KR102109881B1 - System for analysing individual and team interactional capability using sensor data and method thereof - Google Patents

System for analysing individual and team interactional capability using sensor data and method thereof Download PDF

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KR102109881B1
KR102109881B1 KR1020180081644A KR20180081644A KR102109881B1 KR 102109881 B1 KR102109881 B1 KR 102109881B1 KR 1020180081644 A KR1020180081644 A KR 1020180081644A KR 20180081644 A KR20180081644 A KR 20180081644A KR 102109881 B1 KR102109881 B1 KR 102109881B1
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member
strength
interaction
members
data
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KR20190134437A (en
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홍운기
정윤혁
우한균
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울산과학기술원
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0639Performance analysis
    • G06Q10/06398Performance of employee with respect to a job function
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • G06Q10/0639Performance analysis
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

The present invention is a system and method for analyzing the interaction capability of individuals and organizations using sensor data.
According to the present invention, in an individual and organization interaction capability analysis system using sensor data, the distance of other members is measured using a proximity sensor worn by each member in a group, and a motion sensor and a voice sensor are used. A data acquisition unit that acquires conversation data between the members, a one-to-one interaction calculation unit that calculates a one-to-one interaction intensity using the acquired conversation data, and an individual who calculates an individual interaction intensity using the one-to-one interaction intensity data. It includes an interaction calculation unit and a social network analysis unit that integrates the one-to-one interaction strength data and individual interaction strength data, and derives a network relationship between members using the combined result.
As described above, according to the present invention, members 'interaction patterns and personal characteristics can be objectively analyzed using sensed data, and members' social competency can be improved through coaching for advantages and disadvantages of personal characteristics.
In addition, by using the calculated interaction pattern data, a member showing symptoms of alienation can be detected in advance to take action before bullying and bullying occur.

Description

System and method for analyzing personal and organizational interaction capabilities using sensor data {SYSTEM FOR ANALYSING INDIVIDUAL AND TEAM INTERACTIONAL CAPABILITY USING SENSOR DATA AND METHOD THEREOF}

The present invention relates to a system and method for analyzing the interaction capability of individuals and organizations using sensor data, and more specifically, using voice, motion, and proximity data measured from members in a group, each member and team A system and method for analyzing personal and organizational interactions using an algorithm for analyzing conversations.

The ability to interact with others is an essential element for an organization or team to perform effective work and achieve strategic goals, but most companies and competency consulting consulting services rely on subjective judgment by questioning or consulting.

In order to achieve your team or organizational goals, you need not only outstanding individuals, but also the ability to work together. In addition to individual competencies, the need for competencies to create new values by sharing and integrating group knowledge and information through correct interaction with others is increasing.

Researches on communication skills and collaborative behaviors were mainly subjective measurements through observation of research participants or through questionnaires, but the development of information technology made it possible to measure and manage human behaviors more scientifically and objectively.

By using sensing data such as movement, voice, and proximity of human behavior using information technology, objective understanding of humans has become possible. A methodology and necessity for objectively evaluating an algorithmic ability to interact with others using such sensing data are emerging.

The background technology of the present invention is disclosed in Korean Patent Registration No. 10-1559364 (announced on October 12, 2015).

The technical problem to be achieved by the present invention is to analyze a dialogue between each member and a team by using sensor data measured from members in a group, and to provide an algorithm and diagnostic system for analyzing an individual's and organization's ability to interact.

According to an embodiment of the present invention for achieving such a technical problem, in the analysis of the interaction capability of individuals and organizations using sensor data, each member in the group first wears a sensor to conduct daily tasks or conversations. In this case, a data acquisition unit that measures the distance of other members using a proximity sensor that is being worn, and acquires conversation data between the members using a motion sensor and a voice sensor, and a one-to-one interaction using the acquired conversation data The one-to-one interaction calculating unit for calculating the intensity, the individual interaction calculating unit for calculating the individual interaction intensity using the one-to-one interaction data, and the one-to-one interaction intensity data and the individual interaction intensity data, and integrating the combined results. It includes a social network analysis unit to derive the network relationship between members using.

The one-to-one interaction calculator may calculate a turn-taking strength and a response strength for the second member that any first member in the group speaks to any other second member. have.

Figure 112018069269858-pat00001

Figure 112018069269858-pat00002

Here, i is the first member, j is the second member, Turn ij is the number of times the first member speaks after the second member speaks,

Figure 112018069269858-pat00003
Is the number of times the entire member spoke, Response V ij is the number of times the first member responded to the second member with a short voice, and Response M ij is the number of times the first member responded to the second member in action, Duration i Indicates the time that the first member is speaking.

The one-to-one interaction calculating unit may further calculate Dyadic turn-taking, Dyadic Response strength, and Dyadic interactional strength as in the following equation.

Dyadic turn-taking ij = Turn-taking strength ij + Turn-taking strength ji

Dyadic Response strength ij = Response strength ij X Response strength ij

Dyadic interactional strength ij = Dyadic turn-taking ij X Dyadic Response strength ij

Here, Dyadic turn-taking ij is the degree of conversation between the first member and the second member, Turn-taking strength ij is the communication strength that the first member speaks to the second member, Turn-taking strength ji is the second member The communication strength, Dyadic Response strength ij , speaking to the first member is the reaction intensity between the first member and the second member, and the Dyadic interactional strength ij is the intensity of mutual communication between the first member and the second member.

The individual interaction calculating unit may calculate response capability, biased turn-taking, and biased responsive skill using data of each member belonging to the group.

Figure 112018069269858-pat00004

Figure 112018069269858-pat00005

Figure 112018069269858-pat00006

Here, n is the total number of members, Turn-taking strength i is the average communication strength that the first member speaks to other members, and Dyadic response strength i is the average response intensity that the first member corresponds to other components.

The individual interaction calculating unit may further calculate proactive participation, persuasive communication skill, and interactive capability using the data of the members.

Figure 112018069269858-pat00007

Figure 112018069269858-pat00008

Figure 112018069269858-pat00009

Here, Pitch i means a value obtained by dividing the difference between the maximum and minimum values of the height of the personal voice by the average value, and Motion i represents the degree of movement of each member.

The social network analysis unit may derive a network bridging capability and a group of interactional aliens using the network relationship diagram of the group and the following equation.

Network bridging capability of person i =

Figure 112018069269858-pat00010

Symptom of interactional alien of person i = Number of connected members of person i X Sum of interactional strength of person i

Here, Number of the first and second degree connected member of person i is the number of members reachable through 1 or 2 connections from the member, and Number of connected members of person i is the number of members directly connected to the member And Sum of interactional strength of person i is the sum of the interaction strengths of the member.

The personal and organizational interaction capability analysis system measures distances of other members using a proximity sensor worn by each member in the group, and acquires conversation data between the members using a motion sensor and a voice sensor Step, calculating the one-to-one interaction strength using the obtained conversation data, calculating the individual interaction strength using the one-to-one interaction strength data, and the one-to-one interaction strength data and the individual interaction strength data And deriving network relationships between members using the combined results.

As described above, according to the present invention, members 'interaction patterns and personal characteristics can be objectively analyzed using sensed data, and members' social competency can be improved through coaching for advantages and disadvantages of personal characteristics.

In addition, by using the calculated interaction pattern data, a member showing symptoms of alienation can be detected in advance to take action before bullying and bullying occur.

1 is a configuration diagram for explaining an interaction capability analysis system of individuals and organizations according to an embodiment of the present invention.
2 is a diagram showing voice data of three persons among data acquired by a data acquisition unit according to an embodiment of the present invention.
3 is a diagram showing speech data converted to calculate acquired data according to an embodiment of the present invention.
4 is a view showing a system for analyzing an individual's and organization's interaction capability according to an embodiment of the present invention.
5 is a diagram illustrating a network relationship within a group according to an embodiment of the present invention.
6 is a flow chart for explaining a method for analyzing the interaction capability of individuals and organizations according to an embodiment of the present invention.
7 is a view showing an individual calculated result report according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art to which the present invention pertains can easily practice. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. In addition, in order to clearly describe the present invention in the drawings, parts irrelevant to the description are omitted, and like reference numerals are assigned to similar parts throughout the specification.

Throughout the specification, when a part “includes” a certain component, this means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

Then, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art to which the present invention pertains may easily practice.

1 is a configuration diagram for explaining an interaction capability analysis system of an individual and an organization according to an embodiment of the present invention, and FIG. 2 shows voice data of three persons among data obtained from a data acquisition unit according to an embodiment of the present invention 3 is a diagram showing speech data converted to calculate acquired data according to an embodiment of the present invention.

As shown in FIG. 1, the system for analyzing the ability of individuals and organizations to interact according to an embodiment of the present invention includes a data acquisition unit 110, a one-to-one interaction calculation unit 120, an individual interaction calculation unit 130, and social It includes a network analysis unit 140.

First, the data acquisition unit 110 measures distances of other members using a proximity sensor worn by each member in the group, and acquires conversation data between members using a motion sensor and a voice sensor.

In FIG. 2, three members (Person A, Person B, and Person C) have been discussed as an example, but hereinafter, for convenience of explanation, any two members among three members are named as first members and second members. I will do it.

As shown in FIG. 2, the data acquisition unit 110 measures dialogue data between members as analog data.

Here, the analog data is a signal obtained from macroscopic nature, and the brightness of light, the height of the sound, the magnitude, or the intensity of the wind are typical examples of the analog data.

In addition, as shown in FIG. 3, since the analog data is not deteriorated or easy to process, the data acquisition unit 110 uses most of the analog data by changing it to digital data.

At this time, in order to convert the analog data into digital data, the data acquisition unit 110 converts the analog data into digital data as shown in FIG. 3 by using a Fourier transform.

Here, the Fourier transform expresses an arbitrary input signal by decomposing it into a sum of periodic functions having various frequencies, and mainly uses a Fourier transform to perform communication or signal modulation.

Next, the one-to-one interaction calculating unit 120 is a first-member communication group (Turn-taking strength) speaking to any other second member in the group, the first member reacts to any other second member Response strength, Dyadic turn-taking, Dyadic Response strength and Dyadic interactional strength are calculated.

First, the strength (Turn-taking strength) that any first member in the group speaks to any other second member is expressed by Equation 1 below.

Figure 112018069269858-pat00011

Here, i is the first member, j is the second member, Turn ij is the number of times the first member spoke to the second member,

Figure 112018069269858-pat00012
Indicates the number of times spoken among all members.

In addition, as shown in FIG. 2, the arrows indicate the order of change of the members who lead the conversation, and the number of arrows indicates the number of times the members speak.

For example,

Figure 112018069269858-pat00013
If the value of is 10 and the value of Turn ij is 3, the intensity spoken by the first member to the second member is calculated as 0.3 by Equation (1).

Next, the response strength of the second member is expressed by Equation 2 below.

Figure 112018069269858-pat00014

Here, Response V ij is the number of times the second member responded to the first member by voice, Response M ij is the number of times the second member responded to the first member in action, and Duration j is the number of times the second member speaks It means time.

In addition, as shown in FIG. 2, the part indicated by the black circle indicates that the second member responded to the first member by voice.

For example, if the Duration j value is 10 seconds, the Response V ij value is 4 times, and the Response M ij is 1 time, the response strength of the second member when the first member speaks (Response strength ij ) is It is calculated by Equation 2 at 0.5 times / second.

For another example, if the Duration j value is 10 seconds and the sum of the Response V ij value and the Response M ij value is 13, the response strength of the second member when the first member speaks (Response strength ij ) Is calculated by Equation 2 at 1.3 times / second.

The intensity of the reaction intensity of the second member with respect to the first member can be known using the value calculated by Equation (2).

Next, the dialogue intensity (Dyadic turn-taking) of each other is expressed by Equation 3 below.

Figure 112018069269858-pat00015

Here, Dyadic turn-taking ij is the communication strength between the first member and the second member, Turn-taking strength ij is the communication intensity that the first member speaks to the second member, Turn-taking strength ji is the second member Shows the intensity of communication to the first member.

For example, if the value of Turn-taking strength ij is 0.3 and the value of Turn-taking strength ji is 0.8, the dialogue strength between the first member and the second member (Dyadic turn-taking strength ij ) is It is calculated as 0.24 by Equation 3.

Next, the mutual response strength (Dyadic Response strength) is represented by the following equation (4).

Figure 112018069269858-pat00016

Here, Dyadic Response strength ij is the response strength between the first member and the second member, Response strength ij is the intensity at which the first member responds to the second member, and Response strength ji is the second member responds to the first member It is the intensity to do.

And, Response strength ij and Response strength ji The value is calculated through Equation 2 above.

That is, the value obtained by multiplying the reaction intensity between each member obtained by using Equation (2) becomes the response strength ( ij ) between the first member and the second member.

For example, if the value of Response strength ij calculated using Equation 2 is 0.5 and the value of Response strength ji is 1.3, the response strength (Dyadic Response strength ij ) between the first member and the second member is mathematical. It is calculated as 0.65 by Equation 4.

Next, the interaction strength (Dyadic interactional strength) is represented by Equation 5 below.

Figure 112018069269858-pat00017

Here, Dyadic interactional strength ij represents the interaction strength between the first member and the second member, Dyadic turn-taking strength ij is the communication strength between the first member and the second member, calculated using Equation (3) Is the value. In addition, Dyadic Response strength ij is a response strength between the first member and the second member, and is a value calculated using Equation (4).

That is, the interaction strength (Dyadic interactional strength ij ) calculates the interaction strength between the first member and the second member by using the product of the interaction strength and the interaction strength between the first member and the second member.

In addition, the individual interaction calculating unit 130 uses the data of each member belonging to the group to respond to responsiveness, biased turn-taking, biased responsive skill, and conversation participation. (Proactive participation), Persuasive communication skill, and Interactive capability are calculated.

First, the responsiveness of each member belonging to the group (Responsive capability) is represented by the following equation (6).

Figure 112018069269858-pat00018

Here, n represents the total number of members belonging to the group,

Figure 112018069269858-pat00019
Indicates the sum of the strengths of the first member responding to all members of the group.

For example, n has 10 values,

Figure 112018069269858-pat00020
If the value is 16.5 times / second, the responsiveness of the first member (Responsive capability i ) is calculated as 1.65 by Equation (6).

Next, the biased turn-taking denotes the biasedness that the first member speaks to all members, and is expressed by the following equation (7).

Figure 112018069269858-pat00021

Here, Turn-taking strength ij is a value calculated in Equation 1, which represents the communication strength that the first member speaks to other members j in the group, and Turn-taking strength i is the average that the first member speaks to other members Strength.

Next, the biased responsive skill indicates a degree of bias in which the first member responds to each member in the group, and is represented by Equation 8 below.

Figure 112018069269858-pat00022

Here, Dyadic response strength i is the average response strength corresponding to other components of the first member, and Dyadic response strength ij is the first and second member response strengths of each other, calculated using Equation 4 The intensity of the reaction between the member and the second member.

As described above, the biased responsive skill i of the first member is a value indicating which member in the group actively or biased the reaction.

Next, Proactive participation is expressed by Equation 9 below.

Figure 112018069269858-pat00023

here,

Figure 112018069269858-pat00024
Denotes the average time spoken by each member, and Duration i denotes the total time spoken by the first member.

For example, the value of Duration i is 15 seconds,

Figure 112018069269858-pat00025
When the value of is 10 seconds, the first member's proactive participation i is calculated as 1.5 by Equation (9).

Next, the degree of appeal (Persuasive communication skill) is expressed through the height and behavior of the voice during the speaking time when the first member speaks, as shown in Equation (10).

Figure 112018069269858-pat00026

Here, Pitch i means a value obtained by dividing the difference between the maximum and minimum values of the first member's pitch by the average value, and Motion i indicates the degree of movement of the first member.

For example, if the Pitch i value is 50, the Duration i value is 10 seconds, and the Motion i value is 12 times, the value of the first member's appeal level (Persuasive communication skill i ) is 60 by Equation (10). Is calculated.

Next, the interaction capability (Interactional capability) is calculated through the following equation (11).

Figure 112018069269858-pat00027

Here, the degree of appeal of the first member (Persuasive communication skill i ) is a value calculated using Equation 10, and the conversational participation degree of the first member (Proactive participation i ) is a value calculated using Equation 9.

In addition, the first member's dialogue bias (Biased turn taking i ) is a value calculated using Equation 7, and the first member's biased responsive skill i is a value calculated using Equation (8). to be.

As can be seen from Equation 11, the first member's biased turn taking i and the biased responsive skill i values are small and the first member's persuasive communication skill i If the value of Proactive participation i is large, it can be determined that the interaction ability of the first member is large.

In contrast, the first member's biased turn taking i value and the biased responsive skill i value are large, and the first member's persuasive communication skill i value and conversation participation (Proactive participation) i ) If the value is small, it can be determined that the interaction ability of the first member is small.

5 is a diagram illustrating a network relationship within a group according to an embodiment of the present invention.

As shown in FIG. 5, the network relationship diagram is shown for all members in the group based on the interaction strength calculated using Equation (5).

In addition, the interaction relationship between members may be represented according to the thickness of the line, and if the interaction strength between members is high, it is represented by a thick line, and if the interaction strength between members is small, it is represented by a thin line.

Also, if the interaction strength between members in a group cannot be calculated, it is not expressed.

Next, the social network analysis unit 140 derives a network bridging capability and a group of interactional aliens using the network relationship diagram of the group.

First, network bridging capability indicates a degree of connection of a corresponding member with other members in a group, as shown in Equation (12).

Figure 112018069269858-pat00028

Here, Number of the first and second degree connected member of person i represents the number of members reachable through 1 or 2 connections from the member.

As shown in FIG. 5, if the total number of members is 18 and the number of members reachable through the first or second stage connection from the first member is 7, the network capability is calculated as 0.41 by Equation (12). .

At this time, if the calculated network capability is high, the corresponding member is judged to have a smooth relationship with other members, and if the calculated network capability is low, it is determined that the relationship with other members is not smooth.

Next, the group of interactional alien (Symptom of interactional alien) is represented by the following equation (13).

Figure 112018069269858-pat00029

Here, Number of connected members of person i is the number of members directly connected to the member, and Sum of interactional strength of person i represents the sum of members' interaction strength.

As shown in FIG. 5, assuming that the number of directly connected members from the first member is two, and the sum of interaction strengths of the connected members is 3.4, the degree of group alienation is calculated by Equation 13 to 6.8.

In particular, if the value of the calculated group alienation level is low, it is determined that a lot of alienation occurs within the group.

Next, FIG. 6 is a flow chart for explaining a method of analyzing an individual's and organization's interaction capability according to an embodiment of the present invention, and FIG. 7 is a view showing an individual calculated result report according to an embodiment of the present invention.

First, as shown in FIG. 6, the data acquisition unit 110 determines whether group members exist within a set distance using a proximity sensor (S610).

At this time, the set distance is the maximum distance that people can have a conversation with, and it is determined that the conversation is not performed if no member exists within the set distance.

If the proximity sensor determines that the member exists within the set distance, the data acquisition unit 110 acquires the conversation data using the motion sensor and the voice sensor (S620).

Next, the one-to-one interaction calculator 120 calculates the one-to-one interaction intensity using the data acquired from each sensor (S630).

At this time, one-to-one interaction intensity is calculated using Equations 1 to 5 described above.

That is, the first member in the group speaks to any other second member (Turn-taking strength), the second member's response strength (Response strength), mutual dialogue strength (Dyadic turn-taking), mutual The response strength (Dyadic Response strength) and the interaction strength (Dyadic interactional strength) of is calculated using Equations 1 to 5.

The individual interaction calculating unit 130 calculates the individual interaction strength using the result calculated by the one-to-one interaction calculating unit 120 (S640).

At this time, the individual interaction calculating unit 130 calculates the individual interaction strength using Equations 6 to 11 described above.

That is, using the data of each member belonging to the group, responding capability, biased turn-taking, biased responsive skill, conversational participation, proactive participation, and degree of appeal ( Persuasive communication skill) and interaction capability are calculated using Equations 6 to 11

As illustrated in FIG. 7, various types of individual reports are generated according to the result of the calculation by the individual interaction calculating unit 130.

Then, the social network analysis unit 140 integrates the results calculated by the one-to-one interaction calculation unit 120 and the individual interaction calculation unit 130, and derives a network relationship between members in the group using the integrated result ( S660).

That is, the social network analysis unit 140 derives a network bridging capability and a group of interaction aliens among members in the group.

As described above, according to the present invention, members 'interaction patterns and personal characteristics can be objectively analyzed using sensed data, and members' social competency can be improved through coaching for advantages and disadvantages of individual interaction characteristics. have.

In addition, by using the calculated interaction pattern data, a member showing symptoms of alienation can be detected in advance to take action before bullying and bullying occur.

Although the present invention has been described with reference to the embodiments shown in the drawings, these are merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: personal and organizational competency analysis system, 110: data acquisition unit,
120: one-to-one interaction calculation unit, 130: individual interaction calculation unit,
140: social network analysis department

Claims (12)

  1. In the system for analyzing the interaction capability of individuals and organizations using sensor data,
    A data acquisition unit that measures the distance of other members using a proximity sensor worn by each member in the group, and acquires conversation data between the members using a motion sensor and a voice sensor,
    A one-to-one interaction calculator that calculates a one-to-one interaction intensity using the acquired conversation data,
    An individual interaction calculator that calculates an individual interaction strength using the one-to-one interaction strength data, and
    And a social network analysis unit that integrates the one-to-one interaction strength data and individual interaction strength data, and derives a network relationship between members using the combined result,
    The social network analysis unit,
    An individual and organization capability analysis system that derives network bridging capability and group of interactional aliens using the network relationship diagram of the group and the following equation.
    Figure 112019125887533-pat00052

    Figure 112019125887533-pat00053

    Here, Number of the first and second degree connected member of person i is the number of members reachable through 1 or 2 connections from the member, and Number of connected members of person i is the number of members directly connected to the member And Sum of interactional strength of person i is the sum of the members' interaction strengths.
  2. According to claim 1,
    The one-to-one interaction operation unit,
    An individual and organizational competency analysis system that calculates the turn-taking strength and the response strength of the second member that any first member in the group speaks to any other second member:
    Figure 112019125887533-pat00030

    Figure 112019125887533-pat00031

    Here, i is the first member, j is the second member, Turn ij is the number of times the first member spoke to the second member,
    Figure 112019125887533-pat00032
    Is the number of times spoken among all members, Response V ij is the number of times the second member responded to the first member negatively, Response M ij is the number of times the second member responded to the first member in action, Duration j represents the time when the second member is speaking.
  3. According to claim 2,
    The one-to-one interaction operation unit,
    Personal and organizational competency analysis system that further calculates Dyadic turn-taking, Dyadic Response strength, and Dyadic interactional strength as shown in the following equation:
    Figure 112019125887533-pat00033

    Here, Dyadic turn-taking strength ij is the degree of conversation between the first member and the second member, Turn-taking strength ij is the communication strength that the first member speaks to the second member, Turn-taking strength ji is the second member The communication strength, Dyadic Response strength ij , speaking to the first member is the reaction intensity between the first member and the second member, and the Dyadic interactional strength ij is the interaction intensity between the first member and the second member.
  4. According to claim 3,
    The individual interaction calculation unit,
    Personal and organizational competency analysis system that calculates response capability, biased turn-taking, and biased responsive skill using data of each member belonging to the group:
    Figure 112019125887533-pat00034

    Here, n is the total number of members, Turn-taking strength i is the average strength that the first member speaks to other members, and Dyadic response strength i is the average response intensity that the first member corresponds to different configurations.
  5. The method of claim 4,
    The individual interaction calculation unit,
    Personal and organizational competency analysis system that further calculates conversation participation, persuasive communication skill, and interactive capability using the data of the members:
    Figure 112019125887533-pat00035

    Here, Pitch i means a value obtained by dividing the difference between the maximum and minimum values of the height of the personal voice by an average value, and Motion i represents the degree of movement of each member.
  6. delete
  7. In the method of analyzing the competency of individuals and organizations using the personal and organizational competency analysis system,
    Measuring distances of other members using a proximity sensor worn by each member in the group, and acquiring conversation data between the members using a motion sensor and a voice sensor;
    Calculating a one-to-one interaction intensity using the acquired conversation data,
    Calculating an individual interaction intensity using the one-to-one interaction intensity data, and
    Incorporating the one-to-one interaction strength data and individual interaction strength data, and deriving a network relationship between members using the combined result,
    Deriving a network relationship between the members,
    Method for analyzing individual and organizational competency of network bridging capability and group of interactional alien using the network relationship diagram of the group and the following equation.
    Figure 112019125887533-pat00054

    Here, Number of the first and second degree connected member of person i is the number of members reachable through 1 or 2 connections from the member, and Number of connected members of person i is the number of members directly connected to the member And Sum of interactional strength of person i is the sum of the members' interaction strengths.
  8. The method of claim 7,
    Computing the one-to-one interaction strength,
    An individual and organizational competency analysis method for calculating the turn-taking strength and response strength of the second member that any first member in the group speaks to any other second member:
    Figure 112019125887533-pat00038

    Figure 112019125887533-pat00039

    Here, i is the first member, j is the second member, Turn ij is the number of times the first member spoke to the second member,
    Figure 112019125887533-pat00040
    Is the number of times spoken among all members, Response V ij is the number of times the second member responded to the first member negatively, Response M ij is the number of times the second member responded to the first member in action, Duration j represents the time when the second member is speaking.
  9. The method of claim 8,
    Computing the one-to-one interaction strength,
    Individual and organizational competency analysis methods that further calculate Dyadic turn-taking, Dyadic Response strength, and Dyadic interactional strength as shown in the following equation:
    Figure 112019125887533-pat00041

    Here, Dyadic turn-taking strength ij is the degree of conversation between the first member and the second member, Turn-taking strength ij is the communication strength that the first member speaks to the second member, Turn-taking strength ji is the second member The communication strength, Dyadic Response strength ij , speaking to the first member is the reaction intensity between the first member and the second member, and the Dyadic interactional strength ij is the interaction intensity between the first member and the second member.
  10. The method of claim 9,
    The step of calculating the intensity of the interaction for each individual,
    Individual and organizational competency analysis method for calculating response capability, biased turn-taking, and biased responsive skill using data of each member belonging to the group:
    Figure 112019125887533-pat00042

    Here, n is the total number of members, Turn-taking strength i is the average strength that the first member speaks to other members, and Dyadic response strength i is the average response intensity that the first member corresponds to different configurations.
  11. The method of claim 10,
    The step of calculating the individual interaction intensity,
    Individual and organizational competency analysis method to further calculate conversational participation, persuasive communication skill, and interactive capability using the data of the members:
    Figure 112019125887533-pat00043

    Here, Pitch i means a value obtained by dividing the difference between the maximum and minimum values of the height of the personal voice by the average value, and Motion i represents the degree of movement of each member.
  12. delete
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008176573A (en) * 2007-01-18 2008-07-31 Hitachi Ltd Interaction data display device, processor and display method
KR101559364B1 (en) * 2014-04-17 2015-10-12 한국과학기술원 Mobile apparatus executing face to face interaction monitoring, method of monitoring face to face interaction using the same, interaction monitoring system including the same and interaction monitoring mobile application executed on the same

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008176573A (en) * 2007-01-18 2008-07-31 Hitachi Ltd Interaction data display device, processor and display method
KR101559364B1 (en) * 2014-04-17 2015-10-12 한국과학기술원 Mobile apparatus executing face to face interaction monitoring, method of monitoring face to face interaction using the same, interaction monitoring system including the same and interaction monitoring mobile application executed on the same

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