posture of user U, the emotions of user U, the current location of user U, the physical environment in which user U is located, etc.

The "settings information" is the settings information of user U associated with the "user ID", such as schedule information set by user U and linked to user U's account.

[4.2.2. Task information storage unit 31]
The task information storage unit 31 stores task information provided by each client O. Fig. 6 is a diagram showing an example of a task information table stored in the task information storage unit 31 according to the embodiment.

In the example shown in FIG. 6, the task information table stored in the task information storage unit 31 includes information on items such as "task ID," "content information," "execution information," "condition information," and "required number of executions."

"Task ID" is an identifier that identifies a task, and is information that is assigned to each task. "Content information" is information that indicates the content of the task associated with the "task ID", and includes, for example, the type of task, an overview of the task, and information on the context when the task is executed. Condition information may be included in the content information. "Execution information" is information that includes information for causing user U to execute the task associated with the "task ID", and is the execution information described above.

"Condition information" is information indicating the conditions for executing a task associated with a "task ID", and is the condition information described above. "Required number of executions" is information indicating the required number of executions of a task associated with a "task ID", and is information set by the client O.

4.2.3. Task execution result storage unit 32
The task execution result storage unit 32 stores the results of the tasks executed by the user U. Fig. 7 is a diagram showing an example of a task execution result table stored in the task execution result storage unit 32 according to the embodiment.

In the example shown in FIG. 7, the task execution result table stored in the task execution result storage unit 32 includes information on items such as "Execution ID," "Task ID," "User ID," "Execution result," and "Context information."

"Execution ID" is an identifier that identifies the execution result of a task, and is information that is assigned to each execution result of a task. "Task ID" is an identifier that identifies the task of the execution result that corresponds to the "Execution ID", and is the same as the task ID shown in Figure 6.

"User ID" is an identifier that identifies the user U who executed the task that is the execution result corresponding to the "Execution ID", and is the same as the user ID shown in Figure 5. "Execution result" is the execution result that corresponds to the "Execution ID". "Context information" is information about the context of user U when user U executed the task that is the execution result that corresponds to the "Execution ID".

4.3. Processing section 22
The processing unit 22 is a controller, and is realized by a processor such as a CPU or an MPU, which executes various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a working area. The processing unit 22 may be realized in part or in whole by an integrated circuit such as an ASIC, an FPGA, or a GPGPU.

As shown in FIG. 4, the processing unit 22 has an acquisition unit 40, a reception unit 41, an estimation unit 42, a determination unit 43, a notification unit 44, a task unit 45, and a reward granting unit 46, and realizes or executes the functions and actions of the information processing described below. Note that the internal configuration of the processing unit 22 is not limited to the configuration shown in FIG. 4, and may be other configurations as long as they perform the information processing described below.

[4.3.1. Acquisition unit 40
The acquisition unit 40 acquires various information from external information processing devices and terminal devices 2 and 3 via the communication unit 20 , and stores the acquired information in the storage unit 21 .

For example, the acquisition unit 40 acquires user information, which is information about the user U, from an external information processing device or terminal device 2, etc., via the communication unit 20, and adds the acquired user information to a user information table in the user information storage unit 30.

The acquisition unit 40 also acquires various types of information from the storage unit 21. For example, the acquisition unit 40 acquires user information, which is information about the user U, from the user information storage unit 30 or the like. The user information acquired by the acquisition unit 40 includes, for example, a part or all of at least one of the above-mentioned attribute information, history information, context information, and setting information.

The acquisition unit 40 also acquires, as context information, information on the context indicated by the detection information transmitted from the terminal device 2 and accepted by the acceptance unit 41. For example, the detection information includes information on the brightness, temperature, humidity, sound volume and frequency of the surroundings of the user U, information indicating the position of the user U, information indicating the posture of the terminal device 2, and the like. The acquisition unit 40 acquires, as context information, information on the brightness, temperature, humidity, sound volume and frequency of the surroundings of the user U indicated by the detection information.

The acquisition unit 40 also acquires task information, which is information about a task to be executed by the user U, from the task information storage unit 31 or the like. The task information acquired by the acquisition unit 40 includes, for example, a part or all of at least one of the above-mentioned information: content information, execution information, condition information, and information on the number of tasks required for execution.

The acquisition unit 40 also acquires information related to the execution results of the task from the task execution result table in the task execution result storage unit 32. The information related to the execution results acquired by the acquisition unit 40 includes, for example, part or all of at least one of the above-mentioned task ID, user ID, execution result, and context information.

4.3.2. Reception unit 41
The reception unit 41 receives various requests and information from external information processing devices and the terminal devices 2 and 3 via the communication unit 20 .

For example, the reception unit 41 receives order information for each task sent from the terminal device 3. The order information includes the above-mentioned task information and information on the required number of executions. The task information includes the above-mentioned execution information, condition information, and content information.

As described above, the execution information includes information for causing the user U to execute a task. As described above, the condition information includes information that specifies the context of the user U when executing a task. The context of the user U is the situation of the user U, and includes the situation around the user U. The content information includes information indicating the content of the task (e.g., the type of task, an overview of the task, information on the context when the task is executed, etc.). The condition information may be included in the content information. The reception unit 41 adds the received order information to the task information table of the task information storage unit 31.

The reception unit 41 also receives the execution result sent from the terminal device 2. Such an execution result is the execution result of the task by the user U. The reception unit 41 adds the received execution result to a task execution result table in the task execution result storage unit 32.

The reception unit 41 also receives a task list request sent from the terminal device 2. The task list request includes, for example, a user ID. Such a task list request is sent from the terminal device 2 to the information processing device 1 when the user U operates the terminal device 2 and wishes to display a list of tasks.

The reception unit 41 also receives a task request sent from the terminal device 2. The task request includes, for example, a user ID and a task ID. Such a task request is sent from the terminal device 2 to the information processing device 1 when the user U operates the terminal device 2 to select a task that he or she wishes to execute.

The reception unit 41 also receives the above-mentioned detection information from the terminal device 2 via the communication unit 20. The detection information includes information detected by each of the multiple sensors included in the sensor group 13 of the terminal device 2.

[4.3.3. Estimation unit 42
The estimation unit 42 estimates the current or future context of the user U based on, for example, the detection information accepted by the acceptance unit 41 or the user information acquired by the acquisition unit 40 .

The user information acquired by the acquisition unit 40 includes information searched or viewed by the user U, future information set by the user U, etc. The information searched or viewed by the user U is information included in the history information, and the future information set by the user U is information included in the setting information described above.

The estimation unit 42 estimates the current or future context of the user U, for example, based on the detection information received by the reception unit 41. For example, the estimation unit 42 estimates the location of the user U, the operating state of the user U, the posture of the user U, etc., based on information indicating the position of the user U and information indicating the posture of the terminal device 2, etc., contained in the detection information.

For example, when the estimation unit 42 determines that the user U is moving on the line at a speed equal to or greater than a preset speed based on information indicating the user U's position included in the detection information, the estimation unit 42 estimates that the user U is located inside a train.

In addition, when the estimation unit 42 determines that the user U has remained at the restaurant location for a predetermined period of time or longer based on information indicating the location of the user U included in the detection information, the estimation unit 42 estimates that the user U is located inside the restaurant.

When the estimation unit 42 determines that the display surface of the terminal device 2 faces downward based on information indicating the attitude of the terminal device 2 included in the detection information, the estimation unit 42 estimates that the user U is lying on his/her back. When the estimation unit 42 determines that the display surface of the terminal device 2 faces horizontally based on information indicating the attitude of the terminal device 2 included in the detection information, the estimation unit 42 estimates that the user U is standing or sitting.

The estimation unit 42 also estimates the current or future context of user U based on the information searched or viewed by user U, the information set by user U, and the information purchased by user U.

For example, assume that the information searched or viewed by user U is route information that includes the departure station and arrival station set by user U in the route information service and the searched departure time and arrival time. In this case, the estimation unit 42 estimates that user U is on a train between the searched departure time and arrival time based on the route information.

In addition, it is assumed that the information viewed by user U is reservation information, which is information on a reservation site and is information about a store reservation made by user U. In this case, the estimation unit 42 estimates, based on the reservation information, that user U will be at the reserved store for a predetermined period of time from the date and time of user U's store reservation.

The information viewed by user U is reservation information, which is information on a reservation site and is information about a store reservation made by user U. The reservation information includes information about the reservation target store, which is the store for which the reservation is made, and information about the planned date and time of visit to the reservation target store. In this case, the estimation unit 42 estimates, based on such reservation information, that user U will be at the reservation target store indicated in the reservation information for a predetermined period of time from the planned date and time of visit indicated in the reservation information.

Also, assume that the information purchased by user U is information about tickets for an event such as a concert or a match. In this case, the estimation unit 42 estimates, based on the event ticket information, that user U will be present at the time and place where the event is held.

The estimation unit 42 also estimates the current or future context of user U based on the future information set by user U. For example, the future information set by user U is schedule information set by user U on a schedule management site or on the terminal device 2. The schedule information includes, for example, information on the location and time that user U plans to go. In this case, the estimation unit 42 estimates the current or future context of user U based on the schedule information set by user U.

The estimation unit 42 adds the estimated context information to the user information table in the user information storage unit 30.

4.3.4. Determination unit 43
Based on the context information acquired by the acquisition unit 40, the determination unit 43 determines, for each user U, a task to be requested to be executed by the user U from among the multiple tasks indicated by the multiple task information received by the reception unit 41.

The determination unit 43 determines, for each user U, for example, from among the multiple tasks indicated by the multiple task information, a task for which a context corresponding to the context of user U indicated by the context information acquired by the acquisition unit 40 is specified in the condition information as a task to be requested to be executed by user U.

For example, assume that the context information acquired by the acquisition unit 40 includes information indicating that the user U is located inside a restaurant. In this case, the determination unit 43 determines that the task to be requested to be executed by the user U is a task whose context, as stipulated in the condition information of the task information, is "inside a restaurant."

In addition, it is assumed that the context information acquired by the acquisition unit 40 includes information indicating that the user U is on a train. In this case, the determination unit 43 determines that the task to be requested to be executed by the user U is a task whose context, as specified by the condition information of the task information, is "on a train."

Also, assume that the context information acquired by the acquisition unit 40 includes information indicating that the user U is moving outdoors in the rain. In this case, the determination unit 43 determines that the task to be requested to be executed by the user U is a task whose context, as stipulated in the condition information of the task information, is "moving outdoors in the rain."

In addition, it is assumed that the context information acquired by the acquisition unit 40 includes information indicating that the user U is performing delivery work by bicycle. In this case, the determination unit 43 determines that the task to be requested to be performed by the user U is a task in which the context defined by the condition information of the task information is "performing delivery work by bicycle."

Also, assume that the context information acquired by the acquisition unit 40 includes information indicating that the user U is sitting in a chair with the backrest reclined. In this case, the determination unit 43 determines that the task to be requested to be executed by the user U is one in which the context defined by the condition information of the task information is "sitting in a chair with the backrest reclined."

Also, assume that the context information acquired by the acquisition unit 40 includes information indicating that the user U is sitting in a park. In this case, the determination unit 43 determines that the task to be requested to be executed by the user U is a task whose context, as specified by the condition information of the task information, is "sitting in a park."

In addition, when all of the contexts specified in the condition information of the task information are included in the context indicated by the context information acquired by the acquisition unit 40, the determination unit 43 determines the task in the task information as the task to be requested to be executed by the user U, but this is not limited to this example.

For example, when a part of the context defined in the condition information of the task information is included in the context indicated by the context information acquired by the acquisition unit 40, the determination unit 43 can determine that the task in the task information is the task to be requested to be executed by the user U.

The determination unit 43 can also determine the task to be requested to be performed by the user U based on the past execution results of the task of the user U acquired by the acquisition unit 40. For example, the determination unit 43 judges the appropriateness of the execution of the task based on the past execution results of the task of the user U acquired by the acquisition unit 40. Then, the determination unit 43 determines, as the task to be requested to be performed by the user U, a task for which a higher reward is given to a user U with a high appropriateness compared to a user U with a low appropriateness.

For example, if the task is a questionnaire-type task, the appropriateness of task execution is determined to be higher the closer the answering speed to the questions is to a predetermined range. The appropriateness of task execution is highest when the answering speed is within the predetermined range. The predetermined range is set automatically or manually, for example, based on the history of the answering speeds to the questions by multiple users U. The predetermined range is, for example, a range of 1σ standard deviation, but is not limited to such an example and can be set in various ways.

In addition, when the task is a questionnaire-type task, the appropriateness of task execution is determined to be lower, for example, the more outliers there are in the answers to questions posed by user U. An outlier answer is an answer that does not fall into any of the multiple options when the answer is an answer selected from multiple options, but it may also be a statistical outlier.

In addition, for example, when the task is annotation, the appropriateness of task execution is determined to be higher the closer the tagging speed is to a predetermined range. The appropriateness of task execution is highest when the tagging speed is within a predetermined range. The predetermined range is set automatically or manually, for example, based on the history of tagging speeds by multiple users U. The predetermined range is, for example, a range of 1σ standard deviation, but is not limited to such an example and can be set in various ways.

In addition, when the task is an annotation, the appropriateness of task execution is determined to be lower, for example, the more outliers the tagging by user U has. When the task is an annotation, an outlier is, for example, unexpected tag information, such as when the size of the tagged range is not within a predetermined range of sizes, or when the tag is selected from options and does not fall into any of the multiple options.

In addition, for example, in the case of an operation-type task, the appropriateness of task execution is determined to be higher the closer the number of operations is to a predetermined range. The appropriateness of task execution is highest when the number of operations is within a predetermined range. The predetermined range is set automatically or manually, for example, based on the history of the number of operations by multiple users U. The predetermined range is, for example, a range of a standard deviation of 1σ, but is not limited to such an example and can be set in various ways. In the case of a task with multiple types of operations, the appropriateness of task execution is determined by weighting the appropriateness of the number of operations for each type.

The determination unit 43 can also determine the appropriateness of task execution using an appropriateness estimation model that receives the task execution result as input and outputs the above-mentioned appropriateness. The appropriateness estimation model is generated, for example, by machine learning using learning data including the task execution result and the presence or absence of the legitimacy of the task execution.

The legitimacy of execution is deemed valid, for example, if user U performs the task sincerely, and invalid, if user U performs the task without sincerity. Performing a task sincerely can also be said to be performing the task appropriately, and performing a task without sincerity can also be said to be performing the task inappropriately.

In the case of a question-type task, performing a task carelessly means, for example, answering the questions without looking at them or answering them automatically using program code, and in the case of an annotation task, tagging without looking at the instructions indicated in the execution information. In the case of an operation-type task, performing a task carelessly means operating without looking at the instructions indicated in the execution information or performing an abnormally large or small number of operations. Performing a task carelessly also includes abandoning a task midway.

In the above example, a case where a task is not performed carelessly is illustrated, and learning data is generated assuming that a task is performed seriously when the task is not performed carelessly, but a case where a task is performed seriously may also be illustrated. In this case, learning data may be generated assuming that a task is performed carelessly when the task is not performed seriously.

In the machine learning of the appropriateness estimation model, the legitimacy of the execution of a task in the learning data is used as a tag (label), and such a tag is attached, for example, by the task to be executed by the user U, but is not limited to such an example.

The determination unit 43 can also determine the appropriateness of a task based on detection information output from the terminal device 2 when the user U performs the task. For example, the determination unit 43 determines the direction of the user U's face or the direction of the user U's gaze in a captured image based on information about the captured image included in the detection information.

The determination unit 43 determines that the appropriateness of task execution is higher when the ratio of the direction of the user U's face or the direction of the user U's gaze that is directed toward the terminal device 2 (e.g., the ratio to the task execution time) is closer to a predetermined range (e.g., a range equal to or greater than a threshold). Note that the appropriateness of task execution is highest when the ratio of the direction of the user U's face or the direction of the user U's gaze that is directed toward the terminal device 2 is within a predetermined range.

The determination unit 43 can determine, for example, as the task to be requested to be executed by the user U, a task with the highest appropriateness above a threshold, a task selected randomly from among tasks with appropriateness above a threshold, or a task with the lowest execution frequency or the lowest number of executions from among tasks with appropriateness above a threshold.

A task that is executed infrequently is, for example, a task that is executed a small number of times per unit time, or a task in which the ratio of the number of executions to the number of executions required is less than the ratio of the elapsed period to the execution result collection period. The execution result collection period is the period from when it becomes possible to request user U to execute a task to when the request to user U to execute the task is completed, and is set, for example, by the client O. The elapsed period is the time that has elapsed from when it becomes possible to request user U to execute a task to the present time. A task that is executed infrequently is a task in which the ratio of the number of executions to the number of executions required is small.

Furthermore, when a context is defined as a range in the condition information included in the task information, the determination unit 43 determines that the closer the context is to the median of the defined range, the higher the matching score, and prioritizes users U with higher matching scores as the performer of the task corresponding to the task information. "Priority" means that there is a high probability of being determined, and users U with higher matching scores are more likely to be determined as the performer of the task. The matching score is determined by the determination unit 43.

Furthermore, when the context is defined by multiple items in the condition information included in the task information, the determination unit 43 can also use the overall score to determine the executor of the task. For example, when the context defined in the condition information is "temperature is 23 degrees to 30 degrees and illuminance is 150 to 300 lux," the "items" of the context are "temperature" and "illuminance." The determination unit 43 can determine the average or total value of the matching scores of each item as the overall score, and give priority to users U with higher overall scores when determining who will executor the task corresponding to the task information.

The determination unit 43 can also, for example, determine the number of times that the context defined by the condition information included in the task information matches the context in which the user U previously executed a task based on information about the user U's past context, and determine the user U to execute the task corresponding to the task information with a higher priority based on the number of times that the context matches.

The determination unit 43 can also, for example, prioritize users U with higher appropriateness as described above in determining who will perform the task corresponding to the task information.

[4.3.5. Notification unit 44
For example, when the receiving unit 41 receives a task list request, the notification unit 44 notifies the user of the task list by transmitting task list information via the communication unit 20 to the terminal device 2 that is the sender of the task list request. The task list information is notified to the user U.

The task list information is information showing a list of tasks determined by the determination unit 43, and is information that allows the user U to select a desired task, and is request information that is notified to the user U to request the execution of a task determined by the determination unit 43. The request information includes, for example, multiple acceptance buttons, and the user U can execute a desired task by selecting the acceptance button for the desired task from among the multiple acceptance buttons.

When the determination unit 43 determines multiple tasks as tasks to be requested to be executed by the user U, the notification unit 44 can generate task list information that arranges the multiple tasks in an order according to a predetermined criterion, for example.

For example, the notification unit 44 can generate task list information in which a number of tasks are arranged in order of the reward in points. The task with the highest reward in points is ranked highest, and the order of tasks decreases as the reward in points decreases.

The higher the ranking of a task, the more easily it is placed in a position that is easy for the user U to see. For example, if the task list information is information in which multiple tasks are arranged vertically, the topmost position is the topmost position, and the lower the position, the lower the ranking.

The notification unit 44 can also generate task list information in which a plurality of tasks are arranged in order of the earliest timing at which the context of the user U becomes the context specified by the condition information. The task with the earliest timing at which the context of the user U becomes the context specified by the condition information has the highest priority, and the later the timing at which the context of the user U becomes the context specified by the condition information, the lower the task order becomes.

In addition, each time the determination unit 43 determines a task to be executed by the user U, the notification unit 44 can also request the user U to execute the task by transmitting, to the user U, request information to be notified to the user U in order to request the user U to execute the task determined by the determination unit 43.

The request information includes information indicating an overview of the task, as well as information indicating the context defined by the condition information. For example, the request information includes information for displaying the character string "Please perform the task in the restaurant" on the terminal device 2.

The request information may also include, for example, information indicating that the future context of user U is estimated to match the context specified in the condition information, or information indicating the time period, date and time during which the future context of user U is estimated to match the context specified in the condition information.

In addition, when the execution of a task by the user U is completed, the notification unit 44 can also suggest the execution of a task with a context that is the same as or similar to the context specified in the task information of the task executed by the user U.

The timing at which the notification unit 44 sends the request information may be, for example, a match timing at which the context of the user U matches the context specified in the condition information, or a timing immediately before the timing predicted to be the match timing.

[4.3.6. Task section 45]
The task unit 45 causes the user U to execute a task based on the task information. The task unit 45 causes the user U to execute a task by transmitting execution information included in the task information to the terminal device 2 of the user U.

For example, when a task request is accepted by the accepting unit 41, the task unit 45 causes the user U to execute the task by transmitting the execution information included in the task information of the task specified in the task request to the terminal device 2 of the user U.

In addition, if the situation around the user U becomes outside a predetermined range from the situation defined by the task information while the user U is executing the task, the task unit 45 can cause the user U to stop executing the task. The task execution is stopped, for example, by sending a stop command to the terminal device 2 and causing the terminal device 2 to stop processing based on the execution information.

The task unit 45 can also cause the user U to suspend the execution of a task if the situation around the user U becomes outside a predetermined range from the situation defined by the task information while the user U is executing the task. The suspension of the execution of the task is performed, for example, by sending an interruption command to the terminal device 2 and causing the terminal device 2 to suspend processing based on the execution information.

When the situation around the user U subsequently becomes one specified by the task information, the task unit 45 can send a resume command to the terminal device 2, causing the terminal device 2 to resume processing based on the execution information and allowing the user U to resume execution of the task.

In addition, the task unit 45 can stop the launch or execution of other application programs that are not necessary for the execution of the execution information on the terminal device 2 while the user U is executing a task by sending a stop command, prohibition command, or the like to the terminal device 2.

4.3.7. Reward Granting Unit 46
The reward granting unit 46 grants a reward to the user U when the execution result is accepted by the accepting unit 41.

The reward given to the user U may be, for example, electronic money, points, or various benefits. Points are a value that can be used, for example, to purchase products or use services on online sites. Benefits may be, for example, coupons, gift certificates, service vouchers, etc., but are not limited to these examples.

The reward granting unit 46 grants a reward to the user U who performed the task, for example, by adding an amount of electronic money or points corresponding to the task to the account or wallet of the user U who performed the task in the online service. The reward granting unit 46 also grants a reward to the user U who performed the task, for example, by transmitting reward information, which is information indicating a benefit, to the terminal device 2 so that the reward information can be displayed on the terminal device 2. The reward may also be cash, in which case the reward granting unit 46 grants the reward to the user U, for example, by depositing cash via a bank account.

The reward granting unit 46 determines a higher reward to be granted to the user U, for example, for a task that is executed less frequently or fewer times in absolute or relative terms. A task that is executed relatively fewer times is, for example, a task in which the ratio of the number of executions to the number of executions required is less than the ratio of the elapsed period to the execution result collection period.

For example, in the case of electronic money, the larger the amount, the higher the reward, and in the case of points or benefits, the larger the amount when converted into cash, the higher the reward. Information indicating the reward to be granted to user U may be included in the request information. This can increase the likelihood that user U will complete the task.

5. Processing Procedure
Next, a procedure of information processing by the processing unit 22 of the information processing device 1 according to the embodiment will be described. Fig. 8 is a flowchart showing an example of information processing by the processing unit 22 of the information processing device 1 according to the embodiment.

As shown in FIG. 8, the processing unit 22 of the information processing device 1 determines whether or not task information transmitted from the terminal device 3 has been acquired (step S10). When the processing unit 22 determines that task information has been acquired (step S10: Yes), it stores the acquired task information in the storage unit 21 (step S11).

When the processing of step S11 is completed or when it is determined that task information has not been acquired (step S10: No), the processing unit 22 determines whether or not the estimation timing has arrived (step S12). The estimation timing is, for example, a timing that occurs at every predetermined period or a timing each time task information is acquired, but is not limited to such examples.

When the processing unit 22 determines that the estimation timing has arrived (step S12: Yes), it estimates the context of each user U (step S13). When the processing of step S13 has ended, or when the processing unit 22 determines that the estimation timing has not arrived (step S12: No), it determines whether the task notification timing has arrived (step S14). The task notification timing is, for example, a timing that arrives at every predetermined period, or a timing each time task information is acquired, but is not limited to such examples.

When the processing unit 22 determines that the task notification timing has arrived (step S14: Yes), it acquires context information from the storage unit 21 (step S15). Then, the processing unit 22 determines a task to be requested of the user U based on the context information acquired in step S15 (step S16), and requests the user U to execute the determined task (step S17).

When the processing of step S17 is completed or when it is determined that the task notification timing has not arrived (step S14: No), the processing unit 22 determines whether or not a task request has been accepted (step S18). When the processing unit 22 determines that a task request has been accepted (step S18: Yes), it transmits execution information included in the task information of the task specified by the accepted task request (step S19).

When the processing of step S19 is completed or when it is determined that a task request has not been received (step S18: No), the processing unit 22 determines whether or not the execution result transmitted from the terminal device 2 that transmitted the execution information in step S19 has been received (step S20). When the processing unit 22 determines that the execution result has been received (step S20: Yes), it grants a reward to the user U of the terminal device 2 that transmitted the execution result (step S21).

When the processing of step S21 is completed or when it is determined that the execution result has not been received (step S20: No), the processing unit 22 determines whether or not the operation end timing has arrived (step S22). The processing unit 22 determines that the operation end timing has arrived, for example, when the power supply of the information processing device 1 is turned off.

If the processing unit 22 determines that the operation end time has not yet arrived (step S22: No), it transitions to step S10, and if it determines that the operation end time has arrived (step S22: Yes), it terminates the processing shown in FIG. 8.

[6. Other]
Models such as the above-mentioned suitability estimation model are generated by machine learning using neural networks such as, for example, convolutional neural networks, recurrent neural networks, or deep neural networks, but are not limited to such examples.

For example, instead of a neural network, the learning model may be generated using machine learning with a learning algorithm such as a gradient boosting decision tree (GBDT), linear regression, or logistic regression.

The context also includes, for example, a state in which a user U is using specific content. The specific content is, for example, content having a function for viewing article content, uploading captured images (photos), and content having a function for organizing captured images (photos), but is not limited to such examples.

The context specified by the condition information may also be, for example, a context in which another task is being executed. For example, the context specified by the condition information may be a context in which a specific task is being executed or a context in which a specific type of task is being executed.

Furthermore, when the context specified by the condition information is "within a specific location," the estimation unit 42 can estimate whether or not the user U can go to the specific location within a predetermined period of time based on the distance from the position of the user U specified by the detection information transmitted from the terminal device 2 to the specific location. When the estimation unit 42 determines that the user U can go to the specific location, the notification unit 44 can include information of a task specified to be performed at a specific location in the request information. In this case, the notification unit 44 can include information such as the character string "Could you please go to a specific store?" in the request information.

The processing unit 22 can also function as a determination unit that determines, as target content, content for which a user U, whose context matches the context specified by the condition information and who is using the content, can execute a task while using the terminal device 2 (e.g., while browsing, listening, or operating). While using the content means, for example, the period from when the content usage starts to when the usage ends. The task unit 45 can make the user U execute a task by transmitting task execution information to the terminal device 2 of the user U who is executing the target content. In this case, the processing unit 22 can transmit notification information including information of the character string "Actually, I was working on a task. If you press the button to send the execution result of this task, I will give you 100 points" and information of the send button to send the execution result of the task to the terminal device 2 of the user U who has finished executing the task.

The notification unit 44 can also transmit, for example, request information to the terminal device 2 of the user U who has executed the task, requesting the execution of an additional task. Such request information includes, for example, information indicating an overview of the additional task and information on an acceptance button. The notification unit 44 can also transmit, for example, request information to request the execution of an additional task only to the terminal device 2 of a user U who is in a context such as "not immersed in the original experience of the site" or "killing time."

Furthermore, the task may be a task of reading article content, a task of operating a camera (image sensor), a task of organizing photos, etc. The execution result of the task of reading article content is, for example, the time that user U reads the article content, the position or timing at which user U tapped on the article content, the position, timing, or speed at which user U flicked on the article content, etc.

In addition, the results of executing a task that operates the camera (image sensor) include the timing from when the image sensor is started to when an image is captured, the gaze position when capturing an image, the angle (posture) of the terminal device 2 (image sensor), the number of times images are captured, the interval between images captured, processing operations, etc.

In the above example, the determination unit 43 determines a task in which a context corresponding to the context of the user U is specified in the condition information as a task to be requested to be executed by the user U, but this is not limited to the example. For example, the determination unit 43 can also determine a task in which a context corresponding to the context of the user U does not satisfy a predetermined exclusion condition as a task to be requested to be executed by the user U.

The exclusion condition is a condition for excluding cases in which the user U's situation does not allow the task to be executed appropriately, and is, for example, a condition that the user U is running, a condition that the user U is vibrating at a threshold or higher, a condition that the illuminance around the user U is at a threshold or higher, etc., but is not limited to such examples.

In addition, when the task information includes condition information, the determination unit 43 can determine the degree of agreement between the context estimated by the estimation unit 42 as the context of the user U when the user U is performing the task and the context specified in the condition information of the task information as the appropriateness. The "degree of agreement" is, for example, a value in the range of 0 to 1.

For example, if the context specified by the condition information of the task information is "inside a restaurant" and the estimated context is "inside a restaurant", the degree of match is "1". If the context specified by the condition information of the task information is "moving outdoors in the rain" and the estimated context is "stopped outdoors in the rain", one of the two items matches, so the degree of match is "0.5". Note that if the context specified by the condition information is specified by multiple items, the value obtained by adding up the values for each item is calculated as the degree of match. The values for each item may be the same or different.

7. Hardware Configuration
Each of the information processing device 1 and the terminal device 2 according to the embodiment described above is realized by a computer 200 having a configuration as shown in Fig. 9. Fig. 9 is a hardware configuration diagram showing an example of the computer 200 that realizes each function of the information processing device 1 and the terminal device 2 according to the embodiment. The computer 200 has a CPU 201, a RAM 202, a ROM (Read Only Memory) 203, a HDD (Hard Disk Drive) 204, a communication interface (I/F) 205, an input/output interface (I/F) 206, and a media interface (I/F) 207.

The CPU 201 operates based on a program stored in the ROM 203 or the HDD 204, and controls each component. The ROM 203 stores a boot program executed by the CPU 201 when the computer 200 is started, and programs that depend on the hardware of the computer 200.

The HDD 204 stores programs executed by the CPU 201 and data used by such programs. The communication interface 205 receives data from other devices via the network N (see FIG. 2) and sends it to the CPU 201, and transmits data generated by the CPU 201 to other devices via the network N.

The CPU 201 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse, via the input/output interface 206. The CPU 201 acquires data from the input devices via the input/output interface 206. The CPU 201 also outputs data generated via the input/output interface 206 to the output devices.

The media interface 207 reads a program or data stored in the recording medium 208 and provides it to the CPU 201 via the RAM 202. The CPU 201 loads the program from the recording medium 208 onto the RAM 202 via the media interface 207 and executes the loaded program. The recording medium 208 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

For example, when the computer 200 functions as the information processing device 1 or terminal device 2 according to the embodiment, the CPU 201 of the computer 200 executes a program loaded onto the RAM 202 to realize the functions of the processing unit 22 or processing unit 15. In addition, the HDD 204 stores data in the memory unit 21 or memory unit 14. The CPU 201 of the computer 200 reads and executes these programs from the recording medium 208, but as another example, these programs may be obtained from another device via the network N.

[8. Other]
In addition, 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 by 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 arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

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

For example, the information processing device 1 described above 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 or network computing.

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

9. Effects
As described above, the information processing device 1 according to the embodiment includes an acquisition unit 40 that acquires context information that is information indicating the context of a user U, and a determination unit 43 that determines a task to be executed by the user U based on the context information acquired by the acquisition unit 40. This allows the information processing device 1 to determine a user U who can appropriately execute a task.

The information processing device 1 also includes a reception unit 41 that receives task information for each task, including information for causing the user U to execute the task and information defining the context when the task is executed, and the determination unit 43 determines, from among the multiple tasks indicated by the task information received by the reception unit 41, a task that corresponds to the context indicated by the context information acquired by the acquisition unit 40, as the task to be requested to be executed by the user U. This allows the information processing device 1 to determine a user U who can appropriately execute a task in a state that corresponds to the context defined by the task information.

The information processing device 1 includes an estimation unit 42 that estimates the current or future context of the user U based on information detected by one or more sensors provided in the terminal device 2 of the user U, and the acquisition unit 40 acquires information indicating the context estimated by the estimation unit 42 as context information. This allows the information processing device 1 to more appropriately determine a user U who can appropriately execute a task.

The information processing device 1 includes an estimation unit 42 that estimates the current or future context of the user U based on information searched or viewed by the user U, and the acquisition unit 40 acquires information indicating the context estimated by the estimation unit 42 as context information. This allows the information processing device 1 to more appropriately determine a user U who can appropriately execute a task.

The information processing device 1 includes an estimation unit 42 that estimates the current or future context of the user U based on information about a schedule set by the user U, and the acquisition unit 40 acquires information indicating the context estimated by the estimation unit 42 as context information. This allows the information processing device 1 to more appropriately determine a user U who can appropriately execute a task.

The information processing device 1 includes a reward granting unit 46 that determines a reward to be granted to the user U when the user U executes the task determined by the determination unit 43. This allows the information processing device 1 to grant a reward to the user U who properly executes the task.

The reward granting unit 46 determines a higher reward to be granted to the user U the fewer the number of times the task determined by the determination unit 43 has been executed. This enables the information processing device 1 to have the user U execute a task that has been executed less frequently with priority.

The task is a task that is executed using the terminal device 2 of the user U. This allows the information processing device 1 to more appropriately determine a user U who can appropriately execute a task that the user U executes using the terminal device 2.

The information processing device 1 also includes a task unit 45 that causes the user U to execute the task determined by the determination unit 43, and the determination unit 43 determines the task to be requested to be executed by the user U based on the result of the execution of the task by the user U. This allows the information processing device 1 to more appropriately determine a user U who can appropriately execute the task.

REFERENCE SIGNS LIST 1 Information processing device 2, 3 Terminal device 10, 20 Communication unit 11 Display unit 12 Operation unit 13 Sensor group 14, 21 Storage unit 15, 22 Processing unit 16 Information acquisition unit 17 Display processing unit 18 Information output unit 30 User information storage unit 31 Task information storage unit 32 Task execution result storage unit 40 Acquisition unit 41 Reception unit 42 Estimation unit 43 Determination unit 44 Notification unit 45 Task unit 46 Reward grant unit 100 Information processing system N Network

Claims (11)

An acquisition unit that acquires context information that is information indicating a context of a user;
a determination unit that determines a task to be executed by the user based on the context information acquired by the acquisition unit. a receiving unit that receives task information for each of the tasks, the task information including information for causing a user to execute a task and information defining a context for executing the task;
The determination unit is
The information processing device according to claim 1, characterized in that, among the multiple tasks indicated by the task information accepted by the accepting unit, a task corresponding to the context indicated by the context information acquired by the acquiring unit is determined as the task to be requested to be executed by the user. An estimation unit that estimates a current or future context of the user based on information detected by one or more sensors provided in the terminal device of the user,
The acquisition unit is
The information processing apparatus according to claim 1 , further comprising: acquiring information indicating the context estimated by the estimation unit as the context information. An estimation unit that estimates a current or future context of the user based on information searched or viewed by the user,
The acquisition unit is
The information processing apparatus according to claim 1 , further comprising: acquiring information indicating the context estimated by the estimation unit as the context information. an estimation unit that estimates a current or future context of the user based on information of a schedule set by the user;
The acquisition unit is
The information processing apparatus according to claim 1 , further comprising: acquiring information indicating the context estimated by the estimation unit as the context information. The information processing apparatus according to claim 1 , further comprising a reward granting unit that determines a reward to be granted to the user when the user executes the task determined by the determination unit. The reward granting unit:
The information processing apparatus according to claim 6 , wherein the determination unit determines a higher reward to be given to the user as the number of times the task determined by the determination unit has been executed is smaller. The task is:
The information processing apparatus according to claim 1 , wherein the task is executed using a terminal device of the user. a task unit that causes the user to execute the task determined by the determination unit,
The determination unit is
The information processing apparatus according to claim 8 , further comprising: determining a task to be requested to be executed by the user based on a result of execution of the task by the user. 1. A computer-implemented information processing method, comprising:
An acquisition step of acquiring context information which is information indicating a context of a user;
a determining step of determining a task to be executed by the user based on the context information acquired by the acquiring step. An acquisition step of acquiring context information which is information indicating a context of a user;
a determination step of determining a task to be executed by the user based on the context information acquired by the acquisition step.

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