Information processing apparatus, information processing method, and program

Abstract

To provide an information processing apparatus, an information processing method, and a program that execute effective training related to brain waves.SOLUTION: An information processing apparatus 1 has: a presentation unit that presents, to a user, presentation information affecting the state of brain waves; an acquisition unit that acquires pre-presentation brain wave information indicating the brain waves of a target user before the presentation unit presents the presentation information to the target user, and post-presentation brain wave information indicating the brain waves of the target user after the presentation information is presented; a measurement unit that measures one or more indices related to the change in the state of the brain waves of the target user caused by the presentation of the presentation information, on the basis of the difference between a pre-presentation brain wave state that is the state of brain waves before the presentation information is presented to the target user indicated by the pre-presentation brain wave information acquired by the acquisition unit, and a post-presentation brain wave state that is the state of brain waves after the presentation information is presented to the target user indicated by the post-presentation brain wave information acquired by the acquisition unit; and a setting unit that sets the details of training for improving the brain functions of the target user on the basis of the result of the measurement conducted by the measurement unit.SELECTED DRAWING: Figure 2

Description

[Technical field]

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

[0002] Neurofeedback is known, which improves brain function by making a subject, whose brainwaves are being measured, aware of the state of brainwave measurement and training the subject to adjust his / her brainwaves as intended. For example, Patent Document 1 discloses a device that performs neurofeedback, which is training for a subject to modify his / her own brain activity, so that brainwaves when the subject is relaxed are detected. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Special Publication No. 2020-501625 Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional neurofeedback training, training is performed according to a predetermined training content. However, when training is performed according to a predetermined training content, there are cases where effective training cannot be performed on the subject.

[0005] The present invention has been made in consideration of these points, and has an object to make it possible to carry out effective training related to electroencephalograms. [Means for solving the problem]

[0006] An information processing device according to a first aspect of the present invention has a presentation unit that presents presentation information that affects a brain wave state to a target user; an acquisition unit that acquires pre-presentation brain wave information indicating the brain waves of the target user before the presentation unit presents the presentation information to the target user and post-presentation brain wave information indicating the brain waves of the target user after the presentation information is presented; a measurement unit that measures one or more indicators regarding a change in the brain wave state of the target user due to the presentation of the presentation information based on a difference between a pre-presentation brain wave state, which is the brain wave state before the presentation information is presented to the target user indicated by the pre-presentation brain wave information acquired by the acquisition unit, and a post-presentation brain wave state, which is the brain wave state after the presentation information is presented to the target user indicated by the post-presentation brain wave information acquired by the acquisition unit; and a setting unit that sets the content of training to improve the brain function of the target user based on the results of measurement by the measurement unit.

[0007] The measurement unit may measure at least one of the amount of change in the electroencephalogram state of the target user identified based on the difference between the pre-presentation electroencephalogram state and the post-presentation electroencephalogram state, and the speed of change in the electroencephalogram state, as the one or more indexes.

[0008] The setting unit may set the difficulty level of the training to be higher as the amount of change in the electroencephalogram state of the target user and / or the speed of change in the electroencephalogram state of the target user increases.

[0009] The presentation unit may present, as the presentation information, a message encouraging the target user to change an electroencephalogram state.

[0010] The presentation unit may present, as the presentation information, video content and audio content that have the effect of changing an electroencephalogram state to the target user.

[0011] The training is training to make the target user aware of the measurement state of brain waves by changing the state of training content based on the measurement results of the target user's brain waves, and the measurement unit measures the one or more indicators when the presentation unit presents the video content as the presentation information and the one or more indicators when the presentation unit presents the audio content as the presentation information, and the setting unit may select whether to use video content or audio content as the training content based on the measurement result when the video content is presented and the measurement result when the audio content is presented.

[0012] An information processing method according to a second aspect of the present invention includes the steps of: acquiring pre-presentation electroencephalogram information indicating the electroencephalogram of a target user before presentation information affecting an electroencephalogram state is presented to the target user, the steps of presenting the presentation information to the target user after acquiring the pre-presentation electroencephalogram information, the steps of acquiring post-presentation electroencephalogram information indicating the electroencephalogram of the target user after the presentation information is presented, the steps of measuring one or more indicators related to a change in the electroencephalogram state of the target user due to the presentation of the presentation information based on a difference between a pre-presentation electroencephalogram state, which is the electroencephalogram state before the presentation information is presented to the target user indicated by the acquired pre-presentation electroencephalogram information, and a post-presentation electroencephalogram state, which is the electroencephalogram state after the presentation information is presented to the target user indicated by the acquired post-presentation electroencephalogram information, and the step of setting the content of training to enhance the brain function of the target user based on the measurement results.

[0013] A program according to a third aspect of the present invention causes a computer to function as: a presentation unit that presents presentation information that affects an electroencephalogram state to a target user; an acquisition unit that acquires pre-presentation electroencephalogram information indicating the electroencephalogram of the target user before the presentation unit presents the presentation information to the target user and post-presentation electroencephalogram information indicating the electroencephalogram of the target user after the presentation information is presented; a measurement unit that measures one or more indicators regarding a change in the electroencephalogram state of the target user due to the presentation of the presentation information based on a difference between a pre-presentation electroencephalogram state, which is the electroencephalogram state before the presentation information is presented to the target user indicated by the pre-presentation electroencephalogram information acquired by the acquisition unit, and a post-presentation electroencephalogram state, which is the electroencephalogram state after the presentation information is presented to the target user indicated by the post-presentation electroencephalogram information acquired by the acquisition unit; and a setting unit that sets the content of training to improve the brain function of the target user based on the results of measurement by the measurement unit. Effect of the Invention

[0014] According to the present invention, it is possible to provide an effect of carrying out effective training related to electroencephalograms. [Brief description of the drawings]

[0015] [Figure 1] FIG. 1 is a diagram illustrating an overview of an information processing system. [Diagram 2] FIG. 1 is a diagram illustrating a configuration of an information processing device. [Diagram 3] FIG. 11 is a diagram showing an example of difficulty level setting information. [Figure 4] 4 is a flowchart showing a flow of processing related to the information processing device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] [Outline of Information Processing System S] FIG. 1 is a diagram showing an overview of an information processing system S. The information processing system S is a system for carrying out training related to a user's brainwaves. As shown in FIG. 1, the information processing system S has an information processing device 1, a terminal 2, and an electroencephalogram measuring device 3. The information processing device 1 is a computer communicably connected to the terminal 2 via a communication network such as an Internet line or a mobile phone network. Here, the training related to brainwaves is a training called neurofeedback, in which the information processing device 1 displays training content on the terminal 2, and changes the state of the content based on the amount of change in brainwaves and the rate of change in brainwaves, which are the measurement results of the brainwaves of the target user, to make the target user recognize the measurement state of the brainwaves and improve the brain function of the target user.

[0017] The terminal 2 is, for example, a tablet, a personal computer, a smartphone, etc. The terminal 2 is communicatively connected to an electroencephalogram measuring device 3 that measures the electroencephalogram of the target user via short-distance wireless communication such as Bluetooth (registered trademark), wireless communication such as wireless LAN, or wired communication such as USB (registered trademark). Note that the electroencephalogram measuring device 3 may be communicatively connected to the information processing device 1 via a communication network such as an Internet line or a mobile phone network.

[0018] In this embodiment, when performing training related to electroencephalograms, the information processing device 1 acquires pre-presentation electroencephalogram information indicating the electroencephalogram of the target user before presentation information affecting the state of the electroencephalogram is presented to the target user ((1) in FIG. 1). Next, the information processing device 1 presents the presentation information affecting the state of the electroencephalogram to the target user ((2) in FIG. 1), and acquires post-presentation electroencephalogram information indicating the electroencephalogram of the target user after the presentation information is presented ((3) in FIG. 1).

[0019] The information processing device 1 measures one or more indicators related to a change in the brainwave state of the target user due to the presentation of the presentation information based on the difference between a pre-presentation brainwave state, which is the brainwave state before the presentation information is presented to the target user, as indicated by the acquired pre-presentation brainwave information, and a post-presentation brainwave state, which is the brainwave state after the presentation information is presented to the target user, as indicated by the acquired post-presentation brainwave information ((4) in Figure 1).

[0020] The information processing device 1 sets the content of the training to improve the brain function of the target user based on the measurement results of one or more indicators ((5) in FIG. 1). For example, the information processing device 1 sets the difficulty of the training to improve the brain function of the target user based on the measurement results of one or more indicators. For example, the information processing device 1 sets the difficulty of the training higher the greater the amount of change in the brainwave state of the target user and / or the speed of change in the brainwave state indicated by one or more indicators. Here, the higher the difficulty of the training, the greater the amount of change in the brainwaves of the target user and the speed of change in the brainwaves required to change the state of the content presented in the training.

[0021] The information processing device 1 outputs content related to the set training details to the terminal 2 to perform training related to electroencephalograms ((6) in FIG. 1). In this way, by setting the training details in response to the measurement results of one or more indices related to changes in the electroencephalogram state of the target user, the information processing device 1 can perform effective training related to electroencephalograms.

[0022] [Configuration of information processing device 1] Next, a description will be given of the configuration of the information processing device 1. Fig. 2 is a diagram showing the configuration of the information processing device 1. As shown in Fig. 2, the information processing device 1 includes a communication unit 11, a storage unit 12, and a control unit 13. The communication unit 11 is an interface for connecting to a communication network such as the Internet or a mobile phone network.

[0023] The storage unit 12 is a storage medium including a ROM (Read Only Memory), a RAM (Random Access Memory), etc. The storage unit 12 stores a program executed by the control unit 13. For example, the storage unit 12 stores a program that causes the control unit 13 to function as an acquisition unit 131, a presentation unit 132, a measurement unit 133, a setting unit 134, and a training implementation unit 135.

[0024] The control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 executes the programs stored in the storage unit 12 to function as an acquisition unit 131, a presentation unit 132, a measurement unit 133, a setting unit 134, and a training execution unit 135.

[0025] The acquisition unit 131 and the presentation unit 132 cooperate to acquire pre-presentation electroencephalogram information indicating the electroencephalogram of the target user before presentation information that affects the state of the electroencephalogram is presented to the target user, and post-presentation electroencephalogram information indicating the electroencephalogram of the target user after the presentation information is presented to the target user. Here, the electroencephalogram information is, for example, information indicating the voltage of the electroencephalogram at each of a plurality of times. In other words, the electroencephalogram information is information indicating the change in the voltage of the electroencephalogram over time.

[0026] First, when the acquiring unit 131 receives a request to carry out training to improve brain function from the terminal 2, it instructs the EEG measuring device 3 to measure the EEG of the target user via the terminal 2. Then, the acquiring unit 131 acquires, via the terminal 2, pre-presentation EEG information that indicates the EEG of the target user during a predetermined period before the presentation unit 132 presents to the target user presentation information that affects the state of the EEG, as measured by the EEG measuring device 3.

[0027] Next, the presentation unit 132 presents the presentation information that affects the state of the brainwave to the target user. The presentation information is, for example, a message for encouraging the user to change the state of the brainwave, such as "Think of something pleasant." The presentation unit 132 presents the message to the target user by displaying the message on the terminal 2 as the presentation information.

[0028] Here, the presentation unit 132 may present to the target user, as presentation information, at least one of video content and audio content, which is content having the effect of changing the target user's brain wave state, along with a message urging the target user to change the state of his or her brain waves.

[0029] In this case, the video content and audio content are contents that have been confirmed in advance to have the effect of changing the brain waves of multiple users, and are stored in the storage unit 12. The presentation unit 132 transmits to the terminal 2 a message urging the target user to change the state of his / her brain waves, and the video content and audio content stored in the storage unit 12, and causes the terminal 2 to display the message and the video indicated by the video content, and also causes the terminal 2 to output the audio indicated by the audio content. In this way, the information processing device 1 can increase the amount of change in the state of the user's brain waves.

[0030] After the presentation unit 132 presents the presentation information to the target user, the acquisition unit 131 instructs the EEG measuring device 3 to measure the brain waves of the target user via the terminal 2. Here, after the presentation unit 132 presents the presentation information to the target user means after the presentation unit 132 starts presenting the presentation information to the target user, but is not limited to this and may be after the presentation unit 132 finishes presenting the presentation information to the target user. The acquisition unit 131 acquires post-presentation brain wave information via the terminal 2, which indicates brain waves of the target user for a predetermined period of time after the presentation unit 132 presents the presentation information to the target user, measured by the EEG measuring device 3.

[0031] Note that the acquisition unit 131 acquires pre-presentation electroencephalogram information indicating the electroencephalogram of the target user before the presentation unit 132 presents the presentation information affecting the electroencephalogram state to the target user, and it is preferable that the electroencephalogram state indicated by this pre-presentation electroencephalogram information is a resting electroencephalogram state in which the target user is at rest and the amount of change in the electroencephalogram state is small. For this reason, before the acquisition unit 131 acquires the pre-presentation electroencephalogram information, the presentation unit 132 may present the target user with a message encouraging the user to rest, and the acquisition unit 131 may acquire the pre-presentation electroencephalogram information after the message is presented.

[0032] The measurement unit 133 measures one or more indicators related to a change in the brainwave state of the target user due to the presentation of the presentation information, based on the difference between a pre-presentation brainwave state, which is the brainwave state before the presentation information is presented to the target user, as indicated by the pre-presentation brainwave information acquired by the acquisition unit 131, and a post-presentation brainwave state, which is the brainwave state after the presentation information is presented to the target user, as indicated by the post-presentation brainwave information acquired by the acquisition unit 131.

[0033] The measurement section 133 measures at least one of the amount of change in the electroencephalogram state of the target user identified based on the difference between the pre-presentation electroencephalogram state and the post-presentation electroencephalogram state, and the speed of change in the electroencephalogram state, as one or more indices.

[0034] For example, the measurement unit 133 analyzes the pre-presentation EEG information to identify the average value of the amplitude of theta waves before the presentation information is presented as the pre-presentation EEG state. Similarly, the measurement unit 133 analyzes the post-presentation EEG information to identify the average value of theta waves after the presentation information is presented as the post-presentation EEG state. The measurement unit 133 identifies the amount of change in the average value of theta waves after the presentation information is presented relative to the average value of theta waves before the presentation information is presented as the first index.

[0035] Moreover, the measurement unit 133 analyzes the pre-presentation EEG information and the post-presentation EEG information to identify the maximum amplitude of theta waves before and after the presentation information is presented. Then, the measurement unit 133 identifies, as a second index, the amount of change in the maximum amplitude of theta waves after the presentation information is presented relative to the maximum amplitude of theta waves before the presentation information is presented.

[0036] In addition, by analyzing the post-presentation electroencephalogram information, the measurement unit 133 identifies, as a third index, the time from when the presentation information is presented to the target user until the amplitude of theta waves reaches its maximum value.

[0037] The setting unit 134 sets the content of training for enhancing the brain function of the target user based on at least one of the first index, the second index, and the third index obtained as a result of measurement by the measurement unit 133. The setting unit 134 sets the difficulty level of the training to be higher the greater the amount of change in the electroencephalogram state of the target user and / or the speed of change in the electroencephalogram state of the target user.

[0038] Specifically, first, the setting unit 134 calculates a first partial score used to set the difficulty level of training based on the magnitude of the change in the electroencephalogram state of the target user indicated by the first index. For example, the setting unit 134 increases the first partial score as the change in the average value of theta waves increases.

[0039] Here, the larger the partial score, the higher the difficulty of the training is set, and the greater the amount and rate of change in the target user's brain waves required to change the state of the content presented in the training.

[0040] For example, if the state of the content is changed in training for a target user whose electroencephalogram state changes relatively greatly due to the presentation of presentation information, even if the change in the electroencephalogram state is small, the state of the content will change even if the target user is not conscious of increasing the change in the electroencephalogram state, and the effect of the training will be reduced. In contrast, the greater the partial score, the higher the difficulty of the training is set. As a result, for a target user whose electroencephalogram state changes relatively greatly, the state of the content cannot be changed unless the change in the electroencephalogram state becomes sufficiently large in training, so that training suitable for a target user whose electroencephalogram state tends to change greatly can be implemented.

[0041] Conversely, if a target user whose brainwave state changes little when presented with the presentation information is trained in the same way as a target user whose brainwave state changes normally, the state of the content will not change even if the target user tries to change the brainwave state, and the training effect will be low. In contrast, if the partial score is small, the difficulty of the training is set low. As a result, for a target user whose brainwave state changes relatively little, the state of the content can be changed even if the change in the brainwave state is small during training, so that training suitable for a target user whose brainwave state tends to change little can be performed.

[0042] Similarly, the setting unit 134 calculates a second partial score used to set the difficulty of the training based on the magnitude of the change in the electroencephalogram state of the target user indicated by the second index. For example, the setting unit 134 increases the second partial score as the change in the maximum value of theta waves increases. Similarly, the setting unit 134 calculates a third partial score used to set the difficulty of the training based on the magnitude of the speed of change in the electroencephalogram state of the target user indicated by the third index. For example, the setting unit 134 increases the third partial score as the speed of change in the electroencephalogram state of the target user increases. The setting unit 134 calculates a total score of the first partial score, the second partial score, and the third partial score.

[0043] The storage unit 12 stores difficulty level setting information that associates a range of the total score with the difficulty level of the training. FIG. 3 is a diagram showing an example of the difficulty level setting information. As shown in FIG. 3, it can be seen that the higher the total score, the higher the difficulty level of the training. The setting unit 134 refers to the difficulty level setting information and sets the difficulty level of the training corresponding to the calculated total score as the difficulty level of the training for the target user.

[0044] The training implementation unit 135 implements training related to electroencephalograms in response to the difficulty level of training for the target user set by the setting unit 134. As described above, training related to electroencephalograms is a neurofeedback in which the information processing device 1 displays training content on the terminal 2, and, on condition that the amount of change in electroencephalograms or the rate of change in electroencephalograms, which are the measurement results of the electroencephalograms of the target user, exceeds a predetermined threshold, changes the state of the content, thereby making the target user aware of the measurement state of the electroencephalograms.

[0045] Here, the training content is assumed to be, for example, video content or audio content. When the training content is video content, the training implementation unit 135 first displays the video content on the terminal 2 in a blurred state, and when the amount of change in the brainwaves or the rate of change in the brainwaves of the target user exceeds a predetermined threshold, displays the video content on the terminal 2 in a clear state. When the training content is audio content, the training implementation unit 135 first outputs the audio content to the terminal 2 with noise added, and when the amount of change in the brainwaves or the rate of change in the brainwaves of the target user exceeds a predetermined threshold, outputs the audio content to the terminal 2 without adding noise to the audio content.

[0046] The training execution unit 135 sets the predetermined threshold to a value corresponding to the difficulty level set by the setting unit 134. For example, the higher the difficulty level set by the setting unit 134, the higher the predetermined threshold value set by the training execution unit 135. As a result, the higher the difficulty level, the less likely the state of the content to change even if the amount of change in the electroencephalogram or the rate of change in the electroencephalogram of the target user changes significantly.

[0047] When the difficulty level set by the setting unit 134 is relatively low, the training implementation unit 135 may output, to the terminal 2, stimulation information such as audio and video that promotes a change in the electroencephalogram state during training, in addition to the content to be output to the terminal 2. In this way, the information processing device 1 can support a target user, for whom the difficulty level is set low and who has a small amount or rate of change in the electroencephalogram, in changing the electroencephalogram state.

[0048] [Operation flow] Next, a description will be given of the flow of processing related to the information processing device 1. Fig. 4 is a flowchart showing the flow of processing related to the information processing device 1. The flowchart in Fig. 4 is assumed to start when a request to implement training for improving brain function is accepted.

[0049] First, the acquisition unit 131 instructs the EEG measuring device 3 to measure the EEG of the target user, and acquires pre-presentation EEG information via the terminal 2, which indicates the EEG of the target user during a predetermined period before the presentation information is presented to the target user, as measured by the EEG measuring device 3 (S1).

[0050] Next, the presentation unit 132 outputs the presentation information to the terminal 2 (S2), and presents the presentation information to the user. Next, the acquisition unit 131 instructs the EEG measuring device 3 to measure the EEG of the target user, and acquires post-presentation EEG information via the terminal 2, which indicates the EEG of the target user for a specified period of time after the presentation information is presented to the target user, as measured by the EEG measuring device 3 (S3).

[0051] Next, the measurement unit 133 measures one or more indicators related to a change in the brainwave state of the target user due to the presentation of the presentation information based on the difference between a pre-presentation brainwave state, which is the brainwave state before the presentation information is presented to the target user as indicated by the pre-presentation brainwave information, and a post-presentation brainwave state, which is the brainwave state after the presentation information is presented to the target user as indicated by the post-presentation brainwave information (S4).

[0052] Next, the setting unit 134 sets the difficulty level of the training for enhancing the brain function of the target user based on the index measured by the measurement unit 133 (S5). Next, the training implementation unit 135 implements training related to electroencephalograms for the target user at the difficulty level set by the setting unit 134 (S6).

[0053] [Variation 1] In the above-described embodiment, the measurement unit 133 analyzed the pre-presentation EEG information and the post-presentation EEG information to measure the change in the average amplitude of theta waves before and after the presentation of the presentation information, the change in the maximum amplitude of theta waves, and the time from the presentation of the presentation information to the time when the amplitude of theta waves reaches its maximum as indicators for setting the content of the training, but this is not limited to this.

[0054] The measurement unit 133 may analyze the pre-presentation electroencephalogram information and the post-presentation electroencephalogram information to determine the standard deviation of the amplitude of theta waves before the presentation information is presented and the standard deviation of the amplitude of theta waves after the presentation information is presented. The measurement unit 133 may determine, as an index, the amount of change in the standard deviation of the amplitude of theta waves after the presentation information is presented relative to the standard deviation of the amplitude of theta waves before the presentation information is presented. In addition, the measurement unit 133 analyzes the pre-presentation electroencephalogram information and the post-presentation electroencephalogram information to measure the index based on theta waves of the electroencephalograms, but is not limited thereto and may measure the index based on alpha waves.

[0055] [Variation 2] In addition, in the above-described embodiment, the training content is, for example, video content or audio content, but the setting unit 134 may select whether to use video content or audio content as the training content.

[0056] In this case, the presentation unit 132 presents video content and audio content as presentation information to the target user at different times, and the acquisition unit 131 acquires first post-presentation electroencephalogram information, which is post-presentation electroencephalogram information after the video content is presented, and second post-presentation electroencephalogram information, which is post-presentation electroencephalogram information after the audio content is presented.

[0057] The measurement unit 133 measures one or more indices based on first post-presentation electroencephalogram information acquired by the acquisition unit 131 when the presentation unit 132 presents video content as presentation information, and one or more indices based on second post-presentation electroencephalogram information acquired by the acquisition unit 131 when the presentation unit 132 presents audio content as presentation information. The setting unit 134 selects whether to use the video content or the audio content as training content, based on the measurement result when the video content is presented and the measurement result when the audio content is presented.

[0058] For example, when the first total score, which is a total score calculated based on one or more indices based on the first post-presentation electroencephalogram information, is greater than the second total score, which is a total score calculated based on one or more indices based on the second post-presentation electroencephalogram information, the setting unit 134 selects video content as the training content, and when the first total score is smaller than the second total score, the setting unit 134 selects audio content as the training content. In this way, the information processing device 1 can carry out training using content suitable for enhancing the brain function of the target user.

[0059] [Effects of this embodiment] As described above, the information processing device 1 according to the present embodiment acquires pre-presentation electroencephalogram information indicating the electroencephalogram of the target user before the presentation information that affects the electroencephalogram state is presented to the target user, and post-presentation electroencephalogram information indicating the electroencephalogram of the target user after the presentation information is presented, and measures one or more indicators related to the change in the electroencephalogram state of the target user due to the presentation of the presentation information based on the difference between the pre-presentation electroencephalogram state, which is the electroencephalogram state before the presentation information is presented to the target user indicated by the pre-presentation electroencephalogram information, and the post-presentation electroencephalogram state, which is the electroencephalogram state after the presentation information is presented to the target user indicated by the post-presentation electroencephalogram information, and sets the content of training to improve the brain function of the target user based on the measurement result. In this way, the information processing device 1 can perform effective training related to electroencephalograms.

[0060] Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the present invention. For example, all or part of the device can be configured by distributing or integrating functionally or physically in any unit. In addition, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effect of the new embodiment resulting from the combination combines the effect of the original embodiment. [Explanation of symbols]

[0061] 1. Information processing device 2. Terminal 3. Electroencephalography equipment 11 Communications Department 12 Storage section 13 Control section 131 Acquisition Department 132 Presentation section 133 Measuring section 134 Setting section 135 Training Implementation Department S Information Processing System

Claims

1. A presentation unit that presents presentation information that affects a state of an electroencephalogram to a target user; an acquisition unit that acquires pre-presentation electroencephalogram information indicating an electroencephalogram of the target user before the presentation unit presents the presentation information to the target user, and post-presentation electroencephalogram information indicating an electroencephalogram of the target user after the presentation information is presented; a measurement unit that measures one or more indicators related to a change in the electroencephalogram state of the target user due to the presentation of the presentation information based on a difference between a pre-presentation electroencephalogram state, which is an electroencephalogram state before the presentation information is presented to the target user, indicated by the pre-presentation electroencephalogram information acquired by the acquisition unit, and a post-presentation electroencephalogram state, which is an electroencephalogram state after the presentation information is presented to the target user, indicated by the post-presentation electroencephalogram information acquired by the acquisition unit; A setting unit that sets the content of training for improving the brain function of the target user based on the result of the measurement by the measurement unit; An information processing device having the above configuration.

2. The measurement unit measures at least one of an amount of change in the electroencephalogram state of the target user identified based on a difference between the pre-presentation electroencephalogram state and the post-presentation electroencephalogram state and a speed of change in the electroencephalogram state as the one or more indexes. The information processing device according to claim 1 .

3. The setting unit sets the difficulty level of the training to be higher as at least one of the amount of change in the electroencephalogram state of the target user and the speed of the change in the electroencephalogram state of the target user is larger. The information processing device according to claim 2 .

4. The presentation unit presents, as the presentation information, a message encouraging the target user to change an electroencephalogram state. The information processing device according to claim 1 .

5. The presentation unit presents, as the presentation information, video content and audio content that are content having an effect of changing an electroencephalogram state to the target user. The information processing device according to claim 1 .

6. The training is training for making the target user recognize a measurement state of an electroencephalogram by changing a state of a training content based on a measurement result of an electroencephalogram of the target user, the measurement unit measures the one or more indicators when the presentation unit presents the video content as the presentation information, and the one or more indicators when the presentation unit presents the audio content as the presentation information; The setting unit selects whether to use the video content or the audio content as the training content based on a result of the measurement when the video content is presented and a result of the measurement when the audio content is presented. The information processing device according to claim 5 .

7. The computer executes acquiring pre-presentation electroencephalogram information indicating an electroencephalogram of a target user before presentation information that affects a state of an electroencephalogram is presented to the target user; presenting the presentation information to a target user after acquiring the pre-presentation electroencephalogram information; acquiring post-presentation electroencephalogram information indicating an electroencephalogram of the target user after the presentation information is presented; measuring one or more indexes relating to a change in the brainwave state of the target user due to the presentation of the presentation information based on a difference between a pre-presentation brainwave state, which is an brainwave state before the presentation information is presented to the target user, indicated by the acquired pre-presentation brainwave information, and a post-presentation brainwave state, which is an brainwave state after the presentation information is presented to the target user, indicated by the acquired post-presentation brainwave information; A step of setting a training content for enhancing the brain function of the target user based on the measurement result; An information processing method comprising the steps of:

8. Computer, A presentation unit that presents presentation information that affects the state of the brainwaves to the target user; an acquisition unit that acquires pre-presentation electroencephalogram information indicating an electroencephalogram of the target user before the presentation unit presents the presentation information to the target user, and post-presentation electroencephalogram information indicating an electroencephalogram of the target user after the presentation information is presented; a measurement unit that measures one or more indicators related to a change in the brainwave state of the target user due to the presentation of the presentation information based on a difference between a pre-presentation brainwave state, which is an brainwave state before the presentation information is presented to the target user, indicated by the pre-presentation brainwave information acquired by the acquisition unit, and a post-presentation brainwave state, which is an brainwave state after the presentation information is presented to the target user, indicated by the post-presentation brainwave information acquired by the acquisition unit; and A setting unit that sets the content of training for enhancing the brain function of the target user based on the result of the measurement by the measurement unit; A program that functions as a

Images