Method for controlling 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 apparatus, and more particularly to a technique for providing the credibility of information to a user.

Background Art

[0002] In recent years, portable information terminals (information display devices) typified by smartphones have become widespread. With a smartphone, it is possible to connect to the Internet via a telephone line or a LAN (Local Area Network) and obtain various information from an external server. In addition, with a smartphone which is a personal information terminal, it is possible to acquire information regarding an individual user who operates the smartphone by means of application software, various sensors, and the like.

[0003] As a system for identifying the credibility of news that can be obtained via the Internet, Patent Document 1 discloses a system in which "received news content is evaluated, and a related media source, a related journalist, and at least one related predetermined topic can be identified. The current scores of each of the related media source, the related journalist, and at least one related predetermined topic can be identified based on the stored information. A credibility score can be scored based on the identified current scores of the related media source, the related journalist, and at least one related predetermined topic. A display associated with the received news content can be corrected based on the generated credibility score. (Summary excerpt)".

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] The information obtained via the Internet is not limited to news content, but also includes content personally transmitted via SNS. Since the credibility of the information obtained via the Internet, including such content, may be uncertain, there is a risk that readers who come into contact with the obtained information may be deceived. Furthermore, there may also be a risk that well-intentioned recipients may spread information of low credibility through SNS.

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

[0007] In Patent Document 1, the credibility of news content itself can be specified, 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, in Patent Document 1, although the credibility of news content for which the media or journalist of the source can be specified can be specified, there remains a problem that the credibility of information transmitted by ordinary individuals or anonymously, such as content via SNS, cannot be specified.

[0008] Therefore, an object of the present invention is to provide information regarding the credibility of information (since this obtained information is displayed on the display screen of an information display device, hereinafter referred to as "display information") obtained via a public line such as the Internet or a broadcast network, taking into account the state of the reader, not limited to news content. Means for Solving the Problems

[0009] To solve the above problems, the present invention has the configuration described in the claims. For example, the present invention is an information processing apparatus comprising a communication unit connected to a network and a control unit, wherein the control unit receives information and an information forgery degree regarding the authenticity of the information via the communication unit, calculates an individual forgery degree regarding the user's authenticity judgment tendency, calculates an information corrected forgery degree obtained by correcting the information forgery degree based on the individual forgery degree, and controls to output a warning based on the information corrected forgery degree calculated for the information when transmitting the information from the communication unit.

Advantages of the Invention

[0010] According to the present invention, it is possible to provide information regarding the authenticity of information obtained via a public line such as the Internet or a broadcast network, taking into account the state of the reader, not limited to news content. Note that the objects, configurations, and effects of the present invention other than those described above will be clarified in the following embodiments.

Brief Description of the Drawings

[0011]

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Mode for Carrying Out the Invention

[0012] Hereinafter, examples of embodiments of the present invention will be described with reference to the drawings. The same reference numerals are given to the same drawings throughout, and redundant descriptions are omitted.

[0013] <First Embodiment> FIG. 1 is a schematic diagram for explaining the outline of the information display device according to the present embodiment.

[0014] Figure 1 shows a state where a user 10 operating a smartphone 1 as an information display device acquires display information from a web page 613 (which means the World Wide Web) and display information from an SNS (Social Networking Service) 614 via the Internet 612 and displays it on the display screen 711 of the smartphone 1. In the present embodiment, the smartphone 1 is taken as an example of the information display device for explanation. However, any device having a function of receiving and displaying display information from the Internet 612 or the SNS 613 may be a portable information terminal such as a tablet or an information processing device such as a PC.

[0015] As for the method by which the smartphone 1 connects to the Internet 612, there are methods such as via a mobile phone base station 621 which is a mobile phone line network and via a wireless LAN router (Wi-Fi (registered trademark) router) 611. However, in any case, in terms of connecting to the Internet 612, the background of the present embodiment is the same.

[0016] Note that an external server 615 that transmits fake-related information is connected to the Internet 612. And the smartphone 1 is configured to be able to acquire fake-related information necessary for implementing the present embodiment from the external server 615. This external server 615 may be connected to a management site for fake information transmission or may be an independent server that transmits fake-related information.

[0017] Among the display information (display information from the web page 613, display information from the SNS 614, etc.) acquired by the user 10 operating the smartphone 1 via the Internet 612, there may be display information with doubtful credibility mixed in. (In Figure 1, it is described as "Fake information?").

[0018] In this embodiment, the credibility level is referred to as the "fakeness level". The fakeness level means the opposite of the credibility level (0% - 100%). A credibility level of 100% corresponds to a fakeness level of 0%, and a credibility level of 0% corresponds to a fakeness level of 100%. That is, the fakeness level (%) is the value obtained by subtracting the credibility level (%) 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 fakeness level through internal processing of the smartphone 1. Of course, when the display information itself has fake-related information associated with it, it is used as it is.

[0020] When the user 10 comes into contact with display information obtained from the Internet 612 or the SNS 613, even for the same display information, the susceptibility to being deceived varies depending on the personality and knowledge of the user 10. That is, since the way of perceiving the fakeness level of the display information varies from user to user, even when coming into contact with the same display information, there are users who are deceived by it and users who are not deceived by it.

[0021] Therefore, in this embodiment, a user-specific fakeness coefficient indicating the degree to which the user 10 operating the smartphone 1 can determine the authenticity of the credibility of the display information is calculated based on an index representing the tendency of the user's credibility judgment derived from the user, and this is used to correct the fakeness level (information fakeness level) specific to the display information, thereby optimizing the fakeness level taking into account the personality information (susceptibility to being deceived) of the user. The optimized fakeness level corresponds to the user-specific fakeness level in this specification and is the fakeness level to be displayed.

[0022] The degree of information fakeness is calculated using characteristics related to the credibility derived from the display information. As specific examples of "characteristics related to the credibility derived from the display information," the type of site where the display information was published, the author of the display information, information indicating the publisher of the display information, evaluation information by which the publisher of the display information was evaluated and given regarding the credibility of the display information, the time when the display information was spread via the public communication network, the speed at which the display information was spread via the public communication network, at least one or any combination of the sentence expressions included in the display information may be used. The degree of information fakeness may be calculated by the smartphone 1 based on the characteristics related to the credibility derived from the display information, or the smartphone 1 may acquire (receiving is one aspect of acquisition) the already calculated degree of information fakeness. In the case of acquisition, in the explanations described later, the information fakeness calculation process may be omitted, and the degree of information fakeness of the display information may be acquired simultaneously when receiving the display information or at different timings.

[0023] The "index representing the tendency of judgment of credibility derived from the user" used for calculating the user-specific fakeness coefficient is a value that changes according to the ease with which the user is deceived. When the user's personality is cautious, it is considered that the user is more easily deceived compared to the case where the user is not. Also, even for the same user, for example, when excited, anxious, or facing an emergency situation and being emotionally unstable, it is considered that the user is more easily deceived. Therefore, a diagnosis regarding the ease with which the user is deceived may be performed in advance, and the diagnosis result may be used as an index. Also, when excited or anxious, changes in physical states such as an increase in blood pressure, an increase in heart rate, an increase in respiratory rate, and an increase in body temperature are likely to appear, so physical information may be used as an index. Note that the embodiment when using this physical information as an index will be described in more detail in the <Second Embodiment> described later.

[0024] In FIG. 1, the determined degree of fakeness is displayed as a bar graph in the fakeness degree area 713 of the display screen 711. Note that the display form of the degree of fakeness will be described later.

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

[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 communicator 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 component 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 according to a predetermined operation program.

[0028] The system bus 3 is a data communication path for transmitting and receiving various commands, data, etc. between the main processor 2 and each component block in 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 contents, and library information downloaded from libraries, and a rewritable RAM 43 such as a work area used in various program operations.

[0030] In addition, the storage 4 can store an operation program downloaded from the network, various data created by the operation program, and the like. It can also store contents such as videos, still images, and audio downloaded from the network. Further, it can store data such as videos and still images captured using the photographing functions of the in-camera 72 and the out-camera 73. Furthermore, the storage 4 needs to retain the stored information even when no external power is supplied to the smartphone 1. Therefore, for example, device 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. Note that each operation program stored in the storage 4 can be updated and its functions extended by downloading 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, tilt, direction, movement, etc. of the smartphone 1. Additionally, the smartphone 1 may further include other sensors such as an illuminance sensor, an altitude sensor, and a proximity sensor.

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

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

[0034] The short-range wireless communicator 63 exchanges information with an external Bluetooth (registered trademark) device or an external NFC-compatible device through 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 communicator 61, the telephone network communicator 62, the short-range wireless communicator 63, and the broadcast receiver 64 each include an encoding circuit, a decoding circuit, an antenna, and the like. In addition to the above communicators, other communicators such as an infrared communicator may be provided.

[0037] The display 71 is a display device such as a backlight type liquid crystal display or an organic EL display which is self-luminous, and displays display information such as image data, video data, news content, and character information obtained via the Internet 612, or image information and video information captured by the in-camera 72 or the out-camera 73, and provides it to the user 10.

[0038] The in-camera 72 is provided on the same surface as the surface on which the display 71 in the smartphone 1 is provided. It is used when capturing a face image of the user 10 to identify the user 10.

[0039] The out-camera 73 is provided on the back surface of the smartphone 1. It is used when capturing a landscape or the like.

[0040] Each of the in-camera 72 and the out-camera 73 is a camera that inputs image information of the surroundings or an object by converting the light input from the 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 inputs by converting sounds in the real space, the user's voice, etc. into voice information.

[0042] The speaker 82 outputs voice information and the like necessary for the user. Of course, earphones and headphones can also be connected, and it goes without saying that they can be used appropriately according to the application.

[0043] The touch sensor 91 is laminated and arranged 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 that inputs operation instructions for the smartphone 1, and other operation input devices may also be used. Further, the smartphone 1 may be operated using a separate portable terminal device connected by wired or wireless communication using the LAN communicator 61 or the short-range wireless communicator 63.

[0046] Further, the operation of the smartphone 1 may be performed by analyzing the captured video of the in-camera 72 and using gestures or other actions.

[0047] Note that the hardware configuration example of the smartphone 1 shown in FIG. 2 includes many configurations that are not essential for this embodiment, but the effects of this embodiment are not impaired even if these configurations are not provided. Further, configurations not shown, such as an electronic money settlement function, may be added.

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

[0049] The control unit 11 is a function for controlling the entire smartphone 1, and is mainly configured by the main processor 2 reading 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 by the LAN communicator 61 or the telephone network communicator 62.

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

[0052] The display information storage unit 14 is a function for storing the display information obtained by the display information acquisition unit 13 in the non-volatile memory 42 of the storage 4.

[0053] The fake-related information acquisition unit 15 is a function for acquiring information related to fake from an external server 615 that transmits fake-related information by the communication processing unit 12. The external server 615 performs verification (fact-check) on the display information from the web page 613 and SNS, and transmits fake-related information including the verification result. As the external server 615, for example, a media partner of the Fact-Check Initiative (FIJ) can also be used.

[0054] The information fake degree calculation unit 16 has the function of inferring the fake-related information acquired by the fake-related information acquisition unit 15 through AI (Artificial Intelligence) processing and calculating the fake degree of the inferred display information. In AI processing, operations such as learning the regularity and rules of data and deriving inferences are being performed. The fake degree is calculated by AI processing based on information related to fake, past display information, and the accuracy of its credibility, etc.

[0055] Also, when the fake-related information acquisition unit 15 of the information fake degree calculation unit 16 fails to acquire fake information, the information fake degree calculation unit 16 utilizes past fake information and infers the fake degree through AI processing. The information fake degree calculation unit 16 may calculate the fake degree by using a conventional rule-based calculation process without using AI processing.

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

[0057] The personality information acquisition unit 18 has the function of acquiring information (susceptibility to being deceived) regarding the personality 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 based on the answers to those questions, makes a personality judgment including the susceptibility of the user 10 to being deceived. The personality information acquisition unit 18 converts the result of the personality judgment into, for example, a score indicating the susceptibility to being deceived to generate personality information.

[0058] The personality information storage unit 19 has a function of associating the information (easiness to be deceived) regarding the personality of the user 10 acquired by the personality information acquisition unit 18 with the information uniquely indicating the user 10 (user identification information), and storing it in the non-volatile memory 42 of the storage 4. The user identification information may be biometric 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), voiceprint information of the user 10 collected by the microphone 81, etc., or simply the name of the user 10.

[0059] The user-specific fake degree coefficient calculation unit 20 is a process of 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-specific 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 has a function of displaying 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, the fake degree taking into account the user's personality information (since it is user-specific information, hereinafter referred to as "user-specific fake degree"), etc. The final user-specific fake degree to be displayed on the display screen 711 of the smartphone 1 will be described later.

[0061] (Processing procedure for fake degree display) FIG. 4 is a flowchart showing the processing procedure of the fake degree display process (corresponding to the information display method) in the present embodiment. For the explanation of the processing procedure in FIG. 4, reference will be made to the functional block diagram in FIG. 3.

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

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

[0064] Next, the main processor 2 outputs the display information stored in the display information storage process (S413) to the display screen 711 of the smartphone 1 by the display data output unit 21 (S414) and displays it. The display of the display information by this display information screen output process (S414) is the display information itself in a general smartphone 1.

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

[0066] In FIG. 5, the display information of the WEB page acquired via the Internet 612 is displayed in the display information area 712 on the 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 display information itself acquired by the user 10 operating the smartphone 1.

[0067] Here, returning to the processing procedure of the fake degree display in FIG. 4, the description will be continued.

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

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

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

[0071] The user 10 who operates the smartphone 1 can know that the information fakeness regarding the display information is being calculated by the text sentence displayed in this fakeness degree area 713. In this embodiment, there are an information fakeness degree which is a fakeness degree unique to the content, and a user individual fakeness degree which is a fakeness degree corresponding to each user when contacting the information. However, as shown in FIG. 6, in the screen display example, they may be simply described as "fakeness degree" without distinguishing them.

[0072] Here, returning to the processing procedure of the fakeness degree display in FIG. 4, the description will be continued.

[0073] Next to the user individual fakeness degree calculation in - progress display processing (S415), the main processor 2 performs information fakeness degree calculation processing (S430) which is a defined processing (subroutine).

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

[0075] Here, the information fakeness degree calculation processing (S430) which is a subroutine will be described. FIG. 7 is a flowchart showing the processing procedure of the information fakeness degree calculation processing (S430) which is a subroutine. For the description of the processing procedure in FIG. 7, reference will be made to the functional block diagram in FIG. 3 for description.

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

[0077] Next, the main processor 2 requests the external server 615 that transmits fakeness - related information by the communication processing unit 12 to request fakeness - related information (S433).

[0078] Next, the main processor 2 determines whether fake-related information from the external server 615 that transmits fake-related information has been received (S434).

[0079] In the fake-related information reception determination process (S434), if the main processor 2 determines that the fake-related information could not be received (S434 / No), it determines whether a predetermined time has elapsed (S435). The "predetermined time" here is the time provided for waiting for the reception of fake-related information.

[0080] In the predetermined time elapsed determination process (S435), if the main processor 2 determines that the predetermined time has not elapsed (S435 / No), it returns to the fake-related information reception determination process (S434). By this predetermined time elapsed determination process (S435), it is possible to prevent the information fake degree calculation process (S430) from falling into a deadlock.

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

[0082] In the fake-related information reception determination process (S434), if the main processor 2 determines that the fake-related information has been received (S434 / Yes), or if it becomes the predetermined time or more 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 arithmetic processing based on a conventional rule base (S436).

[0084] In the information fake degree calculation process (S436), the main processor 2 comprehensively determines the fake-related information from the external server 615, past display information, and incidental information (such as past fake degrees) related to the display information acquired by the fake-related information acquisition unit 15, and infers and calculates the information fake degree.

[0085] In addition, information regarding the degree of fakeness may be attached to the display information itself. For example, on the SNS (tweet) of Twitter, Inc. (USA), the content of the tweet is labeled to inform that the tweet contains information that may cause misunderstanding or information whose authenticity is in question. In the information fakeness degree calculation process (S436), this labeled SNS (tweet) is inferred to have a high degree of information fakeness.

[0086] In the predetermined time elapsed determination process (S435), when it is determined that the predetermined time has elapsed and the process proceeds to S436 (information fakeness degree calculation process), the main processor 2 utilizes past fakeness information to infer and calculate the information fakeness degree. If there is no past fakeness information, the main processor 2 may set a predetermined fakeness degree. Although there is no specific regulation regarding the predetermined fakeness degree set here, since no fakeness-related information can be obtained, it can also be set to a medium fakeness degree (fakeness degree of 50%).

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

[0088] With the above, the processing procedure of the information fakeness degree calculation process (S430) ends (S438).

[0089] Here, returning to the processing procedure of the fakeness degree display in FIG. 4, the description continues.

[0090] Next to the information forgery degree calculation process (S430), the process proceeds to the personality information acquisition process (S450), which is a defined process (subroutine). The personality information acquisition process (S450) is a process of acquiring personal information such as the personality of 10 users who operate 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 processing procedure of the personality information acquisition process (S450). The description of the processing procedure in FIG. 8 will be made with reference to the functional block diagram in FIG. 3. The personality information in FIG. 8 targets the personality of the user regarding the ease of being deceived.

[0092] When the main processor 2 starts the personality information acquisition process (S451), it determines whether 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), since the user's personality information has been obtained, this personality information acquisition process (S450) is terminated (S455). Of course, it goes without saying that this personality information can also be acquired again.

[0094] If the main processor 2 determines that the user's personality information is not stored (S452 / No), it 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 (ease of being deceived) by the personality information acquisition unit 18. Here, the user's personality regarding the ease of being deceived is investigated based on various questions and the answers to those questions.

[0096] In addition, there are various methods for investigating susceptibility to being deceived, and there are many dedicated personality diagnosis websites, so they can be used. For example, the Consumer Affairs Agency asks 15 questions such as "Are you easy to be flattered?" and the answers range from "Hardly applicable." (1 point) to "Very applicable." (5 points) in five levels. Based on the total score, the probability of concluding a contract when a contract is received is calculated in five levels (about 25%, about 30%, about 40%, about 50%, about 70%). In this embodiment, for the sake of simplicity, the investigation results of susceptibility to being deceived are classified into three patterns (difficult to be deceived, ordinary, easy to be deceived).

[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 by the personality information storage unit 19 (S454), and ends this personality information acquisition process (S450) (S455).

[0098] Here, returning to the processing procedure of the fake degree display in FIG. 4, the description is continued.

[0099] Next to 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 of calculating a user individual fake degree coefficient (fake degree personality coefficient) based on the user's personality information (three classifications for susceptibility to being deceived) stored by the personality information storage process (S454).

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

[0102] FIG. 9 is a table (800) showing the user individual fake degree coefficient (fake degree personality coefficient) for susceptibility to being deceived (three classifications).

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

[0104] The personality classification (row 802) shows three classifications regarding the susceptibility to being deceived (difficult to be deceived (column 831), ordinary (column 832), easy to be deceived (column 833)). Also, the fake degree personality coefficient (row 802) shows the user-specific fake degree coefficient (fake degree personality coefficient) for the three classifications of the personality classification (row 802). For example, when the user's personality classification is ordinary regarding the susceptibility to being deceived, it means that the user-specific fake degree coefficient (fake degree personality coefficient) is 1.0.

[0105] Here, returning to the processing procedure of the fake degree display in FIG. 4, the explanation continues.

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

[0107] The user-specific fake degree is the final fake degree to be displayed in the fake degree area 713 of the smartphone 1, and it is a fake degree that reflects the user's personality information (susceptibility to being deceived).

[0108] The user-specific fake degree is calculated by the product of 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 : The user-specific fake degree for the information A of user n x A : The information fake degree of information A w 1n : The fake degree personality coefficient (user-specific fake degree coefficient) of user n

[0109] For example, when the information fake degree is 50% and the personality classification (ease of being deceived) is normal, the user individual fake degree is the product of the information fake degree (50%) and the fake degree personality coefficient (1.0), so it is 50% (50% × 1.0). Also, when the information fake degree is 50% and the personality classification (ease of being deceived) is easy to be deceived, the user individual fake degree is the product of the information fake degree (50%) and the fake degree personality coefficient (1.5), so it is 75% (50% × 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 all set to 100% of the maximum value. Note that the meaning of the fake degree being 100% does not mean that it is objectively completely fake (= the credibility is 0), but it is only determined that the fake degree is the maximum value in the sense of arousing the attention of individual users.

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

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

[0113] In FIG. 10, the user individual fake degree 714 is displayed as a bar graph in the fake degree area 713 of the 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 operating the smartphone 1 can know the user individual fake degree from the bar graph (about 50%) displayed in this fake degree area 713.

[0115] In FIG. 10, the degree of fakeness (user-specific fakeness degree) with respect to the entire display information in the display information area 712 is displayed. However, it is also possible to display and identify only the sentences that are the targets for determining the degree of fakeness (user-specific fakeness degree) with highlights, blinks, etc.

[0116] In this embodiment, the user-specific fakeness degree is displayed by a bar graph, but it is also possible to quantify the user-specific fakeness degree and display it as text information (for example, the character string "50%").

[0117] Also, when the degree of fakeness is high, it is also possible to newly display a warning message on the display screen 711 or generate a warning sound to draw attention.

[0118] Regarding the display of the warning message, since fake information tends to spread in a short time, when the information fakeness degree of the obtained information is high, specifically, when the information fakeness degree is equal to or higher than a predetermined first warning threshold, the warning message may be displayed when an attempt is made to transfer or spread that information. The warning message in this case is, for example, "There is a high possibility of fake information. Are you sure you want to transfer it?" Also, as another example, even if the information fakeness degree is less than the first warning threshold, when the user-specific fakeness degree coefficient causes the information fakeness degree to be equal to or higher than the first warning threshold, a different warning message with a lower warning level than the above warning message, for example, "There may be fake information. Are you sure you want to transfer it?" may be displayed.

[0119] In this embodiment, the degree of fakeness (user-specific fakeness degree) to be displayed is shown by a bar graph, but it may be a rough three-level degree of fakeness (for example, three levels such as "Likely", "Caution Required", "Suspicious", etc.). In that case, since the identification of the degree of fakeness (user-specific fakeness degree) is at three levels, various identification means can be adopted.

[0120] For example, a frame line can be provided for the display information area or the target text, and identification can be achieved by the identification based on the frame line (such as the thickness of the frame line, the type of the frame line (dotted line, solid line, dashed line, etc.), the color of the frame line, etc.). Also, a background can be provided for the display information area or the target text, and identification can be achieved by the identification based on the background (such as the background color, the type of the texture pattern, etc.).

[0121] In this embodiment, information regarding the authenticity of the display information (display information from a WEB page or display information from an SNS) acquired via a network is obtained from an external server 615 via the network, and the degree of fakeness (information fakeness degree) is calculated. However, without relying on the external server 615, the degree of fakeness (information fakeness degree) can also be inferred and calculated by comprehensively judging past display information and accompanying information related to the display information (such as past degrees of fakeness, etc.) through the internal AI processing of the smartphone 1.

[0122] According to this embodiment, when displaying the degree of fakeness regarding display information, since personality information (ease of being deceived) regarding the individual user who handles the display information is taken into account for the degree of fakeness (information fakeness degree), an optimal degree of fakeness (user-specific fakeness degree) can be displayed for the user who views the display information.

[0123] Note that in this embodiment, as shown in FIG. 9, the user's personality is classified into three categories (three categories of "difficult to be deceived", "ordinary", and "easy to be deceived"), but the number of classifications is not limited to three and can be increased or decreased.

[0124] Also, when calculating the user-specific fakeness degree, it is calculated by multiplying with the fakeness degree-personality coefficient shown in FIG. 9, but it is not necessarily a multiplication operation, and weighting using statistical operations or the like may be performed.

[0125] <Second Embodiment> Hereinafter, the second embodiment of the present invention will be described. The basic hardware configuration of the second embodiment is the same as that of the first embodiment described above. Hereinafter, mainly the differences between this embodiment (the second embodiment) and the above-described embodiment (the first embodiment) will be described, and the common parts will be omitted as much as possible to avoid duplication.

[0126] In the above-described embodiment, as information about the user, the user's personality information regarding susceptibility to being deceived was targeted. However, in this embodiment, as information about the user, the user's physical information is targeted.

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

[0128] FIG. 11 is almost the same as the schematic diagram of FIG. 1, but a body measurement device 721 connected to the smartphone 1 by short-range wireless communication is added. The body measurement device 721 is a device that measures the physical state of the user 10 and is configured separately from the smartphone 1, corresponding to an external body measurement device.

[0129] Generally, it is said that when in an excited state, normal judgment is inhibited. In this embodiment, the excited state of the user is estimated based on the body information acquired from the body measurement device 721, and the degree of that excited state is reflected in the degree of fakeness and displayed.

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

[0131] The functional block diagram of FIG. 12 has functions overlapping 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] In this embodiment, the communication processing unit 12 is a function capable of transmitting and receiving information with an external device that performs short-range wireless communication by means of a short-range wireless communicator 63 (see FIG. 2). In this embodiment, it mainly receives body information from the body measurement device 721.

[0133] In recent years, body measurement devices 721 that perform short-range wireless communication such as Bluetooth (registered trademark) communication and NFC standard communication have become widespread, and various body information (blood pressure, body temperature, respiratory rate, heart rate, sweating amount, etc.) can be acquired. In this embodiment, body measurement devices 721 capable of such short-range wireless communication are used. Many of these body measurement devices 721 are referred to as wearable devices and are built into devices such as watch-type, bracelet-type, and types that are attached to the body.

[0134] The body measurement device detection unit 22 is a function of searching for a communicable body measurement device 721 by means of the short-range wireless communicator 63. By means of this body measurement device detection unit 22, the type and number of communicable body measurement devices 721 can be grasped.

[0135] The body measurement value acquisition unit 23 is a function of acquiring body measurement values from the body measurement device 721 detected by the body measurement device detection unit 22.

[0136] The average value calculation unit 24 is a function of calculating the average value of body measurement values. Since the above-mentioned various body information varies from person to person, the degree of excitement cannot be determined by comparing with an absolute numerical value. Therefore, by means of this average value calculation unit 24, the body measurement values acquired by the body measurement value acquisition unit 23 are compared with the daily body measurement values, and it is possible to judge how much they have increased or decreased based on the comparison result. Calculating the average value means calculating so-called normal body information.

[0137] In this embodiment, the body measurement values for two weeks (14 days) are averaged (moving average), and that value is used as the average value.

[0138] The timing of body measurement can be arbitrarily selected, such as at a fixed time every day, at fixed time intervals, or constantly.

[0139] If there are no body measurement values for two weeks, the missing body measurement values are filled in and the average value is calculated. In this embodiment, statistical standard values (of the same sex, the same age, and approximately the same build) are adopted as the body measurement values to be filled in.

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

[0141] The excitement state estimation unit 26 compares the body measurement values acquired by the body measurement value acquisition unit 23 with the average value of the body measurement values up to the previous day calculated by the average value calculation unit 24 to determine how much they have increased or decreased, and based on the result, estimates the excitement state. In this embodiment, it is classified into three levels ("normal", "somewhat excited", and "excited"). The excitement state information storage unit 27 has a function of storing the excitement state information indicating the excitement state (three levels) estimated by the excitement state estimation unit 26 in the non-volatile memory 42 of the storage 4.

[0142] The user individual fake degree coefficient calculation unit 20 has a function of calculating a coefficient (weighting) for the information fake degree obtained by the information fake degree calculation unit 16 using the excitement state information of the user stored by the excitement 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 fake degree (information fake degree) will be described later.

[0144] The display data output unit 21 has a function of displaying the display information stored in the non-volatile memory 42 of the storage 4 by the display information storage unit 14, the user individual fake degree that takes into account the user's body information in the information fake degree related to the display information, etc. on the display screen 711 of the smartphone 1.

[0145] (Processing procedure for fake degree display in this embodiment) FIG. 13 is a flowchart showing the processing procedure of the processing for performing fake degree display in this embodiment.

[0146] The flowchart in FIG. 13 has processes overlapping with the flowchart (FIG. 4) in the first embodiment, 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] For the description of the processing procedure in FIG. 13, reference will be made to the functional block diagram in FIG. 12 for the description.

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

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

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

[0151] For the description of the processing procedure in FIG. 14, reference will be made to the functional block diagram in FIG. 12 for the description.

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

[0153] Next, it is determined whether the body measurement device 721 has been detected (S463).

[0154] In the determination process of the presence or absence of a body measurement device (S463), if it is determined that there is no connectable body measurement device 721 (S463 / No), since body measurement values cannot be obtained, this body information acquisition process (S460) is terminated (S469).

[0155] In the determination process of the presence or absence of a body measurement device (S463), if it is determined that there is a connectable body measurement device 721 (S463 / Yes), the body measurement value is acquired from the connected body measurement device 721 by the body measurement value acquisition unit 23 (S464).

[0156] Next, the average value calculation unit 24 calculates the average value of the body measurement values stored by the body information storage unit 25 up to the previous day (S465).

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

[0158] Note that 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 value of the body measurement values is calculated.

[0159] Next, how much the body measurement value obtained in the body measurement value acquisition process (S464) has changed with respect to the average value of the body measurement values calculated in the average value calculation process (S465) is calculated as the change rate from the average value (S466).

[0160] Next, the current body measurement value obtained 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, for all the body measurement devices 721 detected in the body measurement device detection process (S462), it is determined whether all their body measurement values have been acquired (S468).

[0162] In all body measurement device end determination processes (S468), if it is determined that not all body measurement devices 721 have ended (S468 / No), connect to the unconnected body measurement device 721 and shift to the body measurement value acquisition process (S464).

[0163] In all body measurement device end determination processes (S468), if it is determined that all body measurement devices 721 have ended (S468 / Yes), since there are no unconnected body measurement devices 721, end this body information acquisition process (S460) (S469).

[0164] Here, return to the processing procedure of the fake degree display in FIG. 13 and continue the explanation.

[0165] Next to the body information acquisition process (S460), the excitement state estimation unit 26 performs the excitement state estimation process (S420).

[0166] Although the degree of influence on the excitement state varies depending on the measurement item of the body measurement, in this embodiment, weighting is performed on the measurement items of the body measurement by AI processing.

[0167] There are various estimation methods for estimating the excitement state, such as classification based on the range of body measurement values and classification based on the change rate of body measurement values with respect to the average value. In this embodiment, a classification method based on the change rate of body measurement values with respect to the average value is adopted.

[0168] Here, the case where the body measurement is the respiration rate will be described as an example. In the present embodiment, when the body measurement value is less than +10% of the average value, it is in a normal state; when the body measurement value is +10% or more and less than +30% of the average value, it is in a slightly excited state; when the body measurement value is +30% or more of the average value, it is in an excited state. For example, when the average respiration rate is 15 breaths per minute, if the body measurement value is less than 16.5 breaths per minute, it is in a normal state; if it is 16.5 breaths per minute or more and less than 19.5 breaths per minute, it is in a slightly excited state; if it is 19.5 breaths per minute or more, it is classified as an excited state. Of course, it goes without saying that the purpose of the present embodiment can also be achieved by a classification method other than this change rate. For example, there are a classification method based on the difference value between the average value and the body measurement value, a classification method considering the variation and fluctuation rate of the elements for calculating the average value, and the like.

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

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

[0171] The user-specific fake degree coefficient calculation process (S416) is a process of calculating a user-specific fake degree coefficient (fake degree body coefficient) based on the excitement state (three classifications) of the user stored in the excitement state storage process (S421).

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

[0173] FIG. 15 is a table (810) showing the user-specific fake degree coefficient (fake degree body coefficient) for the excitement state (three classifications).

[0174] The items (column 811) are composed of the excitement state classification (row 812) and the fake degree body coefficient (row 813).

[0175] The excitement state classification (row 812) indicates three classifications for the excitement state (normal state (column 841), slightly excited state (column 842), excited state (column 843)). Also, the fake degree body coefficient (row 813) indicates the user-specific fake degree coefficient (fake degree body coefficient) for the three classifications of the excitement state classification (row 812).

[0176] For example, when the user's excitement state is normal, it means that the user-specific fake degree coefficient (fake degree body coefficient) is 1.0.

[0177] Here, returning to the processing procedure of the fake degree display in FIG. 13, the explanation will continue.

[0178] Next to the user-specific fake degree coefficient calculation process (S416), a user-specific fake degree calculation process (S417) is performed.

[0179] The user-specific fake degree is the final fake degree displayed in the fake degree area 713 of the smartphone 1, and it is the fake degree that reflects the body information (excitement state).

[0180] The user-specific fake degree is calculated by the product of 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 : The user-specific fake degree for the information A of user n x A : The information fake degree of information A w 2n : The fake degree body coefficient (user-specific fake degree coefficient) of user n

[0181] For example, when the information faking degree is 50% and the excitement state is normal, the individual user faking degree is the product of the information faking degree (50%) and the faking degree physical coefficient (1.0), so it is 50% (50% × 1.0). Also, when the information faking degree is 50% and the excitement state is slightly excited, the individual user faking degree is the product of the information faking degree (50%) and the faking degree physical coefficient (1.5), so it is 75% (50% × 1.5).

[0182] Also in this embodiment, when the individual user faking degree, which is the product of the information faking degree and the faking degree physical coefficient, exceeds 100%, it is all set to 100% of the maximum value.

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

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

[0185] Also, when calculating the individual user faking degree, it is calculated by multiplying with the faking degree physical coefficient shown in FIG. 15, but it is not necessarily a multiplication operation, and weighting using statistical operations or the like may be performed.

[0186] In this embodiment, attention is paid to the breathing rate as physical information, but as physical information, it is also possible to detect the excitement state using other information such as blood pressure, body temperature, heart rate, and sweating amount, and it is also possible to more accurately detect the excitement state by combining a plurality of physical information.

[0187] In the above description, the physical measurement of the user is performed by the external physical measurement device 721, but when the physical measurement can be performed only by the smartphone 1, the measurement value can also be used.

[0188] For example, by irradiating the capillary vessels of a user's fingertip with the light of a light-emitting diode (LED) of a smartphone and analyzing the capillary vessel image of the user's fingertip with the camera function of the smartphone, the pulse rate, blood pressure, etc. can be measured.

[0189] According to this embodiment, when displaying the degree of fakeness regarding display information, since the physical information (excited state) regarding the individual user who handles the display information is taken into account with respect to the degree of fakeness, the optimal degree of fakeness (user-specific degree of fakeness) for the user who views the display information can be displayed.

[0190] <Third Embodiment> Hereinafter, the third embodiment of the present invention will be described. Note that the basic hardware configuration of the third embodiment is the same as that of the foregoing embodiments. Hereinafter, mainly the differences between this embodiment (the third embodiment) and the foregoing embodiments will be described, and the common parts will be omitted from description as much as possible to avoid duplication.

[0191] In the foregoing first embodiment, as information regarding the user, the personality information (easiness to be deceived) of the user was targeted. Also, in the foregoing second embodiment, as information regarding the user, the physical information (excited state) of the user was targeted.

[0192] In this embodiment, as information regarding the user, both the personality information (easiness to be deceived) of the user and the physical information (excited state) of the user are reflected in the degree of fakeness and displayed.

[0193] (Functional Blocks of this Embodiment) FIG. 16 is a functional block diagram showing an example of the 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 thereof will be omitted. Here, only the functions that require additional explanation in this embodiment will be described.

[0195] The user-specific fake degree coefficient calculation unit 20 calculates a coefficient (weighting) for the information fake degree obtained by the information fake degree calculation unit 16 by using the user's personality information stored by the personality information storage unit 19 and the user's excitement state information stored by the excitement state information storage unit 27. The coefficient (weighting) for the information fake degree calculated by this user-specific fake degree coefficient calculation unit 20 determines the fake degree to be displayed.

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

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

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

[0199] The user-specific fake degree coefficient calculation process (S416) is a process of calculating a user-specific fake degree coefficient based on the user's personality information (three classifications for susceptibility to being deceived) stored by the personality information storage process (S454) and the user's excitement state (three classifications) stored by the excitement state storage process (S421).

[0200] Here, the user-specific fake degree coefficient based on the personality information (three classifications of susceptibility to being deceived) and the physical information (three classifications of excitement state) will be described.

[0201] FIG. 18 is a table (820) showing the user-specific fake degree coefficients for the three classifications of susceptibility to being deceived and the three classifications of excitement state.

[0202] The item is composed of a personality classification (row 850) and an excitement state classification (column 860).

[0203] The personality classification (row 850) is a three - classification for susceptibility to being deceived (difficult to be deceived (column 851), ordinary (column 852), easy to be deceived (column 853)), and the excitement state classification (column 860) is a three - classification for the excitement state (normal state (row 861), slightly excited state (row 862), excited state (row 863)).

[0204] The user - specific fake degree coefficient that takes into account both the user's personality information (susceptibility to being deceived) 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 fake degree coefficient w 1n : Fake degree personality coefficient of user n w 2n : Fake degree physical coefficient of user n

[0205] For example, when the susceptibility to being deceived is ordinary (fake degree personality coefficient = 1.0) and the excitement state is normal (fake degree physical coefficient = 1.0), it means that the user - specific fake degree coefficient is 1.0 (the product of the fake degree personality coefficient = 1.0 and the fake degree physical coefficient = 1.0).

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

[0207] The user - specific fake degree is the final fake degree displayed in the fake degree area 713 of the smartphone 1, and it is the fake degree that reflects both the user's personality information (susceptibility to being deceived) and the user's physical information (excitement state).

[0208] The user-specific fake degree is calculated by the product of the information fake degree and the user-specific 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 : The user-specific fake degree for the information A of user n x A : The information fake degree of information A w 1n : The fake degree personality coefficient of user n w 2n : The fake degree physical coefficient of user n w 3n : The user-specific fake degree coefficient

[0209] For example, when the information fake degree is 50% and the user-specific fake degree coefficient is 1.0, the user-specific fake degree is the product of the information fake degree (50%) and the user-specific fake degree coefficient (1.0), so it is 50% (50% × 1.0).

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

[0211] Next, the user-specific fake degree calculated in the user-specific 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 terminated (S419).

[0212] Note that in this embodiment, as shown in FIG. 18, the user's personality is classified into three categories (three categories of "difficult to be deceived", "ordinary", and "easy to be deceived"), but the number of classifications is not limited to three and can be increased or decreased. Also, the user's excitement state is classified into three categories (three categories of "normal", "somewhat excited", and "excited"), but the number of classifications is not limited to three and can be increased or decreased.

[0213] Also, when calculating the individual user fake degree, it is calculated by multiplying with the individual user fake degree coefficient shown in FIG. 18, but it is not necessarily a multiplication operation, and weighting using statistical operations or the like may be performed.

[0214] According to the present embodiment, when displaying the fake degree related to the display information, both the personality information (easiness to be deceived) and the physical information (excited state) regarding the individual of the user who handles the display information are taken into account with respect to the fake degree. Therefore, it is possible to display the optimal fake degree (individual user fake degree) for the user who views the display information.

[0215] <Fourth Embodiment> Hereinafter, the fourth embodiment of the present invention will be described. Note that the basic hardware configuration of the fourth embodiment is the same as that of the foregoing embodiments. Hereinafter, the differences between the present embodiment (the fourth embodiment) and the foregoing embodiments will be mainly described, and the common parts will be omitted as much as possible to avoid duplication.

[0216] In the foregoing embodiments, the display information acquired via the Internet was targeted, but in this embodiment, a broadcast is received and the received broadcast content is targeted. In this embodiment, the information fake 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 broadcasting station that broadcast the audio information, the evaluation information for which the credibility of the audio information was evaluated and given, the time when the audio information was diffused via the public line, the speed at which the audio information was diffused via the public line, and the sentence expression included in the audio information may be used.

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

[0218] FIG. 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 such as a TV or radio and acquires audio information from a speaker 82 of the smartphone 1. The video information is, of course, displayed on the display screen 711 of the smartphone 1.

[0219] There is a possibility that the audio information acquired by the user 10 operating the smartphone 1 contains suspicious audio information among the received broadcast audio information. (In FIG. 19, it is described as "Fake information?").

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

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

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

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

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

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

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

[0227] The display data output unit 21 has a function of displaying on the display screen 711 of the smartphone 1 the character information stored by the voice-to-text data storage unit 30 and the degree of fakeness obtained by taking into account the user's personality information in the degree of information fakeness related to the character information.

[0228] (Processing procedure of fakeness display in this embodiment) FIG. 21 is a flowchart showing the processing procedure of the processing for performing fakeness display in this embodiment.

[0229] The flowchart of FIG. 21 has processing overlapping with the flowchart (FIG. 4) in the first embodiment, and the description of that processing is omitted. Here, only the newly added processing in this embodiment and the processing that requires additional explanation will be described.

[0230] The description of the processing procedure in FIG. 21 will be made with reference to the functional block diagram in FIG. 20.

[0231] In the flowchart of fakeness display in this embodiment (FIG. 4), instead of some of the processing in the aforementioned first embodiment, four pieces of processing (voice information acquisition processing (S422), voice-to-text conversion processing (S423), voice-to-text data storage processing (S424), voice-to-text data display processing (S425)) are added.

[0232] When the fakeness display processing is started (S411), the voice information acquisition unit 28 acquires voice information from the broadcast signal 616 (S422).

[0233] Next, the voice-to-text conversion unit 29 converts the voice information acquired in the voice information acquisition processing (S422) into character information (referred to as "voice-to-text data") (S423).

[0234] In this embodiment, the process of converting voice information into voice text data is performed using the voice analysis process of AI. Note that the voice analysis process by AI is, for example, the Siri in the iPhone (registered trademark) and the voice input technology provided by Google, such as the technology for recognizing the hot word "OK, Google".

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

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

[0237] In the case of television broadcasting, it is displayed on the display screen 711 by, for example, superimposing the voice text data on the television broadcast screen or splitting the screen into two.

[0238] The voice text data converted into character information can be handled in the same way as the display information in the first embodiment.

[0239] The following processes are the same as the processes for displaying the degree of fakeness in the first embodiment, so the description is omitted.

[0240] According to this embodiment, the effects of the present invention can also be obtained in the reception of broadcasts such as televisions and radios.

[0241] In this embodiment, the user's personality information (easiness to be deceived) is adopted as information about the user, but the user's physical information (excitement state) described in the above-mentioned second embodiment can also be adopted. Further, both the user's personality information (easiness to be deceived) and the user's physical information (excitement state) described in the above-mentioned third embodiment can be adopted.

[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, SNS 614, etc. obtained via the Internet 612 as a communication network. As a result, the effects of the present invention can also be obtained for voice information obtained via the Internet 612.

[0243] Also, if a character pattern can be extracted from still image information or moving image information and converted into character information, of course, the effects of the present invention can be obtained. For example, a TV not connected to the Internet 612 may be configured to receive a broadcast signal (broadcast radio wave), convert voice information into character information, and display a user individual fake degree and a warning message as a telop on the TV screen. In that case, the user's personality information may be accepted for setting operations on the TV, or the age (for example, a distinction such as whether a child or an adult) and gender of the viewer may be estimated from past viewed programs. For example, if the viewing time of children's programs is long, since the user (viewer) is likely to be a child, the user individual fake degree coefficient may be set to a value higher than the normal 1.0.

[0244] In the foregoing embodiment, the 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, for example, tablet computers, personal computer devices including notebook personal 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 added to the function of displaying original information, the on (effective) or off (ineffective) state of this fake degree display function should be selectable by the user. Therefore, it may be configured to be able to set the on (effective) or off (ineffective) state of the fake degree display function by means of an arbitrary operation input device such as the main processor 2, the storage 4, the touch sensor 91, and the operation keys 92 in FIG. 2. Furthermore, the individual user fake degree may be displayed not only together with the display information on the same display screen 711, but also the display information and the individual user fake degree may be displayed on each of a plurality of display screens 711, and the display screens 711 may be switched for display. Furthermore, even if the individual user fake degree is calculated and only the display information is displayed on the display screen 711, when an SNS or the like is activated on the smartphone 1 to transfer the display information, a display (which may be a pop-up display) for warning the transfer corresponding to the value of the individual user fake degree may be made.

[0246] As described above, the examples of the embodiments of the present invention have been described using the first to fourth embodiments. However, the configuration for realizing the technology of the present invention is not limited to the above embodiments, and various modifications can be considered. For example, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can also be added to the configuration of one embodiment. All of these belong to the scope of the present invention. Also, the numerical values, messages, etc. appearing in the text and drawings are merely examples, and using different ones will not impair the effects of the present invention.

[0247] Also, in the foregoing embodiments, the portable information terminal as the information display device has been described on the premise that one user uses it. However, it is also possible for a plurality of users to use one portable information terminal. In this case, the personality information, physical information, etc. of the users are specific to each user and need to be handled separately and independently.

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

[0249] Even when multiple users use a single mobile information terminal, the effects of the present invention can be obtained by these.

[0250] The functions, etc. of the present invention described above may be realized in hardware by designing some or all of them, for example, by using an integrated circuit. Also, they may be realized in software by a microprocessor unit, etc. interpreting and executing a program that realizes each function, etc. Hardware and software may be used in combination. The software may be stored in advance in the ROM 41, etc. of the smartphone 1 at the time of product shipment. After product shipment, it may be acquired from an external server 615, etc. on the Internet 612. Also, the software provided on a memory card, optical disk, etc. may be acquired.

[0251] Also, the control lines and information lines shown in the figure indicate those considered necessary for explanation, and do not necessarily show all the control lines and information lines on the product. In reality, it may be considered that almost all components are interconnected.

Explanation of Signs

[0252] 1: Smartphone 2: Main Processor 3: System Bus 4: Storage 10: User 11: Control Unit 12: Communication Processing Unit 13: Display Information Acquisition Unit 14: Display Information Storage Unit 15: Fake-Related Information Acquisition Unit 16: Information fake degree calculation unit 17: Information fake degree data storage unit 18: Personality information acquisition unit 19: Personality information storage unit 20: User individual fake degree coefficient calculation unit 21: Display data output unit 22: Body measurement device detection unit 23: Body measurement value acquisition unit 24: Average value calculation unit 25: Body information storage unit 26: Excitement state estimation unit 27: Excitement state information storage unit 28: Voice information acquisition unit 29: Voice text conversion unit 30: Voice text conversion data storage unit 41: ROM 42: Non-volatile memory 43: RAM 51: GPS receiver 52: Geomagnetic sensor group 53: Acceleration sensor group 54: Gyro sensor group 61: LAN communicator 62: Telephone network communicator 63: Short-range wireless communicator 64: Broadcast receiver 71: Display 72: In-camera 73: Out-camera 81: Microphone 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: Fake Degree Region 714: User-Specific Fake Degree 721: Body Measurement Device

Claims

1. A control method for an information processing device, comprising: The information processing device, connecting to and communicating with a network; receiving information and a degree of authenticity of the information; A step of calculating an individual fake degree based on an index indicating a user's tendency to judge credibility; A step of calculating an information-corrected fake degree by correcting the information fake degree based on the individual fake degree; a step of controlling to output a warning based on the information-corrected fake degree calculated for the information when the information is about to be transmitted; 10. A method for controlling an information processing device, comprising:

2. In the control method for an information processing device according to claim 1, the information processing device calculates an individual fake degree based on personality information including the user's gullibility; 2. A method for controlling an information processing apparatus comprising:

3. The control method for an information processing device according to claim 1, the information processing device calculates an individual fake degree based on physical information of the user; 2. A method for controlling an information processing apparatus comprising:

4. The control method for an information processing device according to claim 3, The information processing device further includes a step of performing proximity communication with an external body measurement device; calculating the individual fake power based on the physical information of the user measured by the external body measuring device; 2. A method for controlling an information processing apparatus comprising:

5. In the control method for an information processing device according to claim 4, the information processing device stores physical information of the user previously measured by the external body measurement device; the information processing device calculates the individual fake degree based on a comparison result between the physical information of the user previously measured by the external body measuring device and the physical information of the user currently measured by the external body measuring device; 2. A method for controlling an information processing apparatus comprising:

6. The control method for an information processing device according to claim 4, the information processing device calculates the individual fake degree based on both the physical information of the user measured by the external body measuring device and personality information of the user including gullibility; 2. A method for controlling an information processing apparatus comprising:

7. The control method for an information processing device according to claim 3, the information processing device estimates the user's excited state using at least one or any combination of the user's blood pressure, body temperature, respiratory rate, heart rate, and sweat rate as the user's physical information, and calculates the individual fake degree based on the estimation result; 2. A method for controlling an information processing apparatus comprising:

8. The control method for an information processing device according to claim 1, The information processing device displays the information and the individual fake power.

2. A method for controlling an information processing apparatus comprising:

9. The control method for an information processing device according to claim 1, As the characteristics related to the credibility derived from the information, at least one of the following or any combination thereof is used: the type of site on which the information is published, the author of the information, information on the publisher of the information, evaluation information given based on an evaluation of the credibility of the information, the time when the information was spread via a public line, the speed at which the information was spread via a public line, and sentence expressions included in the information.

2. A method for controlling an information processing apparatus comprising:

10. The control method for an information processing device according to claim 8, The information processing device transmits the information including the displayed information and the individual fake power level.

2. A method for controlling an information processing apparatus comprising:

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