Display information analysis program, display information analysis device, and display information analysis method

Abstract

A display information analysis program according to the present invention makes a computer execute processing that acquires first information about the environmental behaviors of users from respective first user terminals, generates second information about actual values for each type of environmental behavior by time unit on the basis of the acquired first information from each of the first user terminals, uses the second information to identify variations in the actual values over consecutive time units, and outputs third information about behavior modifications by the users on the basis of the identified variations. This makes it possible for the staff of groups implementing measures to promote environmental behaviors, etc. to accurately evaluate the measures to promote environmental behaviors.

Description

[Technical Field]

[0001] The present invention relates to a display information analysis program, a display information analysis device, and a display information analysis method. [Background technology]

[0002] Various efforts are being made to improve environmental issues. For example, there is a system that automatically collects information on users' usage of electricity, public transportation, and public services, and calculates the amount of greenhouse gas (GHG) emissions reductions based on this usage. In addition, measures such as events and campaigns to promote environmental behavior, such as reducing GHG emissions, are implemented, and after the measures are implemented, questionnaires are sent to the information processing devices used by users, and the measures are evaluated based on the survey results. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2003-271812 Summary of the Invention [Problem to be solved by the invention]

[0004] However, it is generally difficult to change users' habitual behavior in a short period of time as a result of implementing a measure, so the survey results after the measure only reflect temporary changes in users' behavior and do not allow for an accurate evaluation of the measure.

[0005] One aspect is to enable more accurate evaluation of policies to promote environmental behavior. [Means for solving the problem]

[0006] In one aspect, the display information analysis program causes a computer to execute a process of acquiring first information regarding the user's implementation of environmental behavior from each of the first user terminals, generating second information regarding actual values ​​for each type of environmental behavior on a time basis based on the acquired first information from each of the first user terminals, using the second information to identify fluctuations in the actual values ​​over successive time units, and outputting third information regarding the user's behavioral changes based on the identified fluctuations. [Effects of the Invention]

[0007] On the one hand, it allows for more accurate evaluation of policies aimed at promoting environmental behavior. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of an environmental activity promotion system according to this embodiment. [Figure 2] FIG. 2 is a diagram showing an example of the configuration of the display information analyzing device 100 according to this embodiment. [Figure 3] FIG. 3 is a diagram showing an example of information stored in the questionnaire data 121 according to this embodiment. [Figure 4] FIG. 4 is a diagram showing an example of information stored in the response history data 122 according to this embodiment. [Figure 5] FIG. 5 is a diagram showing an example of information stored in the policy data 124 according to this embodiment. [Figure 6] FIG. 6 is a diagram showing an example of monthly performance values ​​according to this embodiment. [Figure 7] FIG. 7 is a diagram showing an example of a method (1) for identifying fluctuations in performance values ​​according to this embodiment. [Figure 8] FIG. 8 is a diagram showing an example of a method (2) for identifying fluctuations in performance values ​​according to this embodiment. [Figure 9] FIG. 9 is a diagram showing an example of a method (3) for identifying fluctuations in performance values ​​according to this embodiment. [Figure 10]FIG. 10 is a diagram showing an example of a method for calculating the proportion of the number of people for each degree of behavioral change according to this embodiment. [Figure 11] FIG. 11 is a diagram showing an example of a method for analyzing behavioral change information according to this embodiment. [Figure 12] FIG. 12 is a diagram showing an example of displaying a policy period according to this embodiment. [Figure 13] FIG. 13 is a diagram showing an example of a screen of the environmental activity promotion system according to this embodiment. [Figure 14] FIG. 14 is a diagram showing an example of display of behavioral modification information according to this embodiment. [Figure 15] FIG. 15 is a flowchart showing an example of the flow of the questionnaire distribution process. [Figure 16] FIG. 16 is a flowchart showing an example of the flow of the behavior change information output process. [Figure 17] FIG. 17 is a diagram illustrating an example of the hardware configuration of the display information analyzing apparatus 100 according to this embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, examples of the display information analysis program, display information analysis device, and display information analysis method according to the present embodiment will be described in detail with reference to the accompanying drawings. Note that the present embodiment is not limited to these examples. Furthermore, each example can be appropriately combined within a consistent range.

[0010] [Overall configuration example] FIG. 1 is a diagram showing an example of the configuration of an environmental activity promotion system according to this embodiment. As shown in FIG. 1, the environmental activity promotion system according to this embodiment is a system in which a display information analysis device 100, user terminals 200-1 to -n (n is any natural number; hereinafter, collectively referred to as "user terminals 200"), and a person in charge terminal 300 are connected to each other so that they can communicate with each other via a network N. Note that the network N can be any of a variety of communication networks, such as an intranet, whether wired or wireless. Furthermore, the network N may not be a single network, but may be configured, for example, such that an intranet and the Internet are connected via a network device such as a gateway or other device (not shown).

[0011] The display information analyzing device 100 may be, for example, a server computer managed by a service provider that provides an environmental activity support service. The display information analyzing device 100 distributes, for example, a questionnaire regarding a user's environmental behavior to the user terminal 200. The display information analyzing device 100 also receives, for example, responses to the questionnaire from the user terminal 200. The exchange of questionnaires between the display information analyzing device 100 and the user terminal 200 may be performed, for example, via a user interface (UI) displayed in an application pre-installed on the user terminal 200. Alternatively, the exchange may be performed via a UI displayed on a website or web application provided by the display information analyzing device 100 or the like.

[0012] Furthermore, the display information analysis device 100 tally up performance values ​​for each type of environmental behavior for each time unit, such as one month, based on the responses to the questionnaire. Here, environmental behavior refers to, for example, behaviors that a user undertakes as environmental activities, such as saving electricity and water, using public transportation instead of a private car, reducing food waste, using Eco Bags (registered trademark), adjusting the temperature setting of an air conditioner, etc. Furthermore, the performance value for each type of environmental behavior is an index that indicates the degree to which the user has performed each environmental behavior, such as, for example, "actively performed," "occasionally performed," or "not performed at all."

[0013] Furthermore, the display information analysis device 100 identifies fluctuations in the performance values ​​over consecutive time periods, such as from June to October, using the performance values ​​for each type of environmental behavior. The display information analysis device 100 generates information on behavioral changes with respect to the user's environmental behavior, for example, based on the fluctuations in the performance values, and outputs the information to the person in charge terminal 300. Note that output to the person in charge terminal 300 may be performed, for example, via an application pre-installed on the person in charge terminal 300, or a UI displayed on a website or web application provided by the display information analysis device 100 or the like.

[0014] 1 shows the display information analysis device 100 as a single computer, it may be, for example, a distributed computing system made up of multiple computers. Furthermore, the display information analysis device 100 may be, for example, a cloud computing device managed by a service provider that provides cloud computing services.

[0015] The user terminal 200 is, for example, an information processing terminal used by each user. The user terminal 200 may be a mobile terminal such as a smartphone or a tablet PC (Personal Computer), or may be a desktop PC or a notebook PC. An application provided by the display information analysis device 100 or the like for displaying a questionnaire and inputting answers is pre-installed on the user terminal 200. Alternatively, if the user terminal 200 uses a website or web application provided by the display information analysis device 100 or the like that has functions equivalent to those of the application, the application may not need to be installed. The user checks the questionnaire delivered from the display information analysis device 100 via the user terminal 200 and inputs answers to the questionnaire questions.

[0016] The person in charge terminal 300 is an information processing terminal used by, for example, a person in charge of an organization that implements measures to promote environmental behavior. The person in charge terminal 300 may also be a mobile terminal such as a smartphone or tablet PC, or may be a desktop PC or laptop PC. An application for displaying information on user behavior change, provided by the display information analysis device 100 or the like, is pre-installed on the person in charge terminal 300. Alternatively, if the person in charge terminal 300 uses a website or web application provided by the display information analysis device 100 or the like that has functions equivalent to the application, the application may not need to be installed. The person in charge of the organization, for example, checks the information on user behavior change output from the display information analysis device 100 via the person in charge terminal 300 and evaluates the measures to promote environmental behavior.

[0017] [Functional configuration of the display information analysis device 100] Next, a functional configuration of the displayable information analyzing device 100, which is the subject of operation of this embodiment, will be described. Fig. 2 is a diagram showing an example of the configuration of the displayable information analyzing device 100 according to this embodiment. As shown in Fig. 2, the displayable information analyzing device 100 has a communication unit 110, a storage unit 120, and a control unit 130.

[0018] The communication unit 110 is a processing unit that controls communication with other devices such as the user terminal 200, and is, for example, a communication interface such as a network interface card.

[0019] The storage unit 120 is an example of a storage device, such as a memory or a hard disk, that stores various information and programs executed by the control unit 130. The storage unit 120 stores questionnaire data 121, response history data 122, behavioral change data 123, and policy data 124.

[0020] The questionnaire data 121 is, for example, a data table that stores information related to a questionnaire about a user's environmental behavior. Fig. 3 is a diagram showing an example of information stored in the questionnaire data 121 according to this embodiment. As shown in Fig. 3, an example of the questionnaire data 121 stores data items such as "question ID, type, question content" in association with each other.

[0021] For example, an identifier for uniquely identifying a questionnaire question is set in the "Question ID" stored in the questionnaire data 121. For example, an environmental type for classifying environmental actions is set in the "Type." For example, the content of the questionnaire question regarding environmental activities is set in the "Question Content."

[0022] The answer history data 122 is, for example, a data table that stores history information about users' answers to questionnaire questions. Fig. 4 is a diagram showing an example of information stored in the answer history data 122 according to this embodiment. As shown in Fig. 4, an example of the answer history data 122 stores data items such as "user ID, question month, question ID, answer content" in association with each other.

[0023] The "user ID" stored in the answer history data 122 is set to, for example, an identifier for uniquely identifying a user. The "question month" is set to, for example, the month in which the survey question was asked. The "question ID" is set to an identifier for uniquely identifying a survey question, and by setting the same ID as the "question ID" of the survey data 121, the answer history data 122 and the survey data 121 can be linked.

[0024] The "answer content" may be set to, for example, the content of the answer entered by the user to the questionnaire question. The "answer content" may be set to, for example, a numerical value indicating the implementation status of the environmental behavior related to the questionnaire question. More specifically, for example, if the answer is "actively implemented" in the questionnaire question, 3 may be set, if the answer is "occasionally implemented," 2 may be set, and if the answer is "not implemented at all," 1 may be set. Furthermore, if the user has not responded to the questionnaire question, the "answer content" may be set to, for example, "n / a" (null data), as shown in FIG. 4. Alternatively, if the user has not responded to the questionnaire question, data for the question month of the target user may not be created in the answer history data 122.

[0025] The behavioral change data 123 is a data table that stores information about the user's behavioral change with respect to environmental behavior, generated based on, for example, questionnaire responses. The behavioral change information stored in the behavioral change data 123 and a method for generating the information will be described later.

[0026] The policy data 124 is, for example, a data table that stores information about policies for promoting environmental behavior. Fig. 5 is a diagram showing an example of information stored in the policy data 124 according to this embodiment. As shown in Fig. 5, an example of the policy data 124 stores data items such as "policy ID, policy name, policy start date, policy end date" in association with each other.

[0027] The "measure ID" stored in the measure data 124 is set to, for example, an identifier for uniquely identifying a measure for promoting environmental behavior. The "measure name" is set to, for example, the name of the measure for promoting environmental behavior. The "measure start date" and "measure end date" are set to, for example, the start date and end date, respectively, of the measure for promoting environmental behavior.

[0028] It should be noted that various information other than the above data can be stored in the storage unit 120. Furthermore, the data items of each data are not limited to the above contents.

[0029] 2, the control unit 130 is a processing unit, such as a processor, that controls the entire display information analysis device 100. The control unit 130 includes a distribution unit 131, an acquisition unit 132, a generation unit 133, an identification unit 134, and an output unit 135. Each processing unit is an example of an electronic circuit included in the processor or an example of a process executed by the processor.

[0030] The distribution unit 131 distributes, for example, a questionnaire about the user's environmental behavior to the user via the user terminal 200. The questionnaire may be distributed, for example, once a month to collect information about the user's environmental behavior in the past month. The questionnaire may include, for example, a plurality of questions for each environmental type, as shown in FIG. 3. The distribution unit 131 receives the responses to the questionnaire from the user terminal 200, and stores them in the response history data 122 for each user and each question month.

[0031] The acquisition unit 132 acquires first information regarding the user's implementation of environmental behavior, which is, for example, a response to a questionnaire regarding the user's environmental behavior, from each of the first user terminals, which are the user terminals 200. Note that the first information is, for example, stored in advance in the response history data 122 by the distribution unit 131, and therefore can be acquired from the storage in the response history data 122. However, some users may not have responded to the questionnaire in the target question month and there may be no data in the response history data 122. In such cases, information in which the "answer content" is "n / a" (null data) as shown in FIG. 4 may be generated and acquired.

[0032] The generation unit 133 generates second information on the performance values ​​of each type of environmental behavior on an hourly basis, for example, based on the first information of each first user terminal acquired by the acquisition unit 132. The generation unit 133 may also generate fourth information on the performance values ​​of each type of environmental behavior for each combination of user and time unit, for example, based on the first information. The second information and the fourth information are, for example, information in which performance values, which are the degree of implementation of a user's environmental behavior, are compiled for each type of environmental behavior on an hourly basis per month, based on the user's responses to a questionnaire about environmental behavior. An example of a method for generating the information will be described in more detail with reference to FIG. 6.

[0033] FIG. 6 is a diagram showing an example of monthly performance values ​​according to this embodiment. As shown in FIG. 6, the generation unit 133 compiles, for example, the responses of each user to the question "Have you tried to save energy recently?", i.e., performance values, for each question month, based on the responses to the questionnaire stored in the response history data 122. In this case, if the user has not responded, for example, because there is no information in the response history data 122, "n / a" (null data) indicating no response may be used, as shown in FIG. 6. Note that information related to monthly performance values ​​shown in FIG. 6 may be stored, for example, in the behavioral change data 123.

[0034] Returning to the explanation of Fig. 2, the identification unit 134 identifies the fluctuation in the performance value over successive time units, for example, by using the second information generated by the generation unit 133. Furthermore, the identification unit 134 identifies the second fluctuation in the performance value over successive time units for each user, for example, by using the fourth information generated by the generation unit 133. An example of a method for identifying the fluctuation in the performance value will be described in more detail with reference to Figs. 7 to 9.

[0035] FIG. 7 is a diagram illustrating an example of a method (1) for identifying fluctuations in performance values ​​according to this embodiment. The table in the upper part of FIG. 7 is information related to the performance values ​​for each month shown in FIG. 6. As shown in FIG. 7, the identification unit 134 converts, for example, each performance value in the information into a corresponding activity level. As shown in FIG. 7, the activity level is represented by, for example, a numerical value of -1, 1, or 2, and is converted from performance values ​​1 ("actively performed"), 2 ("occasionally performed"), and 3 ("not performed at all"), respectively. Furthermore, for example, when the performance value is "n / a" (null data) indicating no response, the activity level may also be "n / a." Note that when the activity level is null data, the activity level for the current month may be complemented with the activity level for the previous month. Complementing the activity level will be described in more detail with reference to FIG. 8.

[0036] FIG. 8 is a diagram showing an example of a method (2) for identifying a fluctuation in an achievement value according to this embodiment. The table in the upper part of FIG. 8 is information related to the behavioral level shown in the lower part of FIG. 7. As shown in FIG. 8, the identification unit 134, for example, complements the portion of the behavioral level "n / a" (null data), which is highlighted for convenience in FIG. 8, with the behavioral level of the previous month. Furthermore, if there is no behavioral level for the previous month, it may be complemented with 0, for example, as shown in FIG. 8. Note that the information related to the behavioral level shown in the lower part of FIG. 7 and FIG. 8 may also be stored in the behavioral change data 123, for example.

[0037] FIG. 9 is a diagram showing an example of a method (3) for identifying fluctuations in performance values ​​according to this embodiment. The table in the upper part of FIG. 9 is information related to the supplemented activity levels shown in the lower part of FIG. 8. As shown in FIG. 9, the identification unit 134, for example, compares the activity level of each month with the activity level of the previous month, and converts it into a degree of behavioral change, which is the difference between the activity level of the previous month. The degree of behavioral change can be calculated using the formula "(activity level of the target month) - (activity level of the previous month)".

[0038] The degree of behavioral change is expressed, for example, as a numerical value indicating whether the user's environmental behavior has changed positively as a result of more proactive environmental behavior, or whether the user has not actively engaged in environmental behavior and has changed negatively. For example, a positive degree of behavioral change indicates a positive change, and a negative degree of behavioral change indicates a negative change, with the magnitude of the numerical value indicating the degree of change. A positive change, for example, would be when the user did not engage in environmental behavior last month but actively engaged in it this month. On the other hand, a negative change, for example, would be when the user engaged in environmental behavior last month but did not engage in it this month. In this way, the information on the degree of behavioral change shown in the lower part of FIG. 9 can identify fluctuations in performance values ​​over consecutive time periods, such as from June to September. Note that the information on the degree of behavioral change shown in the lower part of FIG. 9 may also be stored, for example, in behavioral change data 123.

[0039] Returning to the explanation of Fig. 2, the output unit 135 calculates, for example, the proportion of the number of people for each second variation in the performance value over consecutive time units based on the identified second variation. For example, when the degree of behavioral change shown in Fig. 9 is 0, it indicates that there has been no behavioral change. However, whether the user continues to actively engage in environmental behavior or maintains a state of not engaging in environmental behavior, there is no behavioral change, and therefore the degree of behavioral change can be 0. Therefore, by calculating the proportion of the number of people for each degree of behavioral change, it becomes easier to analyze the user's behavioral change.

[0040] FIG. 10 is a diagram illustrating an example of a method for calculating the proportion of users for each degree of behavioral change according to this embodiment. The table in the upper part of FIG. 10 is information related to the degree of behavioral change shown in the lower part of FIG. 9. As shown in FIG. 10, the output unit 135 calculates, for example, the proportion of users for each month for each degree of behavioral change. Furthermore, as shown in the lower part of FIG. 10, the proportion of users for each month may be mapped in a matrix format to multiple regions for each degree of behavioral change, and color values ​​for each of the multiple regions may be set according to the magnitude of the proportion. In the example of FIG. 10, the greater the proportion of users, the darker the shade of the region. Then, for example, the output unit 135 generates information related to users' behavioral change, i.e., behavioral change information, as shown in the lower part of FIG. 10 based on the calculated proportion of users, and outputs the information to the staff terminal 300 or the like as fifth information. Note that the behavioral change information shown in the lower part of FIG. 10 includes the proportion of users, but the output unit 135 can output, for example, behavioral change information that does not include the proportion of users and indicates the proportion of users by the shade of the region as third information. The behavior change information may also be stored in the behavior change data 123, for example.

[0041] Then, for example, a person in charge of an organization that implements measures to promote environmental behavior can analyze the information on user behavior change output to the person in charge terminal 300 or the like. Fig. 11 is a diagram showing an example of a method for analyzing behavior change information according to this embodiment. The example in Fig. 11 shows four patterns of behavior change information as various trends when an energy saving point measure for citizens is implemented for two months from July to August.

[0042] For example, pattern (1) shown in the upper left of Figure 11 is an example of behavioral change information when a power-saving point campaign for citizens implemented in July and August was successful. In the behavioral change information for pattern (1), the percentage of people with a negative degree of behavioral change decreased and the percentage of people with a positive degree of behavioral change increased from July to August while the campaign was being implemented, indicating a trend toward positive change. Then, from September onwards after the campaign ended, the percentage of people with a zero degree of behavioral change increased, and positive change was maintained. Therefore, for example, from the behavioral change information for pattern (1), the person in charge can analyze that the power-saving point campaign for citizens implemented in July and August was successful.

[0043] Furthermore, pattern (2) shown in the upper right of Figure 11 is an example of behavioral change information when the energy-saving point campaign implemented for citizens in July and August failed. Similar to pattern (1), the behavioral change information for pattern (2) shows a positive trend from July to August while the campaign was in progress. However, after the campaign ended in September, the proportion of people with a negative degree of behavioral change increased, and the trend toward negative change began. This can be analyzed as meaning, for example, that many users engaged in environmentally friendly behaviors during the campaign because they were awarded points, but after the campaign ended, an increasing number of users stopped engaging in environmentally friendly behaviors because points were no longer awarded. Therefore, for example, from the behavioral change information for pattern (2), a person in charge can conclude that the energy-saving point campaign implemented for citizens in July and August was a temporary campaign and was an overall failure.

[0044] Pattern (3), shown in the lower left of Figure 11, is an example of behavioral change information for other cases. Like pattern (1), the behavioral change information for pattern (3) shows a trend toward positive change from July to August while the campaign was being implemented. However, from September onwards after the campaign ended, the proportion of people with positive and negative behavioral change levels increased at roughly the same rate, resulting in a polarization. Therefore, for example, from the behavioral change information for pattern (3), a person in charge can analyze that the energy-saving points campaign for citizens implemented in July and August was effective for a certain user group, although about half of the users were interested in receiving points.

[0045] Furthermore, pattern (4) shown in the lower right of Figure 11 is an example of behavioral change information in yet another case. The behavioral change information for pattern (4) shows no significant behavioral change from July to August while the campaign was being implemented, but the percentage of people with a positive degree of behavioral change increased from September onwards after the campaign ended, showing a shift towards a positive change trend. This suggests that there may be other factors that contributed to the shift towards a positive change trend, such as the influence of other campaigns, rather than the energy-saving point campaign for citizens implemented in July and August. Therefore, for example, the person in charge can use the behavioral change information for pattern (4) to investigate other factors that contributed to the shift towards a positive change trend and consider incorporating those factors into the next campaign.

[0046] The output unit 135 can output, as the sixth information, information in which the period during which a measure for environmental behavior was implemented, i.e., the measure period, is added to the behavior change information. Fig. 12 is a diagram showing an example of a display of a measure period according to this embodiment. The example in Fig. 12 shows behavior change information to which four patterns of measure period have been added as a highlighting display of the measure period when an energy-saving point measure for citizens was implemented for two months from July to August.

[0047] For example, pattern (a) shown in the upper left of FIG. 12 is an example of behavior change information in which the area for the month of the campaign period is colored. For example, pattern (b) shown in the upper right of FIG. 12 is an example of behavior change information in which the letters for the month of the campaign period are colored. For example, pattern (c) shown in the lower left of FIG. 12 is an example of behavior change information in which the area for the month of the campaign period and the proportion of people in that month are enclosed in a box. For example, pattern (d) shown in the lower right of FIG. 12 is an example of behavior change information in which the area above the area for the month of the campaign period is colored. Note that the patterns in FIG. 12 are merely examples and are not limited to these patterns. Furthermore, the output unit 135 may, for example, output not only the campaign period as shown in each pattern in FIG. 12 but also the name, start date, and end date of the campaign, and the like, in addition to the campaign period. Furthermore, the output unit 135 may, for example, output the campaign period, name, start date, and end date of multiple campaigns in addition to the behavior change information. In this case, for example, the colored areas or the color of the letters may be changed so that the differences between the measures can be easily distinguished.

[0048] Next, an example of outputting behavior change information such as that shown in the lower part of FIG. 10, FIG. 11, and FIG. 12 to a staff member terminal 300 or the like will be described. FIG. 13 is a diagram showing an example screen of the environmental activity promotion system according to this embodiment. The example screen of FIG. 13 is an example of a UI of the environmental activity support system that is displayed, for example, on an application pre-installed on the staff member terminal 300 or on a website or web application provided by the display information analysis device 100 or the like. Various information for supporting environmental activities may be displayed on the UI. In the example of FIG. 13, behavior change information 150 displayed in the lower right is an example of behavior change information.

[0049] FIG. 14 is a diagram showing an example of the display of behavioral change information according to this embodiment. FIG. 14 is an enlarged image of an excerpt from the behavioral change information 150 shown in FIG. 13. In the behavioral change information 150 in FIG. 14, for example, the vertical axis is a first axis indicating an index related to behavioral change, which is the degree of behavioral change, and the horizontal axis is a second axis indicating elapsed time. Furthermore, the shading of each area where the values ​​on both axes intersect indicates the proportion of the number of people for the corresponding degree of behavioral change and elapsed time, as explained using the table in the lower part of FIG. 10. In this way, the output unit 135 can generate information in which, for example, the actual number of people for each change, which is the proportion of the number of people, is mapped onto an area formed at least by the first axis and the second axis, and output the information as third information. More specifically, the output unit 135 can generate an image in which, for example, for each combination of the first axis and the area, a section on the first axis and a section on the second axis, the proportion of people is mapped in a matrix to multiple areas, and the color values ​​of each of the multiple areas are set according to the number of people, and output the image as third information.

[0050] 13 on a UI as shown in Fig. 13 via the person in charge terminal 300, the person in charge can display the behavior change information 150 for the specified type of environmental behavior and period. That is, the output unit 135 receives a predetermined type of environmental behavior and a predetermined period from, for example, the second user terminal which is the person in charge terminal 300. Then, based on, for example, the received predetermined type and predetermined period, the output unit 135 can output the behavior change information 150 related to the predetermined type for the predetermined period as third information to the second user terminal which is the person in charge terminal 300.

[0051] [Processing flow] Next, the flow of a questionnaire distribution process executed by the display information analysis device 100 will be described with reference to Fig. 15. Fig. 15 is a flowchart showing an example of the flow of the questionnaire distribution process.

[0052] 15, when a preset time such as midnight on the first day of each month arrives (step S101: Yes), the display information analysis device 100 generates, for example, a questionnaire regarding the user's environmental behavior (step S102). The questionnaire is generated based on information stored in the questionnaire data 121.

[0053] Next, the display information analyzing device 100 transmits, for example, the questionnaire generated in step S102 to the user terminal 200 (step S103).

[0054] Next, for example, if the user terminal 200 has not received a questionnaire from the display information analysis device 100 (step S104: No), the user terminal 200 waits for receipt of the questionnaire. On the other hand, if the user terminal 200 has received a questionnaire (step S104: Yes), the user terminal 200 displays the questionnaire via, for example, a pre-installed application (step S105).

[0055] Next, when the user inputs answers to the questions in the questionnaire, the user terminal 200 accepts the answers (step S106).

[0056] Next, the user terminal 200 transmits, for example, the answer received in step S106 to the display information analyzing device 100 (step S107).

[0057] Next, for example, if no response to the questionnaire has been received from the user terminal 200 (step S108: No), the display information analyzing device 100 waits for the reception of the response. On the other hand, if a response has been received (step S108: Yes), the display information analyzing device 100 updates the response history of the questionnaire, i.e., the response history data 122, based on the response (step S109). After step S109 is executed, the questionnaire distribution process shown in FIG. 15 ends.

[0058] Next, the flow of behavior change information output processing executed by the display information analysis device 100 will be described with reference to Fig. 16. Fig. 16 is a flowchart showing an example of the flow of behavior change information output processing.

[0059] 16, the display information analyzing device 100 acquires, for example, response history data of a monthly questionnaire about a user's environmental behavior (step S201). The response history data is acquired, for example, from the response history data 122 updated in step S109 of the questionnaire distribution process shown in FIG.

[0060] Next, the display information analyzing device 100 determines whether the answer history data acquired in step S201 contains monthly answer results for each user (step S202). If monthly answer results are present (step S202: Yes), the display information analyzing device 100 converts the answer results into behavior levels (step S203), for example, as described with reference to FIG.

[0061] On the other hand, if there are no monthly response results, that is, if there is "n / a" (null data) (step S202: No), the display information analysis device 100 complements the null data with the activity level of the previous month (step S204), for example, as described with reference to Fig. 8. Strictly speaking, step S204 may be executed on the null data response results after the conversion to the activity level in step S203.

[0062] After step S203 or S204 is executed, if there is unprocessed answer history data of other users (step S205: Yes), the display information analyzing device 100 returns to step S202 and repeats the process on the answer history data of other users.

[0063] On the other hand, if there is no unprocessed answer history data of other users (step S205: No), the display information analysis device 100 calculates the degree of behavioral change from the previous month, for example, as described with reference to FIG. 9 (step S206).

[0064] Next, the display information analyzing apparatus 100 calculates the proportion of the number of people for each degree of behavioral change calculated in step S206, as described with reference to FIG. 10, for example (step S207).

[0065] Next, the display information analysis device 100 generates behavior modification information based on the proportion of the number of people calculated in step S207, as described with reference to FIGS. 10 to 14, for example (step S208).

[0066] Next, the display information analysis device 100 outputs the behavior change information generated in step S208 to, for example, the person in charge terminal 300 (step S209). After step S209 is executed, the behavior change information output process shown in FIG. 16 ends.

[0067] [effect] As described above, the display information analysis device 100 acquires first information regarding the user's implementation of environmental behavior from each of the first user terminals, generates second information regarding the actual values ​​of each type of environmental behavior on a time basis based on the acquired first information from each of the first user terminals, identifies fluctuations in the actual values ​​over consecutive time periods using the second information, and outputs third information regarding the user's behavioral changes based on the identified fluctuations.

[0068] In this way, the display information analysis device 100 outputs user behavior change information using fluctuations in the actual values ​​of environmental behavior over consecutive time periods, such as monthly, determined based on the first information, which is the user's responses to a questionnaire regarding the user's implementation of environmental behavior. This allows a person in charge of implementing measures to promote environmental behavior to use the output behavior change information to more accurately evaluate the measures. Furthermore, because behavior change information is output for each type of environmental behavior, the processing load on the display information analysis device 100 can be reduced.

[0069] In addition, the display information analysis device 100 generates fourth information regarding performance values ​​for each combination of user and time unit based on the first information, identifies second fluctuations in the performance values ​​of each user over consecutive time units using the fourth information, calculates the proportion of people for each second fluctuation in the performance values ​​over consecutive time units based on the identified second fluctuations, and outputs fifth information regarding behavioral changes of the users based on the calculated proportions.

[0070] This allows people in charge of organizations implementing measures to promote environmental behavior to use the output behavior change information to more accurately evaluate measures to promote environmental behavior.

[0071] In addition, the process of outputting the third information executed by the display information analysis device 100 includes a process of generating information in which the actual number of people for each identified variation is mapped onto an area consisting at least of a first axis indicating an indicator related to behavioral change and a second axis indicating elapsed time based on the identified variation, and outputting the information as the third information.

[0072] This allows people in charge of organizations implementing measures to promote environmental behavior to use the output behavior change information to more accurately evaluate measures to promote environmental behavior.

[0073] Furthermore, the process of outputting the third information executed by the display information analysis device 100 includes a process of generating an image in which, based on the identified fluctuations, the actual number of people for each identified fluctuation is mapped in a matrix into multiple areas on an area composed at least of a first axis indicating an indicator of behavioral change and a second axis indicating elapsed time, for each combination of a section on the first axis and a section on the second axis, and setting the color values ​​of each of the multiple areas according to the number of people, and outputting the image as the third information.

[0074] This allows people in charge of organizations implementing measures to promote environmental behavior to use the output behavior change information to more accurately evaluate measures to promote environmental behavior.

[0075] In addition, the display information analysis device 100 accepts a predetermined type of environmental behavior and a predetermined period from the second user terminal, and outputs third information regarding the predetermined type for the predetermined period to the second user terminal based on the accepted predetermined type and predetermined period.

[0076] This allows people in charge of organizations implementing measures to promote environmental behavior to use the output behavior change information to more accurately evaluate measures to promote environmental behavior.

[0077] Furthermore, the display information analysis device 100 generates and outputs sixth information by adding information about the period during which measures for environmental behavior were implemented to the third information.

[0078] This allows people in charge of organizations implementing measures to promote environmental behavior to use the output behavior change information to more accurately evaluate measures to promote environmental behavior.

[0079] [system] The information, including the processing procedures, control procedures, specific names, various data, and parameters shown in the above documents and drawings, may be changed as desired unless otherwise specified. Furthermore, the specific examples, distributions, and numerical values ​​described in the embodiments are merely examples and may be changed as desired.

[0080] Furthermore, the specific form of distribution or integration of the components of the display information analyzing device 100 is not limited to that shown in the figure. For example, the generating unit 133 of the display information analyzing device 100 may be distributed among multiple processing units, or the generating unit 133 and the identifying unit 134 of the display information analyzing device 100 may be integrated into a single processing unit. In other words, all or some of the components may be functionally or physically distributed or integrated in any unit depending on various loads, usage conditions, etc. Furthermore, all or any part of the processing functions of each device may be realized by a CPU (Central Processing Unit) and a program analyzed and executed by the CPU. Alternatively, they may be realized as hardware using wired logic.

[0081] Fig. 17 is a diagram showing an example of the hardware configuration of the display information analyzing apparatus 100 according to this embodiment. As shown in Fig. 17, the display information analyzing apparatus 100 includes a communication interface 100a, a hard disk drive (HDD) 100b, a memory 100c, and a processor 100d. The components shown in Fig. 17 are connected to each other via a bus or the like.

[0082] The communication interface 100a is, for example, a network interface card, and communicates with other information processing devices such as the user terminal 200. The HDD 100b stores, for example, programs and data for operating each function of the display information analysis device 100 shown in FIG.

[0083] The processor 100d is a CPU, a microprocessing unit (MPU), a graphics processing unit (GPU), or the like. The processor 100d may also be implemented by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA). The processor 100d reads, for example, from the HDD 100b, a program that executes the same processes as those of the processing units of the display information analysis device 100 shown in FIG. 2, and loads the program into the memory 100c. This allows the processor 100d to operate as a hardware circuit that executes processes that implement the functions described in FIG. 2, etc.

[0084] Furthermore, the display information analyzing device 100 can also realize the same functions as those of the above-described embodiment by reading the above-described program from a recording medium using a medium reading device and executing the read program. Note that the program in these other embodiments is not limited to being executed by the display information analyzing device 100. For example, the above-described embodiment may also be applied in the same way to cases where another information processing device executes the program or where the display information analyzing device 100 and another information processing device cooperate to execute the program.

[0085] The program may be distributed via a network such as the Internet. The program may also be recorded on a computer-readable storage medium such as a hard disk, a flexible disk (FD), a CD-ROM, a magneto-optical disk (MO), or a digital versatile disk (DVD). The program may then be read from the storage medium and executed by the display information analysis device 100 or the like. [Explanation of symbols]

[0086] 100 Display information analysis device 100a communication interface 100b HDD 100c memory 100d processor 110 Communications Department 120 Storage section 121 Survey Data 122 Response history data 123 Behavioral Change Data 124 Policy Data 130 Control Unit 131 Distribution Department 132 Acquisition Department 133 Generation part 134 Specific part 135 Output section 200 User terminals 300 Personnel terminal

Claims

1. obtaining first information regarding the user's implementation of an environmental behavior from each of the first user terminals; generating second information on a performance value for each type of the environmental behavior for each combination of the user and the time unit based on the first information of each of the acquired first user terminals; using the second information to identify fluctuations in the performance values ​​over successive time units for each of the users; Calculating the ratio of the number of people for each of the fluctuations in the performance values ​​over consecutive time units based on the identified fluctuations; outputting third information regarding the behavioral change of the user based on the calculated ratio; A display information analysis program that causes a computer to execute a process.

2. The process of outputting the third information includes: Based on the identified fluctuations, information is generated in which the actual number of people for each identified fluctuation is mapped on an area formed at least by a first axis indicating an index related to the behavioral change and a second axis indicating elapsed time, and the information is output as the third information.

2. The display information analysis program according to claim 1, further comprising:

3. The process of outputting the third information includes: Based on the identified fluctuations, on an area configured at least with a first axis indicating an index related to the behavioral change and a second axis indicating elapsed time, the actual number of people for each identified fluctuation is mapped in a matrix form into a plurality of areas for each combination of a section on the first axis and a section on the second axis, and an image is generated in which color values ​​of each of the plurality of areas are set according to the number of people, and the image is output as the third information.

2. The display information analysis program according to claim 1, further comprising:

4. receiving a predetermined type of the environmental behavior and a predetermined period from a second user terminal; outputting the third information relating to the predetermined type for the predetermined period to the second user terminal based on the received predetermined type and the predetermined period; 2. The display information analysis program according to claim 1, wherein the program causes the computer to execute processing.

5. Generate and output fourth information by adding information about the period during which the measures for the environmental behavior were implemented to the third information.

2. The display information analysis program according to claim 1, wherein the program causes the computer to execute processing.

6. obtaining first information regarding the user's implementation of an environmental behavior from each of the first user terminals; generating second information on a performance value for each type of the environmental behavior for each combination of the user and the time unit based on the first information of each of the acquired first user terminals; using the second information to identify fluctuations in the performance values ​​over successive time units for each of the users; Calculating the ratio of the number of people for each of the fluctuations in the performance values ​​over consecutive time units based on the identified fluctuations; outputting third information regarding the behavioral change of the user based on the calculated ratio; A display information analysis device comprising a control unit that executes processing.

7. obtaining first information regarding the user's implementation of an environmental behavior from each of the first user terminals; generating second information on a performance value for each type of the environmental behavior for each combination of the user and the time unit based on the first information of each of the acquired first user terminals; using the second information to identify fluctuations in the performance values ​​over successive time units for each of the users; Calculating the ratio of the number of people for each of the fluctuations in the performance values ​​over consecutive time units based on the identified fluctuations; outputting third information regarding the behavioral change of the user based on the calculated ratio; A display information analysis method characterized in that the processing is executed by a computer.

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