JP2020060993A - Estimation device, estimation method, and estimation program - Google Patents

Abstract

To provide an estimation device, an estimation method, and an estimation program that appropriately estimates work quality of an operator.SOLUTION: An estimation device 1 includes: an acquisition unit 131 that acquires biometric information of an operator; an estimation unit 134 that estimates, based on work-time biometric information acquired by the acquisition unit 131 during a work period in which the operator is performing a predetermined work, work quality of the operator; and an output unit 135 that outputs information on the work quality of the operator estimated by the estimation unit 134. The estimation unit 134 may estimate, based on a relationship between standby-time biometric information acquired by the acquisition unit 131 during a standby period in which the operator is not performing the predetermined work and the work-time biometric information, the work quality of the operator.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an estimation device, an estimation method, and an estimation program that estimate work quality when a worker performs a predetermined work.

  In recent years, it has been desired to improve work efficiency in promoting work style reform. In particular, when a person performs a work, it is desired to be able to easily determine whether or not the work is suitable for the work, or whether the work can be performed without a problem in today's physical condition. Patent Literature 1 describes a technique for determining drowsiness of a subject based on the power spectrum density analyzed from the heartbeat waveform of the subject and the total power of the autonomic nerve. By performing the technique described in Patent Document 1 on the worker before performing the work, it is possible to determine whether or not the worker can appropriately perform the work.

Japanese Patent No. 6135054

  By the way, drowsiness is only one of the causes of lowering work efficiency or work quality, and other causes (decrease in concentration, fatigue, etc.) also cause work efficiency to deteriorate or work quality to deteriorate. It may happen. Therefore, with the technique described in Patent Document 1, it is difficult to properly estimate the work quality.

  Then, this invention is made | formed in view of these points, and an object of this invention is to provide the estimation apparatus, the estimation method, and the estimation program which can estimate the work quality of a worker appropriately.

  The estimation device according to the first aspect of the present invention includes an acquisition unit that acquires biometric information of a worker, and a biometric information at work acquired by the acquisition unit during a work period in which the worker performs a predetermined work. Based on the estimation, the estimation unit estimates the work quality of the worker, and the output unit outputs the information about the work quality of the worker estimated by the estimation unit.

  The estimation unit, based on the relationship between the standby biometric information acquired by the acquisition unit during the standby period in which the worker is not performing the predetermined work, and the work biometric information, the work quality of the worker. May be estimated.

  The estimation device sets the start time of the work period to the end time of the waiting period, the end time, the waiting period that is a period between a time point before the end time and a predetermined period, and the work period. Further has a detection unit for detecting, the estimation unit, the standby biometric information acquired by the acquisition unit in the standby period detected by the detection unit, and the working period detected by the detection unit The work quality of the worker may be estimated based on the relationship with the work-time biometric information acquired by the acquisition unit.

  The estimating device further includes a specifying unit that specifies a stress index indicating a stress state of the worker based on the biological information acquired by the acquiring unit, and the estimating unit includes the specifying unit when the work is performed. The work quality of the worker may be estimated based on the work-time stress index specified based on the biological information.

  The estimation unit, the identification unit, the standby stress index identified based on the standby biometric information acquired by the acquisition unit during the standby period in which the worker is not performing the predetermined work, and the work stress The work quality of the worker may be estimated based on the relationship with the index.

  The estimating device further includes a specifying unit that specifies an activity index indicating an activity state of the worker based on the biological information acquired by the acquiring unit, and the estimating unit includes the specifying unit when the specifying unit performs the work. The work quality of the worker may be estimated based on the work activity index specified based on the biological information.

  The specifying unit specifies a stress index indicating a stress state of the worker based on the biometric information acquired by the acquisition unit, and the estimating unit specifies the specifying unit based on the biometric information during work. When the numerical value indicated by the work-time stress index exceeds a threshold value corresponding to the work-time stress index, it may be estimated that the work quality of the worker is low.

  The specifying unit specifies an activity index indicating the activity state of the worker based on the biometric information acquired by the acquisition unit, and the estimating unit specifies the activity index based on the biometric information during work. When the numerical value indicated by the work activity index does not exceed the threshold value corresponding to the work activity index, it may be estimated that the work quality of the worker is low.

  The specifying unit, based on the biological information acquired by the acquisition unit, specifies a stress index indicating the stress state of the worker, and an activity index indicating the activity state of the worker, the estimating unit, When the numerical value indicated by the work stress index specified by the specifying unit based on the work biometric information does not exceed the threshold value corresponding to the work stress index, the specifying unit is based on the work biometric information. It may be estimated that the work quality of the worker is high when the numerical value indicated by the identified work activity index exceeds a threshold value corresponding to the activity index.

  The specifying unit specifies a stress index indicating a stress state of the worker based on the biometric information acquired by the acquisition unit, and the estimating unit specifies the specifying unit based on the biometric information during work. From the numerical value indicated by the work stress index, the identification unit, the standby stress index identified based on the standby biometric information acquired by the acquisition unit during the standby period in which the worker is not performing the predetermined work is When the stress difference value obtained by subtracting the indicated numerical value does not exceed the threshold value corresponding to the stress difference value, it may be estimated that the work quality of the worker is low.

  The specifying unit specifies an activity index indicating an activity state of the worker based on the biometric information acquired by the acquiring unit, and the estimating unit causes the stress difference value to correspond to the stress difference value. In the case of exceeding the threshold value, the numerical value indicated by the work activity index specified by the specifying unit based on the work time biometric information exceeds the threshold value corresponding to the work time activity index, and the work quality of the worker is It may be estimated to be high.

The estimation device may further include a threshold setting unit that sets the threshold.
The threshold setting unit, when the model worker whose work ability in the predetermined work is known does not perform the predetermined work in the standby period specified based on the standby biometric information acquired by the acquisition unit during the standby period The threshold value may be set based on at least one of the index and the index during the work specified based on the biological information during the work of the model worker.

The threshold setting unit is specified based on biometric information of each of the plurality of workers included in the group having a relatively high work quality in the predetermined work among a plurality of groups including a plurality of workers. The threshold value may be set based on a plurality of indexes.
The acquisition unit may acquire, as the biometric information, heartbeat data indicating a temporal change in the heartbeat of the worker.

  An estimation method according to a second aspect of the present invention is a computer-executed step of acquiring biometric information of a worker, and biometric information during work acquired during a work period in which the worker is performing a predetermined work. Based on, the step of estimating the work quality of the worker, and the step of outputting information on the estimated work quality.

  An estimation program according to a third aspect of the present invention uses a computer based on an acquisition unit that acquires biometric information of a worker, and biometric information during work acquired during a work period in which the worker is performing a predetermined work. And functions as an estimation unit that estimates the work quality of the worker and an output unit that outputs information about the work quality of the worker estimated by the estimation unit.

  According to the present invention, there is an effect that the work quality of a worker can be appropriately estimated.

It is a figure for explaining the outline of an estimating device. It is a figure which shows the structure of the estimation apparatus which concerns on 1st Embodiment. It is the figure which represented the heartbeat waveform typically. It is a flow chart which shows a flow of processing which an estimating part concerning a 1st embodiment estimates work quality of a worker. It is a flow chart which shows a flow of processing which an estimating device performs. It is the figure which represented typically the work situation of a working period. It is a figure which shows the structure of the estimation apparatus which concerns on 2nd Embodiment. It is a flowchart which shows the flow of the process which the estimation part which concerns on 2nd Embodiment estimates the work quality of a worker.

<First Embodiment>
[Outline of estimation device 1]
The inventor of the present application has found that there is a relation between the problematic behavior that occurs when a worker is performing a predetermined work and the state of the worker when performing the predetermined work. The predetermined work is a work that is repeatedly performed, for example, a work of an operator of a call center serving a customer, a work of manufacturing a product in a factory, or the like. The problematic behavior is a behavior that deteriorates the work quality, a behavior that should not be performed in a predetermined work, or the like. The state of the worker is a stress state of the worker, an activity state (fatigue state) of the worker, or the like. Therefore, in the first embodiment, the work quality of the worker is estimated by using the biometric information of the worker who is performing a predetermined work and which shows the state of the worker.

  FIG. 1 is a diagram for explaining the outline of the estimation device 1. The estimation device 1 is a device that estimates work quality when a worker performs a predetermined work, and is, for example, a computer. The operator is equipped with a measuring device (not shown) for measuring biological information.

  First, the estimation device 1 acquires the biometric information of the worker from the measuring device attached to the body of the worker ((1) in FIG. 1). The estimation device 1 is, for example, a period in which the worker performs a predetermined work several times (for example, three times) in a production environment in which the worker is actually performing the work or a simulated environment corresponding to the production environment. The biometric information measured by the measuring device is acquired.

The estimation device 1 estimates the work quality of the worker based on the acquired biometric information, and outputs information regarding the estimated work quality of the worker ((2) and (3) in FIG. 1). In this way, the estimation device 1 can easily estimate the work quality of the worker by using the biometric information of the worker that shows the state of the worker.
The configuration of the estimation device 1 will be described below.

[Configuration of the estimation device 1 according to the first embodiment]
FIG. 2 is a diagram showing a configuration of the estimation device 1 according to the first embodiment. The estimation device 1 includes a communication unit 11, a storage unit 12, and a control unit 13.
The communication unit 11 is an interface for connecting to a network, and includes, for example, a LAN controller.

  The storage unit 12 is a storage medium such as a ROM (Read Only Memory), a RAM (Random Access Memory), and a hard disk. The storage unit 12 stores a program executed by the control unit 13.

  The control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 functions as the acquisition unit 131, the identification unit 132, the threshold value setting unit 133, the estimation unit 134, and the output unit 135 by executing the program stored in the storage unit 12.

  The acquisition unit 131 acquires the biometric information of the worker from the measuring device attached to the body of the worker. The acquisition unit 131 acquires, for example, heartbeat data indicating the temporal change of the heartbeat of the worker from the measurement device as the biological information.

  The heartbeat data is, for example, time-series data of R wave intervals (hereinafter referred to as RR intervals) generated based on time-series data indicating a heartbeat waveform (electrocardiographic waveform). FIG. 3 is a diagram schematically showing a heartbeat waveform. The heartbeat waveform includes a waveform indicating the R wave, and the interval between the R waves included in one heartbeat can be specified based on the heartbeat waveform. As shown in FIG. 3, the RR interval is the interval from the R wave included in the nth heartbeat to the R wave included in the (n + 1) th heartbeat. The acquisition unit 131 acquires, from the measuring device, the heartbeat data generated by the measuring device based on the heartbeat waveform. The acquisition unit 131 acquires heartbeat data, for example, at predetermined intervals (for example, 2 seconds). The acquisition unit 131 may acquire the heartbeat data by acquiring time-series data indicating a heartbeat waveform from the measuring device and analyzing the time-series data.

  Returning to FIG. 2, the identifying unit 132 identifies the stress index indicating the stress state of the worker based on the biometric information acquired by the acquiring unit 131. The stress index is, for example, an autonomic nerve that indicates a ratio of a low frequency component (hereinafter, referred to as LF (Low Frequency)) and a high frequency component (hereinafter, referred to as HF (Hi Frequency)) of fluctuations in RR intervals indicated by heartbeat data. Balance (hereinafter referred to as LF / HF ratio). The LF is a frequency component from 0.04 Hz to 0.15 Hz among a plurality of frequency components included in the heartbeat data. HF is a frequency component from 0.15 Hz to 0.4 Hz among a plurality of frequency components included in heartbeat data.

  The identification unit 132 extracts LF and HF based on the heartbeat data acquired by the acquisition unit 131, for example, at predetermined intervals (for example, 2 seconds). The identifying unit 132 calculates the LF / HF ratio based on the extracted LF and HF. Then, the identifying unit 132 identifies the stress index by totaling (averaging) the LF / HF ratios calculated at predetermined intervals.

  The identifying unit 132 also identifies an activity index indicating the activity state of the worker based on the biometric information acquired by the acquisition unit 131. The activity index is, for example, total power (hereinafter, referred to as TP (Total Power)) calculated by summing the frequency components from 0 Hz to 0.4 Hz among the plurality of frequency components included in the heartbeat data. The identifying unit 132 identifies the TP from the LF and HF extracted at predetermined intervals, for example. Then, the specifying unit 132 specifies an activity index by totaling (averaging) the specified TPs at predetermined intervals.

  The identifying unit 132 according to the first embodiment provides a work-time stress index and a work-time activity index based on the work-time biometric information acquired by the acquisition unit 131 during the work period in which the worker is performing a predetermined work. Identify.

  The threshold setting unit 133 sets a threshold. Specifically, the threshold value setting unit 133 sets a threshold value corresponding to the type of index (working stress index and working activity index) identified by the identifying unit 132. The threshold value setting unit 133 may set a predetermined threshold value.

  Further, the threshold setting unit 133 may set the threshold based on the model index specified based on the working biometric information of the model worker whose work efficiency in a predetermined work is known. The model index includes a work stress index and a work activity index corresponding to the model worker. The threshold setting unit 133, for example, when the model worker performs a predetermined work, the model index specified based on the biometric information acquired when the work efficiency is high, and the biometric acquired when the work efficiency is low. The threshold may be set based on the model index specified based on the information. By doing so, the threshold setting unit 133 can appropriately set the threshold.

  In addition, the threshold value setting unit 133 identifies a plurality of workers based on biometric information of each of a plurality of workers included in a group having a relatively high work quality in a predetermined work among a plurality of groups including a plurality of workers. The threshold value may be set based on the index. The group in this case is, for example, a group clustered based on the K-means method. The threshold value setting unit 133 may set the threshold value based on, for example, a statistical value (for example, an average value) calculated based on a plurality of indexes. By doing so, the threshold setting unit 133 can set a more suitable threshold as compared with the case where the threshold is set based on one model worker.

  Further, the threshold setting unit 133 may set the threshold based on a predetermined work type. Further, the threshold setting unit 133 may set a difference value between the numerical value indicated by the biometric information of the worker acquired during work and the numerical value indicated by the biometric information of the worker acquired during non-work as a threshold.

  The estimation unit 134 estimates the work quality of the worker based on the biometric information during work. The work-time biometric information is biometric information acquired by the acquisition unit 131 during a work period in which the worker is performing a predetermined work.

  Details of the process of estimating the work quality of the worker by the estimation unit 134 according to the first embodiment will be described with reference to FIG. FIG. 4 is a flowchart showing the flow of processing in which the estimation unit 134 according to the first embodiment estimates the work quality of the worker.

  First, the estimation unit 134 determines the worker based on the work-time stress index specified by the specifying unit 132 based on the work-time biometric information acquired by the acquisition unit 131 during the work period in which the worker is performing a predetermined work. Estimate the work quality of. Specifically, the estimation unit 134 determines whether or not the numerical value indicated by the work stress index exceeds the first threshold set by the threshold setting unit 133 (S1). The first threshold value according to the first embodiment is a threshold value corresponding to the work stress index.

  When it is determined that the numerical value indicated by the work stress index exceeds the first threshold value (YES in S1), the estimation unit 134 estimates that the work quality of the worker is low (S2). If the estimation unit 134 determines that the numerical value indicated by the work stress index does not exceed the first threshold value (NO in S1), the process proceeds to S3.

  Subsequently, the estimation unit 134 performs the work based on the work activity index identified by the identification unit 132 based on the work biometric information acquired by the acquisition unit 131 during the work period in which the worker is performing a predetermined work. The work quality of workers. Specifically, the estimation unit 134 determines whether or not the numerical value indicated by the work activity index exceeds the second threshold value (S3). The second threshold is a threshold corresponding to the activity index during work.

  When it is determined that the numerical value indicated by the work activity index does not exceed the second threshold value (NO in S3), the estimation unit 134 estimates that the work quality of the worker is low (S2). On the other hand, when the numerical value indicated by the work stress index does not exceed the first threshold value (NO in S1), the estimating unit 134 determines that the numerical value indicated by the work activity index exceeds the second threshold value (in S3). If YES), it is estimated that the work quality of the worker is high (S4). In this way, the estimation unit 134 can appropriately estimate the work quality by estimating the work quality of the worker based on the state of the worker when performing the predetermined work.

  The output unit 135 outputs information about the work quality of the worker estimated by the estimation unit 134. Specifically, the output unit 135 outputs information corresponding to the estimation result estimated by the estimation unit 134. Note that the output unit 135 may output to the display unit (not shown) that the worker is suitable for a predetermined work when the estimation unit 134 estimates that the work quality is high, for example.

[Processing of estimation device 1]
Next, the flow of processing performed by the estimation device 1 will be described. FIG. 5 is a flowchart showing the flow of processing performed by the estimation device 1. This flowchart starts when the acquisition unit 131 acquires the biometric information of the worker from the measuring device attached to the body of the worker (S11).

  When the acquisition unit 131 acquires the biometric information, the identification unit 132 identifies the stress index and the activity index based on the acquired biometric information (S12). When the identifying unit 132 identifies the stress index and the activity index, the threshold setting unit 133 sets a threshold value (first threshold value) corresponding to the stress index and a threshold value (second threshold value) corresponding to the activity index (S13). .

  The estimating unit 134 estimates the work quality of the worker based on the stress index and the activity index specified by the specifying unit 132 and the threshold value set by the threshold value setting unit 133 (S14). Specifically, the estimation unit 134 estimates the work quality of the worker by the estimation unit 134 illustrated in FIG. 4 performing a process of estimating the work quality of the worker. The output unit 135 outputs the information regarding the work quality of the worker estimated by the estimation unit 134 (S15).

[Effects of First Embodiment]
As described above, the estimation device 1 estimates the work quality of the worker based on the biometric information during work acquired during the work period, and outputs the estimated work quality information of the worker. By doing so, the estimation device 1 can estimate the work quality of the worker based on the state of the worker when performing the predetermined work. As a result, the estimation device 1 can appropriately estimate the work quality of the worker.

  In addition, the estimation device 1 uses the heartbeat data as the biological information, so that the worker is performing a predetermined work without invading the worker or causing the worker to keep his eyes closed. The work quality of can be estimated. Further, since the estimation device 1 can perform the process of estimating the work quality of the worker in the simulated environment such as the training, the estimation device 1 performs the process as compared with the case of performing the process of estimating the work quality of the worker in the production environment. The cost can be reduced. In addition, the estimation device 1 estimates the work quality of the worker based on the biometric information, so that an experienced worker of the predetermined work observes the worker who is performing the predetermined work and analyzes the presence / absence of the problem behavior. It is possible to save the labor to do. Further, the personnel personnel can analyze the aptitude of the worker and use it for the assignment determination by using the estimation result in which the estimation device 1 estimates the work quality of the worker for each predetermined type of work.

<Second Embodiment>
[Estimate work quality based on the relationship between the biometric information on standby and the biometric information on work]
Subsequently, the estimation device 1 according to the second embodiment will be described. The inventor of the present application has found that there is a relation between the problem behavior and the relationship between the state of the worker when performing the predetermined work and the state of the worker when not performing the predetermined work. "When not performing predetermined work" is, for example, when the operator of the call center who is working is not responding to the customer, or when the worker of the factory who is working is taking a break.

  Therefore, in the second embodiment, the work quality of the worker is determined by using the biometric information when the worker is not performing the predetermined work and the biometric information when the worker is performing the predetermined work. presume. Hereinafter, parts different from the first embodiment will be described.

  FIG. 6 is a diagram schematically showing the work status during the working period. As shown in FIG. 6, the period in which the worker is working is continuous with a waiting period (a first waiting period, a second waiting period, etc.) in which the worker does not perform a predetermined work. , And the work period in which the worker is performing a predetermined work (first work period, second work period, etc.).

  The estimation device 1 according to the second embodiment is based on the relationship between the standby biometric information acquired by the acquisition unit 131 during the standby period and the work biometric information acquired by the acquisition unit 131 during the work period. Estimate work quality. In the example illustrated in FIG. 6, the estimation device 1 has the standby-time biometric information acquired by the acquisition unit 131 during the first standby period and the acquisition unit 131 acquired during the first work period that is continuous with the first standby period. The work quality of the worker is estimated based on the relationship with the biometric information during work.

[Configuration of the estimation device 1 according to the second embodiment]
FIG. 7 is a diagram showing a configuration of the estimation device 1 according to the second embodiment. The control unit 13 according to the second embodiment further functions as the detection unit 136 by executing the program stored in the storage unit 12.

  The detection unit 136 detects the waiting period and the work period. For example, in the case of detecting the waiting period and the work period in the call center, the detecting unit 136 first performs the work from the CTI (Computer Telephony Integration) server managed by the call center via the communication unit 11 at predetermined intervals. The call information indicating the call status of the operator whose quality is to be estimated is acquired. The call information may be information indicating the presence or absence of a call, or may be voices of an operator and a customer. When the call information is the voices of the operator and the customer, the detection unit 136 may analyze the call status based on a unique voice pattern of the voice of the customer generated at the time of the incoming call and the disconnection. The call status may be analyzed based on the volume or the volume of the customer side.

  The detection unit 136 indicates that the acquired call information indicates that a call is in progress, and when the immediately preceding acquired call information indicates that the call is not in progress, the time at which the call information indicating that the call is in progress is acquired, It is detected as the end of the waiting period and the start of the work period. In addition, when the detection unit 136 indicates that the acquired call information is not in a call, and the immediately preceding acquired call information indicates that a call is in progress, the time when the call information indicating that the call is not in progress is acquired. Is detected as the end time of the work period and the start time of the waiting period.

  Further, for example, when detecting the standby period and the work period in the factory, the detection unit 136 firstly, at predetermined intervals, through the communication unit 11, the worker whose work quality is to be estimated in the factory. A captured image showing the work situation is acquired from a camera that captures a work area in which the worker works. The detection unit 136 may analyze the work status based on whether or not the worker is at a predetermined position in the acquired captured image, or the work status based on whether or not the manufacturing line is operating, for example. May be analyzed.

  The detection unit 136 indicates that the acquired captured image is working, and when the captured image acquired immediately before indicates that the working image is not working, the time point at which the captured image indicating working is acquired, It is detected as the end of the waiting period and the start of the work period. In addition, when the detection unit 136 indicates that the acquired captured image is not in operation, and the captured image acquired immediately before indicates that it is in operation, the detection unit 136 acquires the captured image indicating that it is not in operation. Is detected as the end time of the work period and the start time of the waiting period. In this way, the detection unit 136 detects the waiting period and the working period by detecting the start time and the ending time of the working period and the waiting period, respectively.

  Here, the inventor of the present application has found that the accuracy with which the estimation unit 134 estimates the work quality of the worker is improved when the waiting period is shorter than when the waiting period is long. Therefore, the detection unit 136 sets the start time of the work period as the end time of the standby period, and the standby period that is a period between the end time and a predetermined period before the end time (for example, one minute), The work period may be detected. By doing so, the detection unit 136 can improve the estimation accuracy of the work quality of the worker.

  The identification unit 132 according to the second embodiment further identifies the standby stress index based on the standby biometric information acquired by the acquisition unit 131 during the standby period in which the worker does not perform the predetermined work.

  The threshold setting unit 133 according to the second embodiment uses a standby index specified based on standby biometric information of a model worker whose work ability in a predetermined work is known, and a model worker's working biometric. The threshold value may be set based on at least one of the index during work specified based on the information. For example, the standby biometric information is biometric information acquired by the acquisition unit 131 during a standby period in which the worker is not performing a predetermined work. The threshold value setting unit 133 may set the threshold value based on the difference value between the numerical value indicated by the index during standby and the numerical value indicated by the index during operation.

  The estimation unit 134 estimates the work quality of the worker based on the relationship between the standby biometric information acquired by the acquisition unit 131 during the standby period and the work biometric information acquired by the acquisition unit 131 during the work period. Specifically, the estimation unit 134 includes the standby biometric information acquired by the acquisition unit 131 during the standby period detected by the detection unit 136, and the working biometric information acquired by the acquisition unit 131 during the work period detected by the detection unit 136. The work quality of the worker is estimated based on the relationship with.

  A flow of processing in which the estimation unit 134 according to the second embodiment estimates the work quality of the worker will be described with reference to FIG. 8. FIG. 8 is a flowchart showing the flow of processing in which the estimation unit 134 according to the second embodiment estimates the work quality of the worker.

  First, in the estimation unit 134, the specifying unit 132 specifies a waiting-time stress index specified based on the waiting-time biometric information acquired by the acquisition unit 131 during a waiting period in which the worker does not perform a predetermined work, and a predetermined worker. The work quality of the worker is estimated based on the relationship with the work-time stress index specified based on the work-time biometric information acquired by the acquisition unit 131 during the work period. Specifically, the estimation unit 134 determines whether the stress difference value obtained by subtracting the numerical value indicated by the standby stress index from the numerical value indicated by the work stress index exceeds the first threshold value (S21). The first threshold value according to the second embodiment is a threshold value corresponding to the stress difference value.

  When it is determined that the stress difference value does not exceed the first threshold value (NO in S21), the estimation unit 134 estimates that the work quality of the worker is low (S22). If the estimation unit 134 determines that the stress difference value exceeds the first threshold value (YES in S21), the process proceeds to S23.

  Subsequently, the estimating unit 134 estimates the work quality of the worker based on the work activity index. Specifically, the estimation unit 134 determines whether the numerical value indicated by the work activity index exceeds the second threshold value (S23).

  When it is determined that the numerical value indicated by the work activity index does not exceed the second threshold value (NO in S23), the estimation unit 134 estimates that the work quality of the worker is low (S22). On the other hand, when the stress difference value exceeds the threshold value corresponding to the stress difference value, the estimation unit 134 estimates that the work quality of the worker is high when the numerical value indicated by the work activity index exceeds the second threshold value. Yes (S24). In this way, the estimation unit 134 estimates the work quality of the worker based on the biometric information during work.

[Effects of Second Embodiment]
As described above, the estimation device 1 estimates the work quality of the worker based on the relationship between the standby biometric information acquired in the standby period and the work biometric information acquired in the work period, and estimates the worker's work quality. Outputs information about work quality. By doing so, the estimation device 1 can estimate the work quality of the worker in consideration of the change in the state of the worker during the waiting period and the work period. As a result, the estimation device 1 can improve the estimation accuracy of the work quality of the worker.

[Modification]
In the above, the estimation apparatus 1 explained the example which estimates the work quality of the worker, but the present invention is not limited to this. For example, the estimation device 1 may estimate the work quality using a learning model that outputs quality information indicating work quality by inputting biometric information. The learning model is, for example, a learning model generated by SVM (Support Vector Machine) or DNN (Deep Neural Network).

  For example, the estimation device 1 first performs machine learning based on teacher data that combines quality information indicating work quality in past quality inspections and information based on biometric information of the worker when the quality inspection is performed. A learning model is generated by performing. The information based on the biometric information is, for example, a statistical value (for example, an average value or a standard deviation) of indexes (stress index, activity index) calculated based on the standby biometric information and the working biometric information.

  Then, the estimation device 1 estimates the work quality using the quality information output by inputting the biometric information of the worker into the learning model in the quality inspection process. By doing so, the estimation device 1 can accurately and easily perform the quality inspection of the worker based on the learning model in which the relationship between the information based on the biological information and the work quality is appropriately reflected by the machine learning. It can be carried out.

  Although the present invention has been described using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes can be made within the scope of the gist thereof. is there. For example, in the process of estimating the work quality of the worker illustrated in FIG. 8, the estimating unit 134 determines whether or not the numerical value indicated by the work stress index exceeds the threshold value corresponding to the work stress index before S21. The determination process (determination process of S1 shown in FIG. 4) may be performed. In this case, when the estimation unit 134 determines that the numerical value indicated by the work stress index exceeds the threshold value corresponding to the work stress index, the estimation unit 134 estimates that the work quality of the worker is low, and the numerical value indicated by the work stress index. However, if it is determined that the threshold value corresponding to the work stress index is not exceeded, the process may proceed to S21 shown in FIG.

  Further, for example, the specific embodiment of the distribution / integration of the device is not limited to the above-described embodiment, and all or a part thereof is functionally or physically distributed / integrated in an arbitrary unit and configured. can do. Further, a new embodiment that occurs due to an arbitrary combination of a plurality of embodiments is also included in the embodiment of the present invention. The effect of the new embodiment produced by the combination also has the effect of the original embodiment.

1 Estimating Device 11 Communication Unit 12 Storage Unit 13 Control Unit 131 Acquisition Unit 132 Identification Unit 133 Threshold Setting Unit 134 Estimating Unit 135 Output Unit 136 Detecting Unit

Claims (17)

An acquisition unit that acquires the biometric information of the worker,
An estimation unit that estimates the work quality of the worker based on the working biometric information acquired by the acquisition unit during a work period in which the worker is performing a predetermined work,
An output unit that outputs information about the work quality of the worker estimated by the estimation unit,
Estimating device having. The estimation unit, based on the relationship between the standby biometric information acquired by the acquisition unit during the standby period in which the worker is not performing the predetermined work, and the work biometric information, the work quality of the worker. To estimate,
The estimation device according to claim 1. Detection of detecting the start time of the work period as the end time of the waiting period, the wait time that is a period between the end time and a time point that is a predetermined period before the end time, and the work period Further has a section,
The estimation unit, the standby biometric information acquired by the acquisition unit in the standby period detected by the detection unit, and the work biometric information acquired by the acquisition unit in the work period detected by the detection unit, and Estimating the work quality of the worker based on the relationship
The estimation device according to claim 2. Based on the biological information acquired by the acquisition unit, further has a specifying unit for specifying a stress index indicating the stress state of the worker,
The estimation unit estimates the work quality of the worker based on the work stress index specified by the specifying unit based on the work biometric information,
The estimation device according to any one of claims 1 to 3. The estimation unit, the identification unit, the standby stress index identified based on the standby biometric information acquired by the acquisition unit during the standby period in which the worker is not performing the predetermined work, and the work stress Estimate the work quality of the worker based on the relationship with the index,
The estimation device according to claim 4. Based on the biological information acquired by the acquisition unit, further has a specifying unit that specifies an activity index indicating the activity state of the worker,
The estimating unit estimates the work quality of the worker based on the work activity index specified by the specifying unit based on the work biometric information,
The estimation device according to any one of claims 1 to 5. The specifying unit, based on the biometric information acquired by the acquisition unit, specifies a stress index indicating a stress state of the worker,
The estimation unit, when the numerical value indicated by the work stress index specified by the specifying unit based on the work biometric information exceeds a threshold value corresponding to the work stress index, the work quality of the worker is low. Presumably,
The estimation device according to any one of claims 4 to 6. The specifying unit, based on the biological information acquired by the acquisition unit, specifies an activity index indicating the activity state of the worker,
The estimation unit, when the numerical value indicated by the work activity index identified by the specification unit based on the work biometric information does not exceed a threshold value corresponding to the work activity index, the work quality of the worker is Presumed to be low,
The estimation device according to any one of claims 4 to 7. The specifying unit, based on the biological information acquired by the acquisition unit, specifies a stress index indicating the stress state of the worker, and an activity index indicating the activity state of the worker,
The estimation unit, when the numerical value indicated by the work stress index specified by the specifying unit based on the work biometric information does not exceed the threshold value corresponding to the work stress index, the specifying unit performs the work When the numerical value indicated by the activity index during work specified based on biological information exceeds the threshold value corresponding to the activity index, it is estimated that the work quality of the worker is high,
The estimation device according to any one of claims 4 to 8. The specifying unit, based on the biometric information acquired by the acquisition unit, specifies a stress index indicating a stress state of the worker,
The estimation unit, from the numerical value indicated by the work stress index specified by the specifying unit based on the work biometric information, the specifying unit, the acquisition in the standby period when the worker is not performing the predetermined work When the stress difference value obtained by subtracting the numerical value indicated by the standby stress index specified based on the standby biometric information acquired by the department does not exceed the threshold value corresponding to the stress difference value, the work quality of the worker is low. Presumably,
The estimation device according to any one of claims 4 to 9. The specifying unit, based on the biological information acquired by the acquisition unit, specifies an activity index indicating the activity state of the worker,
The estimation unit, when the stress difference value exceeds a threshold value corresponding to the stress difference value, the numerical value indicated by the work activity index identified by the specification unit based on the work biometric information is the work time. When the threshold corresponding to the activity index is exceeded, it is estimated that the work quality of the worker is high,
The estimation device according to claim 10. Further comprising a threshold setting unit for setting the threshold,
The estimation device according to any one of claims 7 to 11. The threshold setting unit, when the model worker whose work ability in the predetermined work is known does not perform the predetermined work in the standby period specified based on the standby biometric information acquired by the acquisition unit during the standby period Of the index, based on at least one of the index during the work specified based on the biometric information during work of the model worker, the threshold is set,
The estimation device according to claim 12. The threshold setting unit is specified based on biometric information of each of the plurality of workers included in the group having a relatively high work quality in the predetermined work among a plurality of groups including a plurality of workers. Based on a plurality of indicators, set the threshold,
The estimation device according to claim 12. The acquisition unit acquires, as the biological information, heartbeat data indicating a temporal change in the heartbeat of the worker,
The estimation device according to any one of claims 1 to 14. Computer running,
Acquiring the biometric information of the worker,
A step of estimating the work quality of the worker based on the working biometric information acquired during the work period in which the worker is performing a predetermined work;
Outputting information about the estimated work quality,
An estimation method having. Computer,
An acquisition unit that acquires the biometric information of the worker,
An estimation unit that estimates the work quality of the worker based on the biometric information during work acquired during the work period in which the worker is performing a predetermined work, and the work quality of the worker estimated by the estimation unit An output section that outputs information about
Estimate program to function as.

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