Information processing apparatus, information processing method, and information processing program

Abstract

To provide an information processing apparatus capable of evaluating human emotions in a scene assuming an actual environment.SOLUTION: An information processing apparatus includes a generation unit configured to calculate a difference between first biological index data and second biological index data of a user acquired before and during trial listening of a first background sound to generate first difference biological index data, and an evaluation unit configured to evaluate an unpleasant feeling of the user based on the first difference biological index data.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] There are several technologies disclosed that perform sensory evaluations of the human body when exposed to noise. Patent Document 1 discloses a technology that detects whether sound or vibration has occurred and evaluates the sound or vibration based on changes in biosignals at that time. Patent Document 2 also discloses a technology related to a method for evaluating changes in a person's psychological state caused by things that stimulate the five senses, such as music, using a less biased method. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 8-317919 [Patent Document 2] Japanese Patent Application Publication No. 2024-53804 Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional methods, evaluation is often performed by listening to only the target sound, and it is thought that this conventional method can evaluate human emotions in situations such as listening to music, but in real environments such as outdoors, in a cafe, inside a car, etc., various sounds are mixed together. Conventional methods do not assume conditions that simulate these real environments, and therefore cannot be said to be methods that fully consider the actual amount of auditory stimulation that the human body receives.

[0005] The present disclosure has been made in consideration of the above points, and aims to provide an information processing device, an information processing method, and an information processing program that are capable of evaluating human emotions in scenes that simulate real environments. [Means for solving the problem]

[0006] According to an aspect of the present disclosure, there is provided an information processing device including: a generation unit that calculates a difference between first biometric data and second biometric data of a user acquired before and during listening to a first background sound, respectively, to generate first differential biometric data; and an evaluation unit that evaluates the user's unpleasant feelings based on the first differential biometric data.

[0007] The generation unit may further calculate a difference between the user's third bioindicator data and fourth bioindicator data acquired before and during listening to the second background sound, respectively, to generate second differential bioindicator data, and the evaluation unit may evaluate the user's unpleasant feelings based on the first differential bioindicator data and the second differential bioindicator data.

[0008] The information processing device may further include a calculation unit that calculates a space design index based on the unpleasant feeling evaluated by the evaluation unit.

[0009] The first biometric data and the second biometric data may be data obtained from at least one of electrocardiogram, pulse wave, respiration, electromyogram, and electroencephalogram.

[0010] The evaluation unit may evaluate the user's discomfort using the first difference bioindicator data as the difference between at least one of power spectral density, RRI, heart rate, respiratory rate, SDNN, RMSSD, Lorenz plot, and wavelet analysis of a specific frequency band obtained from the first bioindicator data and the second bioindicator data.

[0011] According to another aspect of the present disclosure, there is provided an information processing method in which a processor calculates a difference between first biometric data and second biometric data of a user acquired before and during listening to a first background sound, respectively, to generate first difference biometric data, and performs a process of evaluating the user's unpleasant feelings based on the first difference biometric data.

[0012] According to another aspect of the present disclosure, there is provided an information processing program that causes a computer to calculate a difference between first biometric data and second biometric data of a user acquired before and during listening to a first background sound, respectively, to generate first difference biometric data, and to execute a process of evaluating the user's unpleasant feelings based on the first difference biometric data. [Effects of the Invention]

[0013] According to the present disclosure, it is possible to provide an information processing device, an information processing method, and an information processing program that are capable of evaluating human emotions in a scene that simulates a real environment. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a diagram illustrating an overview of an information processing device 10 according to an embodiment of the disclosed technology. [Figure 2] FIG. 2 is a block diagram showing a hardware configuration of the information processing device. [Figure 3] FIG. 2 is a block diagram illustrating an example of a functional configuration of an information processing device. [Figure 4] FIG. 10 is a diagram showing an example of the relationship between differential biometric data and evaluation by an evaluation unit. [Figure 5] 10 is a flowchart showing a flow of information processing by an information processing device. [Figure 6] 10 is a flowchart showing a flow of information processing by an information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0015] An example of an embodiment of the present disclosure will be described below with reference to the drawings. The same reference numerals are used throughout the drawings to designate identical or equivalent components and parts. The dimensional proportions of the drawings are exaggerated for illustrative purposes and may differ from the actual proportions.

[0016] FIG. 1 is a diagram illustrating an overview of an information processing device 10 according to this embodiment. The information processing device 10 according to this embodiment is a device for evaluating unpleasant emotions, such as stress, in humans due to difficulty in hearing conversations and the like. The information processing device 10 according to this embodiment stores biometric data of a subject in order to evaluate unpleasant emotions in humans. The biometric data of the subject includes biometric data before background sounds, such as noise, are superimposed on audio, such as reading sounds, conversation sounds, and speech sounds, and biometric data while background sounds, such as noise, are superimposed on the audio. At this time, the subject is given, for example, a test to hear conversation sounds. The unpleasant emotions in humans include, for example, stress.

[0017] The information processing device 10 according to this embodiment can evaluate unpleasant feelings such as stress in a person caused by background sound of a subject by performing analysis processing using biological index data of the subject.

[0018] FIG. 2 is a block diagram showing the hardware configuration of the information processing device 10. As shown in FIG.

[0019] 2, the information processing device 10 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a storage 14, an input unit 15, a display unit 16, and a communication interface (I / F) 17. Each component is connected to each other via a bus 19 so as to be able to communicate with each other.

[0020] The CPU 11 is a central processing unit that executes various programs and controls each component. That is, the CPU 11 reads programs from the ROM 12 or storage 14 and executes the programs using the RAM 13 as a work area. The CPU 11 controls the above components and performs various arithmetic processing in accordance with the programs recorded in the ROM 12 or storage 14. In this embodiment, the ROM 12 or storage 14 stores an information processing program for evaluating unpleasant emotions such as a person's sense of stress.

[0021] The ROM 12 stores various programs and various data. The RAM 13 temporarily stores programs or data as a working area. The storage 14 is configured with a storage device such as an HDD (Hard Disk Drive), SSD (Solid State Drive), or flash memory, and stores various programs including the operating system and various data.

[0022] The input unit 15 includes a pointing device such as a mouse and a keyboard, and is used to perform various inputs.

[0023] The display unit 16 is, for example, a liquid crystal display, and displays various information. The display unit 16 may also function as the input unit 15 by adopting a touch panel system.

[0024] The communication interface 17 is an interface for communicating with other devices, and uses standards such as Ethernet (registered trademark), FDDI, and Wi-Fi (registered trademark).

[0025] When executing the above information processing program, the information processing device 10 uses the above hardware resources to realize various functions. The functional configuration realized by the information processing device 10 will be described.

[0026] FIG. 3 is a block diagram showing an example of the functional configuration of the information processing device 10. As shown in FIG.

[0027] 3, the information processing device 10 has, as functional components, an acquisition unit 101, a generation unit 102, an evaluation unit 103, and a calculation unit 104. Each functional component is realized by the CPU 11 reading and executing an information processing program stored in the ROM 12 or the storage 14.

[0028] The acquisition unit 101 acquires first biometric data, which is biometric data of the user acquired before listening to the first background sound, and second biometric data, which is biometric data of the user acquired while listening to the first background sound. The acquisition unit 101 also acquires third biometric data, which is biometric data of the user acquired before listening to the second background sound, and fourth biometric data, which is biometric data of the user acquired while listening to the second background sound. Each piece of biometric data acquired by the acquisition unit 101 is recorded in, for example, storage 14. Each background sound is, for example, noise inside the vehicle cabin when a sound including 250 Hz to 1 kHz is played from outside the vehicle. Furthermore, each background sound is, for example, noise inside a room when a sound including 250 Hz to 1 kHz is played from outside a room such as a conference room. Examples of sounds including 250 Hz to 1 kHz include conversation sounds, the sound of a car running, the sound of a train running, and the sound of an airplane flying, but the types of background sounds are not limited to these examples. The acquiring unit 101 may also acquire biometric data obtained by having the user listen to different background sounds by changing the volume of the same type of background sound. Alternatively, background noise in a space where no noise is present may be used as the background sound.

[0029] Here, each biometric data is data obtained from at least one biometric signal of electrocardiogram, pulse wave, respiration, electromyogram, or electroencephalogram. Each biometric data is data obtained, for example, by the power spectral density, RRI, heart rate, respiration rate, SDNN, RMSSD, Lorenz plot, or the like, of a specific frequency band of the biometric signal. For example, if the biometric signal data is electrocardiogram or pulse wave, the interval between the R wave of a heartbeat and the adjacent R wave (RR interval; RRI) may be used as the biometric data. For example, if the biometric signal data is respiration, the average respiration rate over a specific time period may be used as the biometric data. For example, if the biometric signal data is electromyogram, the average amplitude over a specific time period may be used as the biometric data. For example, if the biometric signal data is electroencephalogram, the power spectral density of the alpha band obtained by Fourier transforming time-series data over a specific period may be used as the biometric data. In this embodiment, the user is asked to rest for a predetermined time (e.g., 3 minutes) without background sounds being played, and the user's biometric data for that time period is acquired. The biometric data acquired here corresponds to the first biometric data and third biometric data described above. Then, with the background sounds superimposed on the user's voice for a predetermined time (for example, 6 minutes), the user's biometric data for that time period is acquired. The biometric data acquired here corresponds to the second biometric data and fourth biometric data described above. The distance between the user and the speaker that outputs the voice on which the background sounds are superimposed is, for example, about 1.6 meters. The distance between the user and the speaker, the output amount from the speaker, etc. may be set according to the actual environment to be evaluated.

[0030] The acquiring unit 101 may acquire the results of a sensory test conducted on the user. For example, answers to questions such as "Was the recitation audio easy to hear?", "Were you able to concentrate on listening to the recitation audio?", and "Were you annoyed by the background sounds?" may be acquired as the results of the sensory test. The answers to these questions may be in a format that allows the user to select which of a predetermined number of levels, for example, seven levels, they were at.

[0031] The generating unit 102 generates differential bioindicator data for each piece of bioindicator data acquired by the acquiring unit 101. Specifically, the generating unit 102 calculates the difference between the first bioindicator data and the second bioindicator data to generate first differential bioindicator data. The generating unit 102 also calculates the difference between the third bioindicator data and the fourth bioindicator data to generate second differential bioindicator data. As described above, each piece of bioindicator data is data obtained, for example, from a power spectral density, RRI, heart rate, respiratory rate, SDNN, RMSSD, Lorenz plot, or the like of a specific frequency band of a biosignal. Therefore, the generating unit 102 generates, as the first differential bioindicator data and the second differential bioindicator data, at least one difference between the power spectral density, RRI, heart rate, respiratory rate, SDNN, RMSSD, Lorenz plot, or the like of a specific frequency band obtained from the first bioindicator data and the second bioindicator data, and the third bioindicator data and the fourth bioindicator data.

[0032] The evaluation unit 103 evaluates the unpleasant emotion of the user on which the bioindicator data is based, based on the differential bioindicator data generated by the generation unit 102. Specifically, the evaluation unit 103 evaluates the unpleasant emotion of the user while listening to the first background sound, based on the first differential bioindicator data generated by the generation unit 102. For example, when an electrocardiogram is used as the bioindicator data, the evaluation unit 103 evaluates that the more negative the value of the first differential bioindicator data is, the more strongly the unpleasant emotion is inferred, and the more positive the value of the differential bioindicator data is, the more the emotion other than unpleasant emotion is inferred.

[0033] Furthermore, the evaluation unit 103 evaluates the user's unpleasant feeling while listening to the second background sound, based on the second differential bioindicator data generated by the generation unit 102. When evaluating the user's unpleasant feeling, the evaluation unit 103 may evaluate the user's unpleasant feeling while a certain background sound is being played, using an average value of differential bioindicator data generated from bioindicator data obtained from multiple biosignals of the user before and while the certain background sound is being played.

[0034] As described above, each bioindicator data is data obtained by, for example, the power spectral density of a specific frequency band of a biosignal, RRI, heart rate, respiratory rate, SDNN, RMSSD, Lorenz plot, etc. Therefore, the evaluation unit 103 evaluates the user's discomfort using, as the first difference bioindicator data and the second difference bioindicator data, at least any one difference of the power spectral density of a specific frequency band, RRI, heart rate, respiratory rate, SDNN, RMSSD, Lorenz plot obtained from the first bioindicator data and the second bioindicator data, and the third bioindicator data and the fourth bioindicator data.

[0035] The difference calculated from the acquired biometric data depends on the biometric used, and is either the value obtained by subtracting the biometric data obtained from the biometric signal when the first background sound is not playing from the biometric data obtained from the biometric signal when the first background sound is playing, or the value obtained by subtracting the biometric data obtained from the biometric signal when the first background sound is not playing from the biometric data obtained from the biometric signal when the first background sound is playing.

[0036] As an example, an evaluation example using an electrocardiogram as the biosignal will be shown. The evaluation unit 103 evaluates the user's unpleasant feeling using, as bioindicator data, first difference bioindicator data generated by the generation unit 102 from RRI, which is time-series data of electrocardiogram fluctuations. Here, the more positive the first difference bioindicator data indicates, the more the evaluation unit 103 evaluates that the background sound is less unpleasant to the user, and the more negative the first difference bioindicator data indicates, the more the evaluation unit 103 evaluates that the background sound is more unpleasant to the user. In other words, the value obtained by subtracting the bioindicator data obtained from the electrocardiogram when the first background sound is not being played from the bioindicator data obtained from the electrocardiogram when the first background sound is being played is negative, and the larger the negative value, the more the evaluation unit 103 evaluates that the first background sound is more unpleasant to the user.

[0037] Even when other biometric data is used, the evaluation unit 103 can similarly evaluate the user's unpleasant feeling. For example, when the biometric data is a respiratory rate obtained from breathing, the value obtained by subtracting the biometric data obtained from breathing when the first background sound is playing from the biometric data obtained from breathing when the first background sound is not playing is negative, and the evaluation unit 103 evaluates that the first background sound is more unpleasant to the user as the value becomes larger in the negative direction. Also, when the biometric data is an RRI obtained from a pulse wave, the value obtained by subtracting the biometric data obtained from pulse waves when the first background sound is playing from the biometric data obtained from pulse waves when the first background sound is not playing is negative, and the evaluation unit 103 evaluates that the first background sound is more unpleasant to the user as the value becomes larger in the negative direction. Furthermore, for example, if the bioindicator data is amplitude obtained from electromyography, the value obtained by subtracting the bioindicator data obtained from electromyography when the first background sound is playing from the bioindicator data obtained from electromyography when the first background sound is not playing is negative, and the larger the negative value, the more uncomfortable the evaluation unit 103 evaluates the first background sound to be. Furthermore, for example, if the bioindicator data is power spectral density of the alpha wave band obtained from electroencephalograms, the value obtained by subtracting the bioindicator data obtained from electroencephalograms when the first background sound is playing from the bioindicator data obtained from electroencephalograms when the first background sound is not playing is negative, and the larger the negative value, the more uncomfortable the evaluation unit 103 evaluates the first background sound to be.

[0038] Fig. 4 is a diagram showing an example of the relationship between differential bioindicator data and the evaluation by the evaluation unit 103. Fig. 4 shows a graph of differential bioindicator data calculated from bioindicator data obtained from electrocardiogram data obtained before and during the playback of two background sounds A and B. Fig. 4 shows a negative index for background sound A and a positive index for background sound B. Therefore, when listening in an environment with background sound A, the evaluation unit 103 evaluates that a very strong unpleasant emotion is inferred from the negative value shown, and when listening in an environment with background sound B, the evaluation unit 103 evaluates that an emotion other than unpleasant is inferred from the positive value shown.

[0039] In this embodiment, the evaluation unit 103 can evaluate the user's unpleasant feeling based only on the first difference bioindicator data. However, in order to accurately evaluate the user's unpleasant feeling, the evaluation unit 103 may evaluate the user's unpleasant feeling based not only on the first difference bioindicator data but also on the second difference bioindicator data. Specifically, the evaluation unit 103 may evaluate the user's unpleasant feeling based on a comparison between the first difference bioindicator data and the second difference bioindicator data. If the first difference bioindicator data is larger than the second difference bioindicator data, the evaluation unit 103 can evaluate that the first background sound, which is the basis of the first difference bioindicator data, is a better environment. If the second difference bioindicator data is larger than the first difference bioindicator data, the evaluation unit 103 can evaluate that the second background sound, which is the basis of the second difference bioindicator data, is a better environment.

[0040] That is, by comparing first differential bioindicator data, which is the difference between bioindicator data obtained from an electrocardiogram when the first background sound is not being played and bioindicator data obtained from an electrocardiogram when the first background sound is being played, with second differential bioindicator data, which is the difference between bioindicator data obtained from an electrocardiogram when the second background sound is not being played and bioindicator data obtained from an electrocardiogram when the second background sound is being played, if the first differential bioindicator data is greater than the second differential bioindicator data, the evaluation unit 103 can evaluate that the first background sound on which the first differential bioindicator data is based is a better environment.

[0041] The calculation unit 104 calculates a space design index based on the user's unpleasant feeling toward the background sound evaluated by the evaluation unit 103. The space design index calculated here is an index that enables feedback on how to improve the acoustic characteristics of the space. The calculation unit 104 calculates the space design index in a predetermined number of stages, for example, three stages.

[0042] For example, if the evaluation unit 103 evaluates that the user's discomfort with the background sound is low, for example, if the first difference biometric index data is higher than a predetermined threshold, the calculation unit 104 predicts that the acoustic characteristics of the evaluated space are good, and therefore calculates the space design index to be 3.

[0043] For example, if the evaluation unit 103 evaluates that the user's discomfort with the background sound is moderate, for example, if the first difference biometric index data is within a predetermined range, the calculation unit 104 predicts that the acoustic characteristics of the evaluated space are average, and therefore calculates the space design index to be 2.

[0044] For example, if the evaluation unit 103 evaluates that the user feels a high level of discomfort with the background sound, for example, if the first difference biometric index data is lower than a predetermined threshold, the calculation unit 104 predicts that there is room for improvement in the acoustic characteristics of the evaluated space, and calculates the space design index to be 1. If the space design index is 1, it is necessary to take measures to improve the acoustic characteristics of the space and make the space design index 2 or higher. It is desirable to install sound-absorbing materials in the space to reduce the reverberation time, or to install sound-insulating materials in the space to reduce the sound pressure level in a specific frequency band.

[0045] Next, the operation of the information processing device 10 will be described.

[0046] Fig. 5 is a flowchart showing the flow of information processing by the information processing device 10. The CPU 11 reads out an information processing program from the ROM 12 or the storage 14, deploys it in the RAM 13, and executes it, thereby performing information processing. The flowchart shown in Fig. 5 shows the flow of information processing when evaluating the user's unpleasant emotion from biometric data obtained by having the user listen to a sound on which a first background sound is superimposed.

[0047] In step S101, the CPU 11 acquires first biometric data, which is biometric data of the user acquired before listening to the first background sound, and second biometric data, which is biometric data of the user acquired while listening to the first background sound.

[0048] Following step S101, the CPU 11 calculates the difference between the first bioindicator data and the second bioindicator data in step S101 to generate first difference bioindicator data.

[0049] Following step S102, the CPU 11 evaluates the user's unpleasant emotion based on the first differential bioindicator data in step S103. For example, when the first differential bioindicator data indicates a negative value, the CPU 11 evaluates that it is inferred that the user is experiencing a very strong unpleasant emotion, and when the first differential bioindicator data indicates a positive value, the CPU 11 evaluates that it is inferred that the user is experiencing an emotion other than unpleasant emotion.

[0050] Fig. 6 is a flowchart showing the flow of information processing by the information processing device 10. The CPU 11 reads out an information processing program from the ROM 12 or the storage 14, deploys it in the RAM 13, and executes it, thereby performing information processing. The flowchart shown in Fig. 6 shows the flow of information processing when evaluating a user's unpleasant emotion from biometric data obtained by having the user listen to a sound on which a first background sound is superimposed and a sound on which a second background sound is superimposed.

[0051] In step S111, the CPU 11 acquires first biometric data, which is biometric data of the user acquired before listening to the first background sound, and second biometric data, which is biometric data of the user acquired while listening to the first background sound.

[0052] Following step S111, in step S112, the CPU 11 acquires third biometric data, which is biometric data of the user acquired before listening to the second background sound, and fourth biometric data, which is biometric data of the user acquired while listening to the second background sound.

[0053] Following step S112, in step S113, the CPU 11 calculates the difference between the first bioindicator data and the second bioindicator data to generate first difference bioindicator data.

[0054] Following step S113, in step S114, the CPU 11 calculates the difference between the third bioindicator data and the fourth bioindicator data to generate second difference bioindicator data.

[0055] Following step S114, in step S115, the CPU 11 evaluates the user's unpleasant feeling based on a comparison between the first differential bioindicator data and the second differential bioindicator data. If the first differential bioindicator data is greater than the second differential bioindicator data, the CPU 11 evaluates that the first background sound, which is the basis of the first differential bioindicator data, is a better environment. If the second differential bioindicator data is greater than the first differential bioindicator data, the CPU 11 evaluates that the second background sound, which is the basis of the second differential bioindicator data, is a better environment.

[0056] As described above, the information processing device 10 according to this embodiment evaluates an unpleasant feeling caused by background sound based on differential bioindicator data, which is the difference between the user's bioindicator data acquired before listening to the background sound and the user's bioindicator data acquired while listening to the background sound. By evaluating an unpleasant feeling caused by background sound based on the differential bioindicator data, the information processing device 10 according to this embodiment can evaluate a person's unpleasant feeling due to the difficulty in hearing conversations and the like caused by differences in the environment.

[0057] Although the embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, the technical scope of the present disclosure is not limited to such examples. It is clear that a person skilled in the art of the present disclosure can conceive of various modifications or alterations within the scope of the technical idea described in the claims, and it is understood that these modifications or alterations also naturally fall within the technical scope of the present disclosure.

[0058] Furthermore, the effects described in the above embodiments are explanatory or exemplary and are not limited to those described in the above embodiments. In other words, the technology according to the present disclosure may achieve other effects that are obvious to a person skilled in the art of the present disclosure from the description in the above embodiments, in addition to or instead of the effects described in the above embodiments.

[0059] In the above embodiments, the information processing performed by the CPU after reading the software (program) may be performed by various processors other than the CPU. Examples of such processors include programmable logic devices (PLDs) whose circuit configuration can be changed after fabrication, such as field-programmable gate arrays (FPGAs), and dedicated electrical circuits, such as application-specific integrated circuits (ASICs), which are processors with circuit configurations specifically designed to perform specific processing. The information processing may be performed by one of these processors, or by a combination of two or more processors of the same or different types (e.g., multiple FPGAs, or a combination of a CPU and an FPGA). The hardware structure of these processors is, more specifically, an electrical circuit that combines circuit elements such as semiconductor devices.

[0060] In addition, in each of the above embodiments, the information processing program is described as being pre-stored (installed) in a ROM or storage, but this is not limiting. The program may be provided in a form recorded on a non-transitory recording medium such as a CD-ROM (Compact Disk Read Only Memory), a DVD-ROM (Digital Versatile Disk Read Only Memory), or a USB (Universal Serial Bus) memory. The program may also be downloaded from an external device via a network. [Explanation of symbols]

[0061] 10. Information processing equipment 101 Acquisition Department 102 Generation part 103 Evaluation Department 104 Calculation Unit

Claims

1. a generation unit that calculates a difference between the first biometric data and the second biometric data of the user that are respectively acquired before and during listening to the first background sound, and generates first difference biometric data; an evaluation unit that evaluates an unpleasant feeling of the user based on the first difference biometric data; An information processing device comprising:

2. The generation unit further calculates a difference between third biometric data and fourth biometric data of the user acquired before and during listening to the second background sound, respectively, to generate second difference biometric data; The information processing apparatus according to claim 1 , wherein the evaluation unit evaluates the unpleasant feeling of the user based on a comparison between the first difference bioindicator data and the second difference bioindicator data.

3. The information processing device according to claim 1 , further comprising a calculation unit that calculates a space design index based on the unpleasant feeling evaluated by the evaluation unit.

4. The information processing apparatus according to claim 1 , wherein the first biological index data and the second biological index data are data obtained from at least one of electrocardiogram, pulse wave, respiration, electromyogram, and electroencephalogram.

5. 5. The information processing device according to claim 4, wherein the evaluation unit evaluates the user's discomfort based on the difference between at least one of a power spectral density, an RRI, a heart rate, a respiratory rate, an SDNN, an RMSSD, and a Lorenz plot of a specific frequency band obtained from the first bioindicator data and the second bioindicator data as the first difference bioindicator data.

6. The processor: calculating a difference between the first biometric data and the second biometric data of the user acquired before and during listening to the first background sound, respectively, to generate first difference biometric data; Evaluating the user's unpleasant feeling based on the first difference biometric data. A method for processing information.

7. On the computer, calculating a difference between the first biometric data and the second biometric data of the user acquired before and during listening to the first background sound, respectively, to generate first difference biometric data; Evaluating the user's unpleasant feeling based on the first difference biometric data. An information processing program that executes processing.

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