Information processing device, information processing method, and program

Abstract

This information processing device comprises: a processing unit that determines the arrangement of ideas associated with a plurality of tags on the basis of the weight of each tag within the plurality of tags; and a display unit that displays a map including the plurality of tags and the ideas having the arrangement determined by the processing unit.

Description

Information processing device, information processing method, and program

[0001] The present invention relates to a technique for visualizing ideas.

[0002] Ideation, the process of generating, developing, and communicating ideas, has been attracting attention in recent years. However, if a facilitator manually maps and groups ideas during ideation, the facilitator's workload increases and the outcome of the ideation process depends on the facilitator's ability. Therefore, a tool that can automatically perform mapping is needed.

[0003] Conventional techniques related to ideation tools include those disclosed in Patent Documents 1 and 2, for example.

[0004] Patent Literature 1 discloses a technology that uses machine learning to extract and record words that represent opinions from a text and then assigns categories to the words based on their meaning. However, this technology cannot record the speaker's thoughts that are not included in the text data.

[0005] Furthermore, Patent Literature 2 discloses a technology that records the ideation process using sticky notes and large paper as image data and visualizes the changes in participants' opinions until a conclusion is reached. However, with this technology, ideation is carried out in the limited space of large paper, making it difficult to aggregate opinions from multiple perspectives.

[0006] Patent Publication No. 2007-241881 Patent Publication No. 2006-24135

[0007] As described above, conventional ideation tools and opinion gathering tools have the ability to record keywords contained in ideas, but they are unable to map and visualize ideas, including their underlying values.

[0008] Even if the keywords between multiple ideas are similar, the intentions and aims may be different, so mapping and visualizing ideas, including the value perceived by the originators (the value underlying the idea), is an important element in aggregating ideas.

[0009] The present invention has been made in consideration of the above points, and aims to provide a technology that enables mapping and visualization of ideas, including their underlying values.

[0010] According to the disclosed technology, an information processing device is provided that includes: a processing unit that determines the placement of ideas linked to multiple tags based on the weight of each tag among the multiple tags; and a display unit that displays a map including the ideas and the multiple tags in the placement determined by the processing unit.

[0011] The disclosed technology provides a technique that allows ideas, including their underlying values, to be mapped and visualized.

[0012] FIG. 1 is a diagram for explaining an example of a method for arranging (displaying) tags and ideas using tag weights. FIG. 2 is a diagram showing an example of a case where a plurality of ideas and a plurality of tags from a plurality of perspectives are arranged. FIG. 3 is a diagram showing an example of perspectives and tags. FIG. 4 is a diagram showing the relationship between a map, perspectives and tags. FIG. 5 is a diagram showing an image of creating a new map by merging map A and map B. FIG. 6 is a diagram showing an example of the configuration of an idea aggregation device 400. FIG. 7 is a diagram showing processing flow example 1. FIG. 8 is a diagram showing processing flow example 2. FIG. 9 is a diagram showing an example of the hardware configuration of the device.

[0013] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The embodiment described below is merely an example, and the embodiment to which the present invention is applied is not limited to the following embodiment.

[0014] (Outline of the embodiment) In this embodiment, an idea aggregation device 400 (described later) creates an idea map (hereinafter referred to as a map) that combines multiple perspectives of an idea, where the multiple tags represent the value of the idea as perceived by the originator of the idea, and visualizes the idea. In this embodiment, the visualized "idea" is, for example, a sentence or paragraph, but is not limited to this.

[0015] The following operation examples 1 and 2 are general operation examples of the idea aggregation device 400. The following operation examples also include the actions of a person (here, a facilitator) who is a prerequisite for the operation of the idea aggregation device 400. Note that operation example 2 is based on operation example 1.

[0016] (Operation Example 1) Step A: The facilitator assigns one or more tags to an idea. The multiple tags assigned to one idea have different priorities. In this embodiment, this priority is called a tag weight. It is also possible for the idea aggregation device 400 to automatically assign tags based on ideas.

[0017] Step B: The idea aggregating device 400 creates a map in which ideas and tags are arranged in a two-dimensional space so that the tag weights are reflected, and displays the map.

[0018] In addition, when the idea aggregating device 400 displays a map, it may mean that the idea aggregating device 400 displays the map on its own display, or that the idea aggregating device 400 transmits map information to a remote terminal via a network, thereby displaying the map on the terminal.

[0019] Both the facilitator and the idea aggregating device 400 can create multiple tags for each of the different multiple perspectives, and the idea aggregating device 400 can create a map for each tag perspective.

[0020] By performing the operation according to the first operation example, ideas linked to multiple tags can be arranged in a two-dimensional space, thereby making the ideas visible.

[0021] (Operation Example 2) Step A: The facilitator sets which viewpoint to prioritize for multiple maps created based on multiple different viewpoints. Information indicating which viewpoint to prioritize is called mapping priority. Mapping priority is sometimes called mapping ratio data.

[0022] Step B: The idea aggregation device 400 merges multiple maps according to the mapping priority of each perspective, creates a new map, and displays it. The ideas and tags in the new map are arranged in a way that reflects the tag weight of each tag and the mapping priority of each perspective.

[0023] The operation according to the second operation example makes it possible to visualize an idea by incorporating multiple perspectives, such as keywords and values ​​of the idea.

[0024] (Example of Arrangement Using Tag Weight) Here, an example of a method for arranging (displaying) tags and ideas using tag weight, which is executed by the idea aggregation device 400, will be described with reference to Fig. 1. The tag weight is a value that indicates the strength with which each of multiple tags associated with an idea is to be linked to the idea.

[0025] First, the idea aggregation device 400 associates tags with ideas. This process may be performed manually. Next, the idea aggregation device 400 creates an N×N grid diagram and places tags at any positions within the N×N grid (gray cells in FIG. 1 ). Tags may be placed manually. The N×N grid on which the tags are placed corresponds to a tag space.

[0026] Next, the idea aggregating device 400 arranges the ideas so as to reflect the tag weights. Here, it is assumed that idea A is linked to tags 1 to 3. Furthermore, it is assumed that the tag weights set for tags 1 to 3 are tag 1: tag 2: tag 3 = 1:2:1. In this case, as shown in FIG. 1, the idea aggregating device 400 arranges idea A so that the distance between idea A and the tag is the reciprocal of the ratio of the tag weights. In the example of FIG. 1, tag 2, which has the highest tag weight, is arranged closest to idea A.

[0027] Furthermore, for example, if the tag weights of the three tags are 1:1:1, the idea is placed at the position that is the center of gravity of the tags placed in the tag space.

[0028] The linking of ideas with tags and the generation of tag spaces may be performed in reverse order, or may be performed simultaneously.

[0029] (Regarding viewpoints and tags) A viewpoint is information that serves as an axis for classifying ideas, and one viewpoint has one or more tags. A tag is a term used to classify ideas along a certain axis (a certain viewpoint), and one idea has one or more tags. In other words, one idea has one or more tags for each viewpoint in one or more viewpoints.

[0030] An example of linking multiple tags from multiple perspectives to an idea when creating an fusion map is shown in Figure 2. In the example of Figure 2, tags 1 and 2 created from perspective A and tag 1 created from perspective B are linked to idea 1, and tags 2 and 3 created from perspective A and tag 2 created from perspective B are linked to idea 2.

[0031] As an example, Figure 3 shows examples of perspectives and tags that are expected in an ideation session with the theme "Communication Workshop for New Employees."

[0032] (Regarding Mapping Priority) Mapping priority is a value that indicates which perspective should be strongly reflected in the new map when creating a new map (when performing mapping) by combining multiple perspectives as shown in Operation Example 2.

[0033] For example, if you want to perform mapping that strongly reflects the category (perspective A) between perspective A "idea category" and perspective B "emotions caused by the idea," the mapping priority of perspective A is set higher than the mapping priority of perspective B. Figure 4 shows the relationship between maps, perspectives, and tags.

[0034] (Regarding Fusion) As described in the second operational example, the idea aggregation device 400 fuses multiple maps according to the mapping priority of each perspective to create a new map (fusion map). Here, an example of a fusion method will be described.

[0035] For example, suppose that for viewpoint A, map A having ("Idea 1: tag a, tag b, tag c", "Idea 2: tag d, tag e, tag f") is created, and for viewpoint B, map B having ("Idea 1: tag g, tag h, tag i", "Idea 2: tag j, tag k, tag l") is created and displayed. Also, suppose that the ratio of mapping priority between viewpoint A and viewpoint B is given as viewpoint A: viewpoint B = 2:1.

[0036] In this case, the idea aggregation device 400 merges map A and map B to create a new map having ("Idea 1: tag a, tag b, tag c, tag g, tag h, tag i", "Idea 2: tag d, tag e, tag f, tag j, tag k, tag l"). When the new map is displayed, the tags from perspective A, which has a higher priority, appear to be displayed closer to the ideas. A more specific merging method is as follows.

[0037] In each of the maps to be merged, each tag is already located in the tag space, and its position does not change due to the merge, regardless of the mapping priority.

[0038] That is, when merging map A and map B, the idea aggregating device 400 generates a tag space of a new map by simply superimposing the tag space of map A and the tag space of map B.

[0039] Note that the tag space is only used to map tags onto a two-dimensional space, and the concept of tag space no longer exists after the new map is generated. The new map simply retains the positional relationships between ideas. The same applies when generating a single-perspective map. Note that this mapping method is just one example.

[0040] When the idea aggregation device 400 overlays map A and map B as described above, it uses the mapping priority to determine how strongly to reflect the tag placement from perspective A or the tag placement from perspective B in the new map, and creates the new map based on that determination.

[0041] An image of creating a new map by merging map A and map B is shown in Fig. 5. Fig. 5(a) shows a case where the mapping priority is "perspective A:perspective B = 1:1", and Fig. 5(b) shows a case where the mapping priority is "perspective A:perspective B = 2:1".

[0042] 5(a) and 5(b) show an image of a new map, a merged map, being created without changing the tag positions of map A and map B before and after merging. It also shows that the placement positions of ideas are adjusted according to the mapping priority. The placement positions of ideas on the merged map are the same as when ideas are mapped on a single-perspective map according to the tag weights. In other words, ideas are placed so that the distance between the ideas and the tags is the inverse of the ratio of the perspective priorities.

[0043] In addition, fusion may be achieved by placing ideas on the fusion map based on the coordinates of map A, and then adjusting the coordinates of the ideas on the fusion map with reference to the coordinates of map B.

[0044] An example of the configuration and operation of the idea aggregation device 400 will be described below.

[0045] (Device Configuration Example) Fig. 6 shows a configuration example of an idea aggregating device 400 according to this embodiment. As shown in Fig. 6, the idea aggregating device 400 includes an input unit 100, a generating unit 200, and a display unit 300.

[0046] The idea aggregation device 400 may be a single physical device, or may be physically comprised of multiple devices. For example, the input unit 100, the generation unit 200, and the display unit 300 may each be a separate device. Also, for example, the input unit 100 may be a single device, and the "generation unit 200 and the display unit 300" may be a single device. Each of these devices may be called an information processing device. Also, the idea aggregation device 400 may be called an idea aggregation system or an information processing device.

[0047] For example, the input unit 100 and the display unit 300 may each be a client terminal (e.g., a PC, a smartphone, etc.), and the generation unit 200 may be a server on a network.

[0048] 6, the input unit 100 includes an idea input unit 110, a tag weight data input unit 120, and a mapping priority input unit 130. The generation unit 200 includes a tag space generation unit 210 and a processing unit 220.

[0049] The input unit 100 is divided into an idea input unit 110, a tag weight data input unit 120, and a mapping priority input unit 130, but this division of functions is merely an example. The input unit 100 may also be a functional unit that inputs any information and transmits the information to the generation unit 200.

[0050] The generation unit 200 also has a tag space generation unit 210 and a processing unit 220. However, this division of functions is just one example. For example, the tag space generation unit 210 may be included in the processing unit 220. The placement determination and fusion processing described with reference to Figures 1, 5, etc. are executed by the processing unit 220. A map having a placement determined or fused by the processing unit 220 is displayed by the display unit 300.

[0051] Note that displaying a map by the display unit 300 may mean that the display unit 300 displays the map on its own display, or that the display unit 300 transmits map information to a remote terminal via a network and causes the terminal to display the map. The functions of each unit will be described below.

[0052] <Idea Input Unit 110> An operator inputs ideas generated during an idea creation task (e.g., a workshop) into the idea input unit 110. The idea input unit 110 outputs the input idea as text data. Note that while an example using text data is shown here, other data besides text data, such as illustrations, can also be used.

[0053] <Tag Space Generator 210> The tag space generator 210 receives idea data as input and outputs tag data and tag space data.

[0054] That is, when tags are previously assigned to ideas, the tag space generation unit 210 uses the tags to generate a tag space in which the tags are arranged in a two-dimensional space. More specifically, the "tag space" includes, as information, a set of "tags and their coordinates."

[0055] If no tags have been assigned to the idea in advance, the tag space generation unit 210 can generate tags from the text data of the idea and use the tags to generate the tag space. The tag space generation unit 210 can also automatically assign tag weights. For example, the number of occurrences of tag-related words in the text data of the idea can be used as the tag weight.

[0056] The tag space generation unit 210 can also generate tags from multiple perspectives. When an operator manually inputs a tag from the input unit 100, the tag space generation unit 210 can receive the tag and generate a tag space using the tag.

[0057] <Tag Weight Data Input Unit 120> The tag weight data input unit 120 receives idea data, tag data, and tag weight data as input, and outputs tag weight data linked to the idea data. Specifically, the tag weight data input unit 120 generates idea-tag weight data that links the idea data with the tag weight data input by the operator.

[0058] <Mapping Priority Input Unit 130> The mapping priority input unit 130 receives mapping priorities as input and outputs mapping ratio data. Note that the mapping priorities and mapping ratio data are synonymous. That is, the mapping priority input unit 130 outputs the mapping priorities for each perspective input by the operator as mapping ratio data.

[0059] <Processing Unit 220> The processing unit 220 receives idea-tag data, which is data linking ideas with tags, mapping ratio data, and tag space data as input, and outputs idea coordinate data and grouping data.

[0060] Specifically, the processing unit 220 inputs each piece of input data into a stored mapping algorithm (program), and generates the coordinates of ideas in the tag space (two-dimensional space) as a result of executing the program. Furthermore, the processing unit 220 generates grouping data for the ideas. Here, grouping may refer to determining the arrangement of ideas linked to tags using tag weights, or may refer to merging multiple maps using the method described above. Furthermore, three- or more-dimensional coordinates may be used as the tag space, and mapping may be performed in a space of three or more dimensions.

[0061] <Display unit 300> The display unit 300 receives the idea coordinate data, grouping data, etc. as input, and outputs a map on which ideas and tags are arranged and grouped. That is, the display unit 300 arranges ideas based on the coordinate data and displays them as a map. The map also includes multiple tags arranged by the processing unit 220.

[0062] Below, as examples of the processing flow, processing flow example 1 and processing flow example 2 will be described.

[0063] (Processing Flow Example 1) First, processing flow example 1 will be described with reference to Fig. 7. Processing flow example 1 is a flow in which the tag space generation unit 210 automatically generates tags. Fig. 7 (and Fig. 8) clearly show the subjects of the operations (idea creation work, facilitator, system). Also, here, the idea aggregation device 400 is referred to as the system.

[0064] In S101 (step 101) of Fig. 2, in the idea generation work, a group submits ideas for a theme. Note that in the example described here, the idea generation work is performed by a single group consisting of multiple people, but this is not limited to this. For example, the technology according to the present invention can be applied to both cases where the idea generation work is performed by multiple groups and where the idea generation work is performed by one person.

[0065] In S102, the facilitator inputs an idea to the idea input section 110. The idea data is transmitted from the idea input section 110 to the tag space generation section 210. In S103, the tag space generation section 210 generates tags and a tag space.

[0066] In S104, the facilitator inputs tag weight data to the tag weight data input unit 120. As a result, idea-tag weight data in which the ideas and tag weights are linked together is transmitted from the tag weight data input unit 120 to the processing unit 220.

[0067] In S105, the facilitator inputs the mapping priority to the mapping priority input unit 130. As a result, the mapping ratio data is transmitted from the mapping priority input unit 130 to the processing unit 220.

[0068] In S106, the processing unit 220 arranges the ideas in a two-dimensional space and performs grouping, and the display unit 300 displays an idea map.

[0069] In S107, the facilitator checks the idea map to determine whether the mapping is appropriate. If the result of the check is OK, in S108, the idea is refined through an idea creation task.

[0070] If the result of the determination in S107 is NG, the facilitator determines the content of the correction, such as whether manual correction is possible, in S109. If manual correction is possible (OK in S109), the facilitator manually corrects the placement in S110. If it is determined in S109 that manual correction is not possible, the process returns to S102.

[0071] (Processing Flow Example 2) Next, processing flow example 2 will be described with reference to Fig. 8. Processing flow example 2 is a flow in which an operator (e.g., a facilitator) manually generates tags and a tag space.

[0072] 8, in the idea creation task, the group generates ideas for a theme. In S202, the facilitator assigns tags to the ideas.

[0073] In S203, the facilitator inputs an idea to the idea input unit 110. The idea data is transmitted from the idea input unit 110 to the tag space generation unit 210.

[0074] In S204, the facilitator inputs tag-tag weight data, in which tags and tag weights are linked, to the tag weight data input unit 120. As a result, idea-tag weight data is transmitted from the tag weight data input unit 120 to the processing unit 220.

[0075] In S205, the facilitator manually creates a tag space. The data of the created tag space is input to the processing unit 220.

[0076] In S206, the facilitator inputs the mapping priority to the mapping priority input unit 130. As a result, the mapping ratio data is transmitted from the mapping priority input unit 130 to the processing unit 220.

[0077] In S207, the processing unit 220 arranges the ideas in a two-dimensional space and performs grouping, and the display unit 300 displays an idea map.

[0078] In S208, the facilitator checks the idea map to determine whether the mapping is appropriate. If the result of the check is OK, in S209, the idea is refined through an idea creation task.

[0079] If the result of the determination in S208 is NG, the facilitator determines the content of the correction, such as whether manual correction is possible, in S210. If manual correction is possible (OK in S210), the facilitator manually corrects the placement in S211. If it is determined in S210 that manual correction is not possible, the process returns to S202.

[0080] It is also possible for the operator to manually create only the tags, and for the tag space generation unit 210 to generate the tag space.

[0081] (Example) Next, a more specific example will be described as an example. Here, the flow of ideation with the theme "communication workshop for new employees" will be described. Examples of viewpoints and tags in ideation with the theme "communication workshop for new employees" are as shown in FIG. 6. In this example, two maps are created from two different viewpoints, and then a map is created by combining the two maps.

[0082] In this embodiment, the tag space for one of the two perspectives is a tag space based on the Well-being perspective prepared in advance by the facilitator, and the tag space for the other perspective is automatically generated by the idea aggregation device 400.

[0083] The flow of ideation will be described below. In the following, a person who performs operations such as input to the idea aggregating device 400 will be referred to as an operator.

[0084] S1: Brainstorm ideas for program content for a workshop to stimulate communication in small groups (e.g., a team escape game).

[0085] S2: Consider what well-being value the ideas that come up have (e.g., collaboration, achievement, enthusiasm).

[0086] S3: The operator inputs the idea generated in S1 and a tag space from the perspective of well-being that has been prepared in advance into the idea aggregation device 400.

[0087] S4: For example, when the operator specifies a viewpoint (e.g., idea category) to the idea aggregating device 400, the idea aggregating device 400 automatically generates a tag space of a second viewpoint for the idea input in S3.

[0088] S5: For each perspective, the operator associates an idea with a tag and inputs the ideas into the idea aggregating device 400.

[0089] S6: The operator inputs the tag weight of each tag linked to the idea into the idea aggregating device 400.

[0090] S7: The operator inputs into the idea aggregating device 400 a mapping priority indicating which of the two perspectives should be prioritized when creating a map (e.g., well-being value: idea category = 6:4).

[0091] S8: The idea aggregating device 400 displays a map that reflects the tag weights and mapping priorities.

[0092] S9: The operator adjusts the layout on the map as necessary.

[0093] S10: The operator (or the idea aggregating device 400) refines the ideas by combining ideas that are located nearby, discovering original ideas that are located far away, and so on.

[0094] (Hardware Configuration Example) Any of the devices described in this embodiment (the idea aggregation device 400, the input unit 100, the generation unit 200, the display unit 300, the information processing device, etc.) can be realized by, for example, causing a computer to execute a program. This computer may be a physical computer or a virtual machine on the cloud.

[0095] That is, the device can be realized by executing a program corresponding to the processing performed by the device using hardware resources such as a CPU and memory built into a computer. The program can be recorded on a computer-readable recording medium (such as a portable memory) and stored or distributed. The program can also be provided via a network such as the Internet or email.

[0096] Fig. 9 is a diagram showing an example of the hardware configuration of the computer. The computer in Fig. 9 includes a drive device 1000, an auxiliary storage device 1002, a memory device 1003, a CPU 1004, an interface device 1005, a display device 1006, an input device 1007, an output device 1008, and the like, all of which are interconnected via a bus B. The computer may further include a GPU.

[0097] The program that realizes the processing on the computer is provided by a recording medium 1001, such as a CD-ROM or a memory card. When the recording medium 1001 storing the program is set in the drive device 1000, the program is installed from the recording medium 1001 to the auxiliary storage device 1002 via the drive device 1000. However, the program does not necessarily have to be installed from the recording medium 1001, but may be downloaded from another computer via a network. The auxiliary storage device 1002 stores the installed program as well as necessary files, data, etc.

[0098] The memory device 1003 reads and stores a program from the auxiliary storage device 1002 when an instruction to start the program is received. The CPU 1004 realizes functions related to the device in accordance with the program stored in the memory device 1003. The interface device 1005 is used as an interface for connecting to a network, etc. The display device 1006 displays a GUI (Graphical User Interface) or the like according to the program. The input device 1007 is composed of a keyboard, mouse, buttons, a touch panel, etc., and is used to input various operation instructions. The output device 1008 outputs the results of calculations.

[0099] (Summary, Effects, etc. of the Embodiments) As described above, the technology described in the present embodiments makes it possible to map and visualize ideas, including the underlying values.

[0100] The following additional notes are provided regarding the above-described embodiments.

[0101] <Additional Notes> (Additional Item 1) An information processing device comprising: a processing unit that determines the arrangement of ideas linked to a plurality of tags based on the weight of each tag in the plurality of tags; and a display unit that displays a map including the ideas and the plurality of tags in the arrangement determined by the processing unit. (Additional Item 2) The information processing device according to Additional Item 1, wherein, in the map, a tag with a certain weight is arranged closer to the idea than a tag with a weight smaller than the certain weight. (Additional Item 3) The information processing device according to Additional Item 1, wherein the idea is linked to a plurality of perspectives, and the display unit displays a map for each perspective in the plurality of perspectives. (Additional Item 4) The information processing device according to Additional Item 1, wherein the idea is linked to a plurality of perspectives, and each perspective in the plurality of perspectives is assigned a priority. (Additional Item 5) The information processing device according to Additional Item 4, wherein the display unit displays a map that combines a plurality of maps from the plurality of perspectives based on the priority of each perspective. (Supplementary Item 6) An information processing method executed by an information processing device, comprising the steps of: determining a layout of ideas linked to a plurality of tags based on the relative weights of each tag among the plurality of tags; and displaying a map including the ideas and the plurality of tags in the layout determined by the steps. (Supplementary Item 7) A non-transitory storage medium storing a program for causing a computer to function as each unit in the information processing device described in any one of Supplementary Items 1 to 5.

[0102] Although the present embodiment has been described above, the present invention is not limited to such a specific embodiment, and various modifications and changes are possible within the scope of the gist of the present invention described in the claims.

[0103] REFERENCE SIGNS LIST 100 Input unit 110 Idea input unit 120 Tag weight data input unit 130 Mapping priority input unit 200 Generation unit 210 Tag space generation unit 220 Processing unit 300 Display unit 400 Idea aggregation device 1000 Drive device 1001 Recording medium 1002 Auxiliary storage device 1003 Memory device 1004 CPU 1005 Interface device 1006 Display device 1007 Input device 1008 Output device

Claims

1. An information processing device comprising: a processing unit that determines the placement of ideas linked to multiple tags based on the weight of each tag among the multiple tags; and a display unit that displays a map including the ideas and the multiple tags in the placement determined by the processing unit.

2. The information processing device according to claim 1, wherein in said map, a tag having a certain weight is placed closer to said idea than a tag having a weight smaller than said weight.

3. The information processing device according to claim 1, wherein the idea is linked to a plurality of perspectives, and the display unit displays a map for each of the plurality of perspectives.

4. The information processing device according to claim 1, wherein the idea is linked to a plurality of viewpoints, and a priority is assigned to each viewpoint among the plurality of viewpoints.

5. The information processing device according to claim 4, wherein the display unit displays a map obtained by fusing the plurality of maps from the plurality of viewpoints based on the priority of each viewpoint.

6. An information processing method executed by an information processing device, comprising: a step of determining the placement of ideas linked to multiple tags based on the weight of each tag among the multiple tags; and a step of displaying a map including the ideas and the multiple tags with the placement determined by the step.

7. A program for causing a computer to function as each unit in the information processing device according to any one of claims 1 to 5.

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