Assistance device, assistance method, and program

Abstract

To appropriately perform a questionnaire for grasping the levels of engagement.SOLUTION: An assistance device comprises: an acquisition unit for acquiring measurement values measured by a sensor; a determination unit for outputting a determination result of determining the necessity of output of a questionnaire by monitoring the measurement values; and an output unit for outputting a questionnaire assigned with a questionnaire ID for identifying the questionnaire according to user information of a user and the determination result of the determination unit.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an assistance device and an assistance method. [Background technology]

[0002] Conventionally, stress checks or engagement questionnaires are conducted periodically, such as when workers arrive and leave work, and the manager analyzes the questionnaire responses. Patent Document 1 proposes a system that conducts a questionnaire to measure employee engagement at a timing set for each employee group. Patent Document 2 proposes a system that analyzes the relationship between personnel and labor information and engagement. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6921450 [Patent Document 2] Patent No. 6845595 Summary of the Invention [Problem to be solved by the invention]

[0004] Factors that affect worker engagement in production and work sites include short production quotas, abnormal noises, working in hot and humid environments, etc. Blindly conducting an engagement survey without considering the factors that affect worker engagement will not lead to the discovery of effective ways to improve worker engagement.

[0005] The present invention has been made in consideration of the above-mentioned circumstances, and an object of the present invention is to provide a technique that makes it possible to appropriately conduct a survey for grasping engagement. [Means for solving the problem]

[0006] An assistance device according to one aspect of the present invention is an assistance device including an acquisition unit that acquires a measurement value measured by a sensor, a determination unit that monitors the measurement value to output a determination result of whether or not a questionnaire needs to be output, and an output unit that outputs the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on user information of the user and the determination result. The measurement value measured by the sensor is monitored to determine whether or not a questionnaire needs to be output. This makes it possible to determine whether or not a questionnaire needs to be output, taking into consideration whether or not a cause that affects the user's engagement has occurred. Then, a questionnaire to which a questionnaire ID is assigned is output based on the user information and the determination result, making it possible to appropriately conduct a questionnaire to grasp the user's engagement.

[0007] In the above support device, the output unit may output the questionnaire suitable for the user based on the user information and the judgment result. By outputting a questionnaire suitable for the user, it becomes possible to conduct a questionnaire suitable for the user. In the above support device, the judgment unit may judge whether or not it is necessary to output the questionnaire based on the measurement value and the judgment criterion. In the above support device, the judgment unit may judge whether or not it is necessary to output the questionnaire based on at least one of the frequency and the period during which the measurement value does not satisfy the judgment criterion. In the above support device, the judgment unit may judge whether or not it is necessary to output the questionnaire based on at least one of the frequency and the period during which the measurement value satisfies the judgment criterion. For example, by comparing the measurement value with the judgment criterion, an increase or decrease in the measurement value is detected as a fluctuation in the measurement value. This makes it possible to determine whether or not a survey needs to be output, taking into consideration whether or not a fluctuation in the measurement value has occurred.

[0008] In the support device, the sensor may measure vital information of the user, the acquisition unit may acquire the measurement value of the vital information measured by the sensor, and the determination unit may determine whether or not the questionnaire needs to be output based on the measurement value of the vital information and a determination criterion. In the support device, the determination unit may determine whether or not the questionnaire needs to be output based on at least one of a frequency and a period during which the measurement value of the vital information does not satisfy the determination criterion. For example, by comparing the measurement value of the vital information with the determination criterion, an increase or decrease in the measurement value of the vital information is detected as an occurrence of a fluctuation in the measurement value of the vital information. This makes it possible to determine whether or not the questionnaire needs to be output, taking into account whether or not a fluctuation has occurred in the measurement value of the vital information.

[0009] In the above support device, the sensor may measure the number of products produced, the acquisition unit may acquire the measured value of the number of products produced measured by the sensor, and the determination unit may determine whether or not it is necessary to output the questionnaire based on the measured value of the number of products produced and a determination criterion. In the above support device, the determination unit may determine whether or not it is necessary to output the questionnaire based on at least one of the frequency and the period during which the measured value of the number of products produced does not satisfy the determination criterion. For example, a decrease in the number of products produced is detected by comparing the measured value of the number of products produced with the determination criterion. This makes it possible to determine whether or not it is necessary to output the questionnaire, taking into account whether or not the number of products produced has decreased.

[0010] In the above support device, the sensor measures the number of products produced and the user's contribution rate in the number of products produced, the acquisition unit acquires the measurement value of the number of products produced measured by the sensor and the user's contribution rate in the number of products produced, and the determination unit may determine whether or not the questionnaire needs to be output based on the measurement value of the number of products produced, the user's contribution rate in the number of products produced, and a determination criterion. In the above support device, the determination unit may determine whether or not the questionnaire needs to be output based on at least one of the frequency and period during which the measurement value of the number of products produced meets the determination criterion and the user's contribution rate. For example, an increase in the number of products produced is detected by comparing the measurement value of the number of products produced with the determination criterion. This makes it possible to determine whether or not the questionnaire needs to be output, taking into account whether or not the number of products produced has increased. Also, it is possible to determine whether or not the questionnaire needs to be output, taking into account the user's contribution rate in the number of products produced.

[0011] In the support device, the acquisition unit may acquire the questionnaire answered by the user, and the user information, the determination result, and the questionnaire answered by the user may be linked by the questionnaire ID and stored in a storage unit. For example, a user administrator can appropriately grasp the engagement and psychological state of the user by analyzing the user information, the determination result, and the questionnaire answered by the user.

[0012] In the support device, the acquisition unit may acquire the questionnaire answered by the user and video data capturing an image of the user, and the user information, the determination result, the questionnaire answered by the user, and the video data may be stored in a storage unit in a linked manner by the questionnaire ID. For example, a user administrator can appropriately grasp the user's engagement and psychological state by analyzing the user information, the determination result, the questionnaire answered by the user, and the video data.

[0013] The support method according to one aspect of the present invention includes a step of acquiring a measurement value measured by a sensor, and a step of determining whether or not a questionnaire needs to be output by monitoring the measurement value. and outputting the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on the user information of the user and the determination result.

[0014] A program according to one aspect of the present invention is a program for causing a computer to execute the steps of acquiring measurement values ​​measured by a sensor, monitoring the measurement values ​​to output a determination result as to whether or not a questionnaire needs to be output, and outputting the questionnaire with a questionnaire ID for identifying the questionnaire based on the user information of a user and the determination result. Effect of the Invention

[0015] According to the present invention, a survey for grasping engagement can be appropriately carried out. [Brief description of the drawings]

[0016] [Figure 1] FIG. 1 is a schematic configuration diagram of a support device according to an application example. [Diagram 2] FIG. 2 is a flowchart showing an example of the operation of the survey device. [Diagram 3] FIG. 3 is a schematic configuration diagram of the support device according to the first embodiment. [Figure 4] FIG. 4 is a flowchart showing an example of the operation of the survey device. [Diagram 5] 5A and 5B are schematic diagrams showing an example of a data structure stored in the storage unit. [Figure 6] FIG. 6 is a diagram showing an example of a questionnaire screen. [Figure 7] 7A and 7B are schematic diagrams showing an example of a data structure stored in the storage unit. [Figure 8]FIG. 8 is a schematic configuration diagram of a support device according to the second embodiment. [Figure 9] FIG. 9 is a flowchart showing an example of the operation of the survey device. [Figure 10] FIG. 10 is a schematic diagram of a support device according to the third embodiment. [Figure 11] FIG. 11 is a flowchart showing an example of the operation of the survey device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, application examples and each embodiment will be described with reference to the drawings. The application examples and each embodiment described below are aspects of the present application and do not limit the scope of the rights of the present application.

[0018] <Application Examples> The present invention can be applied to, for example, a support device (support system) shown in FIG. 1. FIG. 1 is a schematic configuration diagram of a support device according to an application example. Users 100A and 100B are workers who perform work at a production site (manufacturing site), and a user administrator 100C is an administrator of users 100A and 100B. The administrators include an administrator who manages the entire production site, an administrator who manages each production line at the production site, an administrator who manages each worker, and the like. In FIG. 1, users 100A and 100B are shown as two workers, but the number of workers is not limited to two, and may be one, or may be three or more. In FIG. 1, user administrator 100C is shown as one administrator, but the number of administrators is not limited to one, and may be two or more. The support device includes a survey device (survey system) 1, a management device (management system) 2, and a sensor 3. The number of sensors 3 may be one or more.

[0019] The survey device 1 includes a receiving unit 11, a control unit 12, a storage unit 13, and a transmission unit 14. The receiving unit 11 and the transmission unit 14 may be a communication interface realized by a communication device such as a network card. The control unit 12 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc. , controls each part in the survey device 1 and performs various processes. The memory unit 13 stores programs executed by the control unit 12 and various data used in the processes executed by the control unit 12. For example, the memory unit 13 may be an auxiliary storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The memory unit 13 may also be realized by a removable storage medium. Not all of the components of the survey device 1 shown in FIG. 1 are essential, and components of the survey device 1 may be added or deleted as appropriate. For example, the survey device 1 may have a display device such as a display, and an input device such as a mouse or a touch panel.

[0020] The management device 2 may be configured, for example, by a computer equipped with a processor such as a CPU, a memory as a main memory, a storage as an auxiliary memory, a display device such as a display or a tablet terminal, an input device such as a mouse or a touch panel, a network I / F, etc. The computer may be a general-purpose computer such as a personal computer or a field computer, an embedded computer or a dedicated device, or a computer resource of another device such as a PLC. The survey device 1 and the management device 2 are considered to be separate devices, but the survey device 1 and the management device 2 may be configured as an integrated device. At least some of the functions of the survey device 1 and the management device 2 may be realized by a computer on the cloud, or by a microcomputer such as a PLC or a single board computer.

[0021] The management device 2 collects the measurement values ​​(measurement data) measured by the sensor 3 and transmits the measurement values ​​to the receiving unit 11. The management device 2 may function as an acquisition unit by acquiring the measurement values. The storage unit 13 stores a plurality of pieces of user information and a plurality of questionnaires. In the example shown in FIG. 1, the storage unit 13 stores the user information and a plurality of questionnaires of the users 100A and 100B. The user information includes, for example, information on the user type (temporary employee, staff, manager, etc.), industry (automobile, electronic parts, food, etc.), job title, job duties, work content, and years of service. In the example shown in FIG. 1, the storage unit 13 stores the user information and a plurality of questionnaires of the users 100A and 100B in advance. The user 100A may store the user information of the user 100A in the storage unit 13 using an information processing device such as a personal computer, a smartphone, or a tablet terminal, or the user administrator 100C may store the user information of the user 100A in the storage unit 13 using an information processing device. User 100B may use an information processing device to store the user information of user 100B in storage unit 13, or user administrator 100C may use an information processing device to store the user information of user 100B in storage unit 13.

[0022] (Example of survey device operation) Fig. 2 is a flowchart showing an example of the operation of the survey device 1. An example of the operation of the survey device 1 will be described with reference to the flowchart of Fig. 2. In step S1, the receiving unit 11 receives a measurement value from the management device 2. The receiving unit 11 may function as the acquiring unit by acquiring the measurement value, or the control unit 12 may function as the acquiring unit by acquiring the measurement value.

[0023] In step S2, the control unit 12 determines whether or not it is necessary to output the questionnaire by monitoring the measurement value measured by the sensor 3. The control unit 12 may determine whether or not it is necessary to output the questionnaire based on the measurement value and a determination criterion. The control unit 12 outputs a determination result of whether or not it is necessary to output the questionnaire (hereinafter referred to as a questionnaire determination result). The control unit 12 is an example of a determination unit.

[0024] In step S3, the control unit 12 outputs a questionnaire to which a questionnaire ID is assigned based on the user information and the questionnaire determination result. The control unit 12 is an example of an output unit. For example, the control unit 12 outputs a questionnaire for the user 100A based on the user information of the user 100A and the questionnaire determination result. For example, the control unit 12 outputs a questionnaire for the user 100B based on the user information of the user 100B and the questionnaire determination result. The control unit 12 may extract questionnaires for the user 100A and the user 100B from the storage unit 13 and output the extracted questionnaire. A plurality of questionnaires are stored in the storage unit 13. A questionnaire ID is assigned to each of the plurality of questionnaires. The questionnaire ID is identification information for identifying each of the plurality of questionnaires. The control unit 12 may create questionnaires for the user 100A and the user 100B, assign a questionnaire ID to the questionnaire, and output the questionnaire to which the questionnaire ID is assigned.

[0025] In step S4, the control unit 12 links the user information of each user with the survey determination result by the survey ID and stores them in the memory unit 13. The control unit 12 links the user information of user 100A with the survey determination result by the survey ID and stores them in the memory unit 13. The control unit 12 links the user information of user 100B with the survey determination result by the survey ID and stores them in the memory unit 13. In step S5, the transmission unit 14 transmits the survey for user 100A and the survey for user 100B to the user administrator 100C.

[0026] The information processing device of the user administrator 100C receives the questionnaire. The user administrator 100C uses the information processing device to check the questionnaire. The user administrator 100C decides whether or not to send the questionnaire to the users 100A and 100B, taking into consideration the burden of answering the questionnaire. If the user administrator 100C decides to send the questionnaire to the user 100A, the information processing device of the user administrator 100C sends the questionnaire for the user 100A to the user 100A. The information processing device of the user 100A receives the questionnaire. If the user administrator 100C decides to send the questionnaire to the user 100B, the information processing device of the user administrator 100C sends the questionnaire for the user 100B to the user 100B. The information processing device of the user 100B receives the questionnaire.

[0027] In the above, the transmission unit 14 has transmitted a questionnaire to the user administrator 100C, but the present invention is not limited to this process. The transmission unit 14 may transmit a questionnaire for the user 100A to the user 100A. The transmission unit 14 may transmit a questionnaire for the user 100B to the user 100B.

[0028] The users 100A and 100B use an information processing device to answer the questionnaire. For example, the users 100A and 100B display the questionnaire on a display unit of the information processing device and answer the questionnaire by operating the information processing device.

[0029] In step S6, the receiving unit 11 receives the questionnaires answered by the users 100A and 100B. The control unit 12 acquires the questionnaires answered by the users 100A and 100B. In step S7, the control unit 12 links the user information of each user, the questionnaire determination result, and the questionnaires answered by each user with the questionnaire IDs assigned to the questionnaires, and stores them in the storage unit 13. The control unit 12 links the user information of the user 100A, the questionnaire determination result, and the questionnaires answered by the user 100A with the questionnaire IDs assigned to the questionnaires, and stores them in the storage unit 13. The control unit 12 links the user information of the user 100B, the questionnaire determination result, and the questionnaires answered by the user 100B with the questionnaire IDs assigned to the questionnaires, and stores them in the storage unit 13.

[0030] By monitoring the measured value by the sensor 3, it is determined whether or not the survey should be output. In this way, it is possible to determine whether or not the survey should be output, taking into consideration whether or not a cause that affects the engagement of each user has occurred. By outputting the questionnaire based on the user information and the questionnaire determination result, it is possible to appropriately conduct the questionnaire to grasp the engagement of each user.

[0031] First Embodiment 3 is a schematic configuration diagram of the support device according to the first embodiment. The support system includes a survey device 1, a management device 2, and sensors 3A and 3B. The survey device 1 includes a receiving unit 11, a control unit 12, a storage unit 13, and a transmitting unit 14.

[0032] The sensor 3A is a wearable sensor that can be worn by the user 100A. The sensor 3A may also be incorporated in a wearable terminal that can be worn by the user 100A. The sensor 3B is a wearable sensor that can be worn by the user 100B. The sensor 3B may also be incorporated in a wearable terminal that can be worn by the user 100B. The sensors 3A and 3B are vital sensors configured to be capable of measuring or detecting vital information such as heart rate, pulse, body temperature, and blood pressure.

[0033] The sensor 3A measures vital information of the user 100A and sends the measurement values ​​(measurement data) of the vital information of the user 100A to the management device 2. The sensor 3B measures vital information of the user 100B and sends the measurement values ​​(measurement data) of the vital information of the user 100B to the management device 2. The vital information may include at least one of a heart rate, a pulse rate, a body temperature, and a blood pressure. The sensor 3A may send time series data of the measurement values ​​of the vital information of the user 100A to the management device 2. The sensor 3B may send time series data of the measurement values ​​of the vital information of the user 100B to the management device 2. The sensors 3A and 3B may send a measurement value in a unit time (for example, a heart rate in one minute) to the management device 2. The sensors 3A and 3B may send an average value of the measurement values ​​in a unit time (for example, an average body temperature in one minute) to the management device 2.

[0034] The management device 2 acquires the measurement values ​​of the vital information of the worker from the sensors 3A and 3B. In the example shown in FIG. 3, the management device 2 acquires the measurement values ​​of the vital information of the user 100A from the sensor 3A, and acquires the measurement values ​​of the vital information of the user 100B from the sensor 3B. The management device 2 transmits the measurement values ​​of the vital information of the user 100A and information identifying the worker to the receiving unit 11. In the case of the user 100A, the information identifying the worker includes, for example, the user name and identification number of the user 100A. The management device 2 transmits the measurement values ​​of the vital information of the user 100B and information identifying the worker to the receiving unit 11. In the case of the user 100B, the information identifying the worker includes, for example, the user name and identification number of the user 100B.

[0035] The sensor 3C may capture images of the entire or part of the production site and output video data of the production site. The sensor 3C may capture images of the movements of workers at the production site and output video data of the workers. The management device 2 acquires the video data from the sensor 3C. The management device 2 transmits worker information at the current production site to the receiving unit 11. The receiving unit 11 receives the worker information. The worker information includes the personal identification number and video data of the worker at the production site. The video data includes at least one of video images of the production site and video images of the workers.

[0036] (Example of survey device operation) Fig. 4 is a flowchart showing an example of the operation of the survey device 1. An example of the operation of the survey device 1 will be described with reference to the flowchart of Fig. 4. In step S11, the receiving unit 11 receives the measurement values ​​of the vital information of users 100A and 100B and information identifying the worker.

[0037] In step S12, the control unit 12 monitors the measured values ​​of the vital information. Based on this, the control unit 12 determines whether or not it is necessary to output the questionnaire. The control unit 12 also outputs a determination result of whether or not it is necessary to output the questionnaire (hereinafter referred to as the questionnaire determination result). The control unit 12 may determine whether or not it is necessary to output the questionnaire based on the presence or absence of fluctuations in the measurement values ​​of the vital information. Examples of fluctuations in the measurement values ​​of the vital information include an abnormal increase or decrease in the measurement values ​​of the vital information, and irregularities in the measurement values ​​of the vital information. Furthermore, fluctuations in the measurement values ​​of the vital information do not mean minute fluctuations, but fluctuations that do not satisfy the judgment criteria.

[0038] The control unit 12 may compare the measurement value of the vital information with a criterion for judging the vital information to judge whether or not there is a fluctuation in the measurement value of the vital information. The criterion for judging the vital information may be stored in the storage unit 13 or in another storage unit. The criterion for judging the vital information may be an upper limit value, a lower limit value, a threshold value, a predetermined range, or the like. The control unit 12 may judge whether or not the measurement value of the vital information satisfies the criterion by using the upper limit value, the lower limit value, the threshold value, the predetermined range, or the like. The control unit 12 may use an instantaneous value, a representative value, a statistical value (average, maximum, minimum, median value, variance, standard deviation), or the like as the measurement value of the vital information. The control unit 12 may input time series data of the measurement value of the vital information to a machine learning model to judge whether or not there is a fluctuation in the measurement value of the vital information.

[0039] The control unit 12 may compare the measurement value of the vital information with a criterion and determine whether or not there is a fluctuation in the measurement value of the vital information based on whether or not the measurement value of the vital information satisfies the criterion. If the measurement value of the vital information exceeds the criterion, the control unit 12 may determine that the measurement value of the vital information does not satisfy the criterion and detect the occurrence of a fluctuation in the measurement value of the vital information. For example, if the worker's respiratory rate suddenly increases, the measurement value of the vital information will rise abnormally, and the control unit 12 will detect the abnormal rise in the measurement value of the vital information as a fluctuation in the measurement value of the vital information.

[0040] The control unit 12 may determine the presence or absence of a fluctuation in the measurement value of the vital information based on at least one of the frequency and the period during which the measurement value of the vital information does not satisfy the judgment criterion. When the number of times the measurement value of the vital information does not satisfy the judgment criterion is equal to or greater than a predetermined number of times, the control unit 12 may detect the occurrence of a fluctuation in the measurement value of the vital information. The control unit 12 may determine the presence or absence of a fluctuation in the measurement value of the vital information based on the frequency with which the measurement value of the vital information exceeds the judgment criterion. When the measurement value of the vital information exceeds the judgment criterion a predetermined number of times within a predetermined period (e.g., 10 minutes, 1 hour, 1 day, 1 week, 1 month, etc.), the control unit 12 may detect the occurrence of a fluctuation in the measurement value of the vital information. The predetermined number of times can be set arbitrarily. By setting the predetermined number of times to a plurality of times, it is possible to suppress overdetection of the occurrence of a fluctuation in the measurement value of the vital information. When the period during which the measurement value of the vital information does not satisfy the judgment criterion is equal to or greater than a predetermined period, the control unit 12 may detect the occurrence of a fluctuation in the measurement value of the vital information. The predetermined period can be set arbitrarily.

[0041] The control unit 12 may use a plurality of thresholds to determine whether or not there is a change in the measurement value of the vital information. The control unit 12 may compare the magnitude relationship between the measurement value of the vital information and a first threshold value of the vital information to determine whether or not there is a change in the measurement value of the vital information. When the measurement value of the vital information exceeds the first threshold value of the vital information a first predetermined number of times within a predetermined period, the control unit 12 may detect the occurrence of a change in the measurement value of the vital information. The first predetermined number of times is a plurality of times and can be set arbitrarily. For example, by setting the first predetermined number of times to a plurality of times, it is possible to prevent overdetection of the occurrence of a change in the measurement value of the vital information.

[0042] The control unit 12 may compare the measured value of the vital information with a second threshold value of the vital information to determine whether or not there is a fluctuation in the measured value of the vital information. The second threshold value of the vital information is a value greater than the first threshold value of the vital information. When the measured value of the vital information exceeds the second threshold value of the vital information a second predetermined number of times, the control unit 12 determines whether or not there is a fluctuation in the measured value of the vital information. may be detected. The second predetermined number of times can be set arbitrarily. The first predetermined number of times may be set to multiple times, and the second predetermined number of times may be set to one time. The first predetermined number of times and the second predetermined number of times may be set to multiple times, and the first predetermined number of times may be set to a number greater than the second predetermined number of times. This makes it possible to prevent overdetection of fluctuations in the measurement values ​​of the vital information and to detect large fluctuations in the measurement values ​​of the vital information.

[0043] The control unit 12 may determine whether or not there is a fluctuation in the measurement value of the vital information based on a period during which the measurement value of the vital information exceeds the judgment criterion. For example, when the measurement value of the vital information exceeds the judgment criterion for 10% or more of the entire work period, the control unit 12 may detect the occurrence of a fluctuation in the measurement value of the vital information. The control unit 12 may determine whether or not there is a fluctuation in the measurement value of the vital information based on the magnitude of intraday fluctuation in the measurement value of the vital information. For example, when the difference value between the measurement value of the vital information at the time of coming to work or during a break and the measurement value of the vital information during work exceeds the judgment criterion, the control unit 12 may detect the occurrence of a fluctuation in the measurement value of the vital information.

[0044] The control unit 12 may determine whether or not there is a fluctuation in the measurement value of the vital information based on time series data of the measurement value of the vital information. For example, the control unit 12 collects time series data of the measurement value of the vital information for the week prior to the specified week, and calculates the average value of the measurement value of the vital information. The control unit 12 collects time series data of the measurement value of the vital information for the specified week, and calculates the average value of the measurement value of the vital information. When the difference between the average value of the measurement value of the vital information for the week prior to the specified week and the average value of the measurement value of the vital information for the specified week exceeds a determination criterion, the control unit 12 may detect the occurrence of a fluctuation in the measurement value of the vital information.

[0045] The sensors 3A and 3B may be vital sensors configured to measure or detect vital information such as the number of steps, body movement, and myoelectricity. The vital information may include at least one of the number of steps, body movement, and myoelectricity. The control unit 12 collects time series data of the measurement values ​​of the vital information for one week and calculates the average value of the measurement values ​​of the vital information for one day. When the difference between the average value of the measurement values ​​of the vital information for the previous week of the specified week and the average value of the measurement values ​​of the vital information for the specified week exceeds a judgment criterion, the control unit 12 may detect the occurrence of a fluctuation in the measurement values ​​of the vital information. For example, when the average number of steps of the worker in one day in the specified week becomes suddenly smaller than the average number of steps of the worker in one day in the week before the specified week, the measurement value of the vital information drops abnormally. The control unit 12 detects the abnormal drop in the measurement value of the vital information as the occurrence of a fluctuation in the measurement value of the vital information.

[0046] The control unit 12 may index the fluctuation of the measurement value of the vital information within a day based on the measurement value of the vital information, and detect the presence or absence of fluctuation of the measurement value of the vital information based on the indexed index data. For example, if the heart rate fluctuation within a day is large, it is assumed that the worker is under strong stress.

[0047] When the control unit 12 detects the occurrence of a fluctuation in the measurement value of the vital information, it determines that a questionnaire needs to be output, and outputs a questionnaire determination result. In this case, the questionnaire determination result includes a result indicating that a questionnaire needs to be output. The questionnaire determination result may also include a result indicating that the occurrence of a fluctuation in the measurement value of the vital information has been detected.

[0048] When no fluctuation in the measurement value of the vital information is detected within a predetermined period, the control unit 12 determines that output of the questionnaire is unnecessary and outputs a questionnaire determination result. In this case, the questionnaire determination result includes a result indicating that output of the questionnaire is unnecessary. The questionnaire determination result may also include a result indicating that no fluctuation in the measurement value of the vital information is detected within a predetermined period.

[0049] The control unit 12 may determine whether or not a questionnaire needs to be output for the worker himself / herself by monitoring the measured value of the vital information of the worker himself / herself. The control unit 12 is capable of identifying the worker himself / herself based on information identifying the worker. In the example shown in FIG. 3, the control unit 12 may determine whether or not a questionnaire needs to be output for the user 100A by monitoring the measured value of the vital information of the user 100A. The control unit 12 does not determine whether or not a questionnaire needs to be output for the user 100B.

[0050] The control unit 12 may determine whether or not to output a questionnaire for a plurality of workers by monitoring the measurement value of vital information of one of the plurality of workers (a monitored person). The monitored person may be determined in advance by a schedule or the like. The control unit 12 can identify the monitored person based on information identifying the worker. The plurality of workers includes workers who work at the same production site, workers in the same team, workers in charge of the same work, workers on the same production line, and the like. In the example shown in FIG. 3, the control unit 12 may determine whether or not to output a questionnaire for the users 100A and 100B by monitoring the measurement value of vital information of the user 100A.

[0051] The control unit 12 may determine whether or not a questionnaire needs to be output for one of the multiple workers (a questionnaire target) by monitoring the measured values ​​of the vital information of the multiple workers. The questionnaire target may be determined in advance by a schedule or the like. Alternatively, the control unit 12 may determine whether or not a questionnaire needs to be output for the multiple workers by monitoring the measured values ​​of the vital information of the multiple workers. The multiple workers include workers who work at the same production site, workers in the same team, workers in charge of the same work, workers in the same production line, and the like. The control unit 12 may determine that a questionnaire needs to be output when a fluctuation in the measured values ​​of the vital information of all of the multiple workers is detected. The control unit 12 may determine that a questionnaire needs to be output when a fluctuation in the measured values ​​of the vital information of a predetermined number of the multiple workers is detected. The predetermined number may be a majority, or may be 1 or more and less than a majority. For example, the control unit 12 may determine that a questionnaire needs to be output when a fluctuation in the measured values ​​of the vital information of a majority of the multiple workers is detected, thereby preventing excessive output of questionnaires.

[0052] In the above, the control unit 12 performs a process of determining whether or not there is a change in the measured value of the vital information, but the process is not limited to this. The management device 2 may determine whether or not there is a change in the measured value of the vital information. In this case, the management device 2 outputs a determination result of whether or not there is a change in the measured value of the vital information, and transmits the determination result to the receiving unit 11. The control unit 12 may determine whether or not there is a need to output a questionnaire based on the determination result determined by the management device 2.

[0053] In step S13, the control unit 12 outputs a questionnaire with a questionnaire ID assigned based on the user information and the questionnaire determination result. This user information is the user information of the worker for whom the need for outputting the questionnaire was determined. For example, if the need for outputting a questionnaire for user 100A is determined, the control unit 12 outputs a questionnaire for user 100A based on the user information of user 100A and the questionnaire determination result for user 100A. If the questionnaire determination result includes a result indicating that outputting the questionnaire is necessary, the control unit 12 outputs a questionnaire for each user according to the user information. If the questionnaire determination result includes a result indicating that outputting the questionnaire is not necessary, the control unit 12 does not output the questionnaire.

[0054] The control unit 12 may output a questionnaire suitable for each user based on the user information and the questionnaire determination result. The questionnaire suitable for each user is, for example, a questionnaire for investigating the cause of fluctuation in the measurement value of the vital information. The contents of the questionnaire for investigating the cause of fluctuation in the measurement value of the vital information (questions to the user, etc.) are determined according to the user information. The content of the questionnaire is based on the user's information. The causes of fluctuations in the measurement value of the vital information vary depending on the industry, and if the content of the questionnaire for investigating the cause of the fluctuation in the measurement value of the vital information is standardized, the cause may not be properly investigated. For example, if the industry included in the user information is automobiles and if the industry included in the user information is food, it is preferable to change the content of the questionnaire for each user information. By making the content of the questionnaire for investigating the cause of the fluctuation in the measurement value of the vital information correspond to the user information, the control unit 12 may output a questionnaire suitable for each user.

[0055] The cause of the change in the measurement value of the vital information may differ depending on the user type. For example, assume that the user type included in the user information of user 100A is a temporary worker, and the user type included in the user information of user 100B is a staff member. If the work content of the temporary worker and the work content of the staff are the same, the cause of the change in the measurement value of the vital information is likely to be the same for both users, and it is preferable to make the contents of the questionnaire the same. If the work content of the temporary worker and the work content of the staff are different, the cause of the change in the measurement value of the vital information varies depending on the work content, and it is preferable to change the contents of the questionnaire for each user information. The control unit 12 may output a questionnaire suitable for each user by making the contents of the questionnaire for investigating the cause of the change in the measurement value of the vital information correspond to the user information.

[0056] The contents of the questionnaire for investigating the cause of the fluctuation of the measurement value of the vital information may be contents according to the type of vital information, and may be different for each type of vital information. The control unit 12 determines the type of vital information from the measurement value of the vital information. In this case, the questionnaire determination result may include the type of vital information. For example, when the measurement value of the vital information is a heart rate, the control unit 12 determines that the type of vital information is a heart rate. The cause of the fluctuation of the measurement value of the vital information may differ depending on the type of vital information. For example, when the type of vital information is a heart rate and the measurement value of the vital information fluctuates, there is a possibility that an unexpected event occurred during work. An example of an unexpected event is an event that did not result in an accident but may lead to an accident. For example, when the type of vital information is a body temperature and the measurement value of the vital information fluctuates, there is a possibility that the temperature at the production site is not appropriate. In such a case, it is preferable that the contents of the questionnaire for investigating the cause of the fluctuation of the measurement value of the vital information be contents according to the type of vital information. When outputting a questionnaire suited to each user, the control unit 12 may set the contents of the questionnaire for investigating the cause of fluctuations in the measurement values ​​of the vital information according to the type of vital information.

[0057] The control unit 12 may extract a questionnaire for each user from the memory unit 13 and output the extracted questionnaire. In this case, a plurality of questionnaires are stored in the memory unit 13. A questionnaire ID is assigned to each of the plurality of questionnaires. The questionnaire ID is identification information for identifying each of the plurality of questionnaires. The control unit 12 manages the plurality of questionnaires by the respective questionnaire IDs assigned to the plurality of questionnaires. Alternatively, the control unit 12 may create a questionnaire for each user, assign a questionnaire ID to the questionnaire, and output the questionnaire to which the questionnaire ID is assigned.

[0058] In step S14, the control unit 12 links the user information and the survey determination result by the survey ID and stores them in the memory unit 13. When the control unit 12 extracts a survey from the memory unit 13 and outputs the survey, a survey ID is assigned to the survey extracted from the memory unit 13. Therefore, the control unit 12 links the user information and the survey determination result using the survey ID assigned to the survey. When the control unit 12 creates a survey and outputs the survey, the control unit 12 assigns a survey ID and assigns the assigned survey ID. Therefore, the control unit 12 assigns the assigned survey ID to the survey. The user information and the survey determination result are linked by using the survey ID. Fig. 5A is a schematic diagram showing an example of a data structure stored in the storage unit 13. As shown in Fig. 5A, the user information and the survey determination result are linked by the survey ID.

[0059] The control unit 12 may output moving image data. The moving image data includes at least one of a moving image of the production site and a moving image of the worker. The moving image data may include a moving image of a predetermined time including a timing when the measured value of the vital information changed. The control unit 12 stores the user information, the questionnaire determination result, the moving image data, and the personal identification number in the memory unit 13, linking them with the questionnaire ID. FIG. 5B is a schematic diagram showing an example of a data structure stored in the memory unit 13. As shown in FIG. 5B, the user information, the questionnaire determination result, the moving image data, and the personal identification number are linked with the questionnaire ID.

[0060] In step S15, the transmitting unit 14 executes the questionnaire transmission process and the video data transmission process at an arbitrary timing. The arbitrary timing is not particularly limited. The transmitting unit 14 may execute the questionnaire transmission process and the video data transmission process immediately after the user information and the questionnaire judgment result are stored in the memory unit 13. The transmitting unit 14 may also execute the questionnaire transmission process and the video data transmission process during a break or at the end of work, etc. The transmitting unit 14 may execute the questionnaire transmission process and the video data transmission process at different timings.

[0061] The following describes the process of conducting a questionnaire for user 100A, but the process is similar for conducting a questionnaire for user 100B. Based on the destination information stored in the memory unit 13, the transmission unit 14 transmits the questionnaire and video data to at least one of the user 100A and the user administrator 100C. For example, the transmission unit 14 transmits the questionnaire and video data to the information processing device of the user 100A. For example, the transmission unit 14 transmits the questionnaire and video data to the information processing device of the user administrator 100C. The user 100A and the user administrator 100C receive the questionnaire and video data using their information processing devices.

[0062] The transmission unit 14 may transmit the questionnaire and the video data only to the user administrator 100C. In this case, the transmission unit 14 may make a prior inquiry to the user administrator 100C before sending the questionnaire. The user administrator 100C receives the questionnaire and the video data using an information processing device. The user 100A's answering the questionnaire may be a time burden and a mental burden on the user 100A. The user administrator 100C may decide whether or not to transmit the questionnaire to the user 100A, taking into consideration the time burden and the mental burden on the user 100A. When the user administrator 100C decides to transmit the questionnaire to the user 100A, the user administrator 100C transmits the questionnaire and the video data to the user 100A using an information processing device. The user administrator 100C may also determine the timing for transmitting the questionnaire and the video data to the user 100A, and transmit the questionnaire and the video data to the user 100A at the determined timing using the information processing device. The user 100A receives the questionnaire and the video data using the information processing device.

[0063] User 100A uses an information processing device to answer the questionnaire and transmits the answered questionnaire to survey device 1. User 100A may answer the questionnaire on the Web. User 100A may answer the questionnaire while checking video data. By checking the video data, user 100A can answer the questionnaire while looking back on the situation when the measurement value of the vital information changed.

[0064] FIG. 6 is a diagram showing an example of a questionnaire screen 30 displayed on the display unit of an information processing device. 6. Questions are displayed in areas 41-43 on screen 30. Answers to the questions are input in areas 51-53 on screen 30. For example, user 100A displays a questionnaire on the display unit of the information processing device and answers the questions by operating the information processing device. The method of answering the questions is not limited to screen 30 shown in FIG. 6, and may be a selection method. For example, user 100A may answer the questions by operating the information processing device and selecting any one or more options from a plurality of options. Furthermore, when area 61 is selected, video data is played and the video is displayed on the display unit of the information processing device.

[0065] In step S16, the receiving unit 11 receives the questionnaire to which the user 100A has responded. In step S17, the control unit 12 links the user information of the user 100A, the questionnaire determination result, and the questionnaire to which the user 100A has responded by a questionnaire ID, and stores them in the storage unit 13. This questionnaire ID is the questionnaire ID of the questionnaire to which the user 100A has responded, and is the same as the questionnaire ID of the questionnaire sent to the user 100A. The questionnaire to which the user 100A has responded includes questions for the user 100A and answers to those questions. FIG. 7A is a schematic diagram showing an example of a data structure stored in the storage unit 13. As shown in FIG. 7A, the user information, the questionnaire determination result, and the questionnaire are linked by a questionnaire ID.

[0066] The control unit 12 may store in the memory unit 13 the user information of the user 100A, the questionnaire determination result, the questionnaire answered by the user 100A, the video data, and the personal identification number, linked by a questionnaire ID. FIG. 7B is a schematic diagram showing an example of a data structure stored in the memory unit 13. As shown in FIG. 7B, the user information, the questionnaire determination result, the questionnaire, the video data, and the personal identification number are linked by the questionnaire ID. The user administrator 100C may extract the user information, the questionnaire determination result, the questionnaire, and the video data from the memory unit 13 based on the personal identification number. The user administrator 100C may analyze the data extracted from the memory unit 13.

[0067] By monitoring the measured value of the vital information, it is determined whether or not a questionnaire needs to be output. For example, by comparing the measured value of the vital information with a determination criterion, an increase or decrease in the measured value of the vital information is detected as an occurrence of a fluctuation in the measured value of the vital information. In this way, it is possible to determine whether or not a questionnaire needs to be output, taking into consideration whether or not a fluctuation in the measured value of the vital information has occurred. Then, a questionnaire for each user is output based on the user information of each user and the questionnaire determination result, making it possible to appropriately conduct a questionnaire to grasp the engagement of each user.

[0068] For example, when the measurement value of the vital information exceeds the vital information judgment criterion, it is decided to output a questionnaire, and a questionnaire is conducted to investigate the cause of the measurement value of the vital information exceeding the vital information judgment criterion. In this way, the fluctuation in the measurement value of the vital information is used as a trigger to output a questionnaire to investigate the cause of the fluctuation in the measurement value of the vital information. This makes it possible to appropriately conduct the questionnaire to investigate the cause of the fluctuation in the measurement value of the vital information. In addition, the administrator can also conduct the questionnaire for each user at an appropriate timing by determining the timing to send the questionnaire to each user.

[0069] For example, the user manager 100C can appropriately grasp the engagement and psychological state of each user by analyzing data related to each user that is linked to a questionnaire ID and stored in the storage unit 13. For example, the user manager 100C can appropriately grasp the engagement and psychological state of each user when the measured value of the vital information of each user changes by analyzing the responses to the questionnaire (questionnaire results), and can detect signs of work-related accidents. This makes it possible to take measures before a major industrial accident occurs, thereby reducing loss costs, and at the same time, by creating a sense of fulfillment and ease in the work of workers at the right time, the organization can be strengthened.

[0070] <Modification> The sensors 3A and 3B may be detection devices (abnormality detection units) attached to production equipment at the production site. For example, the sensors 3A and 3B may be monitoring sensors that monitor the production equipment. The sensors 3A and 3B may measure the vibration of the production equipment and send the measured value of the vibration of the production equipment to the management device 2. The sensors 3A and 3B may send time series data of the measured value of the vibration of the production equipment to the management device 2. The sensors 3A and 3B may measure abnormal sounds of the production equipment and send the measured value of the abnormal sounds of the production equipment to the management device 2. The sensors 3A and 3B may send time series data of the measured value of the abnormal sounds of the production equipment to the management device 2. The sensors 3A and 3B may send the measured value in a unit time (for example, the number of vibrations in one minute) to the management device 2. The sensors 3A and 3B may send the average value of the measured value in a unit time (for example, the average number of vibrations in one minute) to the management device 2. The operation of the survey device 1 in the modified example is similar to the example of the operation of the survey device 1 shown in FIG. 4, and therefore a description thereof will be omitted.

[0071] By monitoring the measured values ​​of the production equipment at the production site, it is determined whether or not a questionnaire needs to be output. For example, by comparing the measured values ​​of the production equipment with a determination criterion, an increase or decrease in the measured values ​​of the production equipment is detected as an occurrence of a fluctuation in the measured values ​​of the production equipment. In this way, it is possible to determine whether or not a questionnaire needs to be output, taking into consideration whether or not a fluctuation in the measured values ​​of the production equipment has occurred. Then, a questionnaire for each user is output based on the user information of each user and the questionnaire determination result, making it possible to appropriately conduct a questionnaire to grasp the engagement of each user.

[0072] <Second embodiment> 8 is a schematic configuration diagram of a support device according to the second embodiment. The support device includes a survey device 1, a management device 2, and a sensor 3D. The survey device 1 includes a receiving unit 11, a control unit 12, a storage unit 13, and a transmitting unit 14.

[0073] The sensor 3D is a measuring device that measures the number of products produced by the production device 4. The production device 4 is a device that performs processes such as processing, assembly, and inspection on a workpiece to produce a product. The number of production devices 4 may be one or more. The workpiece is, for example, a final product, an intermediate product, a part, or a material. The users 100A and 100B instruct the production device 4 to perform each process, or operate the production device 4 to perform each process. The sensor 3D has an imaging device such as a camera and an analysis device that analyzes image data captured by the imaging device. The sensor 3D captures an image of a product produced by the production device 4 and outputs at least one of still image data and moving image data of the product. The sensor 3D measures the number of products produced by the production device 4 by analyzing at least one of the still image data and moving image data of the product.

[0074] The sensor 3D may measure the number of products produced on a monthly, weekly, daily or hourly basis. The sensor 3D may measure the number of products produced throughout the entire production site. The sensor 3D may measure the number of products produced by a production line in which one or more production devices 4 are arranged. The sensor 3D may measure the number of products produced by multiple production lines. The sensor 3D may measure the number of products produced by at least one of the multiple production lines. Multiple sensors 3D and multiple production devices 4 may be arranged in the manufacturing site, and each sensor 3D may measure the number of products produced by each production device 4.

[0075] The sensor 3D measures the production number of products (hereinafter simply referred to as the production number) produced by the production device 4, and sends the measurement value of the production number (measurement data) to the management device 2. The management device 2 acquires the measurement value of the production number from the sensor 3D.

[0076] The sensor 3D may capture an image of the whole or part of the production site and output video data of the production site. The sensor 3D may capture an image of the movements of a worker at the production site and output video data of the worker. The management device 2 acquires the video data from the sensor 3D. The management device 2 transmits information about the worker at the current production site (personal identification number, video data, etc.) to the receiving unit 11. The receiving unit 11 receives the worker information.

[0077] The management device 2 monitors the measured value of the production number to determine whether or not there is a fluctuation in the measured value of the production number. The management device 2 outputs a determination result indicating whether or not there is a fluctuation in the measured value of the production number. Examples of fluctuations in the measured value of the production number include a sudden drop in the measured value of the production number and a continuous drop in the measured value of the production number. Furthermore, a fluctuation in the measured value of the production number does not mean a minute fluctuation, but a fluctuation that does not satisfy a determination criterion. When the management device 2 detects the occurrence of a fluctuation in the measured value of the production number, it outputs a determination result indicating that a fluctuation in the measured value of the production number has occurred. When the management device 2 does not detect the occurrence of a fluctuation in the measured value of the production number within a predetermined period, it may output a determination result indicating that a fluctuation in the measured value of the production number has not been detected within the predetermined period.

[0078] The management device 2 may compare the measured value of the production number with the judgment criterion for the production number to determine whether or not the measured value of the production number fluctuates. The judgment criterion for the production number may be stored in a storage unit included in the management device 2, or may be stored in an external storage unit connected to the management device 2. The judgment criterion for the production number may be, for example, a target production number of the product. The judgment criterion for the production number may be an upper limit value, a lower limit value, a threshold value, a predetermined range, or the like. The management device 2 may determine whether or not the measured value of the production number satisfies the judgment criterion by using the upper limit value, the lower limit value, the threshold value, the predetermined range, or the like. The management device 2 may use an instantaneous value, a representative value, a statistical value (average, maximum, minimum, median, variance, standard deviation), or the like, as the measured value of the production number. The management device 2 may input time series data of the measured value of the production number into a machine learning model to determine whether or not the measured value of the production number fluctuates.

[0079] The management device 2 may compare the measured value of the production number with a criterion and determine whether or not the measured value of the production number fluctuates based on whether or not the measured value of the production number satisfies the criterion. If the measured value of the production number falls below the criterion, the management device 2 may determine that the measured value of the production number does not satisfy the criterion and detect the occurrence of a fluctuation in the measured value of the production number.

[0080] The management device 2 may determine the presence or absence of a fluctuation in the measured value of the production number based on at least one of the frequency and the period during which the measured value of the production number does not satisfy the judgment criterion. When the number of times the measured value of the production number does not satisfy the judgment criterion is equal to or greater than a predetermined number of times, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The management device 2 may determine the presence or absence of a fluctuation in the measured value of the production number based on the frequency with which the measured value of the production number falls below the judgment criterion. When the measured value of the production number falls below the judgment criterion a predetermined number of times within a predetermined period (e.g., one hour, one day, one week, one month, etc.), the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The predetermined number of times can be set arbitrarily. By setting the predetermined number of times to multiple times, it is possible to prevent overdetection of the occurrence of a fluctuation in the measured value of the production number. When the period during which the measured value of the production number does not satisfy the judgment criterion is equal to or greater than a predetermined period, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The predetermined period can be set arbitrarily.

[0081] The management device 2 may use a plurality of thresholds to determine whether or not there is a fluctuation in the measured value of the production number. The management device 2 may compare the magnitude relationship between the measured value of the production number and a first threshold value of the production number to determine whether or not there is a fluctuation in the measured value of the production number. When the measured value of the production number falls below the first threshold value of the production number a first predetermined number of times within a predetermined period of time, the management device 2 detects the occurrence of a fluctuation in the measured value of the production number. The first predetermined number of times is a number of times and can be set arbitrarily. For example, by setting the first predetermined number of times to a number of times, it is possible to prevent overdetection of fluctuations in the measured value of the production volume.

[0082] The management device 2 may compare the measured value of the production number with a second threshold value of the production number to determine whether or not there is a fluctuation in the measured value of the production number. The second threshold value of the production number is a value smaller than the first threshold value of the production number. When the measured value of the production number falls below the second threshold value of the production number a second predetermined number of times, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The second predetermined number of times can be set arbitrarily. The first predetermined number of times may be set to multiple times, and the second predetermined number of times may be set to one time. The first predetermined number of times and the second predetermined number of times may be set to multiple times, and the first predetermined number of times may be set to a number larger than the second predetermined number of times. This makes it possible to prevent overdetection of the occurrence of a fluctuation in the measured value of the production number and to detect a large fluctuation in the measured value of the production number.

[0083] The management device 2 may determine whether or not there is a fluctuation in the measured value of the production number based on a period during which the measured value of the production number is below the judgment criterion. For example, when the measured value of the production number is below the judgment criterion for 10% or more of the entire work period, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The management device 2 may determine whether or not there is a fluctuation in the measured value of the production number based on the magnitude of intraday fluctuation in the measured value of the production number. For example, when the difference between the measured value of the production number in the morning and the measured value of the production number in the afternoon is below the judgment criterion, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number.

[0084] The management device 2 may determine whether or not there is a fluctuation in the measured value of the production number based on time series data of the measured value of the production number. For example, the management device 2 collects time series data of the measured value of the production number for the week prior to the specified week, and calculates the average value of the measured value of the production number. The management device 2 collects time series data of the measured value of the production number for the specified week, and calculates the average value of the measured value of the production number. When the difference between the average value of the measured value of the production number for the week prior to the specified week and the average value of the measured value of the production number for the specified week falls below a determination criterion, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number.

[0085] When the management device 2 detects the occurrence of a fluctuation in the measured value of the production number, it outputs a judgment result (hereinafter referred to as a production number judgment result) that judges whether or not there is a fluctuation in the measured value of the production number. In this case, the production number judgment result includes a result indicating that the occurrence of a fluctuation in the measured value of the production number has been detected. When the management device 2 does not detect the occurrence of a fluctuation in the measured value of the production number within a predetermined period, it may output the production number judgment result. In this case, the production number judgment result includes a result indicating that the occurrence of a fluctuation in the measured value of the production number has not been detected within a predetermined period.

[0086] The management device 2 transmits the production volume determination result and information on the worker at the current production site to the receiving unit 11. The worker information includes the personal identification number and video data of the worker at the production site. The video data includes at least one of a video of the production site and a video of the worker.

[0087] (Example of survey device operation) Fig. 9 is a flowchart showing an example of the operation of the survey device 1. An example of the operation of the survey device 1 will be described with reference to the flowchart of Fig. 9. In step S21, the receiving unit 11 receives the production number determination result and the worker information. The control unit 12 acquires the production number determination result and the worker information from the receiving unit 11.

[0088] In step S22, the control unit 12 determines whether or not it is necessary to output a questionnaire based on the production number determination result. The control unit 12 also outputs the determination result of whether or not it is necessary to output a questionnaire (hereinafter, referred to as a questionnaire determination result).

[0089] When the production number determination result includes a result indicating that a fluctuation in the measurement value of the production number has been detected, the control unit 12 determines that a questionnaire needs to be output, and outputs the questionnaire determination result. In this case, the questionnaire determination result includes a result indicating that a questionnaire needs to be output. The questionnaire determination result may also include a result indicating that a fluctuation in the measurement value of the production number has been detected.

[0090] If the production number determination result includes a result indicating that no fluctuation in the production number measurement value has been detected within a specified period, the control unit 12 determines that it is not necessary to output the questionnaire, and outputs the questionnaire determination result. If the production number determination result does not include a result indicating that a fluctuation in the production number measurement value has been detected, the control unit 12 determines that it is not necessary to output the questionnaire, and outputs the questionnaire determination result. In these cases, the questionnaire determination result includes a result indicating that it is not necessary to output the questionnaire. The questionnaire determination result may also include a result indicating that no fluctuation in the production number measurement value has been detected within a specified period.

[0091] In the above, the management device 2 performs a process to determine whether or not there is a fluctuation in the measured value of the production number, but the process is not limited to this. The control unit 12 may determine whether or not there is a fluctuation in the measured value of the production number. In this case, the management device 2 transmits the measured value of the production number to the receiving unit 11. The receiving unit 11 receives the measured value of the production number from the management device 2, and the control unit 12 acquires the measured value of the production number from the receiving unit 11. The control unit 12 may determine whether or not there is a fluctuation in the measured value of the production number by monitoring the measured value of the production number, and output a production number determination result.

[0092] The control unit 12 may determine whether or not a questionnaire needs to be output for multiple workers. The multiple workers include workers who work at the same production site, workers in the same team, workers in charge of the same work, workers on the same production line, etc. In the example shown in Fig. 8, the control unit 12 may determine whether or not a questionnaire needs to be output for users 100A and 100B.

[0093] The control unit 12 may determine whether or not a questionnaire needs to be output for one of the multiple workers (survey target). The survey target may be determined in advance based on a schedule or the like. Alternatively, the control unit 12 may determine whether or not a questionnaire needs to be output for multiple workers. Multiple workers include workers who work at the same production site, workers on the same team, workers in charge of the same work, workers on the same production line, etc.

[0094] In step S23, the control unit 12 outputs a questionnaire with a questionnaire ID assigned based on the user information and the questionnaire determination result. This user information is the user information of the worker for whom the need for outputting the questionnaire was determined. For example, if the need for outputting a questionnaire for user 100A is determined, the control unit 12 outputs a questionnaire for user 100A based on the user information of user 100A and the questionnaire determination result for user 100A. If the questionnaire determination result includes a result indicating that outputting the questionnaire is necessary, the control unit 12 outputs a questionnaire for each user according to the user information. If the questionnaire determination result includes a result indicating that outputting the questionnaire is not necessary, the control unit 12 does not output the questionnaire.

[0095] The control unit 12 may output a questionnaire suitable for each user based on the user information and the questionnaire judgment result. The questionnaire suitable for each user is, for example, a questionnaire for investigating the cause of fluctuation in the measured value of the production number. The cause of the fluctuation in the measured value of the production number includes the cause of the measured value of the production number falling below the judgment standard and the cause of the measured value of the production number decreasing. The content of the questionnaire for investigating the cause of the fluctuation in the measured value of the production number (questions to the user, etc.) corresponds to the user information. The cause of the fluctuation in the measured value of the production number varies depending on the industry, and if the content of the questionnaire for investigating the cause of the fluctuation in the measured value of the production number is uniform, it may not be possible to appropriately investigate the cause. For example, It is preferable to change the contents of the questionnaire for each user information when the industry included in the information is automobiles and when the industry included in the user information is food. By making the contents of the questionnaire for investigating the cause of fluctuations in the measured value of the production volume correspond to the user information, the control unit 12 may output a questionnaire suitable for each user.

[0096] The cause of the fluctuation in the measured value of the production number may differ depending on the user type. For example, assume that the work content included in the user information of user 100A is assembly work, and the work content included in the user information of user 100B is inspection work. The cause of the fluctuation in the measured value of the production number may differ between assembly work and inspection work, and it is preferable to change the content of the questionnaire for each piece of user information. By setting the content of the questionnaire for investigating the cause of the fluctuation in the measured value of the production number to be content according to the user information, control unit 12 may output a questionnaire suitable for each user.

[0097] The control unit 12 may extract a questionnaire for each user from the memory unit 13 and output the extracted questionnaire. In this case, a plurality of questionnaires are stored in the memory unit 13. A questionnaire ID is assigned to each of the plurality of questionnaires. The questionnaire ID is identification information for identifying each of the plurality of questionnaires. The control unit 12 manages the plurality of questionnaires by the respective questionnaire IDs assigned to the plurality of questionnaires. Alternatively, the control unit 12 may create a questionnaire suitable for each user, assign a questionnaire ID to the questionnaire, and output the questionnaire to which the questionnaire ID is assigned.

[0098] In step S24, the control unit 12 links the user information and the survey determination result by the survey ID and stores them in the storage unit 13. The process of storing the user information and the survey determination result in the storage unit 13 is similar to that in the first embodiment, and therefore a detailed description thereof will be omitted.

[0099] The control unit 12 may output moving image data. The moving image data includes at least one of a moving image of a production site and a moving image of a worker. The moving image data may include a moving image for a predetermined time. The control unit 12 stores the user information, the questionnaire determination result, the moving image data, and the personal identification number in the memory unit 13 by linking them with the questionnaire ID.

[0100] In step S25, the transmission unit 14 executes a process of transmitting the questionnaire and the video data at any timing. The process of transmitting the questionnaire and the video data is the same as that in the first embodiment, so a detailed description will be omitted. At least one of the user 100A and the user administrator 100C receives the questionnaire and the video data using an information processing device. The following describes the process of conducting a questionnaire for the user 100A, but the process is similar for conducting a questionnaire for the user 100B.

[0101] The user 100A uses an information processing device to answer the questionnaire and transmits the answered questionnaire to the survey device 1. The user 100A may answer the questionnaire on the Web. The user 100A may answer the questionnaire while checking video data. By checking the video data, the user 100A can answer the questionnaire while looking back on the situation when the measured value of the production volume decreased.

[0102] In step S26, the receiving unit 11 receives the survey to which the user 100A has responded. In step S27, the control unit 12 links the user information of the user 100A, the survey determination result, and the survey to which the user 100A has responded by a survey ID, and stores them in the storage unit 13. This survey ID is the survey ID of the survey to which the user 100A has responded, and is different from the survey ID of the survey sent to the user 100A. The questionnaire to which user 100A has responded includes questions for user 100A and answers to those questions.

[0103] The control unit 12 may link the user information of the user 100A, the questionnaire determination result, the questionnaire answered by the user 100A, the video data, and the personal identification number by a questionnaire ID and store them in the storage unit 13. The user administrator 100C may extract the user information, the questionnaire determination result, the questionnaire, and the video data from the storage unit 13 based on the personal identification number. The user administrator 100C may analyze the data extracted from the storage unit 13.

[0104] The measurement value of the number of products produced is monitored to determine whether or not a questionnaire needs to be output. For example, a decrease in the number of products produced is detected by comparing the measurement value of the number of products produced with a determination criterion. In this way, it is possible to determine whether or not a questionnaire needs to be output, taking into consideration whether or not the number of products produced has decreased. Then, a questionnaire for each user is output based on the user information of each user and the questionnaire determination result, making it possible to appropriately conduct a questionnaire to grasp the engagement of each user.

[0105] For example, when the production volume falls below the production volume criterion, a survey is conducted to investigate the cause of the fluctuation in the production volume measurement. In this way, the decline in the production volume measurement is used as a trigger to conduct a survey to investigate the cause of the fluctuation in the production volume measurement. This makes it possible to appropriately conduct a survey to investigate the cause when the production volume does not reach the target production volume. In addition, by conducting the survey at the time when the production volume measurement falls below the production volume criterion, it becomes possible to investigate the cause of the fluctuation in the production volume measurement at an appropriate time.

[0106] For example, the user administrator 100C can properly grasp the engagement and psychological state of each user by analyzing data related to each user that is linked to a questionnaire ID and stored in the memory unit 13. The user administrator 100C can properly grasp the engagement and psychological state of each user when the measured value of the production volume falls below the production volume judgment standard by analyzing the responses to the questionnaire (questionnaire results). The user administrator 100C can grasp the decline in motivation of each user by analyzing the responses to the questionnaire, and can thereby determine the cause of the decline in productivity.

[0107] <Third embodiment> 10 is a schematic configuration diagram of a support device according to a third embodiment. The support device includes a survey device 1, a management device 2, and a sensor 3E. The survey device 1 includes a receiving unit 11, a control unit 12, a storage unit 13, and a transmitting unit 14.

[0108] The sensor 3E is a measuring device that measures the number of products produced by the production device 4. The production device 4 is a device that performs processes such as processing, assembly, and inspection on a workpiece to produce a product. The number of production devices 4 may be one or more. The workpiece is, for example, a final product, an intermediate product, a part, or a material. The users 100A and 100B instruct the production device 4 to perform each process, or operate the production device 4 to perform each process. The sensor 3E has an imaging device such as a camera and an analysis device that analyzes image data captured by the imaging device. The sensor 3E captures an image of a product produced by the production device 4 and outputs at least one of still image data and moving image data of the product. The sensor 3E also captures an image of the movement of a worker (users 100A and 100B in FIG. 10) and outputs moving image data of the worker. The sensor 3E measures the number of products produced by the production device 4 by analyzing at least one of still image data and moving image data of the product.

[0109] The sensor 3E may measure the number of products produced on a monthly, weekly, daily or hourly basis. The sensor 3E may measure the number of products produced throughout the entire production site. The sensor 3E may measure the number of products produced by a production line in which one or more production devices 4 are arranged. The sensor 3E may measure the number of products produced by multiple production lines. The sensor 3E may measure the number of products produced by at least one of the multiple production lines. Multiple sensors 3E and multiple production devices 4 may be arranged in the manufacturing site, and each sensor 3E may measure the number of products produced by each production device 4.

[0110] The sensor 3E measures the production number of products produced by the production device 4 (hereinafter, simply referred to as the production number) and sends the measurement value (measurement data) of the production number to the management device 2. The sensor 3E analyzes the moving image data of the workers, measures the contribution rate (degree of contribution) of each user to the production number, and sends the contribution rate of each user to the production number to the management device 2. In the example shown in FIG. 10, the sensor 3E measures the contribution rate of the user 100A to the production number and the contribution rate of the user 100B to the production number and sends them to the management device 2. The management device 2 obtains the measurement value of the production number and the contribution rate of each user to the production number from the sensor 3E. The sensor 3E may measure the contribution rate of each user to the production number by dividing the individual production number of each user by the total production number. The sensor 3E may analyze the moving image data to measure the working time of each user in each process, and measure the contribution rate of each user to the production number based on the working time of each user in each process.

[0111] The sensor 3E may capture images of the entire or part of the production site and output video data of the production site. The sensor 3E may capture images of the movements of workers at the production site and output video data of the workers. The management device 2 acquires the video data from the sensor 3E. The management device 2 transmits information about workers at the current production site (personal identification numbers, video data, etc.) to the receiving unit 11. The receiving unit 11 receives the worker information.

[0112] The management device 2 monitors the measured value of the production number to determine whether or not there is a fluctuation in the measured value of the production number. The management device 2 outputs a determination result indicating whether or not there is a fluctuation in the measured value of the production number. Examples of fluctuations in the measured value of the production number include a sudden increase in the measured value of the production number and a continuous increase in the measured value of the production number. Furthermore, a fluctuation in the measured value of the production number does not mean a minute fluctuation, but a fluctuation that meets a determination criterion. When the management device 2 detects the occurrence of a fluctuation in the measured value of the production number, it outputs a determination result indicating that a fluctuation in the measured value of the production number has occurred. When the management device 2 does not detect the occurrence of a fluctuation in the measured value of the production number within a predetermined period, it may output a determination result indicating that a fluctuation in the measured value of the production number has not been detected within the predetermined period.

[0113] The management device 2 may compare the measured value of the production number with the judgment criterion for the production number to determine whether or not the measured value of the production number fluctuates. The judgment criterion for the production number may be stored in a storage unit included in the management device 2, or may be stored in an external storage unit connected to the management device 2. The judgment criterion for the production number may be, for example, a target production number of the product. The judgment criterion for the production number may be an upper limit value, a lower limit value, a threshold value, a predetermined range, or the like. The management device 2 may determine whether or not the measured value of the production number satisfies the judgment criterion by using the upper limit value, the lower limit value, the threshold value, the predetermined range, or the like. The management device 2 may use an instantaneous value, a representative value, a statistical value (average, maximum, minimum, median, variance, standard deviation), or the like, as the measured value of the production number. The management device 2 may input time series data of the measured value of the production number into a machine learning model to determine whether or not the measured value of the production number fluctuates.

[0114] The management device 2 may compare the measured value of the production number with a criterion and determine whether or not the measured value of the production number fluctuates based on whether or not the measured value of the production number satisfies the criterion. When the measured value of the production number exceeds the criterion, the management device 2 may determine that the measured value of the production number satisfies the criterion and detect the occurrence of a fluctuation in the measured value of the production number.

[0115] The management device 2 may determine the presence or absence of a fluctuation in the measured value of the production number based on at least one of the frequency and the period during which the measured value of the production number satisfies the judgment criterion. If the number of times that the measured value of the production number satisfies the judgment criterion is equal to or greater than a predetermined number of times, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The management device 2 may determine the presence or absence of a fluctuation in the measured value of the production number based on the frequency with which the measured value of the production number exceeds the judgment criterion. If the measured value of the production number exceeds the judgment criterion a predetermined number of times within a predetermined period (e.g., one hour, one day, one week, one month, etc.), the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The predetermined number of times can be set arbitrarily. By setting the predetermined number of times to multiple times, it is possible to prevent overdetection of the occurrence of a fluctuation in the measured value of the production number. If the period during which the measured value of the production number satisfies the judgment criterion is equal to or greater than a predetermined period, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The predetermined period can be set arbitrarily.

[0116] The management device 2 may use a plurality of thresholds to determine whether or not there is a fluctuation in the measured value of the production number. The management device 2 may compare the magnitude relationship between the measured value of the production number and a first threshold value of the production number to determine whether or not there is a fluctuation in the measured value of the production number. When the measured value of the production number exceeds the first threshold value of the production number a first predetermined number of times within a predetermined period, the management device 2 detects the occurrence of a fluctuation in the measured value of the production number. The first predetermined number of times is a plurality of times and can be set arbitrarily. For example, by setting the first predetermined number of times to a plurality of times, it is possible to prevent overdetection of the occurrence of a fluctuation in the measured value of the production number.

[0117] The management device 2 may compare the measured value of the production number with a second threshold value of the production number to determine whether or not there is a fluctuation in the measured value of the production number. The second threshold value of the production number is a value greater than the first threshold value of the production number. When the measured value of the production number exceeds the second threshold value of the production number a second predetermined number of times, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The second predetermined number of times can be set arbitrarily. The first predetermined number of times may be set to multiple times, and the second predetermined number of times may be set to one time. The first predetermined number of times and the second predetermined number of times may be set to multiple times, and the first predetermined number of times may be set to a number greater than the second predetermined number of times. This makes it possible to prevent overdetection of the occurrence of a fluctuation in the measured value of the production number and to detect a large fluctuation in the measured value of the production number.

[0118] The management device 2 may determine whether or not there is a fluctuation in the measured value of the production number based on the period during which the measured value of the production number exceeds the judgment criterion. For example, when the measured value of the production number exceeds the judgment criterion for 10% or more of the entire work period, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number. The management device 2 may determine whether or not there is a fluctuation in the measured value of the production number based on the magnitude of intraday fluctuation in the measured value of the production number. For example, when the difference between the measured value of the production number in the morning and the measured value of the production number in the afternoon exceeds the judgment criterion, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number.

[0119] The management device 2 may determine whether or not there is a fluctuation in the measured value of the production number based on time series data of the measured value of the production number. For example, the management device 2 collects time series data of the measured value of the production number for the week prior to the specified week, and calculates the average value of the measured value of the production number. The management device 2 collects time series data of the measured value of the production number for the specified week, and calculates the average value of the measured value of the production number. When the difference between the average value of the measured value of the production number for the week prior to the specified week and the average value of the measured value of the production number for the specified week exceeds a determination criterion, the management device 2 may detect the occurrence of a fluctuation in the measured value of the production number.

[0120] When the management device 2 detects the occurrence of a fluctuation in the measured value of the production number, it outputs a judgment result (hereinafter referred to as a production number judgment result) that judges whether or not there is a fluctuation in the measured value of the production number. In this case, the production number judgment result includes a result indicating that the occurrence of a fluctuation in the measured value of the production number has been detected. On the other hand, the management device 2 may output a production number judgment result when the occurrence of a fluctuation in the measured value of the production number is not detected within a predetermined period. In this case, the production number judgment result includes a result indicating that the occurrence of a fluctuation in the measured value of the production number is not detected within a predetermined period.

[0121] The management device 2 monitors the measured value of the production number and compares the contribution rate of each user in the production number with the contribution rate threshold. The contribution rate threshold may be stored in a storage unit included in the management device 2, or may be stored in an external storage unit connected to the management device 2. The management device 2 judges whether the contribution rate of each user in the production number is larger than the contribution rate threshold, and outputs a judgment result regarding the contribution rate (hereinafter, the contribution rate judgment result). The following describes the user 100A, but the same applies to the user 100B. If the contribution rate of the user 100A in the production number is larger than the contribution rate threshold, the management device 2 outputs a judgment result indicating that the contribution rate of the user 100A in the production number is larger than the contribution rate threshold. If the contribution rate of the user 100A in the production number is equal to or smaller than the contribution rate threshold, the management device 2 outputs a judgment result indicating that the contribution rate of the user 100A in the production number is equal to or smaller than the contribution rate threshold.

[0122] The management device 2 transmits the production volume determination result, the contribution rate determination result, and information on the worker at the current production site to the receiving unit 11. The worker information includes the personal identification number and video data of the worker at the production site. The video data includes at least one of a video of the production site and a video of the worker.

[0123] (Example of survey device operation) Fig. 11 is a flowchart showing an example of the operation of the survey device 1. An example of the operation of the survey device 1 will be described with reference to the flowchart of Fig. 11. In step S31, the receiving unit 11 receives the production number determination result, the contribution rate determination result, and the worker information. The control unit 12 acquires the production number determination result, the contribution rate determination result, and the worker information from the receiving unit 11.

[0124] In step S32, the control unit 12 determines whether or not it is necessary to output a questionnaire based on the production volume determination result and the contribution rate determination result. The control unit 12 also outputs the determination result of whether or not it is necessary to output a questionnaire (hereinafter, referred to as the questionnaire determination result).

[0125] When the production number determination result includes a result indicating that a fluctuation in the measurement value of the production number has been detected, and the contribution rate determination result includes a result indicating that the user's contribution rate to the production number is greater than the contribution rate threshold, the control unit 12 determines that a questionnaire needs to be output, and outputs the questionnaire determination result. In this case, the questionnaire determination result includes a result indicating that a questionnaire needs to be output. The questionnaire determination result may also include a result indicating that a fluctuation in the measurement value of the production number has been detected, and may also include the user's contribution rate to the production number.

[0126] When the production number determination result includes a result indicating that no fluctuation in the measurement value of the production number has been detected within a predetermined period, the control unit 12 determines that the output of the questionnaire is unnecessary and outputs the questionnaire determination result. When the production number determination result does not include a result indicating that a fluctuation in the measurement value of the production number has been detected, the control unit 12 determines that the output of the questionnaire is unnecessary and outputs the questionnaire determination result. When the production number determination result includes a result indicating that a fluctuation in the measurement value of the production number has been detected and the contribution rate determination result includes a result indicating that the user's contribution rate in the production number is equal to or less than the contribution rate threshold, the control unit 12 determines that the output of the questionnaire is unnecessary and outputs the questionnaire determination result. In these cases, the questionnaire determination result includes a result indicating that the output of the questionnaire is unnecessary. The questionnaire determination result may also include a result indicating that no fluctuation in the measurement value of the production number has been detected within a predetermined period, or may include the user's contribution rate in the production number.

[0127] In the above, the management device 2 performs the process of determining whether or not there is a fluctuation in the measured value of the production number, but the process is not limited to this. The control unit 12 may determine whether or not there is a fluctuation in the measured value of the production number. In this case, the management device 2 sends the measured value of the production number to the receiving unit 11. The receiving unit 11 receives the management The control unit 12 receives the measured value of the production number from the device 2 and acquires the measured value of the production number from the receiving unit 11. The control unit 12 may monitor the measured value of the production number to determine whether or not there is a fluctuation in the measured value of the production number and output a production number determination result.

[0128] In the above, the management device 2 performs the judgment process regarding the contribution rate, but the process is not limited to this. The control unit 12 may perform the judgment process regarding the contribution rate. In this case, the management device 2 transmits the measurement value of the production number and the contribution rate of each user in the production number to the receiving unit 11. The receiving unit 11 receives the measurement value of the production number and the contribution rate of each user in the production number from the management device 2, and the control unit 12 acquires the measurement value of the production number and the contribution rate of each user in the production number from the receiving unit 11. The control unit 12 may determine whether or not there is a fluctuation in the measurement value of the production number by monitoring the measurement value of the production number, and output the production number judgment result. The control unit 12 may perform the judgment process regarding the contribution rate, and output the contribution rate judgment result.

[0129] The control unit 12 may determine whether or not a questionnaire needs to be output for multiple workers. The multiple workers include workers who work at the same production site, workers in the same team, workers in charge of the same work, workers on the same production line, etc. In the example shown in Fig. 10, the control unit 12 may determine whether or not a questionnaire needs to be output for users 100A and 100B.

[0130] The control unit 12 may determine whether or not a questionnaire needs to be output for one of the multiple workers (survey target). The survey target may be determined in advance based on a schedule or the like. Alternatively, the control unit 12 may determine whether or not a questionnaire needs to be output for multiple workers. Multiple workers include workers who work at the same production site, workers on the same team, workers in charge of the same work, workers on the same production line, etc.

[0131] In step S33, the control unit 12 outputs a questionnaire with a questionnaire ID assigned based on the user information and the questionnaire determination result. This user information is the user information of the worker for whom the need for outputting the questionnaire was determined. For example, when the need for outputting a questionnaire for user 100A is determined, the control unit 12 outputs a questionnaire for user 100A based on the user information of user 100A and the questionnaire determination result for user 100A. When the questionnaire determination result includes a result indicating that outputting the questionnaire is necessary, the control unit 12 outputs a questionnaire for each user according to the user information. When the questionnaire determination result includes a result indicating that outputting the questionnaire is not necessary, the control unit 12 does not output the questionnaire.

[0132] The control unit 12 may output a questionnaire suitable for each user based on the user information and the questionnaire judgment result. The questionnaire suitable for each user is, for example, a questionnaire for investigating the cause of the fluctuation of the measured value of the production number. The cause of the fluctuation of the measured value of the production number includes the cause of the measured value of the production number exceeding the judgment criterion and the cause of the increase in the measured value of the production number. The content of the questionnaire for investigating the cause of the fluctuation of the measured value of the production number (questions to the user, etc.) is content according to the user information. The cause of the fluctuation of the measured value of the production number varies depending on the industry, and if the content of the questionnaire for investigating the cause of the fluctuation of the measured value of the production number is uniform, the cause may not be properly investigated. For example, it is preferable to change the content of the questionnaire for each user information when the industry included in the user information is automobiles and when the industry included in the user information is food. The control unit 12 may output a questionnaire suitable for each user by making the content of the questionnaire for investigating the cause of the fluctuation of the measured value of the production number content according to the user information.

[0133] The cause of the fluctuation in the measured value of the production number may differ depending on the type of user. For example, assume that the work content included in the user information of user 100A is assembly work, and the work content included in the user information of user 100B is inspection work. The cause of the increase may differ between assembly work and inspection work, and it is preferable to change the contents of the questionnaire for each user information. By making the contents of the questionnaire for investigating the cause of the increase in the measured value of the production volume correspond to the user information, the control unit 12 may output a questionnaire suitable for each user.

[0134] The control unit 12 may extract a questionnaire for each user from the memory unit 13 and output the extracted questionnaire. In this case, a plurality of questionnaires are stored in the memory unit 13. A questionnaire ID is assigned to each of the plurality of questionnaires. The questionnaire ID is identification information for identifying each of the plurality of questionnaires. The control unit 12 manages the plurality of questionnaires by the respective questionnaire IDs assigned to the plurality of questionnaires. Alternatively, the control unit 12 may create a questionnaire for each user, assign a questionnaire ID to the questionnaire, and output the questionnaire to which the questionnaire ID is assigned.

[0135] In step S34, the control unit 12 links the user information and the survey determination result by the survey ID and stores them in the storage unit 13. The process of storing the user information and the survey determination result in the storage unit 13 is similar to that in the first embodiment, and therefore a detailed description thereof will be omitted.

[0136] The control unit 12 may output moving image data. The moving image data includes at least one of a moving image of a production site and a moving image of a worker. The moving image data may include a moving image for a predetermined time. The control unit 12 stores the user information, the questionnaire determination result, the moving image data, and the personal identification number in the memory unit 13 by linking them with the questionnaire ID.

[0137] In step S35, the transmission unit 14 executes a process of transmitting the questionnaire and the video data at any timing. The process of transmitting the questionnaire and the video data is the same as that in the first embodiment, so a detailed description will be omitted. At least one of the user 100A and the user administrator 100C receives the questionnaire and the video data using an information processing device. The following describes the process of conducting a questionnaire for user 100A, but the process is similar for conducting a questionnaire for user 100B.

[0138] The user 100A uses an information processing device to answer the questionnaire and transmits the answered questionnaire to the survey device 1. The user 100A may answer the questionnaire on the Web. The user 100A may answer the questionnaire while checking video data. By checking the video data, the user 100A can answer the questionnaire while looking back on the situation when the measured value of the production volume increased.

[0139] In step S36, the receiving unit 11 receives the survey to which the user 100A has responded. In step S37, the control unit 12 links the user information of the user 100A, the survey determination result, and the survey to which the user 100A has responded by a survey ID, and stores them in the memory unit 13. This survey ID is the survey ID of the survey to which the user 100A has responded, and is the same as the survey ID of the survey sent to the user 100A. The survey to which the user 100A has responded includes questions for the user 100A and answers to those questions.

[0140] The control unit 12 may store the user information of the user 100A, the questionnaire determination result, the questionnaire answered by the user 100A, the video data, and the personal identification number in the storage unit 13 by linking them with a questionnaire ID. The user administrator 100C may extract the user information, the questionnaire determination result, the questionnaire, and the video data from the storage unit 13 based on the personal identification number. The user administrator 100C may analyze the data extracted from the storage unit 13. .

[0141] The need to output a questionnaire is determined by monitoring the measured value of the number of products produced. For example, an increase in the number of products produced is detected by comparing the measured value of the number of products produced with a determination criterion. This makes it possible to determine whether or not the number of products produced has increased, taking into consideration whether or not the number of products produced has increased. In addition, it is possible to determine whether or not the number of surveys should be output, taking into consideration the contribution rate of the user to the number of products produced. Then, a survey for each user is output based on the user information of each user and the survey determination result, making it possible to appropriately conduct a survey to grasp the engagement of each user.

[0142] For example, when the production volume of a product exceeds the production volume threshold, a survey is conducted on users who have a high contribution rate to the production volume to investigate the cause of the fluctuation in the production volume measurement. In this way, the increase in the production volume measurement is used as a trigger to conduct a survey to investigate the cause of the fluctuation in the production volume measurement. This makes it possible to appropriately conduct a survey to investigate the cause when the production volume reaches the target production volume. In addition, by conducting the survey at the time when the production volume measurement exceeds the production volume threshold, it becomes possible to investigate the cause of the fluctuation in the production volume measurement at an appropriate time.

[0143] The user administrator 100C can properly grasp the engagement and psychological state of each user by analyzing the data on each user linked by the questionnaire ID and stored in the memory unit 13. The user administrator 100C can properly grasp the engagement and psychological state of each user when the measured value of the production volume exceeds the production volume judgment criterion by analyzing the responses to the questionnaire (questionnaire results).

[0144] The user administrator 100C may analyze the responses to the questionnaire and analyze the thoughts, motivation, etc. of high-performing workers. The results of the analysis of the thoughts, motivation, etc. of high-performing workers can be reflected in improving the work efficiency of other workers. In addition, by applying the results of the analysis of the thoughts, motivation, etc. of high-performing workers to the guidance and hiring criteria of workers, it becomes possible to improve the long-term strength of the organization. The user administrator 100C can analyze video data related to the movements of high-performing workers and understand the movements of high-performing workers, thereby reflecting them in improving the work efficiency of other workers.

[0145] The above-described embodiments and modifications can be combined with each other. The present invention may be understood as an assistance system, a processing system, or a control system having at least a part of each of the configurations, means, and functions described above. The present invention may be understood as an assistance method, a processing method, or a control method including at least a part of each of the processes described above. The present invention may be understood as a method in which a computer executes each of the processes described above. The present invention may be understood as a program for causing a computer to execute each of the processes described above, and the program may be provided to the computer via a network or from a computer-readable recording medium that non-temporarily holds data.

[0146] <Computer-readable recording medium> A program for causing an information processing device or other machine or device (hereinafter, computer, etc.) to realize any of the above functions can be recorded on a recording medium readable by the computer, etc. Then, the computer, etc. can provide the function by reading and executing the program from the recording medium.

[0147] <Appendix 1> an acquisition unit (11) that acquires a measurement value measured by the sensor (3); a determination unit (12) that monitors the measured values ​​and outputs a determination result of whether or not a questionnaire needs to be output; an output unit (12) that outputs the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on the user information of the user and the determination result; A support device comprising: <Appendix 2> The output unit (12) outputs the questionnaire suitable for the user based on the user information and the determination result. 2. The support device according to claim 1. <Appendix 3> The determination unit (12) determines whether or not the questionnaire needs to be output based on the measurement value and a determination criterion. 2. The support device according to claim 1. <Appendix 4> the determination unit (12) determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measurement value does not satisfy the determination criterion. 4. The support device according to claim 3. <Appendix 5> the determination unit (12) determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measurement value satisfies the determination criterion. 4. The support device according to claim 3. <Appendix 6> The sensor (3A) measures vital information of the user, The acquisition unit (11) acquires the measurement value of the vital information measured by the sensor (3A), the determination unit (12) determines whether or not the questionnaire needs to be output based on the measurement value of the vital information and a determination criterion. 6. The support device according to any one of claims 1 to 5. <Appendix 7> the determination unit (12) determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measurement value of the vital information does not satisfy the determination criterion. 7. The support device according to claim 6. <Appendix 8> The sensor (3D) measures the number of products produced, The acquisition unit (11) acquires the measurement value of the production volume of the product measured by the sensor (3D), The determination unit (12) determines whether or not it is necessary to output the questionnaire based on the measured value of the production volume and a determination criterion. 8. The assistance device of claim 1 . <Appendix 9> the determination unit (12) determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measured value of the production volume does not satisfy the determination criterion. 9. The support device according to claim 8. <Appendix 10> The sensor (3E) measures a production number of a product and a contribution rate of the user to the production number of the product; The acquisition unit (11) acquires the measurement value of the production volume of the product measured by the sensor (3E) and the contribution rate of the user to the production volume of the product, The determination unit (12) determines the measured value of the production number of the product, determining whether or not to output the questionnaire based on the contribution rate of the user and a determination criterion; 10. The support device of any one of claims 1 to 9. <Appendix 11> the determination unit (12) determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measured value of the production volume satisfies the determination criterion and the contribution rate of the user. 11. The support device of claim 10. <Appendix 12> The acquisition unit (11) acquires the questionnaire answered by the user, The user information, the determination result, and the questionnaire answered by the user are linked by the questionnaire ID and stored in a storage unit. 12. The assistance device according to any one of claims 1 to 11. <Appendix 13> The acquisition unit (11) acquires the questionnaire answered by the user and video image data of the user, the user information, the determination result, the questionnaire answered by the user, and the video data are linked by the questionnaire ID and stored in a storage unit; 12. The assistance device according to any one of claims 1 to 11. <Appendix 14> A step (S1) of acquiring a measurement value measured by a sensor (3); A step (S2) of outputting a result of judging whether or not a questionnaire needs to be output by monitoring the measured value; outputting the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on the user information of the user and the determination result (S3); A method of support that provides: <Appendix 15> On the computer, A step (S1) of acquiring a measurement value measured by a sensor (3); A step (S2) of outputting a result of judging whether or not a questionnaire needs to be output by monitoring the measured value; outputting the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on the user information of the user and the determination result (S3); A program for executing. [Explanation of symbols]

[0148] 1: Survey device 2: Management device 3, 3A, 3B, 3C, 3D, 3E: Sensor 4: Production equipment 11: Receiving section 12: Control unit 13: Storage part 14: Transmitter 100A, 100B: User 100C:User Administrator

Claims

1. an acquisition unit that acquires a measurement value measured by a sensor; a determination unit that monitors the measurement value and outputs a determination result of whether or not a questionnaire should be output; an output unit that outputs the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on user information of the user and the determination result; A support device comprising:

2. the output unit outputs the questionnaire suitable for the user based on the user information and the determination result. The support device according to claim 1 .

3. the determination unit determines whether or not the questionnaire needs to be output based on the measurement value and a determination criterion. The support device according to claim 1 .

4. the determination unit determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measurement value does not satisfy the determination criterion. The support device according to claim 3.

5. the determination unit determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measurement value satisfies the determination criterion. The support device according to claim 3.

6. The sensor measures vital information of the user, The acquisition unit acquires the measurement value of the vital information measured by the sensor, the determination unit determines whether or not it is necessary to output the questionnaire based on the measured value of the vital sign information and a determination criterion. The support device according to claim 1 .

7. the determination unit determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measurement value of the vital information does not satisfy the determination criterion.

7. The support device according to claim 6.

8. The sensor measures the number of products produced, The acquisition unit acquires the measurement value of the production quantity of the product measured by the sensor, the determination unit determines whether or not it is necessary to output the questionnaire based on the measured value of the production volume and a determination criterion. The support device according to claim 1 .

9. the determination unit determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measured value of the production volume does not satisfy the determination criterion.

9. The support device according to claim 8.

10. The sensor measures a production number of a product and a contribution rate of the user to the production number of the product; The acquisition unit acquires the measurement value of the production quantity of the product measured by the sensor, the contribution rate of the user in the production volume of the product; the determination unit determines whether or not it is necessary to output the questionnaire based on the measured value of the production volume of the product, the contribution rate of the user in the production volume of the product, and a determination criterion. The support device according to claim 1 .

11. the determination unit determines whether or not it is necessary to output the questionnaire based on at least one of a frequency and a period during which the measured value of the production volume satisfies the determination criterion and the contribution rate of the user.

11. The support device according to claim 10.

12. The acquisition unit acquires the questionnaire answered by the user, The user information, the determination result, and the questionnaire answered by the user are linked by the questionnaire ID and stored in a storage unit. Assistance device according to any one of claims 1 to 11.

13. The acquisition unit acquires the questionnaire answered by the user and video data of the user, the user information, the determination result, the questionnaire answered by the user, and the video data are linked by the questionnaire ID and stored in a storage unit; Assistance device according to any one of claims 1 to 11.

14. obtaining measurements taken by a sensor; a step of outputting a determination result of whether or not a questionnaire needs to be output by monitoring the measured value; outputting the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on user information of the user and the determination result; A method of support that provides:

15. On the computer, obtaining measurements taken by a sensor; a step of outputting a determination result of whether or not a questionnaire needs to be output by monitoring the measured value; outputting the questionnaire to which a questionnaire ID for identifying the questionnaire is assigned based on user information of the user and the determination result; A program for executing the above.

Images