JP2020190776A - Judgment device, judgment method and judgment program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a determination device, a determination method and a determination program for grasping the compatibility between a user's situation and a user's emotion when the content is provided to the user. A determination device 100 is a candidate for provision in a control unit 130 based on an acquisition unit 132 that acquires status information indicating a user's situation and a situation indicated by the status information acquired by the acquisition unit 132. Judgment unit 133 that determines whether or not the user's emotions when the content is provided to the user satisfy a predetermined condition (for example, whether or not the user's emotion becomes negative when the content is provided). And have. [Selection diagram] Fig. 3

Description

The present invention relates to a determination device, a determination method, and a determination program.

In recent years, a technique for estimating a user's emotion has been known. As an example of such a technique, a technique for estimating a user's emotion based on a content situation, a situation including a user's emotion, and the like is known.

Japanese Unexamined Patent Publication No. 2016-186741

However, with the above-mentioned conventional technique, it is not always possible to grasp the compatibility between the situation of the user and the emotion of the user when the content is provided to the user.

For example, in the above-mentioned conventional technique, the emotion of the user is estimated, and the response such as an image or a voice message that is estimated to obtain the user's sympathy is merely output. Therefore, in the above-mentioned conventional technique, it is not always possible to grasp the compatibility between the situation of the user and the emotion of the user when the content is provided to the user.

The present application has been made in view of the above, and an object of the present application is to grasp the compatibility between the situation of the user and the emotion of the user when the content is provided to the user.

The determination device according to the present application provides the user with content that is a candidate for provision based on the acquisition unit that acquires the situation information indicating the user's situation and the situation indicated by the situation information acquired by the acquisition unit. It is characterized by having a determination unit for determining whether or not the emotion of the user in the case satisfies a predetermined condition.

According to one aspect of the embodiment, it is possible to grasp the compatibility between the situation of the user and the emotion of the user when the content is provided to the user.

FIG. 1 is a diagram showing an example of a determination process according to an embodiment. FIG. 2 is a diagram showing a configuration example of the determination system according to the embodiment. FIG. 3 is a diagram showing a configuration example of the determination device according to the embodiment. FIG. 4 is a diagram showing an example of a provision candidate content storage unit according to the embodiment. FIG. 5 is a flowchart showing an example of the procedure of the determination process according to the embodiment. FIG. 6 is a hardware configuration diagram showing an example of a computer that realizes the function of the determination device.

Hereinafter, a determination device, a determination method, and a mode for carrying out the determination program according to the present application (hereinafter, referred to as “the embodiment”) will be described in detail with reference to the drawings. The determination device, determination method, and determination program according to the present application are not limited by this embodiment. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

[1. Embodiment]
The determination process realized by the determination apparatus and the like of the present embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of a determination process according to an embodiment. In the example shown in FIG. 1, the determination system 1 has a determination device 100 and a terminal device 10. The determination device 100 and the terminal device 10 are communicably connected by wire or wirelessly via a predetermined communication network (not shown). The determination system 1 shown in FIG. 1 may include a plurality of determination devices 100 and a plurality of terminal devices 10.

The determination device 100 shown in FIG. 1 is a server device that provides (distributes) various contents to the terminal device 10. The contents provided by the determination device 100 to the terminal device 10 include, for example, a portal site, a news site, an auction site, a weather forecast site, a shopping (electronic commerce) site, a finance (stock price) site, a route search site, and a map providing site. , Travel sites, restaurant introduction sites, SNS (Social Networking Service) sites, web blogs, and the like. Further, the content provided by the determination device 100 to the terminal device 10 may be, for example, content related to various applications installed in the terminal device 10 (hereinafter, may be referred to as “application”). Specifically, portal app, news app, auction site, weather forecast app, shopping app, finance (stock price) app, route search app, map providing app, travel app, restaurant introduction app, SNS app, blog browsing app, etc. It may be content related to. Further, the content provided by the determination device 100 to the terminal device 10 may be content related to various advertisements submitted by the advertiser.

Further, in the example of FIG. 1, the determination device 100 manages the information regarding the content that is a candidate for provision to the user (hereinafter, may be referred to as “provision candidate content”) in the provision candidate content storage unit 121. .. In the example of FIG. 1, the determination device 100 manages information such as text information and image information, which are components of the provision candidate content, in the provision candidate content storage unit 121.

The terminal device 10 shown in FIG. 1 is an information processing device used by a user. For example, the terminal device 10 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like. In the example shown in FIG. 1, the terminal device 10 shows a case where it is a smart device such as a smartphone or a tablet used by a user.

Further, in the example of FIG. 1, the terminal device 10 transmits the user information regarding the user to the determination device 100. For example, in the example of FIG. 1, the terminal device 10 is based on behavioral information related to user behavior (for example, content browsing history, search history, product purchase history, service reservation, etc.) and various sensors such as a heart rate sensor. Detected user's biological information, user's position information detected by GPS (Global Positioning System) function, etc., user's environmental information detected by the imaging unit and sound collecting unit (for example, microphone) of the terminal device 10. Etc. are transmitted to the determination device 100 as user information.

Hereinafter, the determination process performed by the determination device 100 will be described with reference to FIG. In the following description, an example is shown in which the current position of the user U1 who uses the terminal device 10 is facility A.

First, the determination device 100 acquires a content provision request from the terminal device 10 and status information indicating the status of the user U1 (step S11). For example, in the example of FIG. 1, the determination device 100 acquires facility information (for example, facility category) related to the facility A specified based on the position information of the user U1 as the status information of the user U1.

Subsequently, the determination device 100 identifies (estimates) the emotion of the user when the provision candidate content is provided in the situation indicated by the situation information (step S12). For example, in the example of FIG. 1, when the acquired status information and information related to the provision candidate content (for example, text information, image information, etc.) are input, the determination device 100 uses the user U1 in the situation indicated by the status information. (The emotion of the user U1 before the provision candidate content is provided) and the emotion of the user U1 when the provision candidate content is provided in the situation, using a model trained to output. Identify the emotions of user U1.

In the example of FIG. 1, the determination device 100 specifies the emotion of the user U1 and the score indicating the degree of the emotion. Here, in the example of FIG. 1, the score indicating the degree of emotion is indicated by a value from "0" to "100". For example, when the score of the emotion "fun" is specified as "0", it indicates that the user does not have the emotion "fun". Further, when the score of the emotion "fun" is specified as "100", it indicates that the user has the emotion "fun".

Subsequently, the determination device 100 determines whether or not the specified emotion satisfies a predetermined condition based on the situation indicated by the situation information (step S13). For example, in the example of FIG. 1, the determination device 100 provides the content based on the emotion of the user U1 in the situation indicated by the acquired situation information and the emotion of the user U1 when the provision candidate content is provided in the situation. It is determined whether or not the candidate content is appropriate as the content to be provided to the user U1.

Here, in the example of FIG. 1, the facility A where the user U1 is located is a facility (for example, a theme park, a leisure facility, etc.) that evokes emotion "fun", and in the situation indicated by the situation information in step S12. The positive emotion "fun (score: 30)" of the user U1 is identified, and the emotion of the user U1 when the content # 1 to # 3 which are the provision candidate contents are provided is "sad (score: 10)". , "Fun (score: 60)", "Fun (score: 30)". In this case, the determination device 100 selects the content # 2 in which the emotion of the user U1 becomes more positive when provided, and the content # 3 that does not change the emotion of the user U1 among the provision candidate contents. It is determined that the content to be provided to U1 is appropriate. On the other hand, the determination device 100 provides the user U1 with the content # 1 (that is, the content that does not match the situation of the user U1) in which the emotion of the user U1 is negative when the content is provided. Judged as inappropriate as content.

Further, in the example of FIG. 1, the facility A where the user U1 is located is a facility (for example, a funeral hall) that evokes emotion "sadness", and in step S12, the negative of the user U1 in the situation indicated by the situation information. Emotions "sad (score: 50)" are identified, and the emotions of user U1 when the provision candidate contents # 1 to # 3 are provided are "sad (score: 60)" and "anger (score: score), respectively." : 20) ”and“ sad (score: 50) ”are identified. In this case, the determination device 100 determines that the content # 3, which does not change the emotion of the user U1 when provided, is appropriate as the content to be provided to the user U1 among the provision candidate contents. On the other hand, the determination device 100 induces emotion "anger" in the content # 1 in which the emotion of the user U1 becomes more negative when provided, and the user U1 who has the emotion "sad" among the provision candidate contents. Content # 2 to be made (that is, content that does not match the situation of user U1) is determined to be inappropriate as content to be provided to user U1.

Subsequently, the determination device 100 provides the provision candidate content satisfying a predetermined condition (step S14). For example, in the example of FIG. 1, the determination device 100 provides the terminal device 10 with the provision candidate content determined to be appropriate in step S13 among the provision candidate contents.

In the example of FIG. 1, the determination device 100 has a relationship between a user's emotion, a series of situations of the user having a causal relationship with the emotion, and a set of information about the content provided to the user. User U1 in the situation indicated by the situation information based on the acquired situation information and information on the provision candidate content using a model that learned sex (for example, a model learned using MIL (Multiple Instance Learning) technology). And the emotion of the user U1 when the provision candidate content is provided in the situation may be specified. For example, the determination device 100 is in chronological order such as a series of user situations and a series of user situations after providing the content (for example, a series of operations (clicks and scrolls) performed when browsing the content). The relationship between the user's situation and the set of information about the content provided to the user and the emotions that the user presumed to have before, after, or after the situation. A model learned from may be used. It should be noted that such a model is realized, for example, by learning the relationship between the emotion estimated from the biometric information of the user and the series of situations of the user by using the MIL technology. When the user's situation indicated by the information and the information about the candidate content to be provided are input, it is presumed that there is some causal relationship with a series of situations such as before, the situation, or after the situation. It will output the emotions. That is, such a model shows the input user's situation by learning using the MIL technology by using emotions, a series of user's situations, and a set of information about the contents as learning data. Learning is performed so as to output information indicating emotions that have a causal relationship (have some relevance) with all or part of the situation information. Further, when the determination device 100 acquires the biometric information of the user, the acquired biometric information and the provision candidate content are used by using a model that learns the relationship between the set of information on the biometric information and the content and the emotion. The user's feelings may be estimated from the information about.

Further, the determination device 100 provides the content in the situation indicated by the situation information of the user U1 based on the information regarding the user's opinion (for example, the user's complaint, request, impression, etc. to the customer center or the like) regarding the provided content. It may be determined whether or not the candidate content can be provided. For example, the determination device 100 uses the content of the user's opinion regarding the provided content (for example, text information input by the user in an e-mail transmission form or the like, or a telephone response between the user and the operator who responds to the user. (Voice information related to) is acquired from the terminal device used by the user or an external server device. Then, the determination device 100 analyzes the acquired text information and voice information by appropriately using a natural language processing technique such as morphological analysis, thereby indicating the situation of the user when the content is provided and the situation information. The emotions that the content evokes to the user are identified, and based on the identified information, it is determined whether or not the provision candidate content can be provided in the situation indicated by the situation information of the user U1.

Here, the determination device 100 acquires information on the user's complaint about the provided content from the terminal device used by the user, and from the information, the situation information indicating the user's situation "congestion" and the user. It is assumed that the emotion "embarrassed" that the content provided to the user evokes is identified. In this case, when the determination device 100 acquires the situation information of the user U1 indicating the situation "congestion", the content that causes the emotion "embarrassment" among the provision candidate contents is not provided as the content to be provided to the user U1. Judge as appropriate.

Further, the determination device 100 includes emotions caused by the content to the user (hereinafter, may be referred to as "content emotion") and discomfort felt by the user due to the content emotion (for example, anger or disgust). The combination with the situation information indicating the situation of the user whose degree is equal to or higher than a predetermined threshold is specified, and based on the specified combination, it is determined whether or not the provision candidate content can be provided in the situation indicated by the situation information of the user U1. You may. For example, the determination device 100 includes the user's biological information detected by the heart rate sensor included in the terminal device used by the user, the user's movement speed acquired by the motion sensor, and the operation history for the terminal device (content scrolling speed, content scrolling speed, The degree of discomfort is calculated based on the number of times the selection operation is performed.

Here, it is assumed that the determination device 100 specifies that the degree of discomfort "anger" felt by the user in the situation "during the funeral" is equal to or higher than a predetermined threshold value due to the content emotion "fun". In this case, when the determination device 100 acquires the status information of the user U1 indicating the status "in funeral", among the provision candidate contents, the content that evokes the emotion "fun" is provided to the user U1 as the content. Judged as inappropriate.

As described above, the determination device 100 according to the embodiment can determine whether or not the provision candidate content is appropriate as the content to be provided in the user's situation indicated by the situation information. That is, the determination device 100 according to the embodiment can grasp the compatibility between the situation of the user and the emotion of the user when the content is provided to the user.

[2. Judgment system configuration]
Next, the determination system 1 for realizing the above-mentioned information processing will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the determination system according to the embodiment. As shown in FIG. 2, the determination system 1 according to the embodiment includes a determination device 100 and a terminal device 10. The determination device 100 and the terminal device 10 are connected to each other via a network N so as to be able to communicate with each other by wire or wirelessly. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a regional IP (Internet Protocol) network, and the Internet. The network N may include a wired network or may include a wireless network. Further, the determination system 1 shown in FIG. 2 may include a plurality of determination devices 100 and a plurality of terminal devices 10.

The determination device 100 is a server device that provides various contents to the terminal device 10. Further, the determination device 100 manages the information regarding the provision candidate content in the provision candidate content storage unit 121. The determination device 100 may be a server that distributes the application data itself. Further, the determination device 100 may function as a distribution device that distributes control information to the terminal device 10. Here, the control information is described in, for example, a script language such as Javascript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). The application itself related to the content provided by the determination device 100 may be regarded as control information. The configuration of the determination device 100 will be described later.

The terminal device 10 is an information processing device used by the user. The terminal device 10 displays the content provided by the determination device 100 by a web browser or an application. Further, when the terminal device 10 receives the control information from the determination device 100 that realizes the content display processing provided by the determination device 100, the terminal device 10 realizes the display processing according to the control information. Further, the terminal device 10 transmits user information such as user behavior information, biological information, position information, environmental information, and the like to the determination device 100.

[3. Judgment device configuration]
Next, the configuration of the determination device 100 will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the determination device according to the embodiment. As shown in FIG. 3, the determination device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(About communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the terminal device 10 or the like.

(About storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 3, the storage unit 120 has a provision candidate content storage unit 121.

(About the provision candidate content storage unit 121)
The provision candidate content storage unit 121 manages information regarding the provision candidate content. Here, an example of the information stored in the provision candidate content storage unit 121 will be described with reference to FIG. FIG. 4 is a diagram showing an example of a provision candidate content storage unit according to the embodiment. In the example of FIG. 4, the provision candidate content storage unit 121 has items such as "content ID", "category", "text information", and "image information".

The "content ID" indicates identification information for identifying the provision candidate content. "Category" indicates the category to which the offer candidate content belongs. "Text information" indicates text information of the provision candidate content. In the example shown in FIG. 4, although conceptual information such as "text information # 1" is stored in "text information", text information is actually stored. "Image information" indicates image information of the provision candidate content. In the example shown in FIG. 4, an example in which conceptual information such as "image information # 1" is stored in "image information" is shown, but in reality, still images, moving images, etc., or these A URL (Uniform Resource Locator) indicating the location, a file path name indicating the storage location, and the like are stored.

That is, in FIG. 4, the provision candidate content identified by the content ID "content # 1" belongs to the category "current affairs" and has "text information # 1" as text information and "image information # 1" as image information. Is shown.

(About control unit 130)
The control unit 130 is a controller, and for example, various programs stored in a storage device inside the determination device 100 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like use the RAM as a work area. It is realized by being executed. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). As shown in FIG. 3, the control unit 130 according to the embodiment includes an estimation unit 131, an acquisition unit 132, a determination unit 133, and a provision unit 134, and has functions and operations of information processing described below. Realize or execute.

(About estimation unit 131)
The estimation unit 131 estimates the current situation of the user based on the user's behavior information transmitted from the terminal device 10. For example, the estimation unit 131 estimates the current status of the user based on the user's behavior information such as content browsing history, search history, product purchase history, and service reservation.

For example, the estimation unit 131 may estimate the user's situation by analyzing the text information included in the behavior information by appropriately using a natural language processing technique such as morphological analysis. Specifically, when browsing content related to a diet or purchasing low-carbohydrate foods continuously, the estimation unit 131 estimates that the current situation of the user is "on a diet". In addition, for example, when a search history related to a specific area or a reservation for transportation means to visit the area is made, the estimation unit 131 estimates the current situation of the user as "before travel". ..

Further, the estimation unit 131 may estimate the user's situation based on the user's current position. For example, in the example of FIG. 1, the estimation unit 131 estimates that the user is located in the facility A based on the current position of the user U1 detected by the GPS function or the like of the terminal device 10.

In addition, the estimation unit 131 may estimate the situation around the user (for example, the congestion situation) based on the information about the public transportation means corresponding to the current position of the user. In addition, the estimation unit 131 may estimate an event that has occurred to the user based on information on a disaster or an accident that has occurred in the area corresponding to the current position of the user.

Further, the estimation unit 131 may estimate the degree of the event that has occurred to the user (in other words, the degree of influence that the event has on the user) based on the behavior information of the user. For example, when the event "funeral" that occurred to the user is estimated based on the user's behavior information and "funeral" is included in the user's search history, the estimation unit 131 includes "relatives" in the search history. It is estimated that the event "funeral" has a higher impact on users than when "funeral" is included.

(About acquisition unit 132)
The acquisition unit 132 acquires status information indicating the status of the user. For example, in the example of FIG. 1, the acquisition unit 132 acquires the status information of the user U1 from the terminal device 10.

In addition, the acquisition unit 132 may acquire the state around the user as status information. For example, the acquisition unit 132 acquires the state around the user based on the user's environmental information or the like detected by the imaging unit, the sound collecting unit, or the like of the terminal device 10 as status information. For example, the acquisition unit 132 acquires the state "congestion" around the user when the loudness of the sound detected by the sound collecting unit of the terminal device 10 satisfies a predetermined condition.

In addition, the acquisition unit 132 may acquire facility information regarding the facility where the user is located as status information. For example, in the example of FIG. 1, the acquisition unit 132 acquires the facility information related to the facility A corresponding to the user's position information. For example, the acquisition unit 132 acquires the facility category (for example, public transportation facility, leisure facility, medical facility, ceremony hall, etc.), congestion status, etc. as facility information.

In addition, the acquisition unit 132 may acquire event information regarding an event that has occurred to the user as status information. For example, the acquisition unit 132 provides event information on natural events such as earthquakes, tsunamis, and fires that occur in the area where the user is based, and human events such as traffic accidents, injuries, and terrorism. For example, information indicating an event, the degree of the event, etc.) is acquired. Further, for example, the acquisition unit 132 may acquire event information based on facility information regarding the facility where the user is located. For example, when the facility where the user is located is a funeral home, the acquisition unit 132 acquires event information regarding the event "funeral" that has occurred to the user.

The acquisition unit 132 may acquire the information estimated by the estimation unit 131 from the user's behavior information as event information.

In addition, the acquisition unit 132 may acquire status information indicating the user's situation estimated based on the behavior information regarding the user's behavior. For example, the acquisition unit 132 acquires the situation information indicating the user's situation estimated by the estimation unit 131 based on the user's behavior information.

In addition, the acquisition unit 132 may acquire status information indicating the user's situation estimated based on the behavior information including the purchase history of the user's product. For example, the acquisition unit 132 acquires the situation information indicating the user's situation estimated by the estimation unit 131 based on the purchase history of the user's product.

In addition, the acquisition unit 132 may acquire status information indicating the user's situation estimated based on the behavior information including the browsing history of the user's content. For example, the acquisition unit 132 acquires status information indicating the user's situation estimated by the estimation unit 131 based on the browsing history of the user's content.

In addition, the acquisition unit 132 may acquire status information indicating the user's situation estimated based on the behavior information including the user's search history. For example, the acquisition unit 132 acquires the situation information indicating the user's situation estimated by the estimation unit 131 based on the user's search history.

In addition, the acquisition unit 132 may acquire status information indicating the user's situation estimated based on the user's current position. For example, the acquisition unit 132 acquires status information indicating the user's situation estimated by the estimation unit 131 based on the user's current position.

(About judgment unit 133)
The determination unit 133 determines whether or not the emotion of the user when the content as a candidate for provision is provided to the user satisfies a predetermined condition based on the situation indicated by the situation information acquired by the acquisition unit 132. .. For example, when the determination unit 133 inputs the status information acquired by the acquisition unit 132 and the information regarding the provision candidate content, the user's emotion (user U1 before the provision candidate content is provided) in the situation indicated by the status information. (Emotion) and the user's emotion when the provision candidate content is provided in the situation, and the provision candidate is stored in the provision candidate content storage unit 121 using a model trained to output the provision candidate content. It is determined whether or not the user's emotions when the content is provided to the user satisfy a predetermined condition.

For example, in the example of FIG. 1, the determination unit 133 determines that the content that does not change the emotion of the user U1 when provided is appropriate as the content to be provided to the user U1.

Further, the determination unit 133 may determine whether or not the emotion of the user when the content is provided satisfies the condition corresponding to the situation indicated by the situation information. For example, in the example of FIG. 1, when the facility A where the user U1 is located is a facility that evokes the emotion "fun", and the positive emotion "fun" of the user U1 is specified in the situation indicated by the situation information. , The determination unit 133 determines that, among the provision candidate contents, the content in which the emotion of the user U1 becomes more positive when provided is appropriate as the content to be provided to the user U1.

When the situation indicated by the situation information indicates the state "congestion" around the user, the determination unit 133 causes the user to feel "embarrassed" or "awkward" among the candidate contents to be provided. Content to be caused (for example, content in which the exposure of the skin in the image satisfies a predetermined condition) may be determined to be inappropriate as content to be provided to the user.

In addition, the determination unit 133 may determine whether or not the emotion of the user when the content is provided satisfies the condition according to the degree of the event. For example, the determination unit 133 determines whether or not the provision candidate content is appropriate as the content to be provided to the user in consideration of the weight determined according to the degree of the event that has occurred to the user. For example, in the example of FIG. 1, when an event that causes negative emotions to the user such as a disaster, an accident, or a funeral occurs, the determination unit 133 identifies the content as a candidate for provision that causes negative emotions. The score indicating the degree of emotion is multiplied by a value according to the degree of the event, and it is determined whether or not the provision candidate content is appropriate as the content to be provided to the user U1.

Further, the determination unit 133 determines whether the emotion of the user when the content is provided to the user satisfies a predetermined condition based on the situation indicated by the situation information acquired by the acquisition unit 132 and the content of the content. It may be determined whether or not. For example, the determination unit 133 determines that the content including the content that does not match the situation indicated by the situation information among the provision candidate contents is inappropriate as the content to be provided to the user. For example, in the example of FIG. 1, when the facility A in which the user U1 is located is a facility that causes the emotion "sad", the determination unit 133 provides the content that causes the user U1 to have the emotion "anger". It is determined that the content to be provided to U1 is inappropriate. For example, when the judgment unit 133 provides the situation indicated by the situation information to a user in a normal state (for example, a state in which no emotional ups and downs occur), the emotion is "bright" or "bright". Content that causes "fun" is judged to be inappropriate as content to be provided to the user.

In addition, the determination unit 133 may determine whether or not the user's emotions when the provided content provided to the user and the content as a candidate for provision are provided satisfy a predetermined condition. For example, the determination unit 133 determines that the content that does not match the content of the provided content among the provision candidate contents is inappropriate as the content to be provided to the user. For example, when the determination unit 133 is displayed together with the provided content on the terminal device 10, is displayed in a part of the provided content, or is displayed in a transition from the provided content, the user's emotions It is determined that the provision candidate content that causes "anger" is inappropriate as the content to be provided to the user.

In addition, the determination unit 133 may determine whether or not the emotion of the user when the content is provided satisfies a predetermined condition according to the attribute of the user. For example, the determination unit 133 considers whether the provision candidate content is appropriate as the content to be provided to the user in consideration of the weight determined according to the demographic attribute and the psychographic attribute of the user, the preference of the user, and the like. Judge whether or not. For example, in the example of FIG. 1, when the provision candidate content includes information on the preference of the user U1, the determination unit 133 determines the preference of the user U1 with respect to the score indicating the degree of emotion specified from the provided content. Multiply the value according to the degree to determine whether or not the provision candidate content is appropriate as the content to be provided to the user U1.

In addition, the determination unit 133 may determine whether or not the user's emotions when the content is provided are negative. For example, in the example of FIG. 1, when the facility A where the user U1 is located is a facility that evokes a positive emotion, the determination unit 133 determines that the emotion of the user U1 is generated when the content is provided. It is determined that the negative content # 1 is inappropriate as the content to be provided to the user U1.

In addition, the determination unit 133 may determine whether or not the user's emotion when the content is provided is more negative than the user's emotion in the situation. For example, in the example of FIG. 1, when the negative emotion "sad (score: 50)" of the user U1 is specified in the situation indicated by the situation information, the determination unit 133 provides the provision candidate contents. Content # 1 in which the emotion of the user U1 is more negative is determined to be inappropriate as the content to be provided to the user U1.

(About the provider 134)
The providing unit 134 provides the user with the content in which the determination result by the determination unit 133 satisfies a predetermined condition among the contents. For example, in the example of FIG. 1, the providing unit 134 provides the terminal device 10 with the content determined to be appropriate by the determination unit 133 among the provision candidate contents.

In addition, when the determination unit 133 determines that the user's emotions when the content is provided are negative, the providing unit 134 does not provide the content to the user, but the user when the content is provided. If it is determined that the emotions of the user are not negative, the content may be provided to the user. For example, in the example of FIG. 1, when the facility A in which the user U1 is located is a facility that evokes a positive emotion "fun", the providing unit 134 among the provision candidate contents, the user U1 when providing the content. Does not provide content # 1 where the emotions of are negative. Then, the providing unit 134 provides the content # 2 in which the emotion of the user U1 becomes more positive when provided, and the content # 3 that does not change the emotion of the user U1 among the provision candidate contents.

Further, when the determination unit 133 determines that the user's emotion when providing the content is more negative than the user's emotion in the situation, the providing unit 134 does not provide the content to the user. If it is determined that the user's feelings when providing the content are not more negative than the user's feelings in the situation, the content may be provided to the user. For example, in the example of FIG. 1, when the facility A where the user U1 is located is a facility that induces a negative emotion "sad", the providing unit 134 among the provision candidate contents, the user U1 when providing the content. Does not provide content # 1 that makes the emotions more negative. Then, the providing unit 134 provides the content # 3 that does not change the emotion of the user U1 among the provided candidate contents.

[4. Judgment processing flow]
Here, the procedure of the determination process of the determination device 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a flowchart showing an example of the procedure of the determination process according to the embodiment.

As shown in FIG. 5, the determination device 100 acquires status information indicating the status of the user (step S101). Subsequently, the determination device 100 identifies the emotions of the user when the content that is a candidate for provision is provided in the situation indicated by the situation information (step S102). For example, in the example of FIG. 1, when the status information and the information regarding the provision candidate content are input, the determination device 100 provides the emotion of the user U1 in the situation indicated by the situation information and the provision candidate content in the situation. Using a model trained to output the emotions of the user U1 in the case, the emotions of the user U1 are specified.

Subsequently, the determination device 100 determines whether or not the emotion of the user when the content as a candidate for provision is provided to the user satisfies a predetermined condition (step S103). Here, when it is determined that the content that is a candidate for provision does not satisfy the predetermined condition (step S103; No), the determination device 100 ends the process without providing the content to the user.

On the other hand, when it is determined that the content as a provision candidate satisfies a predetermined condition (step S103; Yes), the determination device 100 provides the content to the user (step S104), and ends the process.

[5. Modification example]
The above-described embodiment shows an example, and various modifications and applications are possible.

[5-1. About offer candidate content]
In the above-described embodiment, an example is shown in which the provision candidate content is information belonging to a category such as current affairs or advertisement, but the provision candidate content is not limited to such information, for example, a mail application, a task management application, or the like. It may be information provided (notified) to the user by various applications. For example, when the situation information indicates the fatigue state of the user, the determination unit 133 includes information provided by various applications and the like that worsens the fatigue state of the user (for example, regarding the duties of the user). Information, etc.) is judged to be inappropriate as information to be provided to the user.

[5-2. Judgment of candidate content to be provided]
The determination of the provision candidate content by the determination unit 133 in the above-described embodiment is merely an example, and whether or not the provision candidate content is suitable for the user's condition such as the surrounding condition of the user and the emotion of the user. If it is determined whether or not the content guarantees TPO (Time Place Occasion), it may be determined whether or not to provide any content in an arbitrary state.

[5-3. About provision of candidate content]
In the above-described embodiment, an example is shown in which the providing unit 134 does not provide the content determined by the determining unit 133 as inappropriate as the content to be provided to the user among the provision candidate contents, but the function of the providing unit 134 is as described above. The configuration is not limited to. For example, the providing unit 134 may provide the content belonging to a predetermined category among the provision candidate contents regardless of the determination result of the determination unit 133. For example, the providing unit 134 provides the urgently submitted news, earthquake early warning, evacuation advisory, delay information, weather information, and the like regardless of the determination result of the determination unit 133 belonging to the current affairs category. It should be noted that what kind of provision candidate content can be provided regardless of the determination result of the determination unit 133 can be arbitrarily set, and may be set by the provider of the provision candidate content. ..

[6. effect〕
As described above, the determination device 100 according to the embodiment includes an estimation unit 131, an acquisition unit 132, a determination unit 133, and a providing unit 134. The estimation unit 131 estimates the current situation of the user based on the behavior information of the user. The acquisition unit 132 acquires status information indicating the status of the user. The determination unit 133 determines whether or not the emotion of the user when the content as a candidate for provision is provided to the user satisfies a predetermined condition based on the situation indicated by the situation information acquired by the acquisition unit 132. .. In addition, the determination unit 133 determines whether or not the emotion of the user when the content is provided satisfies the condition corresponding to the situation indicated by the situation information. The providing unit 134 provides the user with the content in which the determination result by the determination unit 133 satisfies a predetermined condition among the contents.

As a result, the determination device 100 according to the embodiment determines whether or not the content can be provided based on the user's situation, so that it is possible to grasp the compatibility with the user's emotion when the content is provided to the user. it can.

Further, in the determination device 100 according to the embodiment, for example, the acquisition unit 132 acquires the state around the user as status information. In addition, the acquisition unit 132 acquires facility information regarding the facility where the user is located as status information. In addition, the acquisition unit 132 acquires event information regarding an event that has occurred to the user as status information. In addition, the acquisition unit 132 acquires the situation information indicating the user's situation estimated based on the behavior information regarding the user's behavior. In addition, the acquisition unit 132 acquires status information indicating the user's situation estimated based on the behavior information including the purchase history of the user's product. In addition, the acquisition unit 132 acquires status information indicating the user's situation estimated based on the behavior information including the browsing history of the user's content. In addition, the acquisition unit 132 acquires status information indicating the user's situation estimated based on the behavior information including the user's search history. In addition, the acquisition unit 132 acquires status information indicating the user's situation estimated based on the user's current position.

As a result, the determination device 100 according to the embodiment acquires various types of information as status information and determines whether or not the content can be provided. Therefore, the determination device 100 grasps the compatibility with the user's emotion when the content is provided to the user. can do.

Further, in the determination device 100 according to the embodiment, for example, the determination unit 133 determines whether or not the emotion of the user when the content is provided satisfies the condition according to the degree of the event. Further, the determination unit 133 determines whether the emotion of the user when the content is provided to the user satisfies a predetermined condition based on the situation indicated by the situation information acquired by the acquisition unit 132 and the content of the content. Judge whether or not. In addition, the determination unit 133 determines whether or not the user's emotions when the provided content provided to the user and the content as a candidate for provision are provided satisfy a predetermined condition. In addition, the determination unit 133 determines whether or not the emotion of the user when the content is provided satisfies a predetermined condition according to the attribute of the user. In addition, the determination unit 133 determines whether or not the user's emotions when the content is provided are negative. In addition, the determination unit 133 determines whether or not the user's emotion when the content is provided is more negative than the user's emotion in the situation.

As a result, the determination device 100 according to the embodiment can determine whether or not the content can be provided based on the conditions according to the user and the situation, so that the compatibility with the user's emotion when the content is provided to the user can be grasped. can do.

Further, in the determination device 100 according to the embodiment, for example, the providing unit 134 provides the content to the user when the determination unit 133 determines that the user's emotions when the content is provided are negative. If it is determined that the user's emotions when providing the content are not negative, the content is provided to the user. Further, when the determination unit 133 determines that the user's emotion when providing the content is more negative than the user's emotion in the situation, the providing unit 134 does not provide the content to the user. If it is determined that the user's feelings when providing the content are not negative rather than the user's feelings in the situation, the content is provided to the user.

As a result, the determination device 100 according to the embodiment can provide content according to the user's situation, so that it is possible to provide appropriate content to the user.

[7. Hardware configuration]
Further, the determination device according to each of the above-described embodiments is realized by, for example, a computer 1000 having a configuration as shown in FIG. Hereinafter, the determination device 100 will be described as an example. FIG. 6 is a hardware configuration diagram showing an example of a computer that realizes the function of the determination device. The computer 1000 has a CPU 1100, a ROM 1200, a RAM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1200 or the HDD 1400, and controls each part. The ROM 1200 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via the communication network 500 (corresponding to the network N of the embodiment) and sends the data to the CPU 1100, and the data generated by the CPU 1100 via the communication network 500 is transmitted to another device. Send to the device.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the data generated via the input / output interface 1600 to the output device.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1300. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1300 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the determination device 100, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the RAM 1300. Further, each data in the storage device of the determination device 100 is stored in the HDD 1400. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be acquired from another device via a predetermined communication network.

[8. Others]
Although some of the embodiments of the present application have been described in detail with reference to the drawings, these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to practice the present invention in other improved forms.

Further, the configuration of the determination device 100 described above can be flexibly changed, such as by calling an external platform or the like by API (Application Programming Interface), network computing, or the like depending on the function.

In addition, the "part" described in the claims can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

10 Terminal device 100 Judgment device 110 Communication unit 120 Storage unit 121 Provision candidate content storage unit 130 Control unit 131 Estimating unit 132 Acquisition unit 133 Judgment unit 134 Providing unit

Claims (21)

An acquisition unit that acquires status information that indicates the user's status,
Based on the situation indicated by the situation information acquired by the acquisition unit, a determination unit that determines whether or not the user's emotions satisfy a predetermined condition when the content as a provision candidate is provided to the user. A determination device characterized by having. The determination device according to claim 1, further comprising a first provision unit that provides the user with content for which the determination result by the determination unit satisfies the predetermined condition. The determination unit
The determination device according to claim 1 or 2, wherein it is determined whether or not the emotion of the user when the content is provided satisfies the condition corresponding to the situation indicated by the situation information. The acquisition unit
The determination device according to any one of claims 1 to 3, wherein the state of the surroundings of the user is acquired as the situation information. The acquisition unit
The determination device according to any one of claims 1 to 4, wherein as the status information, facility information regarding the facility where the user is located is acquired. The acquisition unit
The determination device according to any one of claims 1 to 5, wherein as the situation information, event information regarding an event that has occurred to the user is acquired. The determination unit
The determination device according to claim 6, wherein it is determined whether or not the emotion of the user when the content is provided satisfies the condition according to the degree of the event. The acquisition unit
The determination device according to any one of claims 1 to 7, wherein the determination device indicating the situation of the user estimated based on the behavior information regarding the behavior of the user is acquired. The acquisition unit
The determination device according to claim 8, further comprising acquiring status information indicating the status of the user estimated based on the behavior information including the purchase history of the product of the user. The acquisition unit
The determination device according to claim 8 or 9, wherein the determination device indicating the situation of the user estimated based on the behavior information including the browsing history of the content of the user is acquired. The acquisition unit
The determination device according to any one of claims 8 to 10, wherein status information indicating the situation of the user estimated based on the behavior information including the search history of the user is acquired. .. The acquisition unit
The determination device according to any one of claims 1 to 11, wherein status information indicating the situation of the user estimated based on the current position of the user is acquired. The determination unit
Based on the situation indicated by the situation information acquired by the acquisition unit and the content of the content, whether or not the emotion of the user when the content is provided to the user satisfies the predetermined condition. The determination device according to any one of claims 1 to 12, wherein the determination is made. The determination unit
From claim 1, it is determined whether or not the provided content provided to the user and the emotion of the user when the provided content as a candidate for provision is provided satisfy the predetermined condition. The determination device according to any one of 13. The determination unit
Any one of claims 1 to 14, characterized in that it is determined whether or not the emotion of the user when the content is provided satisfies the predetermined condition according to the attribute of the user. Judgment device according to. The determination unit
The determination device according to any one of claims 1 to 15, wherein it determines whether or not the user's emotions when the content is provided are negative. When the determination unit determines that the user's emotions when the content is provided are negative, the user does not provide the content to the user, but the user who provides the content. The determination device according to claim 16, further comprising a second providing unit that provides the content to the user when it is determined that the emotion is not negative. The determination unit
One of claims 1 to 15, characterized in that it is determined whether or not the user's emotion when the content is provided is more negative than the user's emotion in the situation. Judgment device according to. When the determination unit determines that the emotion of the user when the content is provided is more negative than the emotion of the user in the situation, the content is not provided to the user and the content is not provided. If it is determined that the user's feelings when the content is provided are not more negative than the user's feelings in the situation, the third providing unit for providing the content to the user is further provided. 18. The determination device according to claim 18. It is a judgment method executed by the judgment device.
The acquisition process to acquire the status information indicating the user's status,
Based on the situation indicated by the situation information acquired by the acquisition step, a determination step of determining whether or not the emotion of the user satisfies a predetermined condition when the content as a candidate for provision is provided to the user. A determination method characterized by including. The acquisition procedure to acquire the status information indicating the user's status, and
Based on the situation indicated by the situation information acquired by the acquisition procedure, a determination procedure for determining whether or not the emotion of the user satisfies a predetermined condition when the content as a candidate for provision is provided to the user. Judgment program to make a computer execute.

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