JP2024074177A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an information processing device, information processing method, and information processing program, which enable facilitation of crowdsourcing.SOLUTION: An information processing device disclosed herein comprises an acquisition unit and determination unit. The acquisition unit acquires an execution result of a task executed by a user using a terminal device and detection information detected by one or more sensors during execution of the task by the user. The determination unit determines validity of the execution of the task by the user on the basis of at least either of the execution result acquired by the acquisition unit and the detection information.SELECTED DRAWING: 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, the technology described in Patent Document 1 is limited to selecting users to perform tasks, and there is room for improvement in terms of further promoting crowdsourcing. For example, in crowdsourcing, tasks are requested from an unspecified number of users, and some users may not perform the tasks seriously. As a result, the task execution results obtained from users may include inappropriate execution results, which may hinder the promotion of crowdsourcing.

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 promote crowdsourcing.

The information processing device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires a result of a task executed by a user using a terminal device, and detection information, which is information detected by one or more sensors and is information at the time when the task is executed by the user. The determination unit determines whether or not the execution of the task by the user is legitimate, based on at least one of the execution result and the detection information acquired by the acquisition unit.

According to one aspect of the embodiment, it is possible to promote crowdsourcing.

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.

Then, the information processing device 1 requests the user U to execute a task corresponding to the task information acquired in step S1 (step S2). For example, when the user U accesses the information processing device 1 using the terminal device 2, the information processing device 1 requests the user U to execute a task corresponding to the task information acquired in step S1 by sending, to the terminal device 2, request information including list information including information showing a list of tasks corresponding to the task information acquired in step S1.

The request information transmitted by the information processing device 1 includes information indicating an overview of the task corresponding to the task information acquired in step S1, and information indicating the context defined by the condition information included in the task 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 for each task, and when such an acceptance button is selected by the user U by clicking or tapping, the terminal device 2 transmits a task request including information for identifying the task corresponding to the selected acceptance button to the information processing device 1 (step S3).

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 specified in the task request 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 S4).

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.

In addition, when the user U is executing a task, the terminal device 2 acquires detection information about the execution of the task by the user U. The execution of the task is the period from when the task becomes executable to when the execution of the task is completed, but it may also be the period from when the execution information described below is received by the terminal device 2 to when the execution result described below is transmitted from the terminal device 2.

The detection information acquired by the terminal device 2 is, for example, one or both of information detected by one or more sensors provided in the terminal device 2 and information detected by one or more sensors provided in the terminal device 4.

The terminal device 4 is a terminal device placed around the user U or a terminal device worn by the user U. For example, the terminal device 4 is a smartphone, a tablet terminal, a notebook PC, a desktop PC, or a wearable device such as VR goggles or a smartwatch.

The sensor provided in the terminal device 2, 4 may be one or more of a number of sensors, such as an image sensor (camera), a microphone, a gyro sensor, a position sensor (positioning sensor), a temperature sensor, a humidity sensor, an illuminance sensor, and a heart rate sensor, but is not limited to these examples.

Then, the terminal device 2 transmits to the information processing device 1 the result of the task execution by the user U using the terminal device 2 and the detection information when the user U executed the task (step S5). 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 operation history information 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.

Furthermore, if the task is an operation-type task, the execution result of the task includes, for example, information on the operation history by the user U. The operation history includes, for example, a history of the contents (for example, operation position, operation timing, operation speed, operation distance, etc.) of various operations (for example, tap operation, flick operation, swipe operation, pinch operation, click operation, cursor movement operation, drag-and-drop operation, etc.). In the following, the execution result of the task may be simply referred to as the execution result.

In addition, the information processing device 1 acquires the execution result and the detection information after the user U finishes executing the task, but can also repeatedly acquire the execution result and the detection information while the user U is executing the task. In this case, the terminal device 2 repeatedly transmits the execution result and the detection information to the information processing device 1 while the user U is executing the task. Note that the information processing device 1 can also acquire information detected by a sensor provided in the terminal device 4 from the terminal device 4 instead of acquiring it from the terminal device 2.

Then, the information processing device 1 determines whether the execution of the task by the user U is legitimate based on at least one of the execution result and the detection information transmitted from the terminal device 2 in step S5 (step S6). In step S6, the information processing device 1 first determines whether the detection information is legitimate, and if it determines that the detection information is legitimate, determines whether the result of the execution of the task by the user U is legitimate. Note that the legitimacy of the execution of the task includes the legitimacy of the result of the execution of the task.

First, a method for determining whether the detection information is valid by the information processing device 1 will be described. The execution information transmitted from the information processing device 1 includes determination information for determining whether the detection information is valid, and the terminal device 2 outputs information for determining whether the detection information is valid based on the determination information included in the execution information.

The information for determining whether the detected information is valid is, for example, at least one of information for displaying a specific image on the terminal device 2, information for generating a specific sound from the terminal device 2, and specific information transmitted to the terminal device 4 using short-range communication.

For example, the terminal device 2 displays a specific image for determining whether the detection information is valid, based on the determination information included in the execution information. The specific image is a still image, but may also be a video. The terminal device 2 can display multiple specific images that are different from each other, based on the determination information.

The timing for displaying the multiple specific images that are different from one another is before the execution of the task starts and after the execution of the task ends, but the specific images may also be displayed while the user U is performing the task. The specific image is a unique image and an image that includes a picture or the like, but it may also be an image that includes a unique two-dimensional code or a character string.

The terminal device 2 can also output a specific sound for determining whether the detected information is valid, based on the determination information included in the execution information. The specific sound is a sound of a specific acoustic pattern in the inaudible range, but may also be a specific acoustic pattern in the audible range. The specific sound may also be a sound output from the terminal device 2 when the user U operates the device to execute a task.

The terminal device 4 transmits a captured image of a specific image for determining whether the detection information is valid to the information processing device 1 as part of the detection information, or obtains a specific sound for determining whether the detection information is valid and transmits information about the obtained specific sound to the information processing device 1 as part of the detection information. Note that the information for determining whether the detection information is valid may be a specific light (e.g., a blinking pattern of infrared light), etc.

The terminal device 2 can also use short-range communication to transmit specific information to the terminal device 4 for determining whether the detected information is valid, based on the determination information included in the execution information. The specific information is, for example, information unique to each task to be executed, but may also be a hash value of information unique to each task to be executed.

For example, when the detection information includes at least one of specific image information, specific sound information, and specific information, the information processing device 1 determines that the detection information transmitted from at least one of the terminal device 2 and the terminal device 4 is legitimate detection information.

When the execution result includes information such as surrounding sounds and images while the user U is performing the task, the information processing device 1 can also determine whether the detection information is valid based on the detection information and the execution result. For example, when the detection information and the execution result include common sounds and images, the information processing device 1 can determine that the detection information transmitted from at least one of the terminal device 2 and the terminal device 4 is valid detection information.

Next, a method for determining whether the execution of a task by user U is legitimate will be described. The information processing device 1 determines whether the execution of a task by user U is legitimate based on at least one of the execution result and the detection information. Hereinafter, the execution of a task by user U may be referred to as task execution.

For example, the information processing device 1 determines whether or not task execution is legitimate based on the detection information. In this case, the information processing device 1 determines the facial orientation and gaze direction of the user U in the captured image based on the information of the captured image included in the detection information. Then, when the proportion of the facial orientation and gaze direction of the user U directed toward the terminal device 2 (for example, the ratio to the task execution time) is equal to or greater than a threshold, the information processing device 1 determines that task execution is legitimate, and when this is not the case, determines that task execution is not legitimate.

In addition, the information processing device 1 estimates the context of the user U when the user U is executing the task based on the detection information. If the context of the user U is a context that has been predefined as one in which the task cannot be executed, the information processing device 1 determines that the task execution is invalid, and if not, determines that the result of the task execution is valid.

Contexts that are predefined as not allowing the execution of a task to be legitimate include, for example, the illuminance around the user U being too bright (e.g., the illuminance is above a threshold), the humidity around the user U being too bright (e.g., the humidity is above a threshold), and the vibrations in the user U's location are too large (e.g., the vibrations are above a threshold). In addition, contexts that are predefined as not allowing the execution of a task to be legitimate may include, for example, a state in which the user U is running, a state in which the user U is walking, etc.

In addition, when the task information includes condition information, the information processing device 1 can determine that task execution is legitimate if the context of the user U matches the context specified by the condition information included in the task information, and can determine that task execution is not legitimate if this is not the case.

In addition, for example, when the terminal device 4 is a smartwatch equipped with a gyro sensor, the information processing device 1 can determine vibrations corresponding to the movement of the user U's forearm or hand based on the detection information, and determine the legitimacy of the task execution based on such vibrations.

For example, the information processing device 1 can determine that the task execution is not valid if the determined vibration is not in a predetermined vibration pattern or if the magnitude or frequency of the determined vibration is not within a threshold range, and can determine that the task execution is valid if this is not the case.

In addition, the information processing device 1 can determine whether or not the task execution is legitimate based on the result of the task execution. In this case, the information processing device 1 determines the appropriateness of the task execution, and if the appropriateness of the task execution is equal to or greater than a threshold, determines that the task execution is legitimate, and if not, determines that the task execution is not legitimate.

For example, if the task is a questionnaire-type task, the appropriateness of task execution is determined to be higher the closer the speed at which questions are answered is to a predetermined range. Note that the appropriateness of task execution is highest when the speed at which questions are answered is within a predetermined range.

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. Note that the appropriateness of task execution is highest when the tagging speed is within a predetermined range.

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, but it may also be a statistical outlier.

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. Note that the appropriateness of task execution is highest when the number of operations is within a predetermined range. In addition, for example, in the case of an operation-type task, the appropriateness of task execution is determined to be lower the more operations of the type specified in the task are performed.

The information processing device 1 can also determine the appropriateness of task execution using an appropriateness estimation model that inputs the result of task execution and outputs the appropriateness. The appropriateness estimation model is generated, for example, by machine learning using learning data that includes the result of task execution and the presence or absence of legitimacy of task execution.

The information processing device 1 can also determine whether or not a task is being executed using program code, for example, based on the execution result of the task. For example, if the task is a questionnaire-type task, the information processing device 1 determines that the task is being executed using program code if the timing of inputting answers to questions is uniform. Also, for example, if the task is annotation, the information processing device 1 determines that the task is being executed using program code if the operation of tracing the outer edge of a specific object is performed at a uniform speed.

When the information processing device 1 determines that a task is being executed using program code, it determines that the task execution is not legitimate, and when this is not the case, it determines that the task execution is legitimate.

In addition, the information processing device 1 can determine that the execution of a task is legitimate when both the result of the determination based on the detection information and the result of the determination based on the execution result indicate that the execution of the task is legitimate.

In addition, when the information processing device 1 repeatedly acquires the execution results and the detection information while the user U is executing the task, the information processing device 1 can repeatedly determine whether the execution of the task is valid while the user U is executing the task.

Then, the information processing device 1 grants a reward to the user U (step S7). 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 an online site. Benefits may be, for example, coupons, gift certificates, service vouchers, etc., but are not limited to these examples. The reward may also be cash, in which case the reward is granted, for example, by depositing cash via a bank account.

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 the reward information can be displayed on the terminal device 2.

When the information processing device 1 is unable to obtain the detection information, it determines a lower reward to be given to the user U compared to when the detection information is obtained. In this case, even if the information processing device 1 cannot determine the legitimacy of the task execution in step S6, it can determine a lower reward to be given to the user U compared to when the detection information is obtained compared to when the detection information is obtained.

The information processing device 1 can also grant a reward to the user U only if it determines in step S6 that the execution of the task is legitimate, for example. Furthermore, if it determines in step S6 that the execution of the task is not legitimate, for example, the information processing device 1 can also determine that the reward to be granted to the user U is lower than the reward to be granted in the case where it is determined in step S6 that the execution of the task is legitimate. Furthermore, the information processing device 1 can also grant a higher reward to the user U, for example, the higher the appropriateness determined in step S6.

In addition, if the information processing device 1 determines in step S6 that the execution of the task is not legitimate, it notifies the user U of the information indicating that the execution of the task is not legitimate by transmitting information indicating that the execution of the task is not legitimate to the terminal device 2.

In addition, if the information processing device 1 determines in step S6 that the execution of the task is not legitimate, it can also suggest re-executing the task. For example, the suggestion to re-execute the task is made by transmitting proposal information indicating the proposal to re-execute the task to the terminal device 2. The proposal information includes, for example, information for identifying the task for which re-execution is proposed.

In this way, the information processing device 1 acquires the result of the task execution by user U using the terminal device 2 and detection information, which is information detected by one or more sensors and is information at the time when user U executes the task, and determines whether or not the execution of the task by user U is legitimate based on the execution result and the detection information. This allows the information processing device 1 to provide the ordering side with information indicating the legitimacy of the task execution in addition to the execution result, and to exclude execution results that do not show legitimate task execution, thereby promoting crowdsourcing.

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, a plurality of terminal devices 3, and a plurality of terminal devices 4.

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 multiple terminal devices 4 is used by a different user U. Each of the terminal devices 2, 3, and 4 is, for example, a smartphone, a tablet device, a notebook PC, a desktop PC, etc., but may also be a wearable device such as a smart watch, VR goggles, etc. Each user U has multiple terminal devices including terminal device 2 and terminal device 4.

The information processing device 1, the terminal device 2, the terminal device 3, and the terminal device 4 are connected to each other via a network N so as to be able to 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, 3, and 4 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 can 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, a heart rate 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 heart rate sensor is a sensor that detects the heart rate of the user U. 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 to the terminal device 2 is, for example, the above-mentioned These include execution information, request information, remuneration information, and request information.

The information acquisition unit 16 acquires detection information, which is information detected by the sensor group 13, from the sensor group 13. The information output unit 18 acquires the detection information transmitted from the terminal device 4 by short-range wireless communication via the communication unit 10 when the detection information, which is information detected by the sensor group provided in the terminal device 4, is transmitted to the terminal device 2.

[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 information acquired by the information acquisition unit 16.

For example, the display processing unit 17 causes the display unit 11 to display execution information, request information, reward information, request information, etc. 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, with the request information 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, when 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 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 selected by the user U. Such a task request includes information for identifying the task 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 terminal device 4
Similar to the terminal device 2, the terminal device 4 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. Similar to the processing unit 15 of the terminal device 2, the processing unit 15 of the terminal device 4 includes an information acquisition unit 16, a display processing unit 17, and an information output unit 18.

The terminal device 4 functions as a monitoring device for monitoring the execution of a task by the user U using the terminal device 2. The information acquisition unit 16 of the terminal device 4 acquires detection information, which is information detected by the sensor group 13 of the terminal device 4 when the user U executes a task using the terminal device 2.

The information output unit 18 of the terminal device 4 can, for example, transmit the detection information acquired by the information acquisition unit 16 of the terminal device 4 to the information processing device 1, or transmit it via short-range wireless communication to the terminal device 2.

The sensor group 13 of the terminal device 4 detects the state of the user U, for example, when the user U performs a task using the terminal device 2 by operating the operation unit 12 of the terminal device 4 by the user U, but is not limited to this example.

For example, the sensor group 13 of the terminal device 4 can start a detection operation to detect the state of the user U when the communication unit 10 of the terminal device 4 receives a sensor operation command transmitted from the terminal device 2 to the terminal device 4. In this case, the sensor group 13 of the terminal device 4 ends the detection operation when the communication unit 10 of the terminal device 4 receives a sensor stop command transmitted from the terminal device 2 to the terminal device 4.

The sensor group 13 of the terminal device 4 can also start a detection operation to detect the state of the user U, etc., when the communication unit 10 of the terminal device 4 receives a sensor operation command transmitted from the information processing device 1 to the terminal device 4. In this case, the sensor group 13 of the terminal device 4 ends the detection operation when the communication unit 10 of the terminal device 4 receives a sensor stop command transmitted from the information processing device 1 to the terminal device 4.

The sensor operation command transmitted from the information processing device 1 or the terminal device 2 includes, for example, information indicating the type of sensor to be operated. In the following, the detection information detected by the sensor group 13 when the user U is performing a task using the terminal device 2 may be referred to as detection information during task execution.

5. 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.

5.1. 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.

[5.2. 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 .

[5.2.1. 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 user U, and is information assigned to each user U. "Attribute information" is attribute information related to the attributes of user U that are associated with the "user ID." The attributes of user U are, for example, demographic attributes, psychographic attributes, etc. 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.

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

[5.2.2. 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.

5.2.3. 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," "Detection information," 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 whose execution result corresponds to the "execution ID", and is the same as the user ID shown in FIG. 5. "Execution result" is the execution result corresponding to the "execution ID". "Detection information" is detection information at the time of task execution, information detected by one or more sensors included in the sensor group 13, and information at the time the task was executed by the user U. "Context information" is information on the context of the user U when the user U executed the task whose execution result corresponds to the "execution ID".

5.3. Processing Unit 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 notification unit 43, a determination unit 44, a task unit 45, a proposal unit 46, and a reward granting unit 47, 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.

[5.3.1. 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 the execution results transmitted from the terminal device 2 via the network N and the communication unit 10, and adds the acquired execution results to a task execution result table stored in the task execution result storage unit 32.

The acquisition unit 40 also acquires the detection information during task execution transmitted from the terminal device 2 or the terminal device 4 via the network N and the communication unit 10, and adds the acquired detection information during task execution to a task execution result table stored in the task execution result storage unit 32. The detection information includes information detected by one or more sensors included in the sensor group 13 of the terminal device 2 or the sensor group 13 of the terminal device 4.

The acquisition unit 40 can acquire the execution result and the detection information after the user U finishes executing the task, or can repeatedly acquire the execution result and the detection information while the user U is executing the task.

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 about the task execution results from the task execution result table in the task execution result storage unit 32. The information about 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.

5.3.2. 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 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.

[5.3.3. 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.

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

[5.3.4. Notification unit 43
For example, when the receiving unit 41 receives a task list request, the notification unit 43 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 that shows a list of tasks and 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 corresponding to the task information accepted by the accepting unit 41.

The notification unit 43 can, for example, generate a task list in which multiple tasks are arranged in a rank order according to a predetermined criterion. For example, the notification unit 43 can generate task list information in which multiple tasks are arranged in descending order of reward in point conversion. The task with the highest reward in point conversion is ranked highest, and the lower the task, the lower the reward in point conversion.

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 43 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, based on the context of the user U estimated by the estimation unit 42. 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.

The request information includes information indicating an overview of the task corresponding to the task information received by the reception unit 41, as well as information indicating the context defined by the condition information included in the task 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 43 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 43 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.

In addition, when the determination unit 44 determines that the execution of the task by the user U is not legitimate, the notification unit 43 transmits legitimacy information including information indicating that the execution of the task by the user U is not legitimate to the terminal device 2, and notifies the user U of the legitimacy information.

The legitimacy information may include information indicating that the execution of a task by user U is not legitimate, as well as information indicating an overview of the task that was determined to be executed by user U as not legitimate.

[5.3.5. Determination unit 44
The determination unit 44 determines whether the execution of the task by the user U is valid based on at least one of the execution result and the detection information acquired by the acquisition unit 40.

For example, the determination unit 44 determines whether or not the execution of the task by the user U is legitimate based on at least one of the execution result and the detection information transmitted after the execution of the task by the user U is completed and acquired by the acquisition unit 40.

In addition, when the acquisition unit 40 repeatedly acquires the execution result and the detection information while the user U is executing the task, the determination unit 44 repeatedly determines whether or not the task is legitimate while the user U is executing the task, based on at least one of the execution result and the detection information that are repeatedly acquired.

The determination unit 44, for example, determines whether the detection information is legitimate, and if it determines that the detection information is legitimate, determines whether the result of the execution of the task by the user U is legitimate. First, a method for determining whether the detection information is legitimate by the determination unit 44 will be described. Note that the determination unit 44 can also determine whether the result of the execution of the task by the user U is legitimate without determining whether the detection information is legitimate.

The execution information transmitted from the information processing device 1 includes information for determining whether the detection information is valid, and the terminal device 2 outputs information for determining whether the detection information is valid based on the information for determination included in the execution information.

The information for determining whether the detected information is valid is, for example, at least one of information for displaying a specific image on the terminal device 2, information for generating a specific sound from the terminal device 2, and specific information transmitted to the terminal device 4 using short-range communication.

For example, the terminal device 2 displays a specific image for determining whether the detection information is valid, based on the determination information included in the execution information. The specific image is a still image, but may also be a video. The terminal device 2 can display multiple specific images that are different from each other, based on the determination information.

The timing for displaying the multiple different specific images is before the execution of the task starts and after the execution of the task ends, but the specific images may also be displayed while the user U is performing the task. The specific image is a unique image and is an image that includes a picture or the like, but it may also be an image that includes a unique two-dimensional code or a character string.

The terminal device 2 can also output a specific sound for determining whether the detected information is valid, based on the determination information included in the execution information. The specific sound is a sound of a specific acoustic pattern in the inaudible range, but may also be a specific acoustic pattern in the audible range. The specific sound may also be a sound output from the terminal device 2 when the user U operates the device to execute a task.

The terminal device 4 transmits a captured image, which is a specific image for determining whether the detection information is valid, to the information processing device 1 as part of the detection information, or obtains a specific sound for determining whether the detection information is valid, and transmits information about the obtained specific sound to the information processing device 1 as part of the detection information. Note that the information for determining whether the detection information is valid may be a specific light (e.g., a blinking pattern of infrared light). In this case, the terminal device 4 is provided with a light receiving unit that receives infrared light, and can receive the specific light with the light receiving unit and transmit information about the obtained specific light to the information processing device 1 as part of the detection information.

The terminal device 2 can also use short-range communication to transmit specific information to the terminal device 4 for determining whether the detected information is valid, based on the determination information included in the execution information. The specific information is, for example, information unique to each task to be executed, but may also be a hash value of information unique to each task to be executed.

The determination unit 44 determines that the detection information transmitted from at least one of the terminal device 2 and the terminal device 4 is legitimate detection information when, for example, the detection information includes at least one of specific image information, specific sound information, and specific information.

When the execution result includes information such as surrounding sounds and images while the user U is performing the task, the determination unit 44 can also determine whether the detection information is valid based on the detection information and the execution result. For example, when the detection information and the execution result include common sounds and images, the determination unit 44 can determine that the detection information transmitted from at least one of the terminal device 2 and the terminal device 4 is valid detection information.

Next, a method for determining whether the execution of a task by user U is legitimate will be described. The determination unit 44 determines whether the execution of a task by user U is legitimate based on at least one of the execution result and the detection information. In the following, as described above, the execution of a task by user U may be referred to as task execution.

For example, the determination unit 44 determines whether or not the task execution is legitimate based on the detection information. In this case, the determination unit 44 determines the facial orientation of the user U and the direction of the user U's gaze in the captured image based on the information of the captured image included in the detection information. Then, if the proportion of the facial orientation of the user U and the direction of the user U's gaze that are directed toward the terminal device 2 (for example, the ratio to the task execution time) is equal to or greater than a threshold, the determination unit 44 determines that the task execution is legitimate, and if not, determines that the task execution is not legitimate.

The determination unit 44 also estimates the context of the user U when the user U is executing the task based on the detection information. If the context of the user U is a context that has been predefined as a context in which the task cannot be executed, the determination unit 44 determines that the task execution is invalid, and if not, determines that the result of the task execution is valid.

Contexts that are predefined as inappropriate task execution include, for example, the illuminance around user U being too bright (e.g., the illuminance is above a threshold), the humidity around user U being too bright (e.g., the humidity is above a threshold), and the vibrations at user U's location are too large (e.g., the vibrations are above a threshold). In addition, contexts that are predefined as inappropriate task execution may also be, for example, a state in which user U is running, a state in which user U is walking, etc.

In addition, when the task information includes condition information, the determination unit 44 can determine that task execution is legitimate if the context of the user U matches the context specified by the condition information included in the task information, and can also determine that task execution is not legitimate if this is not the case.

In addition, for example, when the terminal device 4 is a smartwatch equipped with a gyro sensor, the determination unit 44 can determine vibrations corresponding to the movement of the user U's forearm or hand based on the detection information, and determine whether or not the task execution is valid based on such vibrations.

For example, the determination unit 44 can determine that the task execution is not valid if the determined vibration is not in a predetermined vibration pattern or if the magnitude or frequency of the determined vibration is not within a threshold range, and can determine that the task execution is valid if this is not the case.

The determination unit 44 can also determine whether or not the task execution is legitimate based on the result of the task execution. In this case, the determination unit 44 determines the appropriateness of the task execution, and if the appropriateness of the task execution is equal to or greater than a threshold, determines that the task execution is legitimate, and if not, determines that the task execution is not legitimate.

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. When an answer is an answer selected from multiple options, an outlier answer is an answer that does not fall into any of the 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, when it 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 44 can also determine the appropriateness of task execution using an appropriateness estimation model that receives the task execution result as input and outputs the appropriateness. The appropriateness estimation model is generated, for example, by machine learning using learning data that includes the task execution result and the presence or absence of the legitimacy of the task execution.

In the appropriateness estimation model, the legitimacy of execution is deemed valid, for example, when user U performs a task sincerely, and invalid, when user U performs a task without sincerity. Performing a task sincerely can also be said to be performing a task appropriately, and performing a task without sincerity can also be said to be performing a 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 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 44 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 44 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 44 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 44 can also determine whether or not a task is being executed using program code, for example, based on the execution result of the task. For example, if the task is a questionnaire-type task, the determination unit 44 determines that the task is being executed using program code if the timing of inputting answers to questions is uniform. Also, for example, if the task is annotation, the determination unit 44 determines that the task is being executed using program code if the operation of tracing the outer edge of a specific object is performed at a uniform speed.

If the determination unit 44 determines that a task is being executed using program code, it determines that the task execution is not legitimate, and if not, it determines that the task execution is legitimate.

The determination unit 44 can determine that the execution of the task is legitimate when both the result of the determination based on the detection information and the result of the determination based on the execution result of the task indicate that the execution of the task is legitimate.

In addition, when the determination unit 44 repeatedly acquires the execution result and the detection information while the user U is executing the task, the determination unit 44 can repeatedly determine whether the execution of the task is valid while the user U is executing the task.

5.3.6. Task section 45
The task unit 45 causes the user U to execute one or more tasks based on the task information. The task unit 45 causes the user U to execute the tasks 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.

In addition, when 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 causes the user U to suspend the execution of 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 the 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 send a stop command, a prohibition command, or the like to the terminal device 2, thereby stopping 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.

[5.3.7. Proposal section 46
The suggestion unit 46 suggests re-execution of the task when the determination unit 44 determines that the task performed by the user U is not valid.

For example, the suggestion unit 46 suggests re-execution of a task by transmitting suggestion information including information for re-executing a task that has been determined by the determination unit 44 to be inappropriate for execution by the user U, to the terminal device 2 of the user U whose execution of the task has been determined to be inappropriate by the determination unit 44. The suggestion information includes, for example, information for identifying the task for which re-execution is proposed.

The suggestion unit 46 can, for example, suggest re-execution of the task to a user U whose appropriateness determined by the determination unit 44 is equal to or greater than a threshold, and not suggest re-execution of the task if this is not the case.

5.3.8. Reward Granting Unit 47
When the receiving unit 41 receives the execution result, the reward granting unit 47 grants a reward to the user U who executed the task.

For example, when the execution result is accepted by the acceptance unit 41 and the judgment unit 44 judges that the task execution is legitimate, the reward granting unit 47 can grant a reward to the user U who executed the task whose execution was judged to be legitimate by the judgment unit 44.

In addition, when the determination unit 44 determines that the task execution is not legitimate, the reward granting unit 47 can also determine that the reward to be granted to the user U is lower than the reward when the determination unit 44 determines that the task execution is legitimate.

In addition, when the acquisition unit 40 is unable to acquire detection information, the reward granting unit 47 can also determine a lower reward to be granted to the user U compared to when the acquisition unit 40 is able to acquire detection information.

In this case, even if the determination unit 44 cannot determine the legitimacy of the task execution, the reward granting unit 47 can determine a lower reward to be granted to the user U when the detection information cannot be acquired compared to when the detection information can be acquired. For example, in the case of electronic money, the higher the amount of the reward, and in the case of points or benefits, the higher the amount when converted into cash, the higher the reward.

The reward given to 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 may also be cash, in which case the reward giving unit 47 gives the reward to user U, for example, by depositing cash via a bank account.

The reward granting unit 47, for example, grants a reward to the user U who performed the task in the online service 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 addition, the reward granting unit 47 grants a reward to the user U who performed the task by, for example, 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.

6. 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 may be, for example, each time there is access from the terminal device 2, a timing that arrives at each predetermined period, or 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 transmits proposal information including task list information to the terminal device 2 (step S15).

When the processing of step S15 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 S16). When the processing unit 22 determines that a task request has been accepted (step S16: Yes), it transmits execution information included in the task information of the task specified by the accepted task request (step S17).

When the processing of step S17 is completed or when it is determined that a task request has not been received (step S16: No), the processing unit 22 determines whether or not a determination timing has arrived (step S18). The determination timing is, for example, the timing each time the execution result and the detection information are acquired, but is not limited to this example, and may be, for example, a timing that arrives at every predetermined period.

When the processing unit 22 determines that the determination timing has arrived (step S18: Yes),
Based on the execution result and the detection information, it is determined whether the execution of the task by the user U is valid (step S19).

The processing unit 22 also performs a reward granting process (step S20) and a re-execution request process (step S21) based on the determination result in step S19. The reward granting process is a process of granting a reward to the user U who executed the task. The re-execution process is a process of requesting the user U whose execution of the task has been determined to be inappropriate to re-execute the task whose execution has been determined to be inappropriate.

When the processing of step S21 is completed, or when it is determined that the determination timing has not yet arrived (step S18: No), the processing unit 22 determines whether 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.

[7. 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 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 it takes to read the article content, the position or timing of tapping on the article content, the position, timing, or speed of flicking on the article content, etc.

In addition, the execution results of the task of operating the camera (image sensor) include the timing from the start of the image sensor to capturing an image, the gaze position when capturing an image, the angle (posture) of the terminal device 2 (image sensor), the number of images captured, the interval between images captured, processing operations, etc.

In the above example, the detection information is acquired by the sensor group 13 of the terminal devices 2 and 3 of the user U, but the information may be detected by one or more sensors installed in a device (e.g., a surveillance camera, a drive recorder, etc.) owned by a person other than the user U, a country, a local government, a company, etc.

Furthermore, the task executed by a user U may be a task executed cooperatively by two or more users U. Examples of tasks executed cooperatively by two or more users U include a task of playing a competitive game in which two or more users U compete against each other, a questionnaire-type task in which two or more people cooperate to answer questions, or a task of playing a group participation game in which two or more users U participate as a group. In this case, the terminal device 2 of each user U may be used as a terminal device 4 for monitoring the other users U of the two or more users U.

The reward granting unit 47 can also determine the reward rank of the user U, for example, based on the history of the legitimacy determination results by the determination unit 44. The user U is granted a reward according to the reward rank determined by the reward granting unit 47. For example, the higher the reward rank, the higher the probability that the determination unit 44 will determine legitimacy, and the higher the reward rank of the user U, the higher the reward granted by the reward granting unit 47 will be.

The suggestion unit 46 can also suggest to the client O of a task that is highly likely to be determined to be invalid by the determination unit 44 that the task be changed in position of the UI, the layout of the task, the design of the task, or the order of execution of the tasks. In this case, the suggestion unit 46 can suggest improvements to the task to the client O by transmitting proposal information including information indicating the proposal content to the terminal device 3 of the client O.

In addition, when the acquisition unit 40 repeatedly acquires the execution result and the detection information while the user U is executing the task, if the judgment unit 44 judges that the execution of the task is not legitimate while the user U is executing the task, the task unit 45 can also cause the terminal device 2 to output content (such as a sound or a warning) to increase the legitimacy as warning information.

In addition, the notification unit 43 can increase the number of task information items to be included in the task list information for a user U whose task execution is more likely to be determined to be legitimate, or can include task information for tasks whose task execution is less likely to be determined to be legitimate in the task list information.

In addition, the determination unit 44 can determine legitimacy for some executions instead of for each execution of the task. In this case, the determination unit 44 can increase the frequency of determining legitimacy for a user U with a higher probability of determining that the execution of the task is not legitimate, and can decrease the frequency of determining legitimacy for a user U with a lower probability of determining that the execution of the task is not legitimate.

In addition, if the accuracy of determining legitimacy increases as the number of types of sensors required for the determination unit 44 to determine legitimacy increases, the reward granting unit 47 can increase the reward the more types of sensors that detected the information included in the detection information.

The notification unit 43 can also propose to the user U the execution of a task group by combining a task type that is highly likely to be determined to be legitimate by the determination unit 44 with a task type that is low likely to be determined to be illegitimate by the determination unit 44. In this case, the proposal information includes information on the combination of a task type that is highly likely to be determined to be legitimate by the determination unit 44 and a task type that is low likely to be determined to be illegitimate by the determination unit 44.

In addition, when the task information includes condition information, the determination unit 44 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.

8. 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.

[9. 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.

10. Effects
As described above, the information processing device 1 according to the embodiment includes an acquisition unit 40 that acquires a result of the execution of a task by the user U using the terminal device 2 and detection information that is information detected by one or more sensors and is information at the time of execution of the task by the user U, and a determination unit 44 that determines whether or not the execution of the task by the user U is legitimate based on at least one of the execution result and the detection information acquired by the acquisition unit 40. In this way, the information processing device 1 can provide the ordering side with information indicating whether or not the execution of the task is legitimate in addition to the execution result, and can exclude execution results that are not legitimate, thereby promoting crowdsourcing.

The one or more sensors are provided in a device other than the terminal device 2. This allows the information processing device 1 to determine whether or not the execution of a task is valid by using detection information detected in a device other than the terminal device 2.

The one or more sensors are one or more sensors provided in the terminal device 2. This allows the information processing device 1 to determine whether or not the execution of a task is valid by using the detection information detected by the terminal device 2.

The acquisition unit 40 also repeatedly acquires the execution result and the detection information while the user U is executing the task, and the determination unit 44 repeatedly determines whether or not the execution result and the detection information are legitimate based on at least one of the execution result and the detection information repeatedly acquired by the acquisition unit 40. This allows the information processing device 1 to determine whether or not the execution of the task is legitimate in real time.

The acquisition unit 40 also acquires the execution result and the detection information after the user U finishes executing the task. This allows the information processing device 1 to determine whether the task execution is legitimate for the entire task execution, thereby improving the accuracy of determining whether the task execution is legitimate.

The determination unit 44 also determines the presence or absence of legitimacy based on the execution result and detection information acquired by the acquisition unit 40. This allows the information processing device 1 to improve the accuracy of determining the presence or absence of legitimacy of task execution.

The information processing device 1 also includes a reward granting unit 47 that grants a reward to the user U when the determination unit 44 determines that the task is legitimate. This enables the information processing device 1 to increase the motivation of the user U who performs the task, and to improve the legitimacy of the task execution.

In addition, when the acquisition unit 40 is unable to acquire the detection information, the reward granting unit 47 determines a lower reward to be granted to the user U compared to when the acquisition unit 40 is able to acquire the detection information. This enables the information processing device 1 to increase the motivation of the user U to execute the task and improve the legitimacy of the execution of the task.

The information processing device 1 also includes a notification unit 43 that notifies information indicating the lack of legitimacy when the determination unit 44 determines that the task is not legitimate. This enables the information processing device 1 to increase the legitimacy of the task execution.

The information processing device 1 also includes a suggestion unit 46 that suggests re-executing a task when the determination unit 44 determines that the task is not legitimate. This enables the information processing device 1 to increase the legitimacy of the task execution.

The one or more sensors are one or more of an image sensor, a microphone, a position sensor, a gyro sensor, a temperature sensor, a humidity sensor, and an illuminance sensor. This enables the information processing device 1 to improve the accuracy of determining the legitimacy of task execution.

The above describes the embodiments of the present application in detail based on the drawings, but this is merely an example, and the present invention can be implemented in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the disclosure section of the invention.

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

REFERENCE SIGNS LIST 1 Information processing device 2, 3, 4 Terminal device 10, 20 Communication unit 11 Display unit 12 Operation unit 13 Sensor group 14, 21 Memory 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 Notification unit 44 Determination unit 45 Task unit 46 Suggestion unit 47 Reward grant unit 100 Information processing system N Network

Claims (13)

an acquisition unit that acquires a result of a task performed by a user using a terminal device and detection information that is information detected by one or more sensors when the task is performed by the user;
a determination unit that determines whether or not the execution of the task by the user is legitimate, based on at least one of the execution result and the detection information acquired by the acquisition unit. The one or more sensors include:
The information processing apparatus according to claim 1 , wherein the sensor is one or more sensors provided in a device different from the terminal device. The one or more sensors include:
The information processing device according to claim 1 , characterized in that the sensor is one or more sensors provided in the terminal device. The acquisition unit is
repeatedly acquiring the execution result and the detection information during execution of the task by the user;
The determination unit is
The information processing apparatus according to claim 1 , further comprising: a step of repeatedly determining whether the validity is present or not based on at least one of the execution result and the detection information repeatedly acquired by the acquisition unit. The acquisition unit is
The information processing apparatus according to claim 1 , further comprising: acquiring the execution result and the detection information after the execution of the task by the user is completed. The determination unit is
6. The information processing apparatus according to claim 1, further comprising: determining whether the validity is present or not based on the execution result and the detection information acquired by the acquisition unit. 6. The information processing device according to claim 1, further comprising a reward granting unit that grants a reward to the user when the determining unit determines that the authentication is valid. The reward granting unit:
The information processing device according to claim 7, characterized in that, when the acquisition unit is unable to acquire the detection information, a lower reward is determined as the reward to be given to the user compared to when the acquisition unit is able to acquire the detection information. 6. The information processing device according to claim 1, further comprising a notification unit that notifies information indicating that the information is not valid when the determination unit determines that the information is not valid. 6. The information processing apparatus according to claim 1, further comprising a suggestion unit that suggests re-execution of the task when the determination unit determines that the task is not valid. The one or more sensors include:
6. The information processing device according to claim 1, wherein the sensor is one or more of an image sensor, a microphone, a position sensor, a gyro sensor, a temperature sensor, a humidity sensor, and an illuminance sensor. 1. A computer-implemented information processing method, comprising:
an acquisition step of acquiring a result of a task performed by a user using a terminal device and detection information, which is information detected by one or more sensors and is information at the time when the task is performed by the user;
a determination step of determining whether or not the execution of the task by the user is legitimate, based on at least one of the execution result and the detection information acquired by the acquisition step. an acquisition step of acquiring a result of a task performed by a user using a terminal device and detection information, which is information detected by one or more sensors and is information at the time when the task is performed by the user;
and a determination procedure for determining whether or not the execution of the task by the user is legitimate, based on at least one of the execution result and the detection information acquired by the acquisition procedure.

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