JP2005044150A - Data collecting device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To select an appropriate member when organizing a team from a plurality of members. <P>SOLUTION: The system is provided with a means 10 providing an event, and sensors 21-25 detecting biological information of candidates 1A-1N for the event. It is provided with circuits 27A-27N which processes detection output of the sensors 21-25 and retrieves data indicating change-with-time of motion of the candidates 1A-1N, and a database device 28 which accumulates the data indicating the change-with-time with the data indicating the candidates 1A-1N and the event in a database. The system is provided with a correlation detecting circuit 31 which detects correlation for the data of a plurality of candidates 1A-1N among the data indicating the change-with-time accumulated in the database device 28, an evaluation circuit 32 which evaluates the detection output of the correlation detecting circuit 31, and an output device 33 which outputs the result of the evaluation of the evaluation circuit 32. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a data collection device.

  For example, in an online game in which a plurality of players form a team and play a game or a battle through a network, if the team is composed of players with similar reactions to the situation, the game can be smoothly advanced.

  For teams that need to work together for a long time, such as a crew member of a ship, aircraft, spacecraft, etc. It is important that the members are in tune.

  However, if everyone forms a team with members with the same personality, everyone may panic in the same way when trouble occurs, so it is not always necessary to form a team with members with the same personality. However, it is desirable to make up for each other to compensate for the strengths and weaknesses of personality.

  In addition, the couple is not a work team in the normal sense, but it is important for each other to maintain a good relationship, and this is the same as the case of the work team described above.

  Therefore, a person who is a candidate for a team member (hereinafter referred to as a “candidate”) conducts a psychological test or the like to create a database of each person's personality. A method for selecting members has been considered (see, for example, Patent Document 1).

However, when members are selected with reference to the results of the psychological test, the test is originally not an actual experience, so there is a limit or a subjective bias of the candidate is introduced into the answer of the test.
Japanese Patent Laid-Open No. 2002-15052

  In the present invention, when a group or team is formed by a plurality of members as described above, an appropriate member can be selected.

In this invention,
When calling a candidate for a team or group member as a candidate,
A means of providing an event;
A sensor for detecting the biometric information of the candidate for the event;
A circuit for processing the detection output of the sensor to extract data indicating a temporal change in the emotion of the candidate;
A data collection device having a database device that stores the data indicating the time change in a database together with the candidate and the data indicating the event.

  According to this invention, in addition to the ability, knowledge, technology, etc. considered in the past team formation, factors such as psychological stability when dealing with crises are taken into account to select members. It can be carried out. In that case, since the biometric information of the candidate is detected and the sensitivity profile is made into a database, there is almost no subjective bias of the candidate, and an appropriate member can be selected.

  In this specification, the “sensitivity profile” is a record of temporal changes of biological information indicating emotion, tension, excitement, etc. of a candidate in association with stimuli or environmental changes presented to the candidate. Shall be called.

First Embodiment FIG. 1 shows an example of the present invention. In this example, a candidate is given various situations or environments by video or sound to obtain sensitivity information, that is, a sensitivity profile. . Moreover, in this example, it is a case where a sensitivity profile is obtained simultaneously for a plurality of candidates 1A to 1N.

  That is, a screen 11, a video projector 12, a speaker 13, and a signal source 14 are provided as a presentation device 10 that presents a plurality of candidates 1 </ b> A to 1 </ b> N with a stimulus or environment such as a work environment or a training environment. The video projector 12 is disposed in front of the screen 11, and the speaker 13 is disposed at the rear or periphery of the screen 11. Candidates 1 </ b> A to 1 </ b> N are seated side by side in front of the screen 11.

  Furthermore, the signal source 14 stores various types of moving image data, still image data, musical sound data, audio data, and the like. These data have contents that provide conditions and conditions for team division when candidates 1A to 1N are grouped. That is, the candidates 1A to 1N are content that gives emotions such as movies and music, and that stimulates the emotions that change with time. The signal source 14 is controlled by a control device 15 having a microcomputer, converts predetermined data out of stored data into a video signal and an audio signal, and outputs the video signal and the audio signal.

  The video signal output from the signal source 14 is supplied to the video projector 12, and a moving image or a still image is displayed on the screen 11. Furthermore, the audio signal output from the signal source 14 is supplied to the speaker 13 and output as sound. In this way, the candidates 1A to 1N are placed in the video and audio environment of the content selected by the control device 15. For example, in the case of collecting candidate data for compatibility diagnosis, videos and sounds such as dramas, sports, music, and reading are presented.

  Each of candidates 1A to 1N is equipped with sensors 21 to 25 for detecting various types of biological information. In this example, the sensor 21 is an electroencephalograph that measures the brain waves of the candidates 1A to 1N, and is mounted on the heads of the candidates 1A to 1N, respectively. Further, the sensor 22 is a conductivity sensor that measures the skin conductivity of the candidates 1A to 1N, and is mounted on, for example, the arms and legs of the candidates 1A to 1N.

  Further, the sensors 23 and 24 are a heart rate sensor and an electrocardiograph that measure the heart rate and electrocardiogram of the candidates 1A to 1N, and are mounted on the chests of the candidates 1A to 1N, respectively. The sensor 25 is a respiration sensor that measures the respiration of the candidates 1A to 1N, and is mounted on the chests of the candidates 1A to 1N, respectively.

  The output signals of the sensors 21 to 25 of the candidate 1A are supplied to the pre-processing circuit 26A and pre-processed for subsequent processing, and then supplied to the sensitivity profile generation circuit 27A. The data indicating the time change is extracted. Here, the “temporal change in the emotion of the candidate 1 </ b> A” corresponds to a time point when the electrical conductivity rapidly increases, for example, when the skin electrical conductivity is described as an example. In the case of a heartbeat, the heartbeat speed, the time when the heartbeat speed suddenly changes, the time when the heartbeat rhythm (timing) is disturbed, and the like. Further, in the case of breathing, the speed and depth of breathing, the time when the speed of breathing suddenly changes, the time when breathing rhythm is disturbed, the time when breathing is stopped for a short time, and the like.

  Then, data indicating the temporal change of the emotion of the candidate 1A is supplied to the database device 28 having an HDD, for example, as the sensitivity profile of the candidate 1A. Data for identifying signals supplied to the video projector 12 and the speaker 13 is supplied to the database 28. Thus, if the situation or state reproduced by the outputs of the video projector 12 and the speaker 13 provides the environment A, the database 28 stores data specifying the environment A and a candidate 1A for the environment A. The sensibility profile is stored in a database.

  The output signals of the remaining candidates 1B to 1N sensors (21 to 25) to (21 to 25) are similarly processed by the preprocessing circuits 26B to 26N and the sensitivity profile generation circuits 27B to 27N, and then the database device 28. The data specifying a certain environment A and the sensitivity profiles of the candidates 1B to 1N for the environment A are stored in a database. Further, if necessary, the control device 15 controls the signal source 14 to change the environment presented by the video projector 11 and the speaker 13 to other environments B, C,... The sensitivity profiles of the candidates 1A to 1N for.

  Thus, the creation of the sensitivity profiles of the candidates 1A to 1N with respect to the environment A is completed, and thereafter, the sensitivity profiles are similarly databased for the other candidates.

  The database constructed as described above is used as follows. That is, when selection of members to form a team is instructed from the control device 15, the sensitivity profile of each candidate is extracted from the database device 28 and supplied to the correlation detection circuit 31. Further, information relating to the team to be organized is supplied from the control device 15 to the correlation detection circuit 31.

  As a result, the correlation detection circuit 31 calculates the correlation of the sensitivity profile recorded in the database device 28 for each candidate combination. Here, the method of combination differs depending on what kind of team formation is desired.For example, when a work team that performs some work is formed, it is a combination of the number of candidates necessary for the work, and the compatibility diagnosis In some cases, it is a combination of one male and one female.

  Also, for example, in the case of compatibility diagnosis, if it is a heart rate, the degree of deviation of the average speed between the two candidates (the product of the magnitude of the deviation and the length of time of coincidence) , And the number of significant changes in heart rate between the two candidates almost simultaneously, as a correlation.

  Then, the detection result of the correlation detection circuit 31 is supplied to the evaluation circuit 32, and an evaluation criterion is set in the evaluation circuit 32 by the control device 15, and the detection result of the correlation detection circuit 31 is obtained for each candidate combination. A combination of a candidate who has been evaluated and obtained a high evaluation and a value of the evaluation value are output.

  Here, the evaluation criterion is, for example, in the case of the organization of a work team with potential danger, the panic correlation is low (one of the team members is calm during trouble). For example, it evaluates positively. Or, in the case of compatibility diagnosis, there is a high correlation between joy and sadness (being joyful or sad in the same scene against a stimulus such as a drama), or an anger correlation is not high (when one person is angry) One example is to evaluate positively that the other is calm, and negatively.

  Then, the evaluation result of the evaluation circuit 32 is supplied to the output device 33, and the output device 33 displays or prints out the combination of candidates who have obtained the high evaluation and the evaluation value. When the evaluation value is lower than a preset threshold level, it is output that there is no corresponding candidate combination.

  Thus, in the above-described apparatus, while giving a stimulus having a great influence on the emotion to the candidate, information such as impression, crying, and tension is extracted from the candidate's biological information, and the time change is extracted. Candidates are selected and combined based on whether they match. Therefore, members can be selected in consideration of factors such as psychological stability when dealing with crises, in addition to the ability, knowledge, skills, etc. that have been considered in the previous team formation. . In that case, since the biometric information of the candidates 1A to 1N is detected and the sensitivity profile is made into a database, the subjective bias of the candidates 1A to 1N hardly occurs and the selection of an appropriate member is realized. it can.

  For example, in the case of compatibility diagnosis, it uses important emotional agreement for human connection, so it is possible to find a comfortable combination of men and women, and the marriage partner introduction industry provides better services. It becomes possible to provide. In addition, Kansei profiles can be collected at different locations and times for each candidate, and the same services are provided for men and women living in remote areas and men and women with different daily life schedules such as holidays. can do.

-2nd Example In 1st Example, it is a case where various stimuli are given to candidates 1A-1N by the image | video and sound, and the sensitivity profile is made into a database, but actual working environment and training environment are provided. It is also possible to create a database of the candidate's sensibility profiles using the equipment to be used, such as offices, plant control rooms, aircraft flight simulators, and the like.

  FIG. 2 shows an example of such a case, in this case the case of a plant control room. That is, in this example, images and information corresponding to various situations and troubles are displayed on the three monitors (displays) 16A to 16C by the control device 15, and the two candidates 1A and 1B are displayed in various ways. The operation is executed and the trouble is dealt with.

  In the same manner as in the example shown in FIG. 1, the biometric information of the candidates 1A and 1B at this time is detected and the sensitivity profile is stored in the database device 28 and stored in the database device 28. Profiles are accumulated. Further, the candidate is evaluated based on the accumulated sensitivity profile, and an appropriate combination of candidates and the evaluation value are output to the output device 33.

  And in this case, when working or training as usual, the candidate's biometric information can be obtained and a sensitivity profile can be obtained, so there is no need for special preparation such as questions and questionnaires. , You can get more realistic results.

Other In the above, as a sensor for detecting the biological information of the candidate, in addition to the above, a vibration gyroscope and an acceleration sensor for detecting the body motion of the candidate, and a blink sensor for detecting the number of blinks per unit time of the candidate A pupil diameter sensor that detects a change in the pupil diameter of the candidate, a gaze sensor that detects the gaze direction of the candidate, and the like can be used.

  In the above-described apparatus, the circuits 26A to 26N, 27A to 27N, 31, and 32 can also be realized by software executed by a microcomputer. Further, in the above description, the sensitivity profiles of a plurality of candidates are acquired at the same time, but can be acquired separately one by one.

[List of abbreviations used in this specification]
HDD: Hard Disk Drive

It is a systematic diagram showing one embodiment of the present invention. It is a systematic diagram which shows the other form of this invention.

Explanation of symbols

  1A to 1N: Candidate, 10 ... Presentation device, 11 ... Screen, 12 Video projector, 14 ... Signal source, 15 ... Control device, 21-25 ... Sensor, 26A-26N ... Pre-processing circuit, 27A-27N ... Sensitivity profile Generation circuit 28 ... Database device 31 ... Correlation detection circuit 32 ... Evaluation circuit 33 ... Output device

Claims (5)

When calling a candidate for a team or group member as a candidate,
A means of providing an event;
A sensor for detecting the biometric information of the candidate for the event;
A circuit for processing the detection output of the sensor to extract data indicating a temporal change in the emotion of the candidate;
A data collection device comprising: a database device that stores data indicating the time change in a database together with data indicating the candidate and the event. When calling a candidate for a team or group member as a candidate,
A means of providing an event;
A sensor for detecting the biometric information of the candidate for the event;
A circuit for processing the detection output of the sensor to extract data indicating a temporal change in the emotion of the candidate;
A database device that accumulates data indicating the time change in a database together with data indicating the candidate and the event, and
Among the data indicating the time change stored in the database device, a correlation detection circuit for detecting correlation with respect to data of a plurality of candidates,
An evaluation circuit for evaluating the detection output of the correlation detection circuit;
An output device that outputs an evaluation result of the evaluation circuit. In the data collection device according to claim 1 or 2,
The data collecting apparatus according to claim 1, wherein the event providing means is a means for providing video and audio. In the data collection device according to claim 1 or 2,
The means for providing the event is a data collection device designed to provide an actual work environment or training environment such as a plant control room or an aircraft flight simulator. In the data collection device according to claim 1, claim 2, claim 3 or claim 4,
The data collection device, wherein the sensor is at least one of an electroencephalograph, a skin conductivity sensor, a heart rate sensor, an electrocardiograph, a respiration sensor, a body motion sensor, a blink sensor, a pupil diameter sensor, and a gaze sensor.

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