JP2023030434A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide a technique that contributes to correct evaluation of a worker's work skill.SOLUTION: An information processing device compares an actual work time for a predetermined work with a preset standard work time, and if the actual work time does not exceed the standard work time, determines that a worker is proficient in the predetermined work. The information processing device monitors, based on the worker's vital data, emotional fluctuations of the worker who is performing the predetermined work, and determines that the worker is good at the predetermined work when the emotional fluctuations are not detected. The information processing device determines health conditions of the worker based on the worker's vital data, and when it is determined that the worker is in poor health, replaces a determination result that the worker is not good at with the determination result that the worker is in poor health. Then, the information processing device creates an evaluation result regarding the predetermined work based on those determination results.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, method and program. More particularly, the present invention relates to an information processing device, an information processing method, and an information processing program for evaluating work skills of workers regarding predetermined work.

In a business that provides services, it is necessary to keep workers' skills constant in order to maintain service quality. In order to satisfy such a need, Patent Literature 1 discloses a technique of performing work capacity analysis for extending the productivity of workers. Further, Patent Literatures 2 and 3 disclose techniques for estimating deterioration in performance (work quality) in consideration of the stress, fatigue, emotions, etc. of the worker.

Japanese Patent Application Laid-Open No. 2021-051620 JP 2020-060993 A JP 2018-142259 A

The following analysis is made in light of the present invention. In addition, each disclosure of the above prior art documents is incorporated into this document by reference.

The techniques disclosed in Patent Literatures 1 to 3 above have the problem that the work skills of workers may not be evaluated correctly. That is, work skills should be evaluated based on the worker's best or average performance. However, in Patent Document 1, analysis is performed based on the heart rate and working time during actual work, but it does not take into consideration the state where the best or normal performance cannot be exhibited due to accidental circumstances. Work skills (work ability) cannot be evaluated correctly. In addition, Patent Documents 2 and 3 are techniques for estimating performance deterioration due to stress, etc., on the premise that work skills (performance) are correctly evaluated in the first place, and it is necessary to correctly evaluate the work skills that are the premise. do not contribute to

Accordingly, an object of the present invention is to provide a technique that contributes to the correct evaluation of the work skills of workers.

According to the first aspect of the present invention,
An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. a proficiency determination unit that determines that
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. A good judgment unit that judges that
The health condition of the worker is determined based on the vital data of the worker, and when the worker is determined to be in poor health, the result of the determination by the good determination unit that the worker is not good at health A health condition determination unit that replaces the result of determination that it is defective;
an evaluation result creation unit that creates an evaluation result regarding the predetermined work based on the determination results of the proficiency determination unit, the skill determination unit, and the health condition determination unit;
An information processing device including

According to the second aspect of the present invention,
An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. A proficiency judgment step for judging that
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. a good judgment step of judging that
The health condition of the worker is determined based on the vital data of the worker, and if it is determined that the worker is in poor health, the result of determination that the worker is not good at the good determination step is A health condition determination step for replacing the determination result of being unsatisfactory;
an evaluation result creation step of creating an evaluation result regarding the predetermined work based on the determination results of the proficiency determination step, the skill determination step, and the health condition determination step;
An information processing method is provided comprising:

According to the third aspect of the present invention,
An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. A proficiency determination process for determining
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. a good judgment step of judging that
The health condition of the worker is determined based on the vital data of the worker, and when it is determined that the worker is in poor health, the result of determination that the worker is unskilled by the good determination step is determined to be in good health. A health condition determination step of replacing with a determination result indicating that it is bad;
an evaluation result creation step of creating an evaluation result regarding the predetermined work based on the determination results of the proficiency determination step, the skill determination step, and the health condition determination step;
There is provided an information processing program that causes a computer to execute

According to each aspect of the present invention, there are provided devices, methods, and programs that contribute to correctly evaluating work skills of workers.

1 is a diagram for explaining an overview of the present invention; FIG. 1 is a block diagram of a work skill determination system related to the first embodiment of the present invention; FIG. 4 is a diagram showing an example of information stored in a work history DB 16; FIG. It is a figure which shows an example of a work evaluation report. 4 is a diagram showing an example of information stored in an evaluation result storage unit 18; FIG. It is a figure which shows an example of a skill evaluation result. FIG. 11 is a sequence diagram showing an example of the flow of evaluation result creation processing; FIG. 11 is a sequence diagram showing an example of the flow of skill evaluation processing; FIG. 11 is a sequence diagram showing another example of the flow of evaluation result creation processing;

Possible preferred embodiments of the present invention will be described in detail with reference to the drawings. It should be noted that the drawing reference numerals added to the following description are added to each element for convenience as an example to aid understanding, and are not intended to limit the present invention to the illustrated embodiments. Also, connecting lines between blocks in each figure include both bi-directional and uni-directional. The unidirectional arrows schematically show the flow of main signals (data) and do not exclude bidirectionality. Furthermore, in the circuit diagrams, block diagrams, internal configuration diagrams, connection diagrams, etc. disclosed in the present application, an input port and an output port exist at the input end and the output end of each connection line, respectively, although not explicitly shown. Input/output interfaces are similar.

First, an outline of the present invention will be explained. It should be noted that the drawing reference numerals added to this outline are added to each element for convenience as an example to aid understanding, and the description of this outline does not intend any limitation.

As shown in FIG. 1 , the information processing device 10 includes a proficiency determination unit 11 , a skill determination unit 12 , a health condition determination unit 13 and an evaluation result creation unit 14 . The proficiency determination unit 11 compares the actual work time for the predetermined work with a preset standard work time, and if the actual work time does not exceed the standard work time, Judged as proficient. A good judgment unit 12 monitors emotional fluctuations of the worker while performing a predetermined work based on the worker's vital data, and if no emotional fluctuation is detected, the worker is good at the predetermined work. It is determined that The health condition determination unit 13 determines the health condition of the worker based on the vital data of the worker, and when the worker is determined to be in poor health, the good determination unit 12 determines that the worker is unskilled. The result is replaced with the determination result indicating poor health. The evaluation result creation unit 14 creates an evaluation result regarding a predetermined work based on the determination results of the proficiency determination unit 11 , the skill determination unit 12 and the health condition determination unit 13 .

As described above, in the information processing apparatus 10, the determination result regarding the worker's strengths/weaknesses can be revised in consideration of the worker's health condition. In other words, in the information processing apparatus 10 described above, the data in a state where the performance is degraded due to poor health is not reflected in the evaluation results regarding the strengths/weaknesses. Therefore, according to the information processing apparatus 10 described above, the work skill of the worker can be correctly evaluated.

[Embodiment 1]
Embodiment 1 will be described below as a specific example of the present invention. In the first embodiment, the work skill determination system shown in FIG. 2 will be described as an example. The work skill determination system includes an information processing device 10 and a mobile terminal 50 .

The mobile terminal 50 has a sensor that measures the pulse rate, heart rate, perspiration amount, body temperature, etc. of the worker from the worker, and transmits the measured vital data to the information processing apparatus 10 . The mobile terminal 50 can be configured as a smart phone, or can be configured as a dedicated terminal. In addition, pulse rate, heart rate, amount of perspiration, body temperature, etc. may be measured at least twice, once during work and once during non-work, based on the operator's operation. The measurement may be executed, or may be executed at a predetermined timing after the start of work. Furthermore, pulse rate, heart rate, perspiration amount, body temperature, etc. may be measured continuously during work. Further, the mobile terminal 50 may transmit work data indicating work content, work location, work start time, work end time, time required for work, and the like to the information processing apparatus 10 .

In the following description, the portable terminal 50 transmits the heart rate once in the morning as vital data when not working, and intermittently (every 10 seconds) as vital data during work, Work data shall be transmitted at work start time and work end time.

The information processing device 10 includes a receiving unit 15 , a work history DB (database) 16 , a data processing unit 17 , an evaluation result storage unit 18 , a skill evaluation unit 19 and an output unit 20 . The data processing unit 17 includes the proficiency determination unit 11, the skill determination unit 12, the health condition determination unit 13, and the evaluation result creation unit 14, which have been described in the overview above. Note that the components of the information processing apparatus 10 are connected to each other via an internal bus or the like.

The receiving unit 15 is a so-called input interface, receives vital data and work data from the mobile terminal 50 and stores the data in the work history DB 16 .

The work history DB 16 stores vital data and work data in association with each other. To give a specific example, the work history DB 16 includes, as shown in FIG. , "work end time", "time required for work", etc. are stored. The “date and time” is, for example, the time when the receiving unit 15 received the data from the mobile terminal 50 . The “worker name” can be identified by the identification information of the mobile terminal 50 or the like. “Heart rate” is vital data of the worker measured by the mobile terminal 50 . The “work place”, “work content”, “work start time”, and “work end time” may be work data input to the mobile terminal 50 by the worker, for example. The "time required for work" can be calculated from the "work start time" and "work end time".

Here, the data at 9:00:00 is used to determine the health condition of the worker, as will be described later. The data after 10:00:00 is data during work, and is used to determine the worker's strengths/weaknesses, as will be described later.

The data processing unit 17 includes a proficiency determination unit 11, a skill determination unit 12, a health condition determination unit 13, and an evaluation result creation unit 14. The data processing unit 17 refers to the work history DB 16 periodically, for example, every day, and make an assessment. Although the proficiency determination unit 11, the skill determination unit 12, the health condition determination unit 13, and the evaluation result generation unit 14 are the same as those described above, a specific description will be given below using an example.

The proficiency determination unit 11 associates various types of work with standard work times and stores them in advance. Then, the proficiency determination unit 11 reads out the work actually performed by the worker and the time required for the work from the work history DB 16, and compares them with the corresponding standard work time. Here, the standard work time is, for example, the average work time when a plurality of workers perform the same work. For example, it is assumed that the proficiency determination unit 11 stores "1.5 hours" as the standard work time for "system maintenance". In the example of FIG. 3, the proficiency determining unit 11 reads "1 hour" from the work history DB 16 as the time required for actual system maintenance. Here, since the time required for actual system maintenance is shorter than the standard work time, the proficiency determining unit 11 determines that "worker A is proficient in system maintenance". On the other hand, when the proficiency determination unit 11 reads out the time exceeding "1.5 hours" as the time required for actual system maintenance from the work history DB 16, the proficiency determination unit 11 determines that "worker A is not skilled in system maintenance." Yes.

The proficiency determining unit 12 determines whether the work determined by the proficiency determining unit 11 to be proficient is good or not. Specifically, the good judgment unit 12 pre-stores judgment thresholds for various vital data. Then, the good determination unit 12 reads the vital data during actual work from the work history DB 16 and compares it with the determination threshold.

For example, it is assumed that the good judgment unit 12 stores "120" as the heart rate judgment threshold. In the example of FIG. 3 , the good determination unit 12 reads data after 10:00:00 from the work history DB 16 . Here, since no heart rate exceeding "120" is found, the skill determination unit 12 determines that the worker's emotions did not fluctuate. This determination result is considered to be "the worker is good at the work, so there was no frustration, impatience, or stress". In other words, the skill determining unit 12 determines that "worker A is good at system maintenance". On the other hand, if a heart rate exceeding "120" is found, it is determined that the worker has significant emotional fluctuations. This judgment result is regarded as ``the heart rate has increased due to frustration, impatience, stress, etc., because the work is unfamiliar to the worker''. In other words, the skill determining unit 12 determines that "worker A is not good at system maintenance".

It should be noted that existing techniques can be applied to determine the presence or absence of emotional fluctuations such as irritability, impatience, and stress. For example, in Patent Document 2, based on the autonomic nerve balance (hereinafter referred to as the LF/HF ratio), which indicates the ratio of the low frequency component and the high frequency component of the fluctuation of the RR interval indicated by the heartbeat data during work, A technique for determining the presence or absence of time stress is disclosed. Alternatively, the presence or absence of emotional fluctuation may be determined based on the amount of perspiration, body temperature, or the like.

The health condition determination unit 13 determines the health condition of the worker based on the vital data of the worker. In the example of FIG. 3 , the health condition determination unit 13 reads data at 9:00:00 from the work history DB 16 . The data at 9:00:00 is the data when the worker is not working, and the heart rate is "90", so the health condition determination unit 13 determines that the worker is healthy. It should be noted that existing technology can be applied to the determination of the health condition as well. Also, the health condition may be determined based on body temperature or the like.

Here, it is assumed that the health condition determination unit 13 determines that the worker is in poor health from the vital data of the worker. In this case, the health condition determination unit 13 replaces the result of determination by the good determination unit 12 that the user is unskilled with the result of determination that the user is in poor health. That is, the health condition determination unit 13 regards the worker as having failed to exhibit the best performance due to poor health, and revises the evaluation of "poor health" to "poor health".

It should be noted that the health condition can be replaced with various elements. For example, circumstances such as unhappiness in the family can be taken into consideration. In short, the state of health can be replaced by the presence or absence of contingent circumstances that prevent workers from performing at their best. Note that the determination result of "unskilled" by the proficiency determining unit 11 may be revised to "poor health".

The evaluation result creation unit 14 creates an evaluation result of the worker A regarding system maintenance on April 1 based on the determination results of the proficiency determination unit 11, the skill determination unit 12, and the health condition determination unit 13, and stores the evaluation result storage unit. 18. Note that the evaluation result creation unit 14 may output the created evaluation result as a work evaluation report via the output unit 20 . FIG. 4 is an example of a work evaluation report.

The evaluation result storage unit 18 accumulates evaluation results created by the evaluation result creation unit 14 . Specifically, as shown in FIG. 5, the evaluation result storage unit 18 associates and stores the date and time when the work was performed, the content of the work, and the evaluation result. In other words, the evaluation result storage unit 18 accumulates a log of evaluation results.

The skill evaluation unit 19 aggregates the logs accumulated in the evaluation result storage unit 18 while excluding logs indicating poor health, and evaluates the skill of the worker. Specifically, the skill evaluation unit 19 periodically, for example, every six months refers to the evaluation result storage unit 18 to evaluate the worker's skill. To explain using the example shown in FIG. 5, the skill evaluation unit 19 evaluates “unskilled” on April 1, “unskilled” on April 2, etc. as the evaluation results regarding system maintenance by worker A. Read from the result storage unit 18 . Here, it is assumed that the skill evaluation unit 19 reads out "inexperienced" five times and "unskilled" five times as the evaluation results regarding system maintenance by worker A. FIG. In this case, the skill evaluation unit 19 evaluates the skill related to system maintenance of the worker A as "inexperienced to unskilled". On the other hand, it is assumed that the skill evaluation unit 19 reads out "bad health" once and "proficiency" nine times as the evaluation result of worker A's server inspection. In this case, the skill evaluation unit 19 does not consider (excludes) the evaluation result of "poor health" on April 1, but based only on the nine evaluation results of "proficiency" Evaluate the skill related to server inspection as "skilled". In other words, although the evaluation result on April 1 was originally "poor", it was revised to "poor health", and as a result it was not counted (ignored). Then, the skill evaluation unit 19 outputs skill evaluation results via the output unit 20 . FIG. 6 shows an example of skill evaluation results.

Further, the skill evaluation unit 19 may perform skill evaluation by weighting the evaluation results. For example, the skill evaluation unit 19 assigns 3 points to ``proficiency'', 2 points to ``weak'', and 1 point to ``unskilled'', and does not count ``poor health''. Here, for example, if the average score is 2.5 or more, the skill evaluation unit 19 determines that the skill is "skilled", and if the average score is 1.5 or more and less than 2.5, it determines that the skill is "poor". If it is less than 5, it is judged as "unskilled".

The output unit 20 is a so-called output interface. For example, the output unit 20 outputs and displays the skill evaluation result on a display owned by an administrator who manages the worker's schedule. Also, the output unit 20 outputs and displays the skill evaluation result on the display of the mobile terminal 50 .

The flow of processing by the information processing apparatus 10 will be described below. The processing by the information processing apparatus 10 includes data storage processing performed each time vital data and work data are received from the portable terminal 50, evaluation result creation processing performed, for example, every day, and skill evaluation processing performed, for example, every six months. can be divided into Since the data storage process simply receives and stores data, a description using a flowchart is omitted.

In the evaluation result creation process, as shown in FIG. 7, the information processing device 10 reads out the work actually performed by the worker and the time required for the work from the work history DB 16 to determine whether the worker has mastered the work. It is determined whether the player is proficient or inexperienced (step S101). In other words, the information processing device 10 determines whether or not the actual work time exceeds the standard work time. Here, when it is determined that the user is unskilled (step S101, No), the information processing apparatus 10 stores the evaluation result indicating "unskilled" in the evaluation result storage unit 18 in association with the work content. (Step S102).

On the other hand, when it is determined that the worker is proficient (step S101, YES), the information processing apparatus 10 determines whether the worker is good at or not good at the work (step S103). In other words, the information processing apparatus 10 determines whether there is a change in emotion exceeding the threshold during actual work. If the information processing apparatus 10 determines that it is good at this step (step S103, No), the information processing apparatus 10 stores the evaluation result indicating that it is good at being associated with the work content in the evaluation result storage unit 18 (step S104).

On the other hand, if it is determined that the worker is not good at it (step S103, YES), the information processing apparatus 10 determines the health condition of the worker based on the vital data (step S105). Here, when it is determined that the user is healthy (step S105, No), the information processing apparatus 10 stores the evaluation result indicating "not good at" in the evaluation result storage unit 18 in association with the work content ( step S106).

On the other hand, when it is determined that the worker is unhealthy (step S105, YES), the information processing apparatus 10 stores the evaluation result indicating "poor health" in the evaluation result storage unit 18 in association with the work content ( step S107). In other words, the information processing apparatus 10 replaces the determination result indicating poor health with the determination result indicating poor health, and stores the result in the evaluation result storage unit 18 .

In the skill evaluation process, as shown in FIG. 8, the information processing apparatus 10 reads the evaluation result log from the evaluation result storage unit 18 (step S201), and evaluates the skill while excluding "poor health" (step S202). ), and output the evaluation result (step S203).

As described above, the information processing apparatus 10 according to the first embodiment can indicate that it is "not good at" work in which it cannot perform at its best or normal performance (that is, in poor health) due to accidental circumstances. Replace the evaluation result with "poor health". Therefore, according to the information processing apparatus 10 of the first embodiment, it is possible to correctly evaluate each task.

Further, the information processing apparatus 10 of the first embodiment evaluates the skill of the worker while excluding the evaluation result of "poor health". Therefore, according to the information processing apparatus 10 of the first embodiment, it is possible to correctly evaluate the skill of the worker.

[Embodiment 2]
Various modifications that the present invention can take will be described below as a second embodiment.

In the present invention, the work skill may be evaluated by taking into account the state in which the best or normal performance cannot be exhibited due to an accidental situation or the like. Therefore, for example, as shown in FIG. 9, the health condition may be determined first. In this case, exceeding standard working hours due to poor health will also be evaluated as "poor health."

In addition, it is not always necessary to exclude evaluation results indicating "poor health". For example, count the number of times (the number of logs) of the evaluation result indicating "poor health", and if the number of times (log number) exceeds the threshold, exclude the evaluation result of "poor health" and improve the skill. You can evaluate. Moreover, the skill evaluation may be performed by weighting the evaluation results indicating that the person is in poor health.

The determination threshold used by the good determination unit 12 may be set based on the vital data of a plurality of workers. That is, the stress applied to the worker may differ depending on the work content. For this reason, a threshold with a margin may be set for a task in which a plurality of workers have experienced significant emotional fluctuations in the past. In other words, a different determination threshold may be set for each work content.

Further, the determination threshold value used by the good determination unit 12 may be set to an individual value for each worker. That is, some workers may have a high heart rate even in normal stress-free conditions. Therefore, the determination threshold may be set based on the normal vital data of each worker. Also, a value based on vital data during past work may be set for each worker's determination threshold. In this case, it is preferable to use the vital data when it is determined to be "strong". In other words, by setting vital data based on past judgments of "strength", it is possible to find work that has become "weak" (for example, work that has not been engaged in for many years). .

Determination of a worker's proficiency level and determination of a worker's strengths/weaknesses can be changed in various ways. For example, the determination may be made based on the actual work time as well as the quality of the work actually performed. In addition, determination may be made by monitoring the actual work procedure of the worker (for example, imaging with a camera, input history to a PC (personal computer), etc.).

Some or all of the above embodiments may also be described in the following additional remarks, but are not limited to the following.

(Appendix 1)
An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. a proficiency determination unit that determines that
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. A good judgment unit that judges that
The health condition of the worker is determined based on the vital data of the worker, and when the worker is determined to be in poor health, the result of the determination by the good determination unit that the worker is not good at health A health condition determination unit that replaces the result of determination that it is defective;
an evaluation result creation unit that creates an evaluation result regarding the predetermined work based on the determination results of the proficiency determination unit, the skill determination unit, and the health condition determination unit;
Information processing equipment including.
(Appendix 2)
an evaluation result storage unit that accumulates a log of the evaluation results;
a skill evaluation unit that aggregates the logs accumulated in the evaluation result storage unit while excluding logs indicating poor health and evaluates the skill of the worker;
The information processing apparatus according to appendix 1, further comprising:
(Appendix 3)
The information processing apparatus according to appendix 2, wherein the skill evaluation unit evaluates the skill of the worker while weighting each evaluation result.
(Appendix 4)
3. The information according to any one of Appendices 1 to 3, further comprising an output unit that outputs at least one of the evaluation result created by the evaluation result creation unit and the skill evaluation result by the skill evaluation unit. processing equipment.
(Appendix 5)
An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. A proficiency judgment step for judging that
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. a good judgment step of judging that
The health condition of the worker is determined based on the vital data of the worker, and if it is determined that the worker is in poor health, the result of determination that the worker is not good at the good determination step is A health condition determination step for replacing the determination result of being unsatisfactory;
an evaluation result creation step of creating an evaluation result regarding the predetermined work based on the determination results of the proficiency determination step, the skill determination step, and the health condition determination step;
Information processing method including.
(Appendix 6)
An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. A proficiency determination process for determining
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. a good judgment step of judging that
The health condition of the worker is determined based on the vital data of the worker, and when it is determined that the worker is in poor health, the result of determination that the worker is unskilled by the good determination step is determined to be in good health. A health condition determination step of replacing with a determination result indicating that it is bad;
an evaluation result creation step of creating an evaluation result regarding the predetermined work based on the determination results of the proficiency determination step, the skill determination step, and the health condition determination step;
An information processing program that causes a computer to execute

It should be noted that each disclosure of the cited patent documents and the like is incorporated herein by reference, and can be used as the basis or part of the present invention as necessary. Within the framework of the full disclosure of the present invention (including the scope of claims), modifications and adjustments of the embodiments and examples are possible based on the basic technical concept thereof. Also, various combinations or selections of various disclosure elements (including each element of each claim, each element of each embodiment or example, each element of each drawing, etc.) within the framework of the full disclosure of the present invention (including partial deletion) is possible. That is, the present invention naturally includes various variations and modifications that can be made by those skilled in the art according to the entire disclosure including claims and technical ideas. In particular, any numerical range recited herein should be construed as specifically recited for any numerical value or subrange within that range, even if not otherwise stated. Furthermore, each disclosure item of the above-cited document can be used in combination with the items described in this document as part of the disclosure of the present invention in accordance with the spirit of the present invention, if necessary. are considered to be included in the disclosure of the present application.

10: Information processing device 11: Proficiency determination unit 12: Proficiency determination unit 13: Health condition determination unit 14: Evaluation result creation unit 15: Reception unit 16: Work history DB (database)
17: Data processing unit 18: Evaluation result storage unit 19: Skill evaluation unit 20: Output unit 50: Portable terminal

Claims (6)

An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. a proficiency determination unit that determines that
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. A good judgment unit that judges that
The health condition of the worker is determined based on the vital data of the worker, and when the worker is determined to be in poor health, the result of the determination by the good determination unit that the worker is not good at health A health condition determination unit that replaces the result of determination that it is defective;
an evaluation result creation unit that creates an evaluation result regarding the predetermined work based on the determination results of the proficiency determination unit, the skill determination unit, and the health condition determination unit;
Information processing equipment including. an evaluation result storage unit that accumulates a log of the evaluation results;
a skill evaluation unit that aggregates the logs accumulated in the evaluation result storage unit while excluding logs indicating poor health and evaluates the skill of the worker;
The information processing apparatus according to claim 1, further comprising: 3. The information processing apparatus according to claim 2, wherein said skill evaluation unit evaluates said worker's skill while weighting each evaluation result. 4. The output unit according to any one of claims 1 to 3, further comprising an output unit that outputs at least one of the evaluation result created by the evaluation result creation unit and the skill evaluation result by the skill evaluation unit. Information processing equipment. An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. A proficiency judgment step for judging that
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. a good judgment step of judging that
The health condition of the worker is determined based on the vital data of the worker, and if it is determined that the worker is in poor health, the result of determination that the worker is not good at the good determination step is A health condition determination step for replacing the determination result of being unsatisfactory;
an evaluation result creation step of creating an evaluation result regarding the predetermined work based on the determination results of the proficiency determination step, the skill determination step, and the health condition determination step;
Information processing method including. An actual work time for a predetermined work is compared with a preset standard work time, and if the actual work time does not exceed the standard work time, the worker is proficient in the predetermined work. A proficiency determination step of determining
Monitoring emotional fluctuations of the worker during the predetermined work based on the vital data of the worker, and if no emotional fluctuation is detected, the worker is good at the predetermined work. a good judgment step of judging that
The health condition of the worker is determined based on the vital data of the worker, and when it is determined that the worker is in poor health, the result of determination that the worker is unskilled by the good determination step is determined to be in good health. A health condition determination step of replacing with a determination result indicating that it is bad;
an evaluation result creation step of creating an evaluation result regarding the predetermined work based on the determination results of the proficiency determination step, the skill determination step, and the health condition determination step;
An information processing program that causes a computer to execute

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