JP7160757B2 - Determination device, determination method and determination program - Google Patents

Description

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

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

JP 2016-186741 A

However, with the conventional technology described above, it is not always possible to grasp the compatibility between the user's situation and the user's emotion when content is provided to the user.

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

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

A determination device according to the present application provides an acquisition unit that acquires situation information indicating a user's situation, and provides content that is a provision candidate to the user based on the situation indicated by the situation information acquired by the acquisition unit. and a determination unit that determines whether the user's emotion in the case satisfies a predetermined condition.

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

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

Embodiments for implementing the determination device, determination method, and determination program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. Note that the determination device, determination method, and determination program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. embodiment]
Determination processing realized by the determination device and the like of the present embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of determination processing according to the 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). Note that the determination system 1 shown in FIG. 1 may include multiple determination devices 100 and multiple terminal devices 10 .

A determination device 100 shown in FIG. 1 is a server device that provides (distributes) various contents to the terminal device 10 . Note that the content provided by the determination device 100 to the terminal device 10 is, 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. Also, the content provided by the determination device 100 to the terminal device 10 may be, for example, content related to various applications (hereinafter sometimes referred to as “apps”) installed in the terminal device 10 . Specifically, portal apps, news apps, auction sites, weather forecast apps, shopping apps, finance (stock prices) apps, route search apps, map providing apps, travel apps, restaurant introduction apps, SNS apps, blog browsing apps, etc. may be content related to Also, the content provided by the determination device 100 to the terminal device 10 may be content related to various advertisements submitted by an advertiser.

Further, in the example of FIG. 1, the determination device 100 manages information about 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 provision candidate content, in the provision candidate content storage unit 121 .

A 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 is a smart device such as a smart phone or a tablet used by the user.

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

The determination processing performed by the determination device 100 will be described below with reference to FIG. In addition, in the following description, an example in which the current location of the user U1 using the terminal device 10 is the facility A will be shown.

First, the determination device 100 acquires a content provision request and situation information indicating the situation of the user U1 from the terminal device 10 (step S11). For example, in the example of FIG. 1, the determination device 100 acquires facility information (e.g., facility category) regarding facility A specified based on user U1's location information as user U1's situation information.

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 situation information and information (for example, text information, image information, etc.) related to provision candidate content are input, the determination device 100 determines whether the user U1 in the situation indicated by the situation information (emotion of user U1 before provision of provision candidate content) and user U1's emotion when provision candidate content is provided in the situation, using a model that has been trained to output, Identify the emotion of the user U1.

In the example of FIG. 1, the determination device 100 identifies 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, if the emotion "fun" is identified as having a score of "0", it indicates that the user does not have the emotion "fun". Also, when the score of the feeling "fun" is specified as "100", it indicates that the user has the feeling "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 determines the provision content based on the user U1's emotion in the situation indicated by the acquired situation information and the user U1's emotion when the provision candidate content is provided in this situation. It is determined whether or not the candidate content is suitable as content to be provided to 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 the feeling of "enjoyment", and in step S12, in the situation indicated by the situation information User U1's positive emotion "fun (score: 30)" is identified, and user U1's emotion is "sad (score: 10)" when contents #1 to #3, which are candidate contents for provision, are provided. , "enjoyable (score: 60)", and "enjoyable (score: 30)". In this case, the determination device 100 selects content #2, which makes the user U1 feel more positive when provided, and content #3, which does not change the user U1's feeling, among the provision candidate content. It is determined that the content is appropriate to be provided to U1. On the other hand, the determination device 100 provides the user U1 with the content #1 (i.e., the content that does not suit the situation of the user U1), which, among the provision candidate contents, would make the user U1 feel negative when 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 home) that evokes the feeling of "sad", and in step S12, the user U1 is negative in the situation indicated by the situation information. The emotion "sad (score: 50)" is specified, and the emotions of the user U1 are "sad (score: 60)" and "anger (score: 60)" respectively when the contents #1 to #3, which are the candidate contents for provision, are provided. : 20)” and “sad (score: 50)”. 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 content. On the other hand, the determination device 100 selects the content #1, which makes the user U1 feel more negative when provided, and the user U1 who has the feeling of “sad” among the provision candidate content, and provokes the feeling of “anger” in the user U1. Content #2 (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 provision candidate content that satisfies 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 content.

Note that in the example of FIG. 1, the determination device 100 determines the relationship between the user's emotion, the user's series of situations that have a causal relationship with the emotion, and the 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 has learned the nature (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. For example, the determination device 100 can determine the user's status in chronological order, such as a series of situations of the user and a series of situations of the user after the content is provided (for example, a series of operations (clicking, scrolling, etc.) performed when viewing the content). and the relationship between the set of information about the content provided to the user and the presumed emotion the user had before, after, or after the situation. may be used. It should be noted that such a model is realized, for example, by learning, using MIL technology, the relationship between emotions estimated from the user's biological information and a series of user situations. When the user's situation indicated by the information and the information on the provision candidate content are input, it is presumed that there is some kind of causal relationship with a series of situations such as before the situation, the situation, or after the situation. It will output the emotion that In other words, such a model uses emotion, a set of information about a series of user situations and content as learning data, and performs learning using MIL technology to show the input user situation. Learning is performed so as to output information indicating emotions having a causal relationship (having some sort of relevance) with all or part of the situation information. In addition, when acquiring the user's biometric information, the determination device 100 uses a model that has learned the relationship between a set of information related to the biometric information and the content and the emotion to determine the acquired biometric information and the provision candidate content. You may estimate a user's emotion from the information about.

In addition, the determination device 100 determines whether the content is provided in the situation indicated by the situation information of the user U1, based on information on the user's opinion on the provided content (for example, the user's complaints, requests, impressions, etc. to the customer center, etc.). It may be determined whether or not the candidate content can be provided. For example, the determination device 100 can determine the content of the user's opinion on the provided content (for example, text information entered by the user in an email transmission form, telephone responses between the user and the operator who responded to the user, etc.). voice information, etc.) is acquired from the terminal device used by the user, an external server device, or the like. 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 to obtain situation information indicating the user's situation when the content was provided, and the relevant information. The emotion that the content evokes in the user is specified, and based on the specified 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 about the user's complaint about the provided content from the terminal device used by the user, and from the information, situation information indicating the user's situation "congestion" It is assumed that the emotion "embarrassed" that the content provided to the user evokes is specified. In this case, when the determination device 100 acquires the situation information of the user U1 indicating the situation “crowded”, the determination device 100 selects, among the provision candidate content, the content that provokes the emotion “embarrassed” as content to be provided to the user U1. Judge it as appropriate.

In addition, the determination device 100 determines the emotion that the content evokes in the user (hereinafter, may be referred to as “content emotion”) and the discomfort the user feels due to the content emotion (for example, anger, disgust, etc.). A combination with situation information indicating the user's situation whose degree is equal to or greater 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 user U1. may For example, the determination device 100 detects the user's biological information detected by a heart rate sensor provided in the terminal device used by the user, the user's moving speed acquired by the motion sensor, the operation history for the terminal device (content scroll speed, The degree of discomfort is calculated based on the number of times the selection operation has been performed.

Here, it is assumed that the determination device 100 specifies that the degree of discomfort "anger" felt by the user in the situation "funeral" is greater than or equal to a predetermined threshold value due to the content emotion "pleasant". In this case, when the determination device 100 acquires the situation information of the user U1 indicating the situation of "funeral", the determination device 100 selects the content that evokes the emotion "pleasant" among the provision candidate content as the content to be provided to the user U1. Judge 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 user's situation and the user's emotion when content is provided to the user.

[2. Configuration of Judgment System]
Next, the determination system 1 for realizing the information processing described above will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of a 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. FIG. The determination device 100 and the terminal device 10 are connected via a network N by wire or wirelessly so as to be able to communicate with each other. 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 local IP (Internet Protocol) network, or the Internet. The network N may include wired networks or wireless networks. Moreover, 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 . In addition, the determination device 100 manages information about provision candidate content in the provision candidate content storage unit 121 . Note that the determination device 100 may be a server that distributes 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). Note that the application itself relating to the content provided by the determination device 100 may be regarded as the control information. The configuration of the determination device 100 will be described later.

The terminal device 10 is an information processing device used by a user. The terminal device 10 displays content provided by the determination device 100 using a web browser or an application. Further, when the terminal device 10 receives from the determination device 100 the control information for implementing the display processing of the content provided by the determination device 100, the terminal device 10 implements the display processing according to the control information. In addition, the terminal device 10 transmits user information such as user behavior information, biometric information, position information, and environment information to the determination device 100 .

[3. Configuration of determination device]
Next, the configuration of the determination device 100 will be described using FIG. FIG. 3 is a diagram illustrating a configuration example of a determination device according to the embodiment; As shown in FIG. 3, the determination device 100 has a communication section 110, a storage section 120, and a control section .

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

(Regarding storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a 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 .

(Regarding provision candidate content storage unit 121)
The provision candidate content storage unit 121 manages information regarding provision candidate content. Here, an example of information stored in the provision candidate content storage unit 121 will be described with reference to FIG. FIG. 4 is a diagram illustrating 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".

"Content ID" indicates identification information for identifying the provision candidate content. “Category” indicates the category to which the provision candidate content belongs. "Text information" indicates text information of provision candidate content. Note that although the example shown in FIG. 4 shows an example in which conceptual information such as "text information #1" is stored in "text information", text information is actually stored. “Image information” indicates image information of provision candidate content. In the example shown in FIG. 4, conceptual information such as "image information #1" is stored in "image information". 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 the text information and "image information #1" as the image information. indicates

(Regarding the control unit 130)
The control unit 130 is a controller, and various programs stored in a storage device inside the determination device 100 are executed by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like, using the RAM as a work area. It is realized by being executed. Also, the control unit 130 is a controller, and is implemented by 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 performs information processing functions and actions described below. Realize or carry out.

(Regarding the estimation unit 131)
The estimation unit 131 estimates the user's current situation based on the user's behavior information transmitted from the terminal device 10 . For example, the estimation unit 131 estimates the current situation of the user based on the user's action 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 using a natural language processing technique such as morphological analysis as appropriate. Specifically, if the user continues to view diet-related content or purchase low-sugar foods, the estimation unit 131 estimates that the user is currently on a diet. Also, for example, if there is a search history related to a specific area, or a reservation for a means of transportation to visit that area is made, the estimation unit 131 estimates that the user's current situation is "before travel." .

Also, 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 at facility A based on the current location of user U1 detected by the GPS function of terminal device 10 or the like.

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

The estimation unit 131 may also estimate the degree of an event that has occurred with respect 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 an event “funeral” that occurred to the user is estimated based on the behavior information of the user, and “parent funeral” is included in the search history of the user, the estimation unit 131 adds “relative funeral” to the search history. It is estimated that the event "funeral" has a higher impact on the user than when "funeral" is included.

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

In addition, the acquisition unit 132 may acquire the surrounding conditions of the user as the situation information. For example, the acquisition unit 132 acquires the state of the user's surroundings based on the user's environment information and the like detected by the imaging unit and the sound collecting unit of the terminal device 10 as situation information. For example, the acquiring unit 132 acquires the state of the user's surroundings "crowded" when the volume 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 related to the facility where the user is located as the situation information. For example, in the example of FIG. 1, the acquisition unit 132 acquires facility information regarding facility A corresponding to the location information of the user. For example, the acquisition unit 132 acquires facility categories (for example, public transportation facilities, leisure facilities, medical facilities, ceremony halls, etc.), congestion status, and the like as facility information.

Further, the acquisition unit 132 may acquire event information regarding an event that has occurred with respect to the user as the situation information. For example, the acquisition unit 132 acquires event information ( For example, information indicating the event, the degree of the event, etc.). 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, if the facility where the user is located is a funeral home, the acquisition unit 132 acquires event information related to the event "funeral" that occurred for the user.

Note that the acquisition unit 132 may acquire, as the event information, information estimated by the estimation unit 131 from the behavior information of the user.

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

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

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

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

(Regarding the determination unit 133)
Based on the situation indicated by the situation information acquired by the acquisition unit 132, the determination unit 133 determines whether or not the user's emotion satisfies a predetermined condition when the user is provided with the content that is a candidate for provision. . For example, when the situation information acquired by the acquisition unit 132 and the information about the provision candidate content are input, the determination unit 133 determines the user's emotion (user U1 before provision of the provision candidate content) in the situation indicated by the situation information. ) and the emotion of the user when the provision candidate content is provided in the situation, using a model that has been trained to output the provision candidate content stored in the provision candidate content storage unit 121. It is determined whether or not the emotion of the user when the content is provided to the user satisfies a predetermined condition.

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

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

Note that if the situation indicated by the situation information indicates that the user's surroundings are "congested", the determination unit 133 determines whether the provision candidate content causes the user to feel "embarrassed" or "embarrassed". content (for example, content whose skin exposure in an image satisfies a predetermined condition) may be determined to be inappropriate as content to be provided to the user.

Further, the determination unit 133 may determine whether or not the user's emotion when the content is provided satisfies a 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 content to be provided to the user, taking into consideration the weight determined according to the degree of the event that occurred to the user. For example, in the example of FIG. 1, when an event such as a disaster, an accident, or a funeral that evokes a negative emotion in the user occurs, the determining unit 133 selects the relevant provision candidate content that evokes a negative emotion. A score indicating the degree of emotion is multiplied by a value corresponding to the degree of the event, and it is determined whether or not the provision candidate content is appropriate as content to be provided to user U1.

Based on the situation indicated by the situation information acquired by the acquisition unit 132 and the details of the content, the determination unit 133 determines whether the user's emotion satisfies a predetermined condition when the content is provided to the user. It may be determined whether For example, the determining unit 133 determines that, among the candidate content to be provided, content that includes content that does not match the situation indicated by the situation information is inappropriate as content to be provided to the user. For example, in the example of FIG. 1, if the facility A where the user U1 is located is a facility that evokes an emotion of 'sad', the determination unit 133 selects content that evokes an emotion of 'anger' in the user U1. It is determined that the content is inappropriate to be provided to U1. For example, when the situation indicated by the situation information is "funeral", the determination unit 133 determines whether the emotion "cheerful" or " A content that evokes "enjoyment" is determined to be inappropriate as content to be provided to the user.

Further, the determination unit 133 may determine whether or not the emotion of the user when providing the content to be provided to the user and the content to be a provision candidate satisfies a predetermined condition. For example, the determining unit 133 determines that, among the provision candidate content, content that does not match the provision content is inappropriate as content to be provided to the user. For example, in the terminal device 10, the determination unit 133 determines whether the emotional state of the user is displayed together with the provided content, when the provided content is displayed in a partial area of the provided content, or when the provided content is transitioned from the provided content and displayed. A provision candidate content that causes "anger" is determined to be inappropriate as a content to be provided to a user.

Further, the determination unit 133 may determine whether or not the user's emotion when the content is provided satisfies a predetermined condition, according to the user's attribute. For example, the determination unit 133 determines whether the provision candidate content is appropriate as content to be provided to the user, taking into consideration the weight determined according to the user's demographic attribute, psychographic attribute, user's preference, etc. Determine whether or not. For example, in the example of FIG. 1, when information about user U1's preference is included in the provision candidate content, the determination unit 133 determines whether the user U1's preference is associated with the score indicating the degree of emotion specified from the provision content. A value corresponding to the degree is multiplied, and it is determined whether or not the provision candidate content is suitable as content to be provided to user U1.

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

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

(Regarding the providing unit 134)
The providing unit 134 provides the user with content that satisfies a predetermined condition as determined by the determination unit 133 among the contents. For example, in the example of FIG. 1 , the providing unit 134 provides the terminal device 10 with content determined as appropriate by the determination unit 133 among the provision candidate content.

In addition, when the determination unit 133 determines that the user's emotion when the content is provided is negative, the provision unit 134 does not provide the content to the user, and does not provide the content to the user. If it is determined that the sentiment of the user is not negative, the content may be provided to the user. For example, in the example of FIG. 1, if the facility A where the user U1 is located is a facility that evokes a positive emotion of “enjoyable”, the providing unit 134 selects the user U1 Don't provide Content #1 that makes your audience feel negative. Then, the providing unit 134 provides content #2, which makes the user U1 feel more positive when provided, and content #3, which does not change the user U1's feeling, among the provision candidate content.

In addition, when the determination unit 133 determines that the user's emotion when the content is provided is more negative than the user's emotion in the situation, the provision unit 134 does not provide the content to the user, Content may be provided to the user if it is determined that the user's feeling when providing the content is less negative than the user's feeling in the situation. For example, in the example of FIG. 1, if facility A where user U1 is located is a facility that evokes a negative emotion of “sad”, the providing unit 134 selects user U1 Don't provide content #1 that makes people feel more negative. Then, the providing unit 134 provides the content #3 that does not change the emotion of the user U1 among the provision candidate content.

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

As shown in FIG. 5, the determination device 100 acquires situation information indicating the situation of the user (step S101). Subsequently, the determination device 100 identifies the emotion of the user when the content 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 situation information and the information about the provision candidate content are input, the determination device 100 determines whether the user U1's emotion in the situation indicated by the situation information and the provision candidate content is provided in the situation. The emotion of user U1 is identified using a model that has been trained to output the emotion of user U1 in each case.

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

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

[5. Modification]
The above-described embodiment is 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 candidate content to be provided is information belonging to categories such as current affairs and advertisements. However, the candidate content to be provided is not limited to such information. 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 selects information that exacerbates the fatigue state of the user among information provided by various applications (for example, information, etc.) is determined to be inappropriate as information to be provided to users.

[5-2. Judgment of provision candidate content]
The determination of the provision candidate content by the determination unit 133 in the above-described embodiment is merely an example. If it is determined whether or not the content guarantees TPO (Time Place Occasion), it may be determined whether or not any content is provided in any state.

[5-3. Provision of provision candidate content]
In the above-described embodiment, the provision unit 134 does not provide content that the determination unit 133 has determined to be inappropriate as content to be provided to the user, among the provision candidate content. configuration. For example, the provision unit 134 may provide content belonging to a predetermined category among provision candidate content regardless of the determination result of the determination unit 133 . For example, the provision unit 134 provides information regardless of the determination result of the determination unit 133 belonging to categories related to current affairs, such as urgently submitted news, earthquake early warnings, evacuation advisories, delay information, and weather information. It should be noted that it is possible to arbitrarily set what kind of provision candidate content can be provided regardless of the determination result of the determination unit 133, and it may be set by the provider of the provision candidate content. .

[6. effect〕
As described above, the determination device 100 according to the embodiment has the estimation unit 131, the acquisition unit 132, the determination unit 133, and the provision unit . The estimation unit 131 estimates the current situation of the user based on the behavior information of the user. The acquisition unit 132 acquires situation information indicating the user's situation. Based on the situation indicated by the situation information acquired by the acquisition unit 132, the determination unit 133 determines whether or not the user's emotion satisfies a predetermined condition when the user is provided with the content that is a candidate for provision. . Also, the determination unit 133 determines whether or not the user's emotion 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 content that satisfies a predetermined condition as determined by the determination unit 133 among the contents.

As a result, since the determination device 100 according to the embodiment determines whether content can be provided based on the user's situation, it is possible to grasp the compatibility with the user's emotions when the content is provided to the user. can.

In addition, in the determination device 100 according to the embodiment, for example, the acquisition unit 132 acquires the surrounding conditions of the user as the situation 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 situation information indicating the user's situation estimated based on the behavior information about the user's behavior. The acquisition unit 132 also acquires situation information indicating the user's situation estimated based on the behavior information including the user's product purchase history. The acquisition unit 132 also acquires situation information indicating the user's situation estimated based on the behavior information including the user's browsing history of content. The acquisition unit 132 also acquires situation information indicating the user's situation estimated based on the behavior information including the user's search history. The acquisition unit 132 also acquires situation 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 situation information and determines whether content can be provided. can do.

Further, in the determination device 100 according to the embodiment, for example, the determination unit 133 determines whether or not the user's emotion when the content is provided satisfies a condition according to the degree of the event. Based on the situation indicated by the situation information acquired by the acquisition unit 132 and the details of the content, the determination unit 133 determines whether the user's emotion satisfies a predetermined condition when the content is provided to the user. determine whether or not Further, the determination unit 133 determines whether or not the emotion of the user when providing the content to be provided to the user and the content to be provided as a candidate satisfies a predetermined condition. Also, the determination unit 133 determines whether or not the user's emotion when the content is provided satisfies a predetermined condition, according to the user's attribute. Also, the determination unit 133 determines whether or not the user's feeling when the content is provided is negative. Further, the determination unit 133 determines whether or not the user's emotion when the content is provided is negative, rather than the user's emotion in the situation.

As a result, the determination device 100 according to the embodiment can determine whether content can be provided based on the conditions according to the user and the situation. can do.

Further, in the determination device 100 according to the embodiment, for example, when the determination unit 133 determines that the user's emotion when providing the content is negative, the provision unit 134 provides the content to the user. If it is determined that the user's feelings will not be negative when the content is provided, the content is provided to the user. In addition, when the determination unit 133 determines that the user's emotion when the content is provided is more negative than the user's emotion in the situation, the provision unit 134 does not provide the content to the user, When it is determined that the user's feeling when providing the content is not negative than the user's feeling 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]
Also, the determination device according to each of the embodiments described above is implemented by, for example, a computer 1000 configured as shown in FIG. The determination device 100 will be described below as an example. FIG. 6 is a hardware configuration diagram showing an example of a computer that implements the functions of the determination device. Computer 1000 has CPU 1100 , ROM 1200 , RAM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

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

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from another device via communication network 500 (corresponding to network N in the embodiment) and sends it to CPU 1100, and also transmits data generated by CPU 1100 via communication network 500 to other devices. Send to device.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . Also, CPU 1100 outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1300 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1300 via 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 a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

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

[8. others〕
As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

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

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

10 terminal device 100 determination device 110 communication unit 120 storage unit 121 provision candidate content storage unit 130 control unit 131 estimation unit 132 acquisition unit 133 determination unit 134 provision unit

Claims (21)

an acquisition unit that acquires situation information indicating the user's situation;
Based on the situation indicated by the situation information acquired by the acquisition unit, the emotion of the user is specified when the user is provided with content that is a provision candidate in the situation, and the specified emotion satisfies a predetermined condition. A determination device, comprising: a determination unit that determines whether or not the conditions are satisfied. 2. The determination device according to claim 1, further comprising a first providing unit that provides the user with content that satisfies the predetermined condition as determined by the determination unit. The determination unit is
3. The determination device according to claim 1, wherein it is determined whether or not the user's emotion when the content is provided satisfies a condition corresponding to the situation indicated by the situation information. The acquisition unit
4. The determination device according to any one of claims 1 to 3, wherein the situation information includes the status of the user's surroundings. The acquisition unit
The determination device according to any one of claims 1 to 4, wherein facility information relating to a facility where the user is located is acquired as the situation information. The acquisition unit
6. The determination device according to any one of claims 1 to 5, wherein event information relating to an event that has occurred with respect to said user is acquired as said situation information. The determination unit is
7. 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 a condition corresponding to the degree of the event. The acquisition unit
8. The determination device according to any one of claims 1 to 7, wherein situation information indicating the situation of the user estimated based on action information about actions of the user is acquired. The acquisition unit
9. The determination device according to claim 8, wherein situation information indicating the situation of the user estimated based on the behavior information including the purchase history of products of the user is acquired. The acquisition unit
10. The determination device according to claim 8 or 9, wherein situation information indicating the situation of the user estimated based on the behavior information including the viewing history of content of the user is obtained. The acquisition unit
11. The determination device according to any one of claims 8 to 10, wherein situation 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 situation information indicating the situation of the user estimated based on the current position of the user is obtained. The determination unit is
Based on the situation indicated by the situation information acquired by the acquisition unit and the details of the content, determining whether or not the user's emotion satisfies the predetermined condition when the content is provided to the user. 13. The determination device according to any one of claims 1 to 12, characterized in that it determines. The determination unit is
It is determined whether or not the feeling of the user when providing the content to be provided to the user and the content that is a candidate for provision satisfies the predetermined condition. 14. The determination device according to any one of 13. The determination unit is
Any one of claims 1 to 14, wherein it is determined whether or not the feeling of the user when the content is provided satisfies the predetermined condition, according to the attribute of the user. The determination device according to . The determination unit is
16. The determination device according to any one of claims 1 to 15, wherein it is determined whether or not the user's feeling when the content is provided is negative. When it is determined by the determination unit that the user's feeling when the content is provided is negative, the content is not provided to the user, and the user's feeling when the content is provided 17. The determination device according to claim 16, further comprising a second providing unit that provides said content to said user when it is determined that her emotion is not negative. The determination unit is
Any one of claims 1 to 15, wherein it is determined whether or not the user's feeling when the content is provided is negative rather than the user's feeling in the situation. The determination device according to . When the determining unit determines that the user's emotion when the content is provided is more negative than the user's emotion in the situation, the content is not provided to the user, and the content is not provided to the user. further comprising a third providing unit that provides the content to the user when it is determined that the user's feeling when the content is provided is not more negative than the user's feeling in the situation. 19. The determination device according to claim 18, characterized by: A determination method executed by a determination device,
an acquisition step of acquiring status information indicating the user's status;
Based on the situation indicated by the situation information acquired in the acquisition step , specifying the emotion of the user when the user is provided with content that is a provision candidate in the situation, and the specified emotion satisfies a predetermined condition. and a determination step of determining whether or not the conditions are satisfied. an acquisition procedure for acquiring status information indicating a user's status;
Based on the situation indicated by the situation information acquired by the acquisition procedure, the emotion of the user is specified when the user is provided with content that is a provision candidate in the situation, and the specified emotion satisfies a predetermined condition. A judgment program for causing a computer to execute a judgment procedure for judging whether or not the conditions are satisfied.

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