JP2007226618A - Social research design unit and method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To simply design social research without any specialist knowledge. <P>SOLUTION: The social research design unit comprises: an action log analysis condition setting part 13 setting a condition for analyzing an action log, such as selection of an organization or group to be analyzed, period for the analysis, type of the log to be analyzed, and analysis method; an action log storage part 10 for storing the action log of the organization or the group in a database or the like; an action log analysis part 11 obtaining the log information from the action log storage part 10 to analyze the action of the organization or the group using the designated analysis condition; a social research condition setting part 15 for obtaining accuracy, cost, due date, viewpoint for the research desired by the user in social research through a GUI or the like; a social research designing part 14 for setting an implementation method for the social research according to the analysis result of the action log analysis part 11, and for selecting a research means such as a questionnaire, interview or participant observation or designing a scope of the object to be searched and a research content; and a design result display part 16 for presenting the result of the social research designing to the user. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a social survey design technique, and in particular, enables a social survey to be designed easily without specialized knowledge.

  The social survey is to collect data on social events for a predetermined purpose. These data are collected by methods such as questionnaire survey, interview survey, and participant observation. In the following, the social event may be a social event of various ranges, and is typically a society constituted by members of an organization such as a company.

  In the conventional technology, when conducting a social survey for an organization or group, interviews with a small number of members, questionnaire surveys for all members, and combinations thereof have been performed. These methods cannot be said to be implemented efficiently when considering both accuracy and cost to obtain the information the investigator wants to obtain. In addition, specialized knowledge was required to implement an appropriate social survey design.

  Therefore, it is desirable to be able to design social surveys easily without specialized knowledge.

  The prior arts related to this invention include the following.

  Patent Document 1 proposes an analysis result providing method for realizing a business that provides a result of analysis of human resources and the like using a combination of various types of question contents. This proposal is a business model patent for a questionnaire service, but does not use log information.

  Patent Document 2 proposes a knowledge sharing system that aggregates the answer statuses to questions and notifies the questioner. This proposal is a motivation method based on the Q & A type knowledge base. Uses a combination of access status and questions, but is not related to social survey methods.

  Patent Document 3 proposes a data extraction support method for focusing on repetitive behavior of a person and extracting information that the person truly memorizes and information that is truly desired. This proposal uses behavioral history data to extract the information you want, and uses behavioral history data (logs) but only for information retrieval.

  Patent Document 4 proposes a technology that provides an exchange opportunity between similar users based on the contents of user activities on the terminal device. This proposal facilitates the acquisition of target data for extracting people. However, interests and similarities in text are extracted to extract people and support exchanges. People are extracted using content instead of logs.

Patent Document 5 proposes a management support method that can change the importance of a question and can easily select a question group and a corresponding problem as a subordinate sub-item. In this proposal, a management support device that presents a measure execution procedure in response to a selection answer input to a question item, and can be changed depending on the special circumstances of each company or office. The importance of the question item can be changed according to the individual situation, and it is easy to select the corresponding task. However, the activity log is not used.
JP 2004-110502 A JP 2005-78129 A JP 2005-216227 A JP 2005-234939 A JP 2005-309696 A

  The present invention has been made in consideration of the above circumstances, and has an object to allow a social survey to be designed easily without specialized knowledge.

  According to the present invention, in order to achieve the above-mentioned object, a method for conducting a social survey for the organization or group is designed in more detail using the analysis result of the activity log of the organization or group. Without any knowledge, social surveys with appropriate cost and accuracy can be designed for management.

  According to the configuration example of the present invention, using a result of analyzing an activity log (communication log, action log, resource access log, etc.) of a certain organization or group, a social survey for the organization or group is designed as follows. To do. The activity log is a log of activities that can be collected by the subject. The communication log refers to a log related to electronic communication using electronic messages such as electronic mail and instant messages, communication by telephone, and communication by actual oral conversation. Logs of communication by e-mail and telephone are also referred to as transmission / reception logs and call logs, respectively. The action log is a log that directly or indirectly indicates when and where the target person is, and is also referred to as position information or tag position information. The resource access log is, for example, a log of access to resources such as an electronic document filing system, information, and facilities, and is simply referred to as an access log below.

(1) Using the results of log analysis, select social survey implementation means (questionnaire, interview, participation observation, etc.).
(2) Extract the targets of social surveys using the results of log analysis.
(3) Using the log analysis results, determine whether to select a social survey target from the population (total survey or sample survey within a predetermined target range).
(4) Use the results of log analysis to design social survey questions.

  In this configuration example, a social survey with appropriate cost and accuracy can be designed for management without specialized knowledge.

  The present invention will be further described.

  According to one aspect of the present invention, in order to achieve the above-mentioned object, the social research design apparatus: storage means for storing an activity log; and analyzing the activity log stored in the storage means under a predetermined analysis condition Analyzing means for designing; and designing means for designing a method for conducting the social survey based on the analysis result of the analyzing means and predetermined conditions of the social survey.

  As described above, the social survey is to collect social event data for a predetermined purpose, and these data are collected by a method such as a questionnaire survey, an interview survey, and a participant observation. In the following, the social event may be a social event of various ranges, and is typically a society constituted by members of an organization such as a company. Hereinafter, an organization or a group may be collectively referred to as an organization or a group.

  The present invention is typically realized as a social survey design device or system, but can be realized as an appropriate device or system such as a social survey execution device or system, a social survey execution report device or system, a social survey support device or system, etc. Is clear.

  In this configuration, a method for conducting a social survey can be easily obtained based on analysis conditions and social survey conditions.

  In this configuration, the predetermined conditions for the social survey are typically input by the input means. However, the predetermined conditions (default conditions, user, organization, time, etc. are appropriately changed). Condition).

  In this configuration, typically, a generation unit that generates an activity log is further included. Of course, the activity log may be diverted from a system used for a specific purpose such as an electronic mail system.

  The activity log typically includes at least one of a communication log, an action log, and a resource access log. As described above, the communication log is a communication log such as e-mail or instant message. The action log is, for example, information indicating “when and where were” collected using RFID. The resource access log is, for example, a log of access (reading, writing, printing, etc.) to the document file system.

  Moreover, you may further provide the output means which outputs the specification of the implementation method of the social survey designed by the said design means. The output means outputs to a display device or a print device.

  Further, a means for inputting the predetermined analysis condition may be further provided.

  The analysis conditions typically include at least one of selection of an analysis target organization, analysis target period, analysis log type, and analysis method.

  The social survey conditions typically include at least one of accuracy, cost, delivery date, survey point, and survey purpose.

  The survey points include, for example, at least one of the whole, the maximum point, the minimum point, and the singular point.

  Further, the purpose of the investigation includes, for example, at least one of fact confirmation, reason grasp, and content grasp.

  Moreover, the design means typically determines the method for conducting the social survey by determining at least one of the survey method, the scope of the survey, and the survey content as the method for performing the social survey.

  The survey method typically includes at least one of a questionnaire survey, an interview survey, and a participant observation. Interviews can be face-to-face or telephone.

  In addition, an execution unit that performs a social survey by the social survey execution method acquired by the design unit may be provided, and a report unit that reports the survey result acquired by the execution unit may be provided. The execution means is constructed by, for example, an e-mail system or a web-based system, sends a questionnaire or the like to the target person by an electronic message, acquires an answer from the target person, and analyzes it. The reporting means also reports the analysis result or the like to the manager or the like by an electronic message or the like, but is not limited to this.

  The present invention can be realized not only as an apparatus or a system but also as a method. Of course, a part of the invention can be configured as software. Of course, software products used to cause a computer to execute such software are also included in the technical scope of the present invention.

  These and other aspects of the invention are set forth in the appended claims and will be described in detail below with reference to examples.

  According to the present invention, it is possible to easily design a social survey without specialized knowledge.

  Examples of the present invention will be described below.

  FIG. 1 shows a social survey design system 100 of the present invention as a whole. In this embodiment, the social survey design computer program 201 is installed in the computer 200 to constitute the social survey design system 100. Each functional block of the social survey design system 100 described below is configured by cooperating hardware resources and software resources of the computer 200. The social survey design system 100 may be configured by distributing a plurality of computers.

  In FIG. 1, a social survey design system 100 includes an activity log storage unit 10, an activity log analysis unit 11, an organization information storage unit 12, an activity log analysis condition setting unit 13, a social survey design unit 14, a social survey condition setting unit 15, and The design result display unit 16 is included.

  The activity log analysis condition setting unit 13 sets activity log analysis conditions such as selection of an organization / group to be analyzed, a period to be analyzed, a type of analysis log, and an analysis method. The activity log storage unit 10 stores an activity log of an organization or group in a database or the like. There are at least one type of activity log, and any log related to an organization or group such as a communication log, an action log, and a system access log can be used. In this embodiment, as shown in FIG. 2, the activity log is an email log (transmission / reception log), an action log (location information log), a telephone log (call log), and an electronic filing system log (access log). However, it is not limited to this. In the example of FIG. 2, the activity log storage unit 10 includes an external e-mail server 301, a tag position detection system 302, a telephone switch 303, and an e-mail transmission / reception log, a position information log, a call log, and filing from the electronic document filing device 304. The system access log is received and stored in the transmission / reception log storage unit 101, the location information log storage unit 102, the call log storage unit 103, and the access log storage unit 104.

  Returning to FIG. The activity log analysis unit 11 acquires log information from the activity log storage unit 10 and analyzes the activity of the organization or group under designated analysis conditions. In the social survey condition setting unit 15, the user designates the accuracy, cost, delivery date, viewpoint of survey, and the like desired by the user when conducting the social survey through the GUI or the like. The social survey design unit 14 designs a social survey implementation method according to the analysis result of the activity log analysis unit 11. Specifically, survey methods such as questionnaires, interviews, and participant observations are selected, and the scope of survey targets and survey contents are designed. The design result display unit 16 presents the result of the social survey design obtained by the social survey design unit 14 to the user.

  The organization information storage unit 12 stores information on attributes of organization members (job level, department name, job type, workplace, etc.) used in log analysis and social survey design.

  The activity log storage unit 11 stores activity logs in the form of a relational database table. A diagram of a specific example is shown below.

  FIG. 4 shows e-mail transmission information as an activity log. Here, it is composed of a serial number (num), a transmission date / time (date), a sender mail address (from), a receiver mail address (to), and a mail title (subject).

  Similarly, examples of a position information log, a call log, and an access log as activity logs are shown in FIGS. 5 to 7, but are not limited thereto.

  The organization information storage unit 12 stores names and email addresses of members belonging to the organization, department names, department names, job ranks, etc. in the form of a relational database table. In this example, the log storage unit 11 and the activity log analysis unit 11 is stored in a secondary storage area that can be accessed, such as a hard disk of a computer. A specific example is shown in FIG. In this example, only the data for three persons is shown, but it is desirable to list all members of the organization to be analyzed in the table when actually used. The table may be directly input by the user in advance using an input function of a relational database or a dedicated input interface may be prepared. If the same individual uses multiple e-mail addresses, entries that differ only by the e-mail address may be inserted into the table (in this case, the same name will appear multiple times in the table), and the name And a table indicating the correspondence between email addresses may be prepared separately.

  In addition to the e-mail address, the name, department name, and job level are used as organizational attribute information in the figure, but depending on the point of view that you want to analyze, you can enter the company year, age, gender, floor, department name, job title, specialty Various attributes such as areas can also be used.

  In the social survey design system 100 of this embodiment, as shown in FIG. 3, the activity log analysis condition setting unit 13 sets the activity log analysis condition (S10), and then the activity log analysis unit 11 according to this condition. Analyzes the activity log, and if necessary, presents the activity log analysis result to the user using the user interface (S11, S12). Thereafter, the social survey condition setting unit 15 sets the social survey conditions (S13). Based on this, the social survey design unit 14 designs the content of the social survey (S14), and the design result display unit 16 displays the social survey design result (S15).

  Further explanation will be given.

  The activity log analysis unit 11 extracts an activity trend in an organization or a group by executing an inquiry by SQL or the like to the activity log stored in the activity log storage unit. When the activity log analysis is performed, the analysis conditions set in the activity log analysis condition setting unit are referred to.

  The activity log analysis condition setting unit 13 sets activity log analysis conditions such as selection of an organization / group to be analyzed, period to be analyzed, type of activity log to be analyzed, and analysis method. The activity log analysis condition setting unit 13 may set conditions in advance in a fixed manner, or prepare a GUI or the like and allow the user to set the conditions. For example, the analysis of totaling the number of e-mails received for all the target persons every month from January 2005 to December 2005 is as follows, when e-mail reception records are stored in the relational database as activity logs: This can be realized by making an inquiry using an SQL statement such as

SELECT Format ([Date], “yyyy / mm”) AS Month, Count (Date) AS Received Mail Number FROM Mail-Communication
WHERE Date BETWEEN # 2005/1/1 10: 00 #
AND # 2005/12/31 23: 59 #
GROUP BY Format ([Date], “yyyy / mm”);

  It is also possible to present this result to the user, perform the activity log analysis again by changing the conditions, and conduct a social survey to interactively obtain the result to be confirmed.

  When narrowing down the analysis target or grouping the results according to the organization / group to be analyzed, personal attributes, etc., a table storing personal attributes such as IDs to identify individuals, departments, occupations, and email addresses is stored. It is possible to prepare in a relational database and use JOIN between the tables in the SQL sentence when querying the various activity log tables with the SQL sentence.

  The analysis results and analysis conditions obtained here are passed to the social survey design unit 14.

  The social survey design unit 14 designs a social survey implementation method according to the analysis result of the activity log analysis unit 11. Specifically, survey methods such as questionnaires, interviews, and participant observations are selected, and the scope of survey targets and survey contents are designed.

  An example of the operation of the social research design unit 14 is as shown in FIG.

  First, the activity log analysis conditions are referred to (S21). The activity log analysis conditions include the number of e-mails received, monthly, all members, January 2005 to December 2005 (period), and the like.

  Next, the social survey design conditions desired by the user are designated (S22). The social survey design conditions are, for example, survey points, accuracy, delivery date, cost, contents, and the like.

  The survey points are selected from, for example, overall trend, maximum point, minimum point, and singular point. It is also conceivable to use a designation method such as the top N name and M% of the whole. For example, the accuracy is selected from three levels: high, medium, and low. The cost is selected from, for example, three levels of high, medium, and low. The delivery date is selected, for example, from immediate, one week, or one month. The content is selected from, for example, fact confirmation / reason / content.

  The user specifies the above conditions via the GUI or the like. Options may be expanded as needed. Survey points and contents may be selected as multiple selections, and surveys from multiple viewpoints may be specified at the same time. For difficult combinations such as the overall trend, low cost, high accuracy, and immediate, it may be limited by the GUI so that it cannot be selected.

  Next, an investigation method (survey outline) corresponding to the conditions acquired in steps S21 and S22 is selected (S23). The survey method is, for example, a questionnaire, an interview, and participant observation. Prepare a design summary table for all combinations. The table is, for example, as shown in FIG. An inquiry is made to the social research design table under the conditions obtained in steps S21 and S22, and the corresponding design information is extracted. A method of branching according to each condition without using a table and determining design contents one by one is also conceivable.

  Next, the survey content is designed. For example, select what to check in the survey. Specifically, why are there so many emails received in month X? Is it affecting the business? This can be determined by combining those obtained as social survey design conditions.

  Specifically, a template is prepared for each question format, and social survey design conditions are applied to the template. The template is, for example, “Why is [measurement value] at [measurement time], and [measured value] is [point of interest]?”]. Or, “What does [measured value] have in the [measurement time] at [measurement time]? Questions can be composed by applying social survey design conditions in parentheses.

  Further specific examples will be described. It is assumed that the measurement value is the number of received emails, the measurement target is the organization A, the measurement time is October 2005, and the point of interest is the maximum point (= replace with “more”). In this case, the configuration example is “Why are there many emails received in Organization A in October 2005?” It becomes. In the case of a questionnaire, the answer shall be a free description. Alternatively, a method of registering an option that becomes a determinant of the amount of e-mail in advance and using it is conceivable. For example, “Because customer service has increased”, “Because trouble has occurred”, “E-mail discussion has been activated”, “Because of paperwork has increased”, “Because you are required to report. Etc.

  A method in which the user registers options on the spot is also conceivable.

  In the case of an interview, there are cases where options are presented or not.

  In the case of participant observation, it is conceivable to include the survey content obtained here as a confirmation item at the time of the survey.

  Next, a survey subject is selected (S24). Survey subjects are extracted according to the conditions of steps S21 and S22. Here, it is possible to select whether to conduct a complete survey, a sample survey, or how many samples the survey target person should perform.

  For example, for the maximum point, the minimum point, and the singular point, the survey subject is extracted based on the feature amount. As for the overall trend, an appropriate number of samples are extracted from the total number or target organization / group.

  An example of extraction will be described. When the measured value is the number of emails received, the measurement target is organization A, the measurement time is October 2005, and the point of interest is the maximum point, in October 2005, the emails of organization A Members are inquired in descending order of the number of received messages. This can be determined by searching as follows.

SELECT a. Address, Count (Date) Number of AS received mails FROM Mail-Communication a INNER JOIN Organization table b ON a. Address = b. Address
WHERE Date BETWEEN # 2005/10/1 00: 00 # AND # 2005/10/31 23: 59 #
AND Organization = “Organization A”
GROUP BY a. Address
ORDER BY Count (Date);

  From the top of this result, the survey subject is determined according to the following rules, for example, according to the conditions of implementation cost and accuracy.

Interview: low cost, low accuracy = one person Interview: high cost, high accuracy = total number Interview: medium, high accuracy = number of samples that can replace the entire organization A

  In the case of participant observation, it is also possible to extract not the subject of the survey but the location of the survey target.

  Finally, the design result is presented to the user (S25). The design results are, for example, survey conditions, survey means, survey contents, and survey targets, and log analysis results may be displayed as appropriate. The presentation of the design result may be displayed on a display or printed by a printer.

  In the above, an example of designing a social survey using various activity logs including e-mails, and particularly using e-mail transmission / reception logs has been described. Hereinafter, a modification using position information and system access will be described.

[Modification 1]

This example is an example in which participatory observation is performed based on position information log analysis.
[Summary]: Using the location information log, by selecting the area to be observed by the investigator, it supports efficient investigation by participating observation.
[Log data]: Uses the stay information of people. One entry in the log data includes a visitor, a stay start time, a stay end time, and a stay area, and is stored, for example, in a table format in a relational database.
[Log Analysis]: Analyzes log data using SQL or the like, and visualizes it with a graph or the like, thereby grasping characteristics such as increase or decrease in the number of visitors for each area.
[Social Survey]: In order to examine the results of log analysis in more detail, the candidates for the area to be observed are presented. As the area to be observed, the top several places with the highest rate of increase of visitors are presented to the user from the number of visitors by area.
[Extended 1]: Not only the area but also information indicating which area is to be observed in which time zone may be presented. In that case, by extracting an area with a high increase rate for each time zone, it is possible to present a survey schedule that allows an appropriate area to be observed in an appropriate time zone.
[Expansion 2]: There can be a variation in which the user presents the design information of the participant observation according to different needs by specifying the number of observers, the survey period, the characteristics to be investigated, etc. separately through the GUI or the like.

  In this example, it is possible to easily present a plan for efficiently observing the on-site situation obtained from log analysis with limited time and number of people.

[Modification 2]

This example is an example including a plurality of logs and a plurality of investigation methods.
[Overview]: Supporting efficient research activities by designing and implementing multiple different survey methods using multiple different log data.
[Log data, log analysis and social surveys]: “Logs related to document creation” stored in the document server as log data and “Logs related to printed documents” stored in the print server connected to the network Ask the user (several users) who printed the document about the most frequently printed document within a certain period of time (for example, within one month after it was created) Automatically distribute and collect via electronic questionnaire (may be email). Alternatively, an interview sheet is automatically created for interviewing the creator who created the target document with the intention to create the document, the expected deployment method, and the deployment destination. Provide to the investigator who conducts the survey.

[Modification 3]

  This example is an example including real-time on-demand features.

  Supporting efficient research activities by extracting behavioral characteristics at a certain location and conducting a survey adjusted according to the extracted characteristics immediately after that.

  As log data, in locations where there are multiple product areas such as showrooms, users who enter the showroom will have a transmitter, and a receiver will be installed for each product area. When the collected log data is used to automatically generate a questionnaire about a product for a user who leaves the showroom, only the question items related to the product stopped by the user are set in the questionnaire.

  The features of the embodiment and the first to third modifications are shown in FIG. According to this example, it can be seen that various social surveys can be designed.

  Finally, an example of a questionnaire will be specifically described. A questionnaire model as shown in FIG. 12A is used, and a social survey condition setting is inserted into the template and a questionnaire as shown in FIG. 12B is automatically created. Then, a questionnaire mail is sent to the survey subject in a matter of detail, and the reply mail of the questionnaire is statistically processed to automatically generate a report as shown in FIG.

  That is, an electronic questionnaire is implemented by HTML mail as shown in FIG. 12B. Answers are collected by e-mail by describing the answers and pressing the send button. In this example, the function of analyzing the exchange situation between a plurality of organizations for each month, examining the reason for the change by a questionnaire when there is a large change, and reporting to the user is realized. As shown in FIG. 13, this example is an example in which the number of e-mail transmissions from organization A to organization B decreased by 50% or more in September compared to August. Since the number of e-mails from organization A to organization B exceeds the change rate threshold (50%), the automatic questionnaire survey function is activated. A list of people whose number of e-mail transmissions from organization A to organization B has decreased from the previous month is extracted from the e-mail transmission log in descending order of the rate of decrease, and the top 10 are subject to the questionnaire. A simple electronic questionnaire that asks the reason why the number of e-mail transmissions has been reduced is automatically generated using a template and sent by HTML mail. The electronic questionnaire has a template, and the question text can be transformed according to the exchange situation between the organizations. The questionnaire results are collected, the log analysis results are combined, a report is automatically created, and presented to the user. The report describes the major changes that occurred during the month, a graph of the log analysis results, and the reason. The reason is a list of information obtained as a result of the questionnaire. Note that the organization of the questionnaire distribution target and information such as the number of distributions, the number of collections, and the collection rate may be presented together. Thus, log analysis is automatically performed, and an electronic questionnaire is automatically performed according to the result, and a report can be created and presented by combining the log analysis result and the questionnaire result.

  According to this embodiment, it is possible to design and implement a social survey for examining the details from the analysis result based on the activity log of the organization or group. Since the activity log analysis is linked to the design, implementation, and reporting of social surveys, social surveys with appropriate cost and accuracy can be easily realized even if they have little experience in social surveys.

  The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit of the invention. Hereinafter, a modified example will be further described.

For example, a social survey support system 300 that provides a total of social survey design, implementation, and reporting may be configured by providing the social survey execution unit 17 and the survey result presentation unit 18 that execute the designed social survey. FIG. 14 shows an outline of such a social research support system 30, and FIG. 15 shows an outline of its operation. In FIGS. 14 and 15, portions corresponding to FIGS. 1 and 3 are denoted by corresponding reference numerals.
The social survey execution unit 17 collects answers by conducting an electronic questionnaire or the like on the target person using an e-mail system or a web-based system (S16). The survey result presentation unit 18 aggregates the answers from the target person and presents them using a display device or a printer (S17). You may report by e-mail etc. The tabulation performed by the survey result presentation unit 18 includes various statistical processes.

  The log analysis is not limited to a single log, and a plurality of logs may be used simultaneously.

  For example, the top 10 people with the highest number of email exchanges in the reception log of the e-mail server and the top 10 people with the highest number of phone calls in the private branch exchange (PBX) call log are selected as survey subjects of the social survey. It is also possible to use the results analyzed separately.

  It is also possible to use the result of analyzing a plurality of logs collectively.

  For example, the communication time by telephone is obtained from the PBX call log. The communication time in the conference room is obtained from a position information log using an infrared badge, RFID tag, PHS, GPS, or the like. In communication by mail or file exchange, a time corresponding to the speed of reading / writing a document is obtained as a time spent for communication based on the body size of a transmitted / received mail and the size of a document to be transferred. It is also possible to take these sums and select the top 10 people with the longest communication time as survey subjects in the social survey. In the case of e-mail or the like, the average time for reading the text is taken as the required time. For example, when reading with understanding, it takes around 10 characters / second, so it is only necessary to convert 1 second for every 10 characters of the body size. Note that files may be attached to emails. In this case, an approximate information capture time may be calculated according to the file type as shown in FIG. Here, text is a character string without style information, a document is mainly a character string, has a format or style, an image is data obtained by scanning a photo, and an illustration is drawn using lines or figures. Yes. Furthermore, parameters are changed according to the file type, and for complex files, a × (number of characters) + b × (image area) + c × (illustration data amount) + d × (number of pages) It may be finely set to improve accuracy.

  The log analysis results may be used for designing a plurality of social survey methods.

  For example, the top 10 people with the largest number of emails are selected as interviewees from the email server's send / receive log, and 90 people with the highest number of emails are selected as the survey subjects after the top 10 people. it can.

It is a block diagram which shows the social research design system of the Example of this invention as a whole. It is a block diagram explaining the example of the activity log storage part of FIG. It is a flowchart explaining the operation | movement outline | summary of an Example. It is a figure explaining the example of the reception log of the email of an Example. It is a figure explaining the example of the position information log by the tag position detection of an Example. It is a figure explaining the example of the telephone call log of an Example. It is a figure explaining the example of the access log of the electronic document filing system of an Example. It is a figure explaining the example of the organization information of an Example. It is a flowchart explaining the operation example of the social research design part of an Example. It is a figure explaining the example of the table which selects the survey outline in an Example. It is a figure explaining the outline | summary of the social survey of Example 1 and other Examples 1 to 3. It is an example of a questionnaire template and a questionnaire. It is a figure explaining the example of the design of a questionnaire corresponding to FIG. 12, implementation, and a report. It is a figure explaining the modification of the Example which provided this invention to the social research support system. It is a flowchart explaining the operation | movement outline | summary of the modification of FIG. It is a figure explaining the conversion table which handles various electronic communication uniformly.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Activity log storage part 11 Activity log analysis part 12 Organization information storage part 13 Activity log analysis condition setting part 14 Social investigation design part 15 Social investigation condition setting part 16 Design result display part 17 Social investigation execution part 18 Investigation result presentation part 100 Society Survey design system 101 Transmission / reception log storage unit 102 Location information log storage unit 103 Call log storage unit 104 Access log storage unit 200 Computer 201 Computer program for social survey design 300 Social survey support system 301 Email server 302 Tag position detection system 303 Telephone switch 304 Electronic document filing device

Claims (15)

Storage means for storing activity logs;
Analysis means for analyzing the activity log stored in the storage means under predetermined analysis conditions;
A social survey design apparatus comprising: design means for designing a social survey implementation method based on an analysis result of the analysis means and a predetermined condition of the social survey.   The social research design apparatus according to claim 1, further comprising an input means for inputting a predetermined condition of the social research.   The social survey design device according to claim 1, further comprising a generation unit configured to generate an activity log.   The social survey design device according to claim 1, wherein the activity log includes at least one of a communication log, an action log, and a resource access log.   5. The social research design apparatus according to claim 1, further comprising output means for outputting details of a social research implementation method designed by the design means.   The social research design apparatus according to claim 1, further comprising means for inputting the predetermined analysis condition.   The social survey design device according to any one of claims 1 to 6, wherein the analysis conditions include at least one of selection of an analysis target organization, an analysis target period, an analysis log type, and an analysis method.   The social survey design apparatus according to claim 1, wherein the social survey condition includes at least one of accuracy, cost, delivery date, survey point, and survey purpose.   The social survey design device according to claim 8, wherein the survey points include at least one of a whole, a maximum point, a minimum point, and a singular point.   The social survey design device according to claim 8 or 9, wherein the purpose of the survey includes at least one of fact confirmation, grasp of the reason, and grasp of the content.   The design means determines the implementation method of the social survey by determining at least one of the survey method, the scope of the survey, the content of the survey, the survey timing, and the schedule. The social survey design device according to any one of 10 to 10.   The social survey design device according to claim 1, wherein the survey method includes at least one of a questionnaire survey, an interview survey, and a participant observation. An execution means for executing a social survey in accordance with the social survey implementation method obtained by the design means;
The social survey design device according to claim 1, further comprising reporting means for reporting the survey result acquired by the execution means. A storage means for storing an activity log;
An analyzing unit analyzing the activity log stored in the storage unit under a predetermined analysis condition;
A social research design method, wherein the design means includes a step of designing a method for conducting a social survey based on an analysis result of the analysis means and a predetermined condition of the social survey. A storage means for storing an activity log;
An analyzing unit analyzing the activity log stored in the storage unit under a predetermined analysis condition;
A computer for social survey design, wherein the design means is used for causing a computer to execute a step of designing a method for conducting a social survey based on an analysis result of the analyzing means and a predetermined condition of the social survey. program.