JP2013003880A - Consent making support device, consent making support program, and consent making support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To support analysis of opinion by general attendants when making consent between discussion among a plurality of opinion leaders and the opinions by the general attendants to the discussion with respect to an object issue.SOLUTION: A consent making support device 1 includes a storage device 100 which stores utterance data 102 including utterance content data including an identifier and an utterance type of an utterance object, utterance acquisition means 204 of displaying a screen for accepting input of an utterance and choices of the identifier and the utterance type of the utterance object, and storing utterance content data in the utterance data 102 once receiving the utterance content data, and filtering means 206 of displaying the utterance data 102, and extracting and displaying utterance content data including a selected type of an utterance object or utterance type and displaying the data when the type of the utterance object or utterance type is selected.

Description

  The present invention provides an agreement formation support apparatus, an agreement formation support program, and an agreement formation support program for supporting analysis of a participant's remarks regarding a discussion in the formation of an agreement between a discussion by a plurality of opinion leaders and an opinion of a general participant on the discussion regarding the subject problem. Concerning consensus building support method.

  Nowadays, countermeasures for one risk may create another risk. For example, the use of bioethanol to solve the energy problem has caused a food problem. In preparation for this, it is necessary to consider countermeasures in consideration of multiple risks.

  There is a method for supporting consensus building within an organization when considering countermeasures in consideration of this multiple risk (see Non-Patent Document 1, for example). According to the method described in Non-Patent Document 1, for a plurality of countermeasures that avoid a plurality of risks, for example, an optimal combination that minimizes the total cost is calculated.

  On the other hand, with the development of information communication, new IT risks are increasing. In order to cope with such IT risks, countermeasures such as monitoring and filtering of communication information and introduction of surveillance cameras are being studied.

Ryoichi Sasaki, Satoshi Hidaka, Takashi Moriya, Mitsuhiro Taniyama, Takashi Yajima, Kiyomi Yae, Yasumasa Kawashima, Hiroshi Yoshiura, "Development and Application of Multiple Risk Communicators", Information Processing Society of Japan, Information Processing Society of Japan, September 2008, Vol. 49, no. 9, p. 3180-3190

  However, the countermeasures against IT risks as described above have a great influence and may affect many people. Moreover, even if IT risk can be reduced, personal privacy and convenience may be sacrificed. Therefore, the introduction of these countermeasures requires social consensus building after taking into account risks and effects.

  Here, according to the method described in Non-Patent Document 1, although an effect can be expected for a specific small number of consensus formations such as in an organization, it is difficult to apply to social consensus formation of several thousand people. is there. In particular, in order to form a consensus including a large number of ordinary people, it is necessary to accurately grasp the opinions of participants.

  Therefore, it is expected to propose a method for accurately grasping many opinions and supporting social consensus building.

  Accordingly, an object of the present invention is to provide a consensus building support apparatus, a consensus building support program, and a consensus building support method that accurately grasp a large number of opinions and support social consensus building.

  In order to solve the above-mentioned problems, the first feature of the present invention is to support the analysis of the opinions of the participants in the consensus formation between the discussions of the plurality of opinion leaders and the opinions of the general participants on the discussions regarding the target problem. The present invention relates to a consensus building support apparatus. That is, the consensus building support apparatus according to the first feature of the present invention includes a storage device that stores speech data including speech content data including a speech target identifier and a speech type, a speech input identifier and a speech target. When the screen for selecting the type is displayed and the content data of the utterance is received, the utterance acquisition means to be stored in the utterance data and the utterance data are displayed, and when the utterance target type or the utterance type is selected, the selected utterance is displayed. Filtering means for extracting and displaying message content data including the target type or the message type is provided.

  Here, the keyword included in the utterance of each utterance content data is acquired from the utterance data, a plurality of groups including the utterance content data similar to the acquired keyword are generated, and the number of the utterance content data included in each group And speech analysis means for displaying the predetermined speech content data of each group in association with each other.

  The speech content data further includes the creation date and time of the speech, and the speech analysis means further acquires, from the speech data, the keywords included in the speech of each speech content data in association with the creation date and time, and counts the keywords by time. May be displayed.

  The speech analysis means may further count and display speech content data including the identifier to be speeched.

  The message content data that is replied as a reply to the predetermined message includes a response source identifier indicating the message content data of the reply source, and the message analysis means further includes the number of message content data in response to each message content data of the message data. Counts the number of utterance contents data that has been replied to each predetermined utterance content data of the utterance data, and displays the replies with replies superimposed. You may display the utterance content data with many content data.

  The second feature of the present invention is used in a consensus building support apparatus that supports analysis of participants' opinions in the consensus building between a discussion by a plurality of opinion leaders and the opinions of general participants on the discussion regarding the target problem. Concerning consensus building support program. That is, the consensus building support program according to the second feature displays a screen for allowing the computer to input a speech and to select an identifier and a speech type of the speech target, and receives speech content data including the identifier and the speech type of the speech target Then, the speech acquisition means for storing the speech data including the speech content data, and the speech data are displayed, and when the speech target type or speech type is selected, the speech including the selected speech target type or speech type is selected. It functions as a filtering means for extracting and displaying content data.

  Here, the keyword included in the utterance of each utterance content data is acquired from the utterance data, a plurality of groups including the utterance content data similar to the acquired keyword are generated, and the number of the utterance content data included in each group And a message analysis means for displaying the corresponding message content data of each group in association with each other.

  The speech content data further includes the creation date and time of the speech, and the speech analysis means further acquires, from the speech data, the keywords included in the speech of each speech content data in association with the creation date and time, and counts the keywords by time. May be displayed.

  The speech analysis means may further count and display speech content data including the identifier to be speeched.

  The message content data that is replied as a reply to the predetermined message includes a response source identifier indicating the message content data of the reply source, and the message analysis means further includes the number of message content data in response to each message content data of the message data. Counts the number of utterance contents data that has been replied to each predetermined utterance content data of the utterance data, and displays the replies with replies superimposed. You may display the utterance content data with many content data.

  The third feature of the present invention relates to a consensus building support method that supports analysis of the opinions of participants in the consensus formation between a discussion by a plurality of opinion leaders and the opinions of general participants on the discussion. The consensus building support method according to the third aspect of the present invention displays a screen for inputting an utterance, selecting an utterance target identifier and an utterance type, and receiving utterance content data including the utterance target identifier and the utterance type. , Storing the speech data including the speech content data, and displaying the speech data, and when the speech target type or the speech type is selected, the speech content data including the selected speech target type or the speech type is displayed. Extracting and displaying.

  According to the present invention, it is possible to provide a consensus building support apparatus, a consensus building support program, and a consensus building support method for accurately grasping a large number of opinions and supporting social consensus building.

It is a figure explaining the system configuration | structure of the consensus formation assistance system which concerns on embodiment of this invention. It is a sequence diagram explaining the process of the consensus formation support system which concerns on embodiment of this invention. (Part 1) It is a sequence diagram explaining the process of the consensus formation support system which concerns on embodiment of this invention. (Part 2) It is a sequence diagram explaining the process of the consensus formation support system which concerns on embodiment of this invention. (Part 3) It is a figure explaining an example of the screen which a consensus formation assistance apparatus which concerns on embodiment of this invention displays on a general participant terminal at the time of an optimal solution display. It is a figure explaining the speech input part which the consensus formation assistance apparatus which concerns on embodiment of this invention displays. It is a figure explaining the statement content data filtered in the comment input part which the consensus formation assistance apparatus which concerns on embodiment of this invention displays. It is a figure explaining an example of the screen which a consensus building assistance apparatus which concerns on embodiment of this invention displays on a general participant terminal at the time of the display of a subject problem expert's message. It is a figure explaining an example of the screen which the agreement formation assistance apparatus which concerns on embodiment of this invention displays on an opinion leader terminal and a facilitator terminal. It is a figure explaining an example of the screen which a consensus formation assistance apparatus which concerns on embodiment of this invention displays on a director terminal. It is a figure explaining an example of the screen which the consensus building assistance apparatus which concerns on embodiment of this invention displays on a target problem expert terminal. In the consensus formation support system which concerns on embodiment of this invention, it is a figure explaining the process of statement data. It is a functional block diagram of the agreement formation assistance apparatus which concerns on embodiment of this invention. It is a figure explaining a studio discussion support means in the consensus formation support apparatus which concerns on embodiment of this invention. It is a figure explaining comment data in the consensus building support apparatus which concerns on embodiment of this invention. It is a figure explaining tag correspondence table data in the consensus building support apparatus according to the embodiment of the present invention. It is a figure explaining phase corresponding | compatible data in the consensus formation assistance apparatus which concerns on embodiment of this invention. It is a figure explaining an example of the screen which inputs an identifier total condition in the consensus formation assistance apparatus which concerns on embodiment of this invention. It is a figure explaining an example of the screen which displays an identifier total result in the consensus formation assistance apparatus which concerns on embodiment of this invention. It is a figure explaining an example of the screen which inputs a keyword time series analysis condition in the consensus formation assistance apparatus which concerns on embodiment of this invention. It is a figure explaining an example of the screen which displays a keyword time series analysis result in the consensus building assistance apparatus which concerns on embodiment of this invention. It is a figure explaining the tree structure of an utterance in the consensus building assistance apparatus which concerns on embodiment of this invention. It is a figure explaining an example of the screen which displays the aggregation result of an utterance in the consensus formation assistance apparatus which concerns on embodiment of this invention. It is a figure explaining an example of the screen which relates and inputs the connection of a statement in the consensus formation assistance apparatus which concerns on embodiment of this invention.

  Next, embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

(Overview)
The consensus building support apparatus 1 according to the embodiment of the present invention supports communication in two layers, communication between a facilitator and a plurality of opinion leaders, and communication by a general participant, and a director who controls this communication. Supporting social consensus building through support. The consensus building support apparatus 1 further supports the communication of experts on the subject of discussion in order to help the general participants understand. Here, the communication between the facilitator and the plurality of opinion readers is referred to as a first layer. Further, communication by general participants is referred to as a second hierarchy. The director determines the direction of the overall discussion in the first and second layers, and outputs messages and analysis results as appropriate to support consensus building.

  In the first hierarchy, the support described in Non-Patent Document 1 is further expanded to support communication. In the embodiment of the present invention, communication support in the first hierarchy is realized by the studio discussion support means 201 of the consensus building support apparatus 1 shown in FIG.

  In the second layer, the discussion in the first layer is distributed to the general participants as video data, and the general participants input opinions on the video data, so that the general participants participate in the discussion. Help you to do it. In the embodiment of the present invention, communication support in the second hierarchy is realized by the general participant support means 202 of the consensus building support apparatus 1 shown in FIG. Here, in the embodiment of the present invention, the general participant can input an opinion in either the systematic route opinion format or the heuristic route opinion format.

  Here, the “systematic route” is a form in which people who are interested in the object of discussion express their opinions. The systematic route is a communication form suitable for a person with high motivation for the object and high processing ability for the object. In the systematic route, a general participant can input arbitrary opinion data into the consensus building support apparatus 1 by inputting an opinion in a text box or the like displayed on the screen. In the systematic route, the consensus building support apparatus 1 may be provided with a bulletin board or a microblog system such as Twitter (registered trademark). By using such a general-purpose microblogging system, it is possible to collect opinions from tens of thousands of general participants.

  Opinions on the Systematic Route take the form of associating identifiers of general participants and replying to opinions of other general participants. Thereby, each opinion can be related. Therefore, the graph theory and natural language processing technology can automatically analyze those that are highly important or admired among these opinions and reflect them effectively in the opinion leader.

  The “heuristic route” is a form in which an arbitrary opinion is not claimed but another person's opinion is selected. The heuristic route is a communication form suitable for a person who does not have high motivation for the object and does not have high processing ability for the object. In the heuristic route, the general participant can input speech content data expressing the opinion in a text format to the consensus building support apparatus 1 by selecting each person's opinion displayed on the screen with a radio button or the like. . The heuristic route can collect opinions from more general participants.

  The consensus building support apparatus 1 according to the embodiment of the present invention is used in web-based public hearings, consensus conferences, business journals, television discussion programs, and the like. The consensus building support apparatus 1 supports consensus building between a person who attends a discussion at such a discussion venue and a person who views the state of the discussion. The consensus building support apparatus 1 displays the state of the discussion at the discussion venue on the general participant terminal 8, inputs the opinion of the general participant to the general participant terminal 8, and acquires the opinion. In addition, the consensus building support apparatus 1 displays an objective analysis result and message of the discussion by the director, and an opinion input by a general participant on a display monitor installed in the discussion venue and an opinion leader participating in the discussion. Is displayed on the terminal referenced by. As a result, the opinion leader can proceed with the discussion while considering the opinions of general participants. Further, the consensus building support apparatus 1 displays the explanation and message of the subject problem expert on a terminal referred to by a general participant. As a result, the general participant can grasp the target problem based on the explanation and message of the target problem expert and appropriately participate in the discussion.

  As described above, the consensus building support apparatus 1 according to the embodiment of the present invention supports the two-layer communication of communication between the facilitator and the opinion leader and communication by a large number of general participants. Can support consensus building.

(Consensus building support system)
With reference to FIG. 1, a consensus building support system 10 in which the consensus building support apparatus 1 according to the embodiment of the present invention is used will be described. The consensus building support system 10 includes a discussion support system 9, a moving image distribution device 6, a microblog providing device 7, and a general participant terminal 8. The discussion support system 9, the moving image distribution device 6, the microblog providing device 7, and the general participant terminal 8 are connected by a communication network 5b so as to be capable of two-way communication. The communication network 5b is, for example, the Internet.

  The moving image distribution device 6 is a general computer, and when a discussion live video is distributed from the discussion support system 9, it distributes it to the general participant terminal 8. This live video may be linked and distributed to a screen generated by the consensus building support apparatus 1 described later.

  The microblog providing device 7 is a general computer, and acquires speech content data input from the general participant terminal 8 from the consensus building support device 1 and sends it to the general participant terminal 8 and the discussion support system 9. You may distribute. This opinion data may be linked and distributed to a screen generated by the consensus building support apparatus 1 described later. The microblog providing device 7 is a server that provides a microblog service such as Twitter (registered trademark).

  The microblog providing device 7 may acquire and distribute opinion data of all persons participating in the consensus building support system 10 according to the embodiment of the present invention. All persons participating in the consensus building support system 10 include not only general participants but also directors, facilitators, opinion leaders, target problem experts, and the like. In addition, by acquiring each comment content data from the consensus building support apparatus 1, a user of a microblog who has not participated in the discussion can also browse the comment content data.

  This speech content data includes the speech ID, creation time, speaker's ID, and when the speech is a reply of another speech, the other speaker's ID, other speech IDs, and the text of the speech including. Here, the speaker's ID is an ID issued by the microblog providing device 7.

  In the embodiment of the present invention, the microblog providing apparatus 7 has a restriction that the body of the speech of the speech content data is within a predetermined number of characters. In addition, by including a predetermined tag (hash tag) in this utterance, the consensus building support apparatus 1 can collect utterances related to this tag using this tag as a search key.

  The general participant terminal 8 is an information device used by a general participant. The general participant terminal 8 includes an input device, a display device, a central processing control device, a storage device, and the like, and specifically includes a desktop personal computer, a notebook personal computer, a smartphone, and a mobile phone. In the embodiment of the present invention, a large number of general participants are assumed, and each general participant uses any one of the general participant terminals 8a, 8b, 8c. In the embodiment of the present invention, the general participant terminals 8a, 8b, 8c,.

  The discussion support system 9 is provided in a place where communication in the first layer is taken, such as a conference hall where opinion leaders gather, or a television station studio in the case of a television discussion. The discussion support system 9 includes an agreement formation support apparatus 1, a facilitator terminal 2, an opinion reader terminal 3, a director terminal 4, a target problem expert terminal 9, and a display monitor 11. The consensus building support apparatus 1, the facilitator terminal 2, the opinion leader terminal 3, the director terminal 4, the target problem expert terminal 9, and the display monitor 11 are connected to each other by a communication network 5a. The communication network 5a is, for example, a LAN (Local Area Network). In the example shown in FIG. 1, the case where the target problem expert terminal 9 is connected to the communication network 5a has been described, but it may be connected to the communication network 5b.

  The consensus building support apparatus 1 supports the understanding of the discussion progress by the director and supports communication in the first layer and communication in the second layer to support social consensus formation by opinion leaders and general participants. The consensus building support apparatus 1 is realized by executing a program that executes a predetermined process on a general computer. As shown in FIG. 13, the consensus building support apparatus 1 includes studio discussion support means 201, general participant support means 202, director support means 207, and the like.

  The studio discussion support means 201 supports communication in the first hierarchy, displays opinion data of general participants, and makes an opinion leader recognize the opinion data. The studio discussion support means 201 calculates and displays an optimal solution based on parameters input by the facilitator or opinion reader. The facilitator and opinion leader proceed with the discussion with reference to the displayed optimal solution.

  The general participant support means 202 supports communication in the second layer, displays the state of the discussion by the facilitator and the opinion leader, and the optimum solution, and makes the general participant recognize. The general participant support means 202 acquires opinion data input by the general participant and displays it on other general participants.

  Based on the instruction input by the director, the director support means 207 analyzes opinions such as a facilitator and an opinion leader according to the progress of the discussion by a predetermined analysis method, and outputs the analysis result. This analysis result is output to the terminal designated by the director.

  The facilitator terminal 2 is a computer used by the facilitator. In the embodiment of the present invention, a single facilitator is assumed, and a case where the presenter also serves as a facilitator will be described.

  The opinion reader terminal 3 is a computer used by the opinion reader. In the embodiment of the present invention, several opinion readers are assumed, and each opinion reader uses one of the opinion reader terminals 3a, 3b,. In the embodiment of the present invention, the opinion reader terminals 3a, 3b,...

  The director terminal 4 is a computer used by the director. The target problem expert terminal 9 is a computer used by the target problem expert.

  The display monitor 11 is a display device on which the studio discussion support means 201 displays a screen. The display monitor 11 is installed in a discussion hall, for example, and has a size that can be referred to by people in the hall, such as a facilitator and an opinion reader.

  In the embodiment of the present invention, the consensus building support apparatus 1 stores formulation result data that is formulation data for calculating an optimal solution. By giving parameter data to the formulation based on the formulation result data, the studio discussion support means 201 can calculate an optimal solution corresponding to the parameter data. Formulas based on this formulation result data are formulas for objective functions and constraint conditions for calculating an optimal solution.

  In the embodiment of the present invention, as a problem to be solved, for example, a case where a countermeasure plan to be taken for a personal information leakage problem in a certain local government is considered will be described. With regard to a plurality of countermeasures for the personal information leakage problem, a case will be described in which the consensus building support apparatus 1 supports social consensus formation regarding an optimal combination that minimizes the total cost in the embodiment of the present invention. Here, before the discussion starts, the cause of the personal information leakage problem in the local government and the illegal method are analyzed in advance. For example, the personal information export route and the export method are clarified. As a result, it is considered that information leakage by an internal crime and information leakage by an external crime occur as personal information export routes. In addition, the occurrence of information leaks by internal criminals is classified into those caused by employees who enter a quarantine area that handles personal information and those caused by employees who do not enter the quarantine area.

  In addition, candidates for countermeasures for the personal information leakage problem are also considered. Countermeasures include external email monitoring, firewall installation, intrusion detection system, personal information server vulnerability management, storage management to external media in quarantine area, entry / exit management system in quarantine area For example, introduction and inspection of belongings in the quarantine area.

  In the embodiment of the present invention, the consensus building support apparatus 1 supports social consensus building for an optimum combination of countermeasure plans among these countermeasure plans. Here, an index for evaluating the combination of each countermeasure plan is required.

  In the embodiment of the present invention, the total cost is minimized as the objective function. This total cost is calculated by the probability of occurrence of personal information leakage × the amount of damage + the countermeasure cost. In addition, as a constraint condition, an item of interest for each participant can be considered. In the embodiment of the present invention, it is listed as a constraint condition that local government executives, residents, and staff are interested. The cost of countermeasures can be considered as a constraint that local government executives are interested in. As a constraint condition that residents are interested in, personal information leakage probability can be considered. The degree of privacy burden and convenience burden can be considered as the constraints that the staff is interested in.

  In the embodiment of the present invention, parameters given by the facilitator, each opinion reader, and the like are coefficients in the objective function, constraint equation, and limit values of the constraint conditions. In the personal information leakage problem of the local government, the limit value of the constraint condition is the maximum value of each of the countermeasure cost, the personal information leakage probability, the privacy burden level, and the convenience burden level that are the constraint conditions. Further, the facilitator, each opinion leader, etc. may add a new countermeasure plan as a parameter. When a new countermeasure plan is added, parameters related to the countermeasure plan are also input.

  The facilitator and each opinion leader give parameters according to their opinions, and the consensus building support apparatus 1 calculates an optimal combination of countermeasure plans based on the constraint conditions reflecting each opinion. Furthermore, by providing the parameter adjusted based on the opinion of the general participant, the consensus building support apparatus 1 can output the countermeasure plan that has reached the social agreement between the opinion leader and the general participant.

  With reference to FIG. 2 thru | or FIG. 4, the method of the social consensus formation which concerns on embodiment of this invention is demonstrated. In the description of FIGS. 2 to 4, arrows indicate data transmission / reception. For example, the data input from the input device of the facilitator terminal 2 is transmitted to the consensus building support device 1, or the screen data generated by the consensus building support device 1 is transmitted to the facilitator terminal 2 to display the facilitator terminal 2. It is displayed on the device. The solid line rectangle of the consensus building support apparatus 1 indicates the processing of the computer in the consensus building support apparatus 1. The dotted rectangle indicates the action of the opinion leader itself. Further, the process of the consensus building support apparatus 1 is classified and described as the process of the studio discussion support means 201, the process of the general participant support means 202, and the process of the director support means 207.

  First, in step S <b> 1, initial parameters input by the facilitator are input from the facilitator terminal 2 to the consensus building support apparatus 1. In step S2, the studio discussion support means 201 calculates an initial solution based on the input initial parameters. Here, the consensus building support apparatus 1 stores in advance formulation result data 152 that is formulated as a combination optimization problem. The studio discussion support means 201 calculates an optimal combination of countermeasure plans based on the initial parameter data and the formulation result data 152 input from the facilitator terminal 2. The optimum combination of the countermeasure proposals calculated here is referred to as an initial solution.

  In step S3, the studio discussion support means 201 displays the initial solution calculated in step S2. The studio discussion support means 201 displays the initial solution on a display device at the discussion venue such as the facilitator terminal 2, the opinion leader terminal 3, the director terminal 4, the subject problem expert terminal 9, and the display monitor 11.

  The opinion reader refers to the initial solution displayed on the display device of the opinion reader terminal 3 and inputs a unique parameter corresponding to a unique opinion to the opinion reader terminal 3. When the parameter data based on the opinions of each of the plurality of opinion leaders is input, the studio discussion support means 201 calculates the optimum solution data of each opinion leader from the parameter data and stores it in the storage device 100. Specifically, the unique parameter input by the opinion leader is input from the opinion leader terminal 3 to the consensus building support apparatus 1 in step S4. In step S5, the studio discussion support means 201 calculates an optimum solution for each opinion leader based on the input unique parameter. Here, the studio discussion support means 201 calculates the optimum solution of each opinion leader based on the pre-stored formulation result data 152 and the unique parameter data input by each opinion leader. Since each opinion leader inputs unique parameter data, when there are five opinion leaders, five optimum solutions are calculated in step S5.

  Next, the general participant support means 202 reads out the optimum solution data of the opinion leader from the storage device 100, and displays the optimum solution data of each opinion leader and a voting screen that allows the general participant to select an opinion leader to support. Displayed on the person terminal 8. Further, the general participant support means 202 obtains the identifier of the opinion leader selected by the general participant from the general participant terminal 8 as opinion data of the general participant, and stores the opinion analysis data obtained by collecting the opinion data. Store in device 100.

  Specifically, in step S6, the studio discussion support means 201 and the general participant support means 202 display the optimum solution of each opinion leader calculated in step S5. The studio discussion support means 201 displays the optimum solution of each opinion leader on a display device at the discussion venue such as the facilitator terminal 2, the opinion leader terminal 3, and the display monitor 11. The general participant support means 202 displays the optimum solution of each opinion leader on the general participant terminal 8. Further, the optimum solution of each opinion leader is also displayed on the director terminal 4 and the target problem expert terminal 9.

  On the other hand, in step S7, the opinion leaders appeal their own opinions to general participants and other opinion leaders. The appeal state is distributed to the general participant terminal 8 as moving image data, and the general participant determines which opinion leader agrees with the opinion by referring to the moving image data. In addition, after hearing the opinions of other opinion leaders, the original parameters set in step S4 may be corrected and input. In this case, the studio discussion support means 201 calculates the optimum solution again with the corrected parameters.

  Here, the consensus building support apparatus 1 displays, on the general participant terminal 8, a voting screen indicating which of the opinion leaders' optimum solutions among the optimum solutions of each opinion leader is supported. The general participant selects one of the optimum solutions of each opinion leader displayed on the voting screen. In step S <b> 8, the general participant terminal 8 transmits information on the identifier of the optimal solution selected by the general participant to the consensus building support apparatus 1. In step S8, the general participant support means 202 may cause the general participant to input an opinion in a text box as an opinion based on the heuristic route.

  In step S9, the director support means 207 analyzes the opinion input to the text box while analyzing the vote result received in step S8 as the opinion of the general participant. In step S10, the general participant support means 202 and the studio discussion support means 201 display the vote results. The director support means 207 may display the analysis result on a predetermined opinion reader or facilitator.

  In step S10, when the optimum solution of the opinion leader and the aggregation result of the opinion leader instructed by the general participant are displayed, the optimum solution to be discussed is selected. When the identifier of the optimum solution data to be discussed among the optimum solution data of each opinion leader is inputted, the studio discussion support means 201 sends the optimum solution data of the inputted identifier to the facilitator terminal 2 and the opinion leader terminal 3. And displayed on a display device such as the display monitor 11. The general participant support means 202 also displays the optimum solution data of the input identifier on the display device of the general participant terminal 8. In addition, the optimal solution data of the input identifier is also displayed on the director terminal 4 and the target problem expert terminal 9.

  Here, in step S11 in FIG. 3, the facilitator inputs the identifier of the optimum plan to be discussed. Further, the optimal solution to be discussed may be, for example, the optimal solution of the opinion leader selected by the most general participants or may be different. In this case, the consensus building support apparatus 1 compares the numbers that support the optimum solutions of each opinion leader based on the total result of the opinions of the general participants in step S9, and optimizes the opinion leader that has collected the most votes. Get a draft. In step S <b> 12, the consensus building support apparatus 1 determines the optimum solution to be discussed as the display device of the facilitator terminal 2, opinion reader terminal 3, director terminal 4, general participant terminal 8, target problem expert terminal 9, and display monitor 11. To display.

  After step S12, the consensus building support apparatus 1 displays the state of the discussion at the discussion venue on the general participant terminal 8, and causes the general participant terminal 8 to input the opinion of the general participant. Here, the general participant support means 202 further displays an opinion input screen on the general participant terminal 8 for allowing the general participant to input opinion data for the optimum solution data to be discussed, and from the general participant terminal 8. The message content data is acquired and stored in the storage device 107. Further, the studio discussion support means 201 further reads the speech data 102 including the content data of the speech from the storage device 107, and the facilitator terminal 2, the opinion leader terminal 3, the director terminal 4, the general participant terminal 8, the subject problem expert. The information is displayed on a display device such as the terminal 9 and the display monitor 11.

  Specifically, the general participant inputs an opinion about the optimal solution to be discussed displayed in step S <b> 12 to the general participant terminal 8. In step S <b> 13, the general participant terminal 8 inputs the information to the consensus building support apparatus 1. In step S14, the director support means 207 analyzes the opinion of the general participant input in step S13 according to the director's instruction. In step S15, the consensus building support apparatus 1 displays the opinion of the general participant analyzed in step S14 on each display device.

  For example, the director terminal 4 outputs the analysis result of the opinion input by the general participant to a predetermined terminal. As a result, facilitators, opinion leaders, directors, etc. can proceed with discussions while taking into consideration the opinions of general participants. In addition, the subject matter expert can refer to the opinions of general participants and, if necessary, can send a message to promote understanding of the subject matter. As described above, the consensus building support apparatus 1 can support so that consensus can be formed between a person who attends a discussion at such a discussion venue and a person who views the state of the discussion. In addition, the director can analyze the opinions of the heuristic route as appropriate, digitize them, and output them, allowing the discussion to proceed while objectively judging the content of the discussion.

  In step S16, the opinion leaders at the discussion venue further discuss the optimum solution to be discussed while referring to the opinions of the general participants displayed in step S15 and the analysis results displayed by the director. As a result, when the optimum solution to be discussed needs to be corrected, the facilitator inputs a correction parameter obtained by correcting the parameter that is the basis of the optimum solution to be discussed to the facilitator terminal 2. In step S <b> 17, the facilitator terminal 2 inputs the input correction parameter to the consensus building support apparatus 1. In step S18, the studio discussion support means 201 calculates a corrected optimum solution based on the correction parameter input in step S17. Furthermore, in step S19, the consensus building support apparatus 1 displays the corrected optimum solution calculated in step S18 on each display device.

  The processes in steps S13 to S19 are repeated until an agreement is formed between the plurality of opinion leaders and the general participant. Here, consensus building means that a plurality of opinion leaders and a large number of general participants agree with the presently proposed optimal correction plan. Further, when a conclusion is made within a predetermined time, such as a television program, it may be considered that an agreement has been formed when the time has arrived.

  When an instruction to use the corrected optimum solution data as an agreed solution is input, the general participant support means 202 displays a new voting screen for inputting whether or not to support the agreed solution on the general participant terminal 8. . The general participant support means 202 acquires opinion data indicating whether or not to support the agreed solution from the general participant terminal 8. The director support means 207 stores the analysis result data 104 obtained by collecting the opinion data in the storage device 107 and displays the analysis result data 104 on the general participant terminal 8. Similarly, the studio discussion support means 201 displays the analysis result data 104 on a display device such as the facilitator terminal 2, the opinion reader terminal 3, and the display monitor 11. The analysis result data 104 is also displayed on the display devices of the director terminal 4 and the target problem expert terminal 9.

  In step S21, the consensus building support apparatus 1 displays the latest optimum solution, which was the object of discussion at that time, on each display device as the consensus solution. This latest optimal solution is a corrected solution that has been corrected through discussion from the optimal solution that has been discussed.

  Here, the consensus building support apparatus 1 displays a voting screen as to whether or not to agree with the consensus solution on the general participant terminal 8. The general participant selects whether to agree with the agreed solution displayed on the voting screen. In step S <b> 22, the general participant terminal 8 transmits information on the options selected by the general participant to the consensus building support apparatus 1. In step S23, the general participant support means 202 analyzes the voting result received in step S22 as the general participant's opinion. In step S24, the studio discussion support means 201 and the general participant support means 202 display the result of step S23.

  During the processing shown in FIGS. 2 to 4, a screen suitable for the user of each terminal is displayed on each terminal. For example, the general participant terminal 8 displays the general participant display screen P101 or P102 shown in FIG. On the opinion reader terminal 3 and the facilitator terminal 2, an opinion reader / facilitator display screen P103 shown in FIG. 9 is displayed. On the director terminal 4, a director display screen P104 shown in FIG. The target problem expert terminal 9 displays a target problem expert display screen P105 shown in FIG.

  With reference to FIG. 5, a general participant display screen P <b> 101 displayed on the general participant terminal 8 by the general participant support unit 202 will be described.

  The general participant display screen P101 includes a discussion venue display unit P101a, an optimal solution display unit P101b, a vote display unit P101c, a speech input unit P101d, and a speech display unit P101e. The discussion hall display unit P201a displays a moving image distributed as a live broadcast, while facilitators, opinion leaders, and the like are discussing. In the optimum solution display part P101b, the optimum solution of each opinion leader calculated in step S5 is displayed. The voting result analyzed in step S9 is displayed on the voting display portion P101c. In the voting display portion P101c, the number of general participants who support each of the opinion leaders A to E is displayed as a pie chart. The comment input unit P101d is for inputting an opinion based on the systematic route.

  A text box is prepared in the comment input unit P101d, and the general participant can freely write an opinion in this text box. In addition, the comment input unit P101 is provided with a combo box for selecting who or what the opinion is for, and further selecting a statement document. As shown in FIG. 6A, in the combo box for selecting “who or what” is an opinion, the opinion target such as the name of the opinion leader, a countermeasure plan, an optimal solution, etc. is described as a speech target. ing. In the combo box for selecting “type of speech”, approval, disagreement, question, new opinion, etc. are described as the type of speech. The general participant selects from these combo boxes and selects who or what the input opinion is as shown in FIG. 6 (b) and whether or not he / she agrees. In the example shown in FIG. 6B, the objection to opinion reader A is entered in the text box.

  The utterance target and the kind of utterance selected in these combo boxes are transmitted to the consensus building support apparatus 1 together with the utterances described in the text box. The utterance object and the kind of utterance transmitted together with the utterance are referred to when the utterance is analyzed in the consensus building support apparatus 1 or the like.

  In the message display part P101e, messages input from general participants, opinion readers, and the like are displayed. Each utterance is associated with the utterance target and the type of utterance. These utterance targets and utterance types are determined based on the input of the opinion input person as described with reference to FIG. In addition, the comment display part P101e is provided with a combo box for selecting “who or what” is an opinion and a combo box for selecting “type of comment”. When the user selects a speech target and a speech type from these combo boxes, only opinion data corresponding to the selected speech target and type can be filtered. For example, when the opinion “in favor of opinion leader A” is selected, only the opinion “in favor of opinion leader A” is filtered out of the comments displayed in the comment display part P101e of FIG. 5 as shown in FIG. Displayed.

  Here, when the subject problem expert sends some message, the general participant terminal 8 displays the general participant terminal display screen P102 shown in FIG. The general participant display screen P102 shown in FIG. 8 differs from the general participant display screen P101 described with reference to FIG. 5 in that it does not include the optimal solution display unit P101b but includes the expert message display unit P102b. . The message input by the target problem expert to the target problem expert terminal 9 is displayed on the expert message display part P102b. This message is a message entered by the subject matter expert to promote the understanding of general participants regarding the subject matter to be discussed.

  With reference to FIG. 9, the opinion leader / facilitator display screen P103 displayed on the facilitator terminal 2 and the opinion reader terminal 3 by the studio discussion support means 201 will be described. The opinion leader / facilitator display screen P103 is different from the general participant display screen P101 shown in FIG. 5 in that a director comment display portion P103f is provided. When a comment is input from the director to the facilitator or opinion leader, the director comment display unit P103f displays the comment. As a result, the director can convey the comment only to the target facilitator or opinion leader.

  When the opinion analysis result of the general participant is output from the director, the optimum solution display unit P103b and the vote display unit P103c are deleted, and a screen (not shown) including the opinion analysis result display unit is displayed.

  With reference to FIG. 10, the director display screen P104 that the director support means 207 displays on the director terminal 4 will be described. The director display screen P104 is different from the general participant display screen P101 shown in FIG. 5 in that an analysis display unit P104b is provided. The analysis display unit P104b designates an analysis method for analyzing the opinion of the general participant terminal 8, and designates an output destination of the analysis result. For example, as shown in FIG. 10, the director designates an analysis method and an output destination with check boxes. When the analysis result is not output to another terminal, the director can confirm the analysis result by clicking the analysis result tab of the analysis display unit P104b.

  In the director display screen P104 shown in FIG. 10, a phase switching button is provided in the opinion input unit P104d. When the director presses this phase switching button, the consensus building support apparatus 1 records the time as will be described later. The recorded phase time information is referred to in opinion data analysis such as time series analysis, as will be described later. In addition, a comment can be input by designating a predetermined opinion reader or facilitator in the opinion input unit P104d. As a result, the director can transmit a comment only to a predetermined opinion leader or facilitator as described in the director comment display part P103f of FIG.

  With reference to FIG. 11, the target problem expert display means P105 which the target problem expert support means 210 displays on the target problem expert terminal 9 is demonstrated. Of the information displayed on the target problem expert display screen P105, the discussion venue display section P105a and the opinion display section P105a are the same as the discussion venue display section P101a and the opinion display section P101a of the general participant display screen P101 shown in FIG. It is.

  Opinion input part P105c inputs the message which a subject problem expert transmits to a general participant. The opinion input unit P105c is provided with a reference URL input field, and the target problem expert can input a URL related to the explanation of the target problem. The web page input in the reference URL input field is previewed on the reference HP review part P105f. In the provided information candidate list P105d, a summary of web pages searched by the target problem expert support means 210 for keywords included in the discussion content is displayed in a list. By displaying the contents of the web page related to the discussion, the target problem expert support means 210 can support the message input of the target problem expert by displaying the related information. In the analysis result display portion P105e, the analysis result output from the director terminal 4 is displayed.

  The consensus building support apparatus 1 according to the embodiment of the present invention relates to management of comments input from participants such as general participants, opinion leaders, facilitators, and directors. The consensus building support apparatus 1 records the speech input from the participant and provides it to other participants. At this time, the consensus building support apparatus 1 stores the remarks received from each participant in the storage device of the consensus formation support apparatus 1, reads out the remarks from this storage apparatus, and provides them to other participants. As another method, the utterance received from each participant is stored in the storage device of the consensus building support apparatus 1, and the utterance is read from the storage device and provided to other participants.

  Another method is to use the microblog providing device 7. In this method, the consensus building support apparatus 1 uploads comment data to the microblog providing apparatus 7 when a comment is input from a participant. Further, the consensus building support apparatus 1 downloads a comment from the microblog providing apparatus 7, analyzes the opinion, and displays it on a predetermined terminal.

  With reference to FIG. 12, the flow of the processing of a statement when using the microblog providing device 7 will be described. The consensus building support apparatus 1 displays a screen on a participant's terminal such as the general participant terminal 8 in (1). The screen displayed here is the screen described with reference to FIGS. Here, a case where a general participant inputs a speech will be described, but the same applies when an opinion leader, a facilitator, a director, or the like inputs a speech.

  When the general participant terminal display screen P101 shown in FIG. 5 is displayed on the general participant terminal 8, the general participant inputs the opinion of the general participant himself / herself in the text box of the comment input unit P101d in (2). . When the general participant presses the transmission button in (3), the general participant terminal 8 transmits the input speech data to the agreement formation support apparatus 1. At this time, the identifier of the speech target and the speech type are also transmitted to the consensus building support apparatus 1 together with the speech data.

  When an opinion is transmitted from the general participant terminal 8, the consensus building support apparatus 1 generates data to be uploaded from the input opinion in (4). Specifically, the consensus building support apparatus 1 converts an identifier of an utterance and an utterance type included in the opinion into tags with reference to tag correspondence table data 1021 to be described later, and the participant name is the microblog providing apparatus 7. The message data is uploaded to the microblog providing device 7. Here, the participant in the consensus building support system 10 according to the embodiment of the present invention declares the ID in the microblog providing device 7 in advance. Accordingly, the consensus building support apparatus 1 includes a table in which each participant's name is associated with an ID in the microblog providing apparatus 7.

  Further, the agreement formation support apparatus 1 inserts a tag indicating that it is a statement used by the agreement formation support system 10 according to the embodiment of the present invention in the body of the statement. For example, the consensus building support apparatus 1 inserts a hash tag “#smrc” at the end of the message input by the participant. The agreement formation support apparatus 1 can acquire only the statements related to the agreement formation support system 10 according to the embodiment of the present invention by extracting the comments including “#smrc” from the microblog providing apparatus 7. it can. Here, when the number of characters in the body of the utterance after inserting a tag indicating that it is a utterance used by the consensus building support system 10 exceeds a predetermined number of characters, in (5), the body of the utterance is divided and microblogging is performed. Upload to the providing device 7. As a method of dividing, a method of dividing by a predetermined number of characters, a method of dividing by a punctuation mark or a reading point within a range not exceeding the predetermined number of characters, and the like can be considered.

  In step (6), the consensus building support apparatus 1 uploads the comment data generated in this way to the microblog providing apparatus 7. The utterance uploaded to the microblog providing device 7 is displayed in the same manner as the utterance input to the normal microblog providing device 7. Therefore, participants other than the participants of the consensus building support system 10 according to the embodiment of the present invention can also refer to the comments uploaded from the consensus building support apparatus 1.

  When the consensus building support apparatus 1 displays a comment to a participant, analyzes it, or counts it, the comment is downloaded from the microblog providing apparatus 7 in (7). At this time, the agreement formation support apparatus 1 can download only the remarks uploaded by the agreement formation support apparatus 1 by designating “#smrc” as a search keyword. Furthermore, by designating a tag corresponding to the identifier to be spoken and a tag corresponding to the speech type, it is possible to obtain only the speech that meets these conditions. The remarks downloaded in this way are stored in the storage device of the consensus building support apparatus 1 in (8). Furthermore, as shown in (9), a screen for displaying a message is displayed on the participant's terminal such as the director terminal 4.

  When analyzing this statement, an analysis condition is input from the director terminal 4 in (10). The analysis conditions include an analysis method, an analysis period, an analysis target, and the like. When the analysis condition is input from the director terminal 4, the consensus building support apparatus 1 analyzes the opinion stored in (8) in (11) with the search condition specified in (10). The consensus building support apparatus 1 displays the analyzed result on the director terminal 4 in (12).

(Consensus building support device)
The consensus formation support apparatus 1 according to the embodiment of the present invention supports consensus formation between a discussion by a plurality of opinion leaders and opinions of general participants on the discussion. As shown in FIG. 13, the consensus building support apparatus 1 is a general computer including a storage device 100, a central processing control device 200, an input device 310, a display device 320, and a communication control device 330. The consensus building support apparatus 1 is realized by installing and executing a consensus building support program on a general computer. The consensus building support apparatus 1 is connected to a display monitor 11 viewed by an opinion leader and a general participant terminal 3 viewed by a general participant.

  The input device 310 is a mouse, a keyboard, or the like, and gives an operator instruction to the consensus building support device 1. The display device 320 displays the output content of the consensus building support device 1 and makes the operator recognize it. The communication control device 330 is an interface for communicating with other devices via the communication network 5a.

  The storage device 100 stores a consensus building support program, and stores studio discussion support data 101, speech data 102, phase correspondence data 103, analysis result data 104, target problem expert support data 105, and studio video data 106. Is done. These data are data that are output and read by each processing means implemented in the central processing control device 200.

  When the consensus building support program is executed, the central processing control device 200 performs studio discussion support means 201, general participant support means 202, speech management means 203, director support means 207, target problem expert support means 210, and studio. Video control means 211 is provided.

  Studio discussion support means 201 supports discussions at discussion venues such as facilitators and opinion leaders. The studio discussion support means 201 refers to the studio discussion support data 101 and outputs it.

  Referring to FIG. 14, studio discussion support means 201 and studio discussion support data 101 according to the embodiment of the present invention will be described.

  The studio discussion support data 101 includes parameter data, formulation result data 152, and optimum solution data 153.

  The parameter data 151 is data for calculating an optimum solution calculated by the consensus building support apparatus 1 according to the embodiment of the present invention. As will be described with reference to FIGS. 2 to 4, in the embodiment of the present invention, various parameter data are input to the consensus building support apparatus 1 according to the progress of the discussion. Here, the parameter data 151 is qualitative data or quantitative data. The parameter data 151 may be given as a numerical value of one point or may be given in the form of distribution. As will be described with reference to FIGS. 2 to 4, in the embodiment of the present invention, various parameter data are input to the consensus building support apparatus 1 according to the progress of the discussion. Specifically, the initial parameters input in step S1 in FIG. 2, the unique parameters input in step S4, and the correction parameters input in step S17 in FIG. Each of these parameters is stored in the storage device 100 as parameter data 21.

  The formulation result data 152 is data of a calculation formula used for calculating an optimal solution. When the parameter data 151 is input to a calculation formula based on the formulation result data 152, an optimal solution is calculated. The formulation result data 152 is calculated and stored in advance.

  The optimum solution data 153 is data of the optimum solution calculated from the parameter data 151 and the formulation result data 152. In the embodiment of the present invention, the consensus building support apparatus 1 calculates various optimum solution data according to the progress of the discussion. Specifically, the initial solution calculated in step S2 of FIG. 2, the optimum solution of each opinion leader calculated in step S5, and the corrected optimal solution calculated in step S18 of FIG. Each of these optimum solutions is stored in the storage device 100 as optimum solution data 23.

  The parameter acquisition unit 251 is a unit that acquires a parameter for outputting a solution. The parameter acquisition unit 251 stores the acquired parameter data 151 in the storage device 100.

  The optimization unit 252 reads the parameter data 151 and the formulation result data 152 from the storage device 100, calculates optimization, and generates optimal solution data 153. Further, the optimization unit 252 stores the optimal solution data 153 in the storage device 100.

  The display screen generation unit 253 generates screen data that is browsed by an opinion reader, a facilitator, or the like. The display screen generation unit 253 generates a display screen to be displayed on the facilitator terminal 2, the opinion reader terminal 3, the display monitor 11, and the like, and outputs the display screen to each terminal. The screen generated by the display screen generating means 253 is an opinion reader / facilitator display screen P103 shown in FIG.

  When generating each screen, the display screen generating unit 253 reads each data stored in the storage device 100 and generates a screen to be displayed on the opinion leader or facilitator at the discussion venue.

  The speech management means 203 shown in FIG. 13 manages speech input from participants such as general participants, opinion leaders, facilitators, and directors. For example, the speech management unit 203 stores the speech content data 102 a input from the participant in the storage device 100. Further, the speech management unit 203 processes the speech content data 102 a to generate the speech data 102. The utterance data 102 is a set of data as shown in FIG.

  The utterance data 102 includes a plurality of utterance content data 102a, data for managing the utterance content data 102a, data obtained as a result of analyzing the utterance content data 102a, and the like. The speech content data 102a includes the speech ID, creation time, speaker's ID (from), and when the speech is a reply of another speech, the other speaker's ID (to), and other speech IDs ( fromID) and the text of the message.

  Examples of data for managing the message content data 102a include user data, message selection management data, and tag data. In this user data, the ID in the microblog providing device 7, the name of the user, and the authority of the user in the consensus building support system 10 are associated with each other. The authority of this user in the consensus building support system 10 includes an opinion leader A, an opinion leader B, a facilitator, a director, a subject problem expert, and the like. The utterance selection management data indicates that the utterance target tag indicating the utterance to “who / what” and the utterance type tag such as approval and disapproval assigned to each utterance are included.

  The tag data is data in which a tag used in the microblog providing device 7 is associated with the meaning of the tag. The tag data includes tags such as a speech target, a speech type, and phase switching, and the meaning of each tag is associated with the tag correspondence table data 1021.

  The tag correspondence table data 1021 includes data as shown in FIG. The tag correspondence table data 1021a shown in FIG. 16A includes a tag related to a speech target, a tag related to a speech type, and a tag related to phase switching. As a tag related to a speech target, a target that a participant speaks, such as opinion leader A, countermeasure plan A, and optimal solution A, is associated with a tag that identifies the target. As a tag related to a speech type, a speech type such as approval, disagreement, question, new opinion, overlooked viewpoint, fact presentation, and the like and a tag for specifying the speech type are associated with each other. For example, when uploading a comment in favor of opinion leader A to the microblog providing device 7, the consensus building support device 1 inserts “#ol_a #pros #smrc” at the end of the speech input by the participant, It transmits to the microblog providing device 7. Here, “#smrc” is a tag indicating that it is message content data used in the consensus building support system 10 according to the embodiment of the present invention.

  The tag related to phase switching includes a tag indicating that the timing is when the phase is switched before and after the statement. Here, the tag relating to phase switching is used when the director presses a phase switching button shown in FIG. 10 and the message content data is transmitted to the agreement formation support apparatus 1. The tag relating to the phase switching is referred to when the phase correspondence data 103 is generated.

  In the tag correspondence table data 1021a shown in FIG. 16 (a), the meaning of the tag can be understood by looking at the tag. Therefore, a user who refers only to the microblog providing device 7 can also The speech type can be grasped.

  The consensus building support apparatus 1 may use the tag correspondence table data 1021b shown in FIG. 16B instead of the tag correspondence table data 1021a shown in FIG. The tag correspondence table data 1021b shown in FIG. 16B has a shorter tag length than the tag correspondence table data 1021a shown in FIG. For example, when uploading a comment in favor of the opinion leader A to the microblog providing device 7, the consensus building support device 1 inserts “# a1_ # f1_ # smrc” at the end of the comment input by the participant, It transmits to the microblog providing device 7. Thereby, when the number of characters is limited in the message body in the microblog providing device 7, the number of characters in the content of the participant's own message is hardly limited by the tag. Further, although the meaning of the tag itself is unknown, by referring to the tag correspondence table data 1021b shown in FIG. 16B, the consensus building support apparatus 1 considers the meaning of the tag and participates in the content data of the statement. Can be displayed on the user's terminal or analyzed.

  Further, tag correspondence table data shown in FIG. 16C may be used. In the tag correspondence table data 1021c, a code, not a tag, is associated with a speech object or a speech type. The consensus building support apparatus 1 creates a tag connecting these codes and uploads the tag to the microblog providing apparatus. For example, when uploading a comment in favor of the opinion leader A, the consensus building support apparatus 1 inserts “# smrc00_” at the end of the comment input by the participant and transmits it to the microblog providing apparatus 7. According to such a method, it is more difficult to limit the number of characters in the utterance content than in the case of FIG. As in FIG. 16B, the meaning of the tag itself is unknown, but by referring to the tag correspondence table data 1021c shown in FIG. 16C, the consensus building support apparatus 1 determines the meaning of the tag. In consideration, the speech content data can be displayed on the participant's terminal or analyzed.

  As shown in FIG. 15, the utterance data 102 includes utterance tree structure management data, opinion aggregation management data, response data to utterances, and keyword time-series analysis data as data obtained as a result of analyzing the utterance content data 102a.

  The utterance tree structure management data includes data related to the utterance tree structure of each utterance. The utterance tree structure management data includes, for example, a correspondence table of utterance IDs and the number of replies to the utterance, a correspondence table of utterance IDs and replies including descendants for the utterance, utterance IDs, and reply replies to the utterances Includes data such as a maximum depth mapping table. The number of replies to the utterance is the number of replies that have been directly replied to the predetermined utterance. The number of replies to the utterance with the utterance ID “A” is the number of utterances for which “A” is specified as the fromID. The number of replies including descendants for a utterance is defined as a predetermined utterance when a predetermined utterance is defined as the first hierarchy, a reply for the first hierarchy is defined as the second hierarchy, and a reply for the second hierarchy is defined as the third hierarchy. Is the total number of all statements from the first layer, the second layer, the third layer, and so on to the deepest layer. The maximum depth of reply to an utterance is the number of layers up to the deepest layer when a predetermined utterance is the first layer.

  Opinion aggregation management data is data in which each statement is aggregated. This opinion aggregation management data includes the body of the representative utterance, the number of utterances similar to the representative utterance, the number of utterances affirming and denying the utterance. The keyword time series analysis data is data of a keyword included in the analysis data and start time and end time when the time series analysis is performed.

  These message data 102 are read and created by the message management unit 203 and the director support unit 207.

  The message management unit 203 includes a message acquisition unit 204, a message upload unit 205, and a filtering unit 206.

  The speech acquisition means 204 displays a screen for allowing the participant's terminal to input a speech and to select the identifier and the speech type of the speech target. When the speech content data 102 a is received from the terminal, the speech acquisition unit 204 stores the speech content data 102 in the speech data 102. Here, in the storage device 100, utterance data including the utterance content data 102 a downloaded from the microblog providing device 7 and data related thereto may be stored in addition to the utterance data received from the participant terminal.

  The message upload unit 205 uploads the message content data 102 a received from the participant's terminal to the microblog providing device 7. At this time, the utterance uploading unit 205 converts the utterance target identifier and utterance type in the utterance content data into tags with reference to the tag correspondence table data 1021 described with reference to FIG. Upload.

  The filtering unit 206 displays the utterance data 102 on the participant's terminal, and extracts the utterance content data 102a including the selected utterance type or utterance type when the utterance target type or utterance type is selected. To display. For example, on the screen as shown in FIG. 5, when the type of speech target or the speech type is selected, the filtering unit 206 extracts only the content data of the speech that matches the selected condition as shown in FIG. To display. When the message content data 102 a is stored in the microblog providing device 7, the filtering unit 206 changes the selected condition to a tag, and uses the tag and the consensus building support system 10 from the microblog providing device 7. The comment content data including the indicated tag is extracted and displayed on the participant's terminal. For example, when the filtering unit 206 searches for a statement of approval for the opinion reader A, it refers to the tag correspondence table data 1021a shown in FIG. 16A and sends “#ol_a #pros #smrc” to the microblog providing device 7. Send. The microblog providing device 7 extracts message content data including “#ol_a #pros #smrc” and transmits it to the consensus building support device 1.

  Here, the speech management unit 203 may delete unnecessary speech and meaningless speech. For example, if the number of characters in the utterance content is too short, there is a possibility that the utterance is meaningless. Therefore, the utterance management unit 203 specifies the utterance to be deleted. In addition, even when a reply between specific participants continues, there is a possibility that it is a speech of an attack between individuals, so the speech management means 203 identifies the speech to be deleted. The utterance specified as the deletion target may be deleted by the utterance management means 203 or may be displayed on a terminal such as a director and deleted according to an instruction from the director.

  The director support means 207 displays a screen on the director terminal 4 as shown in FIG. 10 or displays information based on the director's operation on the director terminal 4. The director support unit 207 includes a phase switching unit 208 and a speech analysis unit 209.

  The phase switching unit 208 defines a phase at a timing designated by the director in order to divide and manage the progress of the discussion described with reference to FIGS. 2 to 5 into several phases. Specifically, when the director presses the phase switching button of the opinion input unit P104d on the director display screen P104 shown in FIG. 12, the phase switching unit 208 of the consensus building support apparatus 1 sets the time of the pressed timing to the phase corresponding data. 103. When a phase name is input in the text box, the phase switching unit 208 stores the input phase name in association with the time of the pressed timing in the phase corresponding data 103. As shown in FIG. 17, the phase correspondence data 103 is data in which a phase name is associated with a time at which the phase is started.

  The speech analysis unit 209 analyzes the speech data 102 based on the conditions input to the director. The speech analysis means 209 executes various predetermined analyzes such as speech aggregation, keyword time series analysis, identifier aggregation display, tree structure analysis, and the like, and outputs the results to the speech data 102. Output to analysis result data 104. At this time, it is preferable that the speech analysis unit 209 analyzes the speech data 102 by excluding meaningless speech.

  When the identifiers are aggregated and displayed, the message analysis unit 209 counts and displays message content data including the message identifier. The message analysis means 209 displays the screen shown in FIG. 18 on the director terminal 4. The director designates the time zone to be counted on the screen shown in FIG. 18, and presses the counting button. When this time zone is designated in units of phases, the speech analysis unit 209 processes the time zone corresponding to the phase designated from the phase correspondence data 103.

  When the message analysis unit 209 acquires the time zone to be counted, the message analysis unit 209 searches the message data 102 and totals each message content data for each message identifier and message type. Based on the result, the screen shown in FIG. 19 is displayed. The screen shown in FIG. 19 displays the result of counting for each message identifier and message type as a bar graph. According to the example shown in FIG. 19, the director can grasp that there are many opinions in favor of opinion leader B.

  When analyzing keywords in chronological order, the speech analysis means 209 acquires from the speech data 102 the keywords included in the speech of each speech content data 102a in association with the creation date, and counts and displays the keywords for each time. To do. Here, the utterance analysis unit 209 performs morphological analysis on the body of the utterance content data and extracts keywords characteristic of each utterance. Characteristic keywords are words other than particles or words other than commonly used words. The speech analysis means 209 counts and displays each time based on the extracted keywords. The message analysis means 209 displays the screen shown in FIG. The director designates the time zone to be analyzed on the screen shown in FIG. 20, and presses the analysis button. When the message analysis unit 209 acquires the time zone to be analyzed, the message analysis unit 209 searches the message data 102 and totals the keywords included in each message content data for each predetermined time unit. Based on the result, the screen shown in FIG. 21 is displayed. In FIG. 21, the extracted keywords are displayed in a graph in the order of the number of times each keyword is included in the designated time zone. By displaying such analysis results while changing the designated time, the director can objectively grasp the tendency of the content of the participants' statements.

  When analyzing the utterance tree structure, the utterance analysis means 209 grasps replies of various utterances included in the utterance data 102 in a tree structure as shown in FIG. The speech analysis unit 209 calculates the number of replies to the utterance, the number of replies including descendants to the utterance, and the maximum depth of replies to the speech. In the example shown in FIG. 22, the number of replies to the utterance is 2, since User01 and User15 have replies to the utterance of User03. The number of replies including descendants for the utterance is the sum of the replies when User01 and User15 replies to the utterance of User03, and further replies are added to these replies. In the example shown in FIG. 22, the maximum reply depth is the number of replies because the reply of User01 is made in series with User04,... User01.

  By understanding the tree structure of utterances in this way, each utterance can be grasped objectively. For example, when the maximum depth of speech is deep, deep opinions may be exchanged. In addition, when there are many replies to a predetermined utterance, there is a possibility that the utterance has a great response. By grasping the utterances in a tree structure in this way, important utterances can be extracted. The speech analysis means 209 can also identify participants who are key persons in the exchange of speech.

  When collecting the statements, the statement analysis unit 209 acquires a keyword included in the statement of each statement content data from the statement data 102, and generates a plurality of groups including statement content data similar to the acquired keyword, The number of message content data included in each group and the predetermined message content data of each group are displayed in association with each other.

  The utterance analysis unit 209 performs morphological analysis on the body of each utterance content data and extracts keywords characteristic of each utterance. The speech analysis unit 209 groups similar speech content data based on the extracted keywords, creates a plurality of groups, and counts the number of speech content data included in each group. In addition, the speech analysis unit 209 extracts representative opinions from each group, and further counts the number of opinions to be affirmed and the number of opinions to be denied for this representative opinion.

  As a result, the statement analysis means 209 can output a screen as shown in FIG. The message analysis means 209 displays the typical messages obtained as a result of the aggregation in the left column of the screen shown in FIG. 23, and the number of messages similar to this message, the number of messages to be affirmed in the right column, Displays the number of statements to be denied. By collecting and displaying the comments in this way, it is possible to grasp the trend of a large number of comments and objectively determine the process of consensus building.

  The target problem expert support means 210 displays a screen on the target problem expert terminal 9 as shown in FIG. 11 or displays information based on the operation of the target expert in the target problem expert terminal 9. Specifically, when an opinion is input to the opinion input unit P105c, the target problem expert support means 210 searches the web based on a keyword included in the opinion and provides a URL and a title obtained as a result of the search. The information is displayed on the information candidate list display part P105d. When the target expert clicks one of the URLs included in the provided information candidate list display part P105d, the target problem expert support means 210 displays it on the reference HP preview screen P105.

  The studio video control unit 211 converts the video data obtained by photographing the opinion leader and the facilitator at the discussion venue into a computer-readable format to generate the studio video data 106 and stores it in the storage device 100. Remember. Further, the studio video control unit 211 acquires the studio video data 106 and uploads it to the video distribution device 6. The uploaded studio video data 106 is downloaded and reproduced by the general participant terminal 8 or the display monitor 11. The studio video data 106 is data obtained by converting video data obtained by photographing an opinion reader or a facilitator at a discussion venue into a computer-readable format.

  In FIG. 5, the screen on which a general participant inputs a speech or displays a speech has been described. However, a screen on which a reply to a predetermined speech is input and returned will be described with reference to FIG. 24. In FIG. 24A, a predetermined message in the first hierarchy is displayed. When the first layer message is selected by double clicking the mouse, the second layer reply message for the first layer message is displayed as shown in FIG.

  Here, as shown in FIG. 24C, when the right click of the mouse is pressed with respect to the utterance displayed at the upper part of the second hierarchy, a screen for inputting a reply to the utterance is displayed. When an utterance is input to this screen and the OK button is pressed, the utterance data is transmitted to the consensus building support apparatus 1 and stored in the utterance data 102.

  On the other hand, as shown in FIG. 24 (d), when an utterance displayed at the upper part of the second hierarchy is selected by a double click of the mouse or the like, an utterance in the third hierarchy for the utterance in the second hierarchy is displayed. . Here, the message input in FIG. 24C is also displayed.

  In this way, the participant can clarify which speech he / she views by inputting a reply to the predetermined speech while displaying the speech hierarchically.

  As described above, according to the consensus building support system 10 according to the embodiment of the present invention, it is possible to collect utterances using text information as opinions of many participants. Even if a huge amount of comments are transmitted in a short time, the opinion formation support apparatus 1 according to the embodiment of the present invention filters the comments, so that the opinion leader, facilitator, director, etc. Can be easily grasped. For example, the consensus building support apparatus 1 can filter a predetermined utterance by receiving the utterance object and the utterance type together with the utterance from the participant's terminal.

  This filtering function can be used to collect utterances for the opinion of the most indicated opinion leader. Specifically, when an identifier of the most designated opinion leader is designated as a speech target, only the opinion with respect to the opinion leader can be displayed. In this way, discussions can be deepened in consideration of the remarks of the majority.

  Further, the consensus building support apparatus 1 can analyze the utterance data according to the director's instruction. From the analysis result, each participant can grasp the trend of remarks. The analysis of the utterance data includes, for example, aggregation for each utterance target and each utterance type, aggregation of keywords of the utterance content, aggregation of utterances, analysis of the hierarchical structure of utterances, and the like. When an analysis target time such as a predetermined phase or the latest one hour is designated, the consensus building support apparatus 1 can analyze a statement at the designated time. Here, the consensus building support apparatus 1 may further specify search conditions such as a speech target, a speech type, and a keyword, and analyze the speech.

  For example, it is possible to specify an opinion in which many participants' comments are collected by collecting the comments. By taking up these opinions in the discussion, a meaningful discussion can be promoted.

  Also, by analyzing every hour and analyzing the hierarchical structure of comments, it is possible to grasp the timing and timing at which the tendency of participants' opinions has changed. Furthermore, meaningful discussions can be promoted by focusing on the subsequent opinions.

  Further, by combining these analyses, the consensus building support apparatus 1 can support the identification of the key person of the discussion. The consensus building support apparatus 1 is, for example, a participant who made a remark with a large number of direct replies, a participant who made a remark with a large number of replies including descendants, a participant who made a remark with a deep hierarchy, Participants who have made a remark with a large number of approval or disapproval buttons can be identified as key persons. The consensus building support apparatus 1 can proceed with discussion efficiently by focusing on the opinions and trends of key persons.

  Further, the consensus building support apparatus 1 can output objective discussion trends and directions by comparing these analysis results for each time.

  As described above, according to the consensus building support system 10 according to the embodiment of the present invention, by efficiently processing the opinions of a large number of participants, it is possible to accurately grasp a large number of opinions and thereby improve the effectiveness and efficiency of the discussion. It can improve and support social consensus building.

(Other embodiments)
As described above, the embodiments of the present invention have been described. However, it should not be understood that the descriptions and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art.

  For example, the consensus building support apparatus described in the embodiment of the present invention may be configured on one piece of hardware as shown in FIG. 13, or on a plurality of pieces of hardware according to the functions and the number of processes. It may be configured. Further, it may be realized on an existing system.

  It goes without saying that the present invention includes various embodiments not described herein. Therefore, the technical scope of the present invention is defined only by the invention specifying matters according to the scope of claims reasonable from the above description.

DESCRIPTION OF SYMBOLS 1 Consensus formation support apparatus 2 Facilitator terminal 3 Facilitator terminal 4 Director terminal 5 Communication network 6 Movie distribution apparatus 7 Microblog provision apparatus 8 General participant terminal 9 Target subject expert terminal 10 Consensus formation support system 11 Display monitor 100 Storage apparatus 101 Studio Discussion support data 102 Statement data 103 Phase correspondence data 104 Analysis result data 105 Target problem expert support data 106 Studio video data 151 Parameter data 152 Formulation result data 153 Optimal solution data 200 Central processing controller 201 Studio discussion support means 202 General participation Person support means 203 Statement management means 204 Statement acquisition means 205 Statement upload means 206 Filtering means 207 Director support means 208 Phase switching Stage 209 remarks analyzer 210 target problem expert assistance means 211 studio image control device 251 parameter acquiring unit 252 optimization means 253 display screen creating section 310 input device 320 display device 330 communication control unit

Claims (11)

A consensus building support apparatus that supports analysis of a participant's opinion in the consensus building between a discussion by a plurality of opinion leaders and an opinion of a general participant on the discussion on the target problem,
A storage device for storing utterance data including utterance content data including an utterance identifier and a utterance type;
A message acquisition means for storing a message in the message data when the message content data is received and a screen for selecting an identifier and a message type of the message object is displayed.
Filtering means for displaying the utterance data and extracting and displaying the utterance content data including the selected utterance target type or the utterance type when the utterance target type or the utterance type is selected. A consensus building support apparatus characterized by comprising. A keyword included in the utterance of each utterance content data is acquired from the utterance data, a plurality of groups including utterance content data similar to the acquired keyword is generated, and the number of the utterance content data included in each group 2. The consensus building support apparatus according to claim 1, further comprising speech analysis means for displaying the predetermined speech content data of each group in association with each other. The statement content data further includes the creation date of the statement,
The speech analysis means further includes
The agreement according to claim 2, wherein the keyword included in the utterance of each utterance content data is acquired from the utterance data in association with the creation date and time, and the keyword is counted and displayed every time. Formation support device. The speech analysis means further includes
4. The consensus building support apparatus according to claim 2, wherein the content data of the utterance including the utterance target identifier is counted and displayed. The message content data that is replied as a reply to the predetermined message includes a reply source identifier indicating the message content data of the reply source,
The speech analysis means further includes
Counting the number of reply content data for each speech content data of the speech data, displaying the speech content data with a large number of reply content data,
3. The message content data having a large number of message content data in which replies are counted is displayed by counting the number of message content data in which the response to each predetermined message content data of the message data is superimposed. 5. The consensus building support apparatus according to any one of items 4 to 4. A consensus building support program used for a consensus building support apparatus that supports analysis of a participant's opinion in the consensus building between a discussion by a plurality of opinion leaders and an opinion of a general participant on the discussion on the target problem,
Computer
A message acquisition means for displaying a screen for selecting a message target identifier and a message type and receiving message content data including the message target identifier and message type when the message content data including the message content data is received. When,
Filtering means for displaying the utterance data and extracting and displaying the utterance content data including the selected utterance target type or the utterance type when the utterance target type or the utterance type is selected. Consensus building support program to make it function. A keyword included in the utterance of each utterance content data is acquired from the utterance data, a plurality of groups including utterance content data similar to the acquired keyword is generated, and the number of the utterance content data included in each group 7. The consensus building support program according to claim 6, for further functioning a speech analysis means for displaying predetermined speech content data of each group in association with each other. The statement content data further includes the creation date of the statement,
The speech analysis means further includes
The agreement according to claim 7, wherein the keyword included in the utterance of each utterance content data is acquired from the utterance data in association with the creation date and time, and the keyword is counted and displayed every time. Formation support program. The speech analysis means further includes
The agreement formation support program according to any one of claims 7 and 8, wherein the content data of the message including the identifier of the message object is counted and displayed. The message content data that is replied as a reply to the predetermined message includes a reply source identifier indicating the message content data of the reply source,
The speech analysis means further includes
Counting the number of reply content data for each speech content data of the speech data, displaying the speech content data with a large number of reply content data,
8. The message content data having a large number of message content data in which replies are counted is displayed by counting the number of message content data in which replies to each predetermined message content data of the message data are superimposed. The consensus building support program according to any one of items 9 to 9. A consensus building support method that supports analysis of participants' opinions in the consensus building between a discussion by a plurality of opinion leaders and the opinions of general participants on the discussion,
Displaying a screen for inputting an utterance and selecting an identifier and an utterance type of the utterance target, and receiving utterance content data including the utterance target identifier and the utterance type; and storing the utterance data including the utterance content data;
Displaying the utterance data, and extracting and displaying the utterance content data including the selected utterance target type or the utterance type when the utterance target type or the utterance type is selected. A consensus building support method characterized by this.

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