JP7138998B1 - VIDEO SESSION EVALUATION TERMINAL, VIDEO SESSION EVALUATION SYSTEM AND VIDEO SESSION EVALUATION PROGRAM - Google Patents

Abstract

A video session itself is evaluated by evaluating moving images acquired in the video session. A line-of-sight evaluation system analyzes user reactions based on moving images obtained from online sessions conducted by a plurality of users. The system includes a display unit that displays a plurality of images to the user, a camera unit that acquires a moving image obtained by photographing the user during an online session for each of the plurality of users, and based on the acquired moving image, an analysis unit that analyzes changes in biological reactions of the user; a line-of-sight acquisition unit that acquires eye movement of the subject based on the acquired moving image; a point-of-regard estimating unit for estimating the point of gaze of the user on the image based on the line of sight of the user; . [Selection drawing] Fig. 1

Description

The present disclosure relates to a video session evaluation terminal, a video session evaluation system and a video session evaluation program.

Conventionally, there has been known a technique for analyzing the emotions others receive in response to a speaker's utterances (see, for example, Patent Literature 1). There is also known a technique for analyzing changes in facial expressions of a subject in chronological order over a long period of time and estimating the emotions held during that period (see, for example, Patent Literature 2). Furthermore, there are known techniques for identifying factors that have the greatest influence on changes in emotions (see Patent Documents 3 to 5, for example). Furthermore, there is also known a technology that compares the subject's usual facial expression with the current facial expression and issues an alert when the facial expression is dark (see, for example, Patent Document 6). There is also known a technique for determining the degree of emotion of a subject by comparing the subject's normal (expressionless) facial expression with the current facial expression (for example, Patent Documents 7 to 9). reference). Furthermore, there is also known a technique for analyzing the feeling of an organization and the atmosphere within a group that an individual feels (see Patent Documents 10 and 11, for example).

JP 2019-58625 A JP 2016-149063 A JP 2020-86559 A JP-A-2000-76421 JP 2017-201499 A JP 2018-112831 A JP 2011-154665 A JP-A-2012-8949 Japanese Unexamined Patent Application Publication No. 2013-300 JP 2011-186521 A WO15/174426

All the above-mentioned technologies are only secondary functions in situations where communication in the real space is the main activity. In other words, due to the recent DX (Digital Transformation) of business and the worldwide epidemic of infectious diseases, it is not a situation where communication such as business and classes is mainly conducted online.

SUMMARY OF THE INVENTION An object of the present invention is to objectively evaluate exchanged communication in order to conduct more efficient communication in a situation where online communication is the main activity.

According to the invention,
a camera unit that acquires a moving image obtained by photographing a target person;
a line-of-sight acquisition unit that acquires a movement of the subject's line of sight based on the acquired moving image;
a display unit that continuously displays a plurality of images to the subject;
a position acquisition unit that acquires a positional relationship between the camera unit and the display unit;
an output unit that associates and outputs the eye movement for each of the plurality of displayed images;
is obtained.

According to the present disclosure, an objective assessment can be made, particularly regarding content, by analyzing the moving images of a video session.

In particular, according to the present invention, exchanged communication can be objectively evaluated in order to conduct more efficient communication in a situation where online communication is the main activity.

It is a figure which shows the whole system diagram by embodiment of this invention. It is a figure which shows the structural example of the terminal by embodiment of this invention. 1 is an example of a functional block diagram of an evaluation terminal according to an embodiment of the present invention; FIG. FIG. 3 is a diagram showing functional configuration example 1 of the evaluation terminal according to the embodiment of the present invention; FIG. 8 is a diagram showing functional configuration example 2 of the evaluation terminal according to the embodiment of the present invention; FIG. 10 is a diagram showing a functional configuration example 3 of the evaluation terminal according to the embodiment of the present invention; 7 is a screen display example according to the functional configuration example 3 of FIG. 6. FIG. FIG. 7 is another screen display example according to the functional configuration example 3 of FIG. 6. FIG. FIG. 12 is a diagram showing another configuration of functional configuration example 3 of the evaluation terminal according to the embodiment of the present invention; FIG. 12 is a diagram showing another configuration of functional configuration example 3 of the evaluation terminal according to the embodiment of the present invention; Fig. 2 shows a heat map of the system according to the first embodiment of the invention; It is a figure which shows the image of the calibration of the system by the 1st Embodiment of this invention.

The contents of the embodiments of the present disclosure are listed and described. The present disclosure has the following configurations.
[Item 1]
In an environment where an online session is held by a plurality of users, the reaction of the user is analyzed based on a moving image obtained by photographing the user regardless of whether or not the user is displayed on a screen during the online session. A moving image analysis system,
a display unit that displays a plurality of images to the user;
a camera unit that obtains a moving image obtained by photographing the user during the online session for each of the plurality of users;
an analysis unit that analyzes changes in biological reactions of the user based on the acquired moving image;
a line-of-sight acquisition unit that acquires a movement of the subject's line of sight based on the acquired moving image;
a gaze point estimation unit that obtains the positional relationship between the camera unit and the display unit and estimates the user's gaze point on the image based on the user's line of sight;
an output unit that associates and outputs the gaze point and the analyzed change in the biological reaction for each of the plurality of displayed images;
Video image analysis system.
A line-of-sight evaluation system.
[Item 2]
The line-of-sight evaluation system according to claim 1,
The output unit classifies the change in the biological reaction generated based on the point of gaze and the change in the biological reaction into predetermined types, and outputs a heat map using colors associated with each classification in a superimposed manner. ,
Gaze evaluation system [Item 3]
The line-of-sight evaluation system according to claim 1,
The output unit superimposes and outputs a heat map indicating a gaze time generated based on the gaze point.
Gaze evaluation system [Item 4]
The line-of-sight evaluation system according to claim 1,
The output unit further associates and outputs the gaze point of another user who displayed the same image.
Gaze evaluation system [Item 5]
The line-of-sight evaluation system according to claim 4,
a peculiarity determination unit that determines whether or not the change in the biological reaction at the point of gaze associated with the user is more specific than the change in the biological reaction at the point of gaze associated with the other user; prepare
line of sight evaluation system.
[Item 6]
The line-of-sight evaluation system according to claim 1,
The output unit associates and outputs a leveled heat map obtained by leveling the eye movements of the plurality of users for each of the images.
line of sight evaluation system.

Preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In the present specification and drawings, constituent elements having substantially the same functional configuration are denoted by the same reference numerals, thereby omitting redundant description.

<Basic functions>
In the video session evaluation system of the present embodiment, in an environment where a video session (hereinafter referred to as an online session including one-way and two-way sessions) is held by a plurality of people, the person to be analyzed among the plurality of people is different from the others. It is a system that analyzes and evaluates specific emotions (feelings that occur in response to one's own or others' words and actions. Pleasant/unpleasant, or their degree).

Online sessions are, for example, online meetings, online classes, online chats, etc. Terminals installed in multiple locations are connected to a server via a communication network such as the Internet, and moving images are transmitted between multiple terminals through the server. It's made to be interactable.

Moving images handled in online sessions include facial images and voices of users using terminals. Moving images also include images such as materials that are shared and viewed by a plurality of users. It is possible to switch between the face image and the document image on the screen of each terminal to display only one of them, or to divide the display area and display the face image and the document image at the same time. In addition, it is possible to display the image of one user out of a plurality of users on the full screen, or divide the images of some or all of the users into small screens and display them.

It is possible to designate one or a plurality of users among a plurality of users participating in an online session using terminals as analysis subjects. For example, an online session leader, moderator, or manager (hereinafter collectively referred to as the organizer) designates any user as an analysis subject. Hosts of online sessions are, for example, instructors of online classes, chairpersons and facilitators of online meetings, coaches of sessions for coaching purposes, and the like. An online session host is typically one of the users participating in the online session, but may be another person who does not participate in the online session. It should be noted that all participants may be subject to analysis without specifying the person to be analyzed.

In addition, it is also possible for an online session leader, moderator, or administrator (hereinafter collectively referred to as the organizer) to designate any user as an analysis subject. Hosts of online sessions are, for example, instructors of online classes, chairpersons and facilitators of online meetings, coaches of sessions for coaching purposes, and the like. An online session host is typically one of the users participating in the online session, but may be another person who does not participate in the online session.

The video session evaluation system according to this embodiment displays at least moving images obtained from a video session established between a plurality of terminals. The displayed moving image is acquired by the terminal, and at least a face image included in the moving image is identified for each predetermined frame unit. An evaluation value for the identified face image is then calculated. The evaluation value is shared as necessary.

In particular, in this embodiment, the acquired moving image is stored in the terminal, analyzed and evaluated on the terminal, and the result is provided to the user of the terminal. Therefore, for example, even a video session containing personal information or a video session containing confidential information can be analyzed and evaluated without providing the moving image itself to an external evaluation agency or the like. In addition, by providing only the evaluation result (evaluation value) to the external terminal as necessary, the result can be visualized and cross-analysis can be performed.

As shown in FIG. 1, the video session evaluation system according to the present embodiment includes user terminals 10 and 20 each having at least an input unit such as a camera unit and a microphone unit, a display unit such as a display, and an output unit such as a speaker. , a video session service terminal 30 for providing an interactive video session to the user terminals 10, 20, and an evaluation terminal 40 for performing part of the evaluation of the video session.

<Hardware configuration example>
FIG. 2 is a diagram showing a hardware configuration example of a computer that implements each of the terminals 10 to 40 according to this embodiment. The computer includes at least a control unit 110, a memory 120, a storage 130, a communication unit 140, an input/output unit 150, and the like. These are electrically connected to each other through bus 160 .

The control unit 110 is an arithmetic unit that controls the overall operation of each terminal, controls transmission and reception of data between elements, executes applications, performs information processing necessary for authentication processing, and the like. For example, the control unit 110 is a processor such as a CPU, and executes each information processing by executing a program or the like stored in the storage 130 and developed in the memory 120 .

The memory 120 includes a main memory made up of a volatile memory device such as a DRAM, and an auxiliary memory made up of a non-volatile memory device such as a flash memory or an HDD. The memory 120 is used as a work area or the like for the control unit 110, and stores a BIOS that is executed when each terminal is started, various setting information, and the like.

The storage 130 stores various programs such as application programs. A database storing data used for each process may be constructed in the storage 130 . Especially in the present embodiment, moving images in the online session are not recorded in the storage 130 of the video session service terminal 30, but are stored in the storage 130 of the user terminal 10. FIG. In addition, the evaluation terminal 40 stores an application and other programs necessary for evaluating the moving image acquired on the user terminal 10, and appropriately provides them so that the user terminal 10 can use them. The storage 13 managed by the evaluation terminal 40 may share, for example, only the results of analysis and evaluation by the user terminal 10 .

Communication unit 140 connects the terminal to the network. The communication unit 140 is, for example, wired LAN, wireless LAN, Wi-Fi (registered trademark), infrared communication, Bluetooth (registered trademark), short-range or non-contact communication, etc., and communicates directly with an external device or through a network access point. Communicate via

The input/output unit 150 is, for example, information input devices such as a keyboard, mouse, and touch panel, and output devices such as a display.

A bus 160 is commonly connected to the above elements and transmits, for example, address signals, data signals and various control signals.

In particular, the evaluation terminal according to this embodiment acquires a moving image from a video session service terminal, identifies at least a face image included in the moving image for each predetermined frame unit, and calculates an evaluation value for the face image. (details will be described later).
<How to get videos>
As shown in FIG. 3, the video session service provided by the video session service terminal (hereinafter sometimes simply referred to as "this service") provides user terminals 10 and 20 with two-way images and voice. Communication is possible. In this service, a moving image captured by the camera of the other user's terminal is displayed on the display of the user's terminal, and audio captured by the microphone of the other's user's terminal can be output from the speaker.

In addition, this service allows both or either of the user terminals to record moving images and sounds (collectively referred to as "moving images, etc.") in the storage unit of at least one of the user terminals. configured as possible. The recorded moving image information Vs (hereinafter referred to as “recorded information”) is cached in the user terminal that started recording and is locally recorded only in one of the user terminals. If necessary, the user can view the recorded information by himself or share it with others within the scope of using this service.

The user terminal 10 acquires the recorded information and performs analysis and evaluation as described later.

The user terminal 10 evaluates the moving image acquired as described above by the following analysis.

<Functional configuration example 1>
FIG. 4 is a block diagram showing a configuration example according to this embodiment. As shown in FIG. 4, the video session evaluation system of this embodiment is implemented as a functional configuration of the user terminal 10. FIG. That is, the user terminal 10 has, as its functions, a moving image acquisition unit 11, a biological reaction analysis unit 12, a peculiar determination unit 13, a related event identification unit 14, a clustering unit 15, and an analysis result notification unit 16.

Each of the functional blocks 11 to 16 can be configured by any of hardware, a DSP (Digital Signal Processor), and software provided in the user terminal 10, for example. For example, when configured by software, each functional block 11 to 16 is actually configured with a computer CPU, RAM, ROM, etc., and a program stored in a recording medium such as RAM, ROM, hard disk, or semiconductor memory. is realized by the operation of

The moving image acquisition unit 11 acquires from each terminal a moving image obtained by photographing a plurality of people (a plurality of users) with a camera provided in each terminal during an online session. It does not matter whether the moving image acquired from each terminal is set to be displayed on the screen of each terminal. That is, the moving image acquisition unit 11 acquires moving images from each terminal, including moving images being displayed and moving images not being displayed on each terminal.

The biological reaction analysis unit 12 analyzes changes in the biological reactions of each of the plurality of people based on the moving images (whether or not they are being displayed on the screen) acquired by the moving image acquisition unit 11 . In the present embodiment, the biological reaction analysis unit 12 separates the moving image acquired by the moving image acquisition unit 11 into a set of images (collection of frame images) and voice, and analyzes changes in the biological reaction from each.

For example, the biological reaction analysis unit 12 analyzes the user's facial image using a frame image separated from the moving image acquired by the moving image acquisition unit 11 to obtain at least one of facial expression, gaze, pulse, and facial movement. Analyze changes in biological reactions related to Further, the biological reaction analysis unit 12 analyzes the voice separated from the moving image acquired by the moving image acquisition unit 11 to analyze changes in the biological reaction related to at least one of the user's utterance content and voice quality.

When people's emotions change, it appears as changes in biological reactions such as facial expressions, eyes, pulse, facial movements, content of remarks, and voice quality. In this embodiment, changes in the user's emotions are analyzed through analysis of changes in the user's biological reactions. The emotion analyzed in this embodiment is, for example, the degree of comfort/discomfort. In the present embodiment, the biological reaction analysis unit 12 calculates a biological reaction index value reflecting the change in biological reaction by quantifying the change in biological reaction according to a predetermined standard.

Analysis of changes in facial expressions is performed, for example, as follows. That is, for each frame image, a facial region is identified from the frame image, and the identified facial expressions are classified into a plurality of types according to an image analysis model machine-learned in advance. Then, based on the classification results, it analyzes whether positive facial expression changes occur between consecutive frame images, whether negative facial expression changes occur, and to what extent the facial expression changes occur, A facial expression change index value corresponding to the analysis result is output.

The analysis of changes in line of sight is performed, for example, as follows. That is, for each frame image, the eye region is specified in the frame image, and the orientation of both eyes is analyzed to analyze where the user is looking. For example, it analyzes whether the user is looking at the face of the speaker being displayed, whether the user is looking at the shared material being displayed, or whether the user is looking outside the screen. Also, it may be analyzed whether the eye movement is large or small, or whether the movement is frequent or infrequent. A change in line of sight is also related to the user's degree of concentration. The biological reaction analysis unit 12 outputs a line-of-sight change index value according to the analysis result of the line-of-sight change.

Analysis of changes in pulse rate is performed, for example, as follows. That is, for each frame image, the face area is specified in the frame image. Then, using a trained image analysis model that captures numerical values of face color information (G of RGB), changes in the G color of the face surface are analyzed. By arranging the results along the time axis, a waveform representing changes in color information is formed, and the pulse is identified from this waveform. When a person is tense, the pulse speeds up, and when the person is calm, the pulse slows down. The biological reaction analysis unit 12 outputs a pulse change index value according to the analysis result of the pulse change.

Analysis of changes in facial movement is performed, for example, as follows. That is, for each frame image, the face area is specified in the frame image, and the direction of the face is analyzed to analyze where the user is looking. For example, it analyzes whether the user is looking at the face of the speaker being displayed, whether the user is looking at the shared material being displayed, or whether the user is looking outside the screen. Further, it may be analyzed whether the movement of the face is large or small, or whether the movement is frequent or infrequent. The movement of the face and the movement of the line of sight may be analyzed together. For example, it may be analyzed whether the face of the speaker being displayed is viewed straight, whether the face is viewed with upward or downward gaze, or whether the face is viewed obliquely. The biological reaction analysis unit 12 outputs a face orientation change index value according to the analysis result of the face orientation change.

Analysis of the content of the statement is performed, for example, as follows. That is, the biological reaction analysis unit 12 converts the voice into a character string by performing known voice recognition processing on the voice for a specified time (for example, about 30 to 150 seconds), and morphologically analyzes the character string. By doing so, words such as particles and articles that are unnecessary for expressing conversation are removed. Then, vectorize the remaining words, analyze whether a positive emotional change has occurred, whether a negative emotional change has occurred, and to what extent the emotional change has occurred. Outputs the utterance content index value.

Analysis of voice quality is performed, for example, as follows. That is, the biological reaction analysis unit 12 identifies the acoustic features of the voice by performing known voice analysis processing on the voice for a specified time (for example, about 30 to 150 seconds). Then, based on the acoustic features, it analyzes whether a positive change in voice quality has occurred, whether a negative change in voice quality has occurred, and to what extent the change in voice quality has occurred, and according to the analysis results, output the voice quality change index value.

The biological reaction analysis unit 12 uses at least one of the facial expression change index value, eye line change index value, pulse change index value, face direction change index value, statement content index value, and voice quality change index value calculated as described above. to calculate the biological reaction index value. For example, the biological reaction index value is calculated by weighting the facial expression change index value, eye line change index value, pulse change index value, face direction change index value, statement content index value, and voice quality change index value.

The peculiarity determination unit 13 determines whether or not the change in the analyzed biological reaction of the person to be analyzed is specific compared to the change in the analyzed biological reaction of the person other than the person to be analyzed. In the present embodiment, the peculiarity determination unit 13 compares changes in the biological reaction of the person to be analyzed with those of others based on the biological reaction index values calculated for each of the plurality of users by the biological reaction analysis unit 12. is specific or not.

For example, the peculiar determination unit 13 calculates the variance of the biological reaction index values calculated for each of the plurality of persons by the biological reaction analysis unit 12, and compares the biological reaction index values calculated for the analysis subject with the variance, It is determined whether or not the change in the analyzed biological reaction of the person to be analyzed is specific compared to others.

The following three patterns are conceivable as a case where the change in the biological reaction analyzed for the person to be analyzed is more specific than that for the other person. The first is a case where a relatively large change in biological reaction occurs in the subject of analysis, although no particularly large change in biological reaction has occurred in the other person. The second is a case where a particularly large change in biological reaction has not occurred in the subject of analysis, but a relatively large change in biological reaction has occurred in the other person. The third is a case where a relatively large change in biological reaction occurs in both the subject of analysis and the other person, but the content of the change differs between the subject of analysis and the other person.

The related event identification unit 14 identifies an event occurring in relation to at least one of the person to be analyzed, the other person, and the environment when the change in the biological reaction determined to be peculiar by the peculiarity determination unit 13 occurs. . For example, the related event identification unit 14 identifies from the moving image the speech and behavior of the person to be analyzed when a specific change in biological reaction occurs in the person to be analyzed. In addition, the related event identifying unit 14 identifies, from the moving image, the speech and behavior of the other person when a specific change in the biological reaction of the person to be analyzed occurs. In addition, the related event identification unit 14 identifies from the moving image the environment in which a specific change in the biological reaction of the person to be analyzed occurs. The environment is, for example, the shared material being displayed on the screen, the background image of the person to be analyzed, and the like.

The clustering unit 15 clusters the change in the biological reaction determined to be specific by the peculiarity determination unit 13 (for example, one or a combination of eye gaze, pulse, facial movement, statement content, and voice quality), and the peculiarity Analyzing the degree of correlation with an event (event identified by the related event identification unit 14) that occurs when a change in biological reaction occurs, and if it is determined that the correlation is at a certain level or more , to cluster the subjects or events based on the correlation analysis results.

For example, if a change in a specific biological reaction corresponds to a negative emotional change, and the event occurring when the specific change in biological reaction occurs is also a negative event, a certain level The above correlation is detected. The clustering unit 15 clusters the person to be analyzed or the event into one of a plurality of pre-segmented categories according to the content of the event, the degree of negativity, the magnitude of the correlation, and the like.

Similarly, if a specific change in biological reaction corresponds to a positive emotional change and the event occurring when the specific change in biological reaction occurs is also a positive event, Level or higher correlations are detected. The clustering unit 15 clusters the person to be analyzed or the event into one of a plurality of pre-segmented classifications according to the content of the event, the degree of positivity, the degree of correlation, and the like.

The analysis result notification unit 16 reports at least one of the changes in the biological reaction determined to be specific by the peculiar determination unit 13, the event identified by the related event identification unit 14, and the classification clustered by the clustering unit 15. , to notify the designator of the subject of analysis (the subject of analysis or the organizer of the online session).

For example, the analysis result notification unit 16 recognizes that when a change in a specific biological reaction that is different from that of the other person occurs in the person to be analyzed (one of the three patterns described above; the same applies hereinafter), the analysis target is Notifies the person to be analyzed of his/her own behavior. This allows the person to be analyzed to understand that he/she has a different feeling from others when he or she performs a certain behavior. At this time, the person to be analyzed may also be notified of the change in the specific biological reaction identified for the person to be analyzed. Furthermore, the person to be analyzed may be further notified of the change in the biological reaction of the other person to be compared.

For example, the words and deeds of the person to be analyzed performed without being particularly conscious of their usual emotions, or the words and deeds of the person to be analyzed consciously accompanied by certain emotions, and the emotions and behaviors that others received When the emotion held by the person to be analyzed is different from the feeling held by the person to be analyzed at the time, the person to be analyzed is notified of the speech and behavior of the person to be analyzed at that time. As a result, it is possible to discover behaviors that are well received by others or behaviors that are not well received by others, contrary to one's own consciousness.

In addition, the analysis result notification unit 16 notifies the organizer of the online session of the event occurring when the person to be analyzed undergoes a specific change in biological reaction that is different from that of the other person, together with the change in the specific biological reaction. to notify. As a result, the organizer of the online session can know what kind of event affects what kind of emotional change as a phenomenon specific to the specified analysis subject. Then, it becomes possible to perform appropriate treatment on the person to be analyzed according to the grasped contents.

In addition, the analysis result notification unit 16 notifies the organizer of the online session of the event occurring when a specific change in biological reaction occurs in the analysis subject, which is different from that of others, or the clustering result of the analysis subject. do. As a result, online session organizers can grasp behavioral tendencies peculiar to analysis subjects and predict possible future behaviors and situations, depending on which classification the specified analysis subjects have been clustered into. be able to. Then, it becomes possible to take appropriate measures for the person to be analyzed.

In the above embodiment, the biological reaction index value is calculated by quantifying the change in biological reaction according to a predetermined standard, and the analysis subject is analyzed based on the biological reaction index value calculated for each of the plurality of people. Although the example of determining whether the change in the biological reaction received is specific compared to others has been described, the present invention is not limited to this example. For example, it may be as follows.

In other words, the biological reaction analysis unit 12 analyzes eye movement of each of the plurality of people and generates a heat map indicating the direction of the eye gaze. The peculiar determination unit 13 compares the heat map generated for the person to be analyzed by the biological reaction analysis unit 12 with the heat map generated for the other person, so that the change in the biological reaction analyzed for the person to be analyzed It is determined whether it is specific compared with the change in biological response analyzed for.

Thus, in this embodiment, moving images of a video session are stored in the local storage of the user terminal 10, and the analysis described above is performed on the user terminal 10. FIG. Although it may depend on the machine specs of the user terminal 10, it is possible to analyze the moving image information without providing it to the outside.

<Functional configuration example 2>
As shown in FIG. 5, the video session evaluation system of this embodiment may include a moving image acquisition unit 11, a biological reaction analysis unit 12, and a reaction information presentation unit 13a as functional configurations.

The reaction information presentation unit 13a presents information indicating changes in biological reactions analyzed by the biological reaction analysis unit 12a, including those of participants not displayed on the screen. For example, the reaction information presenting unit 13a presents information indicating changes in biological reactions to an online session leader, moderator, or administrator (hereinafter collectively referred to as the organizer). Hosts of online sessions are, for example, instructors of online classes, chairpersons and facilitators of online meetings, coaches of sessions for coaching purposes, and the like. An online session host is typically one of the users participating in the online session, but may be another person who does not participate in the online session.

By doing so, the host of the online session can also grasp the state of the participants who are not displayed on the screen in an environment where the online session is held by a plurality of people.

<Functional configuration example 3>
FIG. 6 is a block diagram showing a configuration example according to this embodiment. As shown in FIG. 6, in the video session evaluation system of the present embodiment, functions similar to those of the above-described first embodiment are given the same reference numerals, and explanations thereof may be omitted.

The system according to this embodiment includes a camera unit that acquires images of a video session, a microphone unit that acquires audio, an analysis unit that analyzes and evaluates moving images, and information obtained by evaluating the acquired moving images. an object generator for generating a display object (described below) based on the display; and a display for displaying both the moving image of the video session and the display object during execution of the video session.

The analysis unit includes a moving image acquisition unit 11, biological reaction analysis unit 12, peculiarity determination unit 13, related event identification unit 14, clustering unit 15, and analysis result notification unit 16, as described above. The function of each element is as described above.

As shown in FIG. 7, the object generation unit generates an object 50 representing the recognized face part and the above-mentioned Information 100 indicating the content of the analysis/evaluation performed is superimposed on the moving image and displayed. The object 50 may identify and display all faces of a plurality of persons when the faces of the plurality of persons are moved in the moving image.

In addition, the object 50 is, for example, when the camera function of the video session is stopped at the other party's terminal (that is, it is stopped by software within the application of the video session instead of physically covering the camera). If the other party's face is recognized by the other party's camera, the object 50 or the object 100 may be displayed in the part where the other party's face is located. This makes it possible for both parties to confirm that the other party is in front of the terminal even if the camera function is turned off. In this case, for example, in a video session application, the information obtained from the camera may be hidden while only the object 50 or object 100 corresponding to the face recognized by the analysis unit is displayed. Also, the video information acquired from the video session and the information recognized by the analysis unit may be divided into different display layers, and the layer relating to the former information may be hidden.

If there are multiple moving image display areas, the objects 50 and 100 may be displayed in all areas or only in some areas. For example, as shown in FIG. 8, it may be displayed only on the moving image on the guest side.

Although the preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, the technical scope of the present disclosure is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field of the present disclosure can conceive of various modifications or modifications within the scope of the technical idea described in the claims. are naturally within the technical scope of the present disclosure.

The devices described herein may be implemented as a single device, or may be implemented by a plurality of devices (eg, cloud servers) partially or wholly connected via a network, or the like. For example, the control unit 110 and the storage 130 of each terminal 10 may be realized by different servers connected to each other via a network.

That is, the system includes user terminals 10, 20, a video session service terminal 30 for providing an interactive video session to the user terminals 10, 20, and an evaluation terminal 40 for evaluating the video session, Variation combinations of the following configurations are conceivable.
(1) Processing everything only on the user terminal As shown in FIG. 9, by performing the processing by the analysis unit on the terminal that is performing the video session (although a certain processing capacity is required), the video session can be performed. Analysis/evaluation results can be obtained at the same time (in real time) as you are.
(2) Processing by User Terminal and Evaluation Terminal As shown in FIG. 10, an analysis unit may be provided in an evaluation terminal connected via a network or the like. In this case, the moving images acquired by the user terminal are shared with the evaluation terminal at the same time as or after the video session, and are analyzed and evaluated by the analysis unit in the evaluation terminal. Together with or separately from the moving image data (that is, information including at least analysis data) is shared with the terminal and displayed on the display unit.

<Embodiment>
A first embodiment of the present invention will be described with reference to FIGS. 11 and 12. FIG. The system according to the present embodiment provides information about which place on the screen the eye of the person to be evaluated is gazing (hereinafter referred to as "gazing point"), and information on the material displayed at that time. Analyzes and evaluates information about which part of the displayed material was watched and for how long, and what kind of emotion the participant stopped watching at that time. be. Highly accurate feedback can be obtained by associating not only the mere position and time of the gaze point, but also the user's emotion (change in biological reaction) at that time.

That is, the system according to the present embodiment includes camera means for acquiring a moving image obtained by photographing the person to be evaluated, line-of-sight acquiring means for acquiring the eye movement of the subject based on the acquired moving image, and display means for sequentially displaying a plurality of images to the subject.

In particular, the system has position acquisition means for acquiring the positional relationship between the camera means and the display means. This makes it possible to calibrate the subject's eye movement and gaze point. In the calibration process, for example, as shown in FIGS. 11 and 12, the subject's eye condition is acquired by the camera unit of the display, and then a predetermined place on the screen (calibration point: center, screen Four corners, etc.) to acquire the movement of the eyes. Regarding the acquisition of eye movements, for example, it is possible to have the user look at the calibration points intentionally by playing an announcement on the screen. A conspicuous sign may be displayed only in the center in an eye-catching manner, and the eye movement at that moment may be estimated as a state of gazing at the center (a state in which the point of gaze is at the center).

As shown in FIG. 11, in the present embodiment, gaze points are associated with their gaze time on (shared) material displayed on the screen and output like a heat map. As a result, it is possible to grasp which part of the material was stopped for how long, and the part of interest of the subject can be understood. The gaze point object may change its color, shape, pattern, etc. according to its gaze time.

On the other hand, the point-of-gazing object shown in FIG. 11 may output changes in the user's biological reaction (analyzed emotion) as a heat map when the point-of-gazing of the material is stopped. For example, as a result of analyzing changes in biological reactions, different colors (for example, red and blue) may be used to represent portions gazed at with a good impression and portions gazed at with a bad impression. This makes it possible to visualize not only the fixation time, but also information about what kind of consciousness the person was watching. It should be noted that the emotion visualized as the heat map described above is an example, and may be a multifaceted viewpoint.

In addition, the peculiarity determination unit generates a heat map for the same material in consideration of the movements of other subjects (different sales offices, different students, etc.). may be In this case, the points of gaze of other subjects may also be displayed on the material. At this time, the part that the target person does not gaze at even though the other target person is gazing, or the part that the target person is gazing even though the other target person is not gazing It is good also as outputting the specific characteristic peculiar to a subject like.

In addition, the peculiar determination unit determines that the change in the biological reaction (for example, the gaze with a favorable impression) at the gaze point of a certain subject with respect to the same or close place (the gaze point existing within a predetermined range) is different from the other. It may be determined whether it is specific compared to changes in biological reactions at the gaze point of many subjects (participants) (for example, other participants were gazing with a bad impression) .

As a method of evaluating the material itself, a leveled heat map obtained by leveling the eye movement of the subject may be associated with each material and output. For example, the necessity of the material can be grasped from the point of view of which material was looked at well. On the other hand, it can be seen that there is not much need for materials with short fixation times.

<Supplementary hardware configuration>
The sequence of operations performed by the apparatus described herein may be implemented using software, hardware, or a combination of software and hardware. It is possible to create a computer program for realizing each function of the information sharing support device 10 according to the present embodiment and implement it in a PC or the like. It is also possible to provide a computer-readable recording medium storing such a computer program. The recording medium is, for example, a magnetic disk, an optical disk, a magneto-optical disk, a flash memory, or the like. Also, the above computer program may be distributed, for example, via a network without using a recording medium.

Also, the processes described with reference to flowcharts in this specification do not necessarily have to be executed in the illustrated order. Some processing steps may be performed in parallel. Also, additional processing steps may be employed, and some processing steps may be omitted.

The embodiments described above may be combined as appropriate for implementation. Also, the effects described herein are merely illustrative or exemplary, and are not limiting. In other words, the technology according to the present disclosure can produce other effects that are obvious to those skilled in the art from the description of this specification, in addition to or instead of the above effects.

10, 20 user terminal 30 video session service terminal 40 evaluation terminal

Claims (6)

In an environment where an online session is held by a plurality of users, the reaction of the user is analyzed based on a moving image obtained by photographing the user regardless of whether or not the user is displayed on a screen during the online session. A moving image analysis system,
a display unit that displays a plurality of images to the user;
a camera unit that obtains a moving image obtained by photographing the user during the online session for each of the plurality of users;
an analysis unit that analyzes changes in biological reactions of the user based on the acquired moving image;
a line-of-sight acquisition unit that acquires movement of the user 's line of sight based on the acquired moving image;
a gaze point estimation unit that obtains the positional relationship between the camera unit and the display unit and estimates the user's gaze point on the image based on the user's line of sight;
an output unit that associates and outputs the gaze point and the analyzed change in the biological reaction for each of the plurality of displayed images;
Video image analysis system.
A line-of-sight evaluation system. The line-of-sight evaluation system according to claim 1,
The output unit classifies the change in the biological reaction generated based on the point of gaze and the change in the biological reaction into predetermined types, and outputs a heat map using colors associated with each classification in a superimposed manner. ,
Gaze evaluation system The line-of-sight evaluation system according to claim 1,
The output unit superimposes and outputs a heat map indicating a gaze time generated based on the gaze point.
Gaze evaluation system The line-of-sight evaluation system according to claim 1,
The output unit further associates and outputs the gaze point of another user who displayed the same image.
Gaze evaluation system The line-of-sight evaluation system according to claim 4,
a peculiarity determination unit that determines whether or not the change in the biological reaction at the point of gaze associated with the user is more specific than the change in the biological reaction at the point of gaze associated with the other user; prepare
line of sight evaluation system. The line-of-sight evaluation system according to claim 1,
The output unit associates and outputs a leveled heat map obtained by leveling the eye movements of the plurality of users for each of the images.
line of sight evaluation system.

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