[go: up one dir, main page]

JP2015127929A - Method for determining optimal team for discussing subject composed of members whose conversation was recorded - Google Patents

Method for determining optimal team for discussing subject composed of members whose conversation was recorded Download PDF

Info

Publication number
JP2015127929A
JP2015127929A JP2013273912A JP2013273912A JP2015127929A JP 2015127929 A JP2015127929 A JP 2015127929A JP 2013273912 A JP2013273912 A JP 2013273912A JP 2013273912 A JP2013273912 A JP 2013273912A JP 2015127929 A JP2015127929 A JP 2015127929A
Authority
JP
Japan
Prior art keywords
subject
conversation
time zone
utterances
leader
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2013273912A
Other languages
Japanese (ja)
Inventor
昭仁 島田
Akihito Shimada
昭仁 島田
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to JP2013273912A priority Critical patent/JP2015127929A/en
Publication of JP2015127929A publication Critical patent/JP2015127929A/en
Pending legal-status Critical Current

Links

Landscapes

  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

PROBLEM TO BE SOLVED: To solve the problem that there is no technique of determining an optimal team of members (personnel assignment) for discussing a subject, i.e., and that because a leader is decided depending on a subject and a relative relationship with other speakers except for a case a leader is decided from the start, a conventional technique focuses on a technique of determining a leader of a conversation though there is important information on members other than the leader for determining an optimal team.SOLUTION: From a recorded conversation, unit time zones are set in such a way that a time point at which a composition ratio of the numbers of utterances in the conversation has dramatically changed is a separation point. In each of the unit time zones, a plurality of frequently-appearing nouns are extracted in order of descending frequency, and a subject of a conversation in each unit time zone is derived. By matching a plurality of members whose numbers of utterances constitute larger portions of all numbers of utterances in each unit time zone with a subject of a conversation in the unit time zone, optimal personnel assignment for discussing the subject is determined.

Description

この発明は、或る主題を解決するにあたって人員を限定し討議の場を設けるときの最適な人員配置方法に関するものであり、特に、或る場に存在する3人以上の人物間における会話の記録から当該3人以上の人物内での最適な班構成を判別する方法に関する。  The present invention relates to an optimal staffing method for limiting the number of people and providing a place for discussion in solving a certain subject, and in particular, recording a conversation between three or more persons existing in a certain place. From the above, it is related with the method of discriminating the optimal group composition in the said 3 or more persons.

この種の班構成判別方法についての従来技術は存在しなかった。近似する従来技術の一例が特許文献1に開示される。この特許文献1によれば、発話者の発話という行為から発話量を算定し先導者を特定する。  There was no prior art on this type of team composition discrimination method. An example of the prior art to be approximated is disclosed in Patent Document 1. According to this patent document 1, the amount of speech is calculated from the act of speaking by a speaker, and the lead is specified.

また、近似する従来技術の一例が非特許文献1に開示される。この非特許文献1によれば、発話者の発話という行為から「ターン」に該当する発話回数の全体構成比を算定し先導者を特定する。  An example of the prior art that approximates is disclosed in Non-Patent Document 1. According to this Non-Patent Document 1, the overall composition ratio of the number of utterances corresponding to the “turn” is calculated from the act of speaking by the speaker, and the leader is specified.

特開2005−275536JP-A-2005-275536

まちづくり小集団の合意形成におけるリーダー的人物の機能評価に関する研究−桐生市における「かんのんまちづくりの会」に着目して,島田昭仁,小泉秀樹(共著),日本建築学会大会学術講演会梗概集2013年度大会p−311  A study on the functional evaluation of leaders in consensus building in small community development-Focusing on the "Kannon Community Planning Society" in Kiryu City 2013 Conference p-311

この従来技術では、会話の先導者という当該個人を判別することに目的を置いており、或る主題を討議するのに最適な班構成(複数の人員配置)を判別することを目的としていなかった。  This prior art is aimed at discriminating the individual who is the leader of the conversation, and is not aimed at discriminating the most suitable group composition (multiple staffing) for discussing a certain subject. It was.

特許文献1の判別方法によれば、会話の先導者が一方的に頻繁に発話している場合には、当該発話の内容が示す主題についての先導者という当該個人を判別することはできたとしても、その発話の内容に続く別の発話が頻繁に行われなければ討議が成立しないため、当該主題を討議するのに最適な班構成を判別することができなかった。  According to the determination method of Patent Document 1, when the conversation leader unilaterally speaks frequently, it is possible to determine the individual who is the leader of the subject indicated by the content of the utterance. However, since the discussion would not be successful unless another utterance following the content of the utterance was frequently performed, it was not possible to determine the optimal team composition for discussing the subject.

また、たとえば会議で、はじめから先導者が決まっている場合、当該先導者の発話の頻度が他の発話者よりも著しく多い理由から、当該先導者以外の人物の発話の頻度が相対的に著しく低くなる場合では、当該先導者以外の誰が積極的に会話に関与したかを判別することが著しく困難であった。  Also, for example, when a leader is determined from the beginning in a conference, the frequency of utterances by persons other than the leader is relatively remarkably higher because the frequency of the utterance of the leader is significantly higher than that of other utterers. In the case of low, it was extremely difficult to determine who other than the leader was actively involved in the conversation.

非特許文献1の判別方法によれば、「ターン」に該当する発話回数を算定し、一方的に発話した発話回数を除外することで、討議に関与した先導者を正確に判別することはできたが、当該先導者が不在の場合に誰が代わりに先導者となりえたかについては判別できなかった。  According to the determination method of Non-Patent Document 1, the number of utterances corresponding to “turn” is calculated, and the number of utterances unilaterally uttered can be excluded to accurately determine the leader involved in the discussion. However, it was not possible to determine who could become a leader instead when the leader was absent.

先導者は主題に応じ他の発話者との相対的な関係の中で決まってくるので、最適な班構成を判別するうえで先導者以外の成員にも重要な情報があったが、従来技術では会話の先導者を判別する技術のみに関心が向けられていた。  Leaders are determined according to the subject matter and in a relative relationship with other speakers, so there was important information for members other than the leaders in determining the optimal team composition. So, the focus was only on the technology that discriminates conversation leaders.

それゆえに、この発明の主たる目的は、或る会話に頻繁に発話する人物が混じっている場合であっても、当該会話の記録から、或る主題を討議するにあたっての最適な人員配置のベストミックスを判別する方法を提供することである。  Therefore, the main object of the present invention is to provide the best mix of optimal personnel assignment for discussing a subject from a record of the conversation, even when a person who frequently speaks in a conversation is mixed. It is to provide a method for discriminating.

請求項1の発明では、非特許文献1の先導者判別方法と同様に、記録された会話から、「ターン」に該当する発話者の発話回数の全体構成比を算定したデータを使用して、当該会話における全発話者の関与の度合いを判別する。  In the invention of claim 1, similarly to the leader discriminating method of Non-Patent Document 1, using the data calculated from the recorded conversation, the overall composition ratio of the number of utterances of the speaker corresponding to the “turn”, The degree of involvement of all speakers in the conversation is determined.

さらに請求項1の発明では、記録された会話から、或る時間帯において頻出した名詞を上位から複数抽出し、当該時間帯における会話の主題を導出する。  Furthermore, in the invention of claim 1, a plurality of nouns that frequently appear in a certain time zone are extracted from the recorded conversation from the top, and the subject of the conversation in that time zone is derived.

さらに請求項1の発明では、記録された会話から判別した、或る時間帯における全発話者の関与の度合いと、当該時間帯における会話の主題とを照応し、当該主題を討議するのに最適な人員配置を判別する。  Furthermore, in the invention of claim 1, the degree of involvement of all the speakers in a certain time zone determined from the recorded conversation and the subject of the conversation in the time zone are adapted to discuss the subject. The correct staffing.

請求項3の発明は請求項1に従属し、記録された会話から頻出した名詞を上位から複数抽出する時間帯の取り方を、当該会話における発話回数の全体構成比の変化の大きかった時点間を単位時間帯として区分する区分手段である。  The invention of claim 3 is dependent on claim 1 and the time zone for extracting a plurality of nouns frequently appearing from the recorded conversation from the top is determined between the time points when the change in the overall composition ratio of the number of utterances in the conversation is large. Is a classification means for classifying as a unit time zone.

この発明によれば、或る会話に頻繁に発話する人物が混じっている場合であっても、当該会話の記録から、単位時間帯における発話のやりとりの回数の全体構成比と会話の主題を照応することで、特定の主題を討議するにあたっての最適な人員配置のベストミックスを正確に判別することができる。  According to this invention, even if a person who frequently speaks in a certain conversation, the overall composition ratio of the number of utterances exchanged in a unit time zone and the subject of the conversation are matched from the record of the conversation. By doing so, it is possible to accurately determine the best mix of the optimal staffing when discussing a specific subject.

この発明によれば、或る会話に頻繁に発話する人物が意図的に先導ないし支配しようとした主題があるなしに関わらず、実際に討議された主題を発話者の関与に応じて導出することができるので、討議するにあたっての最適な人員配置に対応する主題を正確に判別することができる。  According to the present invention, regardless of whether there is a subject that a person who frequently speaks in a conversation intentionally leads or controls, the subject that is actually discussed is derived according to the involvement of the speaker. Therefore, it is possible to accurately determine the subject corresponding to the optimal staffing for the discussion.

或る時間帯における発話回数の全体構成比の大きい複数の成員と、当該時間帯における会話の主題との照応に用いるマトリックス図である。It is a matrix figure used for correspondence with a plurality of members with a large whole composition ratio of the number of utterances in a certain time zone, and the subject of conversation in the said time zone.

図1のマトリックス図に示される左列には、時間帯の推移を記入し、同図中列には当該時間帯における各成員の発話回数の全体構成比を記入し、同図右列には当該時間帯における頻出名詞うち会話の主題を知るために役立つ単語を複数記入する。  In the left column shown in the matrix diagram of FIG. 1, the transition of the time zone is entered. In the same column, the overall composition ratio of the number of utterances of each member in the time zone is entered. Enter a number of frequently used nouns in the time zone to help you understand the subject of the conversation.

図1に示すとおり同マトリックスの左列には時間や年月日に限らず、時間の推移を表わすものであればどのような単位であっても良い。  As shown in FIG. 1, the left column of the matrix is not limited to time and date, but may be any unit as long as it represents a time transition.

図1に示すとおり同マトリックス図の中列には、各成員の発話回数の全体構成比を横棒グラフで示したものを記入すると、各成員の構成比がより可視化されるが、成員の識別と数値のみ記入しても良い。  As shown in Fig. 1, in the middle column of the matrix diagram, if you fill in the horizontal composition of the number of utterances of each member, the composition ratio of each member becomes more visible. Only numerical values may be entered.

図1に示すとおり同マトリックス図の右列には、或る時間帯における頻出名詞を記入しても良いが、当該時間帯における発話回数の全体構成比の大きい成員の発話から、当該頻出名詞を含む発話を抽出し、当該発話内容の要旨を記入しても良い。  As shown in FIG. 1, frequent nouns in a certain time zone may be entered in the right column of the matrix diagram, but the frequent nouns are extracted from the utterances of members having a large overall composition ratio of the number of utterances in the time zone. It is also possible to extract the utterances that are included and enter the summary of the utterance contents.

本発明は、会話を記録された人物の中から或る主題を討議するのに最適な班構成を判別する技術を提供しうるものであり、企業や組織内の成員の最適な人事配置の決定に寄与するものである。  INDUSTRIAL APPLICABILITY The present invention can provide a technique for discriminating an optimal group composition for discussing a certain subject from among persons who have recorded conversations, and determining an optimal personnel arrangement of members in a company or an organization. It contributes to.

現在、多くの企業や組織で、成員ないし顧客の会話を記録したデータベースが保有され、当該データベースは今後さらに増大することが見込まれている中で、当該データベースを用いたソリューションについてのニーズは高まっている。  Currently, many companies and organizations have a database that records the conversations of members and customers, and the database is expected to grow further in the future, and the need for solutions using such databases is growing. Yes.

本発明は、企業や組織の成員のコミュニケーションを円滑かつ効率よく行わせるための、或る主題に対応した最適な班構成を簡便に判別する技術であり、当該データベースにおける発話回数の全体構成比の変化の大きかった時点間を単位時間帯と判断する判断手段と、前記データベースから或る時間帯における主題を導出する導出手段とを併せ持ったソフトを開発することで、産業上の利用可能性は飛躍的に高まる。  The present invention is a technique for easily discriminating an optimum group configuration corresponding to a certain subject for smooth and efficient communication of members of a company or organization, and the overall composition ratio of the number of utterances in the database. By developing software that has both judgment means for judging the time between changes as a unit time zone and derivation means for deriving a subject in a certain time zone from the database, the industrial applicability has jumped. Increase.

Claims (3)

或る場に存在する3人以上の人物間における会話から、特定の主題について討議するにふさわしい前記3人以上の人物の組み合わせを判別する方法であって、
前記3人以上の人物間における会話をテキストファイルとして保存したデータから、或る時間帯における討議の主題を導出する導出手段、および
或る時間帯における前記3人以上の人物各人全ての発話回数の全体構成比と、前記導出手段から導出された討議の主題の変化とを照応する手順を備える、前記人物の最適組み合わせの判別方法。
A method of determining a combination of three or more persons suitable for discussing a specific subject from a conversation between three or more persons existing in a certain place,
Deriving means for deriving the subject of discussion in a certain time zone from data in which conversations between the three or more people are stored as text files, and the number of utterances of each of the three or more people in a certain time zone A method for discriminating the optimum combination of persons, comprising a procedure for recognizing the overall composition ratio of the above and a change in the subject of discussion derived from the deriving means.
前記或る時間帯における討議の主題を導出するにあたって、前記保存したデータから、或る時間帯において頻出した名詞を上位から複数抽出し、当該複数の名詞から当該時間帯における会話の主題を導出する第1導出手段を備える、請求項1記載の判別方法。  In deriving the subject of discussion in the certain time zone, a plurality of nouns that frequently appear in the certain time zone are extracted from the stored data from the top, and the subject of conversation in the time zone is derived from the plurality of nouns. The determination method according to claim 1, further comprising first derivation means. 前記発話回数の全体構成比に大きな変化が生じた時点を区切りとして前記時間帯を区分する第1区分手段をさらに備え、第1区分手段によって区分された時間帯における当該発話回数の全体構成比の大きい複数の成員と、請求項2で導出した当該時間帯における会話の主題とを照応し、当該主題を討議するのに最適な人員配置を判別する、請求項1記載の判別方法。  First division means for dividing the time zone with a point when a large change occurs in the overall composition ratio of the number of utterances is further provided, and the overall composition ratio of the number of utterances in the time zone divided by the first division means The determination method according to claim 1, wherein a plurality of large members and the subject of conversation in the time period derived in claim 2 are matched to determine an optimal personnel assignment for discussing the subject.
JP2013273912A 2013-12-27 2013-12-27 Method for determining optimal team for discussing subject composed of members whose conversation was recorded Pending JP2015127929A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2013273912A JP2015127929A (en) 2013-12-27 2013-12-27 Method for determining optimal team for discussing subject composed of members whose conversation was recorded

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2013273912A JP2015127929A (en) 2013-12-27 2013-12-27 Method for determining optimal team for discussing subject composed of members whose conversation was recorded

Publications (1)

Publication Number Publication Date
JP2015127929A true JP2015127929A (en) 2015-07-09

Family

ID=53837894

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2013273912A Pending JP2015127929A (en) 2013-12-27 2013-12-27 Method for determining optimal team for discussing subject composed of members whose conversation was recorded

Country Status (1)

Country Link
JP (1) JP2015127929A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10332073B2 (en) 2016-09-08 2019-06-25 International Business Machines Corporation Agile team structure and processes recommendation

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005069171A1 (en) * 2004-01-14 2005-07-28 Nec Corporation Document correlation device and document correlation method
WO2009116342A1 (en) * 2008-03-18 2009-09-24 日本電気株式会社 Dynamic topic analysis system, method of dynamic topic analysis, and medium wherein dynamic topic analysis program is recorded
JP2012155374A (en) * 2011-01-21 2012-08-16 Sony Corp Information processing device, information processing method, program, and information processing system
US20120233257A1 (en) * 2009-11-30 2012-09-13 International Business Machines Corporation Social analysis in multi-participant meetings

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005069171A1 (en) * 2004-01-14 2005-07-28 Nec Corporation Document correlation device and document correlation method
WO2009116342A1 (en) * 2008-03-18 2009-09-24 日本電気株式会社 Dynamic topic analysis system, method of dynamic topic analysis, and medium wherein dynamic topic analysis program is recorded
US20120233257A1 (en) * 2009-11-30 2012-09-13 International Business Machines Corporation Social analysis in multi-participant meetings
JP2012155374A (en) * 2011-01-21 2012-08-16 Sony Corp Information processing device, information processing method, program, and information processing system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10332073B2 (en) 2016-09-08 2019-06-25 International Business Machines Corporation Agile team structure and processes recommendation

Similar Documents

Publication Publication Date Title
Mansell et al. Deinstitutionalization and community living: Intellectual disability services in Britain, Scandinavia and the USA
Knutsen Democracy and economic growth: A survey of arguments and results
CN105448292B (en) A scene-based real-time speech recognition system and method
US9002843B2 (en) System and method for extraction of off-topic part from conversation
Hirsch That's unfair-or is it: Big data, discrimination and the FTC's unfairness authority
US20180342251A1 (en) Automatic speaker identification in calls using multiple speaker-identification parameters
US20160189713A1 (en) Apparatus and method for automatically creating and recording minutes of meeting
CN104780282B (en) The method and apparatus classified to the speech content in videoconference
US20160189103A1 (en) Apparatus and method for automatically creating and recording minutes of meeting
US9196253B2 (en) Information processing apparatus for associating speaker identification information to speech data
Boyd et al. Educational and labor market attainments of the 1.5-and second-generation children of East Asian immigrants in Canada
US10769648B2 (en) Automated business reviews based on patron sentiment
Sawhney et al. Multimodal multi-speaker merger & acquisition financial modeling: A new task, dataset, and neural baselines
Kim et al. Automatic detection of conflict escalation in spoken conversations.
Dingeldey et al. Not just black and white, but different shades of grey: Legal segmentation and its effect on labour market segmentation in Europe
Gleason et al. Representing the states before the US Supreme Court: state amicus brief participation, the policy-making environment, and the fourth amendment
Hall-Lew et al. Phonetic variation and self-recorded data
Schmitz The rise of the East: What does it mean for development studies?
JP2015127929A (en) Method for determining optimal team for discussing subject composed of members whose conversation was recorded
Oertel et al. Towards the automatic detection of involvement in conversation
JP2020160425A5 (en)
US12401539B2 (en) Meeting inclusion and hybrid workplace insights
KR101716748B1 (en) Call classification system and method for managing quality of call center
FitzGibbon The devaluation of the artist
Enns et al. The Power of Economic Interests and the Congressional Economic Policy Agenda

Legal Events

Date Code Title Description
A80 Written request to apply exceptions to lack of novelty of invention

Free format text: JAPANESE INTERMEDIATE CODE: A80

Effective date: 20131227

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20150706

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20150706

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20160415

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20160419

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20160620

A521 Written amendment

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20160818

A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20161122