JP2010104660A - Aptitude determining system for work - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system for more accurately determining the aptitude for more specific work. <P>SOLUTION: An arithmetic operating part 1 is configured to compute the accuracy of test work computed based on the work data input by a subject, to compute the activity index of the cerebral neocortex from voice data of the subject input according to the execution of the test work, and to specify and output the range of the activity index of the cerebral neocortex satisfying the required accuracy of specific test work by associating the work accuracy with the activity index of the cerebral neocortex. The activity index of the cerebral neocortex computed from the voice data is the value computed by an SiCECA algorithm based on the voice data of the subject. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a system for determining work aptitude of a subject.

  The concept of determining occupational aptitude using the mental work inspection method or the like is conventionally known. In these methods, scoring standards are set in advance, and occupational aptitude is determined according to the standards. In other words, this conventional method only determines occupational aptitude, and does not determine more specific work aptitude.

In addition, a method of determining work suitability by measuring work accuracy that changes with time during actual work may be considered. Specifically, a specific work is continuously performed for a predetermined time or longer, and the required level of work accuracy can be maintained.
In the case of simple work where proficiency does not matter so much, high work accuracy can be obtained from the beginning. However, in the case of a complicated work requiring a certain level of proficiency, it takes a little time to get used to the work, and the work accuracy is not so high during that time.
In any case, even if the work accuracy can be achieved up to a certain level, after a certain amount of time has passed, the work accuracy usually decreases due to fatigue or getting tired.
Therefore, the work suitability of the person can be determined based on how long the required work accuracy can last.
JP 2001-290926 A Seiichi Shiomi, “Brain function model considered from speech analysis”, Kansei Engineering Research Papers, Japan, Japan Society for Kansei Engineering, February 2004, Vol. 4, No. 1, p. 3-12

  As described above, the aptitude determination method using the conventional mental work inspection method is to determine occupational aptitude, but it does not presuppose a specific occupation. For example, its personality and hand dexterity From this, it was an analogy of aptitude occupation. In this way, since only the abstract occupational aptitude is inferred, there is a problem that the aptitude of specific work cannot be determined and its accuracy is lacking.

Further, if it is attempted to determine work aptitude based on changes in work accuracy over time, it may not be possible to accurately determine whether or not a certain work accuracy is maintained. For example, if a subject maintains a moderate tension state while inspiring himself / herself under a special environment of testing, a certain degree of time work accuracy can be maintained. However, it is quite difficult to consciously maintain the tension state in normal work. Therefore, even if the work accuracy can be cleared as a result of consciously maintaining the tension state, it is not necessarily the suitability of the subject. This is because such a person does not know whether the same work accuracy can be maintained once the tension is released.
For this reason, there is a problem that the conventional determination method that attempts to determine suitability based only on the relative relationship between time and work accuracy cannot always make an accurate determination.
An object of the present invention is to provide a system capable of accurately determining more specific aptitude based on the correlation between an apparent condition and an internal condition.

  1st invention is the request | requirement which memorize | stored the request | requirement work precision preset according to the evaluation criteria memory | storage part which memorize | stored the evaluation standard of work precision, the test scenario memory | storage part which memorize | stored the test work scenario, and specific work A work accuracy storage unit, a calculation unit linked to the evaluation criteria storage unit, a test work scenario storage unit, and a required work accuracy storage unit, and a work to input work data as a result of the test work of the subject The data input unit, the calculation unit includes a biological information input unit for inputting the biological information of the subject, and a data output unit.

Then, the calculation unit advances the scenario stored in the test scenario storage unit, and the subject executes the test work according to the scenario, and is input from the work data input unit according to the execution of the test work. Compare the work data with the number of correct answers and processing time based on the above-mentioned evaluation criteria stored in advance in the evaluation criteria storage unit, calculate the work accuracy per unit length according to the progress of the scenario, and input biometric information Calculate the activity index of the cerebral neocortex from the biological information input from the department, create a correspondence table that associates the activity index of the cerebral neocortex and the above work accuracy, and from the created correspondence table, the above request The activity index range of the cerebral neocortex that satisfies the required task accuracy stored in advance in the task accuracy storage unit is identified, and the activity index range of the identified cerebral neocortex is identified. To output to the output unit.
Note that the test work is appropriately a work that requires the ability required for a specific work for determining suitability. For example, the work itself, a simulated work with the same work type, or a work having the same required ability even if the work type is different is included.

According to a second aspect of the present invention, the biological information input unit is a voice data input unit that inputs a voice signal of a subject, and the arithmetic unit is a voice data input from the voice data input unit in response to the execution of the work. The activity index of the cerebral neocortex of the subject corresponding to the unit length is calculated based on the above, and a correspondence table in which the activity index of the cerebral neocortex is associated with the work accuracy is created.
The activity index of the cerebral neocortex calculated from the voice data is a brain activity index calculated by the SiCECA algorithm described in Non-Patent Document 1.

In the third aspect of the invention, the calculation unit calculates work accuracy per unit time and creates a correspondence table by associating the work accuracy with the activity index of the cerebral neocortex associated with the unit time. Is.
In the fourth invention, the calculation unit calculates the work accuracy per unit length of the scenario, and associates the work accuracy with the activity index of the cerebral neocortex associated with the unit length of the scenario, A correspondence table is created.

  5th invention presupposes 2nd-4th invention, the test scenario memory | storage part memorize | stores the test scenario by which the utterance timing was specified beforehand, and a calculating part is generation | occurrence | production specified by the said test scenario. An utterance attraction signal is output at the timing.

In the sixth invention, the test work specified by the scenario stored in the test scenario storage unit is the actual work itself.
The seventh invention is provided with a display, and on this display, a work story based on the scenario stored in the test scenario storage unit is displayed, and the subject executes a simulation work based on the work story. is there.

According to the first to seventh inventions, more specific and accurate work aptitude can be determined while performing an actual work or a test actual work close to the actual work or a simulation work close to the actual work.
In addition, according to the present invention, it is possible to determine whether or not the required work accuracy is maintained in a state with a margin in view of the activity level of the cerebral neocortex, so that accurate work suitability considering the internal elements of the subject can be understood. It will be.

According to the second invention, since the activity index of the cerebral neocortex is calculated based on the voice data, the cerebral neocortex of the subject is compared with a method using other biological information for measuring cerebral blood flow or the like. The biometric information input unit for detecting the activity can be simplified and downsized.
According to the third aspect of the invention, the relative relationship between the work accuracy and the activity index of the cerebral neocortex can always be kept accurate.
According to the fourth invention, it is possible to accurately maintain the relative relationship between the work accuracy and the activity index of the cerebral neocortex according to the work progress.

According to the fifth aspect of the invention, the voice timing of the subject can be controlled, so that necessary voice data can be reliably captured. In addition, since the input timing of the audio data is determined in advance, it can be easily associated with the work accuracy.
According to the sixth aspect, since the test work performed by the subject to determine the work aptitude is the actual work itself, the suitability for the work can be determined more accurately.
According to the seventh aspect, since suitability can be determined based on highly realistic simulation work, large-scale equipment or the like is not required for testing. Moreover, it is possible to freely construct an appropriate story according to the suitability for judging.

1 to 4 show an embodiment of the present invention. The work suitability determination system according to this embodiment allows a subject to perform a test work and determines suitability for the test work.
And the system of this embodiment is provided with the calculating part 1 which processes data, In this calculating part 1, the audio | voice data input part 2 for inputting a test subject's audio | voice data, and the operation | work which is an execution result of a test work A work data input unit 3 for inputting data is connected.
The voice data input unit 2 constitutes the biometric information input unit of the present invention, and is used for taking in voice data as a basis for calculating the activity index of the cerebral neocortex of the subject described later. Specifically, it consists of a microphone and A / D conversion means. The operation data input unit 3 is connected to an operation unit 4 such as a mouse or a keyboard for a subject to input operation data.

Further, the arithmetic unit 1 includes a test scenario storage unit 5 that stores a test work scenario to be executed by the system, an evaluation standard storage unit 6 that stores an evaluation standard for evaluating the result of the test work, and a test A required work accuracy storage unit 7 that stores work accuracy required for work, a data storage unit 8 that stores data input from the voice data input unit 2 and the work data input unit 3, and a data output unit 9 Connected.
The data output unit 9 has a function of outputting the processing result in the calculation unit 1 and the like. In this embodiment, a display 10 is connected to the data output unit 9 so that the processing result in the calculation unit 1 is displayed on the display 10. However, the display 10 displays not only the processing result but also a simulated test operation to be performed by the subject.

The simulated test work can be executed on the basis of the image displayed on the display 10 and is a substitute for the actual work whose suitability is to be determined.
The test work screen shown in FIG. 2 shows, for example, a test work for a police officer in charge who recognizes a violator by enforcing traffic speed violations, and allows the worker to input information on the car displayed in the video. It is a thing. The vehicle information to be input by the worker is the lane in which the worker is traveling, whether the vehicle is a large vehicle, a normal vehicle, a light vehicle, or the like, color, number, or the like. This is a video showing a road through which a car is passing, and the information of the car displayed in this video is input to the subject. The vehicle information to be input by the subject is the lane in which the subject is traveling, the type of a large vehicle, a normal vehicle, a light vehicle, etc., or the color, number, and the like.

In addition to the moving image window 10a, the display 10 includes a lane number input button 10b including “1”, “2”, and “3” for specifying a lane, and “large”, “normal”, and “light”. A car model input button 10c, a color input button 10d composed of “dark”, “medium”, and “light”, a number input button 10e composed of numbers “0” to “9”, and the like are displayed.
Then, after the subject clicks these input buttons with the mouse, the subject clicks the enter button 10f to input information on the car passing through the moving image area 10a. Here, when the lane number input button 10b is clicked, the moving image is temporarily stopped to make the vehicle stationary so that it can be easily seen. Further, when the mold input button 10c, the color input button 10d, and the number input button 10e are clicked and the enter button 10f is clicked, the moving image is restarted.
In the figure, reference numeral 10g is a number display column for displaying the input number, and reference numeral 10h is a clear button for correcting the input data.

In this embodiment, inputting car information while watching a moving image is a test work, and car information input by a subject is work data of the present invention.
A program for displaying a screen for the test work and stopping or playing back the moving image according to work data input by the subject is stored in advance in the test scenario storage unit 5 as a test work scenario. Remember.
Further, in the evaluation criterion storage unit 6, the above-described information regarding all the vehicles appearing in the moving image is stored as correct data in association with, for example, the elapsed time from the start of moving image reproduction or the progress of the moving image. . The calculation unit 1 compares the correct answer data with the work data input by the subject, and calculates work accuracy described later.

  The test scenario stored in the test scenario storage unit 5 also has a timing for outputting an utterance attraction signal for prompting the subject under test to utter. The computing unit 1 outputs the utterance invitation signal at the output timing of the utterance invitation signal set in this test scenario. The output of the utterance attraction signal is, for example, displaying words to be read by the subject on the display 10 or outputting an audio signal for prompting utterance from, for example, a speaker.

The voice data input by the voice data input unit 2 during the test operation may be any voice generated by the subject. For example, a police officer in charge who recognizes the violator by controlling traffic speed violations. In this case, the lane in which the vehicle is running, whether it is a large vehicle, a regular vehicle, a light vehicle, etc., or the color, number, etc., are uttered.
Then, the calculation unit 1 outputs the above-mentioned generation attraction signal and simultaneously turns on the function of the voice data input unit 2 so that the voice of the subject can be captured.

Hereinafter, a procedure for determining the work suitability of the subject by executing the test work using the screen shown in FIG. 2 in the work suitability judging system of this embodiment will be described.
When the start signal is input, the calculation unit 1 displays a test work screen including the moving image window 10a on the display 10 based on the scenario stored in the test scenario storage unit 5.
The subject inputs necessary information by operating the operation unit 4 such as a mouse. However, before starting the test work, the subject information is also input. The subject information is information for specifying a subject who performs a test work, such as a name and sex. However, the subject attributes and the like may be stored in advance in this system, and only the subject ID may be input during the test work.

When the test work starts and the subject inputs work data, the work data is input to the computing unit 1 via the work data input unit 3. The calculation unit 1 stores the input work data in the data storage unit 8 in association with the progress of the scenario, for example, the reproduction time of the moving image, the number of frames of the moving image data, and the like. The progress of this scenario can be set as the progress of the test work.
Further, the calculation unit 1 displays a recitation screen on the display 10 as an utterance attraction signal and takes in audio data from the audio data input unit 2 when the above-described utterance attraction timing is reached while advancing the scenario. The calculation unit 1 also stores the acquired voice data in the data storage unit 8 in association with the progress of the scenario.

When all the test operations are completed according to the above scenario, the arithmetic unit 1 executes the following processing based on the operation data and the audio data accumulated in the data storage unit 8.
First, the calculation unit 1 compares the collected work data with the correct answer data stored in the evaluation criterion storage unit 6 to calculate the work accuracy per unit length according to the progress of the scenario. This unit length can be set for each test operation such as time and the number of frames.
The work accuracy is calculated by comparing the work data input during the unit length with the correct data to be input during the unit length. It is calculated from excess and deficiency, data input timing, etc., and is a value indicating how accurately a specific test operation has been performed. The criterion for determining the correct answer and the calculation method of the work accuracy are stored in advance in the evaluation reference storage unit 6 for each test work.

In the case of a test work in which the moving vehicle shown in FIG. 2 is observed and the information is input, an evaluation standard for the number of vehicles corresponding to the input work data and an evaluation of whether the input information is correct or incorrect Standards, evaluation standards for input timing, etc. are defined respectively. Note that the above-mentioned evaluation of the input timing is input when the same correct data is input, when the work data is input immediately after the car appears in the moving image window 10a, and immediately before disappearing from the moving image window 10a. Since the reaction rate differs depending on the case, the evaluation is changed for each reaction rate.
Then, for each item, the work data is evaluated according to the evaluation criteria, and the result is integrated to calculate the work accuracy.
Further, the calculation unit 1 calculates an activity index of the cerebral neocortex from the collected voice data according to the SiCECA algorithm described in Non-Patent Document 1.

Then, the calculation unit 1 associates the calculated activity index of the cerebral neocortex with the work accuracy per unit length according to the input of the voice data that is the basis thereof. The correspondence between these data is as follows.
As shown in FIG. 3, when the test work is continuously performed and the test work data is also continuously input, the calculation unit 1 divides the progress time of the test work into unit times Δt1, Δt2,. Thus, the work accuracy is calculated for each unit time. On the other hand, when the audio data V1 is input within Δt1 and another audio data V2 is input within Δt2, the activity index of the cerebral neocortex calculated based on the audio data V1 is set to the work accuracy of the unit time Δt1. Correlating, the activity index of the cerebral neocortex calculated based on the voice data V2 is associated with the work accuracy of the unit time Δt2.

  However, depending on the test work scenario, voice data may be input outside the unit time in which the work data is input. For example, when an utterance attraction signal is output each time a work is divided and voice data is input each time, the work accuracy per unit length immediately before or after the voice data is input is set to the above voice Correlate with activity index of cerebral neocortex based on data. Note that the selection is made in advance to select either immediately before or immediately after the voice data is input.

  The calculation unit 1 creates a correspondence table between the work accuracy calculated as described above and the activity index of the cerebral neocortex. The values of this correspondence table can be represented by the graph of FIG. 4 with the horizontal axis representing the activity index of the cerebral neocortex and the vertical axis representing the work accuracy A. And the graph G1 shown in FIG. 4 is the data regarding the test operation | work of a specific test subject. The graph G1 is a set of plots of a plurality of points P1, P2, P3,... Pm representing work accuracy and activity index of the cerebral neocortex corresponding to the unit length of each scenario progression. The correlation between the activity index S of the cerebral neocortex and the work accuracy A is shown. Graph G2 is data of another subject.

Note that the horizontal and vertical axes do not include time elements related to the progress of the test work. Therefore, the change in work accuracy over time does not appear in the graph shown in FIG. There is no correlation with changes over time.
However, when the activity index of the cerebral neocortex is high, it can be said that it is tension normal, and when it is low, it can be said to be relaxed. The activity index tends to be low.
In addition, according to an experiment different from this work aptitude determination system, in the case of the same subject, the work accuracy is almost the same if the activity index of the cerebral neocortex is the same during the same work regardless of the work time. I have confirmed that. Therefore, it is considered that the graph characteristic shown in FIG. 4 showing the correlation between the activity index of the cerebral neocortex and the work accuracy represents the basic ability of the individual in the work.

When the correspondence table shown in the graph of FIG. 4 is created, the calculation unit 1 specifies the required work accuracy corresponding to the test work from the required work accuracy storage unit 7, and the activity index of the cerebral neocortex that satisfies this requirement Identify the range. Then, the calculation unit 1 outputs the activity index range of the specified cerebral neocortex to the data output unit 9.
For example, when the required work accuracy is A1, the activity index range of the cerebral neocortex that satisfies the graph G1 in FIG. 4 is Sx. In other words, when the activity index of the cerebral neocortex is within the activity index range Sx, the subject satisfies the required work accuracy of the test work performed in this system.
If the activity index range Sx of the cerebral neocortex is displayed on the display 10 via the data output unit 9, it can be determined whether or not the subject has suitability for the test work based on this value.

  If the activity index range Sx of the cerebral neocortex is wide, the activity index range of the cerebral neocortex that satisfies the required work accuracy A1 is wide, and accordingly, the activity index of the cerebral neocortex varies. Since the allowable range is wide, it means that the required work accuracy A1 can be maintained even if the activity of the cerebral neocortex varies somewhat. The cerebral neocortex is a part that controls the work of the worker, and its activity changes depending on the environment and physical condition, and is known to be related to the degree of fatigue. Therefore, a subject with a wide activity index range Sx of the cerebral neocortex that satisfies the required work accuracy A1 can maintain high work accuracy even if conditions such as physical condition and external environment change. The fact that high work accuracy can be maintained even if the physical condition or the external environment changes in this way can be determined to be suitable for this work.

On the other hand, in the case of another subject shown in the graph G2 shown in FIG. 4, the activity index range Sy of the cerebral neocortex that satisfies the required work accuracy A1 is narrower than the activity index range Sx. If the degree of activity changes even a little, the required work accuracy cannot be stably maintained. Therefore, it can be determined that the suitability for this test operation is insufficient.
With respect to the criteria for determining work aptitude, it is possible to determine experimentally what the activity index range of the cerebral neocortex that satisfies the required work accuracy is.
As described above, the correlation characteristic between the activity index of the cerebral neocortex and the work accuracy can be considered to represent the individual ability. In the determination system of this embodiment, such ability is represented by the work precision and the cerebrum. Since it can be quantitatively evaluated by the activity index of the new cortex, work aptitude can be quantitatively evaluated.

In addition, when the work accuracy is grasped as a change over time as in the past, for example, if a high degree of work accuracy is maintained by consciously maintaining a moderate degree of tension, the appearance is appropriate. appear. However, looking at the correlation between the activity index of the cerebral neocortex and work accuracy, it is clear that the brain has no room. Thus, even if the work accuracy is maintained for a certain period of time, if the brain does not have enough room, it cannot be said that the work accuracy is suitable. However, it was not possible to find a subject who did not have such suitability by looking only at the change in work accuracy over time as in the past.
According to this embodiment, not only the appearance but also the inner surface can be used as the determination material, so that the conventional problem does not occur and accurate aptitude determination can be performed.

Therefore, according to this embodiment, an optimal person can be selected as a worker by selecting a person with a wide activity index range of the cerebral neocortex that satisfies the required work accuracy from among a plurality of subjects. .
In the above-described embodiment, the test work suitable for testing instantaneous cognitive ability and judgment power is executed using a scenario that changes at a constant speed. Alternatively, the actual work itself may be executed as a test work.

The work data input during the test work is not limited to data input by the subject by operating the operation unit 4 such as a mouse, but may be data automatically input during the actual work. For example, when determining the suitability of driving the vehicle, the test vehicle may be actually driven and the driving situation may be automatically input to the computing unit 1 as work data. Moreover, when determining the suitability of the dispensing operation, the weighing data of the medicine may be automatically input from the electronic balance to the calculation unit 1.
In any case, in the present invention, the work data may be input manually by the subject, or data generated during the work may be automatically input.

Furthermore, the speech data input during the work may be any language, but it is preferable that the subject's consciousness is not concentrated more than necessary in speaking itself.
In the above embodiment, the utterance attraction timing is set in the test work scenario. However, if the test work is a work involving utterance, the test subject must inevitably occur. An utterance invitation signal is not required.

In the embodiment described above, the activity index of the cerebral neocortex is calculated based on the speech data. However, the method for detecting the activity index of the cerebral neocortex is not limited to that based on the speech data. For example, the blood flow volume and oxygen consumption of the cerebral neocortex may be measured, and the activity index of the cerebral neocortex may be calculated based on the measurement results. The cerebral blood flow can be measured by a PET (positron emission tomography), a topograph device or the like. Another possible method is to measure the oxygen consumption from the exhaled breath of the subject and to estimate the oxygen consumption in the brain.
However, in these methods, as compared with the method of calculating the activity index of the cerebral neocortex based on voice data as in the above embodiment, the biometric information input unit is enlarged and the detection device is attached. There is a drawback of placing a burden on the subject.
In addition, when comparing the activity index of the cerebral neocortex calculated based on different biological information, it is necessary to match both scales.

It is a system configuration figure of an embodiment. It is the figure which showed an example of the test work screen of embodiment. It is a figure for demonstrating audio | voice data input timing. It is the graph which showed the correspondence of the activity index of cerebral neocortex, and work precision.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Computation part 2 Voice data input part 3 Work data input part 5 Test scenario memory | storage part 6 Evaluation reference | standard memory | storage part 7 Request work precision memory | storage part 9 Data output part V1, V2 Voice data (DELTA) t1, (DELTA) t2 Unit time S Activity of cerebral neocortex Index A Work accuracy A1 Required work accuracy Sx, Sy Activity index suitability range

Claims (7)

  An evaluation criterion storage unit that stores evaluation standards for work accuracy, a test scenario storage unit that stores scenarios of test operations, a required work accuracy storage unit that stores required operation accuracy preset according to specific operations, A calculation unit linked to the evaluation criterion storage unit, the test work scenario storage unit, and the required work accuracy storage unit, a work data input unit that inputs work data that is a result of the test work of the subject to the calculation unit, and The calculation unit includes a biometric information input unit that inputs the biometric information of the subject and a data output unit, and the calculation unit advances the scenario stored in the test scenario storage unit, and the test subject is determined according to the scenario. The evaluation data stored in advance in the evaluation criterion storage unit is performed by executing the test operation and the operation data input from the operation data input unit according to the execution of the test operation. The accuracy of the cerebral neocortex is calculated from the biological information input from the biological information input unit by calculating the work accuracy per unit length according to the progress of the scenario in comparison with the number of correct answers and processing time based on the quasi And a correspondence table in which the activity index of the cerebral neocortex and the work accuracy are associated with each other, and the required work accuracy stored in the required work accuracy storage unit in advance is satisfied from the created correspondence table. A work aptitude determination system that identifies the activity index range of the cerebral neocortex and outputs the identified activity index range of the cerebral neocortex to the data output unit.   The biometric information input unit is a voice data input unit that inputs a subject's voice signal, and the calculation unit corresponds to the execution of the work, and the unit is based on the voice data input from the voice data input unit. 2. The work aptitude determination system according to claim 1, wherein the activity index of the cerebral neocortex of the subject corresponding to the length is calculated, and a correspondence table in which the activity index of the cerebral neocortex is associated with the work accuracy is created. .   The calculation unit calculates a work accuracy per unit time and creates a correspondence table by associating the work accuracy with the activity index of the cerebral neocortex associated with the unit time. The work aptitude determination system described.   The calculation unit calculates work accuracy per unit length of the scenario and creates a correspondence table by associating the work accuracy with the activity index of the cerebral neocortex associated with the unit length of the scenario. The work aptitude determination system according to claim 1.   The calculation unit stores a test scenario whose utterance timing is specified in advance in a test scenario storage unit, and the calculation unit outputs an utterance invitation signal at the generation timing specified in the test scenario. The work aptitude determination system according to any of the above.   The work suitability determination system according to any one of 1 to 5, wherein the test work specified by the scenario stored in the test scenario storage unit is an actual work itself.   In addition to including a display, the display displays a work story based on the scenario stored in the test scenario storage unit, and the subject performs simulation work based on the work story. Work aptitude judgment system.

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