JP2010233719A - Action choice presentation method and apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an action choice presentation method for presenting choices of an action to a user on the basis of a mental state determined by the observation result of brain waves over two or more bands. <P>SOLUTION: A brain wave measuring step of measuring the brain wave of a user, an information processing step of analyzing the brain wave, determining which of two or more kinds of brain states it is pertinent to, and outputting a determined result, and a choice presenting step of presenting the choices of the action to the user according to the determined brain state, are performed. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a behavior option presentation method and apparatus for presenting a user with behavior options after measurement based on a measurement result of a user's brain wave.

  As a method for evaluating the mental state of the user, there are mental function testing methods such as Trail Making Test (TMT) and further Advanced Trail Making Test (ATMT) (see Patent Document 1) developed from TMT. A mental function test by the TMT method was developed to suggest general impairment of information processing and attention. Furthermore, the mental function test based on the ATMT method, which is an extension of the TMT method, quantitatively evaluates the visuospatial working memory (VWM) by responding to a visual stimulus response using a touch panel or the like. This method can be inspected without being influenced by intelligence, years of education, and learning effects due to repetition, and is positioned as a method having high reproducibility and reliability.

  In addition, a technique is known that provides information content that matches a user's preference according to the preference corresponding to the user's mental condition (see Patent Document 2). Here, there is disclosed a technique for discriminating whether a user likes or dislikes by an α wave under a certain problem.

JP 2002-112981 A Japanese Patent Laid-Open No. 2004-70510

  Since the mental function test of Patent Document 1 does not include electroencephalogram measurement, it is not a mental state evaluation method that directly reflects the state of the brain.

  Moreover, it is difficult to discriminate between likes and dislikes only by observing only one brain wave band (α wave) as in the method of Patent Document 2. In other words, even if the degree of likes and dislikes expressed by the activation intensity (scalar amount) is known, it cannot be determined as a meaning (vector amount) of like or dislike. Moreover, since the waveform (especially absolute amount) of the electroencephalogram differs depending on the measurement (yesterday and today, morning and night, etc.), it cannot be uniquely determined.

  An object of the present invention is to provide an action option presentation method and apparatus capable of presenting action options based on a mental state determined by an electroencephalogram observation result over a plurality of bands.

  The action option presentation method of the present invention includes an electroencephalogram measurement step that measures a user's electroencephalogram, and an information processing step that analyzes the electroencephalogram and determines which one of a plurality of types of brain states corresponds and outputs a determination result And an option presentation step of presenting the user with action options according to the determination result.

  According to the action option presentation method and apparatus of the present invention, it is possible to present action options based on the mental state determined by the observation result of the electroencephalogram over a plurality of bands.

The figure which shows the function structural example of the action choice presentation apparatus 100. FIG. The figure which shows the example of a processing flow of the action choice presentation apparatus 100. The figure explaining the name of each part in the response response waveform relevant to the event. The figure which shows the example of the frequency spectrum of the electroencephalogram at the time of resting, concentration, and meditation in the state where the brain has vitality. The figure which shows the example of the frequency spectrum of the electroencephalogram at the time of resting, concentration, and meditation in the state where the brain has no vitality.

  FIG. 1 shows a functional configuration example of the action option presentation device 100 of the present invention, and FIG. The action option presentation device 100 includes an electroencephalogram measurement unit 101, an information processing unit 102, and an option presentation unit 103.

  The electroencephalogram measurement unit 101 measures the electroencephalogram of the user 1 through the exploration electrode 2 attached to the user 1 (S1). The measurement is performed according to the state determination method in the information processing unit 102, for example, “an electroencephalogram of an evoked potential by various stimuli to the five senses”, “event-related potential at the time of various stimuli to the five senses and at various tasks (such as a calculation task). "EEG" and "EEG during various tasks".

The information processing unit 102 analyzes the electroencephalogram measured by the electroencephalogram measurement unit 101, determines which one of a plurality of types of brain states corresponds, and outputs a determination result (S2). The analysis is performed by paying attention to the following events, for example.
・ Frequency and phase of specific frequency components (α wave, β wave, θ wave, etc.) of brain waves ・ Correlation between each frequency component (which component is strong, how the dominant component changes at the time of the task) Or the like)
-Responses related to events (displacement such as brain wave intensity, vertex amplitude, vertex latency, baseline / vertical amplitude, rise, fall, etc. at a certain time interval or time. Each of these names in the response response waveform indicates (See Figure 3 for the part.)
・ Time until the maximum intensity of the electroencephalogram frequency changes to a specific frequency or changes to a specific intensity at a specific frequency or fluctuations for each stimulus presentation (fluctuation, correlation with other frequency components, event-related potential, etc.)
Based on such events, a plurality of types of brain states are defined in advance. Then, the electroencephalogram measured by the electroencephalogram measurement unit 101 is analyzed, and it is determined which of the plural types of brain states the analysis result corresponds to.

  The option presenting unit 103 presents action options to the user 1 in accordance with the state determination result in the information processing unit 102. The options may be presented based solely on the state determination result, or personal information such as the user's environment, innate elements, preferences, etc., the result of the mental function test of Patent Document 1, and the like are taken into account. May be presented. In addition, when presenting action options, social information such as weather, economy, and events, and advertisements may be presented according to the options. Further, the selection result in the presented options may be stored, and the tendency may be analyzed and reflected in the subsequent option presentation. When inputting personal information of a user, for example, body data, health check data, lifestyle data, dietary data, and the like may be used as input items. Specifically, the body data includes date of birth, height, weight, sex, blood type, body fat percentage, and the like. Examples of the medical examination data include visual acuity, blood pressure, X-ray examination data, urine examination data, blood examination data, electrocardiogram examination data, and disease (disease) name. Examples of the lifestyle data include religion and ideology, living area, amount of exercise, sleep time, work content, hobbies (reading, sports, cooking, etc.). The dietary data includes meal menus and items for each time, meal time, daily alcohol intake, the number of cigarettes, and the like. Each piece of information and action option data may be stored in the option presentation device 103 itself, or may be stored in the database 104 and accessed via the network 105 or the local area. When it is accessed via a network, information and action options can be shared by multiple people.

Hereinafter, a specific example in which the user's state is determined from the electroencephalogram and action options are presented will be described.
First, in the electroencephalogram measurement unit 101, there are three events: when resting (at the start of measurement), when giving a task that requires concentration (when concentrating), and when giving a task that can be relaxed (during meditation) Below, the intensity | strength of each frequency component of a user's brain wave is measured. In general, it is known that a β wave appears at rest, an α wave appears during concentration, and a θ wave appears during meditation. Of these three events, “concentration” and “meditation” do not necessarily have to be “concentration” and “meditation”, but EEG is measured under conflicting events such as “concentration” and “meditation”. By doing so, the state of the user can be estimated with higher accuracy.

  Subsequently, in the information processing unit 102, regarding the brain wave measured by the brain wave measuring unit 101, the frequency 4 Hz to 7 Hz corresponds to the θ wave, 8 Hz to 13 Hz corresponds to the α wave, and 14 Hz to 30 Hz corresponds to the β wave. The intensity of each frequency component of the electroencephalogram is compared under each event during meditation, and the state of the user is determined from the correlation of the comparison results.

For example, when all of the following three conditions are satisfied (see FIG. 4), it is determined that the brain has vitality.
When comparing the intensity of each frequency component at rest, the intensity of the frequency component (14 Hz to 30 Hz) corresponding to the β wave is greater than the intensity of the other frequency components.
When comparing the intensity of each frequency component at the time of concentration, the intensity of the frequency component (8 Hz to 13 Hz) corresponding to the α wave is greater than the intensity of the other frequency components.
When comparing the intensity of each frequency component during meditation, the intensity of the frequency component (4 Hz to 7 Hz) corresponding to the θ wave is greater than the intensity of the other frequency components.

  Also, at all times of rest, concentration, and meditation, if the intensity of the frequency component equivalent to the β wave is greater than the intensity of other frequency components (see Fig. 5), it is determined that the brain is inactive. To do.

In order to determine a more detailed brain state, the brain waves at rest, concentration, and meditation are measured at regular time intervals, and the time until a specific frequency component reaches a predetermined intensity The above-mentioned two types of brain states (active or not) are further subdivided and set according to the time taken for a specific electroencephalogram component (one of α, β, θ) to reach a dominant state. May be. In this way, it is possible to present information adapted to a more detailed brain state. In this case, the determination of the state of the brain can be realized by the following procedure.
(1) Measure EEG at rest, concentration and meditation at regular time intervals, and analyze frequency components and intensity.
(2) By comparing the frequency component and intensity change (relative value and differential value) at each time, it is determined which one of a plurality of types of brain states determined in advance corresponds.

  In addition, by storing the history of measurement results and comparing it with the past EEG status, it is possible to determine changes in the brain status over time such as how the current brain status has changed compared to yesterday. It can also be reflected in the information presented.

Then, the option presentation unit 103 responds to the state determination result in the information processing unit 102,
When it is determined that there is a vitality, options full of vitality are presented, and when it is determined that there is no vitality, options that increase vitality are presented. For example, when it is determined that there is no vitality, it is possible to present “watch movie”, “eat beef bowl”, “go to amusement park”, “wear red clothes” as action options. It is done. Further, in conjunction with this presentation, for example, an advertiser's discount coupon or product information may be presented for “eating beef bowl”. Specifically, since the user was before lunch, if the user selected “eat beef bowl”, he / she registered as an advertiser among A company, B company, C company, D company, and E company as beef bowl stores. Discount coupons such as coupons of company B and merchandise information are presented. By linking information presentation in this way, advertisers can increase sales and users can receive better services.

  As described above, the action option presentation method and apparatus of the present invention compares the intensity of each frequency component of an electroencephalogram under a plurality of events, and determines the state of the brain based on the correlation of the comparison results. Whether or not he / she likes or dislikes can be determined not only by the degree of liking / dislike (scalar amount) as in the past, but also by the content of liking / dislike (vector amount). In addition, for multiple events, by using tasks that have distinctive differences in the frequency spectrum of brain waves, such as when concentrating and meditation, the fluctuation (dynamic range) between tasks is increased, and the difference in user status Sensitivity can be increased.

  Therefore, it is possible to present action options that appropriately reflect the mental state of the user at the time of use. Moreover, the choice of action can be shown according to a user's mental state and social information which change every day. Furthermore, it is possible to weight the choices by the advertiser and to provide advertisements and services according to user preferences. It can also be used for announcements of new products.

Claims (8)

An electroencephalogram measurement step for measuring a user's electroencephalogram,
An information processing step of analyzing the electroencephalogram, determining which one of a plurality of types of brain states corresponds, and outputting a determination result;
In accordance with the determination result, an option presenting step for presenting the user with action options,
A method for presenting action choices. The action option presenting method according to claim 1,
The above measurements are performed under multiple events such as rest, task, and stimulus.
The action option presenting method for determining the state of the brain by comparing the electroencephalograms under the plurality of events. The action option presenting method according to claim 2,
The above events are resting, concentrating, meditation,
A method for presenting action options in which the state of the brain is determined based on the correlation of the comparison results by comparing the intensity of each frequency component of the electroencephalogram under each event of rest, concentration and meditation. The action option presentation method according to any one of claims 1 to 3,
The action option presenting method in which the action options are presented in consideration of the user characteristics such as innate elements and preferences and the mental function test results of the user in addition to the determination result. An electroencephalogram measurement unit that measures the user's electroencephalogram,
An information processing unit that analyzes the electroencephalogram, determines which one of a plurality of types of brain states corresponds to, and outputs a determination result;
In accordance with the determination result, an option presenting unit that presents the user with action options;
An action option presentation device comprising: The action option presentation device according to claim 5,
The above measurements are performed under multiple events such as rest, task, and stimulus.
The action option presentation device for determining the state of the brain by comparing the brain waves under the plurality of events. The action option presentation device according to claim 6,
The above events are resting, concentrating, meditation,
The action option presenting device for comparing the intensity of each frequency component of an electroencephalogram under each event of rest, concentration, and meditation, and determining the brain state based on the correlation of the comparison results. The action option presentation device according to any one of claims 5 to 7,
The action option presenting apparatus presenting the action options in consideration of the user characteristics such as innate elements and preferences and the user's mental function test result in addition to the determination result.

Images