Evaluation device, evaluation method, and program

Abstract

To provide an evaluation device capable of evaluating sensory characteristics such as visual sense, auditory sense, tactile sense, taste sense, and olfactory sense about transmitted information, an evaluation method, and a program.SOLUTION: An evaluation device comprises: a generation unit which generates evaluation information related to a target sense, which is at least one of visual sense, auditory sense, tactile sense, taste sense, and olfactory sense about target information on an object by processing the target information; and an output unit which outputs the evaluation information.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to an evaluation device, an evaluation method, and a program.

Background Art

[0002] In Patent Document 1, paying attention to the fact that customers often express their needs for products using onomatopoeia and other sound-symbolic words, in order to develop products that meet customer needs, a technique for quantitatively associating sound-symbolic words such as onomatopoeia with physical characteristics and providing information is described. A sound-symbolic word is a word in which a linguistic sound is linked synaesthetically with a five-sense (hearing, vision, touch, smell, taste) impression. Evaluation scales for physical characteristics are variously set according to the product, and may be the amount of each material of the product, or the physical characteristics (dynamic friction coefficient, temperature, elastic modulus, moisture content) of the product, etc. By conducting a subject experiment and having the subjects declare the sound-symbolic words (onomatopoeia) they imagine for the product, and analyzing the obtained results, a correlation value between the evaluation scale of the physical characteristics of the product and the phonetic elements included in the sound-symbolic words (onomatopoeia) is determined, and a phonetic physical characteristic database is generated. Using this database, it is possible to estimate the evaluation scale of the physical characteristics of the product from onomatopoeia, or to present the sound-symbolic word (onomatopoeia) corresponding to the value from the physical characteristic value of the product.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] It may be better to evaluate the sensory characteristics such as vision, hearing, touch, taste, and smell of each word even for information other than terms such as onomatopoeia. The technique described in Patent Document 1 cannot handle information other than terms such as onomatopoeia.

Means for Solving the Problems

[0005] The evaluation device in the present disclosure generates evaluation information regarding a target sensation, which is at least one of vision, hearing, touch, taste, and smell, about the target information by processing the target information about the object; output means for outputting the evaluation information; and includes.

[0006] The evaluation method in the present disclosure one or more computers generate evaluation information regarding at least one of vision, hearing, touch, taste, and smell about the object by processing the information about the object, and includes outputting the evaluation information.

[0007] The program in the present disclosure causes a computer to execute a generation process of generating evaluation information regarding at least one of vision, hearing, touch, taste, and smell about the object by processing the information about the object, and an output process of outputting the evaluation information, and is a program for that purpose.

Advantages of the Invention

[0008] According to the present disclosure, an evaluation device, an evaluation method, and a program capable of evaluating sensory characteristics such as vision, hearing, touch, taste, and smell for the transmitted information can be obtained.

Brief Description of the Drawings

[0009]

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Embodiments for Carrying Out the Invention

[0010] Hereinafter, in the present disclosure, the drawings are associated with one or more embodiments. Also, in all the drawings, the same reference numerals are given to the same components, and the description thereof will be omitted as appropriate. Further, in each of the following figures, the configuration of the part not related to the essence of the present disclosure is omitted and not shown.

[0011] In the present disclosure, "acquisition" includes at least one of the following: the self-device going to obtain data or information stored in another device or storage medium (active acquisition), and the self-device inputting data or information output from another device (passive acquisition). Examples of active acquisition include requesting or inquiring another device and receiving its reply, and accessing and reading another device or storage medium. Examples of passive acquisition include receiving information distributed (or transmitted, push-notified, etc.). Further, "acquisition" may mean selecting and acquiring from the received data or information, or selecting and receiving the distributed data or information.

[0012] <Functional configuration example> As shown in FIG. 1, the evaluation device 100 includes a generation unit 102 and an output unit 104. The generation unit 102 generates evaluation information regarding a target sense, which is at least one of vision, hearing, touch, taste, and smell, for the target information by processing the target information regarding the object. The output unit 104 outputs the evaluation information. The object is not particularly limited, such as a tourist destination, a product, a service, a place of relocation, a place of employment (job transfer), etc., and is an object that provides information to the user.

[0013] <Operation example> Hereinafter, an operation example of the evaluation device 100 will be described with reference to FIG. 2. The generation unit 102 processes the target information regarding the target object (step S101). Then, the generation unit 102 generates evaluation information regarding a target sense, which is at least one of vision, audition, tactile sensation, gustation, and olfaction, for the target information (step S103). The output unit 104 outputs the evaluation information (step S105).

[0014] According to this evaluation apparatus 100, the generation unit 102 generates evaluation information regarding a target sense, which is at least one of vision, audition, tactile sensation, gustation, and olfaction, for the target information by processing the target information regarding the target object, and the output unit 104 outputs the evaluation information. Therefore, an evaluation apparatus, an evaluation method, and a program capable of evaluating the sensory characteristics such as vision, audition, tactile sensation, gustation, and olfaction for the transmitted information can be obtained.

[0015] Hereinafter, a detailed example of the evaluation apparatus 100 will be described.

[0016] (First Embodiment) <System Overview> Information (target information) regarding target objects such as products, services, and tourist spots used by users is described in various contents such as web pages and publications, and is transmitted from a provider (hereinafter also referred to as an information sender) that provides the target object. A user who uses the target object browses this target information and selects and uses the target object to be actually used. Therefore, it is desirable to transmit target information that can effectively promote the use of the target object by the user.

[0017] The target information has characteristics regarding a target sense, which is at least one of vision, audition, tactile sensation, gustation, and olfaction. And a user who touches the target information has feelings regarding the senses such as vision, audition, tactile sensation, gustation, and olfaction for the target information. Also, each person has a sense that they like and a sense that they don't like. That is, the feelings held for the target information vary from person to person.

[0018] By transmitting target information having characteristics of a target sense that matches the target sense of the user who uses the information, it is possible to effectively prompt the user to use the target object. For this purpose, it is necessary to evaluate at least what kind of sensory characteristics the target information has.

[0019] The evaluation system 1 generates evaluation information regarding a target sense that is at least one of vision, hearing, touch, taste, and smell for the target information.

[0020] As shown in FIG. 3, the evaluation system 1 includes an evaluation device 100. The evaluation device 100 is a computer such as a personal computer or a server computer. In the example of FIG. 3, the evaluation system 1 shows a so-called server-client type system configuration. The evaluation device 100 functions as a server connected to the first communication device 200 via the communication network 3, and the first communication device 200 functions as a client terminal. Also, the function of the evaluation device 100 may be realized in a form in which the first communication device 200 accesses a server on the cloud via the Internet.

[0021] In another example, the evaluation device 100 may be a stand-alone type system. By installing a program that realizes the function of the evaluation device 100 in the first communication device 200 and starting the program on the first communication device 200, the function of the evaluation device 100 may be realized on the first communication device 200.

[0022] The evaluation device 100 includes a storage device 120. The storage device 120 may be provided inside or outside the evaluation device 100. That is, the storage device 120 may be hardware integrated with the evaluation device 100 or may be hardware separate from the evaluation device 100.

[0023] The first communication device 200 is an operation terminal used by an operator of an enterprise or organization that provides users with target information regarding a target object. The first communication device 200 is, for example, a computer such as a smartphone, a tablet terminal, or a personal computer.

[0024] The second communication device 300 is an operation terminal used by a user who views information regarding a target object evaluated by the evaluation device 100. The second communication device 300 is, for example, a computer such as a smartphone, a tablet terminal, or a personal computer.

[0025] The target object is not particularly limited and can be, for example, a tourist destination, a product, a service, a place to relocate, a place of employment (job transfer), etc., and is an object for which information is provided to users. The target information is information regarding these target objects and is, for example, information included in at least one of a web page, an SNS (Social Networking Service), an advertisement video, a publication (such as a magazine advertisement), a catalog, and a flyer. Publications, catalogs, flyers, etc. may be in paper form, in digital form, or both. The target information includes at least one of the text of the article describing the target object and the image indicating the target object included in the target information. The image is at least one of a moving image and a still image. The source of the target information is not particularly limited and can be a company, a local government, an individual, etc.

[0026] <Hardware Configuration Example> Hereinafter, with reference to FIG. 4, a hardware configuration example of a computer 1000 that realizes the evaluation device 100 according to the present disclosure will be described. The first communication device 200 and the second communication device 300 in FIG. 3 are also realized by the computer 1000.

[0027] The computer 1000 includes a bus 1010, a processor 1020, a memory 1030, a storage device 1040, an input / output interface 1050, and a network interface 1060.

[0028] Bus 1010 is a data transmission path for the processor 1020, the memory 1030, the storage device 1040, the input / output interface 1050, and the network interface 1060 to transmit and receive data to and from each other. However, the method of connecting the processor 1020 and the like to each other is not limited to bus connection.

[0029] The processor 1020 is a processor implemented by a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or the like.

[0030] The memory 1030 is a main storage device implemented by a RAM (Random Access Memory) or the like.

[0031] The storage device 1040 is an auxiliary storage device implemented by an HDD (Hard Disk Drive), an SSD (Solid State Drive), a memory card, a ROM (Read Only Memory), or the like. The storage device 1040 stores program modules that implement each function of the evaluation device 100 (for example, the generation unit 102, the output unit 104, the comparison processing unit 105, the person evaluation unit 108, the notification unit 110, etc.). By the processor 1020 loading these program modules onto the memory 1030 and executing them, each function corresponding to the program module is realized. Further, the storage device 1040 may also store each data of the storage device 120 of the evaluation device 100.

[0032] The program module may be recorded on a recording medium. The recording medium for recording the program module includes a non-temporary tangible computer 1000-usable medium, and program code readable by the computer 1000 (processor 1020) may be embedded in the medium.

[0033] The input / output interface 1050 is an interface for connecting the computer 1000 and various input / output devices. The input / output interface 1050 also functions as a communication interface for performing short-range wireless communication such as Bluetooth (registered trademark) and NFC (Near Field Communication).

[0034] The network interface 1060 is an interface for connecting the computer 1000 to the communication network 3. This communication network 3 is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network). The method by which the network interface 1060 connects to the communication network 3 may be a wireless connection or a wired connection.

[0035] Then, the computer 1000 is connected to necessary devices (for example, the display, touch panel, operation buttons, touch pad, keyboard, mouse, speaker, microphone, camera, printer, etc. of the evaluation device 100, the display, touch panel, touch pad, operation buttons, keyboard, mouse, speaker, microphone, camera, printer, etc. of the first communication device 200 and the second communication device 300) via the input / output interface 1050 or the network interface 1060.

[0036] Each component of the evaluation device 100 according to the present disclosure in each figure is realized by an arbitrary combination of the hardware and software of the computer 1000 in FIG. 4. And it is understood by those skilled in the art that there are various modification examples in the realization method and apparatus. The functional block diagram showing the evaluation device 100 according to the present disclosure in each figure shows blocks of logical function units, not the configuration in hardware units.

[0037] <Functional configuration example> Hereinafter, it will be described with reference to FIG. 1. The evaluation device 100 includes a generation unit 102 and an output unit 104. The generation unit 102 generates evaluation information regarding a target sensation, which is at least one of vision, hearing, touch, taste, and smell, for the target information regarding the target object by processing the target information. The output unit 104 outputs the evaluation information.

[0038] As described above, the target information includes at least one of text and an image. The generation unit 102 generates evaluation information based on the degree of relevance between the detection result of the words included in the text or the objects included in the image and the target sensation.

[0039] <Operation example> Hereinafter, an operation example of the evaluation device 100 will be described with reference to FIGS. 2 and 5 to 9. Note that the following processing operations are started, for example, when an operator of the evaluation device 100 receives an operation to start the process. The operation to start the process includes at least the specification (acquisition) of the target information to be evaluated. The target information is text data in which information about the target object is described, or image data about the target object. The target information may be information that has already been published or information before publication. Further, the target information to be evaluated may be information obtained by searching a web page, SNS, etc. using, for example, a pre-specified keyword. In that case, the process may be automatically started at a pre-specified date and time.

[0040] Furthermore, the target information regarding the target object may be newly automatically generated, for example, by a generative artificial intelligence (hereinafter referred to as generative AI) using a keyword indicating the target object. The automatic generation of the target information is not limited to generative AI and may be performed using a machine learning model.

[0041] First, the generation unit 102 processes the target information regarding the target object (step S101). Then, the generation unit 102 generates evaluation information regarding a target sensation, which is at least one of vision, hearing, touch, taste, and smell, for the target information (step S103).

[0042] The processes of step S101 and step S103 by the generation unit 102 include the processes for the case where the target information is text and the case where it is an image. Hereinafter, each processing operation for the case where the target information is text and the case where it is an image will be described respectively.

[0043] <<Generation process of evaluation information when the target information is text>> As shown in FIG. 5, first, the generation unit 102 acquires target information (text) regarding the target object (step S111). Here, the target information is text described in various contents such as web pages, SNS, publications, advertising videos, flyers, etc. regarding the target object. When the target information is described in a paper medium such as a publication, the generation unit 102 converts the target information into text data by OCR (Optical Character Reader) and acquires it. Also, as described above, the generation unit 102 may acquire target information generated by a generation AI or a machine learning model using a sentence including a keyword indicating the target object.

[0044] Then, the generation unit 102 performs morphological analysis on the text of the acquired target information and extracts words included in the target information (step S113). For example, in the example of FIG. 6, the text of the sentence regarding the target object "Enakyo" is morphologically analyzed, and words such as "Kiso River", "mountains", "scenery", "spot" are extracted.

[0045] On the other hand, as shown in FIG. 7, in the evaluation device 100, a sensation dictionary 130 indicating the degree of association with at least one of vision, hearing, touch, taste, and smell is prepared in advance for each word and stored in the storage device 120. For example, the word "Chinatown" is registered in the dictionary as being related to taste. Also, the word "B Zoo" is registered in the dictionary as being related to vision, hearing, and touch. Also, although not shown, a value indicating the degree of association (for example, a value from 0 to 1, where 0 indicates a low degree of association and 1 indicates a high degree of association) may be registered in the dictionary for each target sensation of each word.

[0046] The generation unit 102 acquires the degree of relevance of the sensation of each word extracted in step S113 from the sensation dictionary 130, and specifies the degree of relevance of the target sensation of each word (step S115). Steps S111 to S115 correspond to step S101 in FIG. 2.

[0047] Then, based on the degree of relevance of each word, the generation unit 102 generates, as evaluation information, a sensation characteristic indicating the degree of relevance for each sensation of the target sensation with respect to the target information (step S117). For example, the generation unit 102 adds (totals) the degree of relevance for each sensation of each word extracted from the target information for each sensation, and generates, as evaluation information, a sensation characteristic indicating the degree of relevance for each sensation with respect to the target information. This step S117 corresponds to step S103 in FIG. 2.

[0048] For example, if words A, B, and C are extracted from the target information, and the degree of relevance of word A for vision is 1, the degree of relevance of word B for vision is 0.5, the degree of relevance for hearing is 0.3, the degree of relevance of word C for vision is 1, and the degree of relevance for taste is 0.4 are acquired from the sensation dictionary 130, then as the evaluation information for the target information, for each sensation, the degree of relevance for vision is 2.5, the degree of relevance for hearing is 0.3, the degree of relevance for touch is 0, the degree of relevance for taste is 0.4, and the degree of relevance for smell is 0 are calculated respectively. The calculated degree of relevance for each sensation becomes the sensation characteristic of the target information.

[0049] <<Generation process of evaluation information when the target information is an image>> As shown in FIG. 8, the generation unit 102 first acquires an image as target information regarding the target object (step S121). Then, the generation unit 102 processes the image to detect an object and specifies a word derived from the detected object (step S123). The image processing is a process of detecting an object having a similarity equal to or higher than a threshold value by a matching process with a feature amount of a pre-registered object. Alternatively, the image processing may be an object detection process using AI.

[0050] Then, the generation unit 102 acquires, from the sensory dictionary 130, the degree of association of the senses of the words derived from each object specified in step S123, and specifies the degree of association for each sense of the target sense of each word (step S115). Steps S121 to S115 correspond to step S101 in FIG. 2.

[0051] Then, based on the degree of association of each word, the generation unit 102 calculates the degree of association for each sense of the target sense with respect to the target information, and generates sensory characteristics as evaluation information (step S117). This step S117 corresponds to step S103 in FIG. 2. Note that steps S115 and S117 in FIG. 8 are the same as those in FIG. 5.

[0052] Also, the target information may include both text and an image. In that case, before steps S111 (FIG. 5) and S121 (FIG. 8), a process of extracting text and an image from the target information is executed. When the generation unit 102 acquires the target information, it extracts text and an image from the target information respectively. Then, for the extracted text, the generation unit 102 performs the process of FIG. 5, and for the extracted image, the generation unit 102 performs the process of FIG. 8.

[0053] <<Output Process of Evaluation Information>> Then, the output unit 104 outputs the evaluation information (sensory characteristics) (step S105 in FIG. 2). For example, the output unit 104 may output a numerical value indicating the degree of association for each sense of the target sense.

[0054] Also, the output unit 104 outputs the evaluation information in the form of a graph or a chart. Specifically, the output unit 104 causes an output screen 400 including a graph or a chart showing the sensory characteristics of the target information to be displayed on the display of the evaluation device 100 or on the display of the first communication device 200. The display destination of the output screen 400 is not limited to these, and it may be the display of the second communication device 300 used by the user of the transmitted information.

[0055] As an example, as shown in FIG. 9, on the output screen 400 of the evaluation information, the degree of relevance for each sense of the target sensation indicating the sensory characteristics of the target information generated by the generation unit 102 is displayed in a radar chart. In the example of FIG. 9, the output screen 400 includes an object display column 402 showing the object of the target information of the evaluation information and a radar chart display column 404 showing the sensory characteristics of the target information of the object. In this example, in the radar chart, as the evaluation information (sensory characteristics) of the target information, it is shown that the degree of relevance of each sense is 5 for vision, 3 for hearing, 4 for touch, 1 for taste, and 2 for smell.

[0056] As another example, as shown in FIG. 19, on the output screen 410 of the evaluation information, the degree of relevance for each sense of the target sensation generated by the generation unit 102 may be displayed in a bar graph. In this example, the degree of relevance of the target information is shown for hearing and vision as the target sensations. The radar chart can be used for display when at least three senses are the target sensations. In the case of a bar graph, it can be used for display when at least one sense is the target sensation.

[0057] Note that the examples of the evaluation information output by the output unit 104 are not limited to these. For example, the output unit 104 may show the degree of relevance for each sense of the target sensation in a line graph. Alternatively, the output unit 104 may obtain the ratio of the degree of relevance of each sense of the target sensation of the target information and show the composition ratio of each sense in a pie chart or a band graph.

[0058] Also, the output screen 400 may include a plurality of graphs and charts showing the sensory characteristics related to a plurality of objects in a comparable manner. For example, the output unit 104 may display the sensory characteristics of a plurality of objects in one radar chart. Alternatively, the output unit 104 may make band graphs of the sensory characteristics of a plurality of objects respectively and display the plurality of band graphs in parallel.

[0059] As described above, according to this embodiment, the evaluation device 100 includes a generation unit 102 and an output unit 104. The generation unit 102 generates evaluation information regarding a target sense, which is at least one of vision, hearing, touch, taste, and smell, for the target information by processing the target information regarding the object, and the output unit 104 outputs the evaluation information. Thus, according to the evaluation device 100 of this embodiment, it is possible to obtain an evaluation device, an evaluation method, and a program capable of evaluating the sensory characteristics such as vision, hearing, touch, taste, and smell for the information to be transmitted.

[0060] Also, in this embodiment, since the output unit 104 outputs the sensory characteristics regarding the object in the form of a graph or a chart, the information transmitter and the user can view the sensory characteristics regarding the object in an easy-to-understand form. Furthermore, since the output unit 104 can display on the output screen 400 the sensory characteristics regarding a plurality of objects in a comparable manner, the information transmitter and the user can compare the sensory characteristics regarding the plurality of objects by looking at the output screen 400.

[0061] (Second Embodiment) The second evaluation device 100 of FIG. 10 according to the present disclosure is the same as the evaluation device 100 of FIG. 1 except that it further requires a comparison processing unit 105. Note that each element in FIG. 10 may be combined within a range that does not conflict with each element of one or more embodiments.

[0062] <Functional Configuration Example> As shown in FIG. 10, the evaluation device 100 has the same generation unit 102 as in FIG. 1 and an output unit 104, and further has a comparison processing unit 105. However, in this embodiment, the evaluation device 100 may not include the output unit 104. The comparison processing unit 105 performs predetermined processing using the comparison result between the evaluation information of the target information and a reference. The standard is the sensory characteristic that the information sender intends for the target information of the object. In another example, the standard is the preference of the target sensation of the user of the object. In still another example, the standard may be the sensory characteristic of the target information of another object, which is the sensory characteristic that the target information of the object is desired to resemble.

[0063] Furthermore, the preference of the target sensation of the user of the object may be the preference of an individual user or the preference of a group including a plurality of users.

[0064] Also, the standard may be set for each attribute of the target of the object. For example, the comparison processing unit 105 may receive the designation of the attribute of the target person (or target group) by the information sender who transmits the tourism information, and use the preference of the target sensation of the target person (or target group) generated using the designated attribute as the standard. Note that the configuration using the preference of the target sensation of the user of the object as the standard will be described in the embodiments described later.

[0065] The predetermined process includes a process of presenting an amendment to the target information and a process of updating the target information so that the evaluation information (sensory characteristic) of the target information approaches the standard. The comparison processing unit 105 presents an amendment to the target information or updates the target information based on the difference between the evaluation information and the standard as the predetermined process.

[0066] <Operation Example> As shown in FIG. 11, the evaluation apparatus 100 operates as follows. The flow of FIG. 11 includes the same steps S101 to S105 as the flow of FIG. 2, and further includes step S141. However, step S105 may not be included. The comparison processing unit 105 performs a predetermined process (step S141) using the comparison result between the evaluation information of the target information generated in step S103 and the standard.

[0067] The predetermined process in step S141 includes the process shown in FIG. 12. The comparison processing unit 105 obtains the difference between the evaluation information and the reference. For example, the difference for each sense between the sensory characteristics (the value of the relevance of each sense) of the target information indicated by the evaluation information and the sensory characteristics (the value of the relevance of each sense) of the reference is obtained (step S151). Then, based on the difference, the comparison processing unit 105 presents an amendment to the target information or updates the target information (step S153).

[0068] For each numerical value of the relevance of the sense indicating the sensory characteristics, the comparison processing unit 105 makes the difference between the value of the sensory characteristics of the target information and the reference fall within a predetermined range. When the difference between the value of the sensory characteristics of the target information and the reference exceeds the predetermined range, the comparison processing unit 105 creates an amendment to the target information. For example, the comparison processing unit 105 uses the generation AI to generate an amendment to the target information of the target object so that the difference between the value of the target information and the reference falls within a predetermined range. Alternatively, the comparison processing unit 105 may use the dialogue-type generation AI to output the proposed content (advice information) of the amendment to the first communication device 200 used by the operator on the information sender side, receive an editing operation of the target information, and perform a correction process on the target information.

[0069] For example, the comparison processing unit 105 may output advice information such as "Changing A (word or sentence) to B (word or sentence) will reduce the difference from the reference. Do you want to change it?" to the first communication device 200 for the target information. Furthermore, the advice information may include information indicating the type of sense of the information to be added to the target information (for example, a message such as "There is a lack of information related to vision"). Also, the advice information may include information indicating the type of sense of the information to be deleted from the target information (for example, a message such as "It is recommended to delete C (word or sentence) related to touch").

[0070] Alternatively, when the difference between the value of the target information and the reference exceeds a predetermined range, the comparison processing unit 105 may create an amendment to the target information and automatically reflect the content of the created amendment in the target information to update the target information. When the target information is an image (at least one of a moving image and a still image), in the presentation process of the amendment, the comparison processing unit 105 may present an alternative for the object to be included in the image.

[0071] The target information corrected or updated in this way can be reflected in the content of web pages, SNS (Social Networking Service), advertisement videos, publications, catalogs, and flyers. These contents are transmitted to users. For example, the user can use the second communication device 300 to access the content and view the corrected or updated target information. Alternatively, the corrected or updated target information can be distributed to users or purchased by users.

[0072] As described above, in the evaluation device 100 of the present embodiment, the comparison processing unit 105 can compare the evaluation information of the target information with the reference and perform a predetermined process using the comparison result. The reference is, for example, the sensory characteristics intended by the information sender for the target information of the target object. Thus, according to the evaluation device 100 of the present embodiment, the same effects as those of the above embodiment can be achieved, and furthermore, for example, since a predetermined process can be performed according to the reference, a process of presenting an amendment to the target information and a process of updating the target information can be performed so that the evaluation information (sensory characteristics) of the target information approaches the reference.

[0073] (Third Embodiment) The third evaluation device 100 according to the present disclosure is the same as the second evaluation device 100 in FIG. 10, except that when a certain object is specified, it is configured to output information about other objects having similar sensory characteristics. Since the third evaluation device 100 has the same configuration as the second evaluation device 100 in FIG. 10, it will be described below with reference to FIG. 10. Note that each element in FIG. 10 may be combined within a range that does not conflict with the elements of one or more embodiments.

[0074] <Functional configuration example> As shown in FIG. 10, the evaluation device 100 has the same generation unit 102 and output unit 104 as those in FIG. 1, and further has a comparison processing unit 105. When the first object is specified, the comparison processing unit 105 uses as a reference the sensory characteristics indicated by the evaluation information of the first object. The comparison processing unit 105 identifies a second object that is different from the first object and whose evaluation information indicates sensory characteristics within a predetermined range from the reference (the sensory characteristics indicated by the evaluation information of the first object). The output unit 104 further outputs information about the specified second object.

[0075] The comparison processing unit 105 causes the input form including the UI (User Interface) for receiving the designation of the first object to be displayed on the first communication device 200 used by the operator on the information sender side, and can receive the designation of the first object by the operator's operation. For example, the comparison processing unit 105 may display a text input field on the first communication device 200 and receive the input of the text indicating the first object. However, the designation of the first object may be received by the operation of the user on the second communication device 300. For example, when the user is searching for information on a sightseeing tour, if the user designates a certain sightseeing spot as the first object, information about other sightseeing spots that are the second objects similar to the designated sightseeing spot can be further presented to the user.

[0076] The criterion is that the numerical difference in the relevance of each sense indicating the sensory characteristics of the target information of the first object is within a predetermined range. An object with sensory characteristic values within the predetermined range is considered to have sensory characteristics similar to those of the first object. The generation unit 102 generates evaluation information indicating the sensory characteristics of the target information of a plurality of objects, and the output unit 104 stores it in the storage device 120. When the evaluation information indicating the sensory characteristics of the target information of the specified first object has not been generated, the generation unit 102 generates the evaluation information of the target information of the first object. When the evaluation information of the target information of the first object has been generated, the comparison processing unit 105 refers to the storage device 120 and acquires the evaluation information of the target information of the first object. Then, the comparison processing unit 105 refers to the storage device 120 and identifies at least one second object having sensory characteristics similar to the sensory characteristics indicated by the evaluation information of the target information of the first object among the evaluation information of the plurality of objects. Note that the criterion may be that the numerical difference in the relevance of at least one sense among a plurality of senses is within a predetermined range. The comparison processing unit 105 may further accept a designation of which sense to identify a similar object for.

[0077] The information regarding the second object may be the target information (at least one of text and image) of the identified second object, may be a word or sentence representing the second object, or may be both. The output unit 104 outputs the information regarding the second object to the first communication device 200 used by the operator on the information sender side. For example, the output unit 104 causes the information regarding the second object to be displayed on the display of the first communication device 200.

[0078] Also, as described above, when the evaluation information of the target information regarding the object is shown in a radar chart as shown in FIG. 9, it is shown in different shapes according to the sensory characteristics for each target information. In other words, it is considered that the target information regarding objects with similar sensory characteristics will have a similar shape. Therefore, in other examples, the comparison processing unit 105 may identify target objects with similar graph shapes such as the radar chart output by the output unit 104. For example, an object with a deviation in the shape of the radar chart within a predetermined range (e.g., within ±5%) may be identified as the second object.

[0079] The output destination of the output unit 104 may be the first communication device 200 or the second communication device 300. Further, the output unit 104 may arrange and display information regarding the second object together with the information regarding the first object on the same screen.

[0080] Furthermore, the output unit 104 may output evaluation information of the target information of the second object generated by the generation unit 102 as information regarding the second object. That is, the output unit 104 may display an output screen 400 showing the sensory characteristics of the target information regarding the second object on the display of the evaluation device 100 or the first communication device 200.

[0081] Furthermore, the output screen 400 output by the output unit 104 may include at least two graphs or charts that can be compared and show the sensory characteristics regarding the first object and at least one second object. For example, the output unit 104 may display the sensory characteristics of the first object and at least one second object on one radar chart. Alternatively, the output unit 104 may express the sensory characteristics of the first object and at least one second object in the form of strip graphs respectively, and display a plurality of strip graphs in parallel.

[0082] <Operation Example> As shown in FIG. 13, the evaluation device 100 operates as follows. The flow in FIG. 13 starts when the designation of the first object is received (step S131). Before this flow starts, the generation unit 102 generates evaluation information of the object information of a plurality of other objects, and the output unit 104 stores it in the storage device 120. Then, the comparison processing unit 105 identifies, from the evaluation information of the object information of a plurality of other objects, a second object whose sensory characteristics indicated by the evaluation information of the object information of the first object are within a predetermined range based on the sensory characteristics indicated by the evaluation information of the object information of the first object (step S133). The output unit 104 outputs information regarding the identified second object (step S135).

[0083] As described above, in the evaluation device 100 of the present embodiment, when the first object is designated, the comparison processing unit 105 identifies a second object that is different from the first object and whose difference in evaluation information satisfies the criterion. Then, the output unit 104 further outputs information regarding the identified second object. Thus, according to the evaluation device 100 of the present embodiment, the same effects as those of the above embodiment are achieved, and furthermore, information regarding a second object having the same evaluation information (sensory characteristics) as the designated first object can be output.

[0084] The information sender or user can view, with reference to the object information of the second object having sensory characteristics similar to those of the first object. Also, since the output unit 104 can display on the output screen 400 the evaluation information of the first object and the second object in a comparable manner, the information sender or user can compare the sensory characteristics of a plurality of objects including the first object and the second object.

[0085] (Fourth Embodiment) The fourth evaluation device 100 in FIG. 14 according to the present disclosure is the same as the second evaluation device 100 in FIG. 10, except that it further has a person evaluation unit 108. Each element in FIG. 14 may be combined within a range that does not conflict with the elements of one or more embodiments.

[0086] <Functional configuration example> In the present disclosure, the evaluation device 100 has a configuration for identifying the preference of the target sensation of the target person from the attributes and behavioral characteristics of the target person who is the destination (target) of the information, and providing target information of the target object that matches the preference of the target person. Further, in the present disclosure, the preference can be evaluated separately for the case where the target person is an individual and the case where the target is a group including a plurality of target persons, and each preference can be used as a reference.

[0087] <<Preference of an individual>> First, the case of using the preference of an individual will be described. As shown in FIG. 14, the evaluation device 100 has the same generation unit 102, output unit 104, and comparison processing unit 105 as those in FIG. 10, and further has a person evaluation unit 108. The person evaluation unit 108 evaluates the preference in the target sensation of the target person using at least one of the attribute information and behavioral characteristics of the target person. The comparison processing unit 105 compares the evaluation information of the target information with the reference using the preference of the target person as a reference, and performs a predetermined process using the comparison result.

[0088] The target person is the user (purchaser) of the target object and is the person to whom the target information is transmitted.

[0089] The attribute information of the target person is information indicating at least one of age (age group), gender, occupation, place of residence, and family composition (distinction between married and unmarried, presence or absence of children, whether three generations live together, presence or absence of pets, etc.).

[0090] The person evaluation unit 108 may display an input form including a UI for receiving the designation of the attributes of the target person in the first communication device 200 used by the operator on the information sender side, and receive the designation of the attributes of the target person by operator operation. In this case, the target person is the person to whom the information sender intends to transmit the information.

[0091] In other examples, the attribute information of the target person may be information that the user of the object, who is the target person, has registered in advance. For example, before using the service, the person evaluation unit 108 may display a form for the user to input attribute information as a usage application on the second communication device 300, and acquire the attribute information input by the user's operation.

[0092] The person evaluation unit 108 identifies the behavior characteristics of the target person using information indicating the behavior history of the target person (for example, information obtained from the SNS sent by the user who is the target person). The person evaluation unit 108 evaluates the preference in the target sense of the target person using at least one of the attribute information and the behavior characteristics of the target person. For example, the person evaluation unit 108 extracts at least one object that the target person has given a good evaluation from the posted content of the SNS sent by the target person. Then, the person evaluation unit 108 sets the post related to the object as target information and causes the generation unit 102 to generate sensory characteristics, and sets the sensory characteristics as the preference in the target sense of the target person.

[0093] Then, based on the difference between the sensory characteristics of the target information and the preference in the target sense of the target person, with the preference of the target person generated by the person evaluation unit 108 as a reference, the comparison processing unit 105 presents an amendment to the target information or updates the target information. The comparison processing unit 105 makes the evaluation information (sensory characteristics) of the target information approach the preference of the target person through a predetermined process.

[0094] <<Group preference>> Next, the case of using the preference of the group will be described. The person evaluation unit 108 evaluates the preference in the target sense of the target group using at least one of the attribute information and the behavior characteristics of the target group. The comparison processing unit 105 compares the evaluation information of the target information with the reference using the preference of the target group as a reference, and performs a predetermined process using the comparison result.

[0095] The target group refers to the users (purchasers) of the target object and is the group of people to whom the target information is to be transmitted.

[0096] The attribute information of the target group is information indicating at least one of the ages (age groups), genders, occupations, places of residence, and family compositions (distinction between married and unmarried, presence or absence of children, cohabitation of three generations, presence or absence of pets, etc.) of a plurality of people included in the group.

[0097] The person evaluation unit 108 may display an input form including a UI for accepting the specification of the attributes of the people in the target group (for example, the age group and gender targeted by the target object) in the first communication device 200 used by the operator on the information sender side. Then, the person evaluation unit 108 may accept the specification of the attributes of the people in the target group by operator operation. In this case, the people in the target group are the people targeted by the information that the information sender intends to transmit.

[0098] In another example, the attribute information of the people in the target group may be information previously registered by each user of the target object included in the target group. For example, the person evaluation unit 108 may use, as the attribute information of the target group, information in which the information of a plurality of users participating in a trip has been previously registered, such as at the time of applying for the trip. In this case, the logical sum of the attribute information of the plurality of users can be used as the attribute information of the target group. For example, if both male and female genders are included, the gender of the target group is male and female. For example, if the ages are 22 years old, 23 years old, and 30 years old, the age of the target group is 22 to 30 years old. Similar to the case of the personal preferences above, the person evaluation unit 108 may display, on the second communication device 300, a form for each user to input attribute information, such as at the time before using the service as a usage application, and acquire the attribute information input by each user's operation.

[0099] The person evaluation unit 108 also specifies, with respect to the behavior characteristics of the target group, in the same way as for the target person, using information indicating the behavior history of each person included in the target group (for example, information obtained from the SNS transmitted by each user who is a person included in the target group). The person evaluation unit 108 evaluates the preference in the target sense of the target group using at least one of the attribute information and behavior characteristics of each person in the target group. For example, the person evaluation unit 108 extracts, from the posted content of the SNS transmitted by each person in the target group, at least one target object that each person in the target group has evaluated favorably. The person evaluation unit 108 specifies the target objects by logical sum or logical product for the plurality of target objects respectively extracted corresponding to the plurality of persons. Then, the person evaluation unit 108 causes the generation unit 102 to generate the sensory characteristics using the post regarding the target object as the target information, and sets the sensory characteristics as the preference in the target sense of the target group.

[0100] Then, the comparison processing unit 105 presents an amendment to the target information or updates the target information based on the difference between the sensory characteristics of the target information and the preference of the target group with reference to the preference of the target group generated by the person evaluation unit 108. The comparison processing unit 105 makes the evaluation information (sensory characteristics) of the target information approach the preference of the target group by a predetermined process.

[0101] <<When the target group is family members>> The comparison processing unit 105 acquires the preference of each of the plurality of target persons included in the target group evaluated by the person evaluation unit 108, obtains the logical sum or logical product of the plurality of preferences, uses it as a reference, compares the evaluation information of the target information with the reference, and performs a predetermined process using the comparison result.

[0102] For example, when the target group is a family, the attributes and behavioral characteristics of each target person vary. That is, among the target persons in the target group, since both adults and children are included, the ages are diverse, and since both men and women are included, the genders are diverse. Therefore, the preferences of the multiple target persons included in the group also differ from each other. Thus, the comparison processing unit 105 obtains the logical sum or logical product of the preferences of the multiple target persons generated by the person evaluation unit 108 for each sense and uses it as a reference.

[0103] Furthermore, when the attributes and behavioral characteristics of each person are different, such as when the target group is a family, regarding the preferences in the target sense of the target group generated by the person evaluation unit 108, it may be possible to set a weighting indicating which member's preference is to be emphasized among the members constituting the target group. According to this configuration, for example, when a family with three members, father, mother, and child, is set as the target group, the preference of the child can be emphasized, or when services or products related to the father's birthday are the target information, the preference of the father can be emphasized and weighted accordingly.

[0104] Specifically, for example, when the comparison processing unit 105 sets the weighting of father:mother:child as 1:1:2, the weight coefficients are set as 0.25:0.25:0.5 respectively, and the logical sum can be obtained for the result of multiplying the preference of each person generated by the person evaluation unit 108 by the weight coefficient for each sense and used as a reference.

[0105] Various methods for setting the weighting can be considered and are exemplified below, but are not limited thereto. (1) The person evaluation unit 108 may accept the selection (at least one person) of the person whose preference is to be emphasized among the target group using a UI such as a checkbox on the setting screen by an operator operation. Then, the person evaluation unit 108 sets the weighting of the selected person to be, for example, N times (N is a value greater than 1, in the above example, N is 2) that of other persons. (2) The person evaluation unit 108 may accept and use the input of the value of the weight coefficient of each person using a UI such as a text box or a slider on the setting screen by an operator operation.

[0106] Then, the comparison processing unit 105 presents an amendment to the target information or updates the target information based on the difference between the sensory characteristics of the target information and the standard using the standard generated by the person evaluation unit 108. The comparison processing unit 105 makes the evaluation information (sensory characteristics) of the target information approach the standard preference through a predetermined process.

[0107] <Operation Example> <<Individual Preferences>> First, the case of using individual preferences will be described. As shown in FIG. 15, the evaluation device 100 operates as follows. The flow in FIG. 15 has the same steps S101 to S105 as in FIG. 2, and further has steps S161 and S163. Note that the processing order of step S161 and steps S103 to S105 may be reversed. That is, the evaluation device 100 may execute steps S161 and S163 after executing steps S101 to S105. Also, in FIG. 15, the processing of step S105 may not be executed.

[0108] First, the generation unit 102 processes the target information regarding the target object (step S101). Then, the person evaluation unit 108 evaluates the preference in the target sense of the target person using at least one of the attribute information and action characteristics of the target person (step S161). Then, the generation unit 102 generates evaluation information regarding a target sense that is at least one of vision, hearing, touch, taste, and smell for the target information (step S103). Then, the output unit 104 outputs the evaluation information (sensory characteristics) (step S105). Then, the comparison processing unit 105 compares the evaluation information of the target information with the standard using the preference of the target person as the standard, and performs a predetermined process using the comparison result (step S163). Specifically, the comparison processing unit 105 presents an amendment to the target information or updates the target information based on the difference between the sensory characteristics of the target information and the preference of the target person using the preference of the target person generated by the person evaluation unit 108 as the standard.

[0109] <<Group Preferences>> Next, the case of using group preferences will be described. As shown in FIG. 16, the evaluation device 100 operates as follows. The flow of FIG. 16 has the same steps S101 to S105 as FIG. 2, and further has steps S171 and S173. Note that the processing order of step S171 and steps S103 to S105 may be reversed. That is, after executing steps S101 to S105, steps S171 and S173 may be executed. Also, in FIG. 16, the processing of step S105 may not be executed.

[0110] First, the generation unit 102 processes target information regarding the target object (step S101). Then, the person evaluation unit 108 evaluates the preference in the target sense of the target group using at least one of the attribute information and behavioral characteristics of the target group (step S171). Then, the generation unit 102 generates evaluation information regarding a target sense that is at least one of vision, hearing, touch, taste, and smell for the target information (step S103). Then, the output unit 104 outputs the evaluation information (sensory characteristics) (step S105). Then, the comparison processing unit 105 compares the evaluation information of the target information with the reference using the preference of the target group as a reference, and performs a predetermined process using the comparison result (step S173). Specifically, the comparison processing unit 105 presents an amendment to the target information or updates the target information based on the difference between the sensory characteristics of the target information and the preference of the target group, using the preference of the target group generated by the person evaluation unit 108 as a reference.

[0111] As described above, in the evaluation device 100 of the present embodiment, the person evaluation unit 108 evaluates the preference in the target sense of the target person using at least one of the attribute information and behavioral characteristics of the target person. Then, the comparison processing unit 105 compares the evaluation information of the target information with the reference using the preference of the target person as a reference, and performs a predetermined process using the comparison result. Thus, according to the evaluation apparatus 100 of the present embodiment, while achieving the same effects as those of the above embodiment, further, based on the preferences of the target sensation of the target person specified based on the attributes and behavior characteristics of the target person, etc., a predetermined process can be performed. By the predetermined process of the comparison processing unit 105, it becomes possible to correct the target information so as to bring the target information closer to the preferences of the target sensation of the target person.

[0112] Also, in the evaluation apparatus 100, the person evaluation unit 108 evaluates the preference in the target sensation of the target group using at least one of the attribute information and behavior characteristics of the target group. Then, the comparison processing unit 105 compares the evaluation information of the target information with the reference using the preference of the target group as a reference, and performs a predetermined process using the comparison result. Thus, according to the evaluation apparatus 100 of the present embodiment, while achieving the same effects as those of the above embodiment, further, based on the preferences of the target sensation of the target group specified based on the attributes and behavior characteristics of the target group, etc., a predetermined process can be performed. By the predetermined process of the comparison processing unit 105, it becomes possible to correct the target information so as to bring the target information closer to the preferences of the target sensation of the target group.

[0113] Thus, according to the present embodiment, it becomes possible to transmit target information that matches the preferences of the target person or target group.

[0114] (Fifth Embodiment) The fifth evaluation apparatus 100 of FIG. 17 according to the present disclosure is the same as the fourth evaluation apparatus 100 of FIG. 14, except that it further has a notification unit 110. Note that each element in FIG. 17 may be combined within a range that does not conflict with each element of one or more embodiments.

[0115] <Functional Configuration Example> As shown in FIG. 17, the evaluation apparatus 100 has the same generation unit 102, output unit 104, comparison processing unit 105, and person evaluation unit 108 as those in FIG. 14, and further has a notification unit 110. The notification unit 110 notifies when the difference between the evaluation information and the preference of the target person is equal to or greater than a threshold value. The notification destination is, for example, the first communication device 200 used by the information sender. The notification destination may be the second communication device 300 of the user. In the former case, in the first communication device 200 used by the operator on the information sender side, an input form including a UI for receiving the designation of the target object and the target person is displayed, and the designation of the target object and the target person is received by an operator operation. In the latter case, in the second communication device 300 of the user, the notification unit 110 displays an input form including a UI for receiving the designation of the target object, and receives the designation of the target object by the operation of the user. The notification unit 110 sets the target person as the user.

[0116] As a notification method, for example, on the display of the first communication device 200 (or the second communication device 300), information (such as a message) indicating that the target information of the designated target object deviates from the preference of the target person (or user) is displayed. As another notification method, the notification unit 110 may display information indicating the degree of deviation. The information indicating the degree of deviation may be a numerical value, or may be an icon or a mark that expresses the degree of deviation step by step in terms of color, pattern, or size. Alternatively, as yet another notification method, among a plurality of target objects, the evaluation information of the target object to be notified may be highlighted. The notification unit 110 can notify by at least one of these notification methods.

[0117] Upon receiving the notification, the information sender can cause, for example, the comparison processing unit 105 of the fourth embodiment described above to perform a predetermined process using the comparison result between the evaluation information of the target information and the reference based on the preference of the target person evaluated by the person evaluation unit 108. For example, the evaluation device 100 may display an operation UI for receiving the start of the process on the first communication device 200, and receive the start operation of the operator to cause the evaluation device 100 to execute the process.

[0118] <Operation example> As shown in FIG. 18, the evaluation device 100 operates as follows. This flow can be started and executed at any timing. The "any timing" means, for example, at least one of the following timings: after the evaluation information of the target information is generated by the generation unit 102, after a predetermined process is performed by the comparison processing unit 105, after the preference of the target person is evaluated by the person evaluation unit 108, and when a start operation by the operator is received.

[0119] The notification unit 110 determines whether the difference between the evaluation information and the preference of the target person is equal to or greater than a threshold value (step S181). Then, when the difference between the evaluation information and the preference of the target person is equal to or greater than the threshold value (YES in step S181), the notification unit 110 performs a notification process (step S183) and ends this process. When the difference between the evaluation information and the preference of the target person is less than the threshold value (NO in step S181), the notification unit 110 bypasses step S183 and ends this process.

[0120] As described above, in the evaluation apparatus 100 of the present embodiment, the notification unit 110 performs a notification when the difference between the evaluation information and the preference of the target person is equal to or greater than the threshold value. Thus, according to the evaluation apparatus 100 of the present embodiment, the same effects as those of the above-described embodiment can be obtained, and further, a notification can be made when the evaluation information (sensory characteristics) of the target information does not match the preference of the target person.

[0121] As described above, the embodiments of the present invention have been described with reference to the drawings, but these are examples of the present invention, and various configurations other than the above can also be adopted.

[0122] (Other Embodiments) The evaluation apparatus 100 according to the present disclosure has the same configuration as the evaluation apparatus 100 in FIG. 14, but the criteria and the predetermined process of the comparison processing unit 105 are different. The comparison processing unit 105 uses the preference of the target person generated by the person evaluation unit 108 as a criterion, and identifies an object of evaluation information that exhibits sensory characteristics within a predetermined range of difference from the criterion. The output unit 104 further outputs information regarding the identified object. However, the preferences of the target person may be the preferences of the target group.

[0123] The comparison processing unit 105 causes the first communication device 200 used by the operator on the information sender side to display an input form including a UI for receiving the designation of the target person, and can receive the designation of the target person by the operator's operation. For example, the target person may be a user who has applied for the use of the target object, or may be the target person intended by the information sender.

[0124] As described above, the generation unit 102 generates evaluation information indicating the sensory characteristics of the target information of a plurality of target objects and stores it in the storage device 120. The comparison processing unit 105 refers to the storage device 120 and identifies a target object having sensory characteristics similar to the preferences of the target person from among the evaluation information of the plurality of target objects. Specifically, the comparison processing unit 105 identifies a target object from among the evaluation information of the plurality of target objects, in which the difference between the value of the degree of relevance for each sense indicating the preferences of the target person and the value of the degree of relevance for each sense is within a predetermined range. Note that, among the plurality of senses included in the sensory characteristics, it may be sufficient that the difference in the numerical values of the degree of relevance of at least one sense is within a predetermined range. The comparison processing unit 105 may further receive a designation of which sense to identify a similar target object for.

[0125] As described above, in the evaluation apparatus 100 of another embodiment, the comparison processing unit 105 identifies a target object whose difference from the preferences of the target person generated by the person evaluation unit 108 is within a predetermined range. Then, the output unit 104 further outputs information regarding the identified target object. Thus, according to the evaluation apparatus 100 of another embodiment, the same effects as those of the above-described embodiment are achieved, and further, the preferences of the target person can be identified, and information regarding a target object similar to the preferences of the target person is output, so that the information can be browsed.

[0126] In addition, as another example of the present disclosure, it may be a program that causes at least one or more computers to execute the above-described method, or it may be a computer-readable recording medium on which such a program is recorded. This recording medium includes non-transitory tangible media. This computer program includes computer program code that, when executed by a computer, causes the computer to implement the information processing method on the evaluation device 100.

[0127] Note that any combination of the above components, and those obtained by converting the expression of the present disclosure among a method, an apparatus, a system, a recording medium, a computer program, etc., are also effective as aspects of the present disclosure.

[0128] Furthermore, the various components of the present disclosure do not necessarily have to exist independently of each other. It is also possible that a plurality of components are formed as one member, one component is formed of a plurality of members, a certain component is part of another component, a part of a certain component and a part of another component overlap, and so on.

[0129] Also, although a plurality of processing procedures are described in order in the method and computer program of the present disclosure, the described order does not limit the order of executing the plurality of processing procedures. Therefore, when implementing the method and computer program of the present disclosure, the order of the plurality of processing procedures can be changed within a range where there is no problem in terms of content.

[0130] Furthermore, the plurality of processing procedures of the method and computer program of the present disclosure are not limited to being executed at different timings. Therefore, it is also possible that another processing procedure is executed during the execution of a certain processing procedure, and a part or all of the execution timing of a certain processing procedure and the execution timing of another processing procedure overlap, and so on.

[0131] Although the present disclosure has been described with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure. And each embodiment can be combined with other embodiments as appropriate. In addition, when acquiring and using information about the user in the present disclosure, it shall be done legally.

[0132] Some or all of the above embodiments can be described as follows in the appended claims, but are not limited thereto. 1. Generating means for generating evaluation information regarding at least one of vision, hearing, touch, taste, and smell for the target information by processing the target information regarding the object; Output means for outputting the evaluation information; An evaluation device comprising: 2. In the evaluation device according to 1., The target information includes at least one of text and an image, The generating means Generates the evaluation information based on the degree of relevance between the detection result of the word included in the text or the object included in the image and the target sense. An evaluation device. 3. In the evaluation device according to 1. or 2., The evaluation device further comprises comparison processing means for performing predetermined processing using the comparison result between the evaluation information of the target information and a reference. 4. In the evaluation device according to 3., The comparison processing means As the predetermined processing, presents an amendment to the target information or updates the target information based on the difference between the evaluation information and the reference. An evaluation device. 5. In the evaluation device according to 3. or 4., The evaluation device further comprises person evaluation means for evaluating the preference of the target person in the target sense using at least one of the attribute information and the behavior characteristics of the target person. The comparison processing means uses the preference of the target person as the reference, and the evaluation device. 6. In the evaluation device according to any one of 3. to 5., The evaluation device further includes a person evaluation means for evaluating the preference in the target sense of the target group by using at least one of the attribute information and the behavior characteristics of the target group. The comparison processing means uses the preference of the target group as the reference, and the evaluation device. 7. In the evaluation device according to any one of 3. to 6., The evaluation device further includes a person evaluation means for evaluating the preference in the target sense of the target person by using at least one of the attribute information and the behavior characteristics of the target person. The comparison processing means, uses the preference of the target person as the reference, identifies the object of the evaluation information whose difference from the reference is within a predetermined range, The output means, The evaluation device further outputs information regarding the identified object. 8. In the evaluation device according to any one of 3. to 7., The comparison processing means, when the first object is specified, uses the evaluation information of the first object as the reference, identifies a second object that is different from the first object and whose difference from the reference is within a predetermined range in the evaluation information, The output means, The evaluation device further outputs information regarding the identified second object. 9. In the evaluation device according to any one of 1. to 8., The output means outputs the evaluation information in the form of a graph or a chart, and the evaluation device. 10. In the evaluation device according to any one of 1. to 9., An evaluation device, wherein the target information regarding the target object is information included in at least one of a web page, an SNS (Social Networking Service), an advertisement video, a publication, a catalog, and a flyer. 11. In the evaluation device according to any one of 3. to 10., The evaluation device, wherein the criteria are set for each attribute of the target of the target object. 12. In the evaluation device according to any one of 3. to 11., The evaluation device further includes a person evaluation means for evaluating the preference in the target sense of the target person by using at least one of the attribute information and the behavior characteristics of the target person. The evaluation device further includes a notification means for notifying when the difference between the evaluation information and the preference of the target person is equal to or greater than a threshold value. 13. In the evaluation device according to any one of 3. to 12., The evaluation device further includes a person evaluation means for evaluating the preference in the target sense of the target person by using at least one of the attribute information and the behavior characteristics of the target person. The comparison processing means The evaluation device, which acquires the preferences of a plurality of the target persons, obtains the logical sum or logical product of the plurality of preferences, and uses the result as the criteria.

[0133] 14. One or more computers By processing information regarding a target object, generate evaluation information regarding at least one of vision, hearing, touch, taste, and smell for the target object, An evaluation method for outputting the evaluation information. 15. A program for causing a computer to Execute a generation process for generating evaluation information regarding at least one of vision, hearing, touch, taste, and smell for a target object by processing information regarding the target object, An output process for outputting the evaluation information. 16. Generating means for generating evaluation information regarding at least one of vision, hearing, touch, taste, and smell about the object by processing information regarding the object; Output means for outputting the evaluation information; An evaluation system comprising the above. 17. A computer-readable recording medium recording a program for causing a computer to execute: A generation process for generating evaluation information regarding at least one of vision, hearing, touch, taste, and smell about the object by processing information regarding the object; An output process for outputting the evaluation information.

[0134] Also, part or all of the configurations described in Appendices 2 to 13, which are subordinate to the evaluation device of Appendix 1 described above, may be subordinate to the evaluation method of Appendix 14, the program of Appendix 15, the system of Appendix 16, and the recording medium of Appendix 17 in the same subordinate relationship as in Appendices 2 to 13. Furthermore, not limited to Appendices 1, 14, 15, 16, and 17, part or all of the configurations described as appendices may be made subordinate to various hardware, software, various recording means for recording software, or systems in the same manner within the scope not departing from the above-described embodiments.

Explanation of Signs

[0135] 1 Evaluation system 3 Communication network 100 Evaluation device 102 Generation unit 104 Output unit 106 Identification unit 108 Person evaluation unit 110 Notification unit 120 Storage device 130 Sensation dictionary 200 First communication device 300 Second communication device 400 Output screen 402 Object display column 404 Radar chart display column 410 Output Screen 1000 Computer 1010 Bus 1020 Processor 1030 Memory 1040 Storage Device 1050 Input / Output Interface 1060 Network Interface

Claims

1. Generating means for generating evaluation information regarding a target sensation, which is at least one of vision, hearing, touch, taste, and smell, for the target information by processing the target information regarding an object; Output means for outputting the evaluation information; An evaluation device comprising the above.

2. In the evaluation device according to Claim 1, the target information includes at least one of text and an image, and the generating means generates the evaluation information based on the degree of relevance between the detection result of a word included in the text or an object included in the image and the target sensation. An evaluation device.

3. In the evaluation device according to Claim 1 or 2, the evaluation device further comprises comparison processing means for performing predetermined processing using the comparison result between the evaluation information of the target information and a reference.

4. In the evaluation device according to Claim 3, the comparison processing means presents an amendment to the target information or updates the target information based on the difference between the evaluation information and the reference as the predetermined processing. An evaluation device.

5. In the evaluation device according to Claim 3, further comprising person evaluation means for evaluating the preference of the target person in the target sensation using at least one of the attribute information and behavioral characteristics of the target person, and the comparison processing means uses the preference of the target person as the reference. An evaluation device.

6. In the evaluation device according to Claim 3, further comprising person evaluation means for evaluating the preference of the target group in the target sensation using at least one of the attribute information and behavioral characteristics of the target group, and the comparison processing means uses the preference of the target group as the reference. An evaluation device.

7. In the evaluation device according to Claim 3, further comprising person evaluation means for evaluating the preference of the target person in the target sensation using at least one of the attribute information and behavioral characteristics of the target person, and the comparison processing means uses the preference of the target person as the reference, identifies the object of the evaluation information within a predetermined range of the difference from the reference, and the output means further outputs information regarding the identified object. An evaluation device.

8. In the evaluation device according to Claim 3, the comparison processing means when the first object is designated, uses the evaluation information of the first object as the reference, identifying a second object of the evaluation information that is different from the first object and whose difference from the reference is within a predetermined range; The output means is: an evaluation apparatus that further outputs information regarding the identified second object. **Claim 9** One or more computers, by processing information regarding an object, generate evaluation information regarding at least one of vision, hearing, touch, taste, and smell for the object, An evaluation method for outputting the evaluation information. **Claim 10** A program for causing a computer to generate, by processing information regarding an object, a generation process for generating evaluation information regarding at least one of vision, hearing, touch, taste, and smell for the object, and an output process for outputting the evaluation information.

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