Information processing device, information processing method and information processing program

Abstract

To provide an information processing device, an information processing method and an information processing program for controlling content on the basis of respective states of a plurality of object persons and identification information.SOLUTION: An information processing device 100 includes an information acquisition unit 10 for acquiring respective brain wave information of a plurality of object persons to whom common content is provided, a content control unit 20 for controlling content on the basis of the respective brain wave information of the plurality of object persons and respective identification information of the plurality of object persons, and a state estimation unit 40 for estimating respective states of the plurality of object persons on the basis of the respective brain wave information of the plurality of object persons. The content control unit 20 controls the content on the basis of respective states of the plurality of object persons, and the identification information.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] Patent Document 1 describes that "it is possible to strengthen the behavior to be strengthened without making the user aware" (abstract). Patent Document 2 describes that "it realizes three-dimensional movement control of the avatar of the operator in the VR space" (abstract). Patent Document 3 describes that "a method and system for a brain-computer interface in a headset" (abstract). Patent Document 4 describes that "it is configured to monitor the state of an individual's brain" (abstract). Patent Document 5 describes that "it integrates real-time eye movement tracking with brain activity tracking" (abstract). Patent Document 6 describes that "it estimates expressions such as joy, anger, sorrow, and happiness that the user wants to express" (paragraph 0019). Patent Document 7 describes that "a brain-machine interface device for operating a plurality of devices to be operated using the brain waves of a user" (claim 1). Patent Document 8 describes that "a robot takes appropriate actions such as reflection" (abstract). [Prior Art Documents] [Patent Documents] [Patent Document 1] International Publication No. 2019 / 082687 [Patent Document 2] Japanese Unexamined Patent Application Publication No. 2022-020057 [Patent Document 3] Japanese Patent Application Publication No. 2022-509752 [Patent Document 4] Japanese Patent Application Publication No. 2021-511612 [Patent Document 5] Japanese Patent Application Publication No. 2021-502659 [Patent Document 6] Japanese Patent No. 6391465 [Patent Document 7] Japanese Patent No. 6067808 [Patent Document 8] Japanese Unexamined Patent Application Publication No. 2019-063905

Summary of the Invention

[0003] In a first aspect of the present invention, an information processing apparatus is provided. The information processing apparatus includes an information acquisition unit that acquires electroencephalogram information of each of a plurality of subjects for whom common content is provided, and a content control unit that controls the content based on the electroencephalogram information of each of the plurality of subjects and the identification information of each of the plurality of subjects.

[0004] The information processing apparatus may further include a state estimation unit that estimates the state of each of the plurality of subjects based on the electroencephalogram information of each of the plurality of subjects. The content control unit may control the content based on the state of each of the plurality of subjects and the identification information.

[0005] In any of the above information processing apparatuses, the information acquisition unit may further acquire biometric information of each of the plurality of subjects for whom the content is provided. The content control unit may control the content based on the electroencephalogram information and biometric information of each of the plurality of subjects and the identification information.

[0006] In any of the above information processing apparatuses, the information acquisition unit may further acquire electroencephalogram information before and during the provision of the content. The state estimation unit may estimate the state of each of the plurality of subjects based on the change from the electroencephalogram information before the provision of the content to the electroencephalogram information during the provision of the content and the biometric information.

[0007] In any of the above information processing apparatuses, the state estimation unit may estimate a state based on a change from a ratio of the amplitude of brain waves in a predetermined frequency band in the brain wave information before the content is provided to a ratio of the amplitude of brain waves in the predetermined frequency band in the brain wave information during the content is provided to the total amplitude, and a ratio of the magnitude of the first power spectrum to the magnitude of the second power spectrum in the heartbeat of the subject. The total amplitude is the sum of the amplitudes of alpha waves, beta waves, theta waves, gamma waves, and delta waves. The frequency band of the second power spectrum is a higher frequency band than the frequency band of the first power spectrum.

[0008] In any of the above information processing apparatuses, the state estimation unit may estimate a state based on a magnitude relationship between a ratio of the magnitude of the first power spectrum to the magnitude of the second power spectrum during the content is provided and a predetermined threshold value of the ratio of the magnitude of the first power spectrum to the magnitude of the second power spectrum, and a change from a ratio of the amplitude of brain waves in a predetermined frequency band in the brain wave information before the content is provided to a ratio of the amplitude of brain waves in the predetermined frequency band in the brain wave information during the content is provided to the total amplitude.

[0009] In any of the above information processing apparatuses, each state of a plurality of subjects may include a plurality of states of the subject. The state estimation unit may estimate one state among the plurality of states based on a change from a ratio of the amplitude of brain waves in a predetermined frequency band in the brain wave information before the content is provided to a ratio of the amplitude of brain waves in the predetermined frequency band in the brain wave information during the content is provided to the total amplitude, and a ratio of the magnitude of the first power spectrum to the magnitude of the second power spectrum.

[0010] In any of the above information processing apparatuses, the brain waves in the predetermined frequency band may be at least one of delta waves, theta waves, low alpha waves, and middle alpha waves.

[0011] In any of the above information processing apparatuses, the brain waves in a predetermined frequency band may be at least one of high alpha waves, low beta waves, high beta waves, and gamma waves.

[0012] In any of the above information processing apparatuses, the information acquisition unit may acquire the time-series changes of the brain wave information of each of a plurality of subjects when the time-series content of the content is provided. The state estimation unit may estimate the time-series changes of the states of each of the plurality of subjects based on the time-series changes of the brain wave information.

[0013] In any of the above information processing apparatuses, the identification information may include attribute information indicating the attributes of the subject. The content control unit may control the content based on the states of each of the plurality of subjects and the attribute information.

[0014] In any of the above information processing apparatuses, the identification information may include position information indicating the position of the subject in the real space or the virtual space. The content control unit may control the content based on the brain wave information and the position information.

[0015] In any of the above information processing apparatuses, a plurality of regions may be set in the real space or the virtual space. The state estimation unit may estimate the states of the groups of the plurality of subjects in each of the plurality of regions based on the brain wave information of the plurality of subjects in each of the plurality of regions.

[0016] In any of the above information processing apparatuses, the identification information may include information for identifying the terminal of the subject to which the content is provided. The content control unit may control the content based on the brain wave information and the information for identifying the terminal.

[0017] In a second aspect of the present invention, an information processing method is provided. The information processing method includes an information acquisition step in which an information acquisition unit acquires electroencephalogram information of each of a plurality of subjects for whom common content is provided, and a content control step in which a content control unit controls the content based on the electroencephalogram information of each of the plurality of subjects and the identification information of each of the plurality of subjects.

[0018] In a third aspect of the present invention, an information processing program is provided. The information processing program causes a computer to execute an information acquisition step of acquiring electroencephalogram information of each of a plurality of subjects for whom common content is provided, and a content control step of controlling the content based on the electroencephalogram information of each of the plurality of subjects and the identification information of each of the plurality of subjects.

[0019] Note that the above summary of the invention does not list all the features of the present invention. Also, sub-combinations of these feature groups can also be inventions.

Brief Description of the Drawings

[0020]

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Embodiments for Carrying Out the Invention

[0021] Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the claims. Also, not all combinations of features described in the embodiments are essential for the solution means of the invention.

[0022] FIG. 1 is a diagram showing an example of a situation where common content 120 is provided to a plurality of subjects 110. The content 120 is information on the viewing target or experience target of the subject 110. In this specification, viewing refers to receiving the provision of video and audio of an event or the like via a terminal 130 (described later), and experience refers to participating in the event at the venue where the event or the like is held. When referred to as "viewing" in this specification, it may include both "viewing" and "experience", and when referred to as "experience", it may include both "viewing" and "experience". The information on the viewing target or experience target includes at least one of visual information and auditory information.

[0023] The common content 120 may be video or audio related to the same viewing object. The fact that the common content 120 is provided means that, in addition to the case where the same video is provided to a plurality of subjects 110, it also includes the case where videos of the same viewing object from different viewpoints are provided to each subject 110, and the case where videos centered on different parts of the same viewing object are provided to each subject 110. The fact that the common content 120 is provided means that, in addition to the case where the same audio is provided to a plurality of subjects 110, it also includes the case where the same viewing object is heard at different positions, and the case where sounds generated at different positions in the same viewing object are provided to each subject 110. The fact that the common content 120 is provided may refer to the situation where each subject 110 participates in the event of the experience object at the venue of the same experience object.

[0024] In this example, the content 120 is an event such as a concert. The common content 120 may be provided to a plurality of subjects 110 at a common location. In this example, the common concert is provided to a plurality of subjects 110 at a common concert venue. In this example, an effect of displaying fireworks 140 is implemented in the background of the concert venue.

[0025] FIG. 2 is a diagram showing another example of a situation where the common content 120 is provided to a plurality of subjects 110. The common content 120 may be provided to a plurality of subjects 110 at different locations. In this example, the common concert is provided to the subject 110-2, the subject 110-3, and the subject 110-4 at different locations respectively.

[0026] The common content 120 may be distributed via the Internet. In this example, the content 120 shown in FIG. 1 is distributed via the Internet to the target persons 110-2, 110-3, and 110-4. In this example, the target person 110 is viewing the content 120 on the terminal 130. When the content 120 is viewed on the terminal 130, the provision of the common content 120 may be started and ended at the same timing for a plurality of target persons 110. In other examples, the provision of the content 120 may be started and ended at different timings for a plurality of target persons 110.

[0027] FIG. 3 is a block diagram showing an example of an information processing apparatus 100 according to an embodiment of the present invention. The information processing apparatus 100 includes an information acquisition unit 10 and a content control unit 20. The information processing apparatus 100 may further include an information presentation unit 30, a state estimation unit 40, a storage unit 50, and a control unit 90.

[0028] Part or all of the information processing apparatus 100 may be realized by a computer. The control unit 90 may be a CPU (Central Processing Unit) of the computer. When the information processing apparatus 100 is realized by a computer, an evaluation support program for causing the computer to function as the information processing apparatus 100 may be installed in the computer, and an information processing program for causing the computer to execute the information processing method described later may also be installed.

[0029] The information acquisition unit 10 acquires the brain wave information of each of a plurality of target persons 110 to whom the common content 120 is provided. Let the brain wave information of the target person 110 be brain wave information Ib. The brain wave information Ib of the target person 110 to whom the content 120 is provided refers to the brain wave information Ib of the target person 110 during the provision of the content 120. The information acquisition unit 10 may further acquire the brain wave information Ib of the target person 110 before the provision of the content 120.

[0030] The electroencephalogram information Ib may be information that reproduces at least a part of the time waveform of the electroencephalogram of the subject 110. The electroencephalogram information Ib may include data obtained by sampling the time waveform of the electroencephalogram, may include data indicating the magnitude of the frequency components of the electroencephalogram at one or more frequencies, and may also include other data. For example, the electroencephalogram information Ib may include data indicating the magnitude of at least one component of delta waves (less than 4 Hz), theta waves (4 Hz or more and less than 8 Hz), alpha waves (8 Hz or more and less than 14 Hz), beta waves (14 Hz or more and less than 26 Hz), and gamma waves (26 Hz or more and less than 40 Hz).

[0031] Alpha waves may be further classified into lower alpha waves (8 Hz or more and less than 10 Hz), middle alpha waves (10 Hz or more and less than 12 Hz), and higher alpha waves (12 Hz or more and less than 14 Hz) according to the frequency band. The electroencephalogram information Ib may also include data indicating the magnitude of at least one of the lower alpha waves, middle alpha waves, and higher alpha waves.

[0032] Beta waves may be further classified into lower beta waves (14 Hz or more and less than 18 Hz) and higher beta waves (18 Hz or more and less than 26 Hz) according to the frequency band. The electroencephalogram information Ib may also include data indicating the magnitude of at least one of the lower beta waves and higher beta waves.

[0033] The electroencephalogram information Ib may include information on the time waveforms of one or more electroencephalograms measured at one or more positions on the head including the head and face of the subject 110. For example, the electroencephalogram information Ib may be obtained by measuring the time waveforms of the potentials of electrodes arranged at equal intervals near the scalp of the subject 110, such as the international 10-20 method, or may be obtained by other methods. The plurality of electrodes arranged on the scalp do not have to be at equal intervals. The electrodes may be provided in wearable devices worn on the head of the subject 110, such as a headgear, headphones, earphones, glasses, etc. The electroencephalogram information Ib may also be information obtained by wireless communication of electrical signals at electrodes implanted in the body of the subject 110.

[0034] Let the identification information of the subject 110 be the identification information Id. The identification information Id may include attribute information indicating the attributes of the subject 110, position information indicating the position of the subject 110 in the real space or virtual space, or information for identifying the terminal 130 (see FIG. 2) of the subject 110 to which the content 120 is provided. Let the attribute information of the subject 110 be the attribute information Ia. Let the position information of the subject 110 be the position information Ip. Let the information for identifying the terminal 130 of the subject 110 be the terminal information It.

[0035] The attribute information Ia may include information on the gender, age, personality of the subject 110, and the viewing history information of the content 120. The personality of the subject 110 may include the sensitivity of the subject 110 to the influence of the content 120. The sensitivity to the influence of the content 120 refers to the degree of ease of influence when the content 120 affects the potential state of the subject 110. The sensitivity to the influence of the content 120 may refer to, for example, when the content 120 is a concert, whether the subject 110 is likely to get excited or not as the concert becomes exciting.

[0036] The brain wave information Ib of a plurality of subjects 110 and the identification information Id may be associated with each subject 110. The associated brain wave information Ib and identification information Id for each subject 110 may be stored in the storage unit 50.

[0037] Let the sum of the amplitudes of the alpha wave, beta wave, theta wave, gamma wave, and delta wave at a certain timing be the overall amplitude As. As an example, if the ratio of the amplitude of the delta wave of the subject 110 to the overall amplitude As is greater than any of the ratios of the amplitudes of the alpha wave, beta wave, theta wave, and gamma wave to the overall amplitude As, it can be inferred that the subject 110 is in a sleeping state.

[0038] The content control unit 20 controls the content 120 based on the brain wave information Ib of each of the plurality of subjects 110 and the identification information Id of each of the plurality of subjects 110. For example, when the content 120 is a concert, if the brain wave information Ib of each of the plurality of subjects 110 is the brain wave information Ib that can be presumed to be the above-described sleep state, the content control unit 20, for example, controls the content 120 for waking up the sleep state according to the sensitivity of the subject 110 to the influence of the content 120. Thereby, the content control unit 20 can control the content 120 according to the identification information Id.

[0039] The content control unit 20 may control the content 120 based on the brain wave information Ib and the identification information Id stored in the storage unit 50 and associated with each subject 110. The brain wave information Ib and the identification information Id stored in the storage unit 50 and associated with each subject 110 indicate the relationship between the subject 110 of the identification information Id and the past brain wave information Ib of the subject 110. Therefore, when the content control unit 20 controls the content 120 based on the brain wave information Ib and the identification information Id stored in the storage unit 50, it becomes easier to appropriately control the content 120 for the subject 110 of the identification information Id.

[0040] When the content 120 is an event such as a concert and the common content 120 is provided in a common concert venue for the plurality of subjects 110-1 (in the case of FIG. 1), controlling the content 120 by the content control unit 20 may refer to performing effects such as displaying the launch of fireworks 140 (see FIG. 1) in the background at the concert venue, changing the background color, etc. When the content 120 is an event such as a concert and the plurality of subjects 110 (subjects 110-2 to 110-4, see FIG. 2) are watching and experiencing the concert distributed over the Internet at different locations (in the case of FIG. 2), controlling the content 120 by the content control unit 20 may refer to performing effects such as displaying the launch of fireworks 140 in the background of the monitor, display, etc. on the terminal 130 that the subject 110 is watching, changing the background color, etc.

[0041] The state estimation unit 40 may estimate the state of each of the plurality of subjects 110 based on the brain wave information Ib of each of the plurality of subjects 110. Let the state be the state S. The information acquisition unit 10 may acquire the brain wave information Ib of each of the plurality of subjects 110 before the provision of the content 120. The content control unit 20 may estimate the state S of each of the plurality of subjects 110 based on the change from the brain wave information Ib before the provision of the content 120 to the brain wave information Ib during the provision of the content 120. The content control unit 20 may control the content 120 based on the state S of each of the plurality of subjects 110 and the identification information Id.

[0042] As an example, when the ratio of the amplitude of the theta wave of the subject 110 during the provision of the content 120 to the overall amplitude As is larger than the ratio of the amplitude of the theta wave before the provision of the content 120 to the overall amplitude As, the state estimation unit 40 may estimate the state S of the subject 110 as a state in which fatigue and drowsiness are increasing. The content control unit 20 may perform control of the content 120 to relieve the state S in which the fatigue and drowsiness of the subject 110 are increasing, for example, according to the sensitivity of the subject 110 to the influence of the content 120.

[0043] As an example, when the ratio of the sum of the amplitude of the low alpha wave and the amplitude of the middle alpha wave of the subject 110 during the provision of the content 120 to the overall amplitude As is larger than the ratio of the overall amplitude As before the provision of the content 120, the state estimation unit 40 may estimate the state S of the subject 110 as a state in which the degree of relaxation is increasing. The content control unit 20 may perform control of the content 120 to promote the state S in which the degree of relaxation of the subject 110 is increasing, for example, according to the sensitivity of the subject 110 to the influence of the content 120.

[0044] As an example, when the ratio of the sum of the amplitudes of the high alpha waves and the low beta waves of the subject 110 during the provision of the content 120 to the overall amplitude As is greater than the ratio to the overall amplitude As before the provision of the content 120, the state estimation unit 40 may estimate the state S of the subject 110 as a state with a good balance between relaxation and concentration. The state with a good balance between relaxation and concentration is a so-called absorbed state. The content control unit 20 may perform control of the content 120 that promotes the absorbed state S of the subject 110, for example, according to the sensitivity of the subject 110 to the influence of the content 120.

[0045] The electroencephalogram information Ib may reflect the potential evaluation of the subject 110 in contact with the content 120 with respect to the content 120. The potential evaluation of the content 120 may also reflect the subject's own psychological state that the subject 110 was not aware of himself / herself. The content control unit 20 controls the content 120 based on the electroencephalogram information Ib of each of the plurality of subjects 110 and the identification information Id of each of the plurality of subjects 110. Therefore, the subject 110 can enjoy the control of the content 120 based on the potential evaluation of the content 120.

[0046] The electroencephalogram information Ib, the identification information Id, and the estimated state S of the plurality of subjects 110 may be associated with each subject 110. The associated electroencephalogram information Ib, identification information Id, and estimated state S for each subject 110 may be stored in the storage unit 50.

[0047] FIG. 4 is a diagram showing an example of the information acquisition unit 10. The information acquisition unit 10 may have an electroencephalograph capable of measuring the electroencephalogram information Ib, or may have a communication device that acquires the electroencephalogram information Ib measured by an external electroencephalograph. The information acquisition unit 10 in this example is a headgear-type electroencephalograph. The information acquisition unit 10 may be an earphone-type electroencephalograph. In this example, the subject 110 may be provided with the content 120 while wearing a headgear-type or earphone-type electroencephalograph. Thereby, the information acquisition unit 10 acquires the electroencephalogram information Ib of the subject 110 in the state where the content 120 is provided.

[0048] When the information acquisition unit 10 is a headgear type electroencephalograph, the content control unit 20 and the control unit 90 may not be housed in the housing of the headgear. The electroencephalogram information Ib acquired by the information acquisition unit 10 may be wirelessly transmitted to the control unit 90.

[0049] The information acquisition unit 10 may further acquire the biological information of each of the plurality of subjects 110 for whom the content 120 is provided. Let the biological information be biological information Ig. The information acquisition unit 10 may further acquire the biological information Ig before the provision of the content 120. The biological information Ig may include at least one of the heartbeat information, sweating amount information, and body temperature information of the subject 110. The biological information Ig of the subject 110 may be acquired by a sensor provided in a wearable device worn by the subject 110. The information acquisition unit 10 may further acquire the biological information Ig of each of the plurality of subjects 110 before the provision of the content 120.

[0050] The content control unit 20 may control the content 120 based on the electroencephalogram information Ib and the biological information Ig of each of the plurality of subjects 110 and the identification information Id. The potential evaluation of the subject 110 in contact with the content 120 with respect to the content 120 may be reflected in the biological information Ig. For example, when the subject 110 feels stress with respect to the content 120, the subject 110 is likely to be in a state where the sympathetic nerve is dominant over the parasympathetic nerve. When the sympathetic nerve is dominant over the parasympathetic nerve, the heartbeat variation of the subject 110 is likely to decrease, and the stress state is likely to increase. Therefore, by relying on the electroencephalogram information Ib and the biological information Ig, the content control unit 20 can control the content 120 that more accurately reflects the potential evaluation of the subject 110 with respect to the content 120.

[0051] The state estimation unit 40 may estimate the state S based on the electroencephalogram information Ib and the biological information Ig. The state estimation unit 40 may estimate the state S of each of the plurality of subjects 110 based on the change from the electroencephalogram information Ib before the provision of the content 120 to the electroencephalogram information Ib during the provision and the biological information Ig.

[0052] Let the magnitude of the first power spectrum in the heartbeat of subject 110 be LF, and the magnitude of the second power spectrum be HF. The frequency band of the second power spectrum is a higher-frequency band than the frequency band of the first power spectrum. The frequency band of the first power spectrum and the frequency band of the second power spectrum do not have to overlap. The frequency band of the first power spectrum is, for example, 0.04 - 0.15 Hz. The frequency band of the second power spectrum is, for example, 0.15 - 0.4 Hz.

[0053] From the ratio of the amplitude of the brain waves in a predetermined frequency band in the brain wave information Ib before the provision of content 120 to the overall amplitude As, to the ratio of the amplitude of the brain waves in a predetermined frequency band in the brain wave information Ib during the provision of content 120 to the overall amplitude As, the change is defined as change C. The state estimation unit 40 may estimate the state S based on the change C and the ratio of LF to HF (LF / HF).

[0054] As an example, when the ratio of the sum of the amplitudes of the high beta waves and gamma waves of subject 110 during the provision of content 120 to the overall amplitude As is greater than the ratio to the overall amplitude As before the provision of content 120, and the ratio of LF to HF (LF / HF) during the provision of content 120 is equal to or greater than the threshold value, it can be inferred that the irritable state, hypersensitive state, or stress state of subject 110 has increased. When the ratio of LF to HF (LF / HF) is equal to or greater than the threshold value, subject 110 may be judged to be in a state where the sympathetic nerve is dominant over the parasympathetic nerve. When the ratio of LF to HF (LF / HF) is less than the threshold value, subject 110 may be judged to be in a state where the parasympathetic nerve is dominant over the sympathetic nerve. The threshold value may be 2, or may be 3, may be 4, or may be 5.

[0055] As an example, when the ratio of the sum of the amplitudes of the high beta waves and the gamma waves of the subject 110 during the provision of the content 120 to the total amplitude As is larger than the ratio to the total amplitude As before the provision of the content 120, and the ratio of LF to HF (LF / HF) during the provision of the content 120 is less than the threshold value, it can be presumed that the excitement state of the subject 110 is increasing.

[0056] The state estimation unit 40 may estimate the state S based on the magnitude relationship between the ratio of LF to HF (LF / HF) during the provision of the content 120 and the threshold value of the ratio of LF to HF, and the change C. The threshold value may be determined in advance. When the ratio of the sum of the amplitudes of the high beta waves and the gamma waves of the subject 110 during the provision of the content 120 to the total amplitude As is larger than the ratio to the total amplitude As before the provision of the content 120, and the ratio of LF to HF (LF / HF) during the provision of the content 120 is equal to or greater than the threshold value, the state estimation unit 40 may estimate the state S that the sense of vigilance of the subject 110 with respect to the content 120 is increasing. When the ratio of the sum of the amplitudes of the high beta waves and the gamma waves of the subject 110 during the provision of the content 120 to the total amplitude As is larger than the ratio to the total amplitude As before the provision of the content 120, and the ratio of LF to HF (LF / HF) during the provision of the content 120 is less than the threshold value, the state estimation unit 40 may estimate the state S that the degree of excitement with respect to the content 120 is increasing.

[0057] FIG. 5 is a diagram showing an example of the state S estimated by the state estimation unit 40. The state S may include a plurality of states (the first state S1 to the nth state Sn) of the subject 110. In this example, the state S includes four states (the first state S1 to the fourth state S4) of the subject 110. In FIG. 5, the brain wave of the low frequency f1 refers to at least one of a delta wave, a theta wave, a low alpha wave, and a middle alpha wave, and the brain wave of the high frequency f2 refers to at least one of a high alpha wave, a low beta wave, a high beta wave, and a gamma wave.

[0058] The amplitude of the brain wave of subject 110, which is the amplitude of the brain wave in a predetermined frequency band, is defined as amplitude Af. The amplitude Af of the brain wave of subject 110 before the provision of content 120 is defined as amplitude Af1. The amplitude Af of the brain wave of subject 110 during the provision of content 120 is defined as amplitude Af2. The brain wave in the predetermined frequency band may be at least one of a low alpha wave, a medium alpha wave, a high alpha wave, a low beta wave, a high beta wave, a gamma wave, and a theta wave.

[0059] The state estimation unit 40 may estimate the state S based on the change from the ratio of amplitude Af1 in the total amplitude As to the ratio of amplitude Af2 in the total amplitude As and the ratio of LF to HF (LF / HF). The state S may be one of a plurality of states S of subject 110 (any one of the first state S1 to the nth state Sn).

[0060] In this example, the first state S1 is a state of subject 110 when, in the brain wave of low frequency f1, the ratio of amplitude Af2 in the total amplitude As is greater than the ratio of amplitude Af1 in the total amplitude As, and the ratio of LF to HF (LF / HF) during the provision of content 120 is greater than or equal to the threshold value. When subject 110 is in the first state S1, it can be inferred that the fatigue state and drowsiness state of subject 110 are increasing. When subject 110 is in the first state S1, the state estimation unit 40 may estimate that the degree of interest of subject 110 in content 120 is decreasing.

[0061] In this example, the second state S2 is a state of subject 110 when, in the brain wave of low frequency f1, the ratio of amplitude Af2 in the total amplitude As is greater than the ratio of amplitude Af1 in the total amplitude As, and the ratio of LF to HF (LF / HF) during the provision of content 120 is less than the threshold value. When subject 110 is in the second state S2, it can be inferred that the relaxation state of subject 110 is increasing. When subject 110 is in the second state S2, the state estimation unit 40 may estimate that the degree of comfort of subject 110 with respect to content 120 is increasing.

[0062] In this example, the third state S3 is a state of the subject 110 when, in the brain wave of the high frequency f2, the ratio of the amplitude Af2 to the overall amplitude As is larger than the ratio to the overall amplitude As of the brain wave Af1, and the ratio of LF to HF (LF / HF) during the provision of the content 120 is equal to or higher than a threshold value. When the subject 110 is in the third state S3, it can be presumed that the irritation state, the hypersensitive state, or the stress state of the subject 110 is increasing. When the subject 110 is in the third state S3, the state estimation unit 40 may estimate that the alertness of the subject 110 with respect to the content 120 is increasing.

[0063] In this example, the fourth state S4 is a state of the subject 110 when, in the brain wave of the high frequency f2, the ratio of the amplitude Af2 to the overall amplitude As is larger than the ratio to the overall amplitude As of the brain wave Af1, and the ratio of LF to HF (LF / HF) during the provision of the content 120 is less than a threshold value. When the subject 110 is in the fourth state S4, it can be presumed that the state of being absorbed in the subject 110 is increasing. When the subject 110 is in the fourth state S4, the state estimation unit 40 may estimate that the degree of interest of the subject 110 with respect to the content 120 is increasing.

[0064] FIG. 6 and FIG. 7 are diagrams showing an example of the time-series change of the subject 110 when the time-series content of the content 120 is provided to a plurality of subjects 110. FIG. 6 is a diagram showing an example of the subject 110 before the time-series content of the content 120 is provided. FIG. 7 is a diagram showing an example of the subject 110 for whom the time-series content of the content 120 is being provided.

[0065] FIG. 6 and FIG. 7 are an example when the content 120 is an event such as a concert. When the content 120 is an event such as a concert, on the occasion of the appearance of a certain performer 150, the excitement of the subject 110 in the concert hall may suddenly increase, and the concert hall may suddenly become lively. FIG. 6 is an example of the subject 110 before the appearance of the performer 150. FIG. 7 is an example of the subject 110 after the appearance of the performer 150.

[0066] The information acquisition unit 10 may acquire the time-series changes in the brain wave information Ib of each of the plurality of subjects 110 when the time-series content of the content 120 is provided. The state estimation unit 40 may estimate the time-series changes in the state S of each of the plurality of subjects 110 based on the time-series changes in the brain wave information Ib acquired by the information acquisition unit 10. As the time-series content of the content 120 changes, the brain wave information Ib of the subject 110 may change. In the examples of FIGS. 6 and 7, the information acquisition unit 10 acquires the time-series changes in the brain wave information Ib of each of the plurality of subjects 110 from before the appearance to after the appearance of a certain performer.

[0067] The state estimation unit 40 may estimate the time-series changes in the state S of each of the plurality of subjects 110 based on the time-series changes in the brain wave information Ib of each of the plurality of subjects 110. In the examples of FIGS. 6 and 7, the state estimation unit 40 estimates the time-series changes in the state S of each of the plurality of subjects 110 from before the appearance to after the appearance of a certain performer.

[0068] The information presentation unit 30 may present the time-series changes in the state S of each of the plurality of subjects 110 estimated by the state estimation unit 40. The information presentation unit 30 is, for example, a display, a monitor, or the like. The information presentation unit 30 may present the time-series changes in the state S to the provider of the content 120. Thereby, when the provider of the content 120 provides another content 120 to the subject 110 next time, it becomes easier to provide the content 120 that reflects the time-series changes in the state S for each subject 110. The provider of the content 120 can determine the seating order of the subjects 110 that reflects the time-series changes in the state S when providing the content 120 to the subjects 110 next time. For example, the provider of the content 120 can concentrate the seating orders of the plurality of subjects 110 whose time-series changes in the state S are similar in one area of the concert venue.

[0069] Based on the time-series changes in the content of the content 120 and the time-series changes in the state S of the target person 110, the state estimation unit 40 may analyze the tendency of the content of the content 120 for which the state S is likely to change for each target person 110. For example, when a spotlight shines on a specific performer in the content 120, or when the performer appears, or when a video in which the performer is enlarged is distributed, or when a video with the performer placed at the center of the image is distributed, the target person 110 whose state S has changed to meet a predetermined standard may be extracted. The extracted target persons 110 are likely to have similar preferences for the performer. The information presentation unit 30 may present seats adjacent to each other at the concert venue after the next time to the extracted target persons 110. By arranging the target persons 110 with similar preferences in adjacent seats, it becomes easier for the changes in the state S of the adjacent target persons 110 with respect to the content 120 to be synchronized. As a result, the changes in the state S of each target person 110 are likely to be amplified, and the satisfaction of the target person 110 is likely to be improved.

[0070] When the same content 120 is provided to a plurality of target persons 110 at different locations (in the case of FIG. 2), the content control unit 20 may control the content 120 based on the time-series changes in the respective states S of the plurality of target persons 110 estimated by the state estimation unit 40 and the identification information Id. For the same content 120, the time-series changes in the electroencephalogram information Ib when the time-series content of the content 120 is provided may be different for each target person 110. Therefore, the time-series changes in the state S may be different for each target person 110. In this example, the content control unit 20 controls the content 120 based on the time-series changes in the state S and the identification information Id. Therefore, the content control unit 20 can perform optimal control of the content 120 for each of the target persons 110-3 to 110-4.

[0071] In the examples of FIGS. 6 and 7, the change in the state S of the target person 110 triggered by the appearance of the performer 150 may differ for each target person 110. Among the plurality of target persons 110, there may be one target person 110 in a state S in which the sense of exhilaration increases triggered by the appearance of the performer 150, and other target persons 110 in a state S in which the sense of exhilaration does not increase as much as that of the said target person 110. In the examples of FIGS. 6 and 7, the content control unit 20 makes the control of the content 120 provided to one target person 110 different from the control of the content 120 presented to the other target persons 110. Making the control of the content 120 different means, for example, making the color of the background of the monitor viewed by the terminal 130 (see FIG. 2) of the target person 110 different, making the background effects different, etc. Thereby, the content control unit 20 can perform optimal control of the content 120 for each target person 110.

[0072] The content control unit 20 may magnify different parts of the image to be viewed for each target person 110 and distribute the magnified images to the respective terminals 130. As described above, the content control unit 20 may determine the preference for the performer for each target person 110. The content control unit 20 may make the time when the performer conforming to the determined preference is included in the distribution image, or the area occupied by the said performer on the image, larger than that of other performers, and distribute it to the target person 110. Thereby, the content control unit 20 can distribute videos according to the preferences of the respective target persons 110. The content control unit 20 may perform control of the content 120 wirelessly.

[0073] The time-series change of the brain wave information Ib of the plurality of target persons 110, the time-series change of the state S, and the identification information Id may be associated with each target person 110. The associated time-series change of the brain wave information Ib, the time-series change of the state S, and the identification information Id for each target person 110 may be stored in the storage unit 50. The content control unit 20 may control the content 120 based on the time-series change of the state S and the identification information Id stored in the storage unit 50 and associated with each target person 110.

[0074] The content control unit 20 may control the content 120 based on the respective states S of a plurality of subjects 110 and the attribute information Ia. The attribute information Ia may include information related to the sensitivity of the subject 110 to the influence of the content 120. The sensitivity to the influence of the content 120 may be divided into levels such as high, medium, low, etc.

[0075] The content control unit 20 may control the content 120 based on one state S among the plurality of states S and one attribute among the plurality of attributes. For example, when the subject 110 is in the first state S1 (a state where the degree of interest in the content 120 is decreasing) and the sensitivity of the subject 110 is high, the content control unit 20 may control the content 120 differently from when the subject 110 is in the first state S1 (a state where the degree of interest in the content 120 is decreasing) and the sensitivity of the subject 110 is low. Thereby, the content control unit 20 can implement control of the content 120 according to the attributes of the subject 110.

[0076] The identification information Id may include position information Ip indicating the position of the subject 110 in the real space or the virtual space. The content control unit 20 may control the content 120 based on the brain wave information Ib and the position information Ip of each of the plurality of subjects 110. When the content 120 is an event such as a concert and the content 120 is provided to the subject 110 at the concert venue in the real space, the position information Ip may be information on the seat number of the subject 110 at the concert venue in the real space. At the concert venue, the appearance of the performer 150 (see FIG. 7) may differ depending on the seat number. In such a case, the content control unit 20 may, for example, control the content 120 for the subject 110 with the position information Ip where the performer 150 is visible differently from the control of the content 120 for the subject 110 with the position information Ip where the performer 150 is not visible. The position information Ip where the performer 150 is visible and the position information Ip where the performer 150 is not visible may be predetermined. For example, when the performer 150 is located in front of the area D3 on the stage 160 (see FIG. 8), the area D3 and the area D6 may be predetermined as positions where the performer 150 is visible, and the area D1 may be predetermined as a position where the performer 150 is not visible. The predetermined position information Ip may be stored in the storage unit 50.

[0077] When the content control unit 20 controls the content 120 differently, it may include the presence or absence of the display of the fireworks 140 (see FIG. 7) in the background of the performer 150, changing the color of the fireworks 140, changing the background color, etc. When the performer 150 is located in front of the area D3, the content control unit 20, for example, displays the fireworks 140 in the background of the performer 150 and does not display the fireworks 140 in the background of the stage 160 in front of the area D1.

[0078] FIG. 8 is a diagram showing an example of the group G of the subject 110. FIG. 8 is a top view of the concert hall in the real space shown in FIGS. 1, 6, and 7. In the real space or virtual space where the subject 110 exists, a plurality of regions D may be set. In the example of FIG. 8, six regions D (region D1 to region D6) are set in the concert hall in the real space. In the example of FIG. 8, a stage 160 on which the performer 150 appears is arranged in front of the six regions D. In each of the plurality of regions D, a plurality of subjects 110 exist.

[0079] The state estimation unit 40 may estimate the state of the group G of the plurality of subjects 110 in each of the plurality of regions D based on the brain wave information Ib of the plurality of subjects 110 in each of the plurality of regions D. Let the state of the group G be the state S'. In this example, the state estimation unit 40 estimates the state S' of each of the groups G1 to G6.

[0080] The state estimation unit 40 may estimate the state S for each subject 110 in each of the plurality of regions D, and estimate the state S' of the group based on the state S for each subject 110. The state estimation unit 40 may estimate for each subject 110 which of the states S1 to S4 (see FIG. 5) the state S of the subject 110 is in each of the plurality of regions D. The state estimation unit 40 may estimate the state S that is the most common among the states S1 to S4 in one region D as the state S' of the group of the subjects 110 in the one region D. In the example of FIG. 8, assume that the state S' of the group G1 in the region D1 is a state in which the degree of interest in the content 120 is increasing, and the state S' of the group G3 in the region D3 is a state in which the degree of interest in the content 120 is decreasing.

[0081] The content control unit 20 may control the content 120 based on the state S' of the group G. The content control unit 20 may control the volume, temperature, or light amount for each region D according to the state S' of the group G. In the example of FIG. 8, the content control unit 20 performs control of the light amount to increase the degree of interest for the group G3 in the region D3 where the degree of interest is decreasing. The content control unit 20 may increase the degree of interest of the group G3, for example, by performing control such as shining a spotlight on the stage in front of the region D3.

[0082] In the example of FIG. 8, when the degree of interest of the group G1 in the region D1 has increased excessively, the content control unit 20 may provide information indicating that the degree of interest of the group G1 has increased excessively to the security system in the concert hall. When the degree of interest in the content 120 has increased excessively, there may be a risk that the subject 110 becomes excessively excited. Therefore, the content control unit 20 may provide information indicating that the degree of interest of the group G1 has increased excessively to the security system in the concert hall.

[0083] The information presentation unit 30 may present the state S' of the group G to the provider of the content 120 for each region D. The information presentation unit 30 may present the state S' of the group G for each region D in a color gradient across a plurality of regions D.

[0084] The content control unit 20 may control the content 120 based on the state S' of the group G and the position information Ip. When the backgrounds of the stage 160 in front of each of the regions D1 to D3 can be controlled independently, the content control unit 20 may control the respective backgrounds of the stage 160 in front of each of the regions D1 to D3 based on the respective states S' of the groups G1 to G3. For example, when the performer 150 (see FIG. 7) moves to the front of the region D3, the state S' of the group G3 becomes a state where the degree of interest in the content 120 is increasing, and the state S' of the group G1 becomes a state where the degree of interest in the content 120 is decreasing. In this case, the content control unit 20 may, for example, display the fireworks 140 on the background of the stage 160 in front of the region D3 and not display the fireworks 140 on the background of the stage 160 in front of the region D1.

[0085] In one of the plurality of regions D, when the change in the state S of one subject 110 from before the provision of the content 120 to after the provision is different from the change in the state S of other subjects 110, the information presentation unit 30 may present the content 120 that recommends the one subject 110 to move to a region D different from the one region D. In one of the plurality of regions D, when the change in the state S of one subject 110 from before the provision of the content 120 to after the provision is different from the change in the state S of other subjects 110, and when the state S of the one subject 110 after the provision of the content 120 is the same as the state S of other subjects 110, the information presentation unit 30 may present the content 120 that recommends the one subject 110 to move to a region D different from the one region D. When there are a plurality of subjects 110 in one region D, the change in the state S of one subject 110 in the one region D may be different from the change in the state S of the other plurality of subjects 110 in the one region D. For example, when the other plurality of subjects 110 change from state S1 to state S2 due to the appearance of the performer 150 (see FIG. 7), but one subject 110 changes from state S4 to state S2, the degree of interest of the other plurality of subjects 110 in the performer 150 is increasing, but the probability that the degree of interest of one subject 110 in the performer 150 is decreasing is high. In such a case, the information presentation unit 30 may present the content 120 that recommends the one subject 110 to move to a region D different from the one region D.

[0086] The identification information Id may include the terminal information It that identifies the terminal 130 (see FIG. 2) of the subject 110. The content control unit 20 may control the content 120 based on the brain wave information Ib of each of the plurality of subjects 110 and the terminal information It. When the same content 120 is provided to the plurality of subjects 110 at different locations (in the case of FIG. 2), the content control unit 20 may control the content 120 based on the brain wave information Ib of one subject 110 at one location and the terminal information It of the one subject 110, and may control the content 120 based on the brain wave information Ib of other subjects 110 at other locations and the terminal information It of the other subjects 110.

[0087] FIG. 9 is a flowchart showing an example of an information processing method according to an embodiment of the present invention. An information processing method according to an embodiment of the present invention will be described by taking the information processing apparatus 100 shown in FIG. 3 as an example. The information processing method includes an information acquisition step S100 and a content control step S104. The information processing method may include a state estimation step S102 and an information presentation step S106.

[0088] The information acquisition step S100 is a step in which the information acquisition unit 10 acquires the brain wave information Ib of each of a plurality of subjects 110 for whom common content 120 is provided. The content control step S104 is a step in which the content control unit 20 controls the content 120 based on the brain wave information Ib of each of the plurality of subjects 110 and the identification information Id of each of the plurality of subjects 110.

[0089] The state estimation step S102 is a step in which the state estimation unit 40 estimates the state S of each of the plurality of subjects 110 based on the brain wave information Ib of each of the plurality of subjects 110. The content control step S104 may be a step in which the content control unit 20 controls the content 120 based on the state S of each of the plurality of subjects 110 and the identification information Id.

[0090] The information acquisition step S100 may be a step in which the information acquisition unit 10 further acquires the biological information Ig of each of a plurality of subjects 110 for whom the content 120 is provided. The content control step S104 may be a step in which the content control unit 20 controls the content 120 based on the brain wave information Ib and the biological information Ig of each of the plurality of subjects 110 and the identification information Id.

[0091] The state estimation step S102 may be a step in which the state estimation unit 40 estimates the state S based on the change from the ratio of the amplitude Af1 to the total amplitude As in the brain wave information Ib before the provision of the content 120 to the ratio of the amplitude Af2 to the total amplitude As in the brain wave information Ib during the provision of the content 120, and the ratio of LF to HF (LF / HF) in the heartbeat of the subject 110.

[0092] The state estimation step S102 may be a step in which the state estimation unit 40 estimates the state S based on the magnitude relationship between the ratio of LF to HF (LF / HF) during the provision of the content 120 and a predetermined threshold value of the ratio of LF to HF (LF / HF), and the change from the ratio of the amplitude Af1 to the total amplitude As to the ratio of the amplitude Af2 to the total amplitude As.

[0093] The state S may include a plurality of states of the subject 110. The state estimation step S102 may be a step in which the state estimation unit 40 estimates one state S out of the plurality of states S based on the change from the ratio of the amplitude Af1 to the total amplitude As to the ratio of the amplitude Af2 to the total amplitude As, and the ratio of LF to HF (LF / HF).

[0094] The information acquisition step S100 may be a step in which the information acquisition unit 10 acquires the time-series change of the brain wave information Ib of each of the plurality of subjects 110 when the time-series content of the content 120 is provided. The state estimation step S102 may be a step in which the state estimation unit 40 estimates the time-series change of the state S in each of the plurality of subjects 110 based on the time-series change of the brain wave information Ib.

[0095] The content control step S104 may be a step in which the content control unit 20 controls the content 120 based on the state S and the attribute information Ia of each of the plurality of subjects 110. The content control step S104 may be a step in which the content control unit 20 controls the content based on the brain wave information Ib and the position information Ip of each of the plurality of subjects 110. The content control step S104 may be a step in which the content control unit 20 controls the content 120 based on the brain wave information Ib and the terminal information It of each of the plurality of subjects 110.

[0096] The state estimation step S102 may be a step in which the state estimation unit 40 estimates the state S' of the group G of the plurality of subjects 110 in each of the plurality of regions D based on the brain wave information Ib of the plurality of subjects 110 in each of the plurality of regions D. The information presentation step S106 may be a step in which, in one region D, when the brain wave information Ib of one subject 110 deviates from the brain wave information Ib of other subjects 110, the information presentation unit 30 presents content 120 that recommends that one subject 110 move to a region D different from the one region D based on the degree of deviation between the brain wave information Ib of one subject 110 and the brain wave information Ib of other subjects 110. The content control step S104 may be a step in which the content control unit 20 controls the information presentation unit 30 to present the content 120 to the information presentation unit 30.

[0097] FIG. 10 is a diagram showing an example of a computer 2200 in which an information processing apparatus 100 according to an embodiment of the present invention may be wholly or partially embodied. Programs installed in the computer 2200 can cause the computer 2200 to perform operations associated with the information processing apparatus 100 according to the embodiment of the present invention, or function as one or more sections of the information processing apparatus 100, or execute the operations or the one or more sections, or cause the computer 2200 to execute each stage (see FIG. 9) of the information processing method according to the present invention. The program may be executed by the CPU 2212 to cause the computer 2200 to perform specific operations associated with some or all of the blocks in the flowcharts (FIG. 9) and block diagrams (FIG. 3) described herein.

[0098] A computer 2200 according to an embodiment of the present invention includes a CPU 2212, a RAM 2214, a graphic controller 2216, and a display device 2218. The CPU 2212, the RAM 2214, the graphic controller 2216, and the display device 2218 are interconnected by a host controller 2210. The computer 2200 further includes input / output units such as a communication interface 2222, a hard disk drive 2224, a DVD-ROM drive 2226, and an IC card drive. The communication interface 2222, the hard disk drive 2224, the DVD-ROM drive 2226, the IC card drive, etc. are connected to the host controller 2210 via an input / output controller 2220. The computer further includes legacy input / output units such as a ROM 2230 and a keyboard 2242. The ROM 2230, the keyboard 2242, etc. are connected to the input / output controller 2220 via an input / output chip 2240.

[0099] The CPU 2212 controls each unit by operating according to the programs stored in the ROM 2230 and the RAM 2214. The graphic controller 2216 causes the image data generated by the CPU 2212 to be displayed on the display device 2218 by acquiring the image data into a frame buffer or the like provided in the RAM 2214 or into the RAM 2214.

[0100] The communication interface 2222 communicates with other electronic devices via a network. The hard disk drive 2224 stores the programs and data used by the CPU 2212 in the computer 2200. The DVD-ROM drive 2226 reads a program or data from the DVD-ROM 2201 and provides the read program or data to the hard disk drive 2224 via the RAM 2214. The IC card drive reads programs and data from an IC card or writes programs and data to an IC card.

[0101] The ROM 2230 stores a boot program or the like that is executed by the computer 2200 at activation or a program that depends on the hardware of the computer 2200. The input / output chip 2240 may connect various input / output units to the input / output controller 2220 via a parallel port, a serial port, a keyboard port, a mouse port, or the like.

[0102] The program is provided by a computer-readable medium such as a DVD-ROM 2201 or an IC card. The program is read from the computer-readable medium, installed in a hard disk drive 2224, a RAM 2214, or a ROM 2230, which are also examples of computer-readable media, and executed by a CPU 2212. The information processing described in these programs is read by the computer 2200, bringing about cooperation between the programs and the various types of hardware resources described above. The apparatus or method may be configured by realizing the operation or processing of information in accordance with the use of the computer 2200.

[0103] For example, when communication is executed between the computer 2200 and an external device, the CPU 2212 may execute a communication program loaded in the RAM 2214 and instruct the communication interface 2222 to perform communication processing based on the processing described in the communication program. The communication interface 2222 reads the transmission data stored in a transmission buffer processing area provided in a recording medium such as the RAM 2214, the hard disk drive 2224, the DVD-ROM 2201, or the IC card under the control of the CPU 2212, transmits the read transmission data to the network, or writes the received data received from the network to a reception buffer processing area or the like provided on the recording medium.

[0104] The CPU 2212 may cause all or a necessary part of a file or database stored in an external recording medium such as the hard disk drive 2224, a DVD-ROM drive 2226 (DVD-ROM 2201), an IC card, etc. to be read into the RAM 2214. The CPU 2212 may perform various types of processing on the data on the RAM 2214. The CPU 2212 may then write back the processed data to the external recording medium.

[0105] Various types of information such as various types of programs, data, tables, and databases may be stored in a recording medium and processed. The CPU 2212 may perform various types of processing on the data read from the RAM 2214, including various types of operations, information processing, condition judgment, conditional branch, unconditional branch, information search or replacement, etc. specified by the instruction sequence of the program described in this disclosure. The CPU 2212 may write back the result to the RAM 2214.

[0106] The CPU 2212 may search for information in files, databases, etc. in the recording medium. For example, when a plurality of entries each having an attribute value of a first attribute associated with an attribute value of a second attribute are stored in the recording medium, the CPU 2212 searches for an entry that matches the condition where the attribute value of the first attribute is specified from among the plurality of entries, reads the attribute value of the second attribute stored in the entry, and by reading the second attribute value, may obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

[0107] The above-described program or software module may be stored on the computer 2200 or on a computer-readable medium of the computer 2200. A recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can be used as a computer-readable medium. The program may be provided to the computer 2200 by the recording medium.

[0108] As described above, the present invention has been described using embodiments, but the technical scope of the present invention is not limited to the scope described in the above embodiments. It is obvious to those skilled in the art that various changes or improvements can be made to the above embodiments. It is clear from the description of the claims that forms with such changes or improvements may also be included in the technical scope of the present invention.

[0109] In the claims, the specification, and the drawings, the execution order of each process such as operations, procedures, steps, and stages in the apparatus, system, program, and method shown is not explicitly stated as "before" or "preceding" etc. in particular, and it should be noted that it can be realized in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flows in the claims, the specification, and the drawings, even if explanations are made using "first," "next," etc. for convenience, it does not mean that it is essential to implement in this order.

Description of Reference Numerals

[0110] 10... Information acquisition unit, 20... Content control unit, 30... Information presentation unit, 40... State estimation unit, 50... Storage unit, 90... Control unit, 100... Information processing apparatus, 110... Target person, 120... Content, 130... Terminal, 140... Fireworks, 150... Performer, 160... Stage

Claims

1. An information acquisition unit that acquires electroencephalogram information of each of a plurality of subjects provided with common content; A content control unit that controls the content based on the electroencephalogram information of each of the plurality of subjects and the identification information of each of the plurality of subjects; An information processing apparatus comprising:

2. Further comprising a state estimation unit that estimates the state of each of the plurality of subjects based on the electroencephalogram information of each of the plurality of subjects, The content control unit controls the content based on the state of each of the plurality of subjects and the identification information. The information processing apparatus according to claim 1.

3. The information acquisition unit further acquires biometric information of each of the plurality of subjects provided with the content, The content control unit controls the content based on the electroencephalogram information and the biometric information of each of the plurality of subjects and the identification information. The information processing apparatus according to claim 2.

4. The information acquisition unit further acquires the electroencephalogram information before and during the provision of the content, The state estimation unit estimates the state of each of the plurality of subjects based on the change from the electroencephalogram information before the provision of the content to the electroencephalogram information during the provision of the content and the biometric information. The information processing apparatus according to claim 3.

5. The state estimation unit estimates the state based on the ratio of the amplitude of the electroencephalogram in a predetermined frequency band in the electroencephalogram information before the provision of the content to the total amplitude of the electroencephalogram, to the ratio of the amplitude of the electroencephalogram in the frequency band in the electroencephalogram information during the provision of the content to the total amplitude, and the ratio of the magnitude of the first power spectrum in the subject's heartbeat to the magnitude of the second power spectrum, The total amplitude is the sum of the amplitudes of alpha waves, beta waves, theta waves, gamma waves, and delta waves, The frequency band of the second power spectrum is a higher frequency band than the frequency band of the first power spectrum. The information processing apparatus according to claim 4.

6. The state estimation unit estimates the state based on a ratio of the magnitude of the first power spectrum to the magnitude of the second power spectrum during the provision of the content, a magnitude relationship between the ratio and a predetermined threshold of the ratio of the magnitude of the first power spectrum to the magnitude of the second power spectrum, and the change. The information processing apparatus according to claim 5.

7. The state includes a plurality of states of the subject. The state estimation unit estimates one of the plurality of states based on the change and a ratio of the magnitude of the first power spectrum to the magnitude of the second power spectrum. The information processing apparatus according to claim 5.

8. The electroencephalogram in the frequency band is at least one of a delta wave, a theta wave, a low alpha wave, and a medium alpha wave, the information processing apparatus according to claim 7.

9. The electroencephalogram in the frequency band is at least one of a high alpha wave, a low beta wave, a high beta wave, and a gamma wave, the information processing apparatus according to claim 7.

10. The information acquisition unit acquires a time-series change in the electroencephalogram information of each of the plurality of subjects when time-series content of the content is provided. The state estimation unit estimates a time-series change in the state of each of the plurality of subjects based on the time-series change in the electroencephalogram information. The information processing apparatus according to claim 2 or 3.

11. The identification information includes attribute information indicating an attribute of the subject. The content control unit controls the content based on the state of each of the plurality of subjects and the attribute information. The information processing apparatus according to any one of claims 2 to 9.

12. The identification information includes position information indicating a position of the subject in a real space or a virtual space. The content control unit controls the content based on the electroencephalogram information and the position information. The information processing apparatus according to any one of claims 2 to 9.

13. A plurality of regions are set in the real space or the virtual space. The state estimation unit estimates a state of a group of the plurality of subjects in each of the plurality of regions based on the electroencephalogram information of the plurality of subjects in each of the plurality of regions. The information processing apparatus according to claim 12.

14. The identification information includes information for identifying a terminal of the subject to which the content is provided. The content control unit controls the content based on the electroencephalogram information and the information for identifying the terminal. The information processing apparatus according to any one of claims 1 to 9.

15. An information acquisition step in which an information acquisition unit acquires electroencephalogram information of each of a plurality of subjects for whom common content is provided; A content control step in which a content control unit controls the content based on the electroencephalogram information of each of the plurality of subjects and the identification information of each of the plurality of subjects; An information processing method comprising:

16. Causing a computer to: An information acquisition step of acquiring electroencephalogram information of each of a plurality of subjects for whom common content is provided; A content control step of controlling the content based on the electroencephalogram information of each of the plurality of subjects and the identification information of each of the plurality of subjects; An information processing program for causing the above to be executed.

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