KR102060863B1 - Apparatus and method of cognitive load measurement for using physiological psychological reaction data and recall stimulus reaction data - Google Patents

Abstract

The present invention relates to a cognitive load measuring method and a cognitive load measuring apparatus using physiological psychological response information and recall stimulus response information. After collecting the learner's physiological psychological response information through the original training image, the same content as the original training image is obtained. Collect the recall stimulus response information according to the learner's recall stimulus on the learning content through the marking learning image including, and the recognition of the learner recalled for each learning section through the marking learning image using the physiological psychological response information and the recall stimulus response information. Determine the load.

Description

Cognitive load measuring method and cognitive load measuring device using physiological psychological response information and recall stimulus response information TECHNICAL FIELD

The present invention relates to a cognitive load measuring method and a cognitive load measuring device, and more specifically, to learn a learning image using the learner's physiological psychological response information on the learning image and the recall stimulus response information by the recall stimulation on the learning image. The present invention relates to a method and apparatus for determining a cognitive load of a learner generated in the course of doing so.

With the development of information and communication technology, video learning through smart devices is becoming active worldwide. Such learning takes the form of microlearning mainly focused on short videos, and unlike the existing face-to-face learning, the learner does not need to take extra time for learning. In addition, the demand for accessibility and simplicity of learning contents is increasing.

However, despite the fact that learning using video contents is being activated, most video learning has relatively inadequate instructional design in the procedural composition and delivery of learning contents, compared to the traditional class in the classroom. Is done. Due to the change to the place of study and learner-centered learning, there is a limit to applying the existing teaching design to video learning. Therefore, a new teaching design suitable for video learning is needed. For effective instructional design, the cognitive load of learners should be considered.

Recently, attention-returning techniques for observing learners' cognitive processes have been attracting attention. The recurrence stimulation technique can closely observe the cognitive load of learners in the learning process and identify the learning section in which the cognitive load occurred. However, the box-playing technique has a limitation in that it is a labor-intensive research method in which the researcher must analyze the response of the subject because it relies on the intuition of the researcher in selecting the box.

There is a need for a method to more effectively grasp the cognitive load of learners who learn the learning images while overcoming the limitations of the retrospective technique.

Korean Laid-Open Publication No. 2015-0076167 (2015.07.06 release)

The present invention provides a method and apparatus for guaranteeing a cognitive state of a learner according to a relationship between a physiological state and a psychological state of a learner learning a learning image by collecting physiological psychological response information appearing to a learner learning a learning image.

The present invention collects recall stimulus response information according to the learner's recall stimulus in the process of re-learning the same learning image as the learner's learning image to collect physiological psychological response information, and according to the learning contents constituting the learning image. Provided are a method and apparatus for more accurately tracking a recall stimulator for inducing a recall stimulus for a previously learned learning image.

The present invention compares the cognitive state of the learning image according to the learner's physiological psychological response information and the cognitive state of the learning image according to the learner's recall stimulus response information, thereby learning the cognitive load of the learner in the process of learning the learning image. The present invention provides a method and apparatus for identifying a learning time point of an image and further designing a learning level and a learning guidance method suitable for a learner's cognitive level.

A cognitive load measuring method according to an embodiment includes collecting physiological psychological response information for identifying a change in a physiological state and a psychological state of a learner learning an original learning image; When the learning of the original learning image is completed, reproducing a marking learning image including the same learning contents as the learning original original learning image; Collecting recall recall stimulus response information marked on the marking learning image in response to a recall stimulus of a learner learning the marking learning image; And determining the cognitive load of the learner recalled with respect to the original learning image by using the learner's physiological psychological response information and the recall stimulus response information.

The collecting of physiological psychological response information according to an embodiment may include physiological psychological response including brain wave information measuring wave of the learner's brain, pupil size information measuring pupil change of the learner, and heart rate variation information of the learner Information can be collected.

The collecting of the recall stimulus response information according to an embodiment may include: recording the learning contents recalled in the process of learning a marking learning image from the learner; Classifying a learning section of the marking learning image by using a generation time of the marker marked by the learner; And classifying a recall stimulus feature for each marker marked on the marking learning image based on the recorded learning contents.

The determining of the cognitive load according to an embodiment may include measuring a degree of change in physiological psychological response information on the original learning image; Comparing the cognitive load estimated through the degree of change in the physiological psychological response information of the learner and the cognitive load confirmed through the recall stimulus response information of the learner; Identifying the range and section of the learner's physiological psychological response information that can be explained by the learner's recalled cognitive load in the learning process from the comparison result; And measuring the cognitive load of the learner recalled on the original learning image based on the range and the section of the identified physiological psychological response information of the learner.

In the measuring of the degree of change in physiological psychological response information according to an embodiment, the degree of change in brain wave information of the physiological psychological response information may be measured using the perceptual response of the brain represented by the learner's cognitive load.

Measuring the degree of change in the physiological psychological response information according to an embodiment is to measure the degree of change in the pupil size information of the physiological psychological response information by using whether the expansion according to the change in the size of the pupil represented as the cognitive load of the learner Can be.

Measuring the degree of change of physiological psychological response information according to an embodiment of the present invention uses the rate of change in heart rate variation according to the change in the interval of the heart rate cycle represented by the learner's cognitive load. It can be measured.

Measuring the learner's recalled cognitive load according to an embodiment of the present invention is to learn the original learning image showing each peak value according to the degree of change of brain wave information, pupil size information and heart rate variation information including the physiological psychological response information It is possible to compare the learning section of the marking learning image in which the peak and the peak value according to the degree of change in the cognitive load can be compared.

A cognitive load measuring apparatus according to an embodiment may include a physiological psychological response information collecting unit configured to collect physiological psychological response information for identifying a change in a physiological state and a psychological state of a learner learning an original learning image; When the learning of the original learning image is completed, the marking learning image playback unit for reproducing the marking learning image including the same learning content as the original learning image is completed learning; A recall stimulus response information collecting unit configured to collect recall stimulus response information marked on the marking learning image in response to a recall stimulus of a learner learning the marking learning image; And a cognitive load determiner configured to determine a cognitive load of the learner recalled with respect to the original learning image by using the learner's physiological psychological response information and the recall stimulus response information.

The recall stimulus response information collection unit may include: a learning content recording unit in which learning contents recalled in a process of learning a marking learning image from the learner are recorded; A learning section division unit for classifying a learning section of the marking learning image by using a generation time of the marker marked by the learner; And a recall stimulus feature classifier classifying the recall stimulus feature for each marker marked on the marking learning image based on the recorded learning content.

Cognitive load determination unit according to an embodiment change information measuring unit for measuring the degree of change of physiological psychological response information for the original learning image; And the cognitive load that can be estimated through the degree of change in the physiological psychological response information of the learner and the cognitive load identified through the learner's recall stimulus response information, and described as the recalled cognitive load of the learner in the learning process from the comparison result. A cognitive load measuring unit may be configured to identify ranges and sections of possible learner's physiological psychological response information and to measure the learner's recalled cognitive load on the original learning image based on the identified ranges and sections of the learner's physiological psychological response information. Can be.

According to an embodiment, the cognitive load measuring unit changes the learning interval and the cognitive load of the original learning image in which each peak value according to the degree of change of brain wave information, pupil size information, and heart rate variation information including the physiological psychological response information is shown. It is possible to compare the learning sections of the marking learning images in which peak values according to the degree are shown.

A method and apparatus for measuring cognitive load according to an embodiment collects physiological psychological response information appearing to a learner learning a learning image to determine a learner's cognitive state according to a relationship between a physiological state and a psychological state of the learner learning the learning image. Can be.

The method and apparatus for measuring cognitive load according to an embodiment collects recall stimulus response information according to a learner's recall stimulus in a process of re-learning the same learning image as the learner's learning image to collect physiological psychological response information. According to the learning contents constituting the learning image, it is possible to more accurately track the recall stimulator for inducing the recall stimulation for the previously learned learning image.

A method and apparatus for measuring cognitive load according to an embodiment compares a cognitive state of a learning image based on learner's physiological psychological response information and a cognitive state of the learning image based on the learner's recall stimulus response information, thereby learning the learning image. In the process, it is possible to identify a learning time point of a learning image in which a learner's cognitive load is generated, and further design a learning level and a learning guidance method suitable for the learner's cognitive level.

1 is a diagram illustrating a cognitive load measuring apparatus according to an exemplary embodiment.
2 is a diagram illustrating a detailed configuration of a cognitive load measuring apparatus according to an embodiment.
FIG. 3 is a diagram for describing a process of collecting learner's physiological psychological response information and company stimulus response information on a learning image, according to an exemplary embodiment.
FIG. 4 is a diagram for describing a detailed process of collecting brain wave information, pupil size information, and heart rate variation information constituting physiological psychological response information of a learner according to an embodiment.
FIG. 5 is a diagram illustrating a change in cognitive load according to learner's physiological psychological response information and stimulus recall response information for each learning section.
FIG. 6 is a diagram illustrating a change in cognitive load according to brain wave information and stimulus recall response information for each learning section, according to an exemplary embodiment.
FIG. 7 is a diagram illustrating a change in cognitive load according to pupil size information and stimulus recall response information for each learning section, according to an exemplary embodiment.
8 is a view showing a change in accordance with the cognitive load according to the heart rate variation information and stimulus recall response information for each learning section according to an embodiment.
9 is a flowchart illustrating a cognitive load measuring method according to an exemplary embodiment.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a cognitive load measuring apparatus according to an exemplary embodiment.

Referring to FIG. 1, the cognitive load measuring apparatus 101 may determine the recalled cognitive load of the learning content of the learning image according to the recall stimulation of the learner 102 with respect to the learning image. In this case, the cognitive load measuring apparatus 101 may determine the recalled cognitive load by collecting physiological psychological response information displayed to the learner 102 in the process of learning the learning image.

More specifically, the cognitive load measuring apparatus 101 may provide the learner 102 with a learning image for improving the intellectual level. Here, the learning image may effectively convey information that is difficult to deliver in text or pictures, and may mean an effective learning medium capable of improving the concentration and immersion of the learner. For example, the learning image may include independent image information of the learner. In the present invention, the learning image may be configured as a knowledge transfer-centered learning image for a proposition of mathematics.

The learning image may be divided into learning sections according to contents and methods included in the image content. For example, the learning sections of the learning images may be classified into basic concept sections, application sections, and the like. The video contents of the propositional subjects can be classified into a total of 19 learning sections according to the learning contents or the presented method.

The learner 102 learning the learning image may have a load imposed on the cognitive system in the course of performing the learning content and the task of the learning image. In other words, in the process of acquiring new information through the learning image, the learner 102 increases the amount of information for long-term memory of the existing knowledge and the new knowledge, resulting in imbalance of the cognitive system and thus the cognitive load. Can be. This cognitive load may interfere with learning the learning image, and may result in a decrease in learning outcomes.

The cognitive load may be divided into intrinsic cognitive load, external cognitive load, and intrinsic cognitive load based on the learner 102. In detail, the intrinsic cognitive load is generated by the complexity of the task based on the learning image, and the complexity of the task may be determined by the level of interaction of the components or by the degree of prerequisite knowledge of the learner. The external cognitive load may be generated by a presentation form and method of learning material and information provided to the learner 102 through the learning image. Lastly, intrinsic cognitive load is a load required by learners when solving a learning environment and a task, and may represent cognitive capacity or cognitive resources for solving a task.

In addition, the cognitive load is an instantaneous load, a peak load, an accumulated load, an average load, an overall load according to a trend occurring in the learner 102. Can be classified as In detail, the instant load may indicate a cognitive load that appears immediately while a learner learns a training image, and the maximum load may indicate a point in time at which the instant load shows the highest value. The cumulative load may represent the total amount of individual loads that a learner experiences while learning a learning image. The average load may represent an average value of load intensity generated while the learner learns the learning image, and the total load may represent the total amount of cognitive load perceived by the learner in the entire process of the learning image.

In order to measure the cognitive load, the present invention can measure the learner's cognitive load on the learning image based on the physiological response measurement of the learner who actually learns the learning image. In other words, the cognitive load measuring apparatus 101 may collect physiological psychological response information including a physiological state and a psychological state and set a cognitive load from the collected physiological psychological response information in order to measure the learner's cognitive load. .

Specifically, the physiological psychological response information may refer to a physiological state of the learner, that is, cognitive, emotional, and behavioral responses revealed through physiological principles and phenomena. In other words, the physiological psychological response information is for grasping the cognitive state and psychological state of the learner that changes in the process of the learner 102 learning the learning image, and grasps or supplements the cognitive state of the learner with the information itself. It can be used as information for. Here, the physiological psychological response information is biometric information in which the learner who learns the learning image reacts unconsciously, thereby obtaining the unconscious psychological response of the learner. In addition, since the physiological psychological response information can be collected immediately in the learning process, it is possible to measure the change in the psychological response of the learner as a result of time.

The physiological psychological response information is information that can grasp the learner's psychological state based on the learner's physiological state in the process of learning the learning image, and the type of the physiological psychological response information may include EEG information, pupil size information, and heart rate variation information. Can be. In addition, the physiological psychological response information may include information, such as the degree of change for each part of the learner's face, the repeatability of the action taken by the learner. In other words, the physiological psychological response may include a change in the color of the face according to the change in the body temperature of the learner, a movement, the size, etc. of each part of the face. The learner's physiological psychological reaction information may be collected through the degree of opening the mouth, touching the nose or ear, repeating the action, and wiping the sweat. The following describes each description of the type of physiological psychological response information.

* EEG Information

EEG is a biochemical response that occurs when signals are transmitted between brain nerves in the cortical cellular nervous system of a learner, and may represent an important indicator of brain activity. The EEG information may represent information about the frequency change of the bioelectric current generated in the brain. In this case, the frequency used as the EEG information may include a gamma wave (30-50 Hz) and a sephata (4-8 Hz) highly related to the learner's cognitive state and memory storage of the learning image.

Here, the gamma wave includes a wide range of sensory perception, increases when a high level of perceptual response is required, and is a wavelength used for measuring work memory load due to characteristics representing the learner's perceptual behavior. Theta waves are related to working memory affected by external stimuli, and interact with gamma waves according to memory performance.

Thereafter, the present invention may store the EEG data measured by EEG information in the form of a time series signal that changes with time by performing a Fast Fourier Transform. Here, the fast Fourier transform may be a task of converting the EEG data of the analog form continuous in time and amplitude into a discrete digital signal. The present invention can determine whether an increase (change trend) of the learner's cognitive load through the EEG information is performed by performing quantification for each frequency band to adjust individual brain wave differences between learners. In addition, the present invention performs the quantification through the degree of deflection of the power spectrum distribution of the EEG through the state power spectrum analysis and the absolute power spectrum, it can be determined that the cognitive load increases as more high frequency components appear in the power spectrum distribution Can be.

* Pupil size information

The pupil is a response that appears according to various emotions and visual stimuli, and the pupil response, ie, the expansion or contraction of the pupil, is a physiological response that is uncontrollable by the learner unconsciously, and the pupil size information 104 is the pupil size of the learner 102. It may be information for determining the intensity of the emotion of the learner 102 or the degree of cognitive load through the degree of pupil expansion. Here, the pupil is the expansion of the pupil, the pupil response is measured as a behavioral response variable of the learner 102 associated with the eye, the larger the cognitive load, the size of the pupil is expanded, which is the learner 102 to activate a specific memory It can be judged to be suspended when giving a difficult task or when. That is, the expansion of the pupil changes according to the difficulty of the task, and may be used as an index indicating the cognitive state of the learner 102.

* Heart Rate Variation Information

Heart rate variability is information measured using a heart rate according to an electrocardiogram, a biocurrent that occurs when the heart contracts. The heart rate variability information 105 is a heart rate variability, and may be used as a measure of the nature of the emotional state of the learner 102 as a variable for measuring the degree of variability between pulsations in a physiological phenomenon in which time between heart rhythms changes. In this case, when the heart rate variability according to the heart rate variability information 105 is low, it indicates that the learner 102 is in a relaxed state, and when the heart rate variability is high, the learner 102 is mentally stressed. It can be predicted as As a result, the heart rate variation information 105 may be used as an index for predicting the degree of activity of the sympathetic nerve and the cognitive load according to the information processing as the emotional response of the learner 102.

The present invention can be used to grasp the cognitive load of the learner 102, that is, learning psychological phenomena such as attention, information processing, emotion, and arousal of the learner according to the learning context of the learning image based on the above-mentioned physiological psychological response information. have. This can be represented as Table 1 below.

Here, the present invention compares the physiological psychological response information of the learner 102 and the recalled cognitive load with respect to the cognitive load recalled from the learner 102's recall stimulus on the learning image, and through this, the learned cognitive load occurred. It may be possible to determine the start time point of the section and accordingly, further design a suitable learning level and learning instruction method.

Here, the recall stimulus is a method of inducing to recall a thought or impression that has occurred while performing a specific action or task by using a visual or auditory return stimulator associated with it after completion of a specific action or task. The recall stimulator may correspond to a learning image with cues and stimuli provided by the learner 102 as the recall stimulus is performed. In other words, the present invention can use a recall stimulus to recall learners' cognitive processes that took place when the action occurred using audio or video tape recording a specific thaw.

Here, in order to further improve the accuracy of the memory of the learner 102, the present invention uses a learning image including the same learning content as the learning image previously learned by the learner to the recall stimulus of the learner 102 according to the learning image. Information on recall stimulus response can be collected. To this end, the present invention may be divided into the original learning image and the marking learning image to determine the cognitive load recalled according to the recall stimulus of the learner 102 learning the learning image. The original learning image and the marking learning image include the same learning contents, and may be divided into the original learning image and the marking learning image according to whether the learner marks the recall stimulus.

The present invention may collect recall stimulus response information marked on the marking learning image in response to the recall stimulation of the learner 102 learning the marking learning image. Here, the recall stimulus response information is information in which all records recalled for each learning section are marked through a marking learning image including the same recall stimulator as the original learning image, and includes information on the recall cognitive load of the learner 102. can do.

The present invention compares the degree of change in physiological psychological response information of the learner 102 with the degree of change in cognitive load indicated by the recall stimulus response information for the recalled cognitive load of the learner 102 represented by the recall stimulus response information. A learner's recalled cognitive load on the original training image may be measured.

That is, the present invention compares the recall stimulus response information about the cognitive load recalled through the recall stimulation with the physiological psychological response information that can determine the cognitive load of the learner 102 through the biometric state and the psychological state, Based on the information, the cognitive load may be determined based on the learning point at which the cognitive load is displayed and the recall stimulus response information. .

2 is a diagram illustrating a detailed configuration of a cognitive load measuring apparatus according to an embodiment.

Referring to FIG. 2, the recall stimulation measuring device 201 includes a physiological psychological response information collecting unit 202, a marking learning image reproducing unit 203, a recall stimulating response information collecting unit 204, and a cognitive load determining unit 208. It may include.

The physiological psychological response information collecting unit 202 may collect physiological psychological response information for identifying a change in the physiological state and the psychological state of the learner learning the original learning image. Here, the physiological psychological response information may include brain wave information measuring a wave of a learner's brain, pupil size information measuring a pupil change of the learner, and heart rate variation information of the learner. In this case, the physiological psychological response information collecting unit 202 may perform the following measurement method to collect respective information including the physiological psychological response information.

* EEG Information

The physiological psychological response information collecting unit 202 measures the brain waves generated in the process of the learner learning the learning image, the physiological psychological response information collecting unit 202 receives the EEG information including the frequency band of gamma wave and theta wave among the brain waves. Can be collected. Here, the physiological psychological response information collecting unit 202 may perform a preprocessing process to utilize the measured value according to the EEG information by using the value obtained by subtracting the EEG average of the basal response section from the EEG data.

For example, the present invention may measure the EEG generated in the process of learning the learning image using an EEG measuring instrument attachable to the forehead of the learner. The present invention can obtain the EEG information according to the signal of the left and right two channels at 125Hz for each channel (cut-off frequency of the low pass filter is 32.75Hz) at the frontal lobe position (FP1, FP2) through the EEG measuring instrument. . In addition, the EEG information measured through the EEG meter may be recorded through a mobile phone or a dedicated app installed in the mobile phone that can be used as a cognitive load measuring device.

* Pupil size information

The physiological psychological response information collecting unit 202 may collect pupil size information so that the change in the cognitive load of the learner generated through the learning image may be determined through the pupil size as the learner's unconscious response to the learning image. . In order to measure the change value of the pupil size, the physiological psychological response information collector 202 may measure the average value of the left and right pupils of the learner. In addition, the physiological psychological response information collecting unit 202 utilizes the pupil size value according to the pupil size information using a value obtained by subtracting the average of the pupil size for the basal response section from the pupil size data measured in 1/30 seconds of the learner. Pretreatment may be performed. In this case, the present invention instructs the learner's gaze to be fixed to a specific symbol (ex. 'X') displayed at the center of the screen on which the learning image is displayed, and then measures the learner's base response looking at a point at a specific time interval. As a result, the eye's control response can be minimized, and the influence on the pupil due to the difference in contrast and brightness can be minimized.

For example, the present invention may collect pupil size information for each eye of the learner through the eye tracker over the entire learning section of the learning image.

* Heart Rate Variation Information

The physiological psychological response information collecting unit 202 may collect heart rate variation information indicating the strength of the emotion felt by the learner and positive or negative emotions measured by the learner's electrocardiogram signal, heart rate, and electrocardiogram.

In one example, the heart rate (HR) and heart rate variability (HRV) can be extracted from the wrist photoplethysmogram (PPG) signal.

When the learning of the original learning image is completed, the marking learning image reproducing unit 203 may play the marking learning image including the same learning contents as the original learning image on which the learning is completed.

The recall stimulus response information collecting unit 204 may collect the recall stimulus response information marked on the marking learning image in response to the recall stimulus of the learner learning the marking learning image. To this end, the recall stimulus response information collection unit 204 may include a learning content recording unit 205, a learning section division unit 206, and a feature classification unit 207.

The learning content recorder 205 may record the learning content recalled in the process of learning the marking learning image from the learner. Specifically, the learning content recorder 205 may utilize a recall stimulation technique to identify a learner's cognitive load that occurred during the learning process, and the recall stimulation technique may access a learner's memory by using visual or auditory cues. It may be a post-mortem observational method that helps us to recall thoughts and strategies that occurred while performing an action or task. In this case, the learning content recording unit 205 may record the thoughts recalled through the presented learning images by presenting the same learning images to the learners immediately after the kind of the learning images for the thought or power recall of the learning images.

Here, the learning content recorder 205 may mark the information on the moment when the learner turns back the learning image and the cognitive load on the corresponding learning image. In this case, the marking may be performed by classifying markers as to whether the learning image is played by the learner, and the thoughts felt by the learner for the learning section selected as the cognitive load may be recorded in a simple memo form. That is, the present invention may support a function that allows the learner to freely control the image and memo (record) the recalled idea such as moving the timeline, stopping the speed control, and playing the marking learning image.

The learning section separator 206 may classify a generation time of the marker marked by the learner for each learning section of the marking learning image.

The feature classifier 207 may classify the recall stimulus feature for each marker marked on the marking learning image based on the recorded learning content. The marker is a mental effort that means a cognitive load, and may mean a recording according to a cognitive state. Then, the feature classifier 207 is based on the note content of the memo recorded in the section in which the marker is recorded '1' if the marker stimulus feature is rising, '-1' if falling, if the value is null Can be classified as '0'. In other words, the feature classifier 207 may classify the recall stimulus features of each marker for the recorded memo into respective values. The feature classifier 207 may select one of the options for A (tense), B (confidence), and C (mental effort) corresponding to each classified value. Here, the feature classifier 207 may extract and use a value that sets the classification of the marker as C (mental effort), which means a cognitive load of the learner.

The cognitive load determiner 208 may determine the cognitive load of the learner recalled with respect to the original learning image using the learner's physiological psychological response information and the recall stimulus response information. To this end, the cognitive load determiner 208 may include a change degree measurer 209 and a cognitive load measurer 210.

The change degree measuring unit 209 may measure a change degree of the physiological psychological response information that changes according to the learner's cognitive load on the original learning image. In detail, the change degree measuring unit 209 may measure the degree of change in the EEG information among the physiological psychological response information by using the perceptual response of the brain represented by the learner's cognitive load. The change degree measuring unit 209 may measure the degree of change in the pupil size information in the physiological psychological response information by using the expansion according to the change in the size of the pupil represented by the learner's cognitive load. The change degree measuring unit 209 may measure the change in the heart rate variation information among the physiological psychological response information by using the rate of change of the heart rate according to the change in the interval of the heart rate shown by the learner's cognitive load.

The cognitive load measuring unit 210 may measure the learner's recalled cognitive load on the original learning image by comparing the change of the learner's physiological psychological response information with the change of the cognitive load displayed through the recall stimulus response information. have. In detail, the cognitive load measuring unit 210 may compare the cognitive load estimated through the degree of change of the learner's physiological psychological response information and the cognitive load identified through the learner's recall stimulus response information. Here, the cognitive load measuring unit 210 may compare the change of the cognitive load generated in the learner during the learning process by comparing the cognitive load estimated from the physiological psychological response information and the cognitive load confirmed from the recall stimulus response information.

In addition, the cognitive load measuring unit 210 may check the range and the section of the learner's physiological psychological response information that can be explained by the learner's recalled cognitive load in the learning process from the comparison result. The cognitive load measuring unit 210 may distinguish a range and a section in which the learner's recall occurs in the cognitive load estimated through the change in the physiological psychological response information based on the cognitive load identified from the recall stimulus response information.

The cognitive load measuring unit 210 may measure the learner's recalled cognitive load on the original learning image based on the range and the section of the identified physiological psychological response information of the learner. In other words, the cognitive load measuring unit 210 changes the learning interval and the cognitive load of the original learning image in which each peak value appears according to the degree of change in brain wave information, pupil size information, and heart rate variation information including physiological psychological response information. The recalled cognitive load of the learner can be measured by comparing the learning intervals of the marked learning images with peak values according to the degree.

FIG. 3 is a diagram for describing a process of collecting learner's physiological psychological response information and company stimulus response information on a learning image, according to an exemplary embodiment.

The cognitive load measuring apparatus may determine the learner's recalled cognitive load on the learning image using the recall stimulus response information. To this end, the cognitive load measuring apparatus may distinguish the training image into an original training image 301 and a marking training image 302 including the same learning contents. At this time, in order to minimize the external cognitive load due to the learning content, the learning image is provided with a white screen, and the learning content is presented in writing form. In addition, the learning image is provided with the voice of the instructor for the learning content during the progress of the image, the image of the instructor may not appear.

Referring to FIG. 3A, the cognitive load measuring apparatus may provide the learner with the original training image 301. Here, the original learning image 301 is a basic image that allows the learner to provide new information, and the cognitive load measuring apparatus may collect physiological psychological response information of the learner learning the original learning image 301. In this case, the cognitive load measuring apparatus may separately collect and collect physiological psychological response information for each learning section classified according to the learning contents constituting the original learning image 301.

This may be a process of collecting physiological psychological response information for explaining a change in the recalled cognitive load expressed through the recall stimulus response information for each learning section.

Referring to FIG. 3B, the cognitive load measuring apparatus may provide the learner with the marking learning image 302 immediately after learning all the original learning images 301. The cognitive load measuring apparatus may mark information on a moment when a cognitive load occurs in the corresponding learning image while the learner turns the learning image again. In this case, the marking may be performed by classifying markers as to whether the learning image is played by the learner, and the thoughts felt by the learner for the learning section selected as the cognitive load may be recorded in a simple memo form. That is, the present invention freely recalls the learning video by supporting a function that allows the learner to directly control the video and memo (record) the recalled thoughts such as moving the timeline, stopping the speed control, and playing the marking learning video. It can provide a learning environment.

The cognitive load measuring apparatus may collect recall stimulus response information representing a value of a learner's recalled cognitive load through a memo and a marking section in which recalled thoughts are recorded. In other words, the recall stimulus response information is a mental effort representing a cognitive load, and may mean a recording according to a cognitive state.

The recall stimulus response information may be extracted in an Excel form, and the components included in the Excel may include a learner ID, an image number, a marker generation time, a marker division, and a memo note. Specifically, the learner ID is personal identification information for distinguishing each learner learning the learning image, and the image number is a number for distinguishing the image including the marker recorded by the learner according to the original learning image and the marking learning image. Can be. In addition, the marker generation time is expressed in units of one decimal place in the marking learning image controlled by the learner, and the marker division is recorded as a mental effort indicating a cognitive load, and the memo note 303 indicates that the learner recorded the response of the response to the response. A detailed description of the selected marker may be recorded.

In other words, the cognitive load of the learner can be classified into an intrinsic load, an intrinsic load, and an intrinsic load according to the cause of occurrence. Among these, the intrinsic load is generated by the complexity of the learning task, and the complexity of the learning task can be determined by the level of interaction of the components or the degree of prerequisite knowledge of the learner. External loads can occur primarily by the type or manner of presentation of learning materials and information. An inherent load can refer to the mental effort the learner makes in relation to learning within the learner's working memory capacity. Accordingly, the mental effort used in the present invention may refer to the cognitive load due to the intrinsic load deeply related to the allocated cognitive capacity or resources when solving the task.

FIG. 4 is a diagram for describing a detailed process of collecting brain wave information, pupil size information, and heart rate variation information constituting physiological psychological response information of a learner according to an embodiment.

Referring to FIG. 4, the cognitive load measuring device may collect learner's physiological psychological response information according to a learning image. In this case, the physiological psychological response information includes brain wave information, pupil size information, and heart rate variation information. Each information may be collected through the following operation.

* EEG Information (401)

The cognitive load measuring apparatus may obtain the extracted EEG by analyzing the change of the biocurrent frequency generated in the learner's brain. The cognitive load measuring apparatus may apply the acquired EEG to a fast Fourier transform method to collect EEG information. Here, the fast Fourier transform is a method of converting a signal in the time domain into a signal in the frequency domain so that the EEG signals are arranged in a graph according to the magnitude of the frequency.

For example, the cognitive load measuring apparatus processed the extracted brain waves (EEG data 0 every 0.512 seconds using a fast Fourier transform method to distinguish the student's blink, brain waves, and other noise from the processing result. When it is determined, the cognitive load measuring device determines the power spectral density of the alpha wave (8-12 Hz), SMR wave (12-15 Hz), medium beta wave (16-20 Hz) and high beta wave (21-30 Hz) region from the determined signal. The cognitive load measurement device uses the high beta wave value associated with the cognitive load and adds the alpha wave value and the beta wave value at a specific time point to remove the outliers. After the calculation, the mean and standard deviation of the sum of alpha wave and beta wave values for 10 seconds before the point in time were removed.

The EEG data processed through the above-described procedure was converted into an average per second to compare the pupil size information and the heart rate variation information constituting the physiological psychological response information, and the unit of the EEG data is expressed as ㎶2 / Hz. The data may be collected as brain wave information constituting physiological psychological response information. EEG can use the following equation (1).

* Pupil Size Information (402)

The cognitive load measuring device can measure the left and right pupil size of the learner by the response that appears according to various emotions and visual stimuli. In this case, the cognitive load measuring apparatus may collect the pupil size information as a value generated per second by subtracting the average pupil size in the base reaction section according to the change of the pupil size.

As an example, the cognitive load measuring apparatus checks the distance information between the eye tracker of the learner's eyes and removes data in which the distance between the learner and the eye tracker is outside the range of 35 cm to 95 cm. In addition, the cognitive load measuring device separated outliers outside the normal pupil size (1.5 mm to 6 mm) based on the measured pupil size. After that, the average pupil size in the basal reaction section was subtracted and the average value was calculated per second.

The pupil size data processed through the above-described procedure was converted into an average per second for comparison at the same learning time with the EEG data, and the unit of the pupil size data is expressed in mm, and the pupil size data indicates physiological psychological response information. It may be collected into the pupil size information constituting. The pupil size information may use the following equation (2).

* Heart Rate Variation Information

The cognitive load measuring apparatus may measure the heart rate variability as a value of the learner's heart rate cycle. The unit of the learner's heart rate value is bpm (beats per minute), and since the change in the heart rate is calculated every 5 minutes through the attached device, the value can be measured at 1 second intervals by applying the liding window method.

For example, heart rate variability is a measure of the change in heart rhythm with the ratio of sympathetic and parasympathetic nerves in the unit of 1 second and is a relative value derived from interval change, not absolute value. The learner's baseline response was not applied, and the measured values were generalized by estimating the ratio of LF and HF as measured values. Heart rate variability data of the present invention is a generalized value for the ratio of LF and HF, so there is no separate unit. Heart rate variation information may use the following equation (3).

FIG. 5 is a diagram illustrating a change in cognitive load according to learner's physiological psychological response information and stimulus recall response information for each learning section.

Referring to FIG. 5, the apparatus for measuring cognitive load may check a change in the recall of the learner's recalled cognitive load based on the learner's physiological psychological response information displayed in the course of learning the learning image. In other words, as described with reference to FIG. 4, by converting the data unit for each physiological psychological response information into an average of 1 second, the physiological psychological response information and the recalled cognitive load may be formed as respective graphs.

In other words, the cognitive load measuring apparatus compares the physiological psychological response information of the learner with the value of the recalled cognitive load and checks the learner's psychological state with respect to the recalled cognitive load. It may indicate a change trend. For this purpose, the cognitive load measuring device displays the average value of each section representing the continuous values in the case of physiological psychological response in a linear graph to check the change trend, and in the case of recalled cognitive load in the form of discrete values, Star frequency values are shown in a linear graph.

The x-axis of the linear graph is the interval of the learning image, and the y-axis represents the mean value of each section of the physiological psychological response information and the frequency of each of the recalled cognitive loads.

When the learner checks the change of the learning section of the learning image of the cognitive load recalled, the sections in which the values of the recalled cognitive load are high are excluded except for the 1, 10, and 19 sections, which are the beginning and end of each learning image. 15 sections (75), 16 sections (74), 5 sections (65), 7 sections (59). This is a section that describes the dual term proposition in detail, and in the process of acquiring new information, the value of the cognitive load may be high in response to the high complexity of the learning content.

In addition, the section in which the learner's recalled cognitive load is low may appear in 2 sections (0), 11 sections (3), 3 sections (4), and 8 sections (13) in ascending order. This is a section for explaining a learning objective or basic concept according to the learning content, and the value of the cognitive load may be low in response to the low complexity of the basic learning content.

As a result, in the present invention, the recalled cognitive load of the learner may appear to increase or decrease the value of the recalled cognitive load in proportion to the complexity of the learning content and the task constituting the learning image.

FIG. 6 is a diagram illustrating a change in cognitive load according to brain wave information and stimulus recall response information for each learning section, according to an exemplary embodiment.

According to the present invention, the trend of change according to the cognitive load of the EEG information and the stimulus recall response information for each learning section may be represented as a graph. Here, the EEG information indicates that the movement of the neuron in the learner's brain or the movement due to the activity is expressed in the form of a wave, and the active state of the brain by the gamma wave and theta wave used by the learner to learn the learning image. Can be represented.

That is, as the learner intensively activates gamma wave and theta wave among the EEGs in order to remember the learning contents in the process of learning the learning image, as shown in the graph of FIG. 6, the change of the recalled cognitive load and the change of EEG information. Inflection points in some intervals between transitions may appear similarly.

This may be a result of the relationship between the activation of the EEG according to the learning content and the recalled cognitive load of the learner stimulating the brain to improve the understanding of the learning content. As a result, when the EEG is activated, the recalled cognitive load of the learner may increase according to the high complexity of the learning content.

For example, referring to the graph of FIG. 6, the x-axis represents a learning section of a learning image, and the y-axis represents a frequency of cognitive load recalled for each learning section of a sequential learning image and an average value of brain waves for each section. In this case, except for sections 1, 10, and 19, which are the start and end points of the learning image, the sections showing similar inflections between the brain wave response of the learner and the cognitive load recalled may be 9, 13, 15, and 17 sections. . In detail, the learning intervals in which the learner's recalled cognitive load changed significantly among the learning intervals showing similar inflection were nine sections (existent and negative), 13 sections and 15 sections (example of positive term proposition). On the other hand, the learning section in which the learner's recalled cognitive load changed low among the learning sections showing similar inflections is a section for explaining the example of the positive term proposition negation.

Thus, in the 9th, 13th, and 15th sections, where the EEG response and recalled cognitive loads increased in common, learners' notes recorded “an attempt to understand why negatives are occurring, and revived memories that previously proved propositions through negatives.” For example, descriptions of marked sections may be recorded, such as "a mental effort was needed to understand the proposition through examples." Through this, in the present invention, when the learner learns the concept included in the learning video, the student connects the existing memory and the learned concept or applies the learned concept to the actual case (example), and the cognitive load is generated accordingly. EEG response can be activated.

Accordingly, according to the present invention, as the brain wave response according to the learner's recalled cognitive load is activated in response to the brain's active state according to the brain wave information of the learner, the work memory is activated while the learner performs the information processing, and thus the target And it can be seen that the learner's cognitive load occurs in the process of explaining the concept.

7 is a diagram illustrating a change in cognitive load according to pupil size information and stimulus recall response information for each learning section, according to an exemplary embodiment.

According to the present invention, a change trend according to the cognitive load of pupil size information and physiological psychological response information for each learning section may be represented as a graph. Here, the pupil size information may be a result of measuring the left and right pupil size of the learner in response to various emotions and visual stimuli.

That is, the learner changes the pupil's recalled cognitive load and pupil size information as shown in the graph of FIG. 7 as the pupil's size is expanded according to an unconscious response such as attention and concentration to the learning contents in the process of learning the learning image. The inflection point in some sections of the liver of the trend of change may appear similarly.

This is a feature that changes the pupil size according to the difficulty of the learning content. The larger the cognitive load, the larger the pupil size, and the larger pupil size means that the learner activates a specific memory in the learning image or the complexity of the task. It may be a learner's unconscious cognitive response at high. Therefore, according to the present invention, when the pupil size of the learner is expanded, the corresponding cognitive load increases.

For example, referring to the graph of FIG. 7, the x-axis represents a learning section of the training image, and the y-axis is a mean value of the frequency of cognitive load recalled for each learning section of the learning image and the pupil size for each section. At this time, the pupil size change is similar to the inflection of the learner's pupil size and the cognitive load recalled except for the 1, 10, and 19 sections of the start and end of the learning, 5, 7, 11, 12, 13, It can be seen that the learner's recalled cognitive load also showed a similar inflection when the pupil size showed a sharp change in the high or low direction in sections 14, 15, and 16.

Here, the section in which the learner's recalled cognitive load sharply increased is divided into five sections (general propositions and the concept of existence propositions), seven sections (negative propositions), and 12 and 13 sections (concepts and examples of positive and negative propositions) (∀, ∃). ), And 15 and 16 sections (both examples of positive and negative names) and negative.

In other words, the present invention means that the learner's recalled cognitive load is high and the pupil size is low in the presenting new concept through the learning image. Also, when learning 'negativeness of Yanghang proposition' which is deeper than general concept 'yangyang proposition', the recalled cognitive load of learner showed high or pupil size change was low. On the other hand, among the sections where the recalled cognitive load and pupil size change showed similar inflections, the section where the recalled cognitive load rapidly changed in 11 sections (learning goals) and 14 sections (examples of positive and negative propositions (∃, ∀) )to be. This suggests that the learner's recalled cognitive load is low and the pupil size change is high when the learning goal is presented or similar cases were presented.

Therefore, the learner recalled that the cognitive load occurred in the sections 5, 7, 12, 13, 15, and 16, in which the recalled cognitive load rapidly changed among the sections where the recalled cognitive load and the pupil size change were similar. Here are some additional notes.

First, in sections 5, 7, 12, and 16, which dealt with the concept of each proposition, learners learned something new, such as "new content emerged and mental effort worked out", "new letters emerged, and they tried to listen in more detail." As the concept is presented, cognitive load may occur according to the learning content. In addition, “I did not remember the concept of injustice, so I tried mentally,” and “I tried to connect with what I learned when I was young”. I can figure it out.

As a result, in the present invention, when the learner's recalled cognitive load is generated in response to the pupil's size being expanded, the learner's cognitive load is increased in the process of applying the pre-learned concept to the case and understanding the concept. It can be seen that it occurs.

8 is a view showing a change in accordance with the cognitive load according to the heart rate variation information and stimulus recall response information for each learning section according to an embodiment.

According to the present invention, a change trend according to the cognitive load according to the heart rate variation information and the stimulus recall response information for each learning interval may be represented as a graph. Here, the heart rate variability information may be heart rate variability measured using an ECG signal, a heart rate, and an electrocardiogram with respect to the intensity of the emotion of the learner learning the learning image.

This is because the change in the learner's recalled cognitive load as shown in the graph of FIG. 8 as the heartbeat interval due to the psychological state such as the learner is nervous or embarrassed as the pulse or heart rate increases as the learner learns the learning image. And inflection points in some sections between the changes in the heart rate and the heart rate variability may be similar.

For example, referring to the graph of FIG. 8, the x-axis is a learning interval of a learning image, and the y-axis is a mean value of frequency of cognitive load recalled for each learning interval and heart rate variability for each learning interval. At this time, the comparison of the change in heart rate and recalled cognitive load for each learning interval except for sections 1, 10, and 19, which is the beginning and end of the learning, showed that the learning interval showed similar inflection between the learner's heart rate and recalled cognitive load. , 9, 16, and 17 can be confirmed. In all learning periods, the learner's recalled cognitive load changed significantly. In other words, learners' cognitive load increased and heart rate variability also increased in 7, 9, 12, and 16 sections dealing with the concept of learning content and 17 sections dealing with the application of examples after concept learning.

As a result, the memo recorded by the learner in the section dealing with the concept of the learner's content was a cognitive load and an increase in heart rate in order to understand the new term, such as "necessary mental effort to understand the meaning of the term proposition". It can be seen. In addition, “I understood the generic propositions, but it took a mental effort to accurately distinguish the differences from the existing propositions.” “A mental effort was required because I had to learn from the denial of the generic propositions I learned earlier.” A description of the marked section can be recorded. Through this, the present invention can recognize that the cognitive load occurred in the process of connecting the learner recalls the previously learned memory and the newly learned contents.

However, when the change trend of each video learning section is observed, the change trend curves of the two variables show different patterns. Recalled cognitive loads have a lot of inflection points and a wide range of changes.However, the heart rate change of the learners is recorded after the lowest point is recorded in sections 1 and 10, which are common to both the original and marking learning images. The value gradually increased.

9 is a flowchart illustrating a cognitive load measuring method according to an exemplary embodiment.

In operation 901, the cognitive load measuring apparatus may collect physiological psychological response information for identifying a change in the physiological state and the psychological state of the learner learning the original learning image.

In operation 902, when the learning of the original learning image is completed, the cognitive load measuring apparatus may play the marking learning image including the same learning contents as the original learning image on which the learning is completed.

In operation 903, the cognitive load measuring apparatus may collect recall stimulus response information marked on the marking learning image in response to the recall stimulation of the learner learning the marking learning image. In detail, the cognitive load measuring apparatus may record the learning content recalled in the process of learning the marking learning image from the learner. In addition, the cognitive load measuring apparatus classifies the learning intervals of the marking learning image by using the generation time of the markers marked by the learner, and based on the recorded learning content, recall stimulus characteristics for each marker marked on the marking learning image. Can be classified.

In operation 904, the apparatus for measuring cognitive load may determine the learner's cognitive load recalled with respect to the original learning image using the learner's physiological psychological response information and the recall stimulus response information. In other words, the cognitive load measuring apparatus may measure the degree of change in physiological psychological response information that changes according to the learner's cognitive load on the original learning image. Thereafter, the cognitive load measuring apparatus may measure the learner's recalled cognitive load with respect to the original learning image by comparing the change of the learner's physiological psychological response information with the change of the cognitive load indicated through the recall stimulus response information.

Implementations of the various techniques described herein may be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or in combinations of them. Implementations may be implemented for processing by, or to control the operation of, a data processing device, eg, a programmable processor, a computer, or multiple computers, a computer program product, ie an information carrier, for example a machine readable storage. It may be embodied as a computer program recorded on a device (computer readable medium). Computer programs, such as the computer program (s) described above, may be written in any form of programming language, including compiled or interpreted languages, and may be written as standalone programs or in modules, components, subroutines, or computing environments. It can be deployed in any form, including as other units suitable for use. The computer program can be deployed to be processed on one computer or multiple computers at one site or distributed across multiple sites and interconnected by a communication network.

Processors suitable for the processing of a computer program include, by way of example, both general purpose and special purpose microprocessors, and any one or more processors of any kind of digital computer. In general, a processor will receive instructions and data from a read only memory or a random access memory or both. Elements of a computer may include at least one processor that executes instructions and one or more memory devices that store instructions and data. In general, a computer may include one or more mass storage devices that store data, such as magnetic, magneto-optical disks, or optical disks, or receive data from, transmit data to, or both. It may be combined to be. Information carriers suitable for embodying computer program instructions and data include, for example, semiconductor memory devices, for example, magnetic media such as hard disks, floppy disks, and magnetic tape, compact disk read only memory. ), Optical media such as DVD (Digital Video Disk), magneto-optical media such as floppy disk, ROM (Read Only Memory), RAM , Random Access Memory, Flash Memory, Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), and the like. The processor and memory may be supplemented by or included by special purpose logic circuitry.

In addition, the computer readable medium may be any available medium that can be accessed by a computer, and may include both computer storage media and transmission media.

Although the specification includes numerous specific implementation details, these should not be construed as limited to any invention or the scope of the claims, but rather as a description of features that may be specific to a particular embodiment of a particular invention. It must be understood. Certain features that are described in this specification in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable subcombination. Furthermore, while the features may operate in a particular combination and may be initially depicted as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, the claimed combination being a subcombination Or a combination of subcombinations.

Likewise, although the operations are depicted in the drawings in a specific order, it should not be understood that such operations must be performed in the specific order or sequential order shown in order to obtain desirable results or that all illustrated operations must be performed. In certain cases, multitasking and parallel processing may be advantageous. Moreover, the separation of the various device components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and devices will generally be integrated together into a single software product or packaged into multiple software products. It should be understood that it can.

On the other hand, the embodiments of the present invention disclosed in the specification and drawings are merely presented specific examples for clarity and are not intended to limit the scope of the present invention. It is apparent to those skilled in the art that other modifications based on the technical idea of the present invention can be carried out in addition to the embodiments disclosed herein.

101: cognitive load measuring device
102: learner
103: EEG information
104: pupil size information
105: heart rate variation information

Claims (12)

In the cognitive load measuring method performed by the cognitive load measuring apparatus,
The cognitive load measurement method,
Collecting physiological psychological response information for grasping a change in a physiological state and a psychological state of a learner learning the original learning image;
When the learning of the original learning image is completed, reproducing a marking learning image including the same learning contents as the learning original original learning image;
Collecting recall recall stimulus response information marked on the marking learning image in response to a recall stimulus of a learner learning the marking learning image; And
Determining the cognitive load of the learner recalled with respect to the original learning image by using the learner's physiological psychological response information and the recall stimulus response information
Including,
Collecting the recall stimulus response information,
Recording the learning contents recalled in the process of learning a marking learning image from the learner;
Classifying a learning section of the marking learning image by using a generation time of the marker marked by the learner; And
Classifying recall stimulus features for each marker marked on the marking learning image based on the recorded learning contents
Cognitive load measurement method comprising a. The method of claim 1,
Collecting the physiological psychological response information,
A cognitive load measurement method of collecting physiological psychological response information including brain wave information measuring the wave of the learner brain, pupil size information measuring the pupil change of the learner and heart rate variation information of the learner. delete The method of claim 1,
Determining the cognitive load,
Measuring a change in physiological psychological response information with respect to the original learning image;
Comparing the cognitive load estimated through the change of the learner's physiological psychological response information with the cognitive load identified through the learner's recall stimulus response information;
Identifying the range and section of the learner's physiological psychological response information that can be explained by the learner's recalled cognitive load in the learning process from the comparison result; And
Measuring the cognitive load of the learner recalled on the original learning image based on the range and the section of the identified physiological psychological response information of the learner
Cognitive load measurement method comprising a. The method of claim 4, wherein
Measuring the change in the physiological psychological response information,
A cognitive load measuring method for measuring a change in brain wave information of the physiological psychological response information using the perceptual response of the brain represented by the learner's cognitive load. The method of claim 4, wherein
Measuring the change in the physiological psychological response information,
A cognitive load measuring method for measuring a change in the pupil size information of the physiological psychological response information by using whether the expansion according to the change in the size of the pupil represented as the cognitive load of the learner. The method of claim 4, wherein
Measuring the change in the physiological psychological response information,
A cognitive load measuring method for measuring a change in the heart rate variation information of the physiological psychological response information using the heart rate change rate according to the interval change of the heart rate cycle represented by the learner's cognitive load. The method of claim 4, wherein
Comparing the cognitive load,
The learning interval of the original learning image showing the peak value according to the change of the EEG information, the pupil size information, and the heart rate variation information including the physiological psychological response information and the marking learning image showing the peak value according to the change of the cognitive load. A cognitive load measurement method that compares learning intervals. A physiological psychological response information collection unit for collecting physiological psychological response information for grasping a change in a physiological state and a psychological state of a learner learning an original learning image;
When the learning of the original learning image is completed, the marking learning image playback unit for reproducing the marking learning image including the same learning content as the original learning image is completed learning;
A recall stimulus response information collecting unit configured to collect recall stimulus response information marked on the marking learning image in response to a recall stimulus of a learner learning the marking learning image; And
Cognitive load determination unit to determine the cognitive load of the learner recalled with respect to the original learning image by using the learner's physiological psychological response information and the recall stimulus response information
Including,
The recall stimulus response information collecting unit,
A learning contents recording unit for recording the learning contents recalled in the process of learning a marking learning image from the learner;
A learning section division unit for classifying a learning section of the marking learning image by using a generation time of the marker marked by the learner; And
A recall stimulus feature classifier for classifying recall stimulus features for each marker marked on the marked learning image based on the recorded learning content
Cognitive load measurement device comprising a. delete The method of claim 9,
The cognitive load determination unit,
A change information measuring unit measuring a change in physiological psychological response information on the original learning image; And
The cognitive load that can be estimated through the change of the learner's physiological psychological response information and the cognitive load identified through the learner's recall stimulus response information are compared, and the result can be explained as the learner's recalled cognitive load in the learning process. A cognitive load measuring unit that checks the range and section of the learner's physiological psychological response information and measures the learner's recalled cognitive load on the original learning image based on the checked range and section of the learner's physiological psychological response information.
Cognitive load measurement device comprising a. The method of claim 11,
The cognitive load measuring unit,
The learning interval of the original learning image showing the peak value according to the change of the EEG information, the pupil size information, and the heart rate variation information including the physiological psychological response information and the marking learning image showing the peak value according to the change of the cognitive load. A cognitive load measuring device for measuring the learner's recalled cognitive load by comparing a learning interval.

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