JP2019012431A - Labor Management System - Google Patents

Abstract

To provide a labor management system forcing an answer to a question about overtime work schedule and the like.SOLUTION: A labor management system comprises an attending and leaving identification information input acceptance unit accepting an input of attending and leaving identification information on a fact of attending and an intention of leaving from a worker, a worker identification information acquisition unit acquiring worker identification information for identifying the worker in association with the input of the attending and leaving identification information, a question information holding unit holding question information which is information for constituting questions to be given to the worker when attending and/or leaving, a question information output unit outputting the held question information when accepting the input of the attending and leaving identification information from the worker, an answer input acceptance unit accepting an input of answer to the output question information from the worker, a time acquisition unit acquiring time, and a recording unit recording the acquired time, the acquired worker identification information, and the accepted answer to the questions in association with one another only when the answer is input.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a labor management system.

JP, 2008-304978, A (patent documents 1) is mentioned as a time management system which can perform health management in conjunction with employee time management conventionally. In this attendance management system, a reading unit that reads information including an ID and a measurement result from a health care instrument, a reading result storage unit that stores an ID, a measurement result, and a reading time, which are reading results of the reading unit, and a reading result storage Based on the ID and reading time stored in the means, attendance management means for managing attendance, and on the basis of the ID, measurement result and reading time stored in the reading result storage means, health advice information is provided to the individual. Health advice information notifying means for notifying.
Further, as a mental health management system using a weather mark set in accordance with each stage as the mental health state set in a plurality of stages, Japanese Patent No. 55572752 (Patent Document 2) is cited.

JP 2008-304978 A Japanese Patent No. 5572752

  However, in Patent Document 1 or 2, since time management and health management are simply the same in information acquisition timing, it is not possible to regulate the behavior of not entering health management information into the system when going to work. It was. In general, the mental health problem is a delicate problem, and it is difficult to recognize that there is a problem with mental health as a normal human behavior. Even if they recognize themselves, they are reluctant to make this known to others. Therefore, it is difficult to show a negative response to a mental question in front of an attendance management system that passes by colleagues, superiors, subordinates, etc., and there are behaviors that pass through the question.

  The present invention solves the conventional problems, and firstly exerts a compulsory force that has to answer questions about mental health and the like. If you don't answer questions, you won't have to work. Secondly, it is configured so that mental health can be checked even for questions other than questions related to mental health (such as a face answer related learning function).

  In order to solve the above problems, the present invention provides the following labor management system. In other words, as the first invention, to enter the identification information input accepting section that accepts the input of identification information such as going to and leaving from work, when entering or leaving the office, entering and leaving identification information to the effect of leaving, etc. A worker identification information acquisition unit for acquiring worker identification information for identifying a worker in association with the question, and a question for holding question information that is information for constituting a question to be asked at the time of working or / and leaving the worker An information holding unit, a question information output unit for outputting question information held in accordance with reception of the input of the identification information such as the attendance / exit from the worker, and an input of an answer from the worker for the output question information The response input reception unit that receives the time, the time acquisition unit that acquires the time, and the acquired time, worker identification information, and the response received for the question only when there is an input of the response It has a recording unit for recording, (corresponding claim 1)

  In addition to the above features, the question information held by the question information holding unit includes questions about the worker's current mood, questions about the worker's physical condition, questions about the worker's lunch schedule, Questions about their dinner schedules, questions about their employees' plans to go out today, questions about their plans for today's meetings, questions about their plans for today's overtime, questions about their plans for overtime next week Questions, questions about the employee's schedule for overtime this week, questions about the employee's schedule for overtime next month, questions about the employee's schedule for overtime this month, questions about the employee's schedule for working overtime next week, work Questions about the employee's schedule for work this week, questions about the employee's schedule for holiday work next month, questions about the employee's schedule for holiday work this month, questions about the employee's tomorrow's quota, work Questions about the employee's current quota, and the worker's next week's quota Questions, questions about the worker's current quota, questions about the worker's next month's quota, questions about the worker's current month's quota, questions about the worker's health checkup schedule, employees' work-up checkup Questions about the schedule, questions about the employee's schedule for smoking today, questions about the employee's plan to drink today, questions about the employee's plan to eat today, questions about the employee's plan to take paid leave , Questions about the harassment of the worker's workplace, questions about the worker's worries, questions about the worker's desire for the workplace, questions about the worker's plans to participate in the event, Questions about mood predictions, questions about the physical condition of a worker's colleagues, questions about the worker's colleague's schedule for today's lunch, questions about the employee's colleague's schedule for today's dinner, Questions and duties about today's going-out schedule Questions about today's colleagues 'schedule of work, questions about their colleagues' schedule of overtime today, questions about their colleagues 'schedule of overtime next week, questions about their colleagues' schedule of overtime this week , Questions about your work colleagues' next month's work overtime, questions about your work colleagues' upcoming work schedule this month, questions about their work colleagues' next week's holiday work schedule, Questions about holiday work schedules, questions about the work colleagues 'work schedule for next month's holiday, questions about work colleagues' work schedule for this month's holiday work, questions about the work partner's tomorrow's quota , Questions about today ’s quota for a worker ’s colleague, questions about the next week ’s quota for a worker ’s colleague, questions about the week ’s quota for a worker ’s colleague, questions about the worker ’s next month ’s quota, A question about the employee's quota this month, the employee's colleague's health checkup schedule Regular questions, questions about the work schedule of a colleague of a worker, questions about the plan of smoking today for a colleague of a worker, questions about the schedule of drinking today of a colleague of a worker, colleagues of a worker Questions about today's meal schedule, questions about the employee's colleague's plan to take paid leave, questions about whether the employee's colleague has harassment in the workplace, questions about whether the employee's colleague is worried, employee This is question information that constitutes at least one of a question asking whether there is a request for a colleague's workplace or a question asking a colleague of an employee to participate in an event (corresponding to claim 2).

  In addition to the features described above, the question information output unit includes a two-dimensional input unit that allows a worker to input two types of information by one input using a two-dimensional chart centered on different types of information. ).

  In addition to the features, the question information is image selection question information for selecting an image (corresponding to claim 4).

  In addition to the features described above, the information processing apparatus further includes a touch panel display unit including a touch panel display, and the question information output unit and / or the answer input reception unit inputs and outputs via the touch panel display unit (corresponding to claim 5).

  In addition to the features described above, there is a photographing unit capable of photographing a worker's face that accepts input such as going to and leaving, and the relationship between the worker's face image photographed by the photographing unit and the answer to the worker's question A face answer relationship learning unit for learning the face answer relationship, a face answer relationship holding unit for holding the latest learned face answer relationship, and estimating the answer from the face image based on the latest face answer relationship held It further has an estimated response acquisition unit to acquire and an estimated response output unit to output the acquired estimated response (corresponding to claim 6).

  In addition to the above features, a feedback processing rule holding unit that holds a feedback processing rule that is a rule for performing feedback processing according to the estimated answer output from the estimated answer output unit, the acquired estimated answer, a feedback processing rule, And a feedback processing unit for performing feedback processing based on (corresponding to claim 7).

  In addition to the above-mentioned features, a relation worker identification information holding unit that holds and associates worker identification information of a relation worker who becomes a person involved in the work of the worker, and is associated with worker identification information of the relation worker And a related worker answer output unit that collectively outputs answers to the questions (corresponding to claim 8).

  In addition to the above features, an answer-causal relationship learning unit that learns the output of the relationship worker answer output unit and estimates the causal relationship of responses between related workers, and based on the learned cause-and-effect relationship, An attendance / return time estimation unit for estimating an answer when receiving an input of an answer to a question (corresponding to claim 9).

  In addition to the above features, the voice information input / output unit is further provided, and the question information output unit and / or the answer input reception unit inputs / outputs via the voice input / output unit (corresponding to claim 10).

  In addition to the features described above, there is a recording unit capable of recording the voice of a worker who accepts input such as going to and from work, and the relationship between the voice of the worker's voice recorded by the recording unit and the answer to the worker's question Voice response relationship learning unit that learns the voice response relationship, voice response relationship storage unit that holds the latest learned voice response relationship, and the estimation of the answer from the voice of the voice based on the latest stored voice response relationship A voice estimation response acquisition unit to acquire and a voice estimation response output unit to output the acquired voice estimation response are further included (corresponding to claim 11).

  In addition to the above features, a voice feedback processing rule holding unit that holds a voice feedback processing rule that is a rule for performing feedback processing according to the voice estimation answer output from the voice estimation answer output unit, and the acquired voice estimation answer And a voice feedback processing unit that performs voice feedback processing based on the voice feedback processing rule (corresponding to claim 12).

  In addition to the above features, the detector has a detection unit capable of detecting any one or more of exhalation, blood pressure, blood oxygen, body weight, body fat, heart rate, and body temperature of a worker who accepts an input such as attendance, and the detection unit detects Detection result / response relationship learning unit that learns the detection result / response relationship that is the relationship between the worker's detection result and the answer to the worker's question, and the detection result / response relationship holding that holds the latest learned detection result / response relationship A detection result estimation answer acquisition unit that acquires an estimation of the answer from the detection result based on the latest detection result answer relationship held, a detection result estimation answer output unit that outputs the acquired detection result estimation answer, (Corresponding to claim 13).

In addition to the above features, a detection result feedback processing rule holding unit that holds a detection result feedback processing rule that is a rule for performing feedback processing according to the detection result estimated answer output from the detection result estimated answer output unit, and acquired A detection result feedback processing unit that performs detection result feedback processing based on the detection result estimation response and the detection result feedback processing rule (corresponding to claim 14);
The labor management system according to any one of claims 1 to 14, further comprising a question information input unit for inputting question information to the question information holding unit in addition to the above features (corresponding to claim 15).
The labor management system according to any one of claims 1 to 15, further comprising a question information editing unit for editing the stored question information in addition to the features (corresponding to claim 16).
According to a second aspect of the invention, there is provided an operation method of a labor management system having a question information holding unit for holding question information which is information for composing a question to be asked when a worker goes to work and / or leaves the office. The attendance / removal / identification information input acceptance step for accepting the input of identification information indicating that the employee has attended or resigned at the time of attendance / retirement, etc. A worker identification information acquisition step for acquiring identification information, a question information output step for outputting the question information held in accordance with the reception of the input of identification information such as attendance / exit from the worker, and the output question information Answer input reception step that accepts input of answers from workers, time acquisition step to obtain time, and time obtained only when there is an answer input The worker identification information, a recording step of recording in association with answers accepted a question, a method of operating a labor management system with a (corresponding to claim 17).
As a third invention, there is provided an operation program for a labor management system which is a computer having a question information holding unit for holding question information which is information for composing a question to be asked at the time of going to work and / or leaving work. Identifying the worker in association with the input of the identification information input step for entering and leaving, etc., and the identification information input acceptance step for accepting the input of the identification information indicating that the employee has worked at the time of going to work, leaving work, etc. A worker identification information acquisition step for acquiring worker identification information to be performed, a question information output step for outputting question information held in accordance with reception of the input of the identification information such as attendance / exit from the worker, and an output If there is an answer input acceptance step that accepts input of answers from workers for the question information, a time acquisition step that obtains time, and an answer input A labor management system operation program in which the acquired time, the worker identification information, and a recording step for associating and recording the received answer to the question are recorded in the labor management system, which is a computer, so as to be executable. (Corresponding to Claim 18).

  In this way, the forced force that must answer questions about mental health first was used. If you don't answer questions, you won't have to work. Secondly, it is configured so that mental health can be checked even for questions other than questions related to mental health (such as a face answer relation learning function, a voice answer relation learning function, and a detection result answer relation learning function).

Functional block diagram of the labor management system of Embodiment 1 The figure which shows the hardware structural example of the labor management system of Embodiment 1. Process flow chart of labor management system of embodiment 1 The figure which shows the example of the question information in the labor management system of Embodiment 2. Functional block diagram of the labor management system of the third embodiment The figure which shows the example of the two-dimensional chart in the labor management system of Embodiment 3. The figure which shows the hardware structural example of the labor management system of Embodiment 3. Process flowchart of labor management system of embodiment 3 The figure which shows the example of the image selection question information of the labor management system of Embodiment 4. Functional block diagram of the labor management system of the fifth embodiment The figure which shows the hardware structural example of the labor management system of Embodiment 5. Functional block diagram of the labor management system of the sixth embodiment FIG. 10 is a diagram for explaining face-oral relationship learning in the labor management system according to the sixth embodiment. The figure which shows the hardware structural example of the labor management system of Embodiment 6. Process flowchart of labor management system of embodiment 6 Functional block diagram of the labor management system of the seventh embodiment The figure which shows the hardware structural example of the labor management system of Embodiment 7. Process flowchart of labor management system of embodiment 7 Functional block diagram of the labor management system of the eighth embodiment The figure which shows the hardware structural example of the labor management system of Embodiment 8. Process flowchart of labor management system of embodiment 8 The figure which shows the example of the attendance table of the labor management system of Embodiment 3. The figure which shows the example of the attendance table of the labor management system of Embodiment 3. Functional block diagram of the labor management system of the ninth embodiment The figure which shows the hardware structural example of the labor management system of Embodiment 9. Process flowchart of labor management system of embodiment 9 The figure for demonstrating the reply causal relationship learning in the labor management system of Embodiment 9. FIG. 0100 shows an example of question information indicating today's overtime schedule at the time of work in the labor management system of the second embodiment. Labor management system 0101 Time and attendance etc. identification information input unit 0102 Worker identification information acquisition unit 0103 Question information holding unit 0104 Question information Output unit 0105 Answer input reception unit 0106 Time acquisition unit 0107 Recording unit 0201 CPU 0202 Non-volatile memory 0203 Main memory 0204 Interface 0205 Touch input interface 0206 Image input interface 0207 Mouse input interface 0208 Display interface 0209 Network interface 0210 IC card interface 0211 Keyboard input interface

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that the present invention is not limited to these embodiments, and can be implemented in various modes without departing from the spirit of the present invention.

  Note that the functional blocks of the apparatus described below can be realized as a combination of hardware and software. Specifically, if a computer is used, a CPU (Central Processing Unit), a main memory, a system bus, or a secondary storage device (a storage medium such as a hard disk drive, a non-volatile memory, a CD or a DVD, and those media) Hardware components such as an input device used for information input, a display device, and other external peripheral devices such as a tablet PC, a touch input computer, a personal computer, a desktop computer, a notebook computer, Smartphone, touch panel display, hard disk, microphone, speaker, printer and its interface for external peripheral devices, communication interface, touch input interface, image input interface, mouse input interface , Display interface, IC card input interface, keyboard input interface, audio input and output interfaces, they and driver program for controlling the hardware other application programs, and the like for user interface applications. Then, by CPU processing according to the program developed on the main memory, the data input from the input device or other interface and held in the memory or hard disk is processed and stored, An instruction for controlling the software is generated. Alternatively, the functional blocks of this apparatus may be realized by dedicated hardware. Further, the present apparatus is not limited to being configured by a single piece of hardware or software, and may be configured by a combination of a plurality of pieces of hardware or software, or may be configured including a server apparatus via a network.

The present invention can be realized not only as an apparatus but also as a method. A part of the invention can be configured as software. Furthermore, a program used for causing a computer to execute such software and a recording medium on which the program is fixed are naturally included in the technical scope of the present invention (the same applies throughout this specification).
<Embodiment 1>
<Overview>

The first embodiment is a labor management system capable of managing employee health according to question information at the same time as attendance / exit management of a worker (employee) of a company or the like. It is a system that can perform “stress check” that is mandatory for companies with 50 or more employees. The labor management system adopts a simple system realized by a stand-alone device that consists of a single device that the worker inputs, or a configuration that stores the device input by the worker and the input information in the server device. May be. In addition, the labor management system may be a system mounted on a guidance robot, or may be configured such that a voice input can be made to a worker by gestures and hand gestures and natural input can be performed.
Here, the attendance / leaving management includes door entrance / exit management and the like.
<Configuration of Embodiment 1>

As shown in FIG. 1, the labor management system according to the first embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquiring unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer An input reception unit 0105, a time acquisition unit 0106, and a recording unit 0107 are included.
<Description of Configuration of Embodiment 1>
<Embodiment 1 Labor management system>

The labor management system according to the first embodiment includes a tablet PC, a touch input computer, a personal computer, a desktop computer, a notebook computer, a smartphone, various computers connected to a touch panel display, a client server computer system, a cloud computer, and various computers. The terminal can be realized on a network configured via the network.
<Embodiment 1 Identification information input reception part such as attendance / exit>

The “attendance / exit identification information input receiving unit” 0101 accepts input of identification information indicating that the employee has worked at the time of attendance, leaving work, etc., and the attendance / exit identification information indicating that he / she is going to leave. Here, the identification information such as attendance / exit is, for example, the employee's attendance time, the employee's attendance time, and the employee's attendance time information. When a worker goes out and leaves the office, input can be performed by touching an input button of the apparatus or holding an employee card such as an IC card.
<Embodiment 1 Worker identification information acquisition unit>

The “worker identification information acquisition unit” 0102 acquires worker identification information for identifying a worker in association with input of identification information such as attendance / exit. The worker identification information includes an employee number for an employee, a contract employee number for a contract employee, an identification number of a temporary employee for a temporary employee, and the like. To obtain worker identification information, if the number of employees is about several tens, display the selection menu of the worker on the display screen of this system and select their name, or there are many workers In some cases, it can be done from an IC card as an employee ID card. A method of acquiring worker identification information by face authentication using a camera and image processing software is also conceivable. The touch panel of the touch panel display itself is a fingerprint sensor. When a worker's finger touches (touches) the touch panel, the fingerprint information may be read, and the worker identification information may be acquired from the read fingerprint information. .
The above-mentioned attendance / exit identification information input receiving unit 0101 and the worker identification information acquisition unit 0102 are realized in an integrated manner, and by simply holding the IC card employee card, input / output of attendance / exit identification information and acquisition of worker identification information can be performed. You may process integrally.
<Embodiment 1 Question information holding part>

The “question information holding unit” 0103 holds question information, which is information for composing a question to the worker when going to work and / or leaving work. The question information is information as shown in FIG. For example, "How are you?" The question information holding unit 0103 holds such question information.
<Embodiment 1 Question information output unit>

The “question information output unit” 0104 outputs the question information held in accordance with the reception of the input of the identification information such as attendance / exit from the worker. By default, the question information as described above is displayed on the display screen. For people with disabilities who cannot see their eyes, it is possible to use an audio interface such as an AI speaker. A Braille interface or the like may be adopted so as to be identified by Braille.
<Embodiment 1 Answer input reception part>

  The “answer input accepting unit” 0105 accepts an input of an answer from the worker for the output question information. For example, the question information is displayed on the screen, and the answer of the question information is received when the worker goes to work or leaves the office. Various interfaces such as input by selecting a button or holding an employee ID card, taking a picture with a camera, and automatically determining by computer processing can be used. As other interfaces, voice input interfaces and interfaces such as gesture input such as “×”, “◯”, and numbers can also be used.

Furthermore, there are also devices and methods that realize input means that integrates the functions of the identification information input receiving unit 0101, the employee identification information acquiring unit 0008, and the answer input receiving unit, and that processes each information in an integrated manner. Conceivable.
<Embodiment 1 Time acquisition unit>

The “time acquisition unit” 0106 acquires time. A clock is built in the device, and the time is acquired at the time when the worker goes to work, leaves, or goes out. Further, when the labor management system is connected to the Internet via a network interface, the time can also be acquired from the Internet.
<Embodiment 1 recording part>

The “recording unit” 0107 records the acquired time, worker identification information, and the received answer to the question in association with each other only when an answer to the question information is input. The recording unit is generally recorded on a hard disk (HDD) or the like, but may be recorded on another nonvolatile semiconductor memory or the like. A general-purpose printer, a dedicated form printer, or the like may be used. Here, when recording, identification information such as attendance and attendance may be associated.
<Embodiment 1 Operation: Hardware Configuration>

As shown in FIG. 2, the configuration of the computer of the labor management system includes a CPU 0201, a nonvolatile memory 0202 such as an HDD and a ROM, a main memory 0203 such as a D-RAM, and an interface 0204. The non-volatile memory 0202 stores programs such as attendance and attendance identification information input reception program, worker identification information acquisition program, question information holding program, question information output program, answer input reception program, time acquisition program, and recording program. Examples of the data include identification information such as attendance / exit, employee identification information, question information, time, answer, and the like. These programs and data are read into the holding area of the main memory 0203 and executed in the work area. The interface 0204 includes a touch input interface 0205, an image input interface 0206 for inputting a worker's face image, a mouse input interface 0207, a display interface 0208, a network interface 0209, an IC card input interface 0210, and a keyboard input interface 0211. and so on.
<First Embodiment Process Flow>

As shown in FIG. 3, the operation of the computer of such a labor management system is based on the identification information input / exit identification information indicating that the employee has worked at the time of attendance, leaving work, etc. An identification information input acceptance step for accepting input is performed (step 0301).
Next, a worker identification information acquisition step is performed for acquiring worker identification information for identifying a worker in association with the input of identification information such as attendance / leaving / leaving by the worker identification information acquisition program (step 0302).

Next, a question information output step is executed for outputting the question information held in accordance with the reception of the input of the identification information such as attendance / leaving / leaving from the worker by the question information output program (step 0303).
Next, an answer input receiving step for receiving an answer input from the worker for the question information output by the answer input receiving program is executed (step 0304).
Next, a time step for obtaining the time by the time program is executed (step 0305).
Next, only when an answer is input by the recording program, a recording step of recording the acquired time, the worker identification information, and the answer received in response to the question is executed (step 0306). Only when an answer is input, the acquired time, the worker identification information, and the answer received in response to the question are recorded in association with each other, so the mental health check is more compelling.

  The time acquisition step 0305 described above is executed in the order after the answer input reception step 0304, but may be executed after the worker identification information acquisition step 0302.

  In the first embodiment described above, the attendance / exit identification information input reception step 0301, the worker identification information acquisition step 0302, and the answer input acceptance step 0304 are described as individual processing steps. 0301 and the worker identification information acquisition step 0302, the processing integrated with the worker identification information acquisition step 0302 and the response input reception step 0304, the attendance / exit identification information input reception step 0301 and the response input reception step 0304. , And the identification information input reception step 0301 such as attendance / retirement, worker identification information acquisition step 0302, and answer input reception step 0304 may be realized as an integrated processing.

As described above, according to the first embodiment, it is possible to provide a labor management system in which attendance / exit management and health management can be performed in an integrated manner and the mental health check such as stress check is enhanced.
<Embodiment 2>
<Overview>

The second embodiment is a labor management system characterized by the question information held by the question information holding unit based on the first embodiment.
<Configuration of Embodiment 2>

  As shown in FIG. 1, the labor management system according to the second embodiment includes an attendance / exit identification information input reception unit 0101, a worker identification information acquisition unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer An input reception unit 0105, a time acquisition unit 0106, and a recording unit 0107 are included.

Further, the question information held by the question information holding unit 0103 includes a question asking about the worker's mood, a question asking the worker's physical condition, a question asking about the worker's lunch schedule, and the employee's today's dinner. Questions about your schedule, questions about your employer ’s schedule for going out today, questions your employer ’s schedule for today ’s meeting, questions about your employer ’s schedule for overtime today, questions about your employer ’s schedule for overtime today, A question about the employee's schedule for overtime work this week, a question about the employee's schedule for overtime work next month, a question about the employee's schedule for overtime work this month, a question about the employee's schedule for working overtime next week, Questions about the weekly holiday schedule, questions about the employee's next month's holiday schedule, questions about the employee's schedule for this month's holiday visit, questions about the employee's tomorrow's quota, Ask questions about today's quota, ask the worker next week's quota Questions, questions about the worker's quota this week, questions about the worker's next month's quota, questions about the worker's quota this month, questions about the worker's health checkup schedule, and the worker's work-up examination Questions about the schedule, questions about the employee's schedule for smoking today, questions about the employee's plan to drink today, questions about the employee's plan to eat today, questions about the employee's plan to take paid leave , Questions about the harassment of the worker's workplace, questions about the worker's worries, questions about the worker's desire for the workplace, questions about the worker's plans to participate in the event, Questions about mood predictions, questions about the physical condition of a worker's colleagues, questions about the worker's colleague's schedule for today's lunch, questions about the employee's colleague's schedule for today's dinner, Questions and duties that ask about going out today Questions about today ’s meeting of colleagues, questions about today ’s work overtime of a work colleague, questions about work overtime of a work colleague next week, questions about a work colleague ’s work overtime this week, A question about an employee's work overtime next month, a question about an employee's work overtime this month, a question about an employee's work schedule next week, an employee's work schedule this week, Questions about work schedules, questions about work schedules of work colleagues next month, questions about work schedules of work colleagues this month, questions about work colleagues' tomorrow's quotas, work hours Current employee's current quota question, employee's colleague's next week's quota question, employee's colleague's current week's quota question, employee's colleague's next month's quota question, employee Question of current colleague's quota, health checkup of co-worker's colleague Question to ask, question to ask about work schedule of employee's colleague, question to ask employee's schedule for smoking today, question to ask employee's schedule for drinking today, employee's colleague Questions about today's meal schedule, questions about the employee's colleague's plan to take paid leave, questions about whether the employee's colleague has harassment in the workplace, questions about whether the employee's colleague is worried, employee This is question information that constitutes at least one of a question asking whether or not there is a request for a colleague's workplace, and a question asking a worker's colleague to participate in an event. Here, in addition to the workplace, a request for the company is also included in the question asking whether there is a desire for the workplace of the employee or his / her colleague. Further, the demands of employees or their coworkers on the workplace include requests for transfer, human resource shortages, and the like.

“Questions about how employees feel at that time” include “very good mood”, “very good”, “good feeling”, “well good”, “a little broken”, “not very good”, “very good” Can ask questions to choose between "I'm crazy" or "Not good". For these questions, selection items may be selected as appropriate.
Examples of the “question about the physical condition of the worker” include a question for selecting any one of “good spirit”, “good”, “a little tired”, and “very tired”.

“Questions about the employee's lunch schedule today” include “Japanese food (including soba and udon)”, “Chinese food”, “Italian”, “Ramen”, “Curry”, “Yakiniku”, “Sushi” Can ask questions to select either “bread” or “noon”.
“Questions about the employee ’s dinner schedule” include “Japanese food (including soba and udon)”, “Chinese food”, “Italian”, “French”, “Ethnic”, “South America”, “Ramen”, “ "Curry", "Yakiniku", "Sushi", "Breads", "Skewers", "Okonomiyaki", "Teppanyaki", "Non-night", and "With alcohol" or "Without alcohol" Can ask questions that would select a combination.

Examples of the “question asking about the employee's going-out schedule today” include a question for selecting any one of “only going out”, “long time to go out”, “short time to go out”, and “no plan to go out”. Examples of the “question asking about the employee's today's meeting schedule” include a question for selecting “meeting only”, “meeting long time”, “meeting short time”, and “no meeting scheduled”.
As the “question for asking about an employee's today's overtime schedule”, a question for selecting any one of “overtime overtime”, “overtime shorttime”, and “no overtime schedule” can be cited.
“Question about employee's schedule for work on holiday this week” can be a question that selects either “Saturday and Sunday work”, “One day work”, “Long time out”, or “Short time out” .
Examples of the “question that asks the worker's current quota” include a question that allows the user to select any one of “large quota”, “medium quota”, “small quota”, and “no quota”.

Examples of questions that ask employees about their scheduled health check-ups include questions that select one of “None”, “In-house health check-up”, “External health check-up”, “Human dock”, or “Brain dock” it can. Here, as another example of the question, a question may be made to select “Yes” or “No” for “Did you have a medical checkup?”. In addition, a question may be asked to select any one of “this week”, “next week”, “next month”, and “next month” with respect to “when do you want to see you?”.
“Questions about employees' appointments for detailed examinations” are any of “None”, “Endoscopy”, “Blood test”, “Pulmonary function test”, “Cardiac function test”, “Brain function test” Can ask questions to choose. Here, as another example of the question, a question of selecting “Yes” or “No” may be given to “Did you have a close examination?”. In addition, a question may be asked to select any one of “this week”, “next week”, “next month”, and “next month” with respect to “when do you want to see you?”.
As the “question for asking about the employee's smoking schedule today”, a question for selecting one of “none”, “several”, “10”, and “one box” can be cited. Here, as another example of the question, “How many cigarettes do you smoke today?” “Do not smoke”, “Less than 5”, “Less than 10”, “Less than 20”, “ You may ask the question which selects either “20 or more”.
Examples of the “question asking about the employee's schedule for drinking today” include a question for selecting one of “none”, “beer”, “sake”, “wine”, and “shochu”. Here are other examples of questions: “Do you drink alcohol today?” “Do not drink”, “About one beer”, “About two beers”, “More than three beers” You may ask a question to choose either. You may ask questions about wine, sake, shochu, etc. for each type of drink.
“Asking questions about today's meal plan for employees” is one of “None”, “Japanese”, “Chinese”, “French”, “Italian”, “India”, “Vietnam”, “Turkey” Can ask questions to be selected. Here are other examples of questions: “What do you care about today's diet?” “Not particularly”, “Get more vegetables”, “Do not eat too much carbohydrates”, “Take salt” You may ask a question to select (multiple answers are possible) such as “Not too much” or “Do not take too much sweet food”. In addition, a question may be asked to select “no particular”, “moderate”, or “eat as much as you want” in response to “What's your snack schedule today?”.
“Questions about employees' plans to take paid leave” include “None”, “This week”, “Next week”, “This month”, “Next month”, “Next year”, “Goldin week”, “Summer vacation (7 Month-September) ”and“ year-end ”can be selected. Here, as another example of the question, a question may be made to select either “no plan” or “schedule” in response to “What is your plan to acquire paid vacation next week?”. In addition, a question may be asked to select either “no plan” or “scheduled” for “What is your plan to take paid vacation this week?”. Furthermore, a question may be added to select either “no plan” or “scheduled” for “What is your plan to take paid leave next month?” Or “What is your plan to take paid leave this month?”.
Examples of the “question about whether or not a worker has harassment in the workplace” include a question for selecting one of “none”, “sexual harassment”, “power harassment”, “restructuring”, and “smoke”. Here, as another example of the question, “Is there absolutely no harassment in the workplace?” “Never have it”, “Somewhat worried”, “I feel there”, “No comment” You may ask a question to choose.
Examples of the “question asking whether the worker is worried” include a question for selecting one of “none”, “yes”, “consultation request”, and “industrial physician”. Here, as another example of the question, “Is there absolutely no harassment in the workplace?” “Never have it”, “Somewhat worried”, “I feel there”, “No comment” You may ask a question to choose.
“Question about whether a worker has a request for the workplace” is one of “None”, “Change request”, “Human resource shortage request”, “Many overtime”, “Tight work”, “Purchase of equipment” Can ask questions to choose.
As the “question for asking about a worker's event participation schedule”, a question for selecting any one of “participation”, “non-participation”, and “undecided” can be cited.

“Questions about how to predict the mood of a colleague of a worker” include “very good”, “very good”, “good”, “well good”, “somewhat messed up”, “not very good”, “ Can ask questions to choose between "very dying" or "bad". For these questions, selection items may be selected as appropriate.
As the “question about the physical condition prediction of a worker's colleague”, there can be cited a question for selecting any one of “good spirit”, “good”, “a little tired”, and “very tired”.
“A question about the forecast of today ’s lunch for a colleague of a worker” includes “Japanese food (including soba and udon)”, “Chinese food”, “Italian”, “Ramen”, “Curry”, “Yakiniku”, “ A question can be given to select one of “sushi”, “bread”, and “noon”.
“A question about the forecast of today ’s dinner for a colleague of a worker” includes “Japanese food (including soba and udon)”, “Chinese”, “Italian”, “French”, “Ethnic”, “South America”, “Ramen” ”,“ Curry ”,“ Grilled meat ”,“ Sushi ”,“ Bread ”,“ Skewer ”,“ Okonomi-yaki ”,“ Teppanyaki ”,“ Night-off ”,“ With alcohol ”,“ Without alcohol ” Can ask questions to select any combination of

“Asking questions about today's going-out schedule of a colleague of a worker” may include a question that selects one of “Only going out”, “Long time out”, “Short time out”, or “No going out” it can.
As the “question to ask about the meeting schedule of a colleague of a worker today”, a question for selecting “meeting only”, “meeting time”, “meeting time”, or “no meeting schedule” can be cited.
As the “question to ask the employee's colleague's today's overtime schedule”, a question for selecting one of “overtime overtime”, “overtime overtime”, and “no overtime schedule” can be given.
“Asking questions about the work schedule of a worker's colleague this week” is a question that allows you to select one of the following: “Saturday-Sunday work”, “One-day work”, “Long time out”, “Short time out” Can be mentioned.
As the “question to ask about the current quota of a worker's colleague”, a question that selects one of “large quota”, “medium quota”, “small quota”, and “no quota” can be cited.

“Asking questions about the health checkup schedule of a colleague of a worker” gives a question that selects one of “None”, “Internal checkup”, “External checkup”, “Ningen dock”, “Brain dock” be able to. Here, as another example of the question, a question may be made to select “Yes” or “No” for “Did you have a medical checkup?”. In addition, a question may be asked to select any one of “this week”, “next week”, “next month”, and “next month” with respect to “when do you want to see you?”.
“Questions about employees' appointments for detailed examinations” are any of “None”, “Endoscopy”, “Blood test”, “Pulmonary function test”, “Cardiac function test”, “Brain function test” Can ask questions to choose. Here, as another example of the question, a question of selecting “Yes” or “No” may be given to “Did you have a close examination?”. In addition, a question may be asked to select any one of “this week”, “next week”, “next month”, and “next month” with respect to “when do you want to see you?”.
Examples of the “question asking about the smoking schedule of a colleague of a worker today” include a question for selecting one of “none”, “several”, “10”, and “one box”. Here, as another example of the question, “How many cigarettes do you smoke today?” “Do not smoke”, “Less than 5”, “Less than 10”, “Less than 20”, “ You may ask the question which selects either “20 or more”.
As the “question to ask about the schedule of today's drinking by a colleague of a worker”, a question for selecting one of “none”, “beer”, “sake”, “wine”, and “shochu” can be cited. Here are other examples of questions: “Do you drink alcohol today?” “Do not drink”, “About one beer”, “About two beers”, “More than three beers” You may ask a question to choose either. You may ask questions about wine, sake, shochu, etc. for each type of drink.
“A question about the meal schedule of a colleague of a worker” includes “None”, “Japanese”, “Chinese”, “French”, “Italian”, “India”, “Vietnam”, “Turkey” Can ask questions to choose. Here are other examples of questions: “What do you care about today's diet?” “Not particularly”, “Get more vegetables”, “Do not eat too much carbohydrates”, “Take salt” You may ask a question to select (multiple answers are possible) such as “Not too much” or “Do not take too much sweet food”. In addition, a question may be asked to select “no particular”, “moderate”, or “eat as much as you want” in response to “What's your snack schedule today?”.
“Questions about employees' plan to take paid leave” are “None”, “This week”, “Next week”, “This month”, “Next month”, “Next year”, “Goldin week”, “Summer vacation” (July to September) "or" year end "can be selected. Here, as another example of the question, a question may be made to select either “no plan” or “schedule” in response to “What is your plan to acquire paid vacation next week?”. In addition, a question may be asked to select either “no plan” or “scheduled” for “What is your plan to take paid vacation this week?”. Furthermore, a question may be added to select either “no plan” or “scheduled” for “What is your plan to take paid leave next month?” Or “What is your plan to take paid leave this month?”.
Examples of the “question about whether there is harassment in the workplace of a colleague of a worker” can include a question for selecting one of “none”, “sexual harassment”, “power harassment”, “restructuring”, and “smoke”. Here, as another example of the question, “Is there absolutely no harassment in the workplace?” “Never have it”, “Somewhat worried”, “I feel there”, “No comment” You may ask a question to choose.
Examples of the “question asking whether there is a problem with a colleague of a worker” include a question for selecting one of “none”, “yes”, “consultation request”, and “industrial physician”. Here, as another example of the question, “Is there absolutely no harassment in the workplace?” “Never have it”, “Somewhat worried”, “I feel there”, “No comment” You may ask a question to choose.
“Questions about whether there is a request from a colleague of a worker” is “None”, “Change request”, “Human resource shortage request”, “Many overtime work”, “Work tight”, “Equipment purchase request” Can ask questions to choose one.
Examples of the “question asking about the work participation schedule of a colleague of a worker” include a question that allows the user to select any one of “participation”, “non-participation”, and “undecided”.

  These questions may be selected at random for each worker from among the held questions, the same question may not be output continuously during the work hours, and the output order of the questions for each worker It may be configured to have a rule to be determined and output according to the rule.

If the question selected as the “question to ask the worker's mood at that time” is “very good” or “good”, it is determined that there is no mental problem. Determine if there is a mental problem, especially if you select either "Defeated" or "Very Defeated", especially if it is continuous or an unusual answer May be processed.
As a “question about the physical condition of a worker”, it was determined that there was no mental problem if it was “perky” or “good”, “somewhat tired”, “very tired” "
When one of the above is selected, particularly when it is continuous, or when the answer is not normal, processing may be performed so as to determine that there is a mental problem.

“Questions about the employee's lunch schedule today” include “Japanese food (including soba and udon)”, “Chinese food”, “Italian”, “Ramen”, “Curry”, “Yakiniku”, “Sushi” If either “bread” or “noon” is selected in succession, it is evidence that the balance of the meal is not taken care of, and it is determined that there may be a mental problem. Also good. In particular, it may be determined that there is a possibility of a mental problem when “noon” continues.
“Questions about the employee ’s dinner schedule” include “Japanese food (including soba and udon)”, “Chinese”, “Italian”, “French”, “Ethnic”, “South America”, “Ramen”, “ If any of “Curry”, “Yakiniku”, “Sushi”, “Breads”, “Skewers”, “Okonomiyaki”, “Teppanyaki”, “Non-night” is selected continuously, It may be judged that there is a possibility that there is a mental problem because it is evidence that the balance is not taken care of. Further, if “alcohol present” continues, it may be determined that there may be a mental problem. Further, when “alcohol present” to “no alcohol” continue, it may be determined that there is a possibility that there is a mental problem considering that there is some situation that cannot participate in the drinking party.

If you select “Only going out” or “Long time going out” as a “question to ask about the worker's going-out schedule today”, it may be exhausted, which has a negative effect on mental health It may be determined that there is a possibility of giving.
If you select “Meeting only” or “Meeting for a long time” as a “question to ask about the employee ’s meeting schedule today,” the worker may not be doing his or her job. It may be determined that it may have an adverse effect on mental.
If “Overtime Overtime” and “Overtime Overtime” continue as “questions to ask about the overtime schedule of employees today”, it is judged that this may have a negative effect on mental health. May be.

As a “question about employee's schedule for work on holidays this week”, “Saturday and Sunday work”, “One day work”, “Long time out”, or “Short time out” are selected in succession. You may decide that it may have a negative effect on your mental health.
As the “question for asking the worker's current quota”, when “large norma” and “medium of quota” are continuously selected, it may be determined that there is a mental problem.

If the questions selected as “Questions to ask about the scheduled medical checkup of the employee” are “internal medical checkup”, “external medical checkup”, “human health checkup”, or “brain dock”, checkup regularly Therefore, if it is determined that there is no mental problem and “None” is selected, processing may be performed so as to determine that there is a mental problem because a regular medical checkup has not been received.
If “None” is selected among “Questions about the work-scheduled examination of the worker”, it is determined that there is no mental problem, and “endoscopy”, “blood test”, “pulmonary function test”, When either “cardiac function test” or “brain function test” is selected, processing may be performed so as to determine that there is a mental problem.
If “None” or “Several” is selected in “Question about worker's smoking schedule today”, it is determined that there is no mental problem, and either “10” or “One box” May be processed so as to determine that there is a mental problem.
If you select “Beer”, “Sake”, “Wine”, or “Shochu” almost every day in the “Question about the employee's drinking schedule today”, there is a mental problem. You may process so that it may discriminate | determine.
If you select “Chinese”, “French”, or “Italian” from among “Questions about the employee's meal plan today”, it is processed to determine that there is a mental problem. It's okay.

Of the “Questions about employees' plans to take paid leave”, “This week”, “Next week”, “This month”, “Next month”, “Next year”, “Goldin week”, “Summer vacation (July to September ) ”And“ None ”are selected without selecting“ None ”continuously, the worker may not be refreshed, and may be processed to determine that there is a mental problem.
If “None” is selected among “Questions about whether or not employees have harassment in the workplace”, it is determined that there is no mental problem and any of “Sexual harassment”, “Power harassment”, “Restructuring”, or “Smoke” If it is selected, it may be processed so as to determine that there is a problem mentally.
If “None” is selected among “Questions about whether the worker is worried”, it is determined that there is no problem mentally, and “Yes”, “Request for consultation”, or “Occupational physician” is selected. In such a case, processing may be performed so as to determine that there is a problem mentally.
If “None” is selected in “Question about whether there is a request from the worker for the workplace”, select either “Change request”, “Human resource shortage request”, “Overtime overtime”, or “Work tight” In such a case, processing may be performed so as to determine that there is a problem mentally.
If “Participation” is selected in “Question about employee's event participation schedule”, it is determined that there is no mental problem, and if “Non-participation” or “Undecided” is selected, there is a mental problem. You may process so that it may be judged.
The processing for these questions may be an example of another question as described above. For example, in the answer to a question for an overtime schedule, a process for increasing the forcing power of the overtime schedule may be performed.

  These determination processes may have a rule for accumulating answer input and processing the flow of the accumulated answer, and may be determined according to the rule.

  As shown in Fig. 4, for example, "How are you?" (Question about how the worker feels at that time), "How is the mood?" (Question about how the worker feels at that time), "How are you feeling?" (Question about the physical condition of the worker), "What do you want to eat for today's lunch?" (Question about the employee's schedule for today's lunch), "What do you want to eat for dinner today?" (Question about employee's schedule for today's dinner), "do you have a plan to go out today?" (Question about your plan to go out today), "do you have a meeting today?" ”(A question asking about the employee's today's meeting schedule) or the like may be displayed on the display, and the question to be answered may be selected.

As shown in FIG. 28, today's overtime schedule is output from the question information output unit as question information when going to work, and today's overtime schedule is “None”, “Within 30 minutes”, “Within 60 minutes” on the touch panel display etc. , “Within 120 minutes” and “exceeding 120 minutes” are displayed. And the worker may select the today's overtime schedule from the above-mentioned example at the time of going to work so that it can be automatically reported. Various question information at the time of leaving work may be displayed and selected. The answers to these questions at the time of leaving and working may be notified directly to the supervisor (manager) or manager of the worker's workplace. For example, if a subordinate with a lot of overtime chooses a time with overtime as an answer to a question in order to increase compulsory power, a warning message is sent to managers and managers, and information such as ideas and ideas to reduce the overtime of the subordinate May be sent. Mental health measures can be taken in advance by report instead of report after the fact. By introducing overtime schedule questions, the effect of suppressing overtime is obtained.
<Description of Configuration of Second Embodiment>

Since the configuration of the labor management system of the second embodiment is the same as that of the first embodiment, the description thereof is omitted.
<Embodiment 2 Action: Hardware Configuration>

As shown in FIG. 4, the configuration of the computer of the labor management system according to the second embodiment is a more specific list of the contents of the question information, and the basic configuration is the same as the configuration of FIG. Description is omitted.
<Embodiment 2 Action: Process Flow>
Since the operation of the computer of such a labor management system is the same as that of FIG. 3 of the first embodiment, description thereof is omitted.

As described above, according to the second embodiment, in addition to the first embodiment, various types of question information are changed, and the worker's mental health information can be naturally acquired. The mental health information can be used to check employees' stress.
<Embodiment 3>
<Overview>

The third embodiment is a labor management system that has some features based on the first or second embodiment.
<Configuration of Embodiment 3>

As shown in FIG. 5, the labor management system of the second embodiment includes an attendance / exit identification information input receiving unit 0501, a worker identification information acquisition unit 0502, a question information holding unit 0503, a question information output unit 0504, an answer The input reception unit 0505, the time acquisition unit 0506, and the recording unit 0507 are included, and the question information output unit 0504 includes a two-dimensional input unit 0508. Hereinafter, the description of the configuration common to Embodiment 1 or Embodiment 2 will be omitted, and the configuration characteristic of Embodiment 3 will be described.
<Description of Configuration of Third Embodiment>
<Third Embodiment Question Information Output Unit: Two-dimensional Input Unit>

“Two-dimensional input means” 0508 is in the question information output unit 0504, and allows a worker to input two types of information by one input using a two-dimensional chart with different types of information as axes.
As shown in FIG. 6, for example, it is a two-dimensional chart in which physical condition and mood can be input simultaneously when a worker goes to work or leaves. As the two-dimensional input unit 0508, a touch panel display may be used, and in addition to simultaneous input of physical condition and mood, attendance / leaving identification information may be input simultaneously.

As shown in FIG. 22 or FIG. 23, an example in which these attendance managements are summarized is shown. The example of FIG. 22 is a data non-input version, and FIG. 23 shows an example of data input.
<Embodiment 3 Operation: Hardware Configuration>

As shown in FIG. 7, the labor management system includes a CPU 0701, a nonvolatile memory 0702, a main memory 0703, an interface 0704, a touch input interface 0705, an image input interface 0706, a mouse input interface 0707, a display interface 0708, a network interface 0709, an IC A card input interface 0710, a keyboard input interface 0711, and the like are included. A two-dimensional input subprogram is stored in the nonvolatile memory 0702, and a two-dimensional chart is stored as data. This two-dimensional input subprogram and a two-dimensional chart as question information as data are read into the holding area of the main memory 0703 and executed in the work area. The other programs and data are the same as those in FIG.
<Third Embodiment Processing Flow>

As shown in FIG. 8, the operation of the computer of such a labor management system is based on the identification information input / exit identification information indicating that the employee has worked at the time of attendance, leaving work, etc. An identification information input acceptance step for accepting input is performed (step 0801).
Next, a worker identification information acquisition step of acquiring worker identification information for identifying a worker in association with the input of identification information such as attendance / leaving / leaving by the worker identification information acquisition program is executed (step 0802).

Next, a question information output step is executed for outputting the question information held in accordance with the reception of the input of the identification information such as attendance / leaving / leaving from the worker by the question information output program (step 0803). In the question information output step 0803, a two-dimensional input sub-step is executed in which a worker inputs two types of information by one input using a two-dimensional chart centered on different types of information by a two-dimensional input subprogram ( Step 0804).
Next, an answer input receiving step for receiving an answer input from the worker for the question information output by the answer input receiving program is executed (step 0805).

Next, a time step for acquiring time by the time program is executed (step 0806).
Next, only when an answer is input by the recording program, a recording step for recording the acquired time, the worker identification information, and the answer received in response to the question is executed (step 0807).
The above processing is repeated until it is finished (step 0808).

  The time acquisition step 0805 described above is executed in the order after the answer input reception step 0804, but may be executed after the worker identification information acquisition step 0802.

Thus, according to the third embodiment, in addition to the first or second embodiment, by using a two-dimensional chart as question information, two mental health information such as physical condition and mood can be acquired. The input work is simplified, and more mental health information can be acquired for corporate users, so that the health management of employees is simplified.
<Embodiment 4>
<Overview>

The fourth embodiment is a labor management system based on the first to third embodiments, wherein the question information is characterized by image selection question information for selecting an image.
<Configuration of Embodiment 4>

  As shown in FIG. 1, the labor management system of the fourth embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquisition unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer The system includes an input reception unit 0105, a time acquisition unit 0106, and a recording unit 0107, and the question information is image selection question information for selecting an image. Hereinafter, the description of the configuration common to the first to third embodiments will be omitted, and the configuration characteristic to the fourth embodiment will be described.

As shown in FIG. 9 (A), for example, when an activity meter button is pressed, the top image “good”, the middle image “normal”, the bottom image “not good”, etc. when going to work or leaving work. Showing the mood.
Here, the activity meter has a function such as a pedometer for the health management of the worker, and acts as a worker identification information acquisition unit 0102. This makes it possible to visualize the work records, activities, and moods of workers, and to grasp the status of more active workers.
In the labor management system of the fourth embodiment, as shown in FIG. 9B, the above-described mood is recorded as a normal work record, activity amount, and mood in a healthy attendance book. In the example of Fig. 9 (B), the attendance record is created for each worker as "date", "attendance hours", "offtime", "working hours", "overtime hours", "activity", and "mood". Is done. The example of the attendance record shows an example of mood as question information at the time of going to work and leaving work, but image selection question information can be used for the question information as described in the second embodiment. Not only the example of FIG. 9B but various information can be acquired.
<Description of Configuration of Fourth Embodiment>

Since the configuration of the labor management system according to the fourth embodiment is the same as the configuration according to the first embodiment, description thereof is omitted.
<Embodiment 4 Operation: Hardware Configuration>

As shown in FIG. 9, the configuration of the computer of the labor management system according to the fourth embodiment is such that the content of the question information is image selection question information, and the basic configuration is the same as the configuration of FIG. To do.
<Embodiment 4 Action: Process Flow>
Since the operation of the computer of such a labor management system is the same as that of FIG. 3 of the first embodiment, description thereof is omitted.

Thus, according to the fourth embodiment, in addition to the first to third embodiments, the mental health information of the worker can be acquired more naturally by using various pieces of question information as image selection question information. The mental health information can be used to check employees' stress.
<Embodiment 5>
<Overview>

The fifth embodiment is a labor management system characterized in that, based on the first to fourth embodiments, the question information output unit and / or the answer input reception unit inputs and outputs via the touch panel display unit.
<Embodiment 5 configuration>

As illustrated in FIG. 10, the labor management system 1000 according to the fifth embodiment includes an attendance / exit identification information input reception unit 1001, a worker identification information acquisition unit 1002, a question information holding unit 1003, a question information output unit 1004, The answer input reception unit 1005, the time acquisition unit 1006, and the recording unit 1007, and further includes a touch panel display unit including a touch panel display. The question information output unit 1004 and / or the answer input reception unit 1005 is a touch panel display unit. This is a system that inputs and outputs via 1008. Hereinafter, the description of the configuration common to the first to fourth embodiments will be omitted, and the configuration characteristic to the fifth embodiment will be described.
<Description of Configuration of Embodiment 5>
<Embodiment 5 Touch Panel Display Unit>

The “touch panel display unit” 1008 includes a touch panel display, accepts an answer input, and passes the answer to the answer input accepting unit 1005. The touch panel display unit 1008 receives the question information from the question information output unit 1004 and displays it on the touch panel display.
<Embodiment 5 Question information output unit>
The “question information output unit” 1004 performs output via the touch panel display unit 1008.
<Embodiment 5 Answer input reception part>
The “answer input receiving unit” 1005 performs input via the touch panel display unit 1008.
<Embodiment 5 Operation: Hardware Configuration>

As shown in FIG. 11, the configuration of the computer of the labor management system of the fifth embodiment includes a CPU 1101, a nonvolatile memory 1102, a main memory 1103, an interface 1104, a touch input interface 1105, a touch panel display 1106, an image input interface 1106, and a mouse input. An interface 1107, a display interface 1108, a network interface 1109, an IC card input interface 1110, a keyboard input interface 1111, and the like. The touch panel display input / output program is stored in the non-volatile memory 1102, and the same data as described above is stored as data. The touch panel display input / output program and data are read into the holding area of the main memory 1103 and executed in the work area. The other programs and data are the same as those in FIG.
<Fifth Embodiment Processing Flow>

  The question information output step 0303 and answer input reception step 0304 in the processing flowchart shown in FIG. 3 are executed by the touch panel display input / output program, and the input of the question information from the question information output unit 1004 or the answer to the answer input reception unit 1005 is received. This is performed via the touch panel display unit 1008. Other processes are the same as the process steps 0301, 0302, 0305, 0306, and 0307 in FIG.

As described above, according to the fifth embodiment, in addition to the first to fourth embodiments, by inputting the answer and outputting the question information via the touch panel display unit, the input work is simplified for the worker. As a result, more mental health information can be obtained for the employer of the company, so that the health management of the employees becomes easier.
<Embodiment 6>
<Overview>

The sixth embodiment is a labor management system characterized in that, based on the fifth embodiment, the face of the worker is photographed by the photographing unit and the face / answer relation learning is performed.
<Configuration of Embodiment 6>

As shown in FIG. 12, the labor management system 1200 according to the sixth embodiment includes an attendance / exit identification information input receiving unit 1201, a worker identification information acquisition unit 1202, a question information holding unit 1203, a question information output unit 1204, An answer input receiving unit 1205, a time acquisition unit 1206, a recording unit 1207, a touch panel display unit 1208, and a photographing unit 1209, a face answer relationship learning unit 1210, a face answer relationship holding unit 1211, and an estimated answer The system further includes an acquisition unit 1212 and an estimated answer output unit 1213, and the question information output unit 1204 and / or the answer input reception unit 1205 performs input / output via the touch panel display unit 1208. Hereinafter, the description of the configuration common to the fifth embodiment will be omitted, and the configuration characteristic of the sixth embodiment will be described.
<Description of Configuration of Embodiment 6>
<Sixth Embodiment Shooting Unit>

The “photographing unit” 1209 can photograph the face of a worker who accepts input such as going to and from work. With a type in which artificial intelligence is installed in the photographing unit, it is possible to perform automatic discrimination of workers.
<Sixth Embodiment Face Response Relation Learning Section>

The “face answer relationship learning unit” 1210 learns a face answer relationship that is a relationship between an image of a worker's face photographed by the photographing unit and an answer to the worker's question. As shown in FIG. 13 (B), the face answer relationship learns the relationship between the photographed worker's face image and the answer to the worker's question. A relationship like that.
<Sixth Embodiment Face Response Relationship Holding Unit>

The “face answer relationship holding unit” 1211 holds the latest learned face answer relationship. In other words, it is assumed that the face response relationship as shown in FIG. 13B is held as the latest learned face response relationship.
The estimated answer acquisition unit 1212 at that time will be described.
<Embodiment 6 Estimated Answer Acquisition Unit>

The “estimated answer obtaining unit” 1212 obtains an answer estimate from the face image based on the latest face answer relationship held. For example, when the question information for the worker is “What is lunch today?”, The answer to the question is “Chinese”. The face image photographed at that time was a face image as shown in the upper diagram of FIG. The face / answer relation holding unit 1211 holds the latest learned face / answer relation, that is, the face / answer relation that the person is not feeling well in the face image as shown in FIG. Then, the estimated answer acquisition unit 1212 estimates the answer that the worker is not feeling well as shown in the lower diagram of FIG. 13A from the face image based on the face-answer relationship of FIG. 13B. To get. Also, in the case where there are many face images when lunch is planned for Chinese, it is estimated that even if the face image does not seem so bad, the selected lunch is Chinese. You may comprise. By comprising in this way, it becomes possible to estimate an employee's mood using another question, without knowing the mood of a subordinate in the vicinity.
<Embodiment 6 Estimated answer output unit>

The “estimated answer output unit” 1213 outputs the acquired estimated answer. The estimated answer output unit 1213 can output the estimated answer as described above, accumulate it in the management server, and notify the manager and supervisor of the worker.
<Embodiment 6 Operation: Hardware Configuration>

As shown in FIG. 14, the configuration of the computer of the labor management system according to the sixth embodiment includes a CPU 1401, a nonvolatile memory 1402, a main memory 1403, an interface 1404, a touch input interface 1405, a touch panel display 1406, an image input interface 1406, a mouse input. An interface 1407, a display interface 1408, a network interface 1409, an IC card input interface 1410, a keyboard input interface 1411, and the like. The non-volatile memory 1402 stores a shooting program, a face answer relation learning program, a face answer relation holding program, an estimated answer acquisition program, and an estimated answer output program, and stores face images, face answer relations, and estimated answers as data. Yes. These programs and data are read into the holding area of the main memory 1403 and executed in the work area.
The other programs and data are the same as those in FIG.
<Sixth Embodiment Process Flow>

  As shown in FIG. 15 (A), the operation of the computer of such a labor management system is based on the attendance / employment etc. identification information input reception program, indicating that the worker has worked at the time of work, at the time of work leave, etc. An identification information input receiving step for receiving and entering identification information is executed (step 1501).

Next, a photographing step for photographing the face of a worker who accepts an input such as going to and leaving from the photographing program is executed (step 1502).
Next, a worker identification information acquisition step of acquiring worker identification information for identifying a worker in association with the input of identification information such as time and attendance by the worker identification information acquisition program is executed (step 1503).

Next, a question information output step is executed for outputting the question information held in accordance with the reception of the input of the identification information such as attendance / exit from the worker by the question information output program (step 1504).
Next, an answer input receiving step for receiving an answer input from the worker for the question information output by the answer input receiving program is executed (step 1505).
Next, a face answer relationship learning step is performed for learning a face answer relationship that is a relationship between the worker's face image captured by the photographing unit using the face answer relationship learning program and the answer to the worker's question (step 1506). ).

Next, a time step for obtaining the time by the time program is executed (step 1507).
Next, only when the answer is input by the recording program, a recording step is executed to record the acquired time, the worker identification information, the identification information such as time and attendance, and the answer received in response to the question. (Step 1508).

  The above processing is repeated until it is finished (step 1509).

Although the time acquisition step 1507 described above is executed in the order after the answer input reception step 1505, it may be executed after the worker identification information acquisition step 1503.
<Sixth Embodiment Process Flow: Obtaining Estimated Answer>

As shown in FIG. 15 (B), when there is a designated answer acquisition in the estimated answer acquisition determination step 1511, the worker identification information acquisition program next identifies the worker in association with the input of identification information such as attendance / exit A worker identification information acquisition step of acquiring worker identification information is executed (step 1512).
Next, a face image acquisition step is executed by the photographing program (step 1513).
Next, an estimated answer acquisition step of acquiring an estimate of the answer from the face image based on the latest face answer relationship held in the face answer relationship holding unit by the estimated answer acquisition program is executed (step 1514).
Next, an estimated answer output step for outputting the estimated answer acquired by the estimated answer output program is executed (step 1515).
The above processing is repeated until the above processing is completed (step 1516).
<Embodiment 7>
<Overview>

The seventh embodiment is a labor management system characterized in that, based on the sixth embodiment, feedback processing of an estimation result based on face / answer relation learning is performed.
<Embodiment 7 configuration>

As illustrated in FIG. 16, the labor management system 1600 according to the seventh embodiment includes an attendance / exit identification information input reception unit 1601, a worker identification information acquisition unit 1602, a question information holding unit 1603, a question information output unit 1604, An answer input receiving unit 1605, a time acquisition unit 1606, a recording unit 1607, a touch panel display unit 1608, and a photographing unit 1609, a face answer relationship learning unit 1610, a face answer relationship holding unit 1611, and an estimated answer The acquisition unit 1612, the estimated answer output unit 1613, the feedback processing rule holding unit 1614, and the feedback processing unit 1615 are further included, and the question information output unit 1604 and / or the answer input reception unit 1605 includes the touch panel display unit 1608. It is a system that inputs and outputs via Hereinafter, the description of the configuration common to the sixth embodiment will be omitted, and the characteristic configuration of the seventh embodiment will be described.
<Description of Configuration of Embodiment 7>
<Seventh Embodiment Feedback Processing Rule Holding Unit>

The “feedback processing rule holding unit” 1614 holds a feedback processing rule that is a rule for performing feedback processing in accordance with the estimated answer output from the estimated answer output unit 1613. Here, the feedback process is, for example, an automatic overtime regulation process for a labor management computer (a warning is automatically sent to the boss if the employee does not return home), a paid acquisition instruction process for the computer, a break time extension process, a hospital visit A recommendation process, an interview setting process with a supervisor, an interview setting process with a subordinate, an interview setting process with a colleague, a point granting process usable for entertainment, a meal ticket issuing process, and the like are conceivable. The feedback processing rule holding unit 1614 holds a rule for performing such feedback processing according to the estimated answer.
<Seventh Embodiment Feedback Processing Unit>

The “feedback processing unit” 1615 performs feedback processing based on the acquired estimated answer and the feedback processing rule. For example, if the labor management computer replied that the worker's current overtime of the month exceeded the prescribed time and estimated that considerable fatigue had accumulated, a warning is automatically sent to the supervisor if the worker does not return home. An automatic overtime regulation process such as
<Embodiment 7 Action: Hardware Configuration>

As shown in FIG. 17, the computer configuration of the labor management system according to the seventh embodiment includes a CPU 1701, a nonvolatile memory 1702, a main memory 1703, an interface 1704, a touch input interface 1705, a touch panel display 1706, an image input interface 1706, and a mouse input. An interface 1707, a display interface 1708, a network interface 1709, an IC card input interface 1710, a keyboard input interface 1711, and the like. The nonvolatile memory 1702 stores a feedback processing rule holding program and a feedback processing program, and stores a feedback processing rule as data. These programs and data are read into the holding area of the main memory 1703 and executed in the work area.
The other programs and data are the same as those in FIG.
<Seventh Embodiment Processing Flow>

Since the processing flow in FIG. 18A is the same as that in FIG. 15A of the sixth embodiment, description thereof is omitted.
Further, as shown in FIG. 18B, a feedback processing step 1816 is added after the estimated answer output step 1815, and the other processing steps are the same as the processing steps of the sixth embodiment, and thus description thereof is omitted. To do. Since the feedback process has been described above, a description thereof will be omitted.
<Embodiment 8
<Overview>

The eighth embodiment is characterized in that, based on any one of the first to seventh embodiments, a related worker such as a colleague or a boss and a worker are associated with each other and the answers to the questions are collectively output. System.
<Eighth Embodiment Configuration>

As shown in FIG. 19, the labor management system according to the eighth embodiment includes an attendance / exit identification information input receiving unit 1901, a worker identification information acquisition unit 1902, a question information holding unit 1903, a question information output unit 1904, an answer It has an input reception unit 1905, a time acquisition unit 1906, and a recording unit 1907, and further includes a related worker identification information holding unit 1908 and a related worker answer output unit 1909. Hereinafter, the description of the configuration common to the first to seventh embodiments will be omitted, and the configuration characteristic to the eighth embodiment will be described.
<Description of Configuration of Embodiment 8>
<Eighth Embodiment Related Worker Identification Information Holding Unit>

The “related worker identification information holding unit” 1908 holds the worker identification information of the related worker who is a related person in the duty of the worker in association with each other. Here, the related worker means a colleague or a supervisor of a department (section, department, group, etc.) to which the worker belongs. Therefore, the worker identification information is held by grouping so that the relational information (superior, colleague) between the related worker and the worker can be organized. If it is a large organization, it is categorized at the level of company, headquarters, department, section, etc., and the company head is hierarchized as the whole company, the head of the headquarters is the whole headquarters, the head of the department is the whole department, the section manager is the whole section . For example, if it is a general manager, information is held so that all employees (members) of the department can manage their labor. Apart from this, if it is an expert who can view the working environment of the workers of the entire company, the working status and mental health information of the entire workers can be viewed. For small and medium-sized companies, a data storage format that allows the president to see all employees is acceptable.
<Embodiment 8 Related worker answer output unit>

  The “related worker answer output unit” 1909 collectively outputs answers to the questions associated with the worker identification information of the related workers. An answer to the question associated with the worker identification information of the related worker (boss, colleague, etc.) and the worker identification information of the worker is recorded in the recording unit, and the related worker answer output unit 1909 Answers to questions associated with worker identification information of related workers can be collectively output.

Thereby, systematic correspondence between attendance management and mental health check can be achieved. In other words, it is possible to visualize departments that are overworked, and departments that have deteriorated human relations and communication, contributing to the implementation of appropriate measures and watching.
<Eighth Embodiment Operation: Hardware Configuration>

As shown in FIG. 20, the labor management system includes a CPU 2001, a nonvolatile memory 2002, a main memory 2003, an interface 2004, a touch input interface 2005, an image input interface 2006, a mouse input interface 2007, a display interface 2008, a network interface 2009, an IC. A card input interface 2010, a keyboard input interface 2011, and the like are included. The non-volatile memory 2002 stores a related worker identification information holding program and a related worker answer output program, and the related worker (information) is stored as data. The related workers (information) as these programs and data are read into the holding area of the main memory 2003 and executed in the work area. The other programs and data are the same as those in FIG. Since the related workers (information) have been described above, they are omitted here.
<Eighth Embodiment Processing Flow>

As shown in FIG. 21, the operation of the computer of such a labor management system is performed by the identification information input / exit identification information indicating that the employee has been working at the time of working, leaving work, etc. An identification information input acceptance step for accepting input is performed (step 2101).
Next, a worker identification information acquisition step of acquiring worker identification information for identifying the worker in association with the input of identification information such as attendance / leaving / leaving by the worker identification information acquisition program is executed (step 2102).

Next, a question information output step is executed for outputting the question information held in accordance with the reception of the input of the identification information such as attendance / exit from the worker by the question information output program (step 2103).
Next, an answer input receiving step for receiving an answer input from the worker for the question information output by the answer input receiving program is executed (step 2104).
Next, a time step for obtaining the time by the time program is executed (step 2105).

Next, a related worker answer output step is executed in which the answers to the questions associated with the worker identification information of the related worker are collectively output by the related worker answer output program (step 2106). Since the related workers have been described above, a description thereof will be omitted.
Next, only when an answer is input by the recording program, a recording step of recording the acquired time, the worker identification information, and the answer received in response to the question is executed (step 2107). Here, identification information such as attendance and attendance may be associated.
The above processing is repeated until the processing is completed (step 2108).

  The time acquisition step 2106 described above is executed in the order after the answer input reception step 2104, but may be executed after the worker identification information acquisition step 2102.

As described above, according to the eighth embodiment, in addition to the first to seventh embodiments, the related worker identification information related to the worker is also recorded in association with each other. Since mental health information including bosses can be obtained, organizational health management of employees is easy for corporate users.
<Ninth Embodiment>
<Overview>

In the ninth embodiment, on the basis of the eighth embodiment, the cause-and-effect relationship between related workers such as co-workers and supervisors is learned, and the input of answers to future questions is accepted from the answers at the time of leaving work based on the learned cause-and-effect relationships. It is a labor management system characterized by estimating the answer at the time.
<Ninth Embodiment Configuration>

As shown in FIG. 24, the labor management system according to the ninth embodiment includes an attendance / exit identification information input receiving unit 2401, a worker identification information acquisition unit 2402, a question information holding unit 2403, a question information output unit 2404, an answer, and the like. It has an input reception unit 2405, a time acquisition unit 2406, and a recording unit 2407, and further includes a related worker identification information holding unit 2408, a related worker answer output unit 2409, an answer causal relationship learning unit 2410, An answer estimation unit 2411. Hereinafter, the description of the configuration common to the eighth embodiment will be omitted, and the configuration characteristic of the ninth embodiment will be described.
<Description of Configuration of Ninth Embodiment>
<Embodiment 9 Answer-causality learning unit>

The “answer-causal relationship learning unit” 2410 learns the output of the related worker answer output unit 2409 and estimates the causal relationship of responses between related workers. Here, answer-causal relationship learning will be described. In the eighth embodiment, it is assumed that a causal relationship of answers between related workers is obtained. For example, as shown in FIG. 27, consider an example of the causal relationship between the boss A and the subordinate B. As a result of learning about the causal relationship of answers between related workers, when attending work, supervisor A has a causal relationship learning rule that when face image is smiling (feeling good), subordinate B is also smiling (feeling good). It was. In such a case, when the face image of the boss A today is a smiley mark (feels good), it is estimated that the face image of the subordinate B at the time of work today is likely to be a smiley mark (good feeling).
<Embodiment 9 Attendance at the time of leaving work>

The “time and attendance answer estimation unit” 2411 estimates an answer when accepting an input of an answer to a future question from the answer at the time of attendance and leaving based on the learned causal relationship. At the time of going to and from work, using the results of learning about the causal relationship between the related workers as described above, even if the subordinate B's question and answer when going to work as shown in FIG. Can be estimated. This estimation result is output as an estimated answer from the answer / time answer estimation unit 2411 and can be used for stress checks such as employee health management and mental health check. It is also possible to estimate the mental health status of future related workers in the same way as estimating the answer. In the present invention, the estimation of the mental health status is also included in the estimation of the answer.
<Embodiment 9 Action: Hardware Configuration>

As shown in FIG. 25, the labor management system includes a CPU 2501, a nonvolatile memory 2502, a main memory 2503, an interface 2504, a touch input interface 2505, an image input interface 2506, a mouse input interface 2507, a display interface 2508, a network interface 2509, an IC. A card input interface 2510, a keyboard input interface 2511, and the like are included. The non-volatile memory 2502 stores an answer-causal relationship learning program and an attendance / exit answer estimation program, and stores answer-causal relationships and answer estimation as data. These programs and data are read into the holding area of the main memory 2503 and executed in the work area. The other programs and data are the same as those in FIG.
<Ninth Embodiment Processing Flow>

  As shown in FIG. 26, the operation of the computer of such a labor management system executes an attendance / exit identification information input acceptance step by an attendance / exit identification information input acceptance program (step 2601). Next, a worker identification information acquisition step is executed by the worker identification information acquisition program (step 2602).

Next, a question information output step is executed by the question information output program (step 2603). Next, an answer input receiving step is executed by the answer input receiving program (step 2604).
Next, a time step is executed by the time program (step 2605).

Next, a related worker answer output step is executed by the related worker answer output program (step 2606).
Next, an answer-causal relationship learning step of learning the output of the related worker answer output unit 2409 by the answer-causal relationship learning program and estimating the causal relationship of responses between related workers is executed (step 2607).
Next, based on the causal relationship learned by the attendance / exit answer estimation program, an attendance / exit answer estimation step for estimating an answer when accepting an input of an answer to a future question from an attendance / attendance answer is executed (step 2608).
Next, only when an answer is input by the recording program, a recording step of recording the acquired time, the worker identification information, and the answer received in response to the question is executed (step 2609). Here, identification information such as attendance and attendance may be associated.
The above processing is repeated until the processing is finished (step 2610).

  The time acquisition step 2606 described above is executed after the answer input reception step 2604, but may be executed after the worker identification information acquisition step 2602.

According to the ninth embodiment, in addition to the eighth embodiment, it is possible to estimate the answer when accepting the input of the answer to the future question by learning the causal relationship of the answer between the related workers, so that the worker can be more A labor management system that responds appropriately can be realized.
<Embodiment 10>
<Overview>

The tenth embodiment is a labor management system characterized in that, based on the first to fourth embodiments, the question information output unit and / or the answer input reception unit inputs and outputs via the voice input / output unit.
<Embodiment 10 configuration>

As shown in FIG. 1, the labor management system of the tenth embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquisition unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer It has an input reception unit 0105, a time acquisition unit 0106, and a recording unit 0107, further includes a voice input / output unit, and the question information output unit 0104 and / or the answer input reception unit 0105 includes a voice input / output unit (not shown). It is a system that inputs and outputs via Hereinafter, the description of the configuration common to the first to fourth embodiments will be omitted, and the configuration characteristic to the tenth embodiment will be described.
<Description of Configuration of Embodiment 10>
<Embodiment 10 voice input / output unit>

The “voice input / output unit” includes a microphone, accepts an answer input, and passes the answer to the answer input accepting unit 0105. The voice input / output unit receives the question information from the question information output unit 0104 and outputs the voice of the question information to the worker through the speaker.
<Tenth Embodiment Question Information Output Unit>
The “question information output unit” 0104 outputs via a voice input / output unit (not shown). The hardware configuration of the computer according to the tenth embodiment includes a voice input / output interface in addition to the hardware configuration according to the first embodiment, and is connected to a microphone and a speaker. The question information output from the question information output unit is voice-converted by a voice input / output program in a voice input / output unit and output as a voice message from a speaker.
<Embodiment 10 Answer input reception part>
The “answer input receiving unit” 0105 performs input via a voice input / output unit (not shown). A voice answer from the worker is input from a microphone connected to the voice input / output unit, and the voice input / output unit performs analog-digital conversion by a voice input / output program, and passes the answer to the answer input receiving unit 0105. The digitized voice information is converted into text and recorded in the recording unit 0107.
<Tenth Embodiment Processing Flow>

  The question information output step 0303 and the answer input reception step 0304 in the processing flowchart shown in FIG. 3 are executed by the voice input / output program, and the voice information is input to the question information output from the question information output unit 0104 or the answer input reception unit 0105. This is done via the input / output unit (labor saving). Other processes are the same as the process steps 0301, 0302, 0305, 0306, and 0307 in FIG.

As described above, according to the tenth embodiment, in addition to the first to fourth embodiments, by inputting an answer or outputting question information via the voice input / output unit, an input operation is performed for a worker with a disability. This makes it easier for employees of the company to obtain more mental health information, which makes it easier for employees to manage their health.
<Embodiment 11>
<Overview>

The eleventh embodiment is a labor management system characterized in that, based on the tenth embodiment, a voice of a worker is recorded by a recording unit and a voice answer relation learning is performed.
<Embodiment 11 Configuration>

As shown in FIG. 1, the labor management system according to the eleventh embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquiring unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer It has an input receiving unit 0105, a time acquisition unit 0106, a recording unit 0107, and a voice input / output unit, a voice response relationship learning unit, a voice response relationship holding unit, an estimated answer acquisition unit, and an estimated answer output The question information output unit 0104 and / or the answer input reception unit 0105 is a system that inputs and outputs via a voice input / output unit (not shown). Hereinafter, the description of the configuration common to the tenth embodiment will be omitted, and the configuration characteristic to the eleventh embodiment will be described.
<Description of Configuration of Eleventh Embodiment>
<Embodiment 11 recording unit>

The “recording unit” can record the voice of a worker who accepts input such as going to and from work. In a type in which this recording unit is equipped with artificial intelligence, automatic identification by the voice of a worker can be performed. When automatic identification is performed, the voice information is converted into employee identification information and stored. An AI speaker equipped with artificial intelligence may be used.
<Embodiment 11 Voice Reply Relation Learning Section>

The “voice response relationship learning unit” learns a voice response relationship that is a relationship between the voice of the worker's voice recorded by the recording unit and the answer to the worker's question. Voice response relationship is, for example, learning the relationship between the voice of the recorded worker's voice and the answer to the worker's question, and feels bad depending on the voice frequency pattern obtained by frequency analysis (spectrum analyzing) A relationship that is judged as
<Embodiment 11 Voice Reply Relationship Holding Unit>

The “voice answer relationship holding unit” holds the latest learned voice answer relationship. For example, depending on the audio frequency pattern, it may be “feeling good” (clear sounding frequency pattern), “normal” (single tone audio frequency pattern without inflection), “not feeling” (sunk sound) It is assumed that a voice response relationship such as frequency pattern) is stored as the latest voice response relationship learned. The voice estimation answer acquisition unit at that time will be described.
<Embodiment 11 Voice estimation answer acquisition part>

The “voice estimate answer acquisition unit” acquires an estimate of the answer from the voice of the voice based on the latest voice answer relationship held. For example, when the question information for the worker is “How do you feel?”, The answer to the question is “I feel good”. If the sound at that time is a sound frequency pattern that sinks, even if the answer is “feeling good”, an estimated answer indicating that the sound is not good is obtained from the sound frequency pattern.
<Embodiment 11 Voice Estimation Answer Output Unit>

  The “voice estimated answer output unit” outputs the acquired estimated answer. The voice estimation answer output unit can output the voice estimation answer as described above, accumulate it in the management server, and notify the manager and supervisor of the worker.

As described above, according to the eleventh embodiment, in addition to the first to fourth embodiments, the voice answer relation learning can be performed instead of the face answer relation learning described above, so that mental health information can be acquired from the worker's voice. It becomes like this. In the eleventh embodiment, the voice answer relation learning is described. However, the voice answer relation learning may be performed in addition to the face answer relation learning in the sixth embodiment.
<Twelfth embodiment>
<Overview>

The twelfth embodiment is a labor management system characterized by performing feedback processing of estimation results based on voice answer relation learning based on the eleventh embodiment.
<Embodiment 12 configuration>

As shown in FIG. 1, the labor management system according to the twelfth embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquiring unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer An input reception unit 0105; a time acquisition unit 0106; a recording unit 0107; a voice input / output unit; a recording unit; a voice response relationship learning unit; a voice response relationship holding unit; , A voice estimation response output unit, a voice feedback processing rule holding unit, and a voice feedback processing unit, and the question information output unit 0104 and / or the answer input reception unit 0105 is input / output via the voice input / output unit. It is a system to do. Hereinafter, the description of the configuration common to the eleventh embodiment will be omitted, and the characteristic configuration of the twelfth embodiment will be described.
<Description of Configuration of Embodiment 12>
<Twelfth Embodiment Voice Feedback Processing Rule Holding Unit>

The “voice feedback processing rule holding unit” holds a voice feedback processing rule that is a rule for performing feedback processing in accordance with the voice estimated answer output from the voice estimated answer output unit. Here, the feedback process is the same as the feedback process of the seventh embodiment described above, and is different only in that it is performed based on the voice answer relation learning, not the face answer learning relation. .
<Twelfth Embodiment Voice Feedback Processing Unit>

The “voice feedback processing unit” performs voice feedback processing based on the acquired voice estimation response and the voice feedback processing rule. For example, if the labor management computer responds with a voice estimate that the worker's overtime hours of the current month have exceeded the prescribed time and the fatigue has accumulated, a warning is automatically sent to the supervisor if the worker does not return home. An automatic overtime regulation process such as shipping is considered.
<Embodiment 13>
<Overview>

The labor management system according to the thirteenth embodiment is based on the first to fifth embodiments, and the detection unit performs any one or more of medical examinations such as a worker's breath, blood pressure, blood oxygen, body weight, body fat, heart rate, and body temperature. It is a labor management system characterized by detecting and performing detection result answer relation learning. The answering relationship of the health check detection results described above is learned.
<Embodiment 13 Configuration>

As shown in FIG. 1, the labor management system according to the thirteenth embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquiring unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer It has an input reception unit 0105, a time acquisition unit 0106, and a recording unit 0107, and includes a detection unit, a detection result / response relationship learning unit, a detection result / response relationship holding unit, a detection result / estimated response acquisition unit, And a result estimation answer output unit. Hereinafter, the description of the configuration common to the first to fifth embodiments will be omitted, and the configuration characteristic of the thirteenth embodiment will be described.
<Explanation of Configuration of Embodiment 13>

  The “detection unit” is capable of detecting any one or more of medical examinations such as exhalation, blood pressure, blood oxygen, body weight, body fat, heart rate, and body temperature of a worker who receives input such as going to and from work. The detection unit only needs to detect at least one of expiration (including alcohol check), blood pressure, blood oxygen, body weight, body fat, heart rate, and body temperature, and does not need to have all detection functions. Further, a multi-function type capable of performing a plurality of detections is also included. In the detection by workers, all workers may be detected, or some workers may be detected. For example, an arbitrary person such as a person who has overtime over a predetermined time or a person who has returned home on an overseas business trip may be examined.

  The “detection result / response relationship learning unit” learns a detection result / response relationship that is a relationship between a worker's detection result detected by the detection unit and an answer to the worker's question. The detection result / response relationship refers to the relationship between the worker's detection result detected by the detection unit and the answer to the worker's question. For example, when “body temperature” exceeds 38 degrees, the physical condition is good. A relationship that is judged to be not.

The “detection result / response relationship holding unit” holds the latest learned detection result / response relationship. In other words, it is assumed that when the “body temperature” at normal time is “36 degrees”, the detection result answer relationship is held as the latest detection result answer relationship that the physical condition is good.
The detection result estimated answer acquisition unit at that time will be described.

  The “detection result estimated answer acquisition unit” acquires an estimate of the answer from the detection result based on the latest relation of the detection result answer held. For example, when the question information for the worker is “How is your physical condition?”, The answer to the question is “good”. When the detection result of the detection unit is “36 degrees”, a detection result estimation answer is acquired that the worker is in good physical condition.

  The “detection result estimation answer output unit” outputs the acquired detection result estimation answer. The detection result estimated answer output unit can output the detection result estimated answer as described above, accumulate it in the management server, and notify the manager and supervisor of the worker.

As described above, according to the thirteenth embodiment, in addition to the first to fifth embodiments, the detection result / response relationship learning can be performed instead of the above-described face / response relationship learning. Will be able to get. In addition, it is possible to increase the compulsory power of physical health checks, health checkup recommendations, and exercise recommendations. Furthermore, in the thirteenth embodiment, the detection result / response relationship learning has been described. However, the detection result / response relationship learning may be performed by combining the face / response relationship learning in the sixth embodiment or the voice / response relationship learning in the tenth embodiment.
<Embodiment 14>
<Overview>

The labor management system according to the fourteenth embodiment is a labor management system characterized by performing feedback processing of estimation results based on detection result / answer relation learning based on the thirteenth embodiment.
<Embodiment 14 configuration>

As shown in FIG. 1, the labor management system according to the fourteenth embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquiring unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer It has an input reception unit 0105, a time acquisition unit 0106, and a recording unit 0107, a detection unit, a detection result / response relationship learning unit, a detection result / response relationship holding unit, a detection result / estimated response acquisition unit, and a detection The system further includes a result estimation response output unit, a detection result feedback processing rule holding unit, and a detection result feedback processing unit. Hereinafter, the description of the configuration common to the thirteenth embodiment will be omitted, and the configuration characteristic of the fourteenth embodiment will be described.
<Explanation of Configuration of Embodiment 14>
<Embodiment 14 Detection Result Feedback Processing Rule Holding Unit>

The “detection result feedback processing rule holding unit” holds a detection result feedback processing rule that is a rule for performing feedback processing according to the detection result estimated answer output from the detection result estimated answer output unit. Here, the feedback process is similar to the feedback process of the seventh embodiment described above, and is different only in that it is performed based on the detection result / response relationship learning, not the face / response learning relationship, and the description thereof is omitted. To do.
<Embodiment 14 Detection Result Feedback Processing Unit>

The “detection result feedback processing unit” performs detection result feedback processing based on the acquired detection result estimation response and the detection result feedback processing rule. For example, if the labor management computer replied from the detection results that the worker's current overtime for the current month exceeded the prescribed time and estimated that the fatigue has accumulated, the supervisor will be automatically warned if the worker does not return home. An automatic overtime regulation process such as shipping can be considered.
<Embodiment 15>
<Overview>
The fifteenth embodiment is based on the first to fourteenth embodiments, and further includes a question information input unit and a question information editing unit. The user inputs question information originally created by the user, A labor management system characterized by being editable.
<Embodiment 15 Configuration>
As shown in FIG. 1, the labor management system of the fifteenth embodiment includes an attendance / exit identification information input receiving unit 0101, a worker identification information acquisition unit 0102, a question information holding unit 0103, a question information output unit 0104, an answer The system includes an input reception unit 0105, a time acquisition unit 0106, and a recording unit 0107, and further includes a question information input unit and a question information editing unit. Hereinafter, the description of the configuration common to the fifteenth embodiment will be omitted, and the characteristic configuration of the fifteenth embodiment will be described.
<Explanation of Configuration of Embodiment 15>
The “question information input unit” allows question information to be input to the question information holding unit 0103 by the user.
The “question information editing unit” allows the user to edit the question information held in the question information holding unit 0103.
By using the question information input unit and the question information editing unit, it is possible to input question information created independently by the user or to edit different question information depending on the company.

  As described above, according to the first to fifteenth embodiments, since the compulsory force that must answer a question about mental health or the like is first used, a mental health check can be surely performed. In other words, if you don't answer a question, you won't be at work. Secondly, even for questions other than questions related to mental health, a labor management system capable of checking mental health can be realized by, for example, a face answer relation learning function, a voice answer relation learning function, a detection result answer relation learning function, and the like. Furthermore, it is possible to realize a labor management system in which a compulsory force that must answer questions about overtime schedules, etc. is used.

Claims (18)

An identification information input accepting section for entering and leaving, etc. for accepting the input of identification information such as going to and leaving from the employee at the time of working, leaving work, etc.
A worker identification information acquisition unit for acquiring worker identification information for identifying a worker in association with input of identification information such as attendance;
A question information holding unit for holding question information, which is information for composing a question to be made at the time of going to work or / and leaving for a worker;
A question information output unit for outputting the question information held in accordance with the reception of the input of the identification information such as the attendance and departure from the worker;
An answer input accepting unit for accepting input of answers from workers for the output question information;
A time acquisition unit for acquiring time;
A recording unit that records the acquired time, the worker identification information, and the answer received in response to the question in association with each other only when an answer is input;
Having labor management system. The question information held by the Question Information Holding Department includes questions about the worker's current mood, questions about the worker's physical condition, questions about the worker's lunch schedule, and the employee's schedule for today's dinner. Questions to ask, questions about the employee's schedule for going out today, questions about the employee's schedule for today's meeting, questions about the employee's schedule for working overtime today, questions about the employee's schedule for work this week, work, Questions about the employee's current quota, questions about the worker's health check-up schedule, questions about the worker's work-up schedule, questions about the worker's schedule for smoking today, Questions about schedules, questions about the employee's meal plan, questions about the employee's plan to take paid leave, questions about whether the employee has harassment in the workplace, questions about whether the employee is worried, work To ask whether there is a demand for the workplace , Questions about employee attendance schedules, questions about worker co-worker's mood predictions, questions about worker co-worker's physical condition predictions, questions about employee co-worker's lunch schedule today, A question about a colleague's schedule for today's dinner, a question about his colleague's going out today, a question about his colleague's schedule for today's meeting, a question about his colleague's schedule for today's work, Ask questions about your work colleagues 'work schedule for this week's holiday, questions about your colleagues' current quotas, questions about your work colleagues 'health checkup schedules, and your work colleagues' work-up schedule. Questions to ask, questions about the work colleague's schedule for smoking today, questions about the work colleague's schedule for drinking today, questions about the work plan of his colleague's today's meals, paid work colleagues Questions about vacation plans, at work of colleagues Ask at least one of the following questions: whether there is a harassment question, whether the employee's colleague is worried, whether the employee's colleague has a desire for the workplace, or whether the employee's colleague is planning to attend an event. The labor management system according to claim 1, which is question information to be configured.   The labor information management unit according to claim 1 or 2, wherein the question information output unit has a two-dimensional input unit that allows a worker to input two types of information by one input using a two-dimensional chart centered on different types of information. system.   The labor management system according to any one of claims 1 to 3, wherein the question information is image selection question information for selecting an image. It further has a touch panel display unit including a touch panel display,
The labor management system according to any one of claims 1 to 4, wherein the question information output unit and / or the answer input reception unit inputs and outputs via the touch panel display unit. Facial answer-related learning Has a shooting unit that can capture the face of a worker who accepts input such as going out and leaving,
A face answer relationship learning unit for learning a face answer relationship that is a relationship between an image of a worker's face photographed by the photographing unit and an answer to the worker's question;
A face answer relationship holding unit for holding the latest learned face answer relationship;
An estimated answer acquisition unit that acquires an estimate of the answer from the face image based on the latest stored face answer relationship;
An estimated answer output unit for outputting the obtained estimated answer;
The labor management system according to claim 5, further comprising: A feedback processing rule holding unit that holds a feedback processing rule that is a rule for performing feedback processing according to the estimated answer output from the estimated answer output unit;
A feedback processing unit that performs feedback processing based on the obtained estimated answer and the feedback processing rule;
The labor management system according to claim 6, further comprising: A related worker identification information holding unit that holds and associates the worker identification information of a related worker who becomes a related person in the work of the worker,
A related worker answer output unit that collectively outputs answers to the questions associated with the worker identification information of the related workers,
The labor management system according to any one of claims 1 to 7, further comprising: An answer-causal relationship learning unit that learns the output of the relationship worker response output unit and estimates the causal relationship of responses between related workers;
An attendance and departure time answer estimation unit that estimates an answer when accepting an input of an answer to a future question from an answer at the time of attendance based on the learned causal relationship;
The labor management system according to claim 8, further comprising: A voice input / output unit;
The labor management system according to any one of claims 1 to 4, wherein the question information output unit and / or the answer input reception unit performs input / output via a voice input / output unit. Voice response related learning Has a recording part that can record the voice of the worker who accepts input such as going to and from work,
A voice response relationship learning unit that learns a voice response relationship that is a relationship between the voice of the worker's voice recorded by the recording unit and the answer to the worker's question,
A voice response relationship holding unit that holds the latest learned voice response relationship;
A voice estimation response acquisition unit that acquires an estimate of a response from the voice of the voice based on the latest voice response relationship held;
A voice estimation response output unit that outputs the acquired voice estimation response;
The labor management system according to claim 10, further comprising: A voice feedback processing rule holding unit that holds a voice feedback processing rule that is a rule for performing feedback processing according to the voice estimation answer output from the voice estimation response output unit;
A voice feedback processing unit that performs voice feedback processing based on the obtained voice estimation response and voice feedback processing rules;
The labor management system according to claim 11, further comprising: Health check result answer-related learning Has a detection unit that can detect at least one of exhalation, blood pressure, blood oxygen, weight, body fat, heart rate, body temperature of workers who accept inputs such as attendance
A detection result / response relationship learning unit that learns a detection result / response relationship that is a relationship between the detection result of the worker detected by the detection unit and an answer to the worker's question,
A detection result / response relationship holding unit that holds the latest detection result / response relationship learned;
A detection result estimation answer acquisition unit that acquires an estimate of the answer from the detection result based on the latest detection result answer relationship held;
A detection result estimation response output unit for outputting the acquired detection result estimation response;
The labor management system according to claim 1, further comprising: A detection result feedback processing rule holding unit that holds a detection result feedback processing rule that is a rule for performing feedback processing according to the detection result estimated answer output from the detection result estimated answer output unit;
A detection result feedback processing unit that performs detection result feedback processing based on the acquired detection result estimation answer and the detection result feedback processing rule;
The labor management system according to claim 13, further comprising:   The labor management system according to any one of claims 1 to 14, further comprising a question information input unit for inputting question information to the question information holding unit.   The labor management system according to any one of claims 1 to 15, further comprising a question information editing unit for editing the held question information. An operation method of a labor management system having a question information holding unit for holding question information which is information for composing a question to be made at the time of going to work and / or leaving for a worker,
Steps for entering and leaving identification information input for accepting the input of identification information such as going to and leaving from work, such as going to work, leaving work, etc.
A worker identification information acquisition step for acquiring worker identification information for identifying a worker in association with the input of identification information such as attendance;
A question information output step for outputting the question information held in accordance with the reception of the input of the identification information such as the attendance and departure from the worker;
An answer input acceptance step for accepting an input of an answer from the worker for the output question information;
A time acquisition step for acquiring time;
A recording step for associating and recording the acquired time, the worker identification information, and the answer received in response to the question only when an answer is input;
A method for operating a labor management system comprising: An operation program for a labor management system, which is a computer having a question information holding unit for holding question information, which is information for composing a question to be made at the time of going to work and / or leaving for a worker,
Steps for entering and leaving identification information input for accepting the input of identification information such as going to and leaving from work, such as going to work, leaving work, etc.
A worker identification information acquisition step for acquiring worker identification information for identifying a worker in association with the input of identification information such as attendance;
A question information output step for outputting the question information held in accordance with the reception of the input of the identification information such as the attendance and departure from the worker;
An answer input acceptance step for accepting an input of an answer from the worker for the output question information;
A time acquisition step for acquiring time;
A recording step for associating and recording the acquired time, the worker identification information, and the answer received in response to the question only when an answer is input;
Is an operation program for the labor management system in which it is read and executed in the labor management system which is a computer.