WO2022209296A1 - Procédé de mesure d'empathie - Google Patents

Procédé de mesure d'empathie Download PDF

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Publication number
WO2022209296A1
WO2022209296A1 PCT/JP2022/004573 JP2022004573W WO2022209296A1 WO 2022209296 A1 WO2022209296 A1 WO 2022209296A1 JP 2022004573 W JP2022004573 W JP 2022004573W WO 2022209296 A1 WO2022209296 A1 WO 2022209296A1
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empathy
subject
degree
electroencephalogram data
data
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PCT/JP2022/004573
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English (en)
Japanese (ja)
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康 成瀬
加惠 中島
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国立研究開発法人情報通信研究機構
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Publication of WO2022209296A1 publication Critical patent/WO2022209296A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/372—Analysis of electroencephalograms
    • A61B5/374—Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves

Definitions

  • the present invention relates to an empathy measurement method.
  • Non-Patent Document 1 when 12 students who are taking a class are equipped with electroencephalographs and the brain activities of 12 students are measured at the same time during the class, , has been shown to synchronize brain waves among students.
  • cognitive empathy for the class was measured by having students answer a question sheet after finishing the class, and there was a correlation between the measured cognitive empathy and the degree of electroencephalogram synchrony. It is shown that there is
  • the conventional method of measuring empathy from electroencephalograms has the following problems.
  • the time synchronization accuracy of the electroencephalographs that are simultaneously measuring is low (on the order of several milliseconds).
  • the accuracy of the degree of synchronization that is used is lowered. Therefore, in the conventional method, after calculating the degree of synchrony between all pairs, the average value of the calculated degree of synchrony of all pairs is calculated, and the degree of empathy is derived from the calculated average value of the degree of synchrony. This was intended to improve the accuracy of empathy measurement. Therefore, the degree of empathy to be measured relates to all subjects, and it is difficult to accurately measure the degree of empathy between subjects in individual pairs.
  • the present invention has been made in view of such circumstances, and its purpose is to provide a technique for accurately measuring the degree of empathy between subjects from electroencephalograms.
  • the present invention adopts the following configuration in order to solve the above-mentioned problems.
  • the computer measures the first electroencephalogram data of the first subject and the second electroencephalogram data of the second subject while the computer is experiencing the content.
  • the first electroencephalogram data and the second electroencephalogram data are synchronized with an accuracy of less than 1000 microseconds, and between the step and the first electroencephalogram data and the second electroencephalogram data calculating a correlation; estimating a degree of empathy for the content between the first subject and the second subject based on the calculated correlation; and the estimated empathy and outputting information about the degree.
  • Electroencephalogram data synchronized with an accuracy of less than 1000 microseconds can accurately derive the degree of empathy for content between the first subject and the second subject.
  • Electroencephalogram data synchronized with an accuracy of less than 1000 microseconds can be obtained, for example, by applying the calibration method (time correction method) proposed in Japanese Patent Application Laid-Open No. 2016-057169 (Patent No. 6376911) to an electroencephalograph. can be done. Therefore, according to the said structure, the empathy degree with respect to the content between a 1st test subject and a 2nd test subject can be accurately measured from an electroencephalogram.
  • each of the first electroencephalogram data and the second electroencephalogram data is 1 to 1 on the frontal side of the head center of each of the first subject and the second subject.
  • First measurement data obtained by measuring brain waves in a frequency band of 30 Hz may be included, and the empathy level may include a negative mood-related component. According to this configuration, it is possible to accurately measure the degree of empathy including the negative mood-related component for the content between the first subject and the second subject.
  • the first measurement data may be obtained by measuring brain waves in a frequency band of 8 to 12 Hz, and the components related to negative mood are anger, It may indicate a degree of confusion, depression and/or tension. According to this configuration, it is possible to accurately measure the degree of empathy for the content between the first subject and the second subject, which includes a component indicating at least one of anger, confusion, depression, and tension. can.
  • each of the first electroencephalogram data and the second electroencephalogram data is 1 to 1 on the occipital side of the head center of each of the first subject and the second subject.
  • Second measurement data obtained by measuring brain waves in a frequency band of 30 Hz may be included, and the empathy level may include a negative mood-related component. According to this configuration, it is possible to accurately measure the degree of empathy including the negative mood-related component for the content between the first subject and the second subject.
  • each of the first electroencephalogram data and the second electroencephalogram data is 8 to 8 on the occipital side of the head center of each of the first subject and the second subject.
  • Second measurement data obtained by measuring brain waves in a frequency band of 12 Hz may be included, and the level of empathy may include a component related to the level of comprehension of the content. According to this configuration, it is possible to accurately measure the degree of empathy including the component related to the degree of understanding of the content between the first subject and the second subject.
  • each of the first electroencephalogram data and the second electroencephalogram data is 1 to 1 on the occipital side of the head center of each of the first subject and the second subject. It may include second measurement data obtained by measuring brain waves in a frequency band of 30 Hz, 4 to 8 Hz, or 12 to 30 Hz, and the empathy level is a component related to the degree of arousal when experiencing the content. may contain According to this configuration, it is possible to accurately measure the degree of empathy including the component related to the degree of arousal to the content between the first subject and the second subject.
  • one aspect of the present invention may be an information processing device or an information processing system that realizes all or part of each of the above configurations. It may be a program, or a storage medium that stores such a program and is readable by a computer, other device, machine, or the like.
  • a computer-readable storage medium is a medium that stores information such as a program by electrical, magnetic, optical, mechanical, or chemical action.
  • FIG. 1 schematically illustrates an example of a scene to which the present invention is applied.
  • FIG. 2 schematically illustrates an example of the hardware configuration of the empathy measurement device according to the embodiment.
  • FIG. 3 schematically illustrates an example of the software configuration of the empathy measurement device according to the embodiment.
  • FIG. 4 is a flowchart illustrating an example of a processing procedure of the empathy level measuring device according to the embodiment.
  • FIG. 5 shows the result of calculating the correlation between the results of the questionnaire regarding the contents of each subject and the degree of synchrony of the electroencephalogram data.
  • FIG. 6 shows the result of calculating the correlation between the change in mood (response result of POMS2) and the degree of synchronism of electroencephalogram data due to content usage of each subject.
  • FIG. 1 schematically illustrates an example of a scene to which the present invention is applied.
  • the empathy measurement device 1 is a computer configured to acquire electroencephalogram data of a plurality of subjects and derive empathy between the subjects from the acquired electroencephalogram data.
  • the empathy measuring device 1 measures the first electroencephalogram data 31 of the first subject S1 and the second electroencephalogram data 32 of the second subject S2 while experiencing the content. to get The first electroencephalogram data 31 and the second electroencephalogram data 32 are synchronized with an accuracy of less than 1000 microseconds.
  • the first electroencephalogram data 31 and the second electroencephalogram data 32 may be measured using an electroencephalograph E.
  • FIG. The type of electroencephalograph E is not particularly limited as long as it can measure electroencephalograms of the subject, and may be appropriately selected according to the embodiment.
  • the electroencephalograph E may be a wired or wireless electroencephalograph that employs dish electrodes coated with conductive gel, dry electrodes that do not require gel, or the like.
  • the type of content may not be particularly limited as long as it can be shared by multiple people, and may be appropriately selected according to the embodiment.
  • the content may be moving images such as movies, lecture videos, virtual reality, and the like.
  • the content may be events such as classes, plays, concerts, sporting events, games, and the like.
  • the first subject S1 and the second subject S2 are allowed to experience common content.
  • each subject (S1, S2) may experience the target content at the same time.
  • each subject (S1, S2) may experience the target content at different times.
  • EEG data is a time-series measurement of electrical brain activity. That is, electroencephalogram data is generated by plotting measured values of brain activity in time series.
  • “Synchronized with an accuracy of less than 1000 microseconds” means that the sample points (measurement time of the electroencephalograph E) are synchronized with an accuracy of less than 1000 microseconds in a plurality of electroencephalographs, or the sample points of the electroencephalographs and the time in the content are synchronized with an accuracy of less than 1000 microseconds.
  • a sample point (measurement point) is a point where a measured value is plotted.
  • the second synchronized when the first subject S1 and the second subject S2 experience the content at the same time and the electroencephalograms of the first subject S1 and the second subject S2 are measured at the same time, for example , by adjusting the timing of the sample point (measurement time of the electroencephalograph E) according to the calibration method proposed in Japanese Patent Application Laid-Open No. 2016-057169 (Patent No. 6376911), the second synchronized with an accuracy of less than 1000 microseconds. 1 electroencephalogram data 31 and 2nd electroencephalogram data 32 can be acquired.
  • the content and each electroencephalogram data (31, 32) are separated by less than 1000 microseconds by the above calibration method. Synchronize with precision. This makes it possible to acquire the first electroencephalogram data 31 and the second electroencephalogram data 32 synchronized with an accuracy of less than 1000 microseconds based on the time in the content.
  • the content be reproducible at a given time and with a given content, such as moving images.
  • the empathy measurement device 1 calculates the correlation (hereinafter also referred to as "synchronization") between the first electroencephalogram data 31 and the second electroencephalogram data 32.
  • the empathy level measuring device 1 estimates the empathy level for the content between the first subject S1 and the second subject S2 based on the calculated correlation.
  • the degree of empathy refers to the degree of similarity in brain activity resulting from, for example, understanding, interest, arousal, and mood changes between pairs.
  • the higher the correlation between the first electroencephalogram data 31 and the second electroencephalogram data 32 the higher the empathy value may be evaluated, and the lower the correlation, the lower the empathy value may be evaluated.
  • the degree of empathy may be represented by a continuous value, or may be represented by a discrete value (eg, 3-level evaluation, 5-level evaluation, 10-level evaluation, etc.).
  • the empathy level measuring device 1 outputs information about the estimated empathy level.
  • the content between the first subject S1 and the second subject S2 is Derive the degree of empathy for If they are synchronized with an accuracy of less than 1000 microseconds, the correlation between the first electroencephalogram data 31 and the second electroencephalogram data 32 can be accurately calculated. Therefore, according to the present embodiment, it is possible to accurately measure the degree of empathy for content between the first subject S1 and the second subject S2 from the electroencephalograms without averaging for all subjects.
  • FIG. 2 schematically illustrates an example of the hardware configuration of the empathy measurement device 1 according to this embodiment.
  • the empathy measurement device 1 according to this embodiment is a computer to which a control unit 11, a storage unit 12, an external interface 13, an input device 14, an output device 15, and a drive 16 are electrically connected.
  • the external interface is described as "external I/F”.
  • the control unit 11 includes a CPU (Central Processing Unit), which is a hardware processor, RAM (Random Access Memory), ROM (Read Only Memory), etc., and is configured to execute information processing based on programs and various data. be.
  • a CPU is an example of a processor resource.
  • the storage unit 12 is an example of a memory resource, and is composed of, for example, a hard disk drive, a solid state drive, or the like. In this embodiment, the storage unit 12 stores various information such as the measurement program 81 .
  • the measurement program 81 performs information processing (FIG. 4 to be described later) for deriving the degree of empathy for the content between the first subject S1 and the second subject S2 from the first electroencephalogram data 31 and the second electroencephalogram data 32. It is a program to be executed by the measuring device 1 .
  • the measurement program 81 contains a series of instructions for the information processing. Details will be described later.
  • the external interface 13 is, for example, a USB (Universal Serial Bus) port, a dedicated port, etc., and is an interface for connecting with an external device.
  • the type and number of external interfaces 13 may be arbitrarily selected.
  • the empathy measurement device 1 may be connected to the electroencephalograph E via the external interface 13 . Note that the method of connecting the empathy measurement device 1 and the electroencephalograph E may not be limited to such an example.
  • the empathy measurement device 1 and the electroencephalograph E each have a communication interface (eg, Wifi (registered trademark) module, Bluetooth (registered trademark) module, etc.) If provided, the empathy measurement device 1 and the electroencephalograph E may be connected via a network.
  • a communication interface eg, Wifi (registered trademark) module, Bluetooth (registered trademark) module, etc.
  • the input device 14 is, for example, a device for performing input such as a mouse, keyboard, and microphone.
  • the output device 15 is, for example, a device for outputting such as a display and a speaker.
  • the input device 14 and the output device 15 may be integrally configured by a touch panel display. The operator can operate the empathy measurement device 1 by using the input device 14 and the output device 15 .
  • the drive 16 is, for example, a CD drive, a DVD drive, etc., and is a drive device for reading various information such as programs stored in the storage medium 91 .
  • the storage medium 91 stores information such as programs by electrical, magnetic, optical, mechanical or chemical action so that computers, other devices, machines, etc. can read various information such as programs. It is a medium that accumulates by The measurement program 81 may be stored in the storage medium 91 .
  • the empathy measurement device 1 may acquire the measurement program 81 from the storage medium 91 .
  • a disk-type storage medium such as a CD or DVD is illustrated.
  • the type of storage medium 91 is not limited to the disk type, and may be other than the disk type.
  • a semiconductor memory such as a flash memory can be cited.
  • the type of drive 16 may be arbitrarily selected according to the type of storage medium 91 .
  • control unit 11 may include multiple hardware processors.
  • the hardware processor may consist of a microprocessor, a field-programmable gate array (FPGA), or the like.
  • the storage unit 12 may be configured by the RAM and ROM included in the control unit 11, or may be configured by other computers (for example, mobile terminals such as smartphones and tablet PCs (Personal Computers)).
  • At least one of the external interface 13, the input device 14, the output device 15 and the drive 16 may be omitted.
  • the degree of empathy measurement device 1 may be composed of a plurality of computers. In this case, the hardware configuration of each computer may or may not match.
  • the empathy measurement device 1 is an information processing device designed exclusively for the provided service, a general-purpose server device, a desktop PC, a mobile terminal (for example, a mobile phone such as a smartphone, a tablet PC), etc. good too.
  • FIG. 3 schematically illustrates an example of the software configuration of the empathy measurement device 1 according to this embodiment.
  • the control unit 11 of the empathy measurement device 1 executes commands included in the measurement program 81 stored in the storage unit 12 by means of the CPU.
  • the empathy measurement device 1 according to the present embodiment operates as a computer including the data acquisition unit 111, the correlation calculator 112, the empathy estimation unit 113, and the output unit 114 as software modules.
  • the data acquisition unit 111 is configured to acquire the first electroencephalogram data 31 of the first subject S1 and the second electroencephalogram data 32 of the second subject S2 measured while experiencing the content.
  • the correlation calculator 112 is configured to calculate the correlation between the first electroencephalogram data 31 and the second electroencephalogram data 32 .
  • the empathy estimation unit 113 is configured to estimate the empathy for the content between the first subject S1 and the second subject S2 based on the calculated correlation.
  • the output unit 114 is configured to output information about the estimated empathy level.
  • each software module of the empathy measurement device 1 will be described in detail in the operation example described later.
  • an example in which each software module of the empathy measurement device 1 is implemented by a general-purpose CPU is described.
  • some or all of the software modules may be implemented by one or more dedicated processors.
  • the software configuration of the empathy measurement device 1 omission, replacement, and addition of software modules may be performed as appropriate according to the embodiment.
  • FIG. 4 is a flowchart showing an example of the processing procedure of the empathy measurement device 1 according to the present embodiment.
  • the processing procedure of the empathy level measuring device 1 described below is an example of the empathy level measuring method.
  • the processing procedure of the empathy degree measuring device 1 described below is merely an example, and each step may be changed as much as possible. Further, in the following processing procedures, steps may be omitted, replaced, or added as appropriate according to the embodiment.
  • Step S101 the control unit 11 operates as the data acquisition unit 111, and measures the first electroencephalogram data 31 of the first subject S1 and the second electroencephalogram data 31 of the second subject S2 while experiencing the content. Acquire electroencephalogram data 32 .
  • the first electroencephalogram data 31 and the second electroencephalogram data 32 may be appropriately generated so as to be synchronized with an accuracy of less than 1000 microseconds.
  • the first electroencephalogram data 31 and the second electroencephalogram data 32 may be synchronized with an accuracy of .
  • synchronization may be achieved between the first electroencephalogram data 31 and the second electroencephalogram data 32 via the target content with an accuracy of less than 1000 microseconds.
  • the route for acquiring data is not particularly limited, and may be appropriately selected according to the embodiment.
  • the control unit 11 may acquire the first electroencephalogram data 31 and the second electroencephalogram data 32 from the electroencephalograph E directly.
  • the control unit 11 may acquire at least one of the first electroencephalogram data 31 and the second electroencephalogram data 32 from another computer via a network, the storage medium 91, or the like.
  • At least one of the first electroencephalogram data 31 and the second electroencephalogram data 32 may be stored in a database.
  • the database may be held in any storage area such as the storage unit 12, the storage medium 91, or an external storage device, for example.
  • the external storage device may be, for example, a NAS (Network Attached Storage), an external storage device, or the like.
  • the position on the head where brain waves are measured may be determined as appropriate from the range where brain activity related to content can be measured.
  • the positions on the head where electroencephalograms are measured may include at least one of positions on the frontal side of the center of the head and positions on the occipital side of the center of the head.
  • the position on the frontal side of the center of the head may be, for example, Fz.
  • the position on the occipital side of the center of the head may be, for example, Oz.
  • the frequency band to be measured may be appropriately selected from bands in which brain activity related to content can be measured.
  • the frequency band measured may be 1-30 Hz.
  • Measuring brain waves in the frequency band of 1 to 30 Hz is at least one of 1 to 4 Hz (delta waves), 4 to 8 Hz (theta waves), 8 to 12 Hz (alpha waves), and 12 to 30 Hz (beta waves) and/or measuring electroencephalograms in the entire range of 1 to 30 Hz.
  • each of the first electroencephalogram data 31 and the second electroencephalogram data 32 measures electroencephalograms in a frequency band of 1 to 30 Hz on the frontal side of the center of the head of each of the first subject S1 and the second subject.
  • the first electroencephalogram data 31 and the second electroencephalogram data 32 are obtained by measuring electroencephalograms in a frequency band of 1 to 30 Hz on the occipital side of the head center of each of the first subject S1 and the second subject S1.
  • the frontal measurement data is an example of "first measurement data”
  • the occipital measurement data is an example of "second measurement data”.
  • the frontal measurement data included in each electroencephalogram data (31, 32) are electroencephalograms in the frequency band of 1 to 30 Hz, 1 to 4 Hz (delta waves), 4 to 8 Hz (theta waves), or 8 to 12 Hz (alpha waves). may be obtained by measuring The frontometry data may be obtained by measuring brain waves in the frequency band of 8-12 Hz (alpha waves). Frontometry data may be obtained by measuring brain waves in the frequency band of 4-8 Hz (theta waves) or 8-12 Hz (alpha waves). The frontometry data may be obtained by measuring brain waves in the entire 1-30 Hz or 4-8 Hz (theta) frequency band.
  • the occipital measurement data included in each electroencephalogram data (31, 32) may be obtained by measuring electroencephalograms in a frequency band of 1 to 30 Hz or 1 to 4 Hz (delta waves).
  • the occipital measurement data was obtained by measuring brain waves in the frequency bands of 1 to 30 Hz, 1 to 4 Hz (delta waves), 4 to 8 Hz (theta waves), or 12 to 30 Hz (beta waves).
  • you can Occipital measurement data may be obtained by measuring brain waves in the frequency bands of 1-30 Hz, 1-4 Hz (delta waves), or 12-30 Hz (beta waves).
  • the occipital measurement data may be obtained by measuring brain waves in the frequency band of 8-12 Hz (alpha waves).
  • Occipital measurement data may be obtained by measuring electroencephalograms in the frequency bands of 1-30 Hz, 4-8 Hz (theta waves), or 12-30 Hz (beta waves). Occipital measurement data may be obtained by measuring electroencephalograms in a frequency band of 1 to 30 Hz or 4 to 8 Hz (theta waves).
  • the control unit 11 may acquire electroencephalogram data from three or more subjects.
  • the control unit 11 extracts two subjects whose empathy is to be measured from three or more subjects (that is, generates a pair of subjects), and the extracted two subjects
  • the electroencephalogram data may be obtained as first electroencephalogram data 31 and second electroencephalogram data 32 . After acquiring the first electroencephalogram data 31 and the second electroencephalogram data 32, the control unit 11 proceeds to the next step S102.
  • Step S102 In step S ⁇ b>102 , the control section 11 operates as the correlation calculation section 112 and calculates the correlation between the first electroencephalogram data 31 and the second electroencephalogram data 32 .
  • the control unit 11 may calculate the correlation using an analysis method such as Pearson's correlation analysis, Spearman's correlation analysis, or canonical correlation analysis.
  • the control unit 11 may calculate a phase locking value (PLV) as the correlation. After calculating the correlation, the control unit 11 proceeds to the next step S103.
  • PLV phase locking value
  • step S103 the control unit 11 estimates the degree of empathy for the content between the first subject S1 and the second subject S2 based on the calculated correlation.
  • the control unit 11 estimates a higher empathy value as the calculated correlation is higher, and estimates a lower empathy value as the calculated correlation is lower.
  • the relationship between the correlation and the degree of empathy may be appropriately given according to the embodiment.
  • the relationship between correlation and empathy may be expressed by, for example, a predetermined rule, conditional expression, function expression, trained model obtained by machine learning, or the like.
  • the control unit 11 may derive the degree of empathy from the correlation by executing predetermined arithmetic processing based on the given relationship. In another example, the control unit 11 may employ the calculated correlation value as it is as the empathy value.
  • step S101 the control unit 11 controls the first electroencephalogram data 31 and the second electroencephalogram data 31 and the second electroencephalogram data respectively including measurement data of a specific frequency band measured in a specific range.
  • Data 32 may be obtained, and accordingly, in this step S103, empathy levels including specific components may be estimated.
  • each electroencephalogram data (31, 32) acquired in step S101 is obtained by measuring an electroencephalogram in a frequency band of 1 to 30 Hz on the frontal side of the center of the head of each subject (S1, S2). may include frontal measurement data obtained in . Accordingly, in this step S103, the control unit 11 may estimate the degree of empathy including components related to negative moods.
  • Each electroencephalogram data (31, 32) acquired in step S101 is 1 to 30 Hz on the frontal side of the center of the head of each subject (S1, S2), 1 to 4 Hz (delta wave), 4 to It may include frontal measurement data obtained by measuring brain waves in the frequency band of 8 Hz (theta waves) or 8-12 Hz (alpha waves).
  • the control unit 11 estimates the degree of empathy including, as components relating to negative mood, a component indicating at least one of depression (depression-depression) and overall negative mood. you can
  • Each electroencephalogram data (31, 32) acquired in step S101 is an electroencephalogram in a frequency band of 8 to 12 Hz (alpha waves) on the frontal side of the center of the head of each subject (S1, S2).
  • An empathy score may be estimated that includes components indicative of at least one degree of overall negative mood.
  • Each electroencephalogram data (31, 32) acquired in step S101 is 4 to 8 Hz (theta waves) or 8 to 12 Hz (alpha waves) on the frontal side of the center of the head of each subject (S1, S2).
  • Each electroencephalogram data (31, 32) acquired in step S101 is a frequency band of 1 to 30 Hz all or 4 to 8 Hz (theta wave) on the frontal side of the center of the head of each subject (S1, S2) may include frontal measurement data obtained by measuring brain waves of Accordingly, in step S103, the control unit 11 may estimate the degree of empathy including a component indicating the degree of interest in the content.
  • Each electroencephalogram data (31, 32) acquired in step S101 is obtained by measuring electroencephalograms in a frequency band of 1 to 30 Hz on the occipital side of the center of the head of each subject (S1, S2). may include occipital measurement data. Accordingly, in this step S103, the control unit 11 may estimate the degree of empathy including components related to negative moods.
  • Each electroencephalogram data (31, 32) acquired in step S101 is a frequency band of 1 to 30 Hz all or 1 to 4 Hz (delta wave) on the occipital side of the center of the head of each subject (S1, S2) may include occipital measurement data obtained by measuring brain waves of Accordingly, in step S103, the control unit 11 selects at least one of confusion (confusion-bewilderment), fatigue (fatigue-lethargy), discomfort (comfort/discomfort), and overall negative mood as components related to the negative mood.
  • a degree of empathy may be estimated that includes components that indicate either degree.
  • Each electroencephalogram data (31, 32) acquired in step S101 above is 1 to 30 Hz on the occipital side of the center of the head of each subject (S1, S2), 1 to 4 Hz (delta wave), 4 to Occipital measurement data obtained by measuring brain waves in the frequency band of 8 Hz (theta waves) or 12-30 Hz (beta waves) may be included.
  • the control unit 11 may estimate the degree of empathy including a component indicating the degree of fatigue (fatigue-lethargy) as a component relating to negative mood.
  • Each electroencephalogram data (31, 32) acquired in step S101 is 1 to 30 Hz, 1 to 4 Hz (delta wave), or 12 Hz on the occipital side of the center of the head of each subject (S1, S2).
  • Occipital measurement data obtained by measuring brain waves in the frequency band of ⁇ 30 Hz (beta waves) may be included.
  • the control unit 11 may estimate the degree of empathy including a component indicating the degree of confusion (confusion-bewilderment) as a component relating to negative mood.
  • Each electroencephalogram data (31, 32) acquired in step S101 is obtained by measuring electroencephalograms in a frequency band of 8 to 12 Hz (alpha waves) on the occipital side of the center of the head of each subject (S1, S2). may include occipital measurement data obtained by Accordingly, in step S103, the control unit 11 may estimate the degree of empathy including a component related to the degree of understanding of the content.
  • Each electroencephalogram data (31, 32) acquired in the above step S101 is a frequency band of 1 to 30 Hz all or 4 to 8 Hz (theta wave) on the occipital side of the center of the head of each subject (S1, S2) may include occipital measurement data obtained by measuring brain waves of Accordingly, in step S103, the control unit 11 may estimate the degree of empathy including a component related to the fun of the content.
  • control unit 11 After estimating the degree of empathy, the control unit 11 proceeds to the next step S104.
  • Step S104 the control unit 11 outputs information about the estimated degree of empathy.
  • the information output destination is not particularly limited, and may be appropriately selected according to the embodiment.
  • the output destination may be the RAM, the storage unit 12, the output device 15, an output device of another computer, or the like.
  • the information output format may be determined as appropriate according to the embodiment.
  • the control unit 11 may output the estimated degree of empathy as it is.
  • the control unit 11 may execute arbitrary information processing based on the obtained estimation result.
  • the control unit 11 may output the result of executing the information processing as the information regarding the estimated degree of empathy.
  • step S101 the control unit 11 acquires electroencephalogram data of three or more subjects, and through the processes in steps S102 and S103, pairs generated from three or more subjects You may estimate the degree of empathy for each.
  • the control unit 11 may extract one or more pairs having a high degree of empathy among the pairs whose degree of empathy is estimated, as an example of the arbitrary information processing.
  • One or more pairs with a high degree of empathy are the pairs from the top (the pair with the highest degree of empathy) to the n-th (n is a natural number of 1 or more) when arranged in order from the one with the highest degree of empathy, or the pair with the degree of empathy It may consist of pairs above or above the threshold.
  • the control unit 11 may output information indicating one or more extracted pairs with a high degree of empathy.
  • control unit 11 terminates the processing procedure according to this operation example.
  • the empathy measurement device 1 executes the series of processes of steps S101 to S103, thereby synchronizing the first electroencephalogram data 31 and the second electroencephalogram data 31 with an accuracy of less than 1000 microseconds.
  • the degree of empathy for the content between the first subject S1 and the second subject S2 is derived. If they are synchronized with an accuracy of less than 1000 microseconds, the correlation between the first electroencephalogram data 31 and the second electroencephalogram data 32 can be accurately calculated. Therefore, according to the present embodiment, it is possible to accurately measure the degree of empathy for content between the first subject S1 and the second subject S2 from the electroencephalograms without averaging for all subjects.
  • steps S102 and S103 specific components are extracted from the first electroencephalogram data 31 and the second electroencephalogram data 32, which respectively include measurement data in specific frequency bands measured in specific ranges. It is possible to accurately measure the degree of empathy including (for example, components related to negative mood).
  • each subject was gathered in a theater room, and the electroencephalogram of each subject was measured simultaneously while viewing the movie work.
  • a calibration method proposed in Japanese Patent Application Laid-Open No. 2016-057169 (Patent No. 6376911) was adopted as the synchronization method.
  • electroencephalogram data for each subject was obtained.
  • the degree of synchrony (correlation) of electroencephalogram data was calculated for each pair (21 pairs in the case of 7 subjects). Pearson's correlation analysis was adopted as a method for calculating the degree of synchrony.
  • each subject was asked to answer a questionnaire and a POMS2 test sheet after viewing the movie.
  • FIG. 5 shows the results of calculating the correlation between the results of questionnaires for each subject and the degree of synchrony of electroencephalogram data.
  • FIG. 6 shows the result of calculating the correlation between the answer result of POMS2 of each subject and the degree of synchrony of electroencephalogram data.
  • the degree of brain wave synchrony in the frequency bands of 1-30 Hz, 1-4 Hz (delta waves), 4-8 Hz (theta waves), and 8-12 Hz (alpha waves) measured on the frontal side is associated with depression (depressive -depression) and total negative mood, respectively.
  • Synchronization of brain waves in the 8-12 Hz (alpha wave) frequency band measured at the frontal side is anger (anger-hostility), confusion (confusion-bewilderment), depression (depression-depression), and tension (tension-anxiety). , and total negative mood.
  • Synchronization of brain waves in the frequency bands of 4-8 Hz (theta waves) and 8-12 Hz (alpha waves) measured on the frontal side was found to be significantly correlated with the degree of confusion (confusion - bewilderment).
  • the degree of brain wave synchrony in the 1 to 30 Hz and 4 to 8 Hz (theta waves) frequency bands measured on the frontal side has a significantly high correlation with the degree of interest in the content. I found out.
  • the degree of brain wave synchrony in the frequency bands of 1-30 Hz, 1-4 Hz (delta waves), 4-8 Hz (theta waves), and 12-30 Hz (beta waves) measured on the occipital side is associated with fatigue (fatigue-lethargy). ) and the correlation was found to be significantly high.
  • Synchronization of brain waves in the frequency bands of 1 to 30 Hz, 1 to 4 Hz (delta waves), and 12 to 30 Hz (beta waves) measured on the occipital side is significantly correlated with the degree of confusion (confusion - bewilderment). was found to be high.
  • the degree of brain wave synchrony in the frequency band of 8 to 12 Hz (alpha waves) measured on the occipital side has a significantly high correlation with the degree of comprehension of the content.
  • Synchronization of brain waves in the frequency bands of 1 to 30 Hz, 4 to 8 Hz (theta waves), and 12 to 30 Hz (beta waves) measured on the occipital side correlates with the degree of arousal when experiencing content. was found to be significantly higher.
  • the degree of brain wave synchrony in the 1 to 30 Hz and 4 to 8 Hz (theta wave) frequency bands measured on the occipital side has a significantly high correlation with the degree of interest in content.
  • the electroencephalogram data synchronized with an accuracy of less than 1000 microseconds can accurately measure the degree of empathy for the content between the first subject and the second subject.
  • a specific component of empathy can be measured from the correlation (synchronization) of a specific frequency band of electroencephalogram data measured in a specific range.
  • 1 ... empathy degree measuring device 11... control unit, 12... storage unit, 13... external interface, 14... input device, 15... output device, 16... drive, 81... measurement program, 91... storage medium, 111 ... data acquisition unit, 112 ... correlation calculation unit, 113 ... empathy degree estimation unit, 114 ... output unit, E... electroencephalograph, S1... first subject, S2... second subject

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Abstract

Dans le procédé de mesure d'empathie selon un aspect de la présente invention, un ordinateur acquiert de premières données d'EEG d'un premier sujet et des deuxièmes données d'EEG d'un deuxième sujet, synchronisées dans 1000 microsecondes, calcule un degré de corrélation entre les premières données d'EEG et les deuxièmes données d'EEG, et estime, sur la base du degré de corrélation calculé, un degré d'empathie entre le premier sujet et le deuxième sujet par rapport à un contenu.
PCT/JP2022/004573 2021-03-31 2022-02-07 Procédé de mesure d'empathie WO2022209296A1 (fr)

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WO2024100860A1 (fr) * 2022-11-10 2024-05-16 日本電信電話株式会社 Dispositif, procédé et programme de présentation

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