Presentation Evaluation System

Abstract

To provide a system that can objectively evaluate a person who made a presentation (presenter).SOLUTION: A presentation evaluation system 1 including a portable terminal and a server connected to the Internet or an intranet includes: a voice analysis part 3 that analyzes contents of a conversation; a presentation material related information storage part 5 that stores information related to a presentation material; a keyword storage part 7 that stores information related to keywords in each page of the presentation material; a related term storage part 9 that stores a related term of each keyword; and an evaluation part 11 that evaluates the contents of the conversation analyzed by the voice analysis part 3 or a person who made the conversation. The presentation evaluation system 1 evaluates the contents of the conversation or the person who made the conversation on the basis of the number of keywords per page of the presentation material included in the content of the conversation analyzed by the voice analysis part 3, the number of related terms, and a combination of the keywords or a combination of the related terms.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a presentation evaluation system. [Background technology]

[0002] Japanese Patent Laid-Open Publication No. 2002-259635 describes a system that displays keywords from comments made by discussion participants in the course of a discussion by combining graphic objects and text.

[0003] Japanese Patent Publication No. 2017-224052 describes a presentation support device that uses a voice analysis terminal. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2002-259635 A [Patent Document 2] JP 2017-224052 A Summary of the Invention [Problem to be solved by the invention]

[0005] There is a need for a system that can objectively evaluate a person who has given a presentation (a presenter), categorize multiple presenters, and determine which page of a presentation that includes multiple pages is most effective for evaluating a presenter. One of the inventions described in this specification aims to solve any one of the above problems. [Means for solving the problem]

[0006] One of the inventions described in this specification is based on the discovery that through the number, combinations, and groupings of keywords and related terms, efficient pages can be easily found for evaluating presenters.

[0007] An invention relates to a presentation evaluation system 1. This presentation evaluation system 1 includes a voice analysis unit 3, a presentation material related information storage unit 5, a keyword storage unit 7, a related word storage unit 9, and an evaluation unit 11. The presentation evaluation system 1 is, for example, a computer-assisted system that evaluates the presentation of a presenter. The voice analysis unit 3 is an element for analyzing the contents of a conversation. The presentation material related information storage unit 5 is an element for storing information related to presentation materials. The keyword storage unit 7 is an element for storing information relating to keywords for each page of the presentation material. The related word storage unit 9 is an element for storing related words for each of the above keywords. The evaluation unit 11 is an element for evaluating the content of the conversation or the people who conducted the conversation analyzed by the voice analysis unit 3. The evaluation unit 11 evaluates the content of the conversation or the people who conducted the conversation based on the number of keywords, the number of related words, combinations of keywords, or combinations of related words per page of the presentation materials included in the content of the conversation analyzed by the voice analysis unit.

[0008] According to the above invention, the content of the conversation or the person who conducted the conversation can be evaluated based on the number or combination of keywords and related words. If the content of the conversation or the person who conducted the conversation is evaluated using only keywords, the evaluation will not be properly performed when related words having substantially the same meaning as the keywords are used. For this reason, by evaluating the content of the conversation or the person who conducted the conversation based on the number or combination of keywords and related words, the evaluation can be performed with higher accuracy. The evaluation unit 11 may obtain an evaluation value based on, for example, the number or combination of keywords and related words. Then, the content of the conversation or the person who conducted the conversation may be evaluated based on the obtained evaluation value. Note that a coefficient may be applied to the keywords and related words so that the evaluation value is higher when the keywords are used. Also, the evaluation value may be higher when a specific related word is used than when other related words are used.

[0009] Evaluating the content of a conversation or the person who conducted the conversation based on the number or combination of keywords or related words per page (especially the number or combination of related words) is a different invention from the above described in this specification.

[0010] A preferable example of the above presentation evaluation system 1 further includes a grouping unit 13. The grouping unit 13 is an element for grouping people who have had a conversation based on the number or combination of keywords and related words for each page of the presentation materials included in the content of the conversation analyzed by the voice analysis unit 3.

[0011] Since the present invention further comprises the grouping section 13, it is possible to effectively group the presenters based on, for example, the evaluation values.

[0012] A preferred embodiment of the presentation evaluation system 1 described above further includes a page extraction unit 15. The page extraction unit 15 is an element for extracting evaluation pages, which are pages of the presentation materials for evaluating the content of the conversation or the people who conducted the conversation, for the groups divided by the grouping unit 13, using the number or combination of keywords or related words for each page of the presentation materials.

[0013] This invention has a page extraction unit 15, so it can extract an evaluation page suitable for evaluating a presenter. This evaluation page may be one page of the presentation material, or two or more pages.

[0014] In a preferred embodiment of the presentation evaluation system 1, the keyword storage unit 7 further stores keyword appearance order information relating to the order in which keywords appear. In a preferred embodiment of the keyword storage unit 7, keyword combination order information relating to the order in which keywords are combined is further stored. The evaluation unit 11 then evaluates the content of the conversation or the people who conducted the conversation using information included in the content of the conversation analyzed by the voice analysis unit 3 and relating to the number or combination of keywords and related words on the evaluation page, and the keyword appearance order or combination order information on the evaluation page. In this case, for example, an evaluation value may be obtained using the information on the number or combination of keywords and related words on the evaluation page, and the keyword appearance order or combination order information on the evaluation page, and the evaluation value may be used to evaluate the content of the conversation or the people who conducted the conversation. The system 1 may evaluate the content of the conversation or the people who conducted the conversation using the number or combination of keywords and related words for each page of the presentation materials included in the content of the conversation analyzed by the voice analysis unit, or the order in which keywords appear or are combined for each page of the presentation materials.Furthermore, it may be possible to obtain an evaluation value even if a keyword or related word is not used on the evaluation page, but instead the user advances to a different page, and then returns to the evaluation page and uses the keyword or related word that should have been used.

[0015] A preferable presentation evaluation system 1 described above further comprises an evaluation keyword extraction unit 17, an unused evaluation keyword extraction unit 19, and an unused evaluation keyword output unit 21. The evaluation keyword extraction unit 17 is an element for extracting, as evaluation keywords, keywords used in relation to evaluation pages in the group having the greatest number of keywords, number of related words, number of keyword combinations, or number of related word combinations per page of the presentation materials among the groups divided by the grouping unit. The unused evaluation keyword extraction unit 19 is an element for extracting unused evaluation keywords. The unused evaluation keywords are keywords included in the content of the conversation analyzed by the voice analysis unit 3, and are not included in the terms included in the conversation on the evaluation page. The unused evaluation keyword output unit 21 is an element for outputting the unused evaluation keywords extracted by the unused evaluation keyword extraction unit 19 . Furthermore, the presenter's strengths and weaknesses may be indicated based on the number or combination of frequently or infrequently used keywords or related words throughout the presentation materials, and keywords or related words that should be used may be recommended. Effect of the Invention

[0016] The invention described in this specification makes it possible, for example, to objectively evaluate the person who gave the presentation (the presenter), to categorize multiple presenters, and to determine which page of a presentation containing multiple pages would be most effective to use to evaluate the presenter. [Brief description of the drawings]

[0017] [Figure 1] FIG. 1 is a block diagram for explaining the system of the present invention. [Diagram 2] FIG. 2 is a block diagram showing the basic configuration of a computer. [Diagram 3] FIG. 3 is a conceptual diagram showing an example of a system according to the present invention. [Figure 4] Figure 4 is a conceptual diagram to explain the order in which keywords were registered by top performers. [Diagram 5] FIG. 5 is a conceptual diagram for explaining the order in which keywords are registered by groups of students who are not top performers. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] Hereinafter, the embodiments for carrying out the present invention will be described with reference to the drawings. The present invention is not limited to the embodiments described below, and includes appropriate modifications of the embodiments described below within the scope obvious to those skilled in the art.

[0019] FIG. 1 is a block diagram for explaining the system of the present invention. An invention described in this specification relates to a presentation evaluation system 1. This system includes a computer, and each element described below is an element implemented by the computer. The computer may be any of various terminals, mobile terminals, notebook computers, personal computers, servers, and computer-server systems. In addition, this system may be implemented by a processor, or may be implemented by cooperation between various hardware and software such as a program.

[0020] 1, this presentation evaluation system 1 includes a voice analysis unit 3, a presentation material related information storage unit 5, a keyword storage unit 7, a related word storage unit 9, and an evaluation unit 11. This system further includes one or more elements of a grouping unit 13, a page extraction unit 15, an evaluation keyword extraction unit 17, an unused evaluation keyword extraction unit 19, and an unused evaluation keyword output unit 21.

[0021] FIG. 2 is a block diagram showing the basic configuration of a computer. As shown in this figure, the computer has an input unit 31, an output unit 33, a control unit 35, a calculation unit 37, and a storage unit 39, and each element is connected by a bus 41 or the like so as to be able to transmit and receive information. For example, the storage unit may store a control program or various information. When predetermined information is input from the input unit, the control unit reads out the control program stored in the storage unit. Then, the control unit appropriately reads out the information stored in the storage unit and transmits it to the calculation unit. Also, the control unit appropriately transmits the input information to the calculation unit. The calculation unit performs calculation processing using the various information received and stores it in the storage unit. The control unit reads out the calculation results stored in the storage unit and outputs them from the output unit. In this way, various processes are executed. Each element described below may correspond to any element of a computer. An example of the output unit is a monitor or a screen.

[0022] Fig. 3 is a conceptual diagram showing an example of a system of the present invention. As shown in Fig. 3, the system of the present invention (a system including the device of the present invention) may include a mobile terminal 45 connected to the Internet or an intranet 43, and a server 47 connected to the Internet or an intranet 43. Of course, a single computer or a mobile terminal may function as the device of the present invention, and multiple servers may exist.

[0023] Presentation Evaluation System 1 The presentation evaluation system 1 is, for example, a computer-assisted system, and is used to evaluate the content of a conversation or the person who conducted the conversation (for example, the presentation of a presenter). This system, for example, calculates an index called an evaluation value, and evaluates the content of the conversation or the person who conducted the conversation using the index. Examples of conversations are a conversation between an MR and a doctor, a conversation between a patient and a doctor, and a presentation. In other words, the conversation may be two-way or one-way.

[0024] Audio Analysis Section 3 The voice analysis unit 3 is an element for analyzing the contents of a conversation, and for example, analyzes the words contained in the conversation to obtain conversation information. For example, voice is input to the presentation evaluation system via a microphone. The presentation evaluation system then stores the conversation (voice) in a memory unit. The voice analysis unit 3 reads the conversation (voice) from the memory unit, analyzes the words contained in the conversation, and obtains conversation information. An example of conversation information is voice converted into sound information. The presentation evaluation system has a database that stores candidates for conversion words to convert phrases contained in the conversational text, and the conversion word candidates may be used to convert the conversation.

[0025] Presentation material related information storage section 5 The presentation material related information storage unit 5 is an element for storing information related to presentation materials. For example, a storage unit of a computer functions as the presentation material related information storage unit 5. An example of presentation material is each page of PowerPoint (registered trademark). The presentation material may be a material such as a PowerPoint that includes multiple pages. In other words, the presentation material may be a set of page candidates that include multiple display elements to be displayed as a presentation. Presentation material is material that is stored in a computer and displayed on a display unit so that it can be presented to the speaker, the interlocutor, or the audience. The presentation material related information includes, for example, either or both of presentation specification information, which is information for specifying a particular presentation material, and page specification information for specifying each page of the presentation material. Examples of information related to the presentation materials include the content of the presentation described above, as well as the presentation ID (identification number) for calling up the presentation, page number information, presentation category information, tags related to the presentation, keywords related to the presentation, information about the creator of the presentation, the creation date or update date of the presentation, security information about the presentation, and information about the software related to the presentation.

[0026] Keyword storage section 7 The keyword storage unit 7 is an element for storing information about keywords for each page of the presentation materials. For example, a storage unit of a computer functions as the keyword storage unit 7. Examples of multiple keywords related to the presentation materials are terms that may be used when providing an explanation based on each page of PowerPoint. The storage unit stores multiple keywords in association with each page of the presentation materials such as PowerPoint. The storage unit stores multiple keywords related to the presentation materials in association with information about the presentation materials (for example, file ID and page number). Examples of related words are "diabetes," "new drug," "XYZ," "ABC" (names of other therapeutic agents), "blood sugar level," "side effects," "blood sugar," "glaucoma," "retinopathy," "insulin," "DC Pharmaceuticals," "side effects," and "package insert."

[0027] Related Words Memory Unit 9 The related word storage unit 9 is an element for storing related words for each of the above keywords. For example, a storage unit of a computer functions as the related word storage unit 9. A related word is a term related to a keyword, although it is not the same as the keyword. A related word may be a term that is not the same as the keyword, but may be used in conversation as a term intended for the keyword. Examples of related words are synonyms or similar words of the keyword. For example, for the keyword "diabetes", the words are "type I", "type II", "lifestyle-related disease", "metabolic abnormality", and "insulin". The related word storage unit 9 may be provided with multiple dictionaries for each category. When tag information is stored in association with information of the presentation materials (for example, a file ID or a page number), the tag information may be used to select an appropriate dictionary in the related word storage unit 9, and the selected related word dictionary may be used to read out related words.

[0028] The evaluation unit 11 is an element for evaluating the content of the conversation analyzed by the voice analysis unit 3 or the people who conducted the conversation. The evaluation unit 11 evaluates the content of the conversation or the people who conducted the conversation based on the number of keywords, the number of related words, and a combination of keywords or a combination of related words per page of the presentation materials included in the content of the conversation analyzed by the voice analysis unit. For example, a storage unit, a calculation unit, and a control unit of a computer function as the evaluation unit 11. In this case, for example, a program is stored in the storage unit, an evaluation value is calculated based on the command of the program, and the content of the conversation or the people who conducted the conversation is evaluated using the evaluation value. A preferred example of the evaluation unit 11 evaluates the content of the conversation or the people who conducted the conversation based on the number of keywords and the number of related words per page of the presentation materials included in the content of the conversation analyzed by the voice analysis unit.

[0029] For example, the evaluation unit 11 reads out the conversation information from the storage unit. Then, the evaluation unit 11 reads out information about the keywords for each page of the presentation materials from the keyword storage unit 7, for example, using the ID and page information of each presentation material and its page. Then, the evaluation unit 11 reads out the related words of each keyword from the related word storage unit 9, using the information about the read out keywords. Next, the evaluation unit 11 performs a calculation process to consider whether the conversation information read out from the storage unit contains keywords or related words. Then, for example, the keywords, the number of keywords, related words, and the number of related words included in the conversation for each page of the presentation materials are stored in the storage unit. For example, each keyword and related word is assigned an individual evaluation value, and the evaluation unit 11 adds up the individual evaluation values ​​to obtain an evaluation value for each page and an evaluation value for the entire presentation. Then, the evaluation unit 11 stores the various evaluation values ​​obtained in the storage unit.

[0030] According to the above invention, the content of the conversation or the person who conducted the conversation can be evaluated based on the number of keywords and related words. If the content of the conversation or the person who conducted the conversation is evaluated using only keywords, the evaluation will not be properly performed when related words having substantially the same meaning as the keywords are used. For this reason, by evaluating the content of the conversation or the person who conducted the conversation based on the number of keywords and related words, the evaluation can be performed with higher accuracy. The evaluation unit 11 may obtain an evaluation value based on, for example, a combination of keywords or a combination of related words. In this case, the evaluation value may be obtained based on the number of combinations of keywords or the number of combinations of related words. Then, the content of the conversation or the person who conducted the conversation may be evaluated based on the obtained evaluation value. Note that a coefficient may be applied to the keyword or related word (or a combination of these) so that the evaluation value is higher when the keyword is used. Also, the evaluation value may be higher when a specific related word is used than when other related words are used. Furthermore, the evaluation value may be higher when a predetermined combination is included.

[0031] Evaluating the content of a conversation or the people who conducted the conversation based on the number of keywords per page, the number of related words, combinations of keywords or combinations of related words (particularly the number of related words or combinations of related words) is a different invention from the above described in this specification.

[0032] A preferable example of the above presentation evaluation system 1 further includes a grouping unit 13. The grouping unit 13 is an element for grouping people who have had a conversation based on the number of keywords, the number of related words, combinations of keywords, or combinations of related words per page of the presentation materials included in the content of the conversation analyzed by the voice analysis unit 3.

[0033] Since this invention further includes a grouping unit 13, it is possible to effectively group presenters (conversants) based on, for example, the evaluation values. For example, the number of groups to be divided into is stored in the storage unit. The system may read information regarding the number of groups and group presenters based on the evaluation values. Also, the system may store the relationship between the evaluation values ​​and the groups and assign presenters to the corresponding groups based on the evaluation values.

[0034] A preferred embodiment of the presentation evaluation system 1 described above further includes a page extraction unit 15. The page extraction unit 15 is an element for extracting evaluation pages, which are pages of the presentation materials for evaluating the content of the conversation or the people who conducted the conversation, for the groups grouped by the grouping unit 13, using the number of keywords, the number of related words, a combination of keywords, or a combination of related words per page of the presentation materials.

[0035] This invention has a page extraction unit 15, so it can extract an evaluation page suitable for evaluating a presenter. This evaluation page may be one page of the presentation material, or two or more pages.

[0036] In another embodiment of the above system, the evaluation unit 11 evaluates the content of the conversation or the people who had the conversation based on the number of keywords and related words per page of the presentation materials included in the content of the conversation analyzed by the voice analysis unit.The grouping unit 13 in this embodiment then groups the people who had the conversation based on the number of keywords and related words.The page extraction unit 15 in this embodiment then extracts evaluation pages for the groups grouped by the grouping unit 13 using the number of keywords and related words.

[0037] Another aspect of the above system includes a voice analysis unit 3, a presentation material related information storage unit 5, a keyword storage unit 7, an evaluation unit 11, a grouping unit 13, and a page extraction unit 15. The evaluation unit 11 of this aspect evaluates the content of the conversation or the people who have had the conversation based on the number of keywords or the combination of keywords for each page of the presentation material included in the content of the conversation analyzed by the voice analysis unit 3. The grouping unit 13 of this aspect groups the people who have had the conversation based on the number of keywords or the combination of keywords. The page extraction unit 15 of this aspect extracts evaluation pages for the groups grouped by the grouping unit 13 using the number of keywords or the combination of keywords. In this aspect, grouping and evaluation pages may be extracted based only on the number of keywords.

[0038] In this way, the system may calculate an evaluation value by appropriately using one or more of the number of keywords per page of the presentation materials, the number of related words, keyword combinations, and related word combinations, or even other elements, and based on the evaluation value, evaluate the content of the conversation or the people who had the conversation, group them, and extract pages for evaluation.

[0039] In a preferred embodiment of the presentation evaluation system 1, the keyword storage unit 7 further stores keyword appearance order information relating to the order in which keywords appear. The evaluation unit 11 then evaluates the content of the conversation or the people who conducted the conversation using information on the number of keywords and related words on the evaluation page, which is included in the content of the conversation analyzed by the voice analysis unit 3, and the keyword appearance order information on the evaluation page. In this case, for example, an evaluation value may be obtained using the information on the number of keywords and related words on the evaluation page and the keyword appearance order information on the evaluation page, and the evaluation value may be used to evaluate the content of the conversation or the people who conducted the conversation. In addition, system 1 may evaluate the content of the conversation or the people who conducted the conversation using the number or combination of keywords and related words for each page of the presentation materials contained in the content of the conversation analyzed by the voice analysis unit, or information on the order in which keywords appear or are combined for each page of the presentation materials.

[0040] A preferable presentation evaluation system 1 described above further comprises an evaluation keyword extraction unit 17, an unused evaluation keyword extraction unit 19, and an unused evaluation keyword output unit 21. The evaluation keyword extraction unit 17 is an element for extracting, as evaluation keywords, keywords used in relation to evaluation pages in the group having the greatest number or combination of keywords and related words per page of the presentation materials among the groups divided by the grouping unit. The unused evaluation keyword extraction unit 19 is an element for extracting unused evaluation keywords. The unused evaluation keywords are keywords included in the content of the conversation analyzed by the voice analysis unit 3, and are not included in the terms included in the conversation on the evaluation page. The unused evaluation keyword output unit 21 is an element for outputting the unused evaluation keywords extracted by the unused evaluation keyword extraction unit 19 . When the unused evaluation keyword output unit 21 outputs an unused evaluation keyword, for example, the system may delete the unused evaluation keyword from the evaluation keywords. In this way, the system can reduce the number of keyword matches, and can quickly evaluate conversations and conversation partners.

[0041] This invention includes a program for causing a computer to function as any of the above-mentioned systems, and an information recording medium (e.g., a DVD, a CD-ROM, a USB memory, a hard disk, a SIM card) that stores such a program and can be read by a computer. EXAMPLES

[0042] The present invention will be specifically described below using examples. However, the present invention is not limited to the following examples, and appropriate modifications based on known elements are also included in the present invention.

[0043] In this example, a project manager (PM) of a certain company registered a slide in the system. In other words, a certain slide was entered into the system, and the system stored the slide in its memory.

[0044] The PM set a voice recognition keyword for each page of the slide. In other words, the system was made to allow the input of a voice recognition keyword for each page of the input slide. The system then stored the input keyword in the memory unit in association with each page of the slide.

[0045] The presenters (in this example, 200 medical representatives (MRs)) used their own terminals to give presentations based on the slides. Each terminal is equipped with an audio terminal (microphone), and the audio of the presentation is input into the system. The following processing may be performed by each terminal, or various calculations may be performed by a server that can communicate with each terminal. Also, a camera may be installed in each terminal, which may capture video and input the video into the system. The video may capture the presenter, or may capture the audience (for example, a doctor listening to the explanation from the MR). In either case, the audio or video is input into the system via the input unit. The input audio or video may be stored in the memory unit.

[0046] The system's voice analysis unit analyzed the content of the conversation (presentation). The system read out the keywords for each page of the slides and divided the participants into groups based on how many of the set keywords were used for each page. The grouping based on the presenters' performance was as shown in Table 1. The grouping was done by dividing the participants into groups based on the highest speech rate of the keywords across all slides. The participants were divided into groups so that those with a high speech rate (those who spoke the keywords most frequently) belonged to Group 7, and those with a low speech rate belonged to Group 1. The speech rate was calculated by taking the average of what percentage of the set keywords the members of a group spoke. In Table 1, the speech rate was defined as what percentage of the keywords on all pages were spoken. It should be noted that a database related to presenters exists, and grouping based on the presenters' performance may be performed and stored.

[0047] [Table 1]

[0048] The number of keywords on each page and the utterance rate of the keywords in each group are shown in Table 2 below. In Table 1, the utterance rate is the percentage of the keywords on each page that were uttered. [Table 2]

[0049] As shown in Table 2, it was found that pages 13 and 18 showed the same tendency as the overall grouping. The system performs overall grouping, and then performs grouping for each page. Then, pages that match the grouping tendency (groups with higher values ​​have higher evaluation values ​​and speech rates) can be extracted as the evaluation target pages. This system determined page 13 or 18 as the evaluation target page (evaluation page) and stored it in the memory unit. In this way, once the evaluation target page has been determined, it is preferable because the excellence of the presenter can be evaluated for subsequent evaluations by simply evaluating the speech rate of keywords on the evaluation target page, without having to analyze all the information on the slide.

[0050] In addition, related words may be stored for each keyword, and when the related words are uttered, it may be interpreted that the related keyword has been uttered. For example, in the case of deaths, which should be emphasized, the keyword "not" has related words such as "nashi", "naku" and "masenai", and these related words may be stored in the system, and when the keyword "not" is entered into the system, the related words may be automatically read out. When it is analyzed that the conversation contains related words, it may be automatically processed as if the keyword has been uttered.

[0051] In this example, the speech rate was calculated based on the number of keywords, and the presenter was evaluated. It is also possible to calculate an evaluation value instead of the speech rate, and evaluate the content of the conversation or the person who conducted the conversation. An example of the evaluation value is to analyze whether not only keywords but also related words were spoken, and assign points to each of the keywords and related words to calculate the evaluation value. The evaluation value may also be based on the number of keywords and related words. Furthermore, for example, if the conversation includes a combination of keywords or a combination of related words (for example, "diabetes" and "improvement", or "drug A" (drug name) and "package insert"), a high value may be given.

[0052] Figure 4 is a conceptual diagram for explaining the order in which keywords are registered by top performers. As shown in Figure 4, it was found that not only do top performers have a high speech rate for each keyword, but there is also a pattern to the order in which they use the keywords. For this reason, it is possible to store numerical values ​​according to the order in which keywords are registered and add these numerical values ​​to obtain the evaluation value, for example, adding points when keyword B comes after keyword A, and adding further points when A → B → C comes. Also, it is possible to add numerical values ​​to obtain the evaluation value when keyword group C and D come after keyword group A and B.

[0053] Figure 5 is a conceptual diagram to explain the order in which keywords were registered by the group of non-top performers. Comparing Figures 4 and 5, we can see that the top performers had a pattern to the order in which keywords appeared in conversation, whereas the rest of the group had an irregular order in which keywords appeared. In other words, we can see that the top performers had a consistency in the order in which they used terms when explaining certain presentation materials, and explained them in the same context. [Industrial Applicability]

[0054] The present invention can be used in the information and communications industry. [Explanation of symbols]

[0055] 1. Presentation Evaluation System 3. Audio Analysis Section 5. Presentation material related information storage section 7 Keyword storage section 9 Related Words Memory Section 11 Evaluation Section 13 Grouping Section 15 Page Extraction Section 17 Evaluation keyword extraction section 19 Unused evaluation keyword extraction section 21 Unused evaluation keyword output section

Claims

1. A voice analysis unit (3) that analyzes the content of the conversation; a presentation material related information storage unit (5) for storing information related to the presentation material, the information related to the presentation material including information for identifying each page of the presentation material; a keyword storage unit (7) for storing keywords for each page of the presentation material; An evaluation unit (11) that evaluates the content of the conversation analyzed by the voice analysis unit (3) or the person who conducted the conversation, The keyword storage unit (7) further stores keyword appearance order information regarding the appearance order of the keywords and numerical values ​​corresponding to the appearance order of the keywords, The evaluation unit (11) determining whether the keyword is included in the content of the conversation for each page of the presentation material; calculating an evaluation value for evaluating the content of the conversation or the conversation participants using a numerical value corresponding to the number of the keywords and the order of appearance of the keywords, the evaluation value being associated with information for identifying each page of the presentation material and included in the content of the conversation, and evaluating the content of the conversation or the conversation participants using the evaluation value; A presentation evaluation system (1), The method further includes a grouping unit (13) for grouping people who have had a conversation, The grouping unit (13) groups people who have had conversations based on the evaluation value, The evaluation unit (11) calculates the evaluation value for each page included in the presentation material. A presentation evaluation system (1), The method further includes a page extraction unit (15) for extracting, from among the groups divided by the grouping unit (13), pages for which the group with the higher evaluation value has a higher evaluation value than the group with the lower evaluation value, as evaluation pages which are pages of the presentation materials for evaluating the content of the conversation or the people who have had the conversation. Presentation evaluation system (1).

2. A presentation evaluation system (1) according to claim 1, The evaluation unit (11) For a specific page included in the presentation material, an evaluation value is calculated as a value for evaluating the content of the conversation or the conversation participants using a numerical value corresponding to the number of the keywords and the appearance order of the keywords included in the content of the conversation analyzed by the voice analysis unit (3). Presentation evaluation system (1).

3. A presentation evaluation system (1) according to claim 1, The evaluation unit (11) calculating an evaluation value, which is a value for evaluating the content of the conversation or the interlocutors, using a numerical value corresponding to the number of the keywords, the combination of the keywords, and the appearance order of the keywords included in the content of the conversation analyzed by the voice analysis unit (3); Presentation evaluation system (1).

4. A presentation evaluation system (1) according to any one of claims 1 to 3, The method further includes an evaluation keyword extraction unit (17) for extracting, as an evaluation keyword, a keyword stored in the keyword storage unit (7) for the evaluation page, the keyword being used for the evaluation page in the group having the highest evaluation value among the groups divided by the grouping unit (13), Presentation evaluation system (1).

5. Computer, A voice analysis unit (3) that analyzes the content of the conversation; a presentation material related information storage unit (5) for storing information related to the presentation material, the information related to the presentation material including information for identifying each page of the presentation material; a keyword storage unit (7) for storing keywords for each page of the presentation material; An evaluation unit (11) that evaluates the content of the conversation analyzed by the voice analysis unit (3) or the person who conducted the conversation, The keyword storage unit (7) further stores keyword appearance order information regarding the appearance order of the keywords and numerical values ​​corresponding to the appearance order of the keywords, The evaluation unit (11) An evaluation value is calculated as a value for evaluating the content of the conversation or the conversation participants using a numerical value corresponding to the number of the keywords and the appearance order of the keywords included in the content of the conversation analyzed by the voice analysis unit (3), and the content of the conversation or the conversation participants is evaluated using the evaluation value. Presentation Evaluation System (1) A program to function as a

6. 6. A computer-readable information recording medium storing the program according to claim 5.

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