Information processing device

Abstract

To provide information about the authenticity of information obtained through public lines by taking the state of a reader into consideration.SOLUTION: An information processing device (1) includes a communication unit (61,62,63) that connects to a network (612), and a control unit (11). The control unit performs control to receive information, and a degree of information fake concerning the authenticity of the information via the communication unit, calculate an index of individual fake concerning the authenticity judgment tendency of a user, calculate a degree of information correction fake obtained by correcting the degree of information fake based on the index of individual fake, and output a warning based on the degree of information correction fake calculated for the information when the information is transmitted from the communication unit.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an information processing device, and more particularly to a technique for providing a user with the credibility of information. [Background technology]

[0002] In recent years, portable information terminals (information display devices) such as smartphones have become common. Smartphones can connect to the Internet via telephone lines or LANs (Local Area Networks) and obtain various information from external servers. In addition, smartphones, which are personal information terminals, can obtain information about the individual user who operates the smartphone through application software and various sensors.

[0003] As a system for identifying the credibility of news obtainable via the Internet, Patent Document 1 discloses a system in which "Received news content is evaluated and associated media sources, associated journalists, and at least one associated predefined topic may be identified. Current scores for each of the associated media sources, associated journalists, and at least one associated predefined topic may be identified based on stored information. A credibility score may be assigned based on the identified current scores for the associated media sources, associated journalists, and at least one associated predefined topic. An indication associated with the received news content may be modified based on the generated credibility score. (Abstract excerpt)" [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Special table 2020-508518 publication Summary of the Invention [Problem to be solved by the invention]

[0005] Information obtained via the internet is not limited to news content, but also includes content posted by individuals via social media. The credibility of information obtained via the internet, including such information, may be uncertain, so there is a risk that readers who come across the information obtained may be deceived. Furthermore, there is a risk that well-intentioned recipients may spread information with low credibility via social media.

[0006] On the other hand, just as there are readers who are deceived when exposed to the same information and readers who are not, whether a reader is deceived by certain content depends not only on the credibility of the content itself but also on the extent to which the reader is able to pay attention to the credibility of the content.

[0007] In Patent Document 1, the credibility of the news content itself can be identified, but no consideration is given to the degree of risk that individual readers who come into contact with the news content will believe the news content. Furthermore, while Patent Document 1 can identify the credibility of news content that can identify the source media or journalist, there remains the problem that it cannot identify the credibility of information transmitted by ordinary individuals or anonymously, such as content transmitted via SNS.

[0008] Therefore, the present invention aims to provide information regarding the credibility of information obtained via public lines such as the Internet or broadcasting networks, not limited to news content, taking into account the reader's condition (this obtained information is displayed on the display screen of an information display device, and is hereinafter referred to as "display information"). [Means for solving the problem]

[0009] In order to solve the above problems, the present invention has the configuration described in the claims. As an example, the present invention is an information processing device, comprising a communication unit connected to a network and a control unit, the control unit receives information and an information fake degree regarding the credibility of the information via the communication unit, calculates an individual fake degree regarding a user's credibility judgment tendency, calculates an information corrected fake degree by correcting the information fake degree based on the individual fake degree, and controls to output a warning based on the information corrected fake degree calculated for the information when the information is transmitted from the communication unit. Effect of the Invention

[0010] According to the present invention, it is possible to provide information on the credibility of not only news content but also information obtained via public lines such as the Internet and broadcasting networks, taking into account the status of the reader. Note that the objects, configurations, and effects of the present invention other than those described above will be made clear in the following embodiments. [Brief description of the drawings]

[0011] [Figure 1] 1 is a schematic diagram for explaining an overview of an information display device according to an embodiment of the present invention; [Diagram 2] FIG. 2 is a hardware configuration diagram showing an example of the internal configuration of a smartphone. [Diagram 3] FIG. 2 is a functional block diagram showing an example of a functional block configuration according to the first embodiment. [Figure 4] 6 is a flowchart showing the processing procedure of a fake degree display process in the first embodiment. [Diagram 5] FIG. 4 is a diagram showing a display example of display information in the first embodiment. [Figure 6] FIG. 11 is a diagram showing a display example by a display process during calculation of a user's individual fake degree in the first embodiment. [Figure 7] 11 is a flowchart showing the processing procedure of an information fake degree calculation process in the first embodiment. [Figure 8] 5 is a flowchart showing the processing procedure of personality information acquisition processing in the first embodiment. [Figure 9] 13 is a user individual fake degree coefficient table in the first embodiment. [Figure 10] FIG. 11 is a diagram showing a display example based on the user individual fake degree display process in the first embodiment. [Figure 11] FIG. 11 is a schematic diagram for explaining an overview of a second embodiment. [Figure 12] FIG. 11 is a functional block diagram showing an example of a functional block configuration according to a second embodiment. [Figure 13] 10 is a flowchart showing the processing procedure of a fake degree display process in the second embodiment. [Figure 14] 10 is a flowchart showing the processing procedure of a physical information acquisition process in a second embodiment. [Figure 15] 13 is a user individual fake degree coefficient table in the second embodiment. [Figure 16] FIG. 13 is a functional block diagram showing an example of a functional block configuration according to a third embodiment. [Figure 17] 13 is a flowchart showing the processing procedure of a fake degree display process in the third embodiment. [Figure 18] 13 is a user individual fake degree coefficient table in the third embodiment. [Figure 19] FIG. 13 is a schematic diagram for explaining an overview of a fourth embodiment. [Figure 20] FIG. 13 is a functional block diagram showing an example of a functional block configuration according to a fourth embodiment. [Figure 21] 13 is a flowchart showing the procedure of a fake degree display process in the fourth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an example of an embodiment of the present invention will be described with reference to the drawings. The same reference numerals are used throughout the drawings to designate the same parts, and duplicated explanations will be omitted.

[0013] First Embodiment FIG. 1 is a schematic diagram for explaining an overview of an information display device according to this embodiment.

[0014] 1 shows a state in which a user 10 operating a smartphone 1 as an information display device acquires display information from a WEB (meaning World Wide Web) page 613 and display information from a SNS (Social Networking Service) 614 via the Internet 612, and displays the information on a display screen 711 of the smartphone 1. In this embodiment, the smartphone 1 is taken as an example of the information display device, but any device having a function of receiving and displaying display information from the Internet 612 or the SNS 613 may be used as a mobile information terminal such as a tablet, or an information processing device such as a PC.

[0015] There are several methods by which the smartphone 1 can connect to the Internet 612, such as via a mobile phone base station 621, which is a mobile phone network, or via a wireless LAN router (Wi-Fi (registered trademark) router) 611. In either case, the background of this embodiment is the same in that the smartphone 1 connects to the Internet 612.

[0016] An external server 615 that transmits fake-related information is connected to the Internet 612. The smartphone 1 is configured to be able to acquire fake-related information required to implement this embodiment from the external server 615. This external server 615 may be connected to a management site for transmitting fake information, or may be an independent server that transmits fake-related information.

[0017] Display information (such as display information from a web page 613 or from an SNS 614) that a user 10 operating a smartphone 1 acquires via the Internet 612 may include display information of questionable authenticity. (In FIG. 1, this is indicated as "Fake Information?")

[0018] In this embodiment, the degree of authenticity is called the "fake degree." The fake degree means the opposite of the degree of authenticity (0% to 100%), and a degree of authenticity of 100% corresponds to a fake degree of 0%, and a degree of authenticity of 0% corresponds to a fake degree of 100%. In other words, the fake degree (%) is a value obtained by subtracting the degree of authenticity (%) from 100%.

[0019] In this embodiment, the smartphone 1 obtains fake related information from an external server 615 that transmits fake related information, and calculates the fake degree by internal processing of the smartphone 1. Of course, if the display information itself is accompanied by fake related information related to the display information, it is used as is.

[0020] When a user 10 comes into contact with display information obtained from the Internet 612 or SNS 613, even if the display information is the same, the user 10 is likely to be deceived depending on the individual personality and knowledge of the user 10. In other words, since the perception of the fakeness of the display information differs depending on the user, even if the user comes into contact with the same display information, there are users who are deceived by it and users who are not deceived.

[0021] Therefore, in this embodiment, a user-specific fake degree coefficient indicating the degree to which the user 10 who operates the smartphone 1 can judge the authenticity of the displayed information is calculated based on an index indicating the user's tendency to judge authenticity, and the fake degree specific to the displayed information (information fake degree) is corrected using this to optimize the fake degree taking into account the user's personality information (gullibility). The optimized fake degree corresponds to the user-specific fake degree in this specification, and is the fake degree that is displayed.

[0022] The information fake degree is calculated using characteristics related to the credibility derived from the display information. Specific examples of "characteristics related to the credibility derived from the display information" may include at least one of the following, or any combination: the type of site on which the display information is published, the author of the display information, information indicating the publisher of the display information, evaluation information given by the publisher of the display information after evaluating the credibility of the display information, the time when the display information was spread via a public line network, the speed at which the display information was spread via a public line network, and text expressions included in the display information. The information fake degree may be calculated by the smartphone 1 based on characteristics related to the credibility derived from the display information, or may be acquired by the smartphone 1 from an already calculated information fake degree (reception is one aspect of acquisition). In the case of acquisition, the information fake degree calculation process may be omitted in the description below, and the information fake degree of the display information may be acquired simultaneously with or at a different timing when the display information is received.

[0023] The "index representing the judgment tendency of credibility originating from the user" used in calculating the user individual fakeness coefficient is a value that changes according to the user's gullibility. If the user has a cautious personality, it is considered that the user is more likely to be deceived than if the user is not cautious. In addition, even if the user is the same, it is considered that the user is more likely to be deceived when, for example, excited or anxious, or when facing an emergency and upset. Therefore, the user's gullibility may be diagnosed in advance, and the diagnosis result may be used as the index. In addition, when excited or anxious, changes in physical condition such as increased blood pressure, increased heart rate, increased respiratory rate, and increased body temperature are likely to appear, so physical information may be used as the index. Note that an embodiment in which this physical information is used as an index will be described in more detail in the <Second embodiment> described later.

[0024] 1, the determined fake degree is displayed as a bar graph in a fake degree area 713 on a display screen 711. The display format of the fake degree will be described later.

[0025] FIG. 2 is a hardware configuration diagram showing an example of the internal configuration of the smartphone 1. As shown in FIG.

[0026] The smartphone 1 includes a main processor 2, a storage 4, a GPS receiver 51, a geomagnetic sensor group 52, an acceleration sensor group 53, a gyro sensor group 54, a LAN communicator 61, a telephone network communicator 62, a short-range wireless communication device 63, a broadcast receiver 64, a display 71, an in-camera 72, an out-camera 73, a microphone 81, a speaker 82, a touch sensor 91, and operation keys 92, and each of the components is communicatively connected to each other via a system bus 3.

[0027] The main processor 2 is a microprocessor unit that controls the entire smartphone 1 in accordance with a predetermined operating program.

[0028] The system bus 3 is a data communication path for transmitting and receiving various commands, data, and the like between the main processor 2 and each component block within the smartphone 1.

[0029] The storage 4 includes a ROM 41 that stores programs for controlling the operation of the smartphone 1, a non-volatile memory 42 that stores various data such as operation setting values, detection values ​​from each sensor, objects including content, and library information downloaded from a library, and a rewritable RAM 43 such as a work area used for various program operations.

[0030] The storage 4 can store operation programs downloaded from the network and various data created by the operation programs. The storage 4 can store content such as video, still images, and audio downloaded from the network. The storage 4 can store data such as video and still images captured using the image capturing function of the in-camera 72 and the out-camera 73. The storage 4 needs to hold the stored information even when the smartphone 1 is not supplied with power from the outside. Therefore, devices such as semiconductor element memories such as flash ROM and SSD (Solid State Drive), and magnetic disk drives such as HDD (Hard Disc Drive) are used. The operation programs stored in the storage 4 can be updated and expanded by downloading them from the external server 615.

[0031] The smartphone 1 includes a GPS (Global Positioning System) receiver 51, a geomagnetic sensor group 52, an acceleration sensor group 53, and a gyro sensor group 54. These sensors make it possible to detect the position, inclination, direction, movement, and the like of the smartphone 1. The smartphone 1 may further include other sensors, such as an illuminance sensor, an altitude sensor, and a proximity sensor.

[0032] The LAN communication device 61 is connected to the Internet 612 via an access point or the like, and transmits and receives data to and from an external server 615 on the Internet 612. The connection to the access point or the like may be made by a wireless communication connection such as Wi-Fi (registered trademark). (In this embodiment, a wireless LAN router 611 is assumed.)

[0033] The telephone network communication device 62 performs telephone communication (calls) and data transmission and reception through wireless communication with a mobile phone base station 621 of a mobile telephone communication network, etc. The communication with the mobile phone base station 621, etc. may be performed by a W-CDMA (Wideband Code Division Multiple Access) (registered trademark) system, a GSM (Global System for Mobile communications) system, a LTE (Long Term Evolution) system, or other communication system.

[0034] The short-range wireless communication device 63 exchanges information with an external Bluetooth (registered trademark) device or an external NFC-compatible device by means of Bluetooth (registered trademark) communication, NFC standard communication, or the like.

[0035] The broadcast receiver 64 receives broadcast signals such as TV broadcasts and radio broadcasts.

[0036] The LAN communication device 61, the telephone network communication device 62, the short-range wireless communication device 63, and the broadcast receiver 64 each include an encoding circuit, a decoding circuit, an antenna, etc. In addition to the above-mentioned communication devices, other communication devices such as an infrared communication device may also be included.

[0037] The display 71 is a display device such as a backlit LCD display or a self-luminous organic EL display, and displays display information such as image data, video data, news content, and text information obtained via the Internet 612, or image information and video information captured by the in-camera 72 and out-camera 73, and provides this to the user 10.

[0038] The front camera 72 is provided on the same surface as the display 71 of the smartphone 1. The front camera 72 is used to capture a facial image of the user 10 in order to identify the user 10.

[0039] The rear camera 73 is provided on the back side of the smartphone 1. The rear camera 73 is used to capture images of scenery and the like.

[0040] Each of the in-camera 72 and the out-camera 73 is a camera that inputs image information of the surroundings and objects by converting light input from a lens into an electrical signal using an electronic device such as a CCD (Charge Coupled Device) or a CMOS (Complementary Metal Oxide Semiconductor) sensor.

[0041] The microphone 81 converts sounds in the real space, the user's voice, and the like into audio information and inputs it.

[0042] The speaker 82 outputs audio information required by the user, etc. Of course, earphones and headphones can also be connected, and it goes without saying that they can be used according to the purpose.

[0043] The touch sensor 91 is disposed on the display screen 711 of the display 71 .

[0044] The operation keys 92 are configured by arranging button switches and the like.

[0045] The touch sensor 91 and the operation keys 92 are an example of an operation input device for inputting operation instructions to the smartphone 1, and may be other operation input devices. In addition, the smartphone 1 may be operated using a separate mobile terminal device connected by wired communication or wireless communication using the LAN communication device 61 or the short-range wireless communication device 63.

[0046] Also, the image captured by the inner camera 72 may be analyzed, and the smartphone 1 may be operated by gestures or other actions.

[0047] 2 includes many components that are not essential to this embodiment, but the effects of this embodiment are not impaired even if these components are not included. Also, components not shown, such as an electronic money payment function, may be added.

[0048] (Functional blocks of this embodiment) FIG. 3 is a functional block diagram showing an example of a functional block configuration in the first embodiment.

[0049] The control unit 11 has a function of controlling the entire smartphone 1, and is mainly configured by the main processor 2 reading out a program stored in the ROM 41 of the storage 4 and loading it into the RAM 43.

[0050] The communication processing unit 12 is a function for performing communication processing for connecting to the Internet 612 via a LAN communication device 61 and a telephone network communication device 62 .

[0051] The display information acquisition unit 13 is a function that acquires display information from a web page 613 and display information from an SNS 614 via the Internet 612 by the communication processing unit 12 .

[0052] The display information saving unit 14 has a function of saving the display information obtained by the display information acquiring unit 13 in the non-volatile memory 42 of the storage 4 .

[0053] The fake-related information acquisition unit 15 is a function that acquires fake-related information from an external server 615 that transmits fake-related information, via the communication processing unit 12. The external server 615 verifies (fact-checks) the information displayed on the web page 613 or on SNS, and transmits fake-related information including the verification results. For example, a media partner of the Fact Check Initiative (FIJ) can be used as the external server 615.

[0054] The information fake degree calculation unit 16 is a function that infers the fake-related information acquired by the fake-related information acquisition unit 15 through AI (artificial intelligence) processing, and calculates the fake degree of the inferred display information. The AI ​​processing performs processing such as learning the regularity and rules of data and deriving inferences. The fake degree is calculated by AI processing from fake-related information, past display information, and the accuracy of its credibility.

[0055] Furthermore, the information fake degree calculation unit 16 uses past fake information and infers the fake degree through AI processing when fake information cannot be acquired by the fake-related information acquisition unit 15. The information fake degree calculation unit 16 may calculate the fake degree through conventional rule-based calculation processing without using AI processing.

[0056] The information fake degree data storage unit 17 has a function of storing the fake degree for the display information obtained by the information fake degree calculation unit 16 (since this is the fake degree for the display information, it will be referred to as the "information fake degree" below) in the non-volatile memory 42 or RAM 43 of the storage 4 together with the corresponding display information.

[0057] The personality information acquisition unit 18 is a function that acquires information about the personality (gullibility) of the user 10 who operates the smartphone 1. The personality information acquisition unit 18 presents various questions to the user 10 who operates the smartphone 1, and performs a personality judgment, including the gullibility of the user 10, based on the answers to the questions. The personality information acquisition unit 18 converts the result of the personality judgment into, for example, a score indicating gullibility, to generate personality information.

[0058] The personality information storage unit 19 has a function of storing information (gullibility) about the personality of the user 10 acquired by the personality information acquisition unit 18 in association with information (user identification information) that uniquely identifies the user 10 in the non-volatile memory 42 of the storage 4. The user identification information may be physical feature information such as a face image of the user 10 captured by the in-camera 72, iris information, fingerprint information read from a fingerprint sensor (not shown), or voiceprint information of the user 10 collected from the microphone 81, or may simply be the name of the user 10.

[0059] The user individual fake degree coefficient calculation unit 20 is a process for determining the personality information stored by the personality information storage unit 19, and calculating a coefficient (weighting) for the information fake degree obtained by the information fake degree calculation unit 16. The fake degree to be displayed is determined by this user individual fake degree coefficient calculation unit 20. The coefficient (weighting) for the information fake degree will be described later.

[0060] The display data output unit 21 is a function that displays the display information stored in the non-volatile memory 42 of the storage 4 by the display information storage unit 14, the fake degree taking into account the user's personality information (hereinafter referred to as the "user individual fake degree" since it is information individual to the user), and the like on the display screen 711 of the smartphone 1. The final user individual fake degree displayed on the display screen 711 of the smartphone 1 will be described later.

[0061] (Processing procedure for displaying fakeness) 4 is a flowchart showing the procedure of the fake degree display process (corresponding to an information display method) in this embodiment. The procedure of FIG. 4 will be described with reference to the functional block diagram of FIG.

[0062] When the main processor 2 starts the process of displaying the fake degree (S411), the display information acquisition unit 13 acquires display information to be displayed on the smartphone 1 (S412).

[0063] Next, the main processor 2 causes the display information storage unit 14 to store the display information acquired in the display information acquisition process (S412) in the non-volatile memory 42 of the storage 4 (S413).

[0064] Next, the main processor 2 outputs (S414) the display information saved in the display information saving process (S413) to the display screen 711 of the smartphone 1 via the display data output unit 21, and displays it. The display information displayed by this display information screen output process (S414) is the same as the display information displayed on a typical smartphone 1.

[0065] FIG. 5 shows an example of the display information displayed by the display information screen output process (S414).

[0066] 5, display information of a web page acquired via the Internet 612 is displayed in a display information area 712 on a display screen 711 of the smartphone 1. Note that the display information displayed in the display information area 712 of FIG. 5 is usually the same display information acquired by the user 10 who operates the smartphone 1.

[0067] Here, the description will be continued by returning to the process of displaying the fakeness degree in FIG.

[0068] Following the display information screen output process (S414), the main processor 2 performs a process for clearly indicating that the information fake degree regarding the display information is being calculated (user individual fake degree calculation in progress display process) (S415).

[0069] FIG. 6 shows a display example by the user individual fake degree calculation display process (S415).

[0070] In FIG. 6, a text message (character string "Fake degree calculation in progress") indicating that the fake degree is being calculated is displayed in a fake degree area 713 on a display screen 711.

[0071] The user 10 operating the smartphone 1 can know that the information fake degree regarding the displayed information is being calculated from the text displayed in the fake degree area 713. Note that in this embodiment, there is an information fake degree that is a fake degree specific to the content, and a user individual fake degree that is a fake degree according to each user at the time of contacting the information, but as shown in Fig. 6, in the screen display example, they may not be distinguished and may simply be described as "fake degree".

[0072] Here, the description will be continued by returning to the process of displaying the fakeness degree in FIG.

[0073] Following the user individual fake degree calculation in progress display process (S415), the main processor 2 performs an information fake degree calculation process (S430) which is a predefined process (subroutine).

[0074] The information fake degree calculation process (S430), which is a subroutine, is a process for calculating the information fake degree regarding the display information, and the information fake degree regarding the display information is obtained.

[0075] Here, the information fake degree calculation process (S430) which is a subroutine will be described. Fig. 7 is a flowchart showing the processing procedure of the information fake degree calculation process (S430) which is a subroutine. The processing procedure of Fig. 7 will be described with reference to the functional block diagram of Fig. 3.

[0076] When the main processor 2 starts (S431) the information fake degree calculation process (S430), it reads out the display information stored by the display information storage unit 14 and loads it into the RAM 43 (S432). Of course, the display information to be displayed can also be acquired again by the display information acquisition unit 13.

[0077] Next, the main processor 2 requests fake related information from the external server 615 that transmits the fake related information via the communication processing unit 12 (S433).

[0078] Next, the main processor 2 determines whether or not fake related information has been received from the external server 615 that transmits fake related information (S434).

[0079] When the main processor 2 determines that the fake related information has not been received (S434 / No) in the fake related information reception determination process (S434), it determines whether a predetermined time has elapsed (S435). The "predetermined time" here is a time set for waiting for the reception of fake related information.

[0080] If the main processor 2 determines in the process of determining whether the predetermined time has elapsed (S435) that the predetermined time has not elapsed (S435 / No), the process returns to the process of determining whether or not the information is fake (S434). This process of determining whether or not the predetermined time has elapsed (S435) can prevent the process of calculating the degree of information fake (S430) from falling into a deadlock.

[0081] On the other hand, if the main processor 2 determines in the predetermined time lapse determination process (S435) that the predetermined time or more has elapsed (S435 / Yes), the process proceeds to the information fake degree calculation process (S436).

[0082] If the main processor 2 determines in the fake related information reception judgment process (S434) that fake related information has been received (S434 / Yes), or if a predetermined time has elapsed in S435 (S435 / Yes), it proceeds to the information fake degree calculation process (S436).

[0083] In the information fake degree calculation process of S436, the main processor 2 calculates the information fake degree by AI processing or conventional rule-based calculation processing (S436).

[0084] In the information fake degree calculation process (S436), the main processor 2 makes a comprehensive judgment of the fake related information from the external server 615 acquired by the fake related information acquisition unit 15, past display information, and additional information related to the display information (past fake degree, etc.), and infers and calculates the information fake degree.

[0085] In addition, the displayed information itself may be accompanied by information about the degree of fakery. For example, the SNS (tweets) of Twitter, Inc. (USA) labels the content of tweets to inform users that the tweets contain misleading information or information whose veracity is questionable. In the information fakery degree calculation process (S436), it is inferred that SNS (tweets) that have been labeled in this way have a high degree of information fakery.

[0086] If it is determined in the predetermined time lapse determination process (S435) that the predetermined time has elapsed and the process proceeds to S436 (information fake degree calculation process), the main processor 2 uses past fake information to infer and calculate the information fake degree. If there is no past fake information, the main processor 2 may set a predetermined fake degree. The predetermined fake degree set here is not specified, but since fake-related information has not been obtained, it may be set to a medium fake degree (fake degree 50%).

[0087] Next, the main processor 2 stores the information fake degree obtained by the information fake degree calculation process (S436) or the information fake degree set by the information fake degree setting process (S436) in the non-volatile memory 42 of the storage 4 via the information fake degree data storage unit 17 (S437).

[0088] This ends the processing procedure of the information fake degree calculation process (S430) (S438).

[0089] Here, the description will be continued by returning to the process of displaying the fakeness degree in FIG.

[0090] After the information fake degree calculation process (S430), the process proceeds to a personality information acquisition process (S450) which is a predefined process (subroutine). The personality information acquisition process (S450) is a process for acquiring personal information such as personality of the user 10 who operates the smartphone 1. Here, the personality information acquisition process (S450) which is a subroutine will be described.

[0091] Fig. 8 is a flowchart showing the procedure of the personality information acquisition process (S450). The procedure of Fig. 8 will be described with reference to the functional block diagram of Fig. 3. The personality information in Fig. 8 is targeted at the user's personality related to gullibility.

[0092] When the main processor 2 starts (S451) the personality information acquisition process (S450), the main processor 2 determines whether or not the user's personality information is stored by the personality information storage unit 19 (S452).

[0093] If the main processor 2 determines in the personality information storage determination process (S452) that the user's personality information has already been stored (S452 / Yes), the user's personality information has been obtained, and so the personality information acquisition process (S450) is terminated (S455). Of course, it goes without saying that the personality information can be acquired again.

[0094] When the main processor 2 determines that the user's personality information has not been saved (S452 / No), the process proceeds to the next personality information investigation process (S453).

[0095] The personality information investigation process (S453) is a process in which the main processor 2 investigates the user's personality (gullibility) through the personality information acquisition unit 18. Here, the user's personality with respect to gullibility is investigated through various questions and answers to those questions.

[0096] There are various methods for investigating gullibility, and many websites are available for personality assessment, so these may be used. For example, the Consumer Affairs Agency asks respondents to answer 15 questions, such as "Are you easily flattered?" on a five-point scale from "hardly applicable" (1 point) to "very applicable" (5 points), and calculates the probability of signing a contract when offered on a five-point scale (about 25%, about 30%, about 40%, about 50%, about 70%) based on the total score. In this embodiment, for simplicity, the survey results of gullibility are classified into three patterns (hardly gullible, normal, easily gullible).

[0097] Next, the main processor 2 stores the user's personality information obtained in the personality information investigation process (S453) in the non-volatile memory 42 of the storage 4 via the personality information storage unit 19 (S454), and terminates the personality information acquisition process (S450) (S455).

[0098] Here, the description will be continued by returning to the process of displaying the fakeness degree in FIG.

[0099] Following the personality information acquisition process (S450), a user individual fake degree coefficient calculation process (S416) is performed.

[0100] The user individual fake degree coefficient calculation process (S416) is a process for calculating a user individual fake degree coefficient (fake degree personality coefficient) based on the user's personality information (three classifications of gullibility) stored by the personality information storage process (S454).

[0101] Here, a user individual fake degree coefficient (fake degree personality coefficient) based on the personality information of the user will be described.

[0102] FIG. 9 is a table (800) showing user individual fakeness coefficients (fakeness personality coefficients) for gullibility (three categories).

[0103] The items (column 801) are composed of personality classification (row 802) and fake personality coefficient (row 803).

[0104] The personality classification (row 802) shows three categories of gullibility (not easily gullible (column 831), normal (column 832), easily gullible (column 833)). The fakeness personality coefficient (row 802) shows the user's individual fakeness coefficient (fakeness personality coefficient) for the three categories of personality classification (row 802). For example, if the user's personality classification is normal for gullibility, this means that the user's individual fakeness coefficient (fakeness personality coefficient) is 1.0.

[0105] Here, the description will be continued by returning to the process of displaying the fakeness degree in FIG.

[0106] After the user individual fake degree coefficient calculation process (S416), the main processor 2 performs a user individual fake degree calculation process (S417).

[0107] The user's individual fake level is the final fake level displayed in the fake level area 713 of the smartphone 1, and is a fake level that reflects the user's personality information (gullibility).

[0108] The user individual fake degree is calculated by multiplying the information fake degree and the fake degree personality coefficient, as shown in the following formula (1). y n =x A *w 1n (1) however, y n : User n's individual fake degree for information A x A : Information A's degree of information fakery w 1n : User n's fake personality coefficient (user individual fake personality coefficient)

[0109] For example, if the information fake degree is 50% and the personality classification (gullibility) is normal, the user's individual fake degree is the product of the information fake degree (50%) and the fake degree personality coefficient (1.0), which is 50% (50% x 1.0). Also, if the information fake degree is 50% and the personality classification (gullibility) is gullible, the user's individual fake degree is the product of the information fake degree (50%) and the fake degree personality coefficient (1.5), which is 75% (50% x 1.5).

[0110] In this embodiment, when the user individual fake degree, which is the product of the information fake degree and the fake degree personality coefficient, exceeds 100%, it is set to the maximum value of 100%. Note that a fake degree of 100% does not mean that it is objectively completely fake (= the credibility is 0), but rather that the fake degree is determined to be the maximum value in the sense of alerting individual users.

[0111] Next, the user's individual fake degree calculated in the user's individual fake degree calculation process (S417) is displayed in the fake degree area 713 of the smartphone 1 (S418), and the process procedure of the fake degree display process in FIG. 4 is ended (S419).

[0112] FIG. 10 shows a display example based on the process of S418 (user individual fake degree display process).

[0113] In Fig. 10, a user individual fake degree 714 is displayed as a bar graph in a fake degree area 713 of a display screen 711. The display example in Fig. 10 is a display example when the user individual fake degree is about 50%.

[0114] The user 10 who operates the smartphone 1 can know the user's individual fake degree from the bar graph (about 50%) displayed in this fake degree area 713.

[0115] In FIG. 10, the fakeness (user-individual fakeness) of the entire display information in the display information area 712 is displayed, but it is also possible to display and identify only the sentences for which the fakeness (user-individual fakeness) has been determined by highlighting or blinking, etc.

[0116] In this embodiment, the user's individual fake degree is displayed by a bar graph, but the user's individual fake degree can also be quantified and displayed as text information (for example, the character string "50%").

[0117] Furthermore, if the degree of fakery is high, a new warning message can be displayed on the display screen 711 or a warning sound can be generated to draw attention.

[0118] Regarding the display of the warning message, since fake information tends to spread within a short time, if the degree of information fakery of the obtained information is high, specifically, if the degree of information fakery is equal to or exceeds a predetermined first warning threshold, a warning message may be displayed when the information is about to be transferred or spread. In this case, the warning message may be, for example, "There is a high possibility that this is fake information. Are you sure you want to transfer it?". As another example, even if the degree of information fakery is less than the first warning threshold, when the degree of information fakery of the user's individual fakery coefficient is equal to or exceeds the first warning threshold, a different warning message with a lower degree of warning than the above warning message, for example, "This may be fake information. Are you sure you want to transfer it?" may be displayed.

[0119] In this embodiment, the fake degree (user-individual fake degree) is displayed as a bar graph, but in some cases, roughly three levels of fake degree (for example, three levels such as "likely", "caution required", and "suspicious") may be sufficient. In that case, since the fake degree (user-individual fake degree) can be identified in three levels, various identification means can be adopted.

[0120] For example, this can be achieved by providing a border around the display information area or the target text and identifying the text based on the border (border thickness, border type (dotted line, solid line, dashed line, etc.), border color, etc.). Also, this can be achieved by providing a background around the display information area or the target text and identifying the text based on the background (background color, type of texture pattern, etc.).

[0121] In this embodiment, information regarding the credibility of display information obtained via a network (display information from a web page or display information from an SNS) is obtained from an external server 615 via a network, and the fake degree (information fake degree) is calculated. However, without relying on the external server 615, the fake degree (information fake degree) can also be inferred and calculated by comprehensively judging past display information and additional information related to the display information (past fake degree, etc.) using AI processing inside the smartphone 1.

[0122] According to this embodiment, when displaying the fake degree of the displayed information, personality information (gullibility) regarding the individual user handling the displayed information is taken into account in the fake degree (information fake degree), so that the fake degree optimal for the user viewing the displayed information (user individual fake degree) can be displayed.

[0123] In this embodiment, as shown in FIG. 9, user personalities are categorized into three categories ("hard to be fooled," "average," and "easily fooled"), but the number of categories is not limited to three and may be increased or decreased.

[0124] In addition, when calculating the user's individual fake degree, the calculation is performed by multiplying the fake degree personality coefficient shown in FIG. 9, but this does not necessarily have to be a multiplication calculation, and weighting using a statistical calculation or the like may also be performed.

[0125] <Second embodiment> The following describes the second embodiment of the present invention. Note that the basic hardware configuration of the second embodiment is similar to that of the first embodiment described above, and the following mainly describes the differences between this embodiment (second embodiment) and the first embodiment described above, and omits descriptions of common parts as much as possible to avoid duplication.

[0126] In the above-described embodiment, the information about the user is the user's personality information with respect to gullibility, but in this embodiment, the information about the user is the user's physical information.

[0127] FIG. 11 is a schematic diagram for explaining the outline of this embodiment (second embodiment).

[0128] 11 is almost the same as the schematic diagram of FIG. 1, but adds a body measuring device 721 connected to the smartphone 1 via short-range wireless communication. The body measuring device 721 is a device that measures the physical condition of the user 10, and is configured separately from the smartphone 1, so it corresponds to an external body measuring device.

[0129] It is generally said that an excited state hinders normal judgment. In this embodiment, the excited state of the user is estimated based on physical information acquired from the body measuring device 721, and the degree of the excited state is reflected in the fake degree and displayed.

[0130] (Functional blocks of this embodiment) FIG. 12 is a functional block diagram showing an example of a functional block configuration of this embodiment.

[0131] The functional block diagram of Fig. 12 has some functions that overlap with the functions of the functional block diagram (Fig. 3) in the first embodiment, and the description of those functions will be omitted. Here, only the functions newly added in this embodiment and the functions that require additional explanation will be described.

[0132] The communication processing unit 12 in this embodiment has a function of transmitting and receiving information to and from an external device that performs short-distance wireless communication using the short-distance wireless communication device 63 (see FIG. 2). In this embodiment, it mainly receives physical information from a physical measurement device 721.

[0133] In recent years, body measuring devices 721 that perform short-distance wireless communication such as Bluetooth (registered trademark) communication and NFC standard communication have become widespread, and various types of body information (blood pressure, body temperature, respiratory rate, heart rate, sweat rate, etc.) can be acquired. In this embodiment, a body measuring device 721 that is capable of such short-distance wireless communication is used. These body measuring devices 721 are often called wearable devices and are built into watch-type, bracelet-type, or body-attached devices.

[0134] The body measuring device detection unit 22 is a function that searches for communicable body measuring devices 721 via the short-range wireless communication device 63. This body measuring device detection unit 22 can grasp the types and number of communicable body measuring devices 721.

[0135] The body measurement value acquiring unit 23 is a function that acquires body measurement values ​​from the body measuring device 721 detected by the body measuring device detecting unit 22 .

[0136] The average value calculation unit 24 is a function for calculating the average value of the body measurement values. Since the values ​​of the various body information described above vary from person to person, the degree of excitement cannot be judged by comparing with absolute values. Therefore, the average value calculation unit 24 compares the body measurement values ​​acquired by the body measurement value acquisition unit 23 with the daily body measurement values, and based on the comparison result, it is possible to judge the degree of increase or decrease. The average value calculation is to calculate the so-called normal body information.

[0137] In this embodiment, the body measurements over a two-week (14-day) period are averaged (moving average) and the average value is determined as the average value.

[0138] The timing of the physical measurements can be arbitrarily selected, such as at a fixed time every day, at fixed intervals, or all the time.

[0139] If two weeks' worth of body measurements are not available, the missing body measurements are filled in and the average value is calculated. In this embodiment, statistical standard values ​​(same sex, same age, roughly the same build) are used as the filled in body measurements.

[0140] The physical information storage unit 25 has a function of storing, in the non-volatile memory 42 of the storage 4, the physical measurement values ​​acquired by the physical measurement value acquisition unit 23 and the average values ​​up to the previous day calculated by the average value calculation unit 24.

[0141] The excited state estimation unit 26 is a function that judges how much the body measurement value acquired by the body measurement value acquisition unit 23 has increased or decreased compared to the average body measurement value up to the previous day calculated by the average value calculation unit 24, and estimates the excited state based on the result. In this embodiment, the excited state is classified into three stages (three stages of "normal", "slightly excited", and "excited"). The excited state information storage unit 27 is a function that stores excited state information indicating the excited state (three stages) estimated by the excited state estimation unit 26 in the non-volatile memory 42 of the storage 4.

[0142] The user individual fake degree coefficient calculation unit 20 is a function that calculates a coefficient (weighting) for the information fake degree obtained by the information fake degree calculation unit 16, using the excited state information of the user stored by the excited state information storage unit 27. The fake degree to be displayed is determined by this user individual fake degree coefficient calculation unit 20.

[0143] The coefficient (weighting) for the fakeness degree (information fakeness degree) will be described later.

[0144] The display data output unit 21 is a function that displays on the display screen 711 of the smartphone 1 the display information stored in the non-volatile memory 42 of the storage 4 by the display information storage unit 14, and the user's individual fake degree, which is the information fake degree related to the display information plus the user's physical information.

[0145] (Processing procedure for displaying fakeness in this embodiment) FIG. 13 is a flowchart showing the procedure of the process for displaying the fake degree in this embodiment.

[0146] The flowchart in Fig. 13 includes processes that overlap with the flowchart in the first embodiment (Fig. 4), and the description of those processes will be omitted. Here, only the processes newly added in this embodiment and the processes that require additional explanation will be described.

[0147] The processing procedure of FIG. 13 will be described with reference to the functional block diagram of FIG.

[0148] In the flowchart (FIG. 13) of the fake degree display in this embodiment, several processes (physical information acquisition process (S460), excited state estimation process (S420), excited state storage process (S421)) are added instead of the personality information acquisition process (S450) in the first embodiment described above.

[0149] Here, the physical information acquisition process (S460), which is a subroutine, will be described.

[0150] FIG. 14 is a flowchart showing the procedure of the physical information acquisition process (S460).

[0151] The processing procedure of FIG. 14 will be described with reference to the functional block diagram of FIG.

[0152] When the physical information acquisition process (S460) is started (S461), the physical measurement device detection unit 22 detects a communicable physical measurement device 721 (S462).

[0153] Next, it is determined whether or not the body measuring device 721 has been detected (S463).

[0154] In the process of determining whether or not a body measuring device is present (S463), if it is determined that there is no body measuring device 721 that can be connected (S463 / No), body measurements cannot be acquired, so this body information acquisition process (S460) is terminated (S469).

[0155] In the process of determining whether or not a body measuring device is present (S463), if it is determined that a connectable body measuring device 721 is present (S463 / Yes), the body measurement value acquisition unit 23 acquires body measurement values ​​from the connected body measuring device 721 (S464).

[0156] Next, average value calculation section 24 calculates the average value of the body measurements up to the previous day, which are stored in body information storage section 25 (S465).

[0157] There are various methods for calculating the average value, such as the average value of body measurements for the most recent specified number of days, or the average value of body measurements for the most recent specified number of items, but in this embodiment, the average value is calculated for the 14 days up to the previous day and used as the average body measurement value.

[0158] In this embodiment, if there are no body measurement values ​​for the most recent 14 days, the missing body measurement values ​​are filled in and the average body measurement values ​​are calculated.

[0159] Next, the degree to which the body measurement value acquired in the body measurement value acquisition process (S464) has changed from the average body measurement value calculated in the average value calculation process (S465) is calculated as a rate of change from the average value (S466).

[0160] Next, the current body measurement value acquired in the body measurement value acquisition process (S464) and the change rate of the body measurement value calculated in the change rate calculation process (S466) are stored in the non-volatile memory 42 of the storage 4 by the body information storage unit 25 (S467).

[0161] Next, it is determined whether or not all of the body measurement values ​​of all the body measurement devices 721 detected in the body measurement device detection process (S462) have been acquired (S468).

[0162] In the process of determining whether all body measuring devices have been completed (S468), if it is determined that all body measuring devices 721 have not been completed (S468 / No), the unconnected body measuring devices 721 are connected and the process proceeds to the body measurement value acquisition process (S464).

[0163] In the process of determining whether all physical measurement devices have been completed (S468), if it is determined that all physical measurement devices 721 have been completed (S468 / Yes), there are no unconnected physical measurement devices 721, so this physical information acquisition process (S460) is terminated (S469).

[0164] Here, returning to the procedure of displaying the fakeness degree in FIG. 13, the explanation will be continued.

[0165] Following the physical information acquisition process (S460), the excited state estimation unit 26 performs an excited state estimation process (S420).

[0166] Although the degree to which each physical measurement item affects the state of excitement varies, in this embodiment, weighting is applied to each physical measurement item using AI processing.

[0167] There are various methods for estimating the excited state, such as classification based on the range of body measurements or classification based on the rate of change of body measurements relative to an average value. In this embodiment, a classification method based on the rate of change of body measurements relative to an average value is adopted.

[0168] Here, an example will be described in which the body measurement is the respiratory rate. In this embodiment, when the body measurement value is less than +10% of the average value, the body measurement value is a normal state, when the body measurement value is more than +10% to less than +30% of the average value, the body measurement value is a slightly excited state, and when the body measurement value is more than +30% of the average value, the body measurement value is an excited state. For example, when the average respiratory rate is 15 times / min, the body measurement value is classified as less than 16.5 times / min as a normal state, when it is more than 16.5 times / min to less than 19.5 times / min as a slightly excited state, and when it is more than 19.5 times / min as an excited state. Of course, it goes without saying that the object of this embodiment can be achieved by a classification method other than this rate of change. For example, there is a classification method based on the difference value between the average value and the body measurement value, and a classification method that takes into account the variation and rate of change of the elements that calculate the average value.

[0169] Next, the excited state information storage unit 27 stores the excited state information based on the result of the estimation in the excited state estimation process (S420) in the non-volatile memory 42 of the storage 4 (S421).

[0170] Next, the process proceeds to a user individual fake degree coefficient calculation process (S416).

[0171] The user individual fake degree coefficient calculation process (S416) is a process for calculating a user individual fake degree coefficient (fake degree body coefficient) based on the user's excited state (three classifications) stored in the excited state storage process (S421).

[0172] Here, the user individual fake degree coefficient (fake degree body coefficient) based on body information will be described.

[0173] FIG. 15 is a table (810) showing user individual fake degree coefficients (fake degree body coefficients) for excited states (three classifications).

[0174] The items (column 811) consist of an excitement state classification (row 812) and a fake degree body coefficient (row 813).

[0175] The excited state classification (row 812) shows three classifications for the excited state (normal state (column 841), slightly excited state (column 842), excited state (column 843)). In addition, the fake degree body coefficient (row 813) shows the user individual fake degree coefficient (fake degree body coefficient) for the three classifications of the excited state classification (row 812).

[0176] For example, when the user's excited state is normal, this means that the user's individual fake degree coefficient (fake degree body coefficient) is 1.0.

[0177] Here, returning to the procedure of displaying the fakeness degree in FIG. 13, the explanation will be continued.

[0178] Following the user individual fake degree coefficient calculation process (S416), a user individual fake degree calculation process (S417) is performed.

[0179] The user's individual fake degree is the final fake degree displayed in the fake degree area 713 of the smartphone 1, and is a fake degree that reflects physical information (excited state).

[0180] The user individual fake degree is calculated by multiplying the information fake degree and the fake degree body coefficient, as shown in the following formula (2). y n =x A *w 2n (2) however, y n : User n's individual fakeness for information A x A : Information A's degree of information fakery w 2n : User n's fake body coefficient (user individual fake body coefficient)

[0181] For example, when the information fake degree is 50% and the excited state is normal, the user's individual fake degree is the product of the information fake degree (50%) and the fake degree body coefficient (1.0), so it is 50% (50% x 1.0). Also, when the information fake degree is 50% and the excited state is slightly excited, the user's individual fake degree is the product of the information fake degree (50%) and the fake degree body coefficient (1.5), so it is 75% (50% x 1.5).

[0182] In this embodiment as well, when the user individual fake degree, which is the product of the information fake degree and the fake degree body coefficient, exceeds 100%, it is set to the maximum value of 100%.

[0183] Next, the user individual fake degree calculated in the user individual fake degree calculation process (S417) is displayed in the fake degree area 713 of the smartphone 1 (S418), and the processing procedure of the fake degree display process in FIG. 13 is ended (S419).

[0184] In this embodiment, as shown in FIG. 15, the user's excited state is classified into three categories ("normal," "slightly excited," and "excited"), but the number of categories is not limited to three and may be increased or decreased.

[0185] In addition, when calculating the user's individual fake degree, the calculation is performed by multiplying the fake degree body coefficient shown in FIG. 15, but this does not necessarily have to be a multiplication calculation, and weighting using a statistical calculation or the like may also be performed.

[0186] In this embodiment, the focus is on respiratory rate as physical information, however, other physical information such as blood pressure, body temperature, heart rate, and amount of sweat can also be used to detect an excited state, and by combining multiple pieces of physical information, it is possible to detect an excited state more accurately.

[0187] In the above description, the user's body is measured by the external body measuring device 721, but if body measurements can be performed using only the smartphone 1, the measured values ​​can also be used.

[0188] For example, pulse rate, blood pressure, etc. can be measured by shining the light from a smartphone's light-emitting diode (LED) onto the capillaries in a user's fingertip and analyzing the image of the capillaries in the user's fingertip using the smartphone's camera function.

[0189] According to this embodiment, when displaying the fake degree of the display information, physical information (excitement state) of the individual user handling the display information is taken into account in the fake degree, so that it is possible to display the fake degree that is optimal for the user viewing the display information (user's individual fake degree).

[0190] <Third embodiment> The following describes the third embodiment of the present invention. Note that the basic hardware configuration of the third embodiment is similar to that of the above-mentioned embodiment, and the following mainly describes the differences between this embodiment (third embodiment) and the above-mentioned embodiment, and omits descriptions of common parts as much as possible to avoid duplication.

[0191] In the first embodiment, the information about the user is the user's personality information (gullibility), whereas in the second embodiment, the information about the user is the user's physical information (excitement state).

[0192] In this embodiment, both the user's personality information (gullibility) and the user's physical information (excitement state) are reflected in the degree of fakery and displayed as information about the user.

[0193] (Functional blocks of this embodiment) FIG. 16 is a functional block diagram showing an example of a functional block configuration of this embodiment.

[0194] The functional block diagram of Fig. 16 is a functional block diagram in which the functions of the functional block diagram (Fig. 3) in the first embodiment and the functions of the functional block diagram (Fig. 12) in the second embodiment are superimposed. Therefore, the description of the functions is omitted. Here, only the functions that require additional explanation in this embodiment are described.

[0195] The user individual fake degree coefficient calculation unit 20 is a function that calculates a coefficient (weighting) for the information fake degree obtained by the information fake degree calculation unit 16, using the user's personality information stored by the personality information storage unit 19 and the user's excited state information stored by the excited state information storage unit 27. The user individual fake degree coefficient calculation unit 20 determines the fake degree to be displayed.

[0196] The coefficient (weighting) for the degree of information fakery will be described later.

[0197] (Processing procedure for displaying fakeness in this embodiment) FIG. 17 is a flowchart showing the procedure of the process for displaying the fake degree in this embodiment.

[0198] The flowchart in Fig. 17 is a superimposed flowchart of the first embodiment (Fig. 4) and the second embodiment (Fig. 13). Therefore, the description of the process is omitted. Here, only the functions that require additional explanation in this embodiment will be described.

[0199] The user individual fake degree coefficient calculation process (S416) is a process for calculating a user individual fake degree coefficient based on the user's personality information (three categories of gullibility) stored by the personality information storage process (S454) and the user's excited state (three categories) stored by the excited state storage process (S421).

[0200] Here, we will explain the user's individual fakeness coefficient based on personality information (three categories of gullibility) and physical information (three categories of excited state).

[0201] FIG. 18 is a table (820) showing user-specific fake degree coefficients for three categories of gullibility and three categories of excited state.

[0202] The items consist of personality classifications (rows 850) and excitement state classifications (columns 860).

[0203] The personality classification (row 850) is a three-category classification of gullibility: not easily gullible (column 851), average (column 852), and gullible (column 853), and the excitement state classification (column 860) is a three-category classification of excitement state: normal (row 861), slightly excited (row 862), and excited (row 863)).

[0204] The user's individual fake degree coefficient, which takes into account both the user's personality information (ease of being gullible) and the user's physical information (excitement state), is calculated as the product of the fake degree personality coefficient and the fake degree excitement coefficient, as shown in the following formula (3). w 3n =w 1n *w 2n (3) w 3n : User-specific fakeness coefficient w 1n : User n's fake personality coefficient w 2n : User n's fake body coefficient

[0205] For example, if a user's gullibility is normal (fake personality coefficient = 1.0) and their excitement level is normal (fake body coefficient = 1.0), this means that the user's individual fake coefficient is 1.0 (the product of fake personality coefficient = 1.0 and fake body coefficient = 1.0).

[0206] After the user individual fake degree coefficient calculation process (S416), the main processor 2 performs a user individual fake degree calculation process (S417).

[0207] The user's individual fake level is the final fake level displayed in the fake level area 713 of the smartphone 1, and is a fake level that reflects both the user's personality information (gullibility) and the user's physical information (state of excitement).

[0208] The user individual fake degree is calculated by multiplying the information fake degree and the user individual fake degree coefficient, as shown in the following formula (4). y n =x A *w 3n =x A *w 1n *w 2n (4) however, y n : User n's individual fake degree for information A x A : Information A's degree of information fakery w 1n : User n's fake personality coefficient w 2n : User n's fake body coefficient w 3n : User-specific fakeness coefficient

[0209] For example, if the information fake degree is 50% and the user individual fake degree coefficient is 1.0, the user individual fake degree is the product of the information fake degree (50%) and the user individual fake degree coefficient (1.0), so it is 50% (50% x 1.0).

[0210] In this embodiment as well, when the user individual fake degree, which is the product of the information fake degree and the user individual fake degree coefficient, exceeds 100%, it is set to the maximum value of 100%.

[0211] Next, the user individual fake degree calculated in the user individual fake degree calculation process (S417) is displayed in the fake degree area 713 of the smartphone 1 (S418), and the processing procedure of the fake degree display process in FIG. 17 is ended (S419).

[0212] In this embodiment, as shown in Fig. 18, the user's personality is divided into three categories (three categories of "hard to be fooled", "normal", and "easily fooled"), but the number of categories is not limited to three and the number of categories may be increased or decreased. Also, the user's excited state is divided into three categories (three categories of "normal", "slightly excited", and "excited"), but the number of categories is not limited to three and the number of categories may be increased or decreased.

[0213] In addition, when calculating the user individual fake degree, the calculation is performed by multiplying the user individual fake degree coefficient shown in FIG. 18, but this does not necessarily have to be a multiplication calculation, and weighting using a statistical calculation or the like may also be performed.

[0214] According to this embodiment, when displaying the fake degree of the displayed information, the fake degree is determined by taking into account both personality information (ease of being gullible) and physical information (state of excitement) relating to the individual user handling the displayed information, so that the fake degree that is optimal for the user viewing the displayed information (user's individual fake degree) can be displayed.

[0215] <Fourth embodiment> The following describes the fourth embodiment of the present invention. Note that the basic hardware configuration of the fourth embodiment is similar to that of the above-mentioned embodiments, and the following mainly describes the differences between this embodiment (fourth embodiment) and the above-mentioned embodiments, and omits descriptions of common parts as much as possible to avoid duplication.

[0216] In the above embodiment, the display information obtained via the Internet is the target, but in this embodiment, the broadcast content is received. In this embodiment, the information fakeness degree is calculated based on the characteristics related to the credibility derived from the audio information. As a specific example, at least one or any combination of the following may be used: the broadcasting station that broadcasted the audio information, evaluation information that evaluates the credibility of the audio information and is assigned, the time when the audio information was spread via a public line, the speed at which the audio information was spread via a public line, and the sentence expression included in the audio information.

[0217] FIG. 19 is a schematic diagram for explaining the outline of this embodiment (fourth embodiment).

[0218] 19 is a schematic diagram showing a state in which a user 10 operating a portable information terminal (smartphone) 1 receives a broadcast signal 616 from a television, radio, or the like, and acquires audio information from a speaker 82 of the smartphone 1. Naturally, the video information is displayed on a display screen 711 of the smartphone 1.

[0219] There is a possibility that the audio information that the user 10 who operates the smartphone 1 receives and acquires from the broadcast is mixed with audio information of questionable authenticity. (In FIG. 19, this is indicated as "Fake information?")

[0220] In this embodiment, the voice information is converted into character information (text) and treated equivalently to the display information in the above-described embodiment, thereby calculating the degree of fakeness.

[0221] (Functional blocks of this embodiment) FIG. 20 is a functional block diagram showing an example of the functional block configuration of this embodiment.

[0222] The functional block diagram of Fig. 20 has some functions that overlap with the functions of the functional block diagram (Fig. 3) in the first embodiment, and the description of those functions will be omitted. Here, only the functions newly added in this embodiment and the functions that require additional explanation will be described.

[0223] The communication processing unit 12 in this embodiment has a function of receiving broadcasts such as television and radio broadcasts by a broadcast receiver 64 .

[0224] The audio information acquisition unit 28 has a function of acquiring audio information of the broadcast received by the communication processing unit 12 .

[0225] The voice-to-text unit 29 has a function of converting the voice information acquired by the voice information acquisition unit 28 into character information (text conversion).

[0226] The voice-to-text data storage unit 30 has a function of storing the character information converted by the voice-to-text unit 29 in the non-volatile memory 42 of the storage 4 or various RAMs 43 .

[0227] The display data output unit 21 is a function that displays, on the display screen 711 of the smartphone 1, the text information stored in the voice-to-text data storage unit 30, and the fakeness degree of the information about the text information plus the user's personality information.

[0228] (Processing procedure for displaying fakeness in this embodiment) FIG. 21 is a flowchart showing the procedure of the process for displaying the fake degree in this embodiment.

[0229] The flowchart in Fig. 21 includes processes that overlap with the flowchart in the first embodiment (Fig. 4), and the description of those processes will be omitted. Here, only the processes newly added in this embodiment and the processes that require additional explanation will be described.

[0230] The processing procedure in FIG. 21 will be described with reference to the functional block diagram in FIG.

[0231] In the flowchart for displaying the degree of fakeness in this embodiment (FIG. 4), four processes (voice information acquisition process (S422), voice text conversion process (S423), voice text data storage process (S424), and voice text data display process (S425)) are added instead of some of the processes in the first embodiment described above.

[0232] When the process of displaying the fake degree is started (S411), the audio information acquisition unit 28 acquires audio information from the broadcast signal 616 (S422).

[0233] Next, the voice information acquired in the voice information acquisition process (S422) is converted (converted) into text information (referred to as "voice-to-text data") by voice-to-text unit 29 (S423).

[0234] In this embodiment, the process of converting voice information into voice-to-text data is performed using AI voice analysis processing. Note that AI voice analysis processing is similar to Siri on the iPhone (registered trademark) or a voice input technology provided by Google, such as a technology that recognizes the hotword "OK, Google."

[0235] Next, the speech-to-text data converted in the speech-to-text process (S423) is stored in the non-volatile memory 42 of the storage 4 by the speech-to-text data storage unit 30 (S424).

[0236] Next, the voice-to-text data stored in the voice-to-text data storage process (S424) is displayed on the display screen 711 (S425).

[0237] In the case of a television broadcast, the voice-to-text data is displayed on the display screen 711 by being superimposed on the television broadcast screen or by being displayed as two screens.

[0238] The speech-to-text data converted into character information can be handled in the same manner as the display information in the first embodiment.

[0239] The following process is the same as the process for displaying the fake degree in the first embodiment, so a description thereof will be omitted.

[0240] According to this embodiment, the effects of the present invention can also be obtained when receiving broadcasts such as television and radio.

[0241] In this embodiment, the user's personality information (gullibility) is used as the information about the user, but the user's physical information (excited state) described in the above-mentioned second embodiment can also be used. In addition, both the user's personality information (gullibility) and the user's physical information (excited state) described in the above-mentioned third embodiment can also be used.

[0242] As an application of this embodiment, the same processing can be performed on voice information (voice information file) attached to a web page 613 or an SNS 614 acquired via the Internet 612 as a communication network. As a result, the effect of the present invention can be obtained also for voice information acquired via the Internet 612.

[0243] Also, if character patterns can be extracted from still image information or video information and converted into character information, the effects of the present invention can be obtained. For example, a television that is not connected to the Internet 612 may be configured to receive broadcast signals (broadcast radio waves), convert audio information into character information, and display a user's individual fake degree and a warning message as a telop on the television screen. In this case, the user's personality information may be set by accepting a setting operation on the television, or the viewer's age (for example, a distinction between children and adults) and gender may be estimated from past programs viewed. For example, if a user (viewer) spends a lot of time watching children's programs, it is highly likely that the user (viewer) is a child, so the user's individual fake degree coefficient may be set to a value higher than the usual 1.0.

[0244] In the above-described embodiment, a smartphone has been described as the target, but it goes without saying that the present invention can also be applied to information display devices other than the smartphone 1, such as tablets, computer devices including notebook computers, AR (augmented reality) glasses, and HMDs (head-mounted displays).

[0245] Furthermore, since the fake degree display function of the present invention is a function that is added additionally to the function of displaying the original information, this fake degree display function should be selected to be on (enabled) or off (disabled) by the user's choice. Therefore, the fake degree display function may be configured to be set to on (enabled) or off (disabled) by any operation input device such as the main processor 2, storage 4, touch sensor 91, and operation key 92 in FIG. 2. Furthermore, the user's individual fake degree may not only be displayed together with the display information on the same display screen 711, but also the display information and the user's individual fake degree may be displayed on each of the multiple display screens 711, and the display screens 711 may be switched to display. Furthermore, even if the user's individual fake degree is calculated, only the display information may be displayed on the display screen 711, and when an SNS or the like is started on the smartphone 1 to transfer the display information, a display (which may be a pop-up display) for warning of the transfer may be displayed in accordance with the value of the user's individual fake degree.

[0246] Although the examples of the embodiments of the present invention have been described above using the first to fourth embodiments, the configurations for realizing the technology of the present invention are not limited to the above-mentioned embodiments, and various modified examples are possible. For example, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. All of these belong to the scope of the present invention. Furthermore, the numerical values, messages, etc. appearing in the text and figures are merely examples, and the effect of the present invention is not impaired even if different ones are used.

[0247] In the above embodiment, the mobile information terminal as the information display device is assumed to be used by one user, but it is possible that multiple users use one mobile information terminal. In this case, the personality information, physical information, etc. of each user are unique to each user and need to be handled separately and independently.

[0248] Therefore, when multiple users use one mobile information terminal, the personality information, physical information, etc. of each user are stored in the non-volatile memory 42 of the storage 4 in conjunction with the user authentication, and the fake degree of each user can be displayed by using the stored information. User authentication is a commonly used technology such as face authentication, fingerprint authentication, password authentication, etc.

[0249] As a result, the effects of the present invention can be obtained even when multiple users use one mobile information terminal.

[0250] The functions of the present invention described above may be realized in part or in whole by hardware, for example, by designing them as an integrated circuit. Also, they may be realized by software, in which a microprocessor unit or the like interprets and executes a program that realizes each function. Hardware and software may be used together. The software may be stored in the ROM 41 of the smartphone 1 beforehand at the time of product shipment. The software may be obtained from an external server 615 on the Internet 612 after product shipment. Also, the software may be obtained by being provided on a memory card, an optical disk, or the like.

[0251] In addition, the control lines and information lines shown in the diagram are those considered necessary for explanation, and do not necessarily show all the control lines and information lines on the product. In reality, it can be considered that almost all components are connected to each other. [Explanation of symbols]

[0252] 1: Smartphone 2: Main processor 3: System bus 4: Storage 10: User 11: Control section 12: Communication processing unit 13:Display information acquisition section 14:Display information storage section 15: Fake related information acquisition section 16: Information fakeness calculation section 17: Information fakeness data storage department 18: Personality information acquisition department 19: Personality information storage department 20: User-specific fakeness coefficient calculation unit 21: Display data output section 22: Body measurement device detection section 23:Physical measurement value acquisition section 24: Average value calculation section 25:Physical Information Storage Department 26: Excitement state estimation unit 27: Excitement state information storage unit 28: Audio information acquisition unit 29: Speech to text conversion section 30: Speech-to-text data storage unit 41: ROM 42: Non-volatile memory 43: RAM 51: GPS receiver 52: Geomagnetic sensors 53: Acceleration sensors 54: Gyro sensors 61:LAN communication device 62:Telephone network communication equipment 63: Near field wireless communication device 64: Broadcast receiver 71: Display 72: In-camera 73: Rear camera 81: Mike 82: Speaker 91: Touch sensor 92: Operation key 611: Wireless LAN router 612: Internet 613: WEB page 615: External server 616: Broadcast signal 621: Mobile phone base station 711:Display screen 712:Display information area 713: Fakeness Zone 714: User-specific fakeness 721: Body measuring equipment

Claims

1. An information processing device, A communication unit for connecting to a network; A control unit, The control unit is receiving information and an information fake degree regarding the credibility of the information via the communication unit; Calculate the individual fake score for the user's credibility judgment tendency, Calculating an information-corrected fake degree by correcting the information fake degree based on the individual fake degree; When transmitting the information from the communication unit, a warning based on the information correction fake degree calculated for the information is output.

23. An information processing apparatus comprising:

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