JP4911081B2 - Information processing apparatus and program - Google Patents

Description

  The present invention relates to an information processing apparatus and a program.

  Conventionally, it is possible to specify where a meeting where two or more persons gather together in the same place such as a meeting or a meeting is performed by using, for example, RFID (Radio Frequency Identification) technology or positioning technology. it can. As a result, the frequency and time of meetings, the contents of meetings, and the like can be measured and used to analyze the communication characteristics of individuals and organizations. Such communication between individuals and organizations may be influenced not only by individual characteristics, organizational policies, meetings, and human factors, but also by factors such as the characteristics of the location where the meetings are held.

Japanese Patent No. 3858569 JP 2001-184375 A JP 2004-127063 A JP 2006-260102 A JP 2007-219787 A

  However, in the past, the individual communication characteristics were calculated based on the actual results of the meetings in which each individual participated, without considering the factor of the location characteristics. It is not always true that the indicator of whether or not it was influenced by

  An object of the present invention is to extract the influence of a place on communication of an individual or an organization.

The information processing apparatus according to the present invention, the identification information of the location, the position for storing the identification information of the user who located in such location, the location information where the user is generated in association with location and time information, the Information storage means and meeting information generation means for generating meeting information including the place where the meeting was held, the user who participated in the meeting , and the meeting time by counting the position information stored in the position information storage means And an activity indicating the activity level of the meeting corresponding to the meeting information by analyzing the meeting information corresponding to the place specified as the analysis range and the reception means for receiving the user and the user specified as the analysis range. Characteristics of the relationship indicating the diversity of users gathered in the meeting corresponding to the meeting information or the relationship of users gathered in the meeting corresponding to the meeting information. At least one characteristic element among a first calculating means for calculating as a communication characteristics based on the association record of the user specified as the analysis range, by analyzing the position information corresponding to the location specified as the analysis range At least the first calculation means obtains the degree of activity indicating the degree of activity of the place, the diversity of users gathered at the place , or the relation showing the relationship of users gathered at the place. By calculating the location characteristic calculation means for calculating the characteristic element and the location information stored in the location information storage means, the number of visits to the location specified as the analysis range by the user specified as the analysis range is obtained. from the unit, the number of visits, the characteristic element showing the characteristics of the obtained location by the location characteristic calculating means, at least the first The same characteristic element and the calculation means determine the, second calculating means for calculating as a communication characteristics based on the characteristics of the location of the user specified as the analysis range, obtained by the first calculating means, analyzing area Output means for outputting a communication characteristic based on the user's meeting performance designated by the second calculation means and a communication characteristic based on the user's location characteristic determined by the second calculation means.

The program according to the present invention stores position information generated by associating identification information of a place, identification information of a user located in the place, and information of a time when the user is located. A meeting which generates meeting information including the place where the meeting was held, the user who participated in the meeting , and the meeting time by counting the position information stored in the position information storage means with a computer accessible to the means information generating means, the specified location as the analysis range, and, receiving means for receiving user, by analyzing the associated information corresponding to the user specified as the analysis range, indicating the degree of activation association corresponding to the association information Activity, diversity of users gathered in the meeting corresponding to the meeting information, or relationship of users gathered in the meeting corresponding to the meeting information Location information of at least one characteristic element of the characteristic element of to relationship, first calculating means for calculating as a communication characteristics based on the specified user meetings proven analytical range, corresponding to the specified location as the analysis range At least the first calculation means among the activity indicating the activity level of the place, the diversity of users gathered in the place, or the relationship showing the relationship of users gathered in the place By calculating the location characteristic calculation means for calculating the same characteristic element as calculated by the position information storage means, by analyzing the position information stored in the position information storage means, the user specified as the analysis range to the location specified as the analysis range It means for determining the visits, and the number of visits, and a resultant location of the characteristic element showing characteristics by the location characteristic calculation means, The same characteristic element as required by the first computing means even without a second calculating means for calculating as a communication characteristics based on the characteristics of the location of the specified user as the analysis range, determined by the first computing means and it is intended to function as an output unit, which outputs the communication characteristics based on the characteristics of the location of the user obtained by the communication characteristic and the second calculation means based on the specified user's associated proven analytical range .

  According to the first aspect of the invention, whether the communication of individuals communicating with various departments has been affected as a result of a certain place, or is due to the personal characteristics inherent to the person. It is possible to provide an index for measures for designing and improving a place and utilizing the place.

Further, according to the first aspect of the present invention, it is possible to allow a user to conduct a study in accordance with the purpose and situation of the organization by carrying out by limiting to a specific user or location, not all users or locations in the organization. be able to.

According to the second aspect of the present invention, whether or not the communication of individuals communicating with various departments on the computer is affected as a result of a certain place, or the personal characteristics that the person originally has It is possible to estimate whether or not it is due to the above, and it is possible to provide an index for measures for design and improvement of the place and utilization of the place.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a diagram showing a hardware configuration example of a computer forming the information processing apparatus 20 according to the present invention. The computer forming the information processing apparatus 20 in the present embodiment can be realized with a general-purpose hardware configuration that has existed in the past. That is, as shown in FIG. 1, the computer is provided with a CPU 1, a ROM 2, a RAM 3, an HDD controller 5 connected to a hard disk drive (HDD) 4, a mouse 6 and a keyboard 7 provided as input means, and a display device. An input / output controller 9 for connecting each display 8 and a network controller 10 provided as a communication means are connected to an internal bus 11.

  FIG. 2 is a block diagram showing an embodiment of the information processing apparatus 20 according to the present invention. The information processing apparatus 20 includes a position information registration unit 21, a meeting information generation unit 22, an analysis range reception unit 23, a first communication characteristic calculation unit 24, a place characteristic calculation unit 25, a second communication characteristic calculation unit 26, and a characteristic display. A portion 27 is provided. The information processing apparatus 20 includes a personal / organization information storage unit 31 and a location information storage unit 32 in which necessary information is stored in advance. Further, a position information storage unit 33, a location characteristic information storage unit 34, and a communication characteristic information storage unit 35 in which information generated in the course of processing is recorded are shown.

  When a user is detected at any location by a detection sensor (not shown), the location information registration unit 21 identifies the location (location ID) of the location and the identification information (user ID) of the user located at the location. The position information is generated by associating with the information of the time the user is located, and is written in the position information storage unit 33. The meeting information generation unit 22 generates meeting information including the place where the meeting is held, the participants, and the meeting time by counting the position information stored in the position information storage unit 33. The analysis range receiving unit 23 receives a location, a user, and a time specified as an analysis range by an analyst from a predetermined display screen (not shown). The first communication characteristic calculation unit 24 calculates the characteristic of the place where each user is located by analyzing the meeting information. In the present embodiment, when the analysis range receiving unit 23 receives the analysis range, the meeting information corresponding to the user specified in the analysis range is analyzed to calculate the characteristics of the place where the user is located. The place characteristic calculation unit 25 calculates the characteristic of the place designated as the analysis range by analyzing the position information stored in the position information storage unit 33, and writes the calculation result in the communication characteristic information storage unit 35. The second communication characteristic calculation unit 26 calculates the characteristic of the place where the user is located from the position information stored in the position information storage unit 33 and the place characteristic obtained by the place characteristic calculation unit 25. In the present embodiment, when the analysis range receiving unit 23 receives the analysis range, the user is located from the location information corresponding to the user specified in the analysis range and the location characteristics obtained by the location property calculation unit 25. The characteristic of the place is calculated, and the calculation result is written in the communication characteristic information storage unit 35. The characteristic display unit 27 displays the individual communication characteristics obtained by the communication characteristic calculation units 24 and 26 on the display 8.

  In the personal / organization information storage unit 31, personal information of employees who can be users of the facility and information on the organization that uses the facility are registered in advance. The personal information includes the name of the employee, the user ID, the ID of the employee ID card carried, the department to which the employee belongs. If a visitor ID equivalent to an employee ID is handed over to a facility visitor even if it is not an employee, information related to the visitor may also be managed. The information on the organization includes information that can identify the organizational structure such as the hierarchical relationship of each department, information on the departments constituting the organization and employees who belong to each department. In the location information storage unit 32, names and identification information (ID) assigned to each location for determining locations such as a conference room or an open space where a meeting can be performed are registered.

  Each component 21 to 27 in the information processing apparatus 20 is realized by a cooperative operation of a computer that forms the information processing apparatus 20 and a program that operates on the CPU 1 mounted on the computer. Further, each of the storage units 31 to 35 is realized as the HDD 4 mounted on the information processing apparatus 20.

  Further, the program used in this embodiment can be provided not only by communication means but also by storing it in a computer-readable recording medium such as a CD-ROM or DVD-ROM. The program provided from the communication means or the recording medium is installed in the computer, and various processes are realized by the CPU 1 of the computer sequentially executing the installation program.

  Next, the operation in this embodiment will be described.

  In this embodiment, users such as employees and visitors who use facilities that are within the scope of management, when moving within the facility, an employee ID (visitor ID in the case of a visitor; "Employee ID" is a generic name). The employee ID includes a wireless tag that transmits information such as an employee number that can identify each individual (in this example, “user ID”). When the detection sensor installed at each place in the facility receives a transmission signal from the employee ID card carried by each user, the detection sensor transmits it to the position information registration unit 21 together with the detection time. When the position information registration unit 21 receives a signal transmitted from the detection sensor, the position information registration unit 21 holds each detection from the identification information (sensor ID) of the detection sensor that is the transmission source. The location where the user is detected is identified by referring to the information for identifying the installation location of the sensor, and the location information, the detection time and the detected user ID of the detected user are paired and registered in the location information storage unit 33. To do. The process performed by the location information registration unit 21 is a process that is always executed separately from the process described later.

  In the present embodiment, it has been described that the detection sensor is installed at each place and the employee ID is automatically detected without making the user aware of it. However, for example, a reading sensor for the employee ID is installed at the entrance / exit of the conference room. The user may be allowed to detect the location of the user by performing an action according to a predetermined rule. In the present embodiment, it is only necessary to be able to detect when and who is where by any method.

  Note that “meeting” in the present embodiment refers to an act of two or more persons gathering at the same place, such as a meeting or a meeting. In addition, “communication” refers to an action such as a conversation performed by a user in a meeting place.

  Hereinafter, description will be made with reference to the flowchart of FIG. 3 showing processing for obtaining personal communication characteristics in the present embodiment.

  First, when a specified condition such as when (period), who (target person), and where (location) is specified from a predetermined setting screen (not shown), the analysis range receiving unit 23 Accepts the input condition as an analysis range (step 110). The time is basically designated by the range, and the individual user ID is designated as the target person, and the place ID that can identify the meeting room or open space where the meeting is held is designated as the place. . The analyst who sets the analysis range may directly input the user ID and the place ID, but in this embodiment, the user ID that can be selected from the personal / organization information storage unit 31 and the location information storage unit 32, respectively. The location ID is displayed as a list on the screen and can be specified by allowing the analyst to select it. Further, as a target person, a department may be selected in addition to one individual. In this case, all the users belonging to the selected department are the analysis target persons described below.

  Subsequently, the meeting information generation unit 22 extracts position information corresponding to the analysis range specified by the analyst from the position information accumulated in the position information storage unit 33, and analyzes the extracted position information. Then, it is specified at which location and by which member the meeting was held (step 120). Specifically, meeting information is generated by associating the meeting ID assigned in association with the held meeting with the meeting execution period and the user ID of the user who participated in the meeting. Then, the second communication characteristic calculation unit 26 and the first communication characteristic calculation unit 24 calculate the personal characteristic according to the calculation method described later based on the generated meeting information. It should be noted that the processing performed by the location characteristic calculation unit 25 and the second communication characteristic calculation unit 26 and the processing performed by the first communication characteristic calculation unit 24 may be performed either in parallel or in parallel. However, in the flowchart, the processes performed by the location characteristic calculation unit 25 and the second communication characteristic calculation unit 26 are illustrated in the above. Here, the process (step 130) in the place characteristic calculation unit 25 will be described.

  FIG. 4 is a block configuration diagram of the location characteristic calculation unit 25 in the present embodiment.

  First, since there may be a plurality of characteristics of a plurality of places, or communication characteristics calculated based on place characteristics and meeting results, the characteristics may be categorized and obtained for each category. Here, as an example, a calculation method of place characteristics when categorized into three characteristic elements of activity, diversity, and relationship will be shown. FIG. 4 shows a block configuration diagram of the location characteristic calculation unit 25 in the case of categorization into these three categories. As shown in FIG. 4, the location characteristic calculation unit 25 includes an activity calculation unit 251, a diversity calculation unit 252, a relationship extraction unit 253, a relationship calculation unit 254, a location characteristic information registration unit 255, and a relationship storage unit 256. And a location characteristic element storage unit 257. The processing of each component 251 to 255 will be described below. As described above, the location characteristic calculation unit 25 is realized by a program. Of course, the information regarding the relationship and the location characteristic element may be temporarily stored in the program. However, the means for storing the information is the relationship storage unit 256 and the location characteristic using the HDD 4. You may make it implement | achieve by the element memory | storage part 257. FIG.

  In the present embodiment, the degree of activity means the degree of activity of each place determined based on the user's residence time at each place, the frequency of entry / exit within a certain time, and the like. Note that the categories of activity, diversity, and relationship can be conceptually expressed as shown in FIG. Here, an example of the activity calculated by the activity calculation unit 251 will be described in more detail with reference to FIG.

  FIG. 6 shows a diagram in which the user is on the vertical axis and time is on the horizontal axis. When calculating place characteristics, all users are subject to processing. Here, six users (user IDs: A to F) are illustrated for convenience. The time is the specified period received by the analysis range receiving unit 23. In FIG. 6, the processing target period is 6 squares (here, 1 square 15 minutes is 1 hour 30 minutes). The location α is also designated by the analyst. Of course, the analyst may specify a plurality of locations as processing targets. Then, the location / absence of each user at the location α in the time zone of one square is represented with reference to the corresponding position information and meeting information. According to FIG. 6, for example, the user A can grasp that he / she stayed at the place α for 30 minutes from the beginning of the analysis target period and then returned and stayed for the last 15 minutes. In addition, the user C can grasp that he / she has moved back 15 minutes after starting the designated period and stayed at the location α for 15 minutes, and then re-entered after 15 minutes and stayed only for 30 minutes.

  Now, referring to the entrance / exit state illustrated in FIG. 6, since the total number of periods (mass) located in any place by all users is 15, the residence time of place α is 15 minutes × 15. = 225 minutes can be calculated. Moreover, as the frequency of entry / exit, for example, the following activity is obtained. In other words, the number of increase in the number of people staying at the place α is 8 for the users A, B, D, and F once, and for the users C and E twice each. Note that the number of users A and B who have stayed from the beginning is not added to the number. Moreover, the count number of the reduction | decrease of the person who stayed in the place (alpha) is 8 in total, the user A and D once each and the user B, C, and E twice. Note that the number of users A and F who have stayed until the end is not added to the number. According to the index of the frequency of entry / exit, the fact that the number of users entering and exiting is large can be considered that the degree of activity at the location α is so high. When the activity calculation unit 251 obtains such an index value as the activity, the activity calculation unit 251 writes the calculation result in the place characteristic information storage unit 34.

  Next, diversity means the diversity of users gathered at each location required based on individual attribute values, such as the user's organization, job type, and position. Here, an example of diversity required by the diversity calculation unit 252 will be described in more detail with reference to FIG.

  The diversity calculation unit 252 according to the present embodiment identifies a user who was located within the analysis target period at a location corresponding to the analysis range received by the analysis range reception unit 23, and stores the personal / organization information storage unit 31. By referring to the attribute values, the attribute values included in the personal information of each identified user are tabulated. The graph shown in FIG. 7A represents the result of counting for each job type as an attribute. Here, as a result of the aggregation, it can be said that a large number of attributes means that there are users of various positions in the location α, and thus the diversity can be regarded as high. In addition to the position, it may be aggregated by job type or department. Further, the graph shown in FIG. 7B is an example of a case where diversity is determined using variance as an index value instead of a mere aggregate value. In addition to the variance, an average value, variance, median value, and the like may be calculated. When the diversity calculation unit 252 obtains such an index value as diversity, the diversity calculation unit 252 writes the calculation result in the place characteristic information storage unit 34. Note that when a plurality of different attributes are combined to obtain an index of variation, the attributes may be weighted with a coefficient or the like.

  Next, the relationship means a relationship between users gathered at each place determined based on a network index such as a density calculated from the formed interpersonal relationship, reachable distance, and the like. For example, as shown in FIG. 6 used for the description of the activity level, when a user is located at the location α, the result of tabulating from the viewpoint of the relationship is shown in FIG. For example, since the user A shares the location α with the user B for two squares, “2” is set in the table. Similarly, since the user A shares the location α with the user C for one square, “1” is set in the table. In other words, the larger the number, the higher the relationship. The relationship extraction unit 253 completes the table by counting the relationships between the users.

  FIG. 9 is a conceptual diagram showing an example in which the relationship is obtained by another index. FIG. 9 shows an example of a case where the user's relationship is obtained for each divided time (mass) when the user stays at the location α as shown in FIG. 6 used for explaining the activity. . That is, FIG. 8 calculates the frequency in the specified period, but the method of FIG. 9 extracts time-series data so that changes in time can be grasped. That is, the relationship extraction unit 253 creates a table similar to FIG. 8 for each cell, instead of one for the entire analysis target period.

  In FIG. 9, the time width for extracting the time series data is set to one square, but a plurality of squares may be handled collectively. In other words, in FIG. 9, the first time width is t1, the next time width is t2, and each square is set. However, the first time width is t1, t2, and the next time width is t3, t4. Thus, the time width may be set with two squares or more squares. This indicator does not actually share the location α, but considers the fact that it stayed at the same location α in the previous and next time series as the occurrence probability of the interpersonal relationship promoted by the location, and the time series of the interpersonal relationship Data is extracted. In addition, when the time width for extracting time-series data is composed of a plurality of squares, the squares included in each time width may overlap. That is, in FIG. 9, the time width may be set such that the first time width is t1, t2, and the next time width is t2, t3.

  Thus, when the relationship of each user in the specified time range of the specified location is extracted from the position information, the relationship extraction unit 253 writes the extraction result in the relationship storage unit 256. Then, the relationship calculation unit 254 inputs the relationship data stored in the relationship storage unit 256, calculates the relationship (index) for each location using a known technique such as social network analysis, and the result Is written in the location characteristic element storage unit 257. The relationship result obtained by the relationship calculation unit 254 is shown in FIG. In the above description, α is exemplified as the location, but in this table, locations a to e are shown. Also, from this table, it can be understood that density, order centering tendency, mediation centering tendency, and the like are used as indices representing the characteristics of the relationship.

  The location characteristic information registration unit 255 aggregates each index data of activity, diversity, and relationship written in the location characteristic element storage unit 257 for each category by average, total, weighted average / total, normalization, etc. Alternatively, activity, diversity, and relationship are obtained by representing with one index. And it converts so that the index of each category can be expressed by the value of 0-10. The result obtained by this processing is shown in FIG. The location characteristic information registration unit 255 registers the location characteristic data obtained in this way in the location characteristic information storage unit 34.

  In step 130, when the place characteristic calculation unit 25 obtains the place characteristic as described above, the second communication characteristic calculation unit 26 refers to the place characteristic and determines the personal communication characteristic as follows. Obtain (step 140).

  First, the second communication characteristic calculation unit 26 totals the number of visits to each place of the user A specified in the analysis range received by the analysis range reception unit 23 by searching for position information. The total result is shown in FIG. In addition, although the case where only one person is designated is taken as an example here, when a plurality of users are designated, the processing described below may be performed for other users than the user A. Here, the location characteristics obtained based on the location information of all the users are shown in FIG. 11, but in this embodiment, for a certain individual i, the number of visits is multiplied by each index of all the location characteristics visited. By adding together, the communication characteristic of the individual i is calculated. This is expressed by the following equation.

Communication characteristics of individual i (activity, diversity, relationship) = (activity of Σ place j * number ij, diversity of Σ place j * number ij, relation of Σ place j * number ij)

  Here, Σ is the total from 1 to n (the number of places) for i, and the number of times ij is the number of visits to the place j of the individual i. With reference to the data setting examples in FIGS. 11 and 12, the activity of user A can be calculated as (5 × 3 + 10 × 7 + 3 × 5 + 5 × 10 + 2 × 3) = 156 using this equation. Similarly, it can be calculated that diversity = 153 and relationship = 221. Therefore, the communication characteristic of the user A is obtained as (156, 153, 221). The second communication characteristic calculation unit 26 registers the communication characteristic of the person to be analyzed (individual i) thus obtained in the communication characteristic information storage unit 35.

  Here, the personal communication characteristics are calculated for all the locations a to e as processing targets, but the processing target location is a location designated by the analyst and received by the analysis range receiving unit 23.

  While the individual communication characteristics are obtained from the place characteristics as described above, the first communication characteristic calculation unit 24 uses the meeting information generated by the meeting information generation unit 22 as follows for each individual participation. The communication characteristics of the meeting thus obtained are calculated (step 150).

  That is, the first communication characteristic calculation unit 24 calculates the location characteristics of the user A from the meeting results at each location of the user A specified in the analysis range received by the analysis range reception unit 23. The meeting result of user A can be acquired from the meeting information. In addition, the first communication characteristic calculation unit 24 also calculates the place characteristics in three categories of activity, diversity, and relationship so that the comparison with the place characteristics obtained by the place characteristic calculation unit 25 is easy. To do. Here, referring to the meeting information, personal information, and organization information, the individual meeting total time is the degree of activity, the number of job titles and the number of occupations that the individual meets through the meeting, and the individual meets through the meeting. The number of people who have been asked as relationships. The calculation results are shown in FIG. In addition, although the case where only one person is designated is taken as an example here, when a plurality of users are designated, the processing described below may be performed for other users than the user A.

  Subsequently, the first communication characteristic calculation unit 24 calculates the communication characteristic of the individual i using the following equation.

Personal i communication characteristics (activity, diversity, relationship) = (activity characterized by Σmeeting k, diversity characterized by Σmeeting k, relationship characterized by Σmeeting k)

  Where Σ is the sum of the values for all meetings for k (number of meetings). Referring to the data setting example in FIG. 13, the activity of user A can be calculated as (17 + 23 + 43 + 32 + 50) = 165 using this equation. Similarly, it can be calculated that diversity = 29 and relationship = 127. Therefore, the communication characteristics of the individual user A based on the meeting results can be obtained as (165, 29, 127). The first communication characteristic calculation unit 24 registers the communication characteristic thus obtained in the communication characteristic information storage unit 35.

  Here, the meeting and the place are associated with each other one by one, and the personal communication characteristics are calculated for all the meetings (places) a to e. However, the place to be processed is designated by the analyst. The location received by the analysis range receiving unit 23.

  When the individual communication characteristics are calculated from the location characteristics and the meeting results as described above, the characteristic display unit 27 reads out each communication characteristic from the communication characteristic information storage unit 35 and is easy for an administrator to compare and examine. The form is displayed (step 160).

  FIG. 14 is a diagram illustrating an example of a display screen generated by the characteristic display unit 27. The graph shown in FIG. 14 shows the category of diversity as the vertical axis for the communication characteristics based on the meeting results obtained by the first communication characteristic calculation unit 24 and the place characteristic obtained by the second communication characteristic calculation unit 26. Among the communication characteristics based on this, the category of diversity is also designated on the horizontal axis. In addition, an example is shown in which the communication characteristics of each individual designated by the analyst are displayed in the coordinates. The analyst can estimate the relationship between the variety of personal communication and the location by referring to the display content. For example, it is assumed that the analyst selectively designates only a place according to a specific function such as a conference room or an open space as a place designated for the analysis range. For example, if a place such as an open space is designated as an analysis place and a graph as shown in FIG. 14 is obtained, the analyst can refer to the display contents to determine the diversity of personal communication. It is possible to estimate whether this is caused by the problem or not, and take future measures.

  As a specific example, the group surrounded by a circle 41 at the lower left of the graph is a group that takes into account open space and low diversity that does not take into account, but for users included in this group, It can be seen that measures should be taken to encourage the use of open spaces according to the diversity expected in the organization. Diversity taking open space into account is represented by the horizontal axis, and diversity without taking open space into account is equivalent to diversity based on previous meetings, so the vertical axis represents high and low.

  In addition, the group surrounded by the circle 42 in the upper left of the graph is a group that has low diversity taking into account open space and high diversity without taking into account, but for users included in this group, use open space. Although it is not done, diversity is high, so it can be judged that diversity is high as a whole.

  In addition, the group surrounded by the circle 43 at the lower right of the graph is a group that has high diversity with open spaces and low diversity that does not take into account, but for users included in this group, there are open spaces. Encourage consideration of measures to function effectively for ensuring diversity.

  In addition, the group surrounded by a circle 44 on the upper right of the graph is a highly diverse group that does not take into account the diversity that takes into account the open space. May have led to diversity in If there are too few hits, it can be a problem.

  Here, diversity is taken as an example of the category representing the place characteristics, but naturally, it may be activity or relationship. Further, even when the analyst designates a department instead of an individual as the target person designated for the analysis range, the same comparison result is displayed.

It is the figure which showed the hardware structural example of the computer which forms the information processing apparatus which concerns on this invention. It is a block block diagram of the information processing apparatus in this Embodiment. It is the flowchart which showed the process which acquires an individual's communication characteristic in this Embodiment. It is a block block diagram of the place characteristic calculation part in this Embodiment. It is the conceptual diagram expressing the activity, diversity, and relationship which are the characteristic elements of communication in this Embodiment. It is a figure used in order to demonstrate an example of the activity which an activity calculation part asks for in this embodiment. It is a figure used in order to demonstrate an example of the diversity which a diversity calculation part calculates | requires in this Embodiment. It is a figure used in order to demonstrate an example of the relationship which a relationship extraction part obtains in this Embodiment. It is a figure used in order to demonstrate the example of the other relationship which a relationship extraction part obtains in this Embodiment. It is a figure used in order to demonstrate an example of the relationship which a relationship calculation part calculates | requires in this Embodiment. It is the figure which showed an example of the processing result which the place characteristic calculation part in this Embodiment calculated | required. It is the figure which showed the result of having totaled the frequency | count of the visit to each place of the user by the 2nd communication characteristic calculation part in this Embodiment. It is the figure which showed the individual communication characteristic based on the meeting performance which the 1st communication characteristic calculation part in this Embodiment calculated | required. It is the figure which showed the example of a screen display by the characteristic display part in this Embodiment.

Explanation of symbols

  1 CPU, 2 ROM, 3 RAM, 4 hard disk drive (HDD), 5 HDD controller, 6 mouse, 7 keyboard, 8 display, 9 input / output controller, 10 network controller, 11 internal bus, 20 information processing device, 21 position information Registration unit, 22 meeting information generation unit, 23 analysis range reception unit, 24 first communication characteristic calculation unit, 25 place characteristic calculation unit, 26 second communication characteristic calculation unit, 27 characteristic display unit, 31 personal / organization information storage , 32 Location information storage unit, 33 Location information storage unit, 34 Location characteristic information storage unit, 35 Communication characteristic information storage unit, 251 Activity calculation unit, 252 Diversity calculation unit, 253 Relationship extraction unit, 254 Relationship calculation Part, 255 place characteristic information registration part, 256 Relationship storage unit, 257 Location characteristic element storage unit.

Claims (2)

And location identification information, the identification information of the user who located in such location, the positional information storage means for the user to store the location and time information, the position information generated by associating a
Meeting information generating means for generating meeting information including the place where the meeting was held, the user who participated in the meeting , and the meeting time by counting the position information stored in the position information storage means;
A place designated as an analysis range, and a receiving means for receiving a user;
By analyzing the meeting information corresponding to the user specified as the analysis range, the activity indicating the activity level of the meeting corresponding to the meeting information, the diversity of users gathered in the meeting corresponding to the meeting information, or A first calculation for calculating at least one characteristic element among the characteristic elements of the relationship indicating the relationship of the users gathered in the meeting corresponding to the meeting information as a communication characteristic based on the meeting performance of the user designated as the analysis range Means,
By analyzing position information corresponding to the place designated as the analysis range, the degree of activity indicating the degree of activity of the place, the diversity of users gathered at the place, or the relationship of users gathered at the place Among the relationships, at least a location characteristic calculation unit that calculates the same characteristic element that the first calculation unit obtains ;
Means for determining the number of visits to the place specified as the analysis range of the user specified as the analysis range by analyzing the position information stored in the position information storage means ;
It said number of visits, and a resultant location of the property indicating the characteristic element by the location characteristic calculation unit, the same characteristic element as at least the first calculation means obtains, of the user specified as the analysis range of locations A second calculating means for calculating communication characteristics based on the characteristics ;
Output means for outputting a communication characteristic based on a meeting result of a user designated as an analysis range obtained by the first calculation means and a communication characteristic based on a user place characteristic obtained by the second calculation means When,
An information processing apparatus comprising: A computer capable of accessing position information storage means for storing position information generated by associating identification information of a place, identification information of a user located at the place, and information of a time at which the user is located ,
Meeting information generation means for generating meeting information including the place where the meeting was held, the user who participated in the meeting , and the meeting time by counting the position information stored in the position information storage means,
A place designated as an analysis range, and a reception means for receiving a user,
By analyzing the meeting information corresponding to the user specified as the analysis range, the activity indicating the activity level of the meeting corresponding to the meeting information, the diversity of users gathered in the meeting corresponding to the meeting information, or A first calculation for calculating at least one characteristic element among the characteristic elements of the relationship indicating the relationship of the users gathered in the meeting corresponding to the meeting information as a communication characteristic based on the meeting performance of the user designated as the analysis range means,
By analyzing position information corresponding to the place designated as the analysis range, the degree of activity indicating the degree of activity of the place, the diversity of users gathered at the place, or the relationship of users gathered at the place Location characteristic calculation means for calculating at least the same characteristic element that the first calculation means obtains among the relationships ,
Means for determining the number of visits to the place specified as the analysis range by the user specified as the analysis range by analyzing the position information stored in the position information storage means;
It said number of visits, and a resultant location of the property indicating the characteristic element by the location characteristic calculation unit, the same characteristic element as at least the first calculation means obtains, of the user specified as the analysis range of locations A second calculating means for calculating communication characteristics based on the characteristics ;
Output means for outputting a communication characteristic based on a meeting result of a user designated as an analysis range obtained by the first calculation means and a communication characteristic based on a user place characteristic obtained by the second calculation means ,
Program to function as.