JP2015127884A - Information processing apparatus, information processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device capable of utilizing action information, which is obtained in one application, in a plurality of applications.SOLUTION: An information processing device capable of executing two or more applications includes: action history storage means that obtains action information based on a user's action and stores it as action history; and application control means that controls the applications so as to make them operate on the basis of the action history.

Description

  The present invention relates to an information processing apparatus, an information processing method, and a program.

  In recent years, not only an information processing apparatus such as a personal computer (hereinafter referred to as “PC”) but also a TV has a function that allows a user to install various applications. When using each of these applications, the user makes settings for each application and customizes them for easy use.

  With respect to the above, Patent Document 1 acquires inventions that change operation history depending on characters encountered in a role-playing game, and select advertisement data relating to characters that have been met in the past, and preference information that represents user preferences and interests. And the advertisement data processing method which selects advertisement data according to the preference information is disclosed.

Japanese Patent No. 4647137

  According to the advertisement data processing method disclosed in Patent Literature 1, it is possible to perform a variety of advertisement data processing with high advertising effect, and there is a high possibility of attracting the user's interest that suits the user's preference. An advertisement can be displayed and the advertising effect can be enhanced.

  However, the advertisement data processing method disclosed in Patent Document 1 displays advertisement data corresponding to user behavior information in one application, and can divert user behavior information to a plurality of other applications. is not. In this case, when it is desired to automatically display content that matches the user's behavior in multiple different applications, the behavior information must be acquired separately for each of the multiple different applications, which complicates the processing. End up.

  The present invention has been made in view of such circumstances, and an object of the present invention is to provide an information processing apparatus that can utilize action information acquired in one application in a plurality of applications.

  In order to solve the above problems, an information processing apparatus according to the present invention is an information processing apparatus capable of executing two or more applications, and acquires action information resulting from a user's action and stores it as an action history. Means, and application control means for controlling the application so as to operate based on the action history.

  According to the present invention, action information acquired in one application can be used in a plurality of applications.

It is a control block diagram of the information processing apparatus in the embodiment of the present invention. It is a schematic diagram which shows an example of the information which the action history memory | storage part in embodiment of this invention acquires. It is a schematic diagram explaining the acquisition process of the behavior information based on the behavior history in the embodiment of the present invention. It is a schematic diagram explaining the preference score in embodiment of this invention. It is a schematic diagram explaining the content recommendation in embodiment of this invention. It is a schematic diagram explaining the application selection in embodiment of this invention. It is a flowchart explaining the information processing procedure in embodiment of this invention.

  An information processing apparatus according to an embodiment of the present invention will be described below with reference to the drawings. In addition, in each figure, the same code | symbol is attached | subjected to the part which is the same or it corresponds, The duplication description is simplified thru | or abbreviate | omitted suitably. The information processing apparatus according to the present embodiment is not limited to a personal computer (hereinafter referred to as “PC”), but is a predetermined information processing function such as the Internet in addition to a portable information terminal such as a smartphone, a mobile phone, and a PDA (Personal Digital Assistant). TV (hereinafter referred to as “TV”) having

  The hardware configuration of the information processing apparatus according to the present embodiment includes, for example, a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), a mass storage device such as a hard disk, and an external storage device such as a USB. Various interfaces that send and receive data to and from, input devices such as keyboards and mice, display devices such as displays, output devices that output sound from microphones and light from LED lighting, sensing the environment outside the device And a communication tuner for establishing communication with a network such as the Internet.

  First, the control block of the information processing apparatus in the present embodiment will be described below with reference to FIG. The information processing apparatus in the present embodiment includes an action history storage unit 11, a content acquisition unit 12, and an application control unit 13 as control blocks. The application control unit 13 includes a recommended content selection unit 131 and an application activation unit 132. The input device 40 is an input device for inputting data to an information processing device such as a mouse or a keyboard. The external device 50 includes a sensor that senses a user. Examples of the sensor include a human sensor that detects the user by radio waves such as infrared rays and ultrasonic waves, a frame sensor that recognizes the user by shooting, and a collection sensor that recognizes the user by collecting sounds emitted by the user. Sound microphones are included. Sensing data of a user sensed by various sensors is output to the behavior history storage unit 11 as a sensor output value (a behavior history described later) by the external device 50.

  The behavior history storage unit 11 acquires behavior information resulting from user behavior and stores it as behavior history. The action history includes, for example, an operation history of an operation performed on the application performed by the user to operate the application and a sensor output value acquired from an external device having a sensor for sensing the user. The operation history includes input data input by a user operation on the application. The action history storage unit 11 collects and organizes user action histories for two or more applications, for example. User action information to be acquired includes device action information and device action information. Further, for example, the device action information is acquired by the input device 40, and the external device action information is acquired by the external device 50. Details of the device action information and the device action information will be described later.

  The content acquisition unit 12 acquires two or more contents from the broadcast station 20 by broadcast waves and from the Internet 30 via a network. The content acquired by the content acquisition unit 12 is, for example, television program content received from the broadcasting station 20, web content acquired from the Internet 30, or the like.

  The application control unit 13 is an application control unit that controls the application to operate based on the action history. The application control unit 13 includes a recommended content selection unit 131 and an application activation unit 132. The recommended content selection unit 131 selects recommended content from two or more contents acquired by the content acquisition unit 12 based on the user behavior information acquired by the behavior history storage unit 11. In addition, the application activation unit 132 selects and activates an application that outputs the recommended content selected by the recommended content selection unit 131 from two or more applications. Details of these will be described later.

  If there is a running application that is already activated among the two or more applications, the application activation unit 132 activates the application that outputs the selected recommended content instead of the activated application. For example, when the TV viewing application is being activated, the activation of the TV viewing application being activated is terminated, and the shopping site is activated without particular awareness. Thereby, the load on the apparatus can be reduced.

  In addition, when there is an active application that is already active among two or more applications, the application activation unit 132 activates an application that outputs the recommended content selected simultaneously with the activation of the active application. For example, in the above-described example, the shopping site is activated while the TV viewing application is activated. Thereby, while watching the television, the shopping site can be activated without being particularly conscious, and for example, an item of interest shown in a TV drama or the like can be purchased at the shopping site.

  Next, details of the device action information 110 and the device action information 111 as user action information acquired by the action history storage unit 11 of the present embodiment will be described with reference to FIG.

  The device action information 110 is information for identifying a user's action on an information processing apparatus such as a PC (hereinafter simply referred to as “apparatus”), and is, for example, user operation information input by the input device 40 described above. is there. Further, the behavior information outside the device is information for specifying the behavior information of the user outside the device, for example, a sensor output value output from the external device 50 described above.

  The device action information 110 includes, for example, operation history information 1101 for a user's device and user browsing history information 1102 for a predetermined content acquired by the content acquisition unit 12. Among these, the operation history information 1101 includes, for example, an operation log obtained by the user via the input device 40 with respect to a PC or the like, and a channel switching operation log obtained via a remote controller or the like as the input device 40 when watching TV. The browsing history information 1102 includes, for example, TV viewing history information by a user and content browsing history information on a website.

  The TV viewing history information and the content browsing history information are not limited to attribute information such as the viewing date and time and the genre of the viewed TV program, but may be video information itself obtained by recording the viewed TV program. . These television viewing history information and content browsing history information are stored and accumulated in, for example, the large-capacity storage device described above.

  The external device behavior information 111 includes user status information measured by a predetermined sensor of the external device 50 and user-related information 1115 input by a predetermined input unit.

  Examples of user status information measured by a predetermined sensor include position information 1111, image information 1112, audio information 1113, and sensing information 1114.

  The location information 1111 includes, for example, the location of a user who has a portable information terminal equipped with a GPS (Global Positioning System) function, location information measured using the GPS, and Wi-Fi (registered trademark) function. This refers to location information that has been measured and utilized. The positional information measured using the Wi-Fi (registered trademark) function refers to the SSID (Service Set identifier) acquired from the access points existing around the information processing apparatus, the electric field strength, and the like sent to a map database server or the like. , Position information acquired from the database. Further, the position information may be grasped from the use history when using electronic money.

  The image information 1112 refers to a captured image of the user when the user is photographed as a subject with a video camera or the like, for example. For example, it is used for identifying a user by analyzing a captured image by image recognition.

  The voice information 1113 refers to voice information obtained by recording voice uttered by a user or the like with a sound collecting microphone or the like. For example, it is used for identifying a user by analyzing a recorded voice by voice recognition.

  The sensing information 1114 refers to sensing information when a user is sensed by an infrared sensor or the like, for example.

  The user-related information 1115 refers to, for example, information obtained as a result of a questionnaire survey on written contents and schedules written using a scheduler, e-mail, SNS, and the like, and various information related to users. This is input as predetermined input means, for example, with a keyboard, or a questionnaire sheet is read and input with a scanner or the like.

  Next, the above-described various behavior information acquisition processing by the behavior history storage unit 11 will be described with reference to FIG. Note that what is described here is an exemplification, and it goes without saying that the present invention is not limited thereto.

  Here, a process of acquiring behavior information from “TV application operation history”, “Web operation history”, and “external information” as the behavior history will be described. “TV application operation history” includes, for example, “power ON / OFF” operation, “recording reservation” operation, “zapping” operation, and the like. “Web operation history” includes, for example, “SNS write” operation, “schedule input” operation, “mail” operation, “Web search” operation, and the like. “External device information” includes, for example, “electronic money information” in addition to “sensing information”, “voice information”, and “image information” described above. The behavior history storage unit 11 predicts and determines user behavior information based on these behavior histories.

  For example, when the “power ON” operation is performed in the TV application, “watching TV now” is written by the SNS, and the user is detected by a sensor installed near the home TV, the behavior history storage unit 11 stores the behavior information as behavior information. Predict / decide as “watching TV at home”. In addition, as described above, the action history storage unit 11 may predict / determine from all these action histories, or may predict / determine from any one action history by setting.

  In addition, for example, when the “recording reservation” operation is performed in the TV application, the “scheduled going out” is written in the schedule, and the behavior history storage unit 11 detects the “going out” by GPS, a sensor, or the like. As “going out”.

  Furthermore, the action history storage unit 11 detects, for example, that a map application is used, electronic money is used in public transportation, and the user is “moving” in public transportation or the like by GPS or a sensor. The behavior information is predicted / determined as “moving”.

  And the action history memory | storage part 11 arranges and memorize | stores the action information acquired as mentioned above for every predetermined time slot | zone.

  As described above, according to the present embodiment, for example, the behavior information is aggregated and organized based on the behavior history acquired by different applications such as TV application, Web, and GPS, so that the centralized management is performed. There is no need to re-acquire action information one by one.

  Next, details of the recommended content selection unit 131 will be described with reference to FIGS. As described above, the recommended content selection unit 131 selects the recommended content from the two or more content acquired by the content acquisition unit 12 based on the user behavior information acquired by the behavior history storage unit 11.

  The recommended content is content having high point information added when the attribute information included in each of two or more pieces of content acquired by the content acquisition unit 12 is attribute information preferred by the user. For example, as shown in FIG. 4, when the content name (program name) of the acquired content is “Nighter relay”, the genre as the attribute information is sports. At this time, for example, in the above-described questionnaire, when the genre of the program that the user likes is sports, points are added as preference points, and are stored in association with the genre as point information.

  As shown in FIG. 4, when the content name (program name) of the acquired content is “NKB36 concert”, the artist name as the attribute information is NKB36. At this time, for example, in the above-described questionnaire, when the artist preferred by the user is NKB 36, points are added as preference points, and are stored in association with artist names as point information.

  Then, as shown in FIG. 5, for example, when the score information for each genre of content is graphed, content belonging to a genre having score information equal to or higher than a predetermined threshold indicated by a broken line is set as a recommended content. Here, since the score information of the sport exceeds the threshold value, the sport program (content) is recommended content. In addition, not only a genre but a recommendation content may be determined by the point information based on the content name (program name), for example.

  Further, for example, the recommended content may be determined based on point information based on the product. Specifically, if the preference score of home appliances is high, a shopping site dedicated to home appliances may be recommended, or if the preference score of food is high, a shopping site dedicated to food products may be recommended.

  In addition, regarding the above-described preference distribution, for example, in the case where the TV has just been purchased and the TV has not yet learned the user's preference information, for example, the survey result obtained by investigating the user's preference in advance with the above-described questionnaire sheet is used. It is good also as setting a preference score based on it.

  In addition to the acquired user behavior information, the recommended content selection unit 131 selects an optimal recommended content from two or more recommended content according to time zone information included in the user behavior information. A specific example of the process of selecting the recommended content according to the time zone information will be described with reference to FIG. In the following example, hour and minute are used as time zone information, but instead of this, a date or a day of the week may be used.

  FIG. 6 shows, for example, a daily user's behavior pattern for each specific time zone. This user watches a news program from 6:00 to 7:00, is commuting from 7 to 8:00, is working from 9 to 18:00, is home from 18 to 19:00, and is from 19:00 to 20:00 It is during dinner, watching movies at 20-22, and searching the internet at 22-23.

  For example, this user views a news program at 6-7 o'clock, and this is used for selecting recommended content using this time zone as part of the user's behavior information. For example, when this user goes in front of the television at 6-7 o'clock the next day, an infrared sensor installed on the television senses the user and automatically activates the television, and a news program is displayed with the activation. That is, in this case, the user's sensing information is used as out-of-device behavior information to sense the presence of the user in front of the TV, and when there are two or more recommended programs, the time zone is based on the time zone information. The program that the user likes to watch is selected.

  In addition, during commuting from 7 to 8 o'clock, for example, when the user is commuting by train, the GPS is used to determine that the user is on the train route, and an application corresponding to the English learning content that the user likes is automatically provided. to start. In this case, GPS positioning information is used as out-of-device action information. That is, the user's current position (for example, on the train route) is grasped based on the GPS positioning information, and the English learning content that the user preferably uses at 7-8 o'clock (commuting) in this case. Is selected from two or more recommended contents, and an application corresponding to the selected content is started.

  Further, during work from 9:00 to 18:00, it is determined that the user is working based on schedule information managed by the apparatus, and for example, a user-preference variety program broadcast at noon is automatically recorded. In this case, user-related information is used as out-of-device action information.

  Further, while watching a movie from 20 to 22:00, it is determined by image recognition that a user-preferred product appears in one scene of a movie viewed by the user, and a shopping site where the product can be purchased is activated. In this case, the image information in the browsing history information that is the device action information is used.

  Note that, for example, audio information may be used instead of the image information. Specifically, in a movie scene, the speech of a performer is determined by voice recognition, and if the determined voice includes a product name of user preference, a shopping site where this product can be purchased as described above Start up.

  In addition to the above, in the present embodiment, it is also possible to automatically start an application that combines out-of-device action information and in-device action information. Specifically, in the case of the above-mentioned train commuting, it is determined that the user is on the train route using GPS positioning information as the off-device behavior information, and further, for example, the user's device in the time zone during commuting As behavior information, for example, when an operation log for starting an application corresponding to an English learning content stored therein is accumulated when the device is a smartphone, processing for automatically starting the English learning application is possible. is there.

  Next, the processing procedure of this embodiment described above will be described with reference to the flowchart of FIG. First, the information processing apparatus according to the present embodiment acquires a user's action history (to-apparatus action information / outside apparatus action information) by each application in the action history storage unit 11 (step S1).

  Further, the content acquisition unit 12 acquires broadcast program content from the broadcast station 20, or acquires web content or the like via a network through the Internet (step S2).

  Next, the content selection unit 131 selects a recommendation target content from the acquired contents based on the above-described user behavior history (step S3). Details on the determination of the content to be recommended have been described above, and will be omitted.

  Then, the application activation unit 132 selects an application for outputting the recommendation target content from a plurality of applications stored in the storage unit in the apparatus, and activates the application (step S4).

  Then, the selected recommendation target content in the started application is output (step S5).

  As described above, according to the present embodiment, the action information including the off-device action information is reflected in each installed application beyond the boundaries of each application, so that the setting by the user's manual input becomes unnecessary. Since each application automatically performs an operation based on behavior information, it is possible to eliminate the trouble of inputting information for acquiring information required for data processing and to provide information requested by the user with high accuracy.

  As described above, according to the present embodiment, behavior information is acquired based on the behavior history acquired for each of a plurality of applications, and data is unified so that it can be shared by a plurality of applications. The behavior information acquired in one application can be utilized across a plurality of applications.

  Each of the above-described embodiments is a preferred embodiment of the present invention, and various modifications can be made without departing from the scope of the present invention. For example, the above function can be realized by a computer-executable program written in a programming language such as an assembler or C language.

DESCRIPTION OF SYMBOLS 11 Action history memory | storage part 12 Content acquisition part 13 Application control part 20 Broadcasting station 30 Internet 40 Input device 50 External apparatus 110 Device-to-device action information 111 Outside-device action information 131 Recommended content selection part 132 Application starting part 1101 Operation history information 1102 Browsing history Information 1111 Position information 1112 Image information 1113 Audio information 1114 Sensing information 1115 User related information

Claims (7)

An information processing apparatus capable of executing two or more applications,
Behavior history storage means for acquiring behavior information resulting from user behavior and storing it as behavior history;
Application control means for controlling the application to operate based on the behavior history;
An information processing apparatus comprising:   The information processing apparatus according to claim 1, wherein the action history includes an operation history of an operation on the application performed by a user to operate the application.   The information processing apparatus according to claim 2, wherein the action history includes input data input by a user operation on the application.   4. The information processing apparatus according to claim 1, wherein the action history includes a sensor output value acquired from an external device having a sensor for sensing a user. 5.   The information processing apparatus according to any one of claims 1 to 4, wherein the action history storage unit organizes and stores the action history for each predetermined time zone. An information processing method for an information processing apparatus capable of executing two or more applications,
Action information resulting from the user's action is acquired and stored as action history in the storage unit,
An information processing method comprising controlling the application to operate based on the action history. A program for causing a computer to execute two or more applications,
Acquiring action information resulting from the user's action and storing it in the storage unit as an action history;
Controlling the application to operate based on the behavior history;
A program that causes a computer to execute.

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