Information processing system, information processing method, and program for spatial impressions.

Abstract

We provide information processing systems and the like that can adjust the impression of a space. [Solution] According to one aspect of the present invention, an information processing system is provided, comprising at least one processor, the processor being configured to perform the following steps by reading a program: in the acquisition step, a desired impression value representing the desired impression for a given space is acquired; in the identification step, one or more items having impression adjustment values ​​that match the desired impression value are identified as a group of items recommended for placement in the space, the impression adjustment value being a value representing the impression of an item; and in the presentation step, characteristic information corresponding to the group of items is presented to the user.

Description

Technical Field

[0001] The present invention relates to an information processing system, an information processing method, and a program for spatial impression.

Background Art

[0002] As disclosed in Patent Document 1, an apparatus for generating an image with adjusted impression is known.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the above system, although an image can be designed based on an impression, adjustment of the impression with respect to space is not assumed.

[0005] <00000​​​​​​​​​​​In this configuration, the user can select items to create a space with the desired impression. As a result, the impression of the space can be adjusted using these items. [Brief explanation of the drawing]

[0008] [Figure 1] This is a diagram showing the configuration of Information Processing System 1. [Figure 2] This is a block diagram showing the hardware configuration of the information processing device 2. [Figure 3] This is a block diagram showing the hardware configuration of user terminal 3. [Figure 4] This is a functional block diagram showing the functions of the information processing device 2. [Figure 5] This flowchart shows an overview of the processes performed by Information Processing System 1. [Figure 6] This is an activity diagram showing a specific example of processing performed by Information Processing System 1. [Figure 7] This is an example of an item list table T1. [Figure 8] This figure shows an example of a map illustrating the distribution of keywords displayed on user terminal 3. [Figure 9] This figure shows a two-axis chart used to explain the adjustment of impression values. [Figure 10] This shows an example of an information display screen 6 that is shown on the display unit 34 of the user terminal 3. [Figure 11] This is an activity diagram for cases where image information including feature information IF4 is included. [Figure 12] An example of an image displayed on a terminal or other device installed in a space is shown. [Figure 13] This is a diagram showing the indoor space SP. [Modes for carrying out the invention]

[0009] Embodiments of the present invention will be described below with reference to the drawings. The various features shown in the embodiments below can be combined with each other.

[0010] Incidentally, the program for implementing the software appearing in one embodiment may be provided as a non-transitory computer-readable medium, or it may be provided as a downloadable medium from an external server, or it may be provided so that the program is launched on an external computer and its functions are realized on a client terminal (so-called cloud computing).

[0011] Furthermore, in various information processing according to one embodiment, an input and an output corresponding to the input can be realized. Here, as long as an output is obtained as a result of the input, the form of the information referenced in such information processing (hereinafter referred to as "reference information") is not limited. The reference information may be, for example, rule-based information such as a database, a lookup table, or a predetermined function (including a decision formula such as a regression equation constructed by a statistical method), or a pre-trained model that has learned the correlation between input and output in advance, or a large-scale language model that can output a desired result by inputting a prompt.

[0012] Furthermore, in one embodiment, "part" may include, for example, hardware resources implemented by a circuit in a broad sense, and the information processing of software that can be specifically realized by these hardware resources. Also, in one embodiment, various types of information are handled, and this information can be represented, for example, by the physical values ​​of signal values ​​representing voltage and current, the high or low values ​​of signal values ​​as a set of binary bits composed of 0s or 1s, or by quantum superposition (so-called qubits), and communication and calculations can be performed on a circuit in a broad sense.

[0013] Furthermore, a circuit in a broad sense is a circuit realized by appropriately combining at least a circuit, circuitry, a processor, a memory, etc. The processor may be a general-purpose processor or a dedicated circuit. That is, it includes an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)), etc.

[0014] 1. Hardware Configuration In this section, the hardware configuration of an embodiment will be described.

[0015] 1.1 Information Processing System 1 FIG. 1 is a configuration diagram showing an information processing system 1. The information processing system 1 includes an information processing device (server device) 2 and a user terminal 3. The information processing device 2 and the user terminal 3 are configured to be communicable through a communication network 11. In one embodiment, the information processing system 1 is composed of one or more devices or components. For example, if it consists only of the information processing device 2, the information processing system 1 can be the information processing device 2. Hereinafter, these components will be described.

[0016] 1.2 Information Processing Device 2 FIG. 2 is a block diagram showing the hardware configuration of the information processing device 2. The information processing device 2 includes a communication bus 20, a communication unit 21, a storage unit 22, and a control unit (processor included in the information processing device 2) 23. The communication unit 21, the storage unit 22, and the processor 23 are electrically connected inside the information processing device 2 via the communication bus 20.

[0017] <Communications Department 21> The communication unit 21 preferably uses wired communication methods such as USB, IEEE1394, Thunderbolt®, and wired LAN network communication, but may also include wireless LAN network communication, mobile communication such as 3G / LTE / 5G, and Bluetooth® communication as needed. In other words, it is more preferable to implement it as a collection of these multiple communication methods. That is, the information processing device 2 may communicate various information from the outside via the communication unit 21 and the network.

[0018] <Storage section 22> The memory unit 22 stores various types of information as defined above. This can be implemented, for example, as a storage device such as a solid-state drive (SSD) that stores various programs related to the information processing device 2 executed by the processor 23, or as memory such as random access memory (RAM) that stores temporarily necessary information (arguments, arrays, etc.) related to program calculations. The memory unit 22 stores various programs and variables related to the information processing device 2 executed by the processor 23.

[0019] <Processor 23> The processor 23 performs processing and control of the overall operation related to the information processing device 2. The processor 23 is, for example, a central processing unit (CPU) not shown. The processor 23 realizes various functions related to the information processing device 2 by reading predetermined programs stored in the memory unit 22. That is, information processing by software stored in the memory unit 22 can be concretely realized by the processor 23, which is an example of hardware, and executed as each functional unit included in the processor 23. These will be described in more detail in the next section. Note that the processor 23 is not limited to being a single unit, and may be implemented with multiple processors 23 for each function, or a combination thereof.

[0020] 1.3 User Terminal User terminal 3 is a device owned by the user. User terminal 3 is a device operated by the user. User terminal 3 can be a smartphone, tablet, computer, wearable device such as smart glasses or smartwatch, game console, voice assistant device, in-vehicle terminal, VR / AR device, or any other device that can access the information processing device 2 via a telecommunications line, regardless of its form. User terminal 3 may also be installed in space.

[0021] Figure 3 is a block diagram showing the hardware configuration of user terminal 3. The following explanation will use user terminal 3 as an example. User terminal 3 comprises a communication bus 30, a communication unit 31, a storage unit 32, a control unit (processor) 33, a display unit 34, and an input unit 35. The communication unit 31, storage unit 32, processor 33, display unit 34, and input unit 35 are electrically connected within user terminal 3 via the communication bus 30. The explanation of the communication unit 31, storage unit 32, and processor 33 is the same as the explanation of each part in the information processing device 2 and will therefore be omitted.

[0022] <Display section 34> The display unit 34 displays a graphical user interface (GUI) screen that can be operated by the user. The display unit 34 may be included in the casing of the user terminal 3 or it may be an external component. Specifically, the display unit 34 may be implemented as a display device such as a CRT display, liquid crystal display, organic EL display, or plasma display. It is preferable that these display devices be used according to the type of user terminal 3.

[0023] <Input section 35> The input unit 35 receives operation input from the user. The operation input is transmitted to the processor 33 via the communication bus 30 as a command signal. The processor 33 can perform predetermined controls or calculations based on the transmitted command signal as needed. The input unit 35 may be included in the casing of the user terminal 3 or it may be external. For example, the input unit 35 may be implemented as a touch panel integrated with the display unit 34. When the input unit 35 is implemented as a touch panel, the user can input tap operations, swipe operations, etc. to the input unit 35. Instead of a touch panel, the input unit 35 can be a switch button, a mouse, a QWERTY keyboard, etc.

[0024] 2. Functional Configuration This section describes the functional configuration. Figure 4 is a functional block diagram showing the functions of the information processing device 2. As mentioned above, the information processing performed by the software stored in the memory unit 22 is concretely realized by the processor 23, which is an example of hardware, and can be executed as each functional unit included in the processor 23.

[0025] Specifically, the information processing device 2 (control unit 23) includes, as functional units, a reception unit 231, an acquisition unit 232, a identification unit 233, an extraction unit 234, a determination unit 235, a display control unit 236, an impression prediction unit 237, and an artificial intelligence unit 238.

[0026] The reception unit 231 is configured to receive various types of information as a reception step. Specifically, the reception unit 231 is configured to receive information via the communication unit 21 or the storage unit 22 and to be readable into the working memory. Preferably, the reception unit 231 receives information about a predetermined space or desired impression values ​​via the input unit 35 of the user terminal 3, etc. The "predetermined space" is a space used by the user, such as a space within an office.

[0027] Furthermore, "impression value" is a numerical value that represents the impression a person feels towards a certain object, while "desired impression value" is a numerical value that represents the impression a person desires for a given space. In other words, the desired impression value is a numerical value that represents the impression one wants others to feel about a given space, or the impression one wants to feel about a given space. The desired impression value can be represented, for example, by the impression value of a given space with items placed in it. Here, "items" refer to objects that can be placed in a space, such as office furniture.

[0028] The acquisition unit 232 is configured to acquire various types of information as an acquisition step. Specifically, the acquisition unit 232 acquires spatial information or desired impression values ​​related to a predetermined space that are received by the reception unit 231 via the user terminal 3. "Spatial information" includes information related to the predetermined space, such as images of the space.

[0029] The identification unit 233 is configured to identify various pieces of information as an identification step. Specifically, based on the desired impression value and the first reference information IF1, the identification unit 233 identifies one or more items having impression adjustment values ​​that match the desired impression value as a group of items recommended for placement in the space. The "impression adjustment value" is a value used to adjust the impression of the space and is represented by a value that represents the impression of the item. The first reference information IF1 is, for example, a table in which at least the identification information of each item and the impression adjustment value of that item are associated. The group of items also includes one or more items having impression adjustment values ​​within a predetermined range.

[0030] The extraction unit 234 is configured to extract various types of information as an extraction step. Specifically, the extraction unit 234 extracts feature information IF4 corresponding to the item group based on the item group and the first reference information IF1. Feature information IF4 is information that represents the characteristics of the items included in the item group. The characteristics of the items here include, for example, the appearance of the items.

[0031] The decision unit 235 is configured to determine various pieces of information as a decision step. Specifically, the decision unit 235 determines the desired impression value based on spatial information received by the reception unit 231 via the user terminal 3, for example.

[0032] The display control unit 236, as a display control step, causes various information stored in the storage unit 22, or screens containing such information, to be displayed in a manner that can be viewed on a terminal such as the user terminal 3. This presents various information to the user operating the user terminal 3. When using the phrase "cause to display," it is not particularly important whether the display medium is in the local environment or whether the display process is performed via the communication network 11. The display control unit 236 controls the display of the terminal to show visual information such as screens, images, icons, and messages. The display control unit 236 may also only generate rendering information for displaying the visual information on the terminal.

[0033] The impression prediction unit 237 is configured to predict the initial impression value of a predetermined space based on the spatial information acquired by the acquisition unit 232 and the third reference information IF3. The third reference information IF3 is, for example, data that includes the correlation between an image including the appearance of a plant (hereinafter may be referred to as a plant image) and the impression adjustment value. The initial impression value is the impression value of the predetermined space before the impression adjustment by the above-mentioned items is performed.

[0034] The artificial intelligence unit 238 is configured to receive input from each functional unit and return the instructed output. The artificial intelligence used by the information processing device 2 in each functional unit may be common to all units, or it may be prepared individually for each functional unit.

[0035] The artificial intelligence unit 238 may include learning models such as a Transformer or a language model such as a Recurrent Neural Network (RNN), including a generative AI.

[0036] The language model is an example of a learning model using a machine learning algorithm. Specific machine learning algorithms include nearest neighbors, naive Bayes, decision trees, support vector machines, and deep learning using neural networks. The artificial intelligence unit 238 can apply the above algorithms as appropriate.

[0037] The artificial intelligence unit 238 may have a trained model constructed by a learning method such as supervised learning, unsupervised learning, or self-supervised learning. In supervised learning, machine learning is performed using training data. Training data consists of pairs of input data and output data (correct answer data) for training. Furthermore, the language model may not only be one trained for a specific task, but also a general-purpose model that can be used universally for a wide range of tasks. The trained model included in the artificial intelligence unit 238 can undergo additional training as transfer learning or fine-tuning.

[0038] 3. Information Processing The information processing of Embodiment 1 will be described below.

[0039] 3.1 Overview of the process Information processing system 1 comprises at least one processor 23, and the processor 23 is programmed to perform the following parts. In other words, such information processing method comprises the steps of information processing system 1 described below. From another perspective, such program causes a computer to execute each step of information processing system 1. Figure 5 is a flowchart outlining the processing performed by information processing system 1. The steps shown in Figure 5 will be explained below.

[0040] First, the acquisition unit 232 acquires a desired impression value representing the impression desired for a given space as an acquisition step (step S001). Next, the identification unit 233 identifies one or more items having impression adjustment values ​​that match the desired impression value as a group of items recommended for placement in the space as an identification step (step S002). Here, the impression adjustment value is a value representing the impression of the item. Furthermore, the presentation unit presents feature information IF4 corresponding to the group of items to the user as a display control step (an example of a presentation step) (step S003). With this configuration, the user can grasp the characteristics of the items necessary to construct a space with the impression desired by the user. Therefore, the user can select items that have those characteristics and adjust the impression of the space with those items.

[0041] 3.2 Specific Examples of Information Processing Figure 6 is an activity diagram showing a specific example of processing performed by the information processing system 1. The specific example may be included within the scope defined in the overview described above. The specific example describes an example in which the user is presented with the characteristics of placement items necessary to change an existing space into a space with the impression desired by the user.

[0042] First, the user terminal 3 transmits spatial information and impression information indicating the impression desired by the user to the information processing device 2 in response to the user's input operation (Activity A101). Then, the receiving unit 231 of the information processing device 2 receives the transmitted spatial information and impression information as a receiving step (Activity A102).

[0043] Here, spatial information may be, for example, an image of a predetermined space. For example, if a user specifies an image of a predetermined space by taking a photograph and uploading the image using the user terminal 3, the information processing device 2 receives the specified image from the user terminal 3. Here, the image of the predetermined space is an image of the space before any impression adjustments are made.

[0044] The impression desired by the user is, for example, the impression the user seeks in a space (hereinafter referred to as "impression"). The impression may be represented, for example, by keywords that express human emotions. For example, the reception unit 231 may receive keywords selected by the user from among the keywords that express human emotions as impression information. Alternatively, the reception unit 231 may display a map (graph) showing the distribution of keywords on the display unit 34 of the user terminal 3 and receive the map coordinates selected by the user as impression information. Details of the map will be described later. Note that the method of receiving impression information that indicates the impression desired by the user is not limited to this. The reception unit 231 may also receive desired impression values ​​entered via the user terminal 3 as impression information.

[0045] In this embodiment, an example of receiving impression information indicating the user's desired impression has been described, but for example, the reception unit 231 may also receive usage information regarding the use of the space via the user terminal 3. The usage information may include keywords indicating the use of the space. For example, the reception unit 231 may receive keywords indicating the use of the space selected by the user, such as "rest" or "idea brainstorming," as usage information.

[0046] Next, the impression prediction unit 237 predicts the initial impression value of the space based on the second reference information IF2 and the spatial information received in activity A102 (activity A103).

[0047] The second reference information IF2 is data that includes the correlation between spatial images and initial impression values. The second reference information IF2 is, for example, an estimator constructed to take an image as input and output the impression value of that image. The second reference information IF2 may also include, for example, a table, function, simple algorithm, etc., that shows the correlation between features extracted from a spatial image selected by the user (e.g., vector data obtained by vectorizing the image) and the impression value. Such correlations included in the second reference information IF2 can be constructed, for example, by statistically analyzing data that records images and their impression values.

[0048] The second reference information IF2 may include a first impression value prediction model that is trained to take an image as input and output an initial impression value. The first impression value prediction model is a general-purpose learning model that is trained to take an unspecified image as input and output an impression value for that image. In detail, the first impression value prediction model is, for example, a learning model that has been trained using a combination of a training image and an impression value measured for that image (a numerical representation of the impression of multiple subjects who viewed the image) as training data. In the impression value prediction model, the parameters calculated and tuned through learning constitute the correlation of the second reference information IF2.

[0049] The impression prediction unit 237 inputs the image to the first impression value prediction model of the artificial intelligence unit 238, causing the first impression value prediction model to output an initial impression value. With this configuration, it becomes possible to predict impression values ​​based on the measurement results of impression values ​​in a large number of spaces, thereby improving the accuracy of impression value prediction.

[0050] Independent of the processing of Activity A103, the acquisition unit 232 acquires a desired impression value based on the impression desired by the user, as received by the reception unit 231 (Activity A104). That is, the acquisition unit 232 acquires a desired impression value that represents the desired impression for a given space. The "desired impression value" corresponds to the impression value of the given space in the state in which the above-mentioned items are arranged. For example, the acquisition unit 232 may acquire a numerical value corresponding to a keyword that expresses a person's emotions, as received by the reception unit 231, as the desired impression value. Alternatively, for example, the acquisition unit 232 may acquire a numerical value corresponding to a keyword that indicates the use of the space, as received by the reception unit 231, as the desired impression value. In other words, when spatial information or impression information (an example of input information) is received from the user, the determination unit 235 determines the desired impression value based on the input information. Here, the input information is information that indicates emotions or information that indicates the use of the space. Subsequently, the acquisition unit 232 acquires the desired impression value. With this configuration, the user's intentions can be reflected more easily and accurately regarding the adjustment of the impression of the space.

[0051] Next, the identification unit 233 identifies one or more items having an impression adjustment value that matches the desired impression value as a group of items recommended for placement in the space (Activity A105). Here, the "impression adjustment value" is a value that represents the impression of the item. For example, the identification unit 233 identifies items as a group of items that have an impression adjustment value corresponding to the difference between the initial impression value obtained in Activity A103 and the desired impression value obtained in Activity A104. Specifically, the identification unit 233 is configured to identify such a group of items based on the desired impression value and the first reference information IF1.

[0052] The first reference information IF1 is, for example, a table that associates the identification information of each item with the impression adjustment value of that item and information indicating the characteristics of that item. The first reference information IF1 is stored, for example, in the storage unit 22.

[0053] A specific example of the first reference information IF1 will be explained using Figure 7. Figure 7 is an example of an item list table T1. As shown in Figure 7, the item list table T1 may include information such as plant ID (T11), plant name (T12), arousal level (T13), emotional valence (T14), and plant characteristics (T15). Furthermore, as an example of plant characteristics (T15), it may also include information such as leaf color (T151), leaf vein color (T152), contrast level (T153), leaf size level (T154), and leaf aspect ratio (T155).

[0054] The identification unit 233 is configured to refer to a table which is the first reference information IF1, and to identify items from the items contained in the table that have an impression adjustment value that matches the desired impression value as an item group. Specifically, the identification unit 233 refers to the arousal level (T13) and emotional value (T14) of the item list table T1 which corresponds to the impression adjustment value, and identifies the IDs of items that have an arousal level and emotional value that fall within a predetermined range from the desired impression value as an item group.

[0055] Here, "item" refers to an object that can be placed in space, as described above, such as office furniture (tables, chairs, etc.), fixtures (baskets, cases, etc.), electrical equipment (lighting, monitors, speakers, etc.), and decorative items (paintings, ornaments, wallpaper, carpets, etc.). Furthermore, if the object whose impression is being adjusted is a space in a virtual space, then the item is an object in that virtual space (for example, an object represented by a 3D model).

[0056] Furthermore, the items may be plants or ornaments that imitate plants. Examples of plants include Philodendron birkin, Anthurium, Green Necklace, and Mint. Note that the plants may be fictional. Examples of "ornaments that imitate plants" include artificial plants (fake greenery, artificial flowers, etc.), wallpaper, panels, carpets, covers, etc., printed with all or part of a plant. Moreover, "ornaments that imitate plants" may also be images that imitate plants. Since the impression that plants give to people varies greatly depending on the type of plant, by selecting an appropriate plant species, it is possible to adjust the impression to the desired one without compromising the function of the space. The same effect can be expected with fictional plants or ornaments that imitate plants. In this way, by specifying plants or ornaments that imitate plants as items, the impression of the space can be adjusted more easily and accurately than when other items are specified.

[0057] In this embodiment, the item is described as a plant or a decorative item that imitates a plant. In this case, an impression adjustment value is set for each type of plant. The impression prediction unit 237 is configured to predict the impression adjustment value for each plant based, for example, on an image including the appearance of the plant and a third reference information IF3.

[0058] The third reference information IF3 is, for example, data that includes the correlation between an image including the appearance of a plant (hereinafter referred to as a plant image) and an impression adjustment value. The third reference information IF3 may also include, for example, a second impression value prediction model (an example of a trained model) that has been trained to take a plant image as input and output an impression adjustment value. In such a case, the impression prediction unit 237 may input the plant image to the second impression value prediction model of the artificial intelligence unit 238 and cause the second impression value prediction model to output an impression adjustment value. The output impression adjustment value is associated with the item identification information and stored in the first reference information IF1. The third reference information IF3 may be stored in, for example, the storage unit 22, or in an external server (not shown). Furthermore, the first impression value prediction model and the second impression value prediction model may be the same model or different models.

[0059] Next, the extraction unit 234 extracts feature information IF4 (activity A106). Here, feature information IF4 is information that represents the characteristics of the items included in the item group, and also includes factors that influence changes in people's emotions.

[0060] The specific processing of Activity A106 will be explained using the item list table T1 in Figure 7. The extraction unit 234 refers to the plant characteristics (T15) included in the group of items determined in Activity A105 and extracts common characteristics as characteristic information IF4. The plant characteristics (T15) may include, for example, information about the plant's color, shape, or size. The plant characteristics (T15) may include information that directly indicates the color or shape, or it may include information that indicates the degree of size, etc., in numerical stages.

[0061] In the item list table T1, for example, plants with IDs 001 and 002 can be said to share the characteristics of contrast level (T153) and leaf size level (T154). The common characteristics extracted in this way (characteristic information IF4) are assumed to include factors that influence changes in human emotions. In other words, each item (T151~T155) included in the plant characteristics (T15) of the item list table T1 corresponds to at least a factor that influences arousal level or emotional valence. For example, if "contrast level 5 (T153)" is extracted as characteristic information IF4, the factor corresponds to "strong contrast between leaf and vein color."

[0062] As shown in Figure 7, plant characteristics include external features, such as the shape, size, or color of leaves and flowers. Preferably, information describing plant characteristics may include features from multiple perspectives. However, plant characteristics are not limited to these.

[0063] Furthermore, the extracted feature information IF4 does not necessarily have to be a feature possessed by all items in the item group. For example, the extraction unit 234 may extract as feature information IF4 a feature possessed by a predetermined percentage or more of the multiple items in the item group.

[0064] Next, the information processing device 2 outputs information including feature information IF4 to the user terminal 3 (Activity A107). As a result, the feature information IF4 is displayed on the display unit 34 of the user terminal 3 (Activity A108). In other words, the display control unit 236 presents the feature information IF4 corresponding to the group of items to the user as a display step (an example of a presentation step). With this configuration, the user can grasp the characteristics of the items that are placed to change the impression of the space.

[0065] The above is the flow of information processing.

[0066] 4. Details of Information Processing This section will explain the details of the information processing outlined above using diagrams.

[0067] (Registration screen) Figure 8 shows an example of a map illustrating the distribution of keywords displayed on the user terminal 3. The map is displayed on the display unit 34 of the user terminal 3 in activity A101 in Figure 6, for example. In the example in Figure 8, Russell's Circle of Affect model is used as the map. In the map in Figure 8, the horizontal axis is the axis of emotional valence, and the vertical axis is the axis of arousal. Preferably, the initial impression value, desired impression value, and impression adjustment value are each composed of a combination of emotional valence and arousal.

[0068] When the user selects an arbitrary location on the map through an input operation on the user terminal 3, the numerical value on the horizontal axis of the map coordinates is converted into the emotional value of the desired impression, and the numerical value on the vertical axis of the map coordinates is converted into the arousal level of the desired impression. For example, if the user wants to feel "energetic" in a space, coordinates near "energetic" on the map are selected. The reception unit 231 obtains the emotional value and arousal level of the desired impression based on these coordinates.

[0069] The configuration of the screen for receiving information related to desired impression values ​​from the user is not limited to the example in Figure 8. For example, the reception unit 231 may accept both numerical input and input by selecting keywords that express emotion or purpose for the desired impression values. In other words, the reception unit 231 may accept input using the input method selected by the user from among the numerical and keyword input means.

[0070] Furthermore, the reception unit 231 may accept input of information related to the desired impression value in a manner that allows the user to grasp the impression of a given space. For example, the display control unit 236 may, with the initial impression value predicted in activity A103 of Figure 6 displayed on the display unit 34 of the user terminal 3, have the reception unit 231 accept input of the desired impression value from the user. Moreover, with the initial impression value displayed on the display unit 34, the reception unit 231 may accept input of a modification to the desired impression value from the user. According to this configuration, the user can grasp the impression of the existing space and then set or modify the impression value of that impression.

[0071] (2-axis chart) Figure 9 is a two-axis chart illustrating the adjustment of impression values. In Figure 9, the horizontal axis is set to emotional valence and the vertical axis to arousal level, showing the initial impression value I0 (the impression value of a predetermined space before placing items) and the desired impression value I1 entered by the user. The identification unit 233 identifies items as a group of items that have an impression adjustment value that fills the difference between the initial impression value I0 and the desired impression value I1 (in other words, items that correspond to a vector starting from the initial impression value I0 and ending at the desired impression value I1). In the example of the combination of initial impression value I0 and desired impression value I1 in Figure 9, the identification unit 233 identifies items as a group of items in which the arousal value increases by a predetermined amount and the emotional value also increases by a predetermined amount. Similarly, in the example of the combination of initial impression value I0 and desired impression value I2 in Figure 9, the identification unit 233 identifies items as a group of items in which the arousal value decreases by a predetermined amount and the emotional value increases by a predetermined amount. In this way, the identification unit 233 identifies a group of items such that the combined emotional value and arousal level (initial impression value) of the space before the items are placed, along with the emotional value and arousal level of the impression adjustment value, approaches the emotional value and arousal level of the desired impression value.

[0072] (Information presentation screen 6) Figure 10 shows an example of an information display screen 6 displayed on the display unit 34 of the user terminal 3. The information display screen 6 is an example of the screen displayed in activity A108 in Figure 6. The information display screen 6 includes areas 60-62 and a button 63.

[0073] Region 60 is the area for displaying feature information IF4. Feature information IF4 is information extracted in activity A106 in Figure 6. As an example of feature information IF4 related to plants placed in space to increase arousal, visual information representing "plants with clearly visible leaf veins" is drawn in region 60.

[0074] Regions 61 and 62 may each contain images of plants having feature information IF4. That is, the plants in the images drawn in regions 61 and 62 are all plants that have the characteristic of having "clearly visible leaf veins."

[0075] The characteristics of plants placed to alter the impression of a space in order to increase a person's level of alertness may include, for example, having a composition in which the leaf veins can be clearly seen due to a clear contrast in the color of the leaves and veins. For example, a plant may have green leaves and white or red veins. Another example of a plant characteristic may include having leaves or stems with two or more colors. For example, a plant may have leaves or stems that consist of the usual color of leaves or stems, green, and a different color such as red, white, or black. Specific examples of plants with such characteristics include Philodendron birkin, Anthurium, Anthurium clarinerbium, Afendola dania, hemp, Piperuce, Tradescantia virginiana, Aglaonema, Stromanthe, Dieffenbachia, Caladium, as well as Calathea, Alocasia, Maranta, Ctenanthe, Hypoestes, Spathiphyllum, and others.

[0076] On the other hand, the characteristics of plants placed to alter the impression of a space in order to reduce a person's level of arousal may include, for example, that the leaves and veins have a contrasting color scheme within the same color family. Another example of plant characteristics is that the leaves may be long and narrow or small in size. Specifically, the aspect ratio of the leaves may be 1:1 to 30:1, and the area of ​​each leaf may be 0.5 cm². 2 Over 6cm 2 A plant may have the following characteristics. Another example of a plant's characteristics may include having leaves of a single color. Specific examples of plants with such characteristics include string of pearls, mint, cycad, Scotch moss, rosemary, olive, asparagus sprengeri, tea tree, aromaticus, maidenhair fern, and evergreen ferns.

[0077] In this configuration, users can grasp the common characteristics of plants that are effective when placed to change a space to a desired impression. This allows users to select plants to place based on these characteristics. Furthermore, by presenting multiple examples of specific plants possessing these characteristics, users can select plants more easily than when selecting them themselves.

[0078] Furthermore, button 63 may be a button for purchasing plants or imitation plants that correspond to the area selected by the user on the information display screen 6. For example, as shown in Figure 10, by receiving input for area 61 from the user, area 61 is displayed in a way that distinguishes it from other areas 62. When the reception unit 231 receives input for button 63 from the user, the procedure for purchasing the plant "AAA" corresponding to the area 61 selected by the user may be initiated. Specifically, when the user inputs for button 63, the display control unit 236 may transition the content displayed on the display unit 34 from the information display screen 6 in Figure 10 to the purchase screen (not shown).

[0079] 5. Others With respect to the information processing system 1 according to the above embodiment, the following configurations may be adopted.

[0080] In the embodiment described above, as an example of feature information IF4, information representing the characteristics of plants placed to change the impression of the space in text form was displayed on the display unit, but this is not limited to this. The display control unit 236 may also display an image of a plant (an example of an item) on the display unit of a user terminal 3 or the like, in a manner that includes feature information IF4. In other words, an item includes an image that imitates a plant or a fictional plant, and this image may also include feature information IF4. The display control unit 236 may also display such an image on a terminal or screen installed in the space. With this embodiment, the impression of the space can be easily adjusted compared to the case where text information is displayed.

[0081] Figure 11 is an activity diagram for cases where image information including feature information IF4 is included. Activities A201 to A206 are the same as activities A101 to A106 in Figure 6, so their explanation is omitted.

[0082] The information processing device 2 outputs image information representing a plant having feature information IF4 (Activity A207). This displays the image on a terminal or screen installed in the space. Here, the image information may be an image representing a real plant or an image representing a fictional plant. For example, the artificial intelligence unit 238 may have an image generation model that generates images of plants. In this case, the information processing device 2 inputs feature information IF4 to the image generation model of the artificial intelligence unit 238, causing the image generation model to output an image of a plant having feature information IF4. With this configuration, compared to the case where there is no image generation model, it is possible to display an image of a fictional plant in the space that better reflects the characteristics of plants that change the impression of the space, and the user can easily change the impression of the space.

[0083] Furthermore, the system may return to Activity A201 to receive input from the user regarding spatial and impression information. Subsequently, the processes of Activities A202 to A208 may be executed. In this configuration, the user can change the impression of the space in real time.

[0084] Figure 12 (using an image generated by the AI) shows an example of an image displayed on a terminal or other device installed in a space. As shown in Figure 12, the image information may include an appearance that allows for the understanding of the characteristics of multiple types of plants that share common features. Alternatively, the image information may represent the appearance of only a part of the plant. With this configuration, the adjusted impression value can be finely adjusted by slightly changing the image displayed in the space. Therefore, the impression of the space can be changed more accurately with respect to the desired impression value compared to when the image information represents the appearance of the entire plant.

[0085] Figure 13 shows an indoor space SP. The indoor space SP is designed by the information processing system 1. Specifically, plants (examples of items) IT1 to IT4 are placed in space SP. These plants (IT1 to IT4) are plants that possess feature information IF4. Furthermore, these plants are part of a plant group, and the plant group corresponds to a group of items identified by the information processing system. By placing plants identified from the plant group with features presented by the information processing system into the space, the user can easily change the impression of the space compared to when the user selects the plants to place themselves.

[0086] Item IT1 is wallpaper printed with a part of a plant. Items IT2 and IT3 are plants or artificial plants. Item IT4 is a panel printed with an entire plant. The items that can be placed in space are not limited to these.

[0087] Furthermore, the spatial SP may be a virtual space SPa. In this case, objects placed in the virtual space SPa include feature information IF4. More specifically, in activity A207 of Figure 11, information indicating an object is output. When the spatial SP in Figure 13 is a virtual space SPa, objects OB1 to OB4 include feature information IF4. With this embodiment, the impression of the virtual space can be easily changed compared to when information indicating an object is not output.

[0088] In one embodiment, the reception unit 231, acquisition unit 232, identification unit 233, extraction unit 234, determination unit 235, display control unit 236, impression prediction unit 237, and artificial intelligence unit 238 are described as functional units realized by the processor 23 of the information processing device 2. However, at least a part of these may be implemented as functional units realized by an external server (not shown), or as functional units realized by the processor 33 of the user terminal 3.

[0089] The information processing device 2 may be in an on-premise configuration or a cloud configuration. In the case of a cloud-based information processing device 2, for example, the above functions and processing may be provided in the form of SaaS (Software as a Service) or cloud computing.

[0090] In the above embodiment, the information processing device 2 performed various storage and control functions, but instead of the information processing device 2, multiple external devices may be used. That is, various information and programs may be stored in a distributed manner across multiple external devices using blockchain technology or the like.

[0091] Furthermore, the following embodiments may also be provided.

[0092] (1) An information processing system comprising at least one processor, wherein the processor is configured to perform the following steps by reading a program, the acquisition step of acquiring a desired impression value representing the impression to be desired for a given space, the identification step of identifying one or more items having an impression adjustment value that matches the desired impression value as a group of items recommended for placement in the space, where the impression adjustment value is a value representing the impression of the item, and the presentation step of presenting characteristic information corresponding to the group of items to the user.

[0093] In this configuration, the user can understand the characteristics of the items necessary to create a space with the desired impression. Therefore, the user can select items that possess those characteristics, and the impression of the space can be adjusted by those items.

[0094] (2) In the information processing system described in (1) above, the extraction step further extracts the feature information, wherein the feature information is information representing the characteristics of the items included in the item group and includes factors that influence changes in human emotions.

[0095] This approach allows for the accurate proposal of a space that closely matches the impression desired by the user.

[0096] (3) In the information processing system described in (2) above, the desired impression value and the impression adjustment value are each composed of a combination of emotional valence and arousal level, and in the identification step, the system identifies a group of items such that the combination of the emotional valence and arousal level of the space before the items are placed and the emotional valence and arousal level of the impression adjustment value approaches the emotional valence and arousal level of the desired impression value.

[0097] (4) In the information processing system described in (1) above, the item is a plant or an ornament that resembles a plant.

[0098] (5) In the information processing system described in (1) above, the item includes an image that imitates a plant or a fictional plant, and the image includes the characteristic information.

[0099] This configuration allows for easy adjustment of the spatial impression.

[0100] (6) In the information processing system described in (5) above, the space is a virtual space, and the objects placed in the virtual space include the feature information.

[0101] This configuration allows for easy and accurate adjustment of impressions in virtual space.

[0102] (7) In the information processing system described in (1) above, the decision step further determines a desired impression value based on the input information when input information is received from the user, wherein the input information is information indicating an emotion or information indicating the use of the space.

[0103] This configuration makes it easier to reflect the user's intentions regarding the adjustment of the spatial impression.

[0104] (8) A group of plants that corresponds to the group of items identified by the information processing system described in any one of (1) to (7) above.

[0105] (9) An indoor space which is designed by an information processing system as described in any one of (1) to (7) above.

[0106] (10) An information processing method comprising each step of an information processing system described in any one of (1) to (7) above.

[0107] (11) A program that causes a computer to perform each step of the information processing system described in any one of (1) to (7) above. Of course, this is not always the case.

[0108] Finally, various embodiments of the present invention have been described, but these are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in a variety of other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of Symbols]

[0109] 1: Information Processing System 11: Network 2: Information Processing Device 20: Communications bus 21: Communications Department 22: Storage section 23: Control Unit (Processor) 231: Reception Department 232: Acquisition Department 233: Specific part 234:Extraction part 235: Decision Section 236: Display Control Unit 237: Impression Prediction Department 238: Artificial Intelligence Department 3: User terminal 30: Communications bus 31: Communications Department 32: Storage section 33: Processor 34:Display section 35: Input section 6: Information presentation screen 60: area 61 :Area 62 :Area 63: Button IF1: First reference information IF2: Second reference information IF3: Third reference information IF4: Feature Information IT1: Item IT2: Item IT3: Item IT4: Items T1: Item List Table OB1: Object OB2: Object OB3: Object OB4: Object SP: space SPa: Virtual Space

Claims

1. An information processing system, The system comprises at least one processor, the processor configured to perform the following steps by reading a program: In the acquisition step, a desired impression value representing the desired impression for a given space is obtained. In a specific step, one or more items having impression adjustment values ​​that match the desired impression value are identified as a group of items recommended for placement in the space, and here, The aforementioned impression adjustment value is a value that represents the impression of the item, The system presents the user with characteristic information corresponding to the aforementioned group of items in the presentation step.

2. In the information processing system described in claim 1, Furthermore, in the extraction step, the characteristic information is extracted, The aforementioned characteristic information is This information represents the characteristics of the items included in the aforementioned group of items, and A system that includes factors that influence changes in people's emotions.

3. In the information processing system described in claim 2, The aforementioned desired impression value and the aforementioned impression adjustment value are each composed of a combination of emotional valence and arousal level. In the aforementioned specific step, the system identifies a group of items such that the combination of the emotional value and arousal level of the space before the items are placed, along with the emotional value and arousal level of the impression adjustment value, approaches the emotional value and arousal level of the desired impression value.

4. In the information processing system described in claim 1, The aforementioned item is a plant, or a plant-like ornament, or a system.

5. In the information processing system described in claim 1, The aforementioned items include images that resemble plants or fictional plants. The aforementioned image represents a system including the aforementioned feature information.

6. In the information processing system described in claim 5, The aforementioned space is a virtual space, The objects placed in the virtual space are a system including the feature information.

7. In the information processing system described in claim 1, Furthermore, in the decision step, when input information is received from the user, the desired impression value is determined based on the input information, and here, The system wherein the input information is information indicating emotions or information indicating the use of the space.

8. It is a group of plants, A group of plants corresponding to the group of items identified by the information processing system according to any one of claims 1 to 7.

9. Indoor space, An interior space designed by an information processing system according to any one of claims 1 to 7.

10. Information processing method, A method comprising each step in an information processing system according to any one of claims 1 to 7.

11. It is a program, A program that causes a computer to perform each step of the information processing system described in any one of claims 1 to 7.

Images