Abstract: A content presentation system includes: a trainee terminal that presents training content to the trainee; a worker terminal used by a worker; a tool recognition device that acquires a work video of the worker and recognizes the tool being used by the worker; a determination device that determines success or failure of the work at a specific stage based on the information about the work tool recognized by the tool recognition device; and a content creation device that creates and updates the training content based on the determination result of the determination device. When the determination result is determined to be the failure of the work by the determination device, the content creation device identifies a portion of the training content corresponding to the specific stage in the work procedure and updates the portion of the training content so as to suppress a factor of the failure.

Abstract: A content presentation system includes: a trainee terminal that presents training content to the trainee; a worker terminal used by a worker; a tool recognition device that acquires a work video of the worker and recognizes the tool being used by the worker; a determination device that determines success or failure of the work at a specific stage based on the information about the work tool recognized by the tool recognition device; and a content creation device that creates and updates the training content based on the determination result of the determination device. When the determination result is determined to be the failure of the work by the determination device, the content creation device identifies a portion of the training content corresponding to the specific stage in the work procedure and updates the portion of the training content so as to suppress a factor of the failure.

Abstract: A content presentation system includes: a training content distribution function 431 that presents the training content to the trainee; a work content delivery function 331 that presents a work procedure based on augmented reality; a user operation detection unit 120 that detects a three-dimensional operation of the site worker; a work record analysis function 338 that determines success or failure of the work based on the evaluation reference information; and a content creation/updating function 342 that updates the training content based on the determination result. When a predetermined body motion of the worker is detected, the work record analysis function determines whether the work has failed based on the measurement information of the model worker up to the body motion. When the work is determined to have failed, the content creation/updating function updates the training content so as to suppress the factor of the failure.

Abstract: The content creation system comprises: an operation measurement device 1 that acquires, as measurement information, a three-dimensional work operation of a model worker R1 that performs the work of the work procedure; an evaluation criterion creation device 2 that creates evaluation criterion information on the work of the work procedure, based on the measurement information of the three-dimensional work operation; and a content creation device 3 that creates and updates the training content, based on the measurement information of the three-dimensional work operation, the evaluation criterion information and the three-dimensional shape information of the work target device. The work management server 2 creates the evaluation criterion information, based on distance information of the three-dimensional work operation with respect to the three-dimensional shape in specific stage of the work procedure, on the condition that a predetermined body motion of the model worker R1 is detected.

Abstract: A content presentation system includes: a training content distribution function 431 that presents the training content to the trainee; a work content delivery function 331 that presents a work procedure based on augmented reality; a user operation detection unit 120 that detects a three-dimensional operation of the site worker; a work record analysis function 338 that determines success or failure of the work based on the evaluation reference information; and a content creation/updating function 342 that updates the training content based on the determination result. When a predetermined body motion of the worker is detected, the work record analysis function determines whether the work has failed based on the measurement information of the model worker up to the body motion. When the work is determined to have failed, the content creation/updating function updates the training content so as to suppress the factor of the failure.

Abstract: The training management server 3 and the site management server 6 of the content presentation system 1 that presents a training content, when predetermined information that can be an accident occurrence factor in the on-site work of the work target device from a predetermined three-dimensional body motion of the trainee R1 or the model worker R2, adjust the evaluation criterion information on the work operation in the specific stage or other stage of the work procedure of the on-site work related to the information. At that time, the training content is updated so as to increase a probability of occurrence of a simulated accident with respect to the work operation in the specific stage or other stage during the simulated work, and impress the trainee R1 with the occurrence of the accident at occurrence of the simulated accident.

Abstract: An analysis apparatus is connectable to a terminal capable of displaying web pages by accessing a web server capable of executing a web application. The analysis apparatus comprises a processor, a memory and an interface. The processor is configured to perform the following processing of: receiving at least one log concerning the web application stored in the terminal from the terminal via the interface; acquiring a plurality of kinds of use condition feature values based on the log received, the plurality of kinds of use condition feature values being information characterizing conditions of use of the web application; analyzing whether a correlation exists between a first kind of use condition feature values and a second kind of use condition feature values in the plurality of kinds of use condition feature values acquired in the processing of acquiring; and outputting an analysis result obtained by the processing of the analyzing.

Abstract: An object is to improve detection accuracy of unfair use when a task system is used by using a mobile terminal. There is provided a method for detecting unfair use including: recording a plurality of operation feature quantities which are calculated from an operation log of a user and weights for the plurality of operation feature quantities of the user which are calculated by using a plurality of operation feature quantities of other users, obtaining an operation log of the user of a terminal device, calculating a plurality of operation feature quantities from the operation log, calculating similarity between the calculated plurality of operation feature quantities and the recorded plurality of operation feature quantities of the user in advance, by using the weights for the plurality of operation feature quantities, and detecting unfair use of the terminal device.

Abstract: An analysis apparatus is connectable to a terminal capable of displaying web pages by accessing a web server capable of executing a web application. The analysis apparatus comprises a processor, a memory and an interface. The processor is configured to perform the following processing of: receiving at least one log concerning the web application stored in the terminal from the terminal via the interface; acquiring a plurality of kinds of use condition feature values based on the log received, the plurality of kinds of use condition feature values being information characterizing conditions of use of the web application; analyzing whether a correlation exists between a first kind of use condition feature values and a second kind of use condition feature values in the plurality of kinds of use condition feature values acquired in the processing of acquiring; and outputting an analysis result obtained by the processing of the analyzing.

Abstract: An object is to improve detection accuracy of unfair use when a task system is used by using a mobile terminal. There is provided a method for detecting unfair use including: recording a plurality of operation feature quantities which are calculated from an operation log of a user and weights for the plurality of operation feature quantities of the user which are calculated by using a plurality of operation feature quantities of other users, obtaining an operation log of the user of a terminal device, calculating a plurality of operation feature quantities from the operation log, calculating similarity between the calculated plurality of operation feature quantities and the recorded plurality of operation feature quantities of the user in advance, by using the weights for the plurality of operation feature quantities, and detecting unfair use of the terminal device.

Abstract: Collecting log data efficiently by controlling the capturing event for an operation log on the basis of application layer information. A web server generates a response including an operation log capturing script and the information from an operation log capturing control definition table and a property capturing definition table, and sends the response to a client. In the client, the received information is forwarded from a web browser module to a script engine module. An operation log capturing module sets the information acquisition event handler on the basis of the forwarded information, captures a sequential operation log on the basis of the operations performed by a user in the web browser, and sends the captured sequential operation log to a log server. A log server module collects sequential operation log in an operation log table, and a log analysis module analyzes the collected logs.

Abstract: A usability analysis method of a web application including: a first step of acquiring a page transition log and operation logs on individual pages in the web application; a second step of detecting a segment having a specific page transition pattern in the page transition log; a third step of managing operation logs on individual pages included in the detected page transition pattern in relation to the individual pages; a fourth step of performing statistic processing on the managed operation logs and analyzing page utilization; and a fifth step of analyzing usability based on the page transition pattern and the page utilization.

Abstract: Collecting log data efficiently by controlling the capturing event for an operation log on the basis of application layer information. A web server generates a response including an operation log capturing script and the information from an operation log capturing control definition table and a property capturing definition table, and sends the response to a client. In the client, the received information is forwarded from a web browser module to a script engine module. An operation log capturing module sets the information acquisition event handler on the basis of the forwarded information, captures a sequential operation log on the basis of the operations performed by a user in the web browser, and sends the captured sequential operation log to a log server. A log server module collects sequential operation log in an operation log table, and a log analysis module analyzes the collected logs.

Abstract: Model data is generated from performance information sorted by day of the week, time period, and process status by a performance information analysis section and a process status analysis section. An abnormality determination section detects abnormality using appropriate model data. What the graph of an expected status is like, how much the graph of the current status that has been determined abnormal differs from the graph of the expected status, and how much the current status is like the expected status are displayed allowing a system manager to observe detailed information about abnormality determination.

Abstract: A usability analysis method of a web application including: a first step of acquiring a page transition log and operation logs on individual pages in the web application; a second step of detecting a segment having a specific page transition pattern in the page transition log; a third step of managing operation logs on individual pages included in the detected page transition pattern in relation to the individual pages; a fourth step of performing statistic processing on the managed operation logs and analyzing page utilization; and a fifth step of analyzing usability based on the page transition pattern and the page utilization.

Abstract: The single sign-on is implemented without requiring knowledge of a lower layer such as HTTP and HTML by using a single sign-on module which stores knowledge to store single sign-on and a single sign-on server which analyzes log-in communication of an EIS (Enterprise Information System) and selects and executes an applicable single sign-on module. Since the single sign-on can be implemented without requiring knowledge of a lower layer such as HTTP and HTML from a system engineer, the single sign-on can be implemented in a short period and at low cost.

Abstract: Model data is generated from performance information sorted by day of the week, time period, and process status by a performance information analysis section and a process status analysis section. An abnormality determination section detects abnormality using appropriate model data. What the graph of an expected status is like, how much the graph of the current status that has been determined abnormal differs from the graph of the expected status, and how much the current status is like the expected status are displayed allowing a system manager to observe detailed information about abnormality determination.

Abstract: Even when the operation of web page referencing or search is discontinuous and implicit, relativity between web pages is extracted. A web relativity extraction unit is executed as a program by the processing unit of a recommendation server. The web relativity extraction unit extracts relativity between web pages about a search term related to the web pages. Further, it considers a user's information search model based on the process of accessing between web pages and quantitatively evaluates a relativity degree indicating the intensity of relativity and thereby extracts relativity between the web pages.

Abstract: It is an object of the present invention to appropriately display a related document at the time when a user browses a document in a survey business using a set of documents as electronic data. A related document display system of the present invention includes a related learning controller that stores both related documents as an available related link based on a past document preparation in a set of documents in a related link storage unit (related link management information), and a recommended controller (proxy unit) that then refers, when the user browses any one of documents in the set of documents, to the related link storage unit, extracts a document having an available related link along with the browsed document, and displays the extracted document on a display unit as a document related to the browsed document.

Abstract: The search method comprises a first step of receiving a service inquiry request; a second step of making an inquiry about policy information of a client 100 who requested service and obtaining the policy information of the client 100 from a policy database 103; a third step of sending a request to search for a server matching the service sought after by the request and obtaining information showing the server matching the service from a registry 109; a fourth step of extracting a server meeting the policy information of the client obtained in the second step out of servers related to the information obtained in the third step; and a fifth step of transmitting information showing the server extracted in the fourth step to the source of the request to search for service.