Work visualization device, work visualization system, work visualization method, and work visualization program

Abstract

To provide an operation visualization apparatus which can precisely evaluate feelings of an operator with respect to an operation.SOLUTION: An operation visualization apparatus according to the present invention has a biological information normalizing unit 11, a satisfaction level calculating unit 12, an operation extracting unit 13, and a display control unit 14. The biological information normalizing unit 11 normalizes the biological information of each of a plurality of items of an operator. The satisfaction level calculating unit 12 calculates a satisfaction level of the operator with respect to an operation based on at least two or more items of the normalized biological information. The operation extracting unit 13 extracts the operation done by the operator from a log of operations done by the operator. The display control unit 14 displays the extracted operation and the satisfaction level in association with each other.SELECTED DRAWING: Figure 10

Description

[Technical Field]

[0001] The present invention relates to a technique for evaluating work, and more particularly to a technique for evaluating work satisfaction. [Background technology]

[0002] Automating work using RPA (Robotic Process Automation) technology has become a common practice to improve work efficiency. However, the feelings of workers who perform the work have a significant impact on productivity. For example, when a worker feels highly satisfied and fulfilled with the work, work efficiency can be improved. Therefore, technology is being considered that evaluates workers' feelings about the work based on their state and obtains index data for improving work efficiency. Patent Document 1, for example, discloses such a technology that obtains index data for improving work efficiency based on the state of the worker.

[0003] Patent Document 1 relates to an information analysis device having a function for evaluating the degree of concentration of a worker on a task. The information analysis device in Patent Document 1 acquires a log of the tasks performed by the worker and the worker's biometric information. When an index based on the biometric information exceeds a preset threshold, the information analysis device in Patent Document 1 determines that the worker is not concentrating on the task being performed at the corresponding time. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2012-63885 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the technology of Patent Document 1 is insufficient in the following respects: In Patent Document 1, the worker's concentration level is determined using one item of biometric information acquired during the same time period as the worker performed their work. Therefore, when the worker's health condition and the surrounding environment have a complex effect on the biometric information, there is a risk that the worker's concentration level on their work cannot be accurately evaluated.

[0006] In order to solve the above-mentioned problems, an object of the present invention is to provide a task visualization device and the like that can more accurately evaluate a worker's feelings about the task. [Means for solving the problem]

[0007] In order to solve the above problems, the task visualization device of the present invention includes a biometric information normalization unit, a satisfaction level calculation unit, a task extraction unit, and a display control unit. The biometric information normalization unit normalizes each of multiple items of biometric information of a worker. The satisfaction level calculation unit calculates the worker's satisfaction with a task based on at least two or more items of the normalized biometric information. The task extraction unit extracts tasks performed by the worker from a log of the tasks performed by the worker. The display control unit displays the extracted tasks in association with the satisfaction level.

[0008] The work visualization method of the present invention normalizes multiple items of biometric information of a worker, calculates the worker's satisfaction with the work based on at least two or more items of the normalized biometric information, extracts the work performed by the worker from the log of the work performed by the worker, and displays the extracted work in association with the satisfaction level.

[0009] The work visualization program of the present invention causes a computer to perform the following processes: normalizing each of multiple items of biometric information of a worker; calculating the worker's satisfaction with the work based on at least two or more items of the normalized biometric information; extracting the work performed by the worker from a log of the work performed by the worker; and displaying the extracted work in association with the satisfaction level. [Effects of the Invention]

[0010] According to the present invention, it is possible to more accurately evaluate a worker's feelings about his or her work. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram illustrating an outline of the configuration of a first exemplary embodiment of the present invention. [Figure 2] 1 is a diagram illustrating a configuration of a task visualization device according to a first exemplary embodiment of the present invention. [Figure 3] FIG. 2 is a diagram illustrating an operation flow of the process visualization device according to the first exemplary embodiment of the present invention. [Figure 4] FIG. 3 is a diagram illustrating an example of a log table according to the first embodiment of the present invention. [Figure 5] FIG. 4 is a diagram illustrating an example of a worker insight table according to the first embodiment of the present invention. [Figure 6] FIG. 3 is a diagram illustrating an example of a normalized insight table according to the first embodiment of the present invention. [Figure 7] FIG. 4 is a diagram illustrating an example of an integrated insight table according to the first embodiment of the present invention. [Figure 8] FIG. 3 is a diagram illustrating an example of a task table according to the first embodiment of the present invention. [Figure 9] FIG. 3 is a diagram illustrating an example of a satisfaction level table according to the first embodiment of the present invention. [Figure 10] FIG. 2 is a diagram illustrating a configuration of a task visualization device according to a second exemplary embodiment of the present invention. [Figure 11] FIG. 10 is a diagram illustrating an operation flow of a process visualization device according to a second exemplary embodiment of the present invention. [Figure 12] FIG. 10 is a diagram illustrating another example of the configuration of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] (First embodiment) A first embodiment of the present invention will be described in detail with reference to the drawings. FIG. 1 is a diagram showing an outline of the configuration of a task visualization system of this embodiment. The task visualization system of this embodiment includes a task visualization device 100, a measurement device 200, a work terminal 300, and a manager terminal 400. The task visualization device 100, the measurement device 200, the work terminal 300, and the manager terminal 400 are each connected via a network. Furthermore, a plurality of measurement devices 200 and a plurality of work terminals 300 may be provided.

[0013] The task visualization system of this embodiment acquires multiple pieces of biometric information from a worker performing a task and evaluates the worker's feelings about the task, thereby presenting index data for improving task efficiency. For example, when a worker is highly satisfied with the task, the worker feels fulfilled and task efficiency can be improved. The task visualization system of this embodiment associates index data of the worker's feelings about the task with the task and outputs the index data, thereby presenting index data for improving task efficiency to a manager or the like. Furthermore, the biometric information of a worker refers to a measurement value whose value fluctuates depending on the worker's feelings about the task, such as satisfaction with the task. The biometric information includes, for example, measurements of blood pressure, heart rate, sweat rate, and body temperature.

[0014] The following describes the task visualization device 100. Fig. 2 is a diagram showing the configuration of the task visualization device 100. The task visualization device 100 includes a biometric information management unit 110, a task information management unit 120, and a satisfaction level estimation unit .

[0015] The biometric information management unit 110 further includes a biometric information acquisition unit 111 , a biometric information integration unit 112 , a biometric information normalization unit 113 , and a biometric information storage unit 114 .

[0016] The biometric information acquiring unit 111 acquires biometric information of the worker from the measurement device 200. The biometric information uses measurement data of biometric information that changes depending on the psychological state of the worker. For example, measurement data of one or more items of the worker's blood pressure, heart rate, body temperature, and sweat rate is used as the biometric information. Measurement data of other items may also be used as the biometric information as long as the measurement data changes depending on the worker's mood. The biometric information acquiring unit 111 stores the acquired measurement data of the biometric information in the biometric information storage unit 114.

[0017] In the following description, biometric information is also referred to as insight information. Each item of biometric information is also referred to as insight type. Measurement data for each item of biometric information is also referred to as insight value. The insight information is composed of insight types and insight values ​​for each insight type. The biometric information acquisition unit 111 stores the acquired insight information in the biometric information storage unit 114.

[0018] The biometric information integrating unit 112 reads out the biometric information of the workers from the biometric information storage unit 114, and generates data that integrates the biometric information of each worker for the period to be counted.

[0019] The biometric information normalization unit 113 calculates statistical information for each insight type. For example, the biometric information normalization unit 113 calculates the maximum value, minimum value, average value, and variance value of the insight value for each insight type as statistical information. Other types of statistical values ​​may be used as the statistical information. The biometric information normalization unit 113 normalizes the insight value for each insight type using the calculated statistical information.

[0020] The biometric information storage unit 114 stores the biometric information of the worker acquired from the biometric information acquisition unit 111 .

[0021] The business information management unit 120 further includes a business extraction unit 121 , a log acquisition unit 122 , and a log storage unit 123 .

[0022] The task extraction unit 121 extracts tasks performed by workers from the log of the work terminal 300. The task extraction unit 121 generates a data table that records the tasks performed by workers. The data table that records the tasks performed by workers is also called a task table. The task extraction unit 121 stores the generated task table in the log storage unit 123.

[0023] The log acquisition unit 122 acquires a log of the work performed by the worker from the work terminal 300 on which the worker is working. The log acquisition unit 122 acquires the log from the work terminal at predetermined time intervals. The log acquisition unit 122 may acquire the log from the work terminal 300 when the work visualization device 100 starts evaluating the work.

[0024] The log storage unit 123 stores the task table generated by the task extraction unit 121.

[0025] The satisfaction degree estimation unit 130 further includes a satisfaction degree calculation unit 131 and a display control unit 132.

[0026] The satisfaction level calculation unit 131 calculates the satisfaction level of the worker performing the task based on the normalized insight value. The satisfaction level calculation unit 131 associates the normalized insight value with the task table. The satisfaction level calculation unit 131 calculates the average value of the insight value for the period during which the task was performed, and sets the calculated average value as the task satisfaction level.

[0027] The display control unit 132 generates display data for presenting the satisfaction level data to a manager or the like. The display control unit 132 displays data associating the work with the satisfaction level as index data indicating the worker's feelings about the work. The display control unit 132 sends the generated display data to the manager terminal 400.

[0028] The biometric information management unit 110, the task information management unit 120, and the satisfaction degree estimation unit 130 of the task visualization device 100 may be formed as separate devices and connected to each other via a network.

[0029] The measuring device 200 measures the worker's biometric information. The measuring device 200 has a function for measuring the worker's biometric information and a communication function. The measuring device 200 transmits the measured data of the biometric information to the task visualization device 100 via a network. The measuring device 200 transmits insight values, which are measured data of the biometric information, to the task visualization device 100 at preset time intervals. The measuring device 200 transmits the measured data of the biometric information to the task visualization device 100 at intervals of, for example, one minute. The interval for transmitting the insight values ​​may be other than one minute. Furthermore, the measuring device 200 may transmit insight values ​​from multiple measurements together to the task visualization device 100.

[0030] The measurement device 200 acquires measurement data of biological information via, for example, a blood pressure monitor, a heart rate monitor, a thermometer, and a sweat sensor worn by the worker. The sensors that measure biological information and the measurement device 200 may be formed as an integrated device. Multiple items, such as blood pressure and heart rate, may be measured together. Alternatively, a measurement device 200 may be installed for each item to be measured. The measurement device 200 may be provided as an edge device in the IoT (Internet of Things).

[0031] The work terminal 300 is an information processing device on which a worker performs work. The work terminal 300 stores a log of the execution history of an application program. The log of the execution history of an application program is data including items such as the date and time of execution, the identification information of the worker who executed the application program, the name of the application program, and the title of the window. For example, the identification information of the worker who executed the application program is the identification information of the worker who logged in to the work terminal 300 at the time the application program was executed. The work terminal 300 also transmits the log to the work visualization device 100.

[0032] The manager terminal 400 acquires display data associating tasks with the worker's feelings about the tasks, i.e., task satisfaction, from the task visualization device 100. The manager terminal 400 displays the task satisfaction display data on a display device. The manager terminal 400 may also be configured as an integrated device with the task visualization device 100.

[0033] The operation of the process visualization system of this embodiment will be described below. Fig. 3 is a diagram showing the operation flow of the process visualization device 100 of this embodiment.

[0034] When a worker performs a task on the work terminal 300, the history of the task is stored as a log. The task log is stored as data including the time the task was performed, the worker's identification information, the name of the application program running on the work terminal 300, and the window title. The log is sent to the task visualization device 100 at preset time intervals. The log may also be sent to the task visualization device 100 when a satisfaction analysis is performed. The log input from the work terminal 300 to the task visualization device 100 is stored in the log storage unit 123 as a log table.

[0035] FIG. 4 is a diagram showing an example of a log table. The log table in FIG. 4 is composed of data such as time, worker ID (Identifier), application name, window title, and work time. The time in FIG. 4 indicates the time when each task was started on the work terminal 300. The application name in FIG. 4 indicates the name of the application program used to perform the task on the work terminal 300. The window title in FIG. 4 indicates the name displayed in the application program window. The window title in FIG. 4 may be the file name used when the application program saves data. The work time in FIG. 4 indicates the time from when the worker started the task to when he or she finished it.

[0036] Furthermore, the measurement device 200 measures biometric information while the worker is performing work. The measurement device 200 sends an insight value, which is measurement data of the biometric information, to the work visualization device 100. The measurement device 200 measures, for example, the heart rate, blood pressure, and body temperature every minute, and sends the insight value of the measurement results to the work visualization device 100. In this case, the heart rate is measured as the number of heartbeats per minute. The measurement device 200 sends the insight value to the work visualization device 100 at preset time intervals. The measurement device 200 may send the insight value to the work visualization device 100 every time it measures biometric information.

[0037] When the biometric information acquisition unit 111 of the task visualization device 100 acquires an insight value from the measurement device 200, it stores the acquired insight value as a worker insight table in the biometric information storage unit 114. FIG. 5 shows an example of a worker insight table. The worker insight table in FIG. 5 is composed of data on time, worker ID, insight type, and insight value. The time in FIG. 5 indicates the date and time when the insight value was measured. The worker ID in FIG. 5 indicates the identification information of the worker. The worker ID in FIG. 5 corresponds to the worker ID in the log table in FIG. 4. The insight type in FIG. 5 indicates the type of measured biometric information. Furthermore, the insight value in FIG. 5 indicates the measured value of the biometric information.

[0038] 2 and 3, the biometric information normalization unit 113 of the task visualization device 100 refers to the biometric information storage unit 114 and reads out an insight value, which is measurement data of the biometric information (step S101). The predetermined period is set to, for example, one month. The predetermined period may be set to a period other than one month as long as the number of data is sufficient for performing statistical processing.

[0039] When the measurement data of the biological information is read, the biological information normalization unit 113 calculates statistical information of the insight value for each insight type (step S102). The biological information normalization unit 113 calculates the maximum value, minimum value, and average value of the insight value as the statistical information of the insight value. The statistical information of the insight value may use statistical values ​​of items other than the maximum value, minimum value, and average value of the insight value.

[0040] After calculating the statistical information of the insight value, the biometric information normalization unit 113 selects a normalization method corresponding to the insight type (step S103). The normalization method for each insight type is set in advance.

[0041] After confirming the insight method, the biometric information normalization unit 113 normalizes the insight value (step S104). For example, the biometric information normalization unit 113 normalizes the insight value by using the value obtained by subtracting the minimum value from the maximum value as the denominator and the value obtained by subtracting the minimum insight value from the insight value to be normalized as the numerator. By normalizing in this way, the normalized insight value becomes a value in the range from 0 to 1. Normalization may be performed by other methods as long as 0 indicates low job satisfaction and 1 indicates high job satisfaction. The biometric information normalization unit 113 stores the normalized insight value in the biometric information storage unit 114 as a normalized insight table.

[0042] FIG. 6 is a diagram showing an example of a normalized insight table. The normalized insight table in FIG. 6 is composed of data on time, worker ID, insight type, and normalized insight value. The time in FIG. 6 indicates the date and time when the insight value was measured. The worker ID in FIG. 6 indicates the identification information of the worker whose insight value is being measured. The insight type in FIG. 6 indicates the item of biometric information to be measured. The normalized insight value in FIG. 6 indicates the normalized insight value. Furthermore, the time, worker ID, and insight type in FIG. 6 correspond to the time, worker ID, and insight type in the worker insight table in FIG. 5.

[0043] The biometric information normalization unit 113 normalizes all insight values ​​acquired by the biometric information acquisition unit 111. After normalization of all the measurement data of the biometric information has been completed, the biometric information integration unit 112 integrates the normalized insight values ​​of the same worker (step S105). The biometric information integration unit 112 integrates the normalized insight values ​​for each time point based on a preset formula.

[0044] The proportion for each insight type when integrating the insight values ​​of the biometric information is set in advance. The biometric information integrating unit 112 integrates the biometric information using, for example, the formula: (normalized heart rate) × 0.5 + (normalized sweat rate) × 0.3 + (normalized blood pressure value) × 0.1 + (normalized body temperature) × 0.1. The coefficient for each insight type indicates the proportion, i.e., weight, of each insight type when integrating the insight values. Furthermore, by setting the sum of the coefficients to 1, the satisfaction level is calculated as a value between 0 and 1. The coefficient for each insight type may be a value other than the above. The biometric information integrating unit 112 stores the integrated insight value data in the biometric information storage unit 114 as an integrated insight table.

[0045] FIG. 7 is a diagram showing an example of an integrated insight table. The integrated insight table in FIG. 7 is composed of data on time, worker ID, and integrated insight value. The time in FIG. 7 indicates the time when the insight value was measured. The worker ID in FIG. 7 indicates the identification information of the worker whose insight value was measured. The integrated insight value in FIG. 7 indicates the insight value integrated by the biometric information integration unit 112. The time and worker ID in FIG. 7 correspond to the time and worker ID in the normalized insight table in FIG. 6.

[0046] Once the normalized insight values ​​are integrated, the task extraction unit 121 references the log storage unit 123, extracts tasks performed by the worker, and generates a task table (step S106). The task table is configured by time and the task performed by the worker at each time. The task extraction unit 121 identifies the task performed by the worker from the application name and window title included in the log. For example, if the window title contains the characters "report," the task extraction unit 121 identifies the task being performed as a report document creation task. The relationship between the application name and character strings included in the window and the corresponding task is set in advance. The task extraction unit 121 identifies the task for each time and creates a task table for each worker.

[0047] FIG. 8 is a diagram showing an example of a task table. The time in FIG. 8 indicates the time when a worker started a task. The worker ID indicates the identification information of the worker performing the task. The task name in FIG. 8 indicates the name of the task extracted by the task extraction unit 121. Furthermore, the task time indicates the time from when the worker started the task to when he or she finished it. The time and worker ID in FIG. 8 correspond to the time and worker ID in the log table in FIG. 4.

[0048] Once the task table is created, the satisfaction level calculation unit 131 associates the integrated insight value for each worker with the task table (step S107). The satisfaction level calculation unit 131 selects the task to be associated from the task table. After selecting the task to be associated, the satisfaction level calculation unit 131 reads out the integrated insight value corresponding to the time in the task table for the same worker as the worker in the task table. After performing the association, the satisfaction level calculation unit 131 calculates the satisfaction level from the insight value for each task to be evaluated (step S108). The satisfaction level calculation unit 131 calculates the average value of the insight value for each time period for each task to be evaluated as the satisfaction level. After calculating the satisfaction level for all tasks for the same worker, the satisfaction level calculation unit 131 calculates the satisfaction level for other workers in the same way. After calculating the satisfaction level, the satisfaction level calculation unit 131 generates a satisfaction level table based on the satisfaction level calculation results.

[0049] FIG. 9 is a diagram showing an example of a satisfaction level table. The satisfaction level table in FIG. 9 is composed of task names and satisfaction level data. The task names in FIG. 9 indicate the names of tasks for which satisfaction levels are to be evaluated. The satisfaction levels in FIG. 9 indicate the satisfaction levels of each task calculated by the satisfaction level calculation unit 131. The satisfaction levels in FIG. 9 are calculated as the average satisfaction levels of all workers for each task. A satisfaction level table may be generated for each worker.

[0050] Once the satisfaction level table is generated, the display control unit 132 generates display data based on the satisfaction level table (step S109). The display control unit 132 generates data displaying the satisfaction level of a task specified by the manager, for example. The display control unit 132 may also display the satisfaction level of a task other than that specified by the manager. For example, the display control unit 132 may generate display data presenting the top three tasks with high and low satisfaction levels. Furthermore, satisfaction level may be set as an index indicating feelings other than satisfaction, such as worker irritation. In such a case, multiple types of satisfaction levels may be set, integrated using different coefficients, when integrating normalized insight values.

[0051] The display control unit 132 sends the generated display data to the manager terminal 400. The manager terminal 400 displays the satisfaction level for each task acquired from the display control unit 132 on a display device.

[0052] In the task visualization system of this embodiment, the task visualization device 100 normalizes multiple items of biometric information of a worker acquired via a measurement device 200 and integrates the normalized biometric information to calculate a satisfaction level. Normalizing and integrating multiple items of biometric information can reduce the impact of changes in the worker's health condition and surrounding environment on the satisfaction level. Furthermore, the task visualization device 100 acquires a log of the task history performed by the worker from the work terminal 300 and identifies the tasks performed by the worker from the log. The task visualization system of this embodiment associates the identified tasks with the satisfaction level and outputs them as display data, thereby presenting the worker's satisfaction level for each task to a manager or the like. Therefore, the task visualization system of this embodiment can more accurately evaluate the worker's feelings about the task by reducing the impact of the worker's condition and environment, and present index data for improving task efficiency.

[0053] (Second embodiment) A second embodiment of the present invention will be described in detail with reference to the drawings. Fig. 11 is a diagram showing the configuration of a task visualization device of this embodiment. The task visualization device of this embodiment includes a biometric information normalization unit 11, a satisfaction level calculation unit 12, a task extraction unit 13, and a display control unit 14.

[0054] The biometric information normalization unit 11 normalizes each of multiple items of biometric information of the worker. The satisfaction level calculation unit 12 calculates the worker's satisfaction with the work based on at least two or more items of the normalized biometric information. Specifically, satisfaction level refers to an index that indicates the worker's feelings toward the work they are performing, and is, for example, an index that increases when the worker feels fulfilled. The work extraction unit 13 extracts the work performed by the worker from the work log. The display control unit 14 displays the extracted work in association with the satisfaction level.

[0055] Here, the biometric information normalization unit 11 is one aspect of biometric information normalization means. Moreover, the biometric information normalization unit 113 of the first embodiment is an example of the biometric information normalization unit 11. The satisfaction level calculation unit 12 is one aspect of satisfaction level calculation means. Moreover, the satisfaction level calculation unit 131 of the first embodiment is an example of the satisfaction level calculation unit 12. The task extraction unit 13 is one aspect of task extraction means. Moreover, the task extraction unit 121 of the first embodiment is an example of the task extraction unit 13. The display control unit 14 is one aspect of display control means. Moreover, the display control unit 132 of the first embodiment is an example of the display control unit 14.

[0056] The operation of the task visualization device of this embodiment will be described. FIG. 12 is a diagram showing the operation flow of the task visualization device of this embodiment. The biometric information normalization unit 11 normalizes each of multiple items of biometric information of the worker (step S11). Once the biometric information has been normalized, the satisfaction level calculation unit 12 calculates the worker's satisfaction with the task based on at least two or more items of the normalized biometric information (step S12). Furthermore, the task extraction unit 13 extracts tasks performed by the worker from the log of tasks performed by the worker (step S13). Once the biometric information has been normalized and the tasks have been extracted, the display control unit 14 displays the extracted tasks in association with the satisfaction level (step S14).

[0057] In the task visualization device of this embodiment, the biometric information normalization unit 11 normalizes each of multiple items of biometric information of a worker, and the satisfaction level calculation unit 12 calculates the worker's satisfaction with the task based on at least two or more items of the normalized biometric information. This makes it possible to suppress the influence of changes in the worker's condition or surrounding environment on a specific item of biometric information. In the task visualization device of this embodiment, the display control unit 14 associates the tasks performed by the task extraction unit 13 with the satisfaction level calculated by the satisfaction level calculation unit 12 and outputs them as display data, thereby presenting the worker's feelings about the task as satisfaction. As a result, the task visualization device of this embodiment can more accurately evaluate the worker's feelings about the task while suppressing the agent's condition and surrounding environment.

[0058] The processes in the task visualization device of the first and second embodiments can be performed by executing a computer program on a computer. Fig. 12 shows an example of the configuration of a computer 20 that executes a computer program that performs each process in the task visualization device. The computer 20 includes a CPU 21, a memory 22, a storage device 23, an I / F (Interface) 24, and a communication I / F 25.

[0059] The CPU 21 reads and executes computer programs for performing each process from the storage device 23. The memory 22 is configured with a DRAM (Dynamic Random Access Memory) or the like, and temporarily stores the computer programs executed by the CPU 21 and data being processed. The storage device 23 stores the computer programs executed by the CPU 21. The storage device 23 is configured with, for example, a non-volatile semiconductor storage device. Other storage devices such as a hard disk drive may be used as the storage device 23. The I / F 24 is an interface for inputting and outputting data between other devices in the management system and terminals on the network to be managed. The communication I / F 25 communicates with other devices via the communication network. The measuring device 200, the work terminal 300, and the administrator terminal 400 of the first embodiment may also have a similar configuration.

[0060] The computer programs for each process can also be stored on a recording medium and distributed. Examples of recording media that can be used include magnetic tapes for recording data and magnetic disks such as hard disks. Optical disks such as CD-ROMs (Compact Disc Read Only Memory) can also be used. Nonvolatile semiconductor storage devices can also be used as recording media. [Explanation of symbols]

[0061] 11 Biometric information normalization unit 12 Satisfaction Calculation Section 13 Business extraction department 14 Display control unit 20 Computer 21 CPU 22 Memory 23 Storage device 24 I / F 25 Communication I / F 100 Business visualization device 110 Biometric Information Management Department 111 Biometric information acquisition unit 112 Biometric Information Integration Department 113 Biometric information normalization unit 114 Biometric information storage unit 120 Business Information Management Department 121 Business extraction department 122 Log acquisition unit 123 Log storage unit 130 Satisfaction Estimation Department 131 Satisfaction Calculation Section 132 Display control unit 200 Measuring Equipment 300 Work Stations 400 Administrator terminal

Claims

1. a biometric information normalization means for normalizing each of a plurality of items of biometric information of the worker; a task extraction means for extracting tasks performed by the worker from a log of tasks performed by the worker; a satisfaction level calculation means for calculating the satisfaction level of the worker for the extracted task based on at least two or more items of the normalized biometric information, and calculating an average value of the satisfaction levels of the plurality of workers for the extracted task; a display control means for displaying the top three jobs with the highest average satisfaction levels and the bottom three jobs with the lowest average satisfaction levels in association with the average satisfaction levels of each job; A business visualization device equipped with the above.

2. a biometric information acquisition means for acquiring biometric information of the worker via a network; a storage means for storing the biometric information; Furthermore, The task visualization device according to claim 1 , wherein the biometric information normalization means normalizes the biometric information stored in the storage means.

3. 3. The task visualization device according to claim 1, wherein the satisfaction level calculation means calculates the satisfaction level by adding normalized values ​​of the biometric information based on weights preset for each item of the biometric information.

4. 4. The task visualization device according to claim 1, wherein the task extraction means identifies a task based on the type of application program included in the log and the title of a window in which the task is being performed.

5. The task visualization device according to claim 1 , wherein the biometric information normalization unit normalizes the biometric information using a method that is set in advance for each item of the biometric information.

6. A task visualization device according to any one of claims 1 to 5; a measuring device having a means for acquiring biometric information of a worker and a means for transmitting the acquired biometric information; Equipped with The biometric information normalization means of the process visualization device normalizes the biometric information received from the measurement device.

7. A business visualization device, Normalize each of the worker's multiple biometric information items, extracting the work performed by the worker from the work log performed by the worker; calculating the worker's satisfaction with the extracted work based on at least two or more items of the normalized biometric information; Calculate the average satisfaction level of multiple workers for the extracted tasks, A method for visualizing work that displays the top three work tasks with the highest average satisfaction levels and the bottom three work tasks with the lowest average satisfaction levels in relation to the average satisfaction levels for each work task.

8. A business visualization device, Acquiring biometric information of the worker via a network; storing the biometric information; The task visualization method according to claim 7 , wherein the stored biometric information is normalized.

9. A business visualization device, The method for visualizing work according to claim 7 or 8, wherein the satisfaction level is calculated by adding normalized values ​​of the biometric information based on weights preset for each item of the biometric information.

10. A process of normalizing each of the worker's multiple items of biometric information; A process of extracting work performed by the worker from a log of work performed by the worker; a process of calculating the worker's satisfaction level with the extracted work based on at least two or more items of the normalized biometric information; A process of calculating an average value of satisfaction levels of all workers with respect to the work; The top three jobs with the highest average satisfaction levels and the bottom three jobs with the lowest average satisfaction levels are displayed in association with the average satisfaction levels of each job. A business visualization program that runs on a computer.

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