JP7742745B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

In recent years, technologies for holding meetings such as conferences online have been proposed (see, for example, Patent Document 1). In these types of meetings, conversations are realized by sharing video and audio with people in remote locations.

JP 2012-150561 A

However, conventional technology leaves room for improvement in supporting speech to ensure smooth meetings. In particular, when video of the other party is not provided, it is difficult to know when the other party will speak, and there is a risk that your speech will overlap (clash) with that of the other party, preventing a smooth conversation.

This application has been made in light of the above, and aims to provide an information processing device, information processing method, and information processing program that can appropriately support participants' speech.

The information processing device according to the present application comprises an acquisition unit, a detection unit, and a speech support unit. The acquisition unit acquires participant information detected by a sensor from participants participating in an online meeting. The detection unit detects the participant's intention to speak in the meeting based on the participant information. The speech support unit performs speech support processing to support the participant's speech based on the detected intention to speak.

According to one aspect of the embodiment, it is possible to provide appropriate support for participants' speech.

FIG. 1 is a diagram showing information processing part 1 according to the embodiment. FIG. 2 is a diagram illustrating a second information processing according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of an information processing apparatus according to the embodiment. FIG. 5 is a diagram illustrating an example of participant information. FIG. 6 is a flowchart showing the processing procedure of information processing 1 executed by the information processing apparatus according to the embodiment. FIG. 7 is a flowchart showing the processing procedure of information processing part 2 executed by the information processing apparatus according to the embodiment. FIG. 8 is a diagram illustrating an example of a hardware configuration.

Below, detailed explanations will be given of the information processing device, information processing method, and information processing program (hereinafter referred to as "embodiments") according to the present application, with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. Furthermore, identical components in the following embodiments will be designated by the same reference numerals, and duplicate explanations will be omitted.

(Embodiment)
First, information processing 1 executed by an information processing device according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing information processing 1 according to an embodiment. Fig. 1 also shows an example of the operation of an information processing system S including an information processing device 1 according to an embodiment. As shown in Fig. 1, the information processing system S according to an embodiment includes the information processing device 1 and a plurality of participant terminals 50.

Information processing 1 according to this embodiment detects the intention of participants in a meeting to speak based on participant information detected by a sensor, and performs processing to support the participants' speech based on their intention to speak.

Specifically, first, the information processing device 1 according to the embodiment acquires participant information detected by a sensor from each participant participating in an online meeting (step S1). The participant information is, for example, information detected by a sensor provided in the participant terminal 50. The sensor may be, for example, a camera, an acceleration sensor, a biosensor (such as a pulse sensor or a body temperature sensor), a touch sensor (in the case of a touch panel), a microphone, etc.

Next, the information processing device 1 according to the embodiment detects, for each participant, the participant's intention to speak in the meeting based on the participant information (step S2). Based on the participant information, the information processing device 1 identifies the participant's level of concentration in the meeting, whether or not they are about to speak, and facial movements (mouth movements, etc.), and detects the participant's intention to speak based on the identified information.

Speaking intention is detected by detecting whether or not a person is about to speak, how many minutes remaining before they speak, and whether or not they are likely to speak throughout the entire meeting. The information processing device 1 can detect speaking intention using, for example, a model generated by machine learning.

For example, the information processing device 1 detects whether or not a participant has the intention to speak using a model generated using features extracted from participant information as explanatory variables and the presence or absence of an intention to speak as a target variable.

Next, the information processing device 1 according to the embodiment performs speech support processing to support the participants' speech based on the detected intention to speak (step S3). In the example shown in FIG. 1, it is assumed that participant C's intention to speak is detected. In this case, the information processing device 1 notifies participant C via the participant terminal 50 to encourage him or her to speak.

The information processing device 1 may also perform speech support processing based on the situation of the meeting. For example, if another participant A or B is speaking, the information processing device 1 may notify participant C to speak after the other participant A or B has finished speaking.

In addition, the information processing device 1 may perform speech support processing to prohibit participants A and B from speaking when participant C begins speaking. Speech support processing to prohibit participants A and B from speaking is, for example, processing to mute the speech of participants A and B.

In this way, the information processing device 1 according to the embodiment detects a participant's intention to speak based on the participant information and performs processing to support speech based on that intention, thereby enabling appropriate support for speech from participants who intend to speak.

Next, information processing part 2 executed by the information processing device 1 according to the embodiment will be described using FIG. 2. FIG. 2 is a diagram showing information processing part 2 according to the embodiment. In FIG. 2, it is assumed that among the participants taking part in the meeting, there is a person who promotes the progress of the meeting, a so-called facilitator. Note that in FIG. 2, participant A is assumed to be the facilitator. The facilitator is responsible for drawing a conclusion at a predetermined time regarding the agenda that has been set in advance for the meeting.

Information processing part 2 of this embodiment detects the intention of participants in a meeting to speak and the situation of the meeting based on participant information detected by a sensor, and provides support information to the facilitator to help the meeting proceed.

Specifically, first, the information processing device 1 according to the embodiment acquires participant information for each participant who is participating in the online meeting, detected by a sensor (step S11). Note that since the acquisition of participant information is the same process as step S1 described above, a description thereof will be omitted.

Next, the information processing device 1 according to the embodiment detects the intention to speak of each participant in the meeting and the situation of the meeting based on the participant information (step S12). Note that the detection of intention to speak is the same process as step S2 described above, and therefore will not be described again.

The meeting status may include, for example, the progress of the meeting (progress of the agenda), the time remaining until the end of the meeting (or the end of each agenda item), the speech history during the meeting, and the overall status of the meeting (whether the conversation is lively or not, whether everyone is speaking or not), etc.

Next, the information processing device 1 according to the embodiment provides the facilitator with support information to assist in the progress of the meeting based on the detected intention to speak and the meeting status (step S13). For example, the information processing device 1 according to the embodiment provides the facilitator with information about participant C who intends to speak and the remaining time in the meeting (or each agenda item). This allows the facilitator to easily determine whether to allow participant C to speak based on the remaining time, thereby allowing the meeting to proceed appropriately.

In addition, the information processing device 1 may provide information to participant C indicating how much time they are allowed to speak based on the remaining time, for example. In addition, the information processing device 1 may provide display information indicating the degree of intention to speak (the extent to which they want to speak) for each participant.

Next, an example configuration of an information processing system S according to an embodiment will be described using FIG. 3. FIG. 3 is a block diagram showing an example configuration of an information processing system S according to an embodiment. As shown in FIG. 3, in the information processing system S according to an embodiment, an information processing device 1 and multiple participant terminals 50 are connected to a network N via a wired or wireless connection. The network N is, for example, the Internet, a WAN (Wide Area Network), a LAN (Local Area Network), or the like.

The information processing device 1 is a server device that executes an information processing method. The information processing device 1 acquires participant information and detects participants' intentions to speak and the meeting situation, thereby providing speech support processing for participants and providing support information to the facilitator.

The information processing device 1 is an information processing device that works in conjunction with each participant's participant terminal 50 and provides each participant's participant terminal 50 with API (Application Programming Interface) services for applications (hereinafter referred to as apps) that conduct online meetings, as well as various data, and is realized by a server device, cloud system, etc.

In addition, the information processing device 1 may be an information processing device that provides a web service for conducting online meetings to each user's participant terminal 50.

The participant terminal 50 is a terminal device carried by a participant. The participant terminal 50 can be any type of terminal device, such as a smartphone, desktop PC, notebook PC, or tablet PC. The participant terminal 50 is equipped with various sensors that detect participant information, and transmits the detected participant information to the information processing device 1 and receives information provided by the information processing device 1.

Next, an example configuration of the information processing device 1 will be described with reference to Figure 4.

Figure 4 is a diagram showing an example configuration of an information processing device 1 according to an embodiment. As shown in Figure 4, the information processing device 1 has a communication unit 2, a control unit 3, and a memory unit 4. The control unit 3 includes an acquisition unit 31, a detection unit 32, and an MT control unit 33. The memory unit 4 stores participant information 41.

The communication unit 2 is realized, for example, by a network interface card (NIC). The communication unit 2 is connected to the network via a wired or wireless connection.

The control unit 3 is a controller, and is realized by a processor such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit) executing various programs (equivalent to examples of information processing programs) stored in a storage device within the information processing device 1 using RAM or the like as a working area. The control unit 3 may also be a controller, and may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), or GPGPU (General Purpose Graphics Processing Unit).

The storage unit 4 is realized, for example, by a semiconductor memory element such as RAM (Random Access Memory) or flash memory, or by a storage device such as a hard disk or optical disk.

Participant information 41 is information about participants. Figure 5 shows an example of participant information 41. As shown in Figure 5, participant information 41 includes items such as "Participant ID," "Attribute information," and "MT history information."

"Participant ID" is identification information that identifies a participant. "Attribute information" is information about the participant's attributes, including psychographic attributes and demographic attributes. "MT history information" is information about the history of speech in meetings that a participant has previously attended, including, for example, the frequency of speech, the length of each speech, and the activeness of speech.

Next, we will explain each function of the control unit 3 of the information processing device 1 (acquisition unit 31, detection unit 32, and MT control unit 33).

The acquisition unit 31 acquires participant information. For example, the acquisition unit 31 acquires, as participant information, an image captured by a camera provided in the participant terminal 50. The acquisition unit 31 also acquires, as participant information, the detection value of an acceleration sensor provided in the participant terminal 50. The acquisition unit 31 also acquires, as participant information, the detection value of a biosensor (such as a pulse sensor or a body temperature sensor) provided in the participant terminal 50 (or connected to the participant terminal 50 via a wired or wireless connection). The acquisition unit 31 also acquires, as participant information, the detection value (touch status) of a touch sensor (in the case of a touch panel) provided in the participant terminal 50. The acquisition unit 31 also acquires, as participant information, audio information (including whether or not there is speech) collected by a microphone provided in the participant terminal 50.

The detection unit 32 detects each participant's intention to speak. For example, the detection unit 32 detects the participant's intention to speak from the participant's movements detected based on camera images. For example, the detection unit 32 detects the participant's intention to speak from the movement of their mouth.

The detection unit 32 also detects an intention to speak when a participant approaches the microphone or clears their throat to adjust their vocal cords. The detection unit 32 also detects the participant's level of concentration in the meeting based on camera images, and detects an intention to speak based on this level of concentration.

For example, if a participant is not looking at materials shared in a meeting or is performing searches or the like on another screen, the detection unit 32 determines that the participant is not concentrating and detects that the participant has no intention to speak.

The detection unit 32 may also detect the presence or absence of an intention to speak using a model generated using the above-mentioned features (participant movements, etc.) detected (extracted) from the participant information as explanatory variables and the presence or absence of an intention to speak as a target variable.

Furthermore, this explanatory variable may also take into account, for example, silent periods in which none of the participants are speaking during the meeting, or participants' MT history information.

Furthermore, the detection unit 32 may detect not only the presence or absence of an intention to speak, but also the degree of intention to speak (how much one wants to speak). The degree of intention to speak can be detected using, for example, a model generated using the above-mentioned participant information, silent periods, and MT history information as explanatory variables and the degree of intention to speak as the objective variable.

The detection unit 32 also detects the status of the meeting. For example, the detection unit 32 detects the progress of the meeting (progress of the agenda), the time remaining until the end of the meeting (or the end of each agenda item), the speech history during the meeting, and the overall status of the meeting (whether the conversation is lively or not, whether everyone is speaking or not), etc.

For example, the detection unit 32 may detect the remaining time until the end of the meeting based on the participants' schedule information, or may analyze the content of participants' speech to detect the current agenda or the progress of the meeting. The detection unit 32 may also accept an operation from a participant (moderator) indicating that the agenda has changed.

The MT control unit 33 performs various controls related to the meeting. As shown in FIG. 4, the MT control unit 33 includes a speech support unit 331 and a provision unit 332.

The speech support unit 331 performs speech support processing to support participants' speech based on the detected intention to speak. For example, the speech support unit 331 notifies participants who intend to speak to encourage them to speak. For example, the speech support unit 331 predicts the speaking time of other participants who are currently speaking, and notifies them that they will be able to speak after the predicted speaking time. The speaking time can be predicted, for example, based on the MT history information of the other participants.

The speech support unit 331 may also perform processing to prohibit other participants from speaking when a participant who intends to speak begins speaking. Processing to prohibit speaking may include, for example, muting, or notifying other participants that speaking is prohibited.

Furthermore, when multiple participants intend to speak, the speech support unit 331 may determine the order of notifications encouraging speech based on, for example, the participant's attribute information or the meeting situation. For example, the speech support unit 331 may issue notifications encouraging speech in order of the participant's position, or, if there is little time left in the meeting, may prioritize notifications encouraging speech to participants who are closely involved in the meeting agenda (e.g., participants whose job duties are related to the agenda). The speech support unit 331 may also determine the order of notifications encouraging speech based on the participants' proactiveness in speaking in past meetings. For example, when both an active participant and a passive participant express an intention to speak, the speech support unit 331 may prioritize notifications encouraging speech to the passive participant. The speech support unit 331 may also lower the priority of notifications encouraging speech for participants who are likely to speak near the end of the meeting based on MT history information. Additionally, the speech support unit 331 may assign priorities to each participant according to their level of willingness to speak.

The providing unit 332 provides the facilitator with support information to assist in the progress of the meeting based on the detected intention to speak and the status of the meeting. For example, the providing unit 332 provides the facilitator with information about participant C who intends to speak and the remaining time in the meeting (or each agenda item). This allows the facilitator to easily determine whether to allow participant C to speak based on the remaining time, thereby allowing the meeting to proceed appropriately.

The providing unit 332 may also provide information on how much time participant C is allowed to speak (allowed speaking time), for example, based on the remaining time. In other words, the providing unit 332 provides permission information regarding speaking permission based on the progress of the meeting. The providing unit 332 may also provide display information indicating the degree of willingness to speak (the extent to which the participant wants to speak) for each participant. For example, the providing unit 332 displays support information in a display format according to the degree of willingness to speak. This allows the facilitator to easily determine the extent to which the participants intend to speak.

In addition, the providing unit 332 provides support information on an agenda-by-agenda basis based on the status of each agenda detected by the detecting unit 32. This allows for appropriate progress to be made for each agenda.

Next, the processing procedures for information processing part 1 and part 2 executed by the information processing device 1 according to the embodiment will be described using Figures 6 and 7. Figure 6 is a flowchart showing the processing procedures for information processing part 1 executed by the information processing device 1 according to the embodiment. Figure 7 is a flowchart showing the processing procedures for information processing part 2 executed by the information processing device 1 according to the embodiment.

As shown in FIG. 6, in information processing 1, the control unit 3 first acquires participant information via the participant terminal 50 (step S101). Next, the control unit 3 detects the participant's intention to speak based on the participant information (step S102). Next, the control unit 3 performs speech support processing to support the participant's speech based on the detected intention to speak (step S103), and then ends the processing.

Next, as shown in FIG. 7, in information processing 2, the control unit 3 first acquires participant information via the participant terminal 50 (step S201). Next, the control unit 3 detects the participants' intention to speak and the meeting situation based on the participant information (step S202). Next, the control unit 3 provides the facilitator with support information to support the progress of the meeting based on the detected intention to speak and the meeting situation (step S203), and then ends the processing.

〔others〕
Furthermore, among the processes described in the above embodiments, some of the processes described as being performed automatically can also be performed manually. Alternatively, all or some of the processes described as being performed manually can be performed automatically using known methods. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

Furthermore, the components of each device shown in the figure are functional concepts and do not necessarily have to be physically configured as shown. In other words, the specific form of distribution and integration of each device is not limited to that shown, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, part or all of the memory unit 4 shown in FIG. 4 may be stored in a storage server or the like, rather than being stored in each device. In this case, each device obtains various information by accessing the storage server.

[Hardware configuration]
The information processing device 1 according to the embodiment described above is realized by, for example, a computer 1000 configured as shown in Fig. 8. Fig. 8 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090.

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and secondary storage device 1050, and programs read from the input device 1020, and executes various processes. The primary storage device 1040 is a memory device, such as RAM, that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), HDD (Hard Disk Drive), flash memory, etc.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010, such as a monitor or printer, which outputs various types of information. It is implemented, for example, by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (High Definition Multimedia Interface). The input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, and scanner, and is implemented, for example, by USB.

The input device 1020 may be a device that reads information from optical recording media such as a CD (Compact Disc), DVD (Digital Versatile Disc), or PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. The input device 1020 may also be an external storage medium such as a USB memory.

Network IF 1080 receives data from other devices via network N and sends it to the computing device 1030, and also transmits data generated by the computing device 1030 to other devices via network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 1, the arithmetic unit 1030 of the computer 1000 realizes the functions of the control unit 3 by executing a program loaded onto the primary storage device 1040.

〔effect〕
As described above, the information processing device 1 according to the embodiment includes an acquisition unit 31, a detection unit 32, and a speech support unit 331. The acquisition unit 31 acquires participant information detected by a sensor from participants participating in an online meeting. The detection unit 32 detects the participants' intention to speak in the meeting based on the participant information. The speech support unit 331 performs speech support processing to support the participants' speech based on the detected intention to speak. The acquisition unit 31 acquires, as participant information, images captured by a camera provided in the participant terminal 50 carried by the participant. The detection unit 32 detects the participants' intention to speak based on the movements of the participants detected based on the camera images. The detection unit 32 detects the participants' mouth movements as the movements of the participants. The detection unit 32 detects the participants' intention to speak based on the participants' levels of concentration on the meeting detected based on the camera images. The acquisition unit 31 acquires whether or not the participants are currently speaking as participant information. The detection unit 32 detects silent periods in the meeting in which none of the participants are speaking, and detects the participants' intention to speak based on the silent periods. The acquisition unit 31 acquires information on the speech situations of participants in past meetings. The detection unit 32 detects an intention to speak based on the speech situations in past meetings. The speech support unit 331 notifies participants who are detected as intending to speak to encourage them to speak. When a participant who is detected as intending to speak starts speaking, the speech support unit 331 performs processing to prohibit other participants from speaking. The processing to prohibit speaking is muting processing. With this configuration, it is possible to appropriately support participants' speech.

As described above, the information processing device 1 according to the embodiment includes an acquisition unit 31, a detection unit 32, and a provision unit 332. The acquisition unit 31 acquires participant information detected by a sensor from each participant participating in an online meeting. The detection unit 32 detects the participant's intention to speak in the meeting and the status of the meeting based on the participant information. The provision unit 332 provides support information to the meeting facilitator to support the progress of the meeting based on the detected intention to speak and the status of the meeting. The detection unit 32 detects the progress of the meeting. The provision unit 332 provides the facilitator with permission information regarding speech permission for participants who intend to speak based on the progress status. The permission information includes information on the permitted speaking time based on the remaining time of the meeting. The detection unit 32 detects the status for each agenda item in the meeting. The provision unit 332 provides the facilitator with support information for each agenda item. The detection unit 32 detects the degree of intention to speak. The provision unit 332 provides support information according to the degree of intention to speak. The providing unit 332 provides information on the display mode according to the degree of intention to speak. The acquiring unit 31 acquires, as participant information, images from a camera provided on the participant terminal 50 carried by the participant. The detecting unit 32 detects an intention to speak based on the movement of the participant detected based on the camera image. The detecting unit 32 detects the movement of the participant's mouth as the movement of the participant. The detecting unit 32 detects an intention to speak based on the participant's level of concentration on the meeting detected based on the camera image. The acquiring unit 31 acquires information on the participant's speech situation in past meetings. The detecting unit 32 detects an intention to speak based on the speech situation in past meetings. This configuration allows the meeting to proceed appropriately.

The above describes in detail some of the embodiments of the present application based on the drawings, but these are merely examples, and the present invention can be implemented in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the Disclosure of the Invention section.

〔others〕
Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using known methods. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

Furthermore, the components of each device shown in the figure are functional concepts and do not necessarily have to be physically configured as shown. In other words, the specific form of distribution and integration of each device is not limited to that shown, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

Furthermore, the processes described in the above embodiments can be combined as appropriate to the extent that the processing content is not contradictory.

Furthermore, the above-mentioned "section, module, unit" can be interpreted as "means" or "circuit." For example, the control unit 3 can be interpreted as control means or control circuit.

REFERENCE SIGNS LIST 1 Information processing device 2 Communication unit 3 Control unit 4 Storage unit 31 Acquisition unit 32 Detection unit 33 MT control unit 41 Participant information 50 Participant terminal 331 Speech support unit 332 Provision unit S Information processing system

Claims (10)

an acquisition unit that acquires participant information detected by a sensor from participants participating in an online meeting;
a detection unit that detects, based on the participant information, an intention to speak, which indicates that the participant in the meeting is about to speak;
a speech support unit that performs speech support processing to support the speech of the participant based on the detected intention to speak ;
Equipped with
The acquisition unit
Acquire information about the participants' speech situations in the past meetings;
The detection unit
Detecting the intention to speak based on the speech situations in the past meetings.
An information processing device characterized by: The acquisition unit
Acquires an image from a camera equipped on a participant terminal carried by the participant as the participant information;
The detection unit
The information processing device according to claim 1 , wherein the intention to speak is detected based on the movement of the participant detected based on the image captured by the camera. The detection unit
The information processing device according to claim 2 , wherein the movement of the participant is detected by detecting the movement of the mouth of the participant. The detection unit
The information processing device according to claim 2 or 3, wherein the intention to speak is detected based on the degree of concentration of the participants in the meeting detected based on the image from the camera. The acquisition unit
acquiring, as the participant information, whether or not the participant is currently speaking;
The detection unit
5. The information processing device according to claim 1, further comprising: detecting a silent period in which none of the participants is speaking in the meeting; and detecting the intention to speak based on the silent period. The speech support unit
The information processing device according to claim 1 , further comprising: a notification that prompts the participant who is detected as having the intention to speak to speak. The speech support unit
The information processing device according to any one of claims 1 to 6 , wherein when the participant detected as having the intention to speak starts speaking, a process of prohibiting other participants from speaking is performed. The process of prohibiting speech includes:
The information processing device according to claim 7 , wherein the processing is a muting process. 1. A computer-implemented information processing method, comprising:
an acquisition step of acquiring participant information detected by a sensor from participants participating in an online meeting;
a detecting step of detecting an intention to speak based on the participant information, the intention indicating that the participant in the meeting is about to speak;
a speech support step of performing a speech support process to support the speech of the participant based on the detected intention to speak ;
Including,
The obtaining step includes:
Acquire information about the participants' speech situations in the past meetings;
The detecting step
Detecting the intention to speak based on the speech situations in the past meetings.
An information processing method comprising: An acquisition step of acquiring participant information detected by a sensor from participants participating in an online meeting;
a detection step of detecting an intention to speak, which indicates that the participant in the meeting is about to speak, based on the participant information;
a speech support procedure for performing a speech support process to support the speech of the participant based on the detected intention to speak ;
on the computer ,
The acquisition procedure includes:
Acquire information about the participants' speech situations in the past meetings;
The detection procedure comprises:
Detecting the intention to speak based on the speech situations in the past meetings.
An information processing program characterized by: