JP2018181245A - Productivity determination device, productivity determination program, and productivity determination method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily grasp a degree of contribution of a worker who works.SOLUTION: A productivity determination device performs determination about one or more workers who work, determines a brain state as a state of blood in the brain in each worker by one or more detectors attached to each worker one by one, and determines productivity as a degree that each worker contributes to achievement of a work. Specifically, a concentration level as a degree that the worker concentrates on the work and a feeling level as a degree related to a comfort generated in the worker are measured on the basis of the brain state of the worker, and the productivity of the worker is determined on the basis of a measurement result.SELECTED DRAWING: Figure 3

Description

  The present disclosure relates to a technology for making a determination on a worker who does a job.

  Patent Document 1 describes a technique for detecting the health status of an employee and storing it in a server. Such a technology makes it possible to quickly detect and predict employee health problems.

JP, 2016-219038, A

  However, in the technology described in Patent Document 1, many types of sensors are used to detect the health status of employees, and the configuration is complicated. Further, with the technology of Patent Document 1, it was not possible to grasp the degree of contribution of employees to work.

  The present disclosure provides a technique for simply grasping the degree of contribution of a worker performing a job.

  The productivity determination device (10) of the present disclosure made in view of the above problem is configured to perform determination on one or more workers who are performing work. The productivity determination device includes a brain state detection unit (11, 100, 101, S300) and a productivity measurement unit (11, 100, 101, 104, S305 to S315, S325, S400, S500). The brain condition detection unit is provided with one or more detectors (16, one for each of the one or more workers, one brain condition being the state of blood in the brain of each of the one or more workers. 16a) configured to detect. Also, the productivity measurement unit is configured to determine productivity, which is a degree that contributes to the achievement of work in each of the one or more workers. Then, the productivity measuring unit is, based on the brain state, a concentration level which is a degree to which the worker whose brain state is detected concentrates on work, and an emotion level which is a degree related to pleasure which is caused to the worker And determine the productivity of the worker based on the measurement result.

  According to such a configuration, the brain condition which is the condition of blood in the brain of each worker is detected by one detector attached to the worker. Then, the concentration level and emotion level of the worker are measured based on the brain condition of each worker, and the productivity of the worker is determined based on the measurement result. For this reason, it is possible to determine the productivity of the worker without using many types of sensors. Therefore, it is possible to simply grasp the degree of contribution of the worker who does the work.

  Further, one aspect of the present disclosure relates to a productivity determination program that causes a computer to operate as the above-described productivity determination device. According to such a productivity determination program, similarly to the above-described productivity determination device, it is possible to simply grasp the degree of contribution of the worker who does the work.

  Further, one aspect of the present disclosure relates to the productivity determination method realized by the above-described productivity determination device and productivity determination program. According to such a productivity determination method, similarly to the above-described productivity determination device and productivity determination program, it is possible to simply grasp the degree of contribution of the worker who does the work.

  In addition, the reference numerals in parentheses described in this column and the claims indicate the correspondence with the specific means described in the embodiment described later as one aspect, and the technical scope of the present disclosure It is not limited.

It is a block diagram showing composition of a productivity judging device. It is a block diagram which shows the function of productivity determination apparatus. It is explanatory drawing about productivity. It is a concrete example of a short-term improvement plan proposed based on short-term productivity. It is a specific example of the determination result of long-term productivity. It is a flowchart of a brain state detection process. It is a flowchart of a short term proposal process. It is a flowchart of a long-term proposal process.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.
[1. Constitution]
Productivity determination apparatus 10 shown in FIG. 1 determines the productivity of each of a plurality of workers doing work. Here, the work is, for example, an action for creating or accomplishing something. Also, the work may be performed mainly using the brain, for example, or may be performed mainly using the body. In addition, the work includes, for example, work performed as a job, but is not limited thereto, and may be performed for a fee or free of charge. As a specific example, the work may be work in an office, a factory or the like, operation of a mobile body such as driving a car, or study in a school or the like. In addition, the productivity determination device 10 may determine the productivity of a worker (for example, a home worker, a sales representative, a business person, or the like) present in a remote place. Moreover, the productivity of the worker includes the meaning of the degree to which the worker contributes to the achievement of the work.

  More specifically, the productivity determination device 10 detects a brain state which is a state of blood in the brain of each worker who is performing work. Although details will be described later, the concentration level and emotion level of the worker in which the brain condition is detected is measured based on the brain condition. Then, the productivity of the worker is determined based on the concentration level and the emotion level.

The productivity determination device 10 includes a control unit 11, a memory 12, a storage unit 13, a communication unit 14, a display unit 15, and a plurality of detectors 16.
The control unit 11 includes one or more CPUs and the like. In addition, the memory 12 includes a semiconductor memory such as a RAM, a ROM, and a flash memory. The control unit 11 realizes various functions by one or more CPUs executing the productivity determination program stored in the non-transitional tangible storage medium. In this example, the memory 12 corresponds to a non-transitional tangible storage medium. Further, by executing this productivity determination program, the productivity determination method corresponding to the productivity determination program is executed.

  The storage unit 13 is a readable and writable non-volatile memory. The storage unit 13 may be, for example, an HDD, a flash memory, or the like. In the storage unit 13, a management database 13a described later is constructed.

The communication unit 14 communicates with devices such as the external system 20 and the stimulation application device 21 provided outside the productivity determination device 10.
The external system 20 is a system for managing the performance of each worker's work. The external system 20 may include one or more PCs. Specifically, the external system 20 generates management information of each worker. The management information indicates, for example, the type of work of the worker, the current work of the worker, and working hours. The job type is the type or content of a job that a worker is in charge of continuously, such as research, development, sales and the like. Further, the current work is, for example, the type or content of work currently performed by the worker, such as desk work, a meeting, customer service, and the like. A working time zone is a time zone in which a worker engaged in work.

  The stimulus applying device 21 gives various types of stimuli to each worker. Specifically, for example, the stimulation applying device 21 has a function as an air conditioner, and provides stimulation to each worker by adjusting the temperature, humidity, air volume, smell, etc. around each worker. Also good. Also, for example, the stimulation applying device 21 may have a function as a light source, and may provide stimulation to each worker by adjusting the brightness around the worker, the color of light, and the like. Also, for example, the stimulation applying device 21 stimulates each worker by vibrating a chair in which each worker is sitting, touching each worker, or supplying an electric current to each worker. May be Also, for example, the stimulus applying device 21 may provide each worker with a stimulus by providing each worker with a drink or food.

The display unit 15 displays an image generated in accordance with an instruction from the control unit 11. The display unit 15 may be, for example, a liquid crystal display or the like.
For example, the control unit 11, the memory 12, the storage unit 13, the communication unit 14, and the display unit 15 may be configured as a PC. In this case, the control unit 11 may load the memory 12 with the productivity determination program installed in the PC and stored in the storage unit 13 which is a non-transitional substantial recording medium. Then, the control unit 11 may realize various functions by operating the productivity determination program as one of the applications on the OS.

  Each detector 16 is mounted on the head of each worker doing the work. More specifically, the detector 16 includes one or more cerebral blood flow sensors 16a. And one or more cerebral blood flow sensors 16a are attached to a worker's head. Further, the one or more cerebral blood flow sensors 16a are configured to emit near infrared rays, to detect a reflected wave of the near infrared rays, and to output a signal indicating a detection result.

[2. function]
As shown in FIG. 2, the productivity determination device 10 has a concentration level measurement unit 100, an emotion level measurement unit 101, and an acquisition unit 102 as functions realized by the control unit 11 executing the productivity determination program. , A storage control unit 103, a proposal unit 104, a stimulation unit 105, and a learning unit 106. The method for the productivity determination apparatus 10 to realize these functions is not limited to the execution of the productivity determination program, and some or all of the elements are realized using one or more hardware. Also good. For example, when the above function is realized by an electronic circuit that is hardware, the electronic circuit may be realized by a digital circuit including many logic circuits, an analog circuit, or a combination thereof.

(1) Measurement of Concentration Level etc. First, a function of measuring the concentration level and the emotion level and storing the concentration level and the emotion level in the management database 13a will be described.

  The concentration level measuring unit 100 and the emotion level measuring unit 101 are attached to the head at periodic timings based on the signals from one or more cerebral blood flow sensors 16 a in each of the detectors 16. Detect the worker's brain condition. The one or more cerebral blood flow sensors 16a are attached to the head of the worker, and each cerebral blood flow sensor 16a is one or more specific parts in the brain (for example, the prefrontal cortex) of the worker Detect the concentration of oxygenated hemoglobin present in In addition, oxygenated hemoglobin means hemoglobin which couple | bonded with the oxygen which exists in blood.

  More specifically, each cerebral blood flow sensor 16a irradiates near infrared light to one or more specific parts of the worker's brain and detects near infrared reflected waves. The near infrared reflected wave indicates the amount of oxygenated hemoglobin (in other words, the concentration of oxygenated hemoglobin) present in the portion irradiated with the near infrared radiation. Then, each cerebral blood flow sensor 16a outputs a signal indicating the detected reflected wave as a signal indicating the concentration of oxygenated hemoglobin in the corresponding one or plural portions. Based on the signal, the concentration of oxygenated hemoglobin in one or more portions of the worker's brain is detected as a brain condition. That is, the brain state indicates how oxygenated hemoglobin is distributed in the worker's brain.

  Then, the concentration level measurement unit 100 measures the concentration level of the worker based on the brain condition of the worker. The concentration level is the degree to which the worker concentrates on work. On the other hand, the emotion level measurement unit 101 measures the worker's emotion level based on the worker's brain condition. The emotion level is a degree related to the pleasure occurring to the worker doing the work. Specifically, the emotion level is represented by the degree of pleasure and discomfort occurring to the worker. Note that the emotion level may be expressed by one of the pleasure and the discomfort that is caused to the worker. That is, in the present embodiment, the concentration level and the emotion level are measured by one type of sensor.

The acquisition unit 102 acquires management information of each worker from the external system 20 via the communication unit 14.
The storage control unit 103 manages a management database 13 a built in the storage unit 13. Here, in the management database 13a, each worker, management information of the worker, and the concentration level and emotion level of the worker at each time are stored in association with each other. When the concentration level and emotion level of the worker are newly measured, the storage control unit 103 stores the concentration level and emotion level in the management database 13a in a state associated with the worker. Further, when the management information of the worker is newly acquired, the storage control unit 103 stores the management information in the management database 13a in a state associated with the worker.

(2) Determination of Productivity Next, the function of determining the productivity will be described.
The proposal unit 104 determines the productivity of the worker based on one or more concentration levels and emotion levels of the worker stored in the management database 13a. More specifically, productivity has multiple states. Then, depending on the concentration level and emotion level of the worker, the productivity of the worker is determined to be any one of these states. In this embodiment, as an example, productivity is classified into a plurality of states including four, good, overworked, low, and evil, as shown in FIG.

  Good means that the concentration level of the worker is high and the feeling level is good (in other words, the worker has a pleasant feeling). The term "overwork" means a state in which the concentration level of the worker is high but the feeling level is not good (in other words, the worker feels uncomfortable). Also, low means that the worker's concentration level is low but his emotion level is good. Moreover, evil is a state where the worker's concentration level is low and the emotion level is not good.

  Furthermore, the productivity of each of these states may be further classified into a plurality of states including appropriateness, high business load, low business load, relaxation, distraction, poor physical condition and the like. In addition to this, the state of productivity may be classified in various manners.

  The proposing unit 104 determines the productivity of the worker in the determination period based on the concentration level and the emotion level of the worker measured in a predetermined determination period. When the concentration level and the emotion level are measured a plurality of times in the determination period, the suggestion unit 104 may calculate an average value of the concentration levels and an average value of the emotion levels in the determination period. Then, the proposal unit 104 may determine the productivity of the determination period based on the average value of the concentration level and the average value of the emotion level.

  In addition to this, when the concentration level and emotion level are measured multiple times during the determination period, the productivity of each time may be determined based on the concentration level and emotion level measured each time. And what averaged several productivity in each time may be made into productivity of this judgment period.

  Further, the proposal unit 104 may determine the productivity of the worker in consideration of the type of work of the worker or the current work. Specifically, for example, when the current work is a meeting, it is considered that the concentration level of the worker is high when speaking or the like, and otherwise the concentration level of the worker is lowered. Therefore, in this case, the proposing unit 104 may determine the productivity in a state in which, for example, the weighting to the emotion level is larger than the concentration level. On the other hand, when the current work of the worker is desk work, for example, the proposal unit 104 may determine the productivity in a state in which the weighting of the concentration level and the weighting to the emotion level are equal.

(3) Regarding the proposal of the improvement plan Next, based on the determined productivity of the worker, a function of proposing the improvement plan for improving the productivity of the worker will be described. Specifically, for example, the proposal unit 104 notifies the worker who improves the productivity (hereinafter, the target person) and / or the superior of the target person, a colleague, or the like (hereinafter, the related person) with the improvement plan. It is good. Further, for example, the proposal unit 104 may notify the improvement plan by displaying the improvement plan on the display unit 15. Further, for example, the proposal unit 104 communicates with a PC, a portable terminal, etc. used by the target person and / or the related person via wired communication or wireless communication, and displays the improvement plan on the PC, the portable terminal, etc. Then, the improvement plan may be notified. In addition to this, the proposal unit 104 may notify of the improvement plan by voice, for example, using a speaker or the like. Further, in the present embodiment, a short-term improvement plan and a long-term improvement plan are provided as types of improvement plans. Note that one of the short-term improvement plan and the long-term improvement plan may be provided.

(A) Short-term improvement plan If the productivity of the worker in a predetermined determination period is not good, the proposal unit 104 proposes the short-term improvement plan for the worker as a target person. Specifically, for example, when the productivity of the worker is in a specific state other than good, it may be considered that the productivity of the worker is not good. In addition, the length of the determination period may be, for example, about several tens of minutes to several hours, or about 10 hours to several days. Hereinafter, such productivity is also referred to as short-term productivity. In addition, the short-term improvement plan may be, for example, taking a meal, a snack, or a favorite item (eg, coffee, tea, etc.), etc., and is a proposal for a nap, a break, a return, or a vacation. It is good. Further, the short-term improvement plan may be, for example, an interview with a superior or a counselor, a reduction of work, or the like.

  The proposal unit 104 proposes an improvement proposal based on the productivity of the worker determined one or more times. The explanatory diagrams 200 to 202 of FIG. 4 show, as an example, the productivity continuously determined several times a day. For example, as illustrated in the explanatory diagram 200, the proposing unit 104 may propose returning home as an improvement plan when the productivity is poor. In addition, for example, as illustrated in the explanatory diagram 201, the proposing unit 104 is configured to produce when the productivity is low after being overworked, or after the plurality of continuously determined productivity is good. If sex is bad, you may suggest a break as an improvement plan. In addition, for example, as illustrated in the explanatory diagram 202, when the plurality of continuously determined productivity is bad, the proposal unit 104 may propose returning home as an improvement plan.

  In addition, explanatory diagrams 203 to 205 in FIG. 4 show the productivity continuously determined plural times in one month. For example, as illustrated in the explanatory diagram 203, the proposing unit 104 may propose the acquisition of a vacation as an improvement plan when the productivity is poor. In addition, the proposal unit 104 may propose an interview with the superior as an improvement plan, for example, when the plurality of continuously determined productivity is bad as illustrated in the explanatory diagram 204. Further, for example, as illustrated in the explanatory diagram 204, when the plurality of continuously determined productivity is overworked, the proposal unit 104 may propose the reduction of work as an improvement plan.

(A) Long-term improvement plan The proposal unit 104 proposes a long-term improvement plan based on an average variation pattern of worker productivity in a predetermined work period. The work period is a period which periodically arrives a plurality of times in a predetermined evaluation target period. The work period may be, for example, a period of one day, one week, one month, and the like.

  Here, the work period is divided into a plurality of divided periods. Each division period periodically arrives a plurality of times in the evaluation target period. Specifically, the division period may be, for example, a specific time zone of one day if the work period is one day. Also, the division period may be, for example, each day of the month to Friday, as long as the work period is one week.

  The proposing unit 104 calculates an average value of the concentration level of the worker and an average value of the emotion level for each divided period based on the measurement results of the concentration level and the emotion level of the worker in the evaluation target period. In addition, the proposal unit 104 determines, for each division period, the average productivity based on the average value of the concentration level of the worker in the division period and the average value of the emotion level. And the fluctuation of average productivity of each division period in a work period is specified as a fluctuation pattern mentioned above.

  In addition to this, the proposing unit 104 may determine the productivity with each divided period that has arrived in the evaluation target period as a determination period. In addition, the proposal unit 104 may average the plurality of productivity values determined for each division period. Then, the above-mentioned fluctuation pattern in the work period may be specified by the averaged productivity for each divided period.

Hereinafter, the average fluctuation pattern of productivity in the work period specified in this way will also be described as long-term productivity.
In addition, long-term improvement proposals are, for example, interviews with superiors or counselors, reduction of work, change of work to be in charge, change of department to be assigned, change of working hours, disposal of pay reduction or demotion etc. good.

  FIG. 5 shows, as an example, an average fluctuation pattern of productivity in which one day is a working period and a specific time zone in one day is a divided period. For example, when the productivity becomes good in a specific time zone, as in the variation patterns 210 and 211, for example, the proposing unit 104 changes the working time zone so that the start time of work and the productivity are good. You may suggest to do. Also, in such a case, the proposing unit 104 changes, for example, the work to be performed in the time zone in which the productivity is good or the work in which high ability is required in the time zone in which the productivity is good. You may suggest to do. Also, in such a case, the proposal unit 104 may, for example, propose movement to a department where such work is performed. In addition, for example, when the average productivity does not become good, as in the change pattern 212, or when the time period in which the average productivity becomes good is very short, the proposal unit 104 An interview with the applicant may be proposed, or a disposition to the target person may be proposed.

(C) Others In addition, the proposal unit 104 may store the short-term productivity and the long-term productivity of each worker in the management database 13a. Then, the proposal unit 104, through the display unit 15 and the like, the short-term and / or long-term productivity of each worker stored in the management database 13a with the work type of the worker, the current work, etc. May be presented. Based on such information, it becomes possible to perform personnel evaluation of each worker more appropriately.

(4) Application of Stimulation The stimulation unit 105 gives the above-mentioned stimulation to the worker (hereinafter referred to as the subject) when the worker's short-term productivity is not good. In addition, the stimulation unit 105 may provide stimulation to a subject for which the above-described short-term improvement plan is proposed. Specifically, the stimulation unit 105 may communicate with the stimulus applying device 21 via the communication unit 14 and may instruct the stimulus applying device 21 to apply a stimulus to the subject.

(5) Learning The learning unit 106 performs a learning process of determining a newly proposed improvement plan by the proposing unit 104 based on the productivity of one or more target persons after the improvement plan is proposed.

  In the learning process, for example, the learning unit 106 determines the improvement effect of the productivity of the target person after each of the improvement plans is proposed for the target person for whom a plurality of different improvement plans have been proposed. Also good. Specifically, the improvement effect of productivity may be, for example, the length of a period in which the productivity of the subject continues in a specific state (for example, good), or the specific state as the productivity of the subject is The determination may be made based on the determined number of times or the like. Then, the learning unit 106 identifies the improvement plan having the highest improvement effect on productivity among the plurality of improvement plans proposed to the target person, and thereafter, the identified improvement plan as the improvement plan for the target person Also good.

  Further, in the learning process, the learning unit 106 may determine the content of the improvement plan based on, for example, the productivity after the proposal of the improvement plan for a plurality of workers. Specifically, for example, it is assumed that a plurality of different improvement plans are proposed to a plurality of subjects. In this case, the learning unit 106 may specify an improvement proposal in which the target person having the largest improvement effect of productivity is present among the improvement proposals. Then, the learning unit 106 may cause the proposal unit 104 to propose the identified improvement plan.

  Further, in the learning process, the learning unit 106, for example, based on management information, concentration level, emotion level, and / or productivity of each worker stored in the management database 13a, It may be classified into any of the types. Then, the learning unit 106 may identify an optimal improvement plan corresponding to each type of worker, and the identified improvement plan may be suggested by the proposal unit 104.

Furthermore, in the learning process, the type of stimulus newly given by the stimulation unit 105 may be determined based on the productivity of one or more subjects after the stimulus is given.
That is, in the learning process, for example, the learning unit 106 determines, for a subject to which a plurality of different stimuli have been given, the improvement effect of the productivity of the subject after each of the stimuli has been given. Also good. Then, the learning unit 106 may specify a stimulus with the highest improvement in productivity among the stimuli given to the subject, and thereafter, the identified stimulus may be a stimulus to be given to the subject.

  Also, in the learning process, the learning unit 106 may determine the stimulation based on, for example, the productivity after the stimulation for a plurality of workers is given. Specifically, for example, it is assumed that a plurality of subjects are given a plurality of different stimuli. In this case, the learning unit 106 may specify a stimulus with the largest number of subjects having the highest productivity improvement effect among these stimuli. Then, the learning unit 106 may cause the stimulation unit 105 to give the identified stimulus.

[3. processing]
(1) Brain State Detection Process Next, the brain state detection process of detecting the brain state of each worker and measuring the concentration level and emotion level of each worker will be described with reference to the flowchart of FIG. The short-term proposal process is executed by the control unit 11 of the productivity determination device 10. In addition, the short-term proposal processing is executed at periodic timing.

In S300, the concentration level measuring unit 100 and the emotion level measuring unit 101 detect the brain state of the worker to which the detector 16 is attached by using the detectors 16.
In S305, the concentration level measurement unit 100 extracts feature quantities for measurement of concentration levels from the brain state of each worker. Further, the emotion level measurement unit 101 extracts feature amounts for measuring the emotion level from the brain state of each worker.

  In S310, the concentration level measurement unit 100 measures the concentration level of each worker based on the feature amount of the brain condition of each worker. Specifically, the concentration level may be measured by comparing the feature amount with one or more feature patterns provided for measurement of the concentration level. Alternatively, the concentration level may be measured by comparing the variation pattern of the feature amount in a predetermined period with one or more variation patterns provided for measuring the concentration level.

  In S315, the emotion level measurement unit 101 measures the emotion level of the worker based on the feature amount of the brain condition of each worker. Specifically, the emotion level may be measured by comparing the feature amount with one or more feature patterns provided for measuring the emotion level. Also, the emotion level may be measured by comparing the variation pattern of the feature amount in a predetermined period with one or more fluctuation patterns provided for measuring the emotion level.

In S320, the acquisition unit 102 acquires management information of each worker from the external system 20.
In S325, the storage control unit 103 stores the concentration level and emotion level of each worker measured in S310 and S315 in the management database 13a. The storage control unit 103 also stores the management information of each worker obtained in S320 in the management database 13a. Then, the process ends.

(2) Short-term proposal process Next, the short-term proposal process which is an example of the process which proposes a short-term improvement plan is demonstrated using the flowchart of FIG. The short-term proposal process is executed by the control unit 11 of the productivity determination device 10. In addition, the short-term proposal processing is executed at periodic timing.

  In S400, the proposal unit 104 determines the short-term productivity of each worker based on the content of the management database 13a. In addition, the proposal unit 104 may store the productivity determined for each worker in the management database 13a.

  In S405, the proposal unit 104 determines whether or not the short-term productivity is good for each worker. As an example, the proposal unit 104 may consider that the worker whose concentration level is lowered for a predetermined period is not good in the short-term productivity. Then, the proposal unit 104 proposes the above-described short-term improvement plan to each of one or a plurality of workers (in other words, target persons) whose short-term productivity is not good.

  The proposal unit 104 may determine the content of the short-term improvement plan for the target person based on the current work included in the management information of the target person stored in the management database 13a. That is, the proposing unit 104 may not propose a short-term improvement plan that interferes with the current work of the target person. As a specific example, when the target person is conducting a meeting, customer service, etc., the proposing unit 104 may not make a nap, a break, a return home, a vacation proposal, or the like.

  In S410, the stimulation unit 105 determines whether or not the short-term productivity is good for each worker. The stimulation unit 105 may perform the determination based on the same criteria as the proposal unit 104, or may perform the determination based on a criteria different from that of the proposal unit 104. Then, the stimulation unit 105 provides stimulation to each of one or more workers whose short-term productivity is not good. Note that, for example, the productivity determination device 10 may be configured not to apply the stimulation by the stimulation unit 105.

  In S415, the learning unit 106 executes the above-described learning process, and determines the content of the short-term improvement plan newly proposed by the proposing unit 104 based on the short-term productivity of each worker newly determined. At the same time, the stimulation to be newly given by the stimulation unit 105 is determined. Then, the process ends.

(3) Long-term proposal process Next, a long-term proposal process, which is an example of a process for proposing a long-term improvement plan, will be described using the flowchart of FIG. The long-term proposal process is executed by the control unit 11 of the productivity determination device 10. In addition, the long-term proposal processing is executed at periodic timing.

In S500, the proposal unit 104 determines the long-term productivity of each worker based on the content of the management database 13a.
In S505, based on the long-term productivity of each worker, the proposal unit 104 proposes the above-mentioned long-term improvement plan for the worker to the worker.

  In S510, the learning unit 106 executes the above-described learning process, and determines the content of the long-term improvement plan newly proposed by the proposing unit 104 based on the long-term productivity of each worker newly determined. . Then, the process ends.

[4. effect]
According to the above-mentioned embodiment, the following effects are produced.
(1) According to the above embodiment, the brain condition of each worker is detected by one detector 16 attached to the worker. Then, the concentration level and emotion level of the worker are measured based on the brain condition of each worker, and the productivity of the worker is determined based on the measurement result. For this reason, it is possible to determine the productivity of the worker without using many types of sensors. Therefore, it is possible to simply grasp the degree of contribution of the worker who does the work.

  (2) More specifically, the brain state indicates the distribution of oxygenated hemoglobin in the brain. Therefore, it is possible to accurately measure the concentration level and the emotion level without using many types of sensors.

  (3) Also, the brain state is detected by the cerebral blood flow sensor 16a that performs near-infrared irradiation and detection. Therefore, the concentration level and the emotion level can be accurately measured by one type of sensor.

(4) In addition, improvement proposals for improving productivity are proposed to each worker. Therefore, the productivity of each worker can be improved, and the overtime work can be suppressed.
(5) Specifically, if the worker's short-term productivity is not good, a short-term improvement plan is proposed to the worker. The short-term improvement plan is, for example, a proposal such as a meal or a break. For this reason, it can control that a worker's health is harmed.

  (6) Also, based on the long-term productivity of each worker, a long-term improvement plan is proposed to the worker. The long-term improvement plan is, for example, a change in work in charge, a change in working hours, and the like. For this reason, it becomes possible to assign a work according to the ability to each worker or set a working time zone according to the lifestyle.

  (7) Further, the contents of the improvement proposal are determined by the learning process based on the productivity of one or more workers after the improvement proposal is proposed. Therefore, it is possible to propose an effective improvement plan.

(8) In addition, a worker with poor productivity is given a stimulus. Therefore, the productivity of the worker can be improved.
(9) Further, the short-term productivity and the long-term productivity of each worker are stored in the management database 13a. Therefore, based on the productivity of each worker stored in the management database 13a, it is possible to grasp the degree of effort by each worker, the degree of contribution not appearing as a result, and the like. Therefore, each worker can be evaluated more objectively.

[5. Other embodiments]
As mentioned above, although embodiment of this indication was described, this indication can be variously deformed and implemented, without being limited to the above-mentioned embodiment.

  (1) In the above embodiment, the distribution of the concentration of oxygenated hemoglobin in the brain of the worker is determined using the one or more cerebral blood flow sensors 16a that irradiate near infrared rays and detect reflected waves of the near infrared rays. It is detected as a state. The concentration level and emotion level are then measured based on the brain state. However, for example, the distribution of the concentration of hemoglobin in the brain of the worker or the distribution of the concentration of blood may be detected as the brain state. In addition, even if brain conditions are detected by one or more sensors that irradiate and detect media other than near-infrared light, such as ultrasonic waves and laser light, instead of one or more cerebral blood flow sensors 16a. good.

  (2) In the above embodiment, the productivity determination device 10 determines the productivity of a plurality of workers, proposes an improvement plan for productivity to each worker, and stimulates workers whose productivity is not good. give. However, the productivity determination apparatus 10 may determine the productivity of one worker, propose the productivity improvement plan to the worker, and give the worker if the productivity is not good. In this case, the productivity determination device 10 may have one detector 16.

  (3) The plurality of functions of one component in the above embodiment may be realized by a plurality of components, or one function of one component may be realized by a plurality of components . Also, a plurality of functions possessed by a plurality of components may be realized by one component, or one function realized by a plurality of components may be realized by one component. In addition, part of the configuration of the above embodiment may be omitted. In addition, at least a part of the configuration of the above-described embodiment may be added to or replaced with the configuration of the other above-described embodiment. In addition, all the aspects contained in the technical thought specified from the wording described in the claim are an embodiment of this indication.

  (4) In addition to the above-described productivity determination apparatus 10, a system having the productivity determination apparatus 10 as a component, the above-described productivity determination program, and a non-transient actual recording medium such as a semiconductor memory recording the productivity determination program The present disclosure can also be realized in various forms, such as the productivity determination method implemented by the productivity determination apparatus 10.

[6. Correspondence with the claims]
The correspondence between the terms used in the description of the above embodiment and the terms used in the description of the claims is shown.

  The control unit 11 of the productivity determination device 10 corresponds to a brain state detection unit, a productivity measurement unit, an improvement plan suggestion unit, a learning unit, and a stimulation unit. Further, the concentration level measuring unit 100 and the emotion level measuring unit 101 correspond to the brain state detecting unit and the productivity measuring unit, and the proposing unit 104 corresponds to the productivity measuring unit and the improvement proposal proposing unit. Further, S300 of the brain condition detection processing corresponds to the brain condition detection unit, and S305 to S315 and S325 correspond to the productivity measurement unit. Further, S400 of the short-term proposal process corresponds to the productivity measurement unit, S405 corresponds to the improvement proposal unit, S410 corresponds to the stimulation unit, and S415 corresponds to the learning unit. Further, S500 of the long-term proposal process corresponds to the productivity measurement unit, S505 corresponds to the improvement proposal unit, and S510 corresponds to the learning unit.

  DESCRIPTION OF SYMBOLS 10 ... Productivity determination apparatus, 11 ... Control part, 16 ... Detector, 16a ... Brain blood flow sensor, 100 ... Concentration level measurement part, 101 ... Emotion level measurement part, 102 ... Acquisition part, 103 ... Storage control part, 104 ... proposal part, 105 ... stimulation part, 106 ... learning part.

Claims (10)

A productivity determination device (10) configured to make a determination about one or more workers doing work, comprising
A brain condition, which is a condition of blood in the brain in each of the one or more workers, is detected by one or more detectors (16, 16a) attached to each of the one or more workers. A brain state detection unit (11, 100, 101, S300) configured to
A productivity measurement unit (11, 100, 101, 104, S305 to S315, S325, S400, configured to determine a productivity that is a degree that contributes to the achievement of the work in each of the one or more workers S500), and,
The productivity measuring unit is a concentration level which is a degree to which the worker whose brain state is detected concentrates on the work based on the brain state, and a degree related to pleasure which is caused to the worker A productivity determination device that measures emotion level and determines the productivity of the worker based on the measurement result. In the productivity determination device according to claim 1,
The brain state is a state related to hemoglobin bound to oxygen contained in the blood in the brain. In the productivity determination device according to claim 1 or 2,
The one or more detectors are configured to emit near-infrared light and to detect near-infrared reflected waves. In the productivity determination device according to any one of claims 1 to 3,
The improvement proposal proposal unit (11, 104, S405 configured to propose an improvement plan for improving the productivity of the worker based on the productivity of the worker determined by the productivity measurement unit , S505) The productivity determination device. In the productivity determination device according to claim 4,
The improvement proposal proposal unit proposes the improvement proposal when the productivity of the worker determined by the productivity measurement unit is not good. In the productivity determination device according to claim 4,
The improvement plan proposal unit specifies an average fluctuation pattern of the productivity in a predetermined work period of the worker based on the productivity of the worker determined by the productivity measurement unit, A productivity judging device which proposes the improvement proposal based on the average change pattern. The productivity determination apparatus according to any one of claims 4 to 6.
A learning unit (11, 106) configured to determine the improvement proposal newly proposed by the improvement proposal proposal unit, based on the productivity of the one or more workers after the improvement proposal is proposed. , S415, S510). In the productivity determination device according to any one of claims 1 to 7,
A productivity judging device, further comprising: a stimulation unit (11, 105, S410) configured to give a stimulus to the worker when the productivity of the worker determined by the productivity measuring unit is not good. A productivity determination program (12, 13) configured to make a determination about one or more workers doing work, comprising
A brain condition, which is a condition of blood in the brain in each of the one or more workers, is detected by one or more detectors (16, 16a) attached to each of the one or more workers. A brain state detection unit (100, 101, S300) configured to
A productivity measurement unit (100, 101, 104, S305 to S315, S325, S400, S500) configured to determine productivity that is a degree that contributes to the achievement of the work in each of the one or more workers. Run the computer, as
The productivity measuring unit is a concentration level which is a degree to which the worker whose brain state is detected concentrates on the work based on the brain state, and a degree related to pleasure which is caused to the worker A productivity determination program which measures emotion level and determines the productivity of the worker based on the measurement result. A productivity determination method for determining one or more workers doing a job, comprising:
A brain condition, which is a condition of blood in the brain in each of the one or more workers, is detected by one or more detectors (16, 16a) attached to each of the one or more workers. (100, 101, S300),
Determine the productivity that is the degree that contributes to the achievement of the work in each of the one or more workers (100, 101, 104, S305 to S315, S325, S400, S500),
In determining the productivity, based on the brain condition, the concentration level which is the degree to which the worker whose brain condition is detected concentrates on the work, and the degree related to the pleasure occurring to the worker A productivity determination method of measuring a certain emotion level and determining the productivity of the worker based on the measurement result.