WO2015056482A1 - Information processing device, storage medium, and control method - Google Patents

Abstract

[Problem] To provide an information processing device, a storage medium, and a control method, with which the relationship between a plurality of applications can be estimated. [Solution] This information processing device is provided with: an input unit which receives an operation input from an external unit; a system processing unit which outputs an event to a plurality of specific applications in accordance with an input signal received by the input unit; an application processing unit which executes, in accordance with the event outputted from the system processing unit, processing related to the plurality of applications; and an estimation unit which estimates a relationship between each of the plurality of applications in accordance with the event.

Description

Information processing apparatus, storage medium, and control method

This disclosure relates to an information processing device, a storage medium, and a control method.

Usually, in a PC (personal computer), a so-called multi-window display in which a plurality of windows are displayed in a superimposed manner is put into practical use. For example, when the first window and the second window are partially overlapped and displayed on the display screen, if the first window is selected, the first window is displayed preferentially (front), and the second window This window is in a state where a portion that does not overlap with the first window is visible. On the other hand, when the second window is selected, the second window is displayed preferentially (in front), and a part of the first window is hidden by the second window. The user can perform work while viewing a plurality of windows alternately.

Regarding such multi-window display control, Patent Document 1 below proposes a method of simultaneously displaying a plurality of windows. Specifically, the display information of the two windows is displayed in a portion where the first and second windows overlap so that the display information of the rear window is lighter than the display information of the front window. Yes.

Japanese Patent Laid-Open No. 8-123365

However, the above-mentioned Patent Document 1 is a technique related to a multi-window display method and management, and does not mention anything about estimating the relationship between the windows.

Therefore, the present disclosure proposes an information processing apparatus, a storage medium, and a control method that can estimate the relationship between a plurality of applications.

According to the present disclosure, an input unit that receives an operation input from the outside, a system processing unit that outputs an event to a plurality of specific applications according to an input signal received by the input unit, and an output from the system processing unit Proposed is an information processing apparatus comprising: an application processing unit that executes processing of a plurality of applications according to an event; and an estimation unit that estimates a mutual relationship between the plurality of applications according to the event .

According to the present disclosure, the computer includes an input unit that receives an operation input from the outside, a system processing unit that outputs an event to a plurality of specific applications according to an input signal received by the input unit, and the system processing unit A program that functions as an application processing unit that executes processing of a plurality of applications in response to an event output from and an estimation unit that estimates a mutual relationship between the plurality of applications in accordance with the event is stored. Proposed storage media.

According to the present disclosure, a step of receiving an operation input from the outside, a step of outputting an event to a plurality of specific applications according to the received input signal, and a process of the plurality of applications according to the output event And a step of estimating a mutual relationship between the plurality of applications in response to the event.

As described above, according to the present disclosure, it is possible to estimate the relationship between a plurality of applications.

Note that the above effects are not necessarily limited, and any of the effects shown in the present specification, or other effects that can be grasped from the present specification, together with or in place of the above effects. May be played.

It is a figure for demonstrating the outline | summary of the relationship estimation system by one Embodiment of this indication. It is a figure which shows the basic composition of the information processing apparatus and server by this embodiment. It is a figure which shows an example of the dynamic element score table used when calculating the dynamic element point by this embodiment. It is a figure which shows an example of the static element stipulation table used when calculating the static element point by this embodiment. It is a figure which shows an example of the calculation table of the data value non-input state memorize | stored in the estimation result memory | storage part by this embodiment. It is a flowchart which shows the event classification judgment process of the relationship estimation system by this embodiment. It is a flowchart which shows the static and dynamic element analysis process at the time of the display start event generation by this embodiment. It is a flowchart which shows the analysis process of the static element by this embodiment. It is a figure which shows an example of the objective table by this embodiment. It is a figure which shows an example of the display screen on which the window which can be text mined is displayed. It is a figure which shows the total result of the word extracted by text mining. It is a flowchart which shows the dynamic element analysis process at the time of window position change event generation by this embodiment. It is a flowchart which shows the dynamic element analysis process at the time of the display area change event of the window by this embodiment. It is a flowchart which shows the dynamic element analysis process at the time of the operating body movement event by this embodiment. It is a flowchart which shows the dynamic element analysis process at the time of the eyes | visual_axis movement event by this embodiment. It is a flowchart which shows the dynamic element analysis process at the time of the display end event generation by this embodiment. It is a screen transition figure until it displays a 1st purchase site. It is a screen transition diagram until a 2nd purchase site is displayed and compared. It is a screen transition diagram until a purchase site to be used is determined and purchase processing is completed. It is a figure which shows an example of the calculation table utilized by the estimation process at the time of using a some web site. It is a screen transition diagram until a traffic search site is displayed. It is a screen transition figure until it displays a traffic search application and similarly starts a traffic search. It is a screen transition diagram until the application to be used is determined and the traffic search process ends. It is a figure which shows an example of the calculation table utilized by the estimation process at the time of utilizing a website and a dedicated application. It is a figure for demonstrating the case where a low-relevance Web site and a dedicated application are used. It is a screen transition diagram for demonstrating the case where the same application is divided and displayed. It is a figure for demonstrating the case where the several news site is browsed side by side. It is a figure for demonstrating the case where the some web site from which the objective differs is browsed side by side. It is a figure for demonstrating the case where two Web sites of the same group company are browsed side by side.

Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In addition, in this specification and drawing, about the component which has the substantially same function structure, duplication description is abbreviate | omitted by attaching | subjecting the same code | symbol.

The description will be made in the following order.
1. 1. Overview of relationship estimation system according to an embodiment of the present disclosure Basic configuration 2-1. Configuration of information processing apparatus 2-2. 2. Server configuration Operation processing 3-1. Static / dynamic element analysis processing at display start event 3-2. Dynamic element analysis processing at window position change event 3-3. Dynamic element analysis processing at window display area change event 3-4. Dynamic element analysis processing at operation object movement event 3-5. Dynamic element analysis process during eye movement event 3-6. 3. Dynamic element analysis processing at display end event Example of estimation process 4-1. Estimation process when two websites are used 4-2. Estimating process when using website and dedicated application 4-3. Estimation process when the same application is divided and displayed 4-4. 4. Stabilization of estimation processing Summary

<< 1. Overview of Relationship Estimation System According to One Embodiment of Present Disclosure >>
First, an overview of a relationship estimation system according to an embodiment of the present disclosure will be described with reference to FIG. As shown in FIG. 1, the relationship estimation system according to the present embodiment includes an information processing device 1 and a server 2. The information processing apparatus 1 is connected to the server 2 via the network 3. The information processing apparatus 1 does not necessarily have to go through the network 3 and may be directly connected to the server 2 by wireless / wired.

In addition, the information processing apparatus 1 includes a display unit (an example of the output unit 14) and a keyboard (an example of the input unit 11). In the display unit, a plurality of applications are executed, and multi-window display is performed. For example, the user can display a plurality of Web browsers and perform comparison while browsing a plurality of shopping sites simultaneously.

(background)
Here, the technique conventionally proposed regarding the display of the multi-window relates to the display method and management of the multi-window, and there is no mention of estimating the relationship between the windows.

However, if it is possible to analyze what applications the user is using at the same time and estimate the relationship between multiple applications, it is possible to grasp potential needs.

Therefore, in this embodiment, a relationship estimation system for estimating the relationship between a plurality of applications is proposed.

Heretofore, an overview of the relationship estimation system according to an embodiment of the present disclosure has been described. Next, configurations of the information processing apparatus 1 and the server 2 included in the relationship estimation system according to the present disclosure will be described with reference to FIG.

<< 2. Basic configuration >>
FIG. 2 is a diagram illustrating a basic configuration of the information processing apparatus 1 and the server 2 according to the present embodiment. Hereinafter, the basic configurations of the information processing apparatus 1 and the server 2 will be sequentially described.

<2-1. Configuration of information processing apparatus>
As shown in FIG. 2, the information processing apparatus 1 includes an input unit 11, a system processing unit 12, an application processing unit 13, an output unit 14, an estimation processing unit 15, an estimation result storage unit 16, a score table storage unit 17, and a communication. Part 18.

(Input section)
The input unit 11 has a function of receiving an operation input from the outside. The input unit 11 is realized by an operation input unit having a physical structure such as a keyboard, a button, and a switch, a touch panel that detects contact / proximity, and a pointing device such as a mouse and a track pad. The input unit 11 also includes a camera capable of detecting a line of sight (line of sight detecting unit) and a microphone capable of collecting sound.

The input unit 11 outputs the received input information (input signal) to the system processing unit 12.

(System processing part)
The system processing unit 12 controls multi-window drawing based on input information (input signal) output from the input unit 11 (display control), and outputs (distributes) an event to a plurality of specific applications. To do. The function of the system processing unit 12 can be realized by a control layer of a general OS (Operating System).

Further, the system processing unit 12 according to the present embodiment also distributes the event distributed to the application processing unit 13 to the estimation processing unit 15. The event includes window operations (window generation, window selection, window position change, window display area change, window end, etc.). The distribution of the window operation to the estimation processing unit 15 may be performed from the system processing unit 12 as illustrated in FIG. 2 or may be performed by the application processing unit 13 described later.

(Application processing part)
The application processing unit 13 executes processing of a plurality of applications according to the event output from the system processing unit 12. The plurality of applications include an application for processing locally recorded content and an application for processing content obtained from the outside. An example of an application that processes content obtained from the outside is a Web browser. The Web browser is software that is used when browsing websites and blog sites on the Internet, downloads HTML files, image files, music files, and the like from the Internet, analyzes the layout, and displays / reproduces them.

In addition, the application processing unit 13 outputs the processing result of the executed application by the output unit 14.

(Output part)
The output unit 14 has a function of presenting the processing result by the application processing unit 13 to the user. Specifically, the output unit 14 performs display output, audio output, projection output, and the like. The display output is realized by a display device such as a liquid crystal display (LCD) device and an OLED (Organic Light Emitting Diode) device.

(Estimation processing unit)
The estimation processing unit 15 performs a process of estimating a mutual relationship between a plurality of applications according to an event for the application. Specifically, as illustrated in FIG. 2, the estimation processing unit 15 functions as a dynamic element analysis unit 151, a static element analysis unit 152, and a competition point calculation unit 153, thereby allowing a plurality of applications to communicate with each other. It is possible to estimate the relationship (competitive relationship / coexistence relationship).

The dynamic element analysis unit 151 analyzes a dynamic element of a plurality of applications based on an event for the application. In this specification, a dynamic element is an element that can change dynamically based on a window operation by a user. The window operation is, for example, an operation for performing window generation (display start), window selection (operation object / line-of-sight movement), window position change, window display area change, window end (display end), and the like. Specifically, for example, a click operation, a cursor (an example of an operation body) movement operation, a drag and drop operation, a pinch-in / pinch-out operation, and the like are performed. The elements that can be dynamically changed include time parameters such as the window operation time, the display time, and the attention time in addition to the window change described above. The window operation time is measured based on a click operation, scroll operation, flick operation, or the like on the window. The window display time is measured from the time when the display start event occurs until the time when the display end event occurs. Further, as the parallel time of windows, the time during which the first window and the second window are displayed in parallel in time (at the same time) can also be measured. The attention time of the window can be measured when the user's line of sight faces the window.

The dynamic element analysis unit 151 analyzes dynamic elements of a plurality of applications and calculates dynamic element points. Here, FIG. 3 shows an example of a dynamic element scoring table used when calculating dynamic element points. The dynamic element score table 171 is stored in the score table storage unit 17.

In the dynamic element scoring table 171 shown in FIG. 3, the second window (other window) to be compared with the first window (own window) among the plurality of windows corresponding to the plurality of applications being executed. The higher the competitiveness, the higher the element points. The allocation of each dynamic element point will be described in detail in the dynamic element allocation operation process described later. Each element point and analysis content shown in FIG. 3 are examples, and are not necessarily limited to the example shown in FIG.

The static element analysis unit 152 analyzes static elements of a plurality of applications based on events for the applications. In this specification, a static element is an element that cannot be changed by a user operation. The static element analysis unit 152 analyzes static elements of a plurality of applications and calculates static element points (basic points). FIG. 4 shows an example of a static element stipulation table used when calculating static element points. The static element score table 172 is stored in the score table storage unit 17.

In the static element scoring table 172 shown in FIG. 4, among the plurality of windows corresponding to the plurality of applications being executed, there is a conflict with the second window (other window) to be compared with the first window (own window). The higher the property, the higher the element points. The allocation of each static element point will be described in detail in the static element allocation operation process described later. The element points and analysis contents shown in FIG. 4 are examples, and are not necessarily limited to the contents shown in FIG.

The competition point calculation unit 153 calculates a competition point between a plurality of applications (windows) based on the dynamic element points calculated by the dynamic element analysis unit 151 and the static element analysis unit 152 and the static element points. . For example, the competitive point calculation unit 153 calculates a competitive point by multiplying all static element points and dynamic element points. In the present embodiment, the higher the competitive point, the higher the competitiveness.

As described above, the estimation processing unit 15 functions as the dynamic element analysis unit 151, the static element analysis unit 152, and the competition point calculation unit 153, so that a relationship between a plurality of applications (here, a competition relationship is taken as an example). ) Can be estimated. The estimation processing unit 15 stores the estimation result in the estimation result storage unit 16. Further, the estimation processing unit 15 may store, in addition to the competition points, static element points, dynamic element points, user operation history, and the like as estimation results in the estimation result storage unit 16. The timing for storing the static element points, dynamic element points, user operation history, and the like in the estimation result storage unit 16 is not particularly limited. For example, each analysis unit (dynamic element analysis unit 151, static element analysis unit) 152) may be stored at any time when analyzed.

(Estimation result storage unit)
The estimation result storage unit 16 accumulates the relationship between the plurality of applications estimated by the estimation processing unit 15 as a log for each application. Here, FIG. 5 shows an example of the calculation table 161 of the data value non-input state accumulated in the estimation result storage unit 16. As shown in FIG. 5, the calculation table 161 includes a first window (own window), a display start / end time, an activation source (launcher / parent window), a comparison target window and its parallel time, a static element point, Dynamic element points and competitive points are recorded and registered. In the scoring table 161 shown in FIG. 5, there are eight dynamic element point input fields. However, this is an example, and the input of dynamic element points is not limited to eight. Can be input sequentially.

Based on the estimation results, each company grasps other applications that are used in parallel with their own sites (web sites browsed by web browser applications) and dedicated applications (dedicated programs such as games, communication, and navigation). Can do. Specifically, each company must know what website and dedicated application it is used with, and how competitive it is, and use it for improvement and marketing of the website and dedicated application. Can do. The estimation result stored in the estimation result storage unit 16 is transmitted to the server 2 periodically / irregularly, and each company can obtain the estimation result by accessing the server 2. Further, the estimation processing unit 15 may transmit the estimation result to the immediate server 2.

(Scoring table storage)
The score table storage unit 17 is used when a static element is analyzed by the static element analysis unit 152 and when a dynamic element is analyzed by the dynamic element analysis unit 151. A dynamic element scoring table to be stored. The information processing apparatus 1 may periodically / irregularly acquire the latest static element / dynamic element score table from the server 2 and update the data in the score table storage unit 17 or statically. At the time of element analysis and dynamic element analysis, a static element / dynamic element score table may be acquired from the server 2.

(Communication Department)
The communication unit 18 has a function of connecting to an external device by wireless / wired and transmitting / receiving data. For example, the communication unit 18 can be connected to a wireless AP (access point) via a wireless LAN, infrared rays, Wi-Fi (registered trademark), and the like, and can be connected to a network via the wireless AP. And the communication part 18 can acquire the program etc. which comprise the software for performing the objective table data mentioned later, a white / black list, and a series of processes by this embodiment from the server 2 on a network. .

The configuration of the information processing apparatus 1 according to the present embodiment has been specifically described above. The information processing apparatus 1 includes a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a non-volatile memory, and an interface unit. The The RAM is used as a work area for the CPU. In addition, a program for the CPU to execute each process (specifically, each process by the system processing unit 12, the application processing unit 13, and the estimation processing unit 15) is written in the ROM.

<2-2. Server configuration>
As shown in FIG. 2, the server 2 includes a communication unit 21, a purpose table storage unit 22, and a white / black list storage unit 23.

The communication unit 21 is connected to the information processing apparatus 1 to transmit and receive data.

The purpose table storage unit 22 stores a purpose table for each application that is used as necessary when the static element analysis unit 152 analyzes static elements. The purpose table will be described later with reference to FIG.

The white / black list storage unit 23 stores a white / black list for each application used as necessary when the static element analysis unit 152 analyzes static elements. The white list is a table listing dedicated applications and Web sites that are unconditionally excluded from the competition targets for a predetermined application. As a result, for example, websites and dedicated applications of a parent company, a subsidiary, a group company, etc. can be excluded from competing targets.

In addition, the black list is a table listing dedicated applications and websites that are unconditionally regarded as competing targets for a given application. As a result, for example, websites and dedicated applications of other companies in the same industry can always be handled as competing targets. Specifically, when it is obvious that two EC (Electronic Commerce) sites are in a competitive relationship, a text mining process (see FIG. 10 and FIG. 11) described later is performed according to the contents of the EC site. The static element point goes up and down depending on the sales contents. However, by using a black list, it is possible to give a fixed point to a static element point.

As described above, by using the white / black list, the static element can be analyzed more accurately.

The configuration of the server 2 according to the present embodiment has been described above. The server 2 is configured by a microcomputer including a CPU, ROM, RAM, nonvolatile memory, and the like, and the above-described components are controlled. Note that the configurations of the information processing apparatus 1 and the server 2 according to the present embodiment are not limited to the example shown in FIG. For example, the information processing apparatus 1 may have a purpose table storage unit 22 and a white / black list storage unit 23 included in the server 2. In this case, it is possible for the information processing apparatus 1 alone to estimate the relationship between a plurality of applications according to the present embodiment.

Further, the information processing apparatus 1 according to the present embodiment may be realized by a server apparatus. That is, in a relationship estimation system including a user terminal and a server device, the main processing is performed on the server device (information processing device 1) side, and the user terminal uses the input signal (window operation) acquired from the user terminal. Estimate the relationship between multiple applications. In this case, the server device (information processing device 1) includes an estimation processing unit 15, a score table storage unit 17, an estimation result storage unit 16, an objective table storage unit 22, and a white / black list storage unit 23.

<< 3. Action processing >>
Next, the allocating process of static elements and dynamic elements by the relationship estimation system of the present embodiment will be described with reference to FIGS. FIG. 6 is a flowchart showing event type determination processing of the relationship estimation system according to the present embodiment.

As shown in FIG. 6, first, in step S <b> 103, the input unit 11 of the information processing apparatus 1 receives an operation input by the user and outputs the received input information (input signal) to the system processing unit 12.

Next, in step S106, the system processing unit 12 distributes an event corresponding to the input information to the application processing unit 13 and the estimation processing unit 15.

Subsequently, in step S109, the estimation processing unit 15 determines the type of the distributed event. Specifically, the estimation processing unit 15 determines whether any of the distributed events is a window display start event, a window position change event, a window display area change event, an operation tool movement event, a line-of-sight movement event, or a display end. Determine if there is. For example, events such as new application activation, unlock from the screen lock state, and return from a state where the display area is zero because all of the windows are hidden behind other windows are classified as a display start event (A).

Also, when the window position is changed by a user operation, it is classified as a window position change event (B).

Also, when the display area of the window is changed, such as when the display area (size) of the window is changed by a user operation, or when a plurality of windows are overlapped, it is classified as a window display area change event (C).

Also, when an operation body such as a mouse pointer or a finger moves from one window to the other window by a user operation, it is classified as an operation body movement event (D).

Also, when the user's line of sight moves from one window to the other, it is classified as a line-of-sight movement event (E). The line-of-sight movement is an event that occurs when the user's line-of-sight tracking is performed using a camera or the like attached to the information processing apparatus 1 that captures the direction of the user's face. When the information processing apparatus 1 does not have a camera, an eye movement event does not occur, but other events according to the present embodiment can be mainly generated by an operation input unit such as a mouse, a keyboard, or a touch pad.

Also, when an event that the application is terminated, the screen is locked, or the display area is completely hidden behind the back of another window is delivered, it is classified as a display end event (F).

The estimation processing unit 15 analyzes a dynamic element and a static element for estimating a relationship between a plurality of applications according to the type of distributed event. Hereinafter, the analysis of the dynamic element and the static element performed using each event input as a trigger will be specifically described with reference to FIGS.

<3-1. Static and dynamic element analysis processing at display start event>
Processing when a distributed event is classified as a display start event will be described with reference to FIGS. FIG. 7 is a flowchart showing static / dynamic element analysis processing when a display start event occurs.

As shown in FIG. 7, first, in step S110, the estimation processing unit 15 calculates the first window (own window) displayed in response to the occurrence of the display start event and the activation source of the first window from the calculation table. 181 (see FIG. 5), and the display start time is also recorded. The activation source is a caller of a window whose display has been newly started, and corresponds to, for example, a launcher or a parent window.

Next, in step S113, the estimation processing unit 15 determines whether there is a second window (another window). The second window is one or more windows currently displayed on the display screen in addition to the first window, and is a window that has already been registered in the calculation table 181 and whose display end time has not been determined.

Next, when the second window exists (S113 / Yes), in step S116, the estimation processing unit 15 sets the second window in the first window, the first window in the second window, Each is added to the calculation table 161 as a window to be compared.

Subsequently, in step S119, the static element analysis unit 152 analyzes the static elements of the first window and the second window, and records the basic points (static element points) in the calculation table 161. The static element analysis processing will be described below with reference to FIG.

FIG. 8 is a flowchart showing the static element analysis processing. As shown in FIG. 8, first, in step S230, the static element analysis unit 152 determines whether or not the first window and the second window (target window) are the same. Specifically, for example, the static element analysis unit 152 determines that the same application or the same domain in the case of a web browser application is the same. Note that different pages on the same Web site are considered identical because the domains match.

Next, when it is determined that they are the same (S230 / Yes), in step S233, the static element analysis unit 152 refers to the static element allocation table 172 (see FIG. 4), and determines the static element point (a ) Is set. The static element point (a) is set to “0.00” or a value close thereto as shown in FIG. 4, for example. This is because the same window is less competitive.

On the other hand, when it is determined that they are not the same (S233 / No), in step S236, the static element analysis unit 152 determines whether the target window (second window) is registered in the white list of the first window. Judge whether or not. As described above, the white list is a list of dedicated applications and websites that are unconditionally excluded from competition targets.

When registered in the white list (S236 / Yes), in step S239, the static element analysis unit 152 sets the static element point (b) with reference to the static element allocation table 172 (see FIG. 4). To do. The static element point (b) is set to “0.00” as shown in FIG. 4, for example. This is because the window registered in the white list is unlikely to be in a conflict state. The competitive point calculation unit 153 calculates the competitive point by multiplying the static element point and the dynamic element point. Therefore, if the basic point (static element point) is 0.00, the dynamic element point is Regardless of the number, the competition is 0.00.

On the other hand, if it is not registered in the white list (S236 / No), in step S242, the static element analysis unit 152 determines whether the target window (second window) is registered in the black list of the first window. Judge whether or not. As described above, the black list is a list of dedicated applications and websites that are unconditionally regarded as competing targets.

When registered in the black list (S242 / Yes), in step S245, the static element analysis unit 152 sets the static element point (c) with reference to the static element allocation table 172 (see FIG. 4). To do. The static element point (c) is a relatively large value such as “30.00” as shown in FIG. This is because windows registered in the black list are always in a conflict state.

When neither the white list nor the black list is registered (S242 / No) In steps S248 and S251, the static element analysis unit 152 determines whether the first and second windows are windows capable of text mining. Determine whether. For example, the static element analysis unit 152 determines that text mining is possible if the window is a Web site displayed by a Web browser application, and determines that text mining is not possible if the window is a dedicated application.

Next, when it is determined that at least one of the first and second windows is not capable of text mining (S248 / No or S251 / No), in step S260, the static element analysis unit 152 performs the first and second windows. It is determined whether or not both windows are described in the objective table. The purpose table is a table in which the purpose of use of each window (dedicated application, Web site) is listed. The purpose of use may be a purpose from the standpoint of the user or a purpose from the standpoint of the management side. Here, FIG. 9 shows an example of the purpose table. The purpose table 221 is stored in the purpose table storage unit 22 of the server 2, for example. The information processing apparatus 1 accesses the server 2 as necessary, and refers to the purpose table 221 stored in the purpose table storage unit 22. .

As shown in FIG. 9, the purpose table 221 includes the type of each window (whether it is a dedicated application or a website), a title, and a purpose. For example, as shown in FIG. 9, the purpose of each window is described as communication, game / killing time, purchasing, traffic search, media viewing, news browsing, auction, price survey.

Next, when both windows are described in the purpose table 221 (S260 / Yes), in step S263, the static element analysis unit 152 determines whether or not the purposes of both windows match.

If the purposes of both windows match (S263 / Yes), in step S266, the static element analysis unit 152 refers to the static element allocation table 172 and sets a static element point (d). For example, the static element point (d) is “15.00” as shown in FIG. The static element point (d) is not as large as the static element point (c), but is set to a large value. This is because windows with the same purpose are highly competitive.

On the other hand, when the purposes of both windows do not match (S263 / No), or when the purposes of both windows are not described (S260 / No), the static element analysis unit 152, in step S269, 172, the static element point (e) is set. The static element point (e) is, for example, “5.00” as shown in FIG. The static element point (e) is set to a relatively small value. This is because windows that do not match the purpose are less competitive.

Subsequently, when both windows are Web sites and text mining is possible (S251 / Yes), in step S254, the static element analysis unit 152 performs a common element calculation process by text mining. In text mining, it is possible to calculate static element points with higher accuracy by using a character string constituting a Web site as a reference. The common element calculation process by text mining will be described with reference to FIGS.

FIG. 10 is a diagram showing an example of a display screen on which a text minable window is displayed. As shown in FIG. 10, for example, when the windows of the purchase sites 31 and 32 are displayed on the display unit (an example of the output unit 14), the static element analysis unit 152 applies the character string of each window. Text mining is performed using a general algorithm such as morphological analysis.

FIG. 11 is a diagram showing a totaling result of words extracted by text mining. In FIG. 11, the total result of the words extracted from the window of the purchase site 31 is shown as “data1”, and the total result of the words extracted from the window of the purchase site 32 is shown as “data2”. The static element analysis unit 152 performs processing such as counting the number of matched words based on the total result of the words extracted from each window, and quantifies the closeness, thereby approximating the degree of approximation of the two windows. (Common element) can be calculated. In the example shown in FIG. 11, the number of appearances of words is simply counted, but other general algorithms in the text mining field can be applied.

Next, in step S257, the static element analysis unit 152 uses the calculated number of matching words to calculate “static element score (f) × number of matching words in the static element score table 172” as the static element point. Set as. The static element point (f) is, for example, “1.00” as shown in FIG. This is because as the character strings constituting the Web site match, the competitiveness is higher.

In the foregoing, the stipulation process for static element points (basic points) by the static element analysis unit 152 has been described. Subsequently, returning to FIG. 7, the processing after step S122 will be described.

In step S122, the estimation processing unit 15 determines whether or not the activation source of the first window is a launcher. When the activation source is a launcher (S122 / Yes), it is natural that the first window is generated from the launcher, so that dynamic elements are not assigned.

On the other hand, if the activation source is not a launcher (S122 / No), in step S125, the dynamic element analysis unit 151 adds a dynamic element point to the parent window in the target window registered as a comparison target in the calculation table 161. Add (a). The dynamic element point (a) is set to “0.50” as shown in FIG. 3, for example, and is set lower than 1.0. This is because the parent window viewed from the first window is an activation source, and thus the competition is low.

Next, in step S128, the dynamic element analysis unit 151 determines whether there is another sibling-related window (second window) having the same parent window in the comparison target window of the first window. to decide.

When there is a second window having the same parent window (S128 / Yes), in step S131, the dynamic element analysis unit 151 causes the target window (the same parent in the comparison target of the first window in the calculation table 161). A dynamic element point (b) is added to a second window having a window. The dynamic element analysis unit 151 also adds the dynamic element point (b) to the first window registered in the comparison target of the target window in the calculation table 161. The dynamic element point (b) is set to “1.51” as shown in FIG. 3, for example. The case where there is a second window having the same parent window is, for example, a case where a plurality of windows are opened from a search result of a predetermined keyword by a search engine (search site), and the plurality of windows are not competitive. This is because it is expensive.

<3-2. Dynamic element analysis processing at window position change event>
A process when the distributed event is classified as a window position change event will be described with reference to FIG. FIG. 12 is a flowchart showing a dynamic element analysis process when a window position change event occurs.

As shown in FIG. 12, first, in step S140, the dynamic element analysis unit 151 determines whether there is a second window closer to the center of the screen than the first window.

Next, when it is determined that it exists (S140 / Yes), in step S143, the dynamic element analysis unit 151 adds the dynamic element point (c) to the target window in the comparison target of the first window in the calculation table 161. Add The dynamic element point (c) is set to “1.21” as shown in FIG. 3, for example. This is because when the first window is moved to the screen edge, the second window located at the center of the screen is more competitive than the first window.

<3-3. Dynamic element analysis process at window display area change event>
Processing when the distributed event is classified as a window display area change event will be described with reference to FIG. FIG. 13 is a flowchart showing a dynamic element analysis process when a window display area change event occurs.

As shown in FIG. 13, first, in step S150, the dynamic element analysis unit 151 determines whether or not the display area of the first window has decreased.

Next, when it is determined that the display area has become smaller (S150 / Yes), in step S153, the dynamic element analysis unit 151 determines whether or not the cause of the decrease in the display area is covered by the second window. to decide. When the second window is superimposed and displayed in front of the first window, the overlapped portion is hidden, so the display area of the first window is reduced.

Next, when it is determined that the display area is covered by the second window (S153 / Yes), in step S156, the dynamic element analysis unit 151 changes the display area of the first window before the display area change. Divide by the subsequent area to calculate the area change rate. For example, when the area of the half of the first window is covered with the second window and the area becomes small, the area change rate is 2.0. When the area after the change becomes 0, it is handled not as “window display area change event (C)” but as “display end event (F)”, so this sequence is not reached.

Next, in step S159, the dynamic element analysis unit 151 uses the calculated area change rate to calculate the target window (the first window covering the first window) within the comparison target of the first window in the calculation table 161. 2), “dynamic element point (d) × area change rate” is added. The dynamic element point (d) is set to “1.23” as shown in FIG. 3, for example. This is because as the area covered by the second window is larger (the area change rate is higher), the competitiveness is higher.

On the other hand, when the cause of the display area change is not due to being covered by the second window (S153 / No), the dynamic element analysis unit 151 can determine that the first window has been resized by the user operation alone ( S153 / Yes).

Subsequently, when the first window is resized (S153 / Yes), in step S162, the dynamic element analysis unit 151 determines whether or not there is a second window having a larger display area than the first window. to decide.

Next, when it is determined that it exists (S162 / Yes), in step S165, the dynamic element analysis unit 151 displays the target window (the display area from the first window) within the comparison target of the first window in the calculation table 161. The dynamic element point (e) is added to the second window having a large. The dynamic element point (e) is set to “1.25” as shown in FIG. 3, for example. This is because the second window having a size larger than the first window when the first window is resized to a small size is highly competitive.

<3-4. Dynamic element analysis processing at operation object movement event>
Processing when the distributed event is classified as an operation tool movement event will be described with reference to FIG. FIG. 14 is a flowchart showing a dynamic element analysis process when an operation tool movement event occurs.

As shown in FIG. 14, first, in step S170, the dynamic element analysis unit 151 determines whether or not the operating body has moved to the first window (whether or not the first window has become an operation target). To do.

Next, when it is determined that the operating body has moved (S170 / Yes), in step S173, the dynamic element analysis unit 151 determines whether or not the second window (another window) exists.

Next, when it is determined that the second window exists (S173 / Yes), in step S176, the dynamic element analysis unit 151 has been operated by the operating body immediately before the operating body moves to the first window. It is determined whether or not the second window (which was the operation target) exists.

Next, when there is a second window that has been operated immediately before (S176 / Yes), in step S179, the dynamic element analysis unit 151 causes the target window (the second window that has been operated immediately before) to be calculated in the calculation table 161. The dynamic element point (f) is added to the first window within the comparison target of the window. The dynamic element point (f) is, for example, “1.05” as shown in FIG. This is because when the user moves the operating tool from the target window to the first window, it can be said that the first window with respect to the target window is highly competitive.

<3-5. Dynamic element analysis processing during eye movement event>
Processing when the distributed event is classified as a line-of-sight movement event will be described with reference to FIG. FIG. 15 is a flowchart showing a dynamic element analysis process when a line-of-sight movement event occurs.

As shown in FIG. 15, first, in step S180, the dynamic element analysis unit 151 determines whether or not the line of sight is directed to the first window (whether or not the first window is a target of attention).

Next, when it is determined that the line of sight is directed (S180 / Yes), in step S183, the dynamic element analysis unit 151 determines whether or not the second window (another window) exists.

Next, when it is determined that the second window exists (S183 / Yes), in step S186, the dynamic element analysis unit 151 is directed to the line of sight just before the line of sight is directed to the first window (attention) It is determined whether the second window (which was the subject) exists.

Next, when there is a second window to which the line of sight was directed immediately before (S186 / Yes), in step S189, the dynamic element analysis unit 151 causes the target window (the line of sight to be directed immediately before) in the calculation table 161. The dynamic element point (g) is added to the first window in the comparison target of the second window). The dynamic element point (g) is, for example, “1.06” as shown in FIG. This is because when the user moves his / her line of sight from the target window to the first window, it can be said that the first window with respect to the target window is highly competitive.

<3-6. Dynamic element analysis processing at display end event>
A process when the distributed event is classified as a display end event will be described with reference to FIG. FIG. 16 is a flowchart showing a dynamic element analysis process when a display end event occurs.

As shown in FIG. 16, first, in step S190, the dynamic element analysis unit 151 records the display end time of the first window in the calculation table 161.

Next, in step S193, it is determined whether or not there is a second window whose display time overlaps with the first window and whose display end time is fixed.

Next, when it is determined that the second window exists (S193 / Yes), in step S196, the dynamic element analysis unit 151 sets a predetermined window as a target window in the comparison target of the first window in the calculation table 161. Add element point of. Specifically, the dynamic element analysis unit 151 adds “dynamic element point (h) ^ parallel time”. Here, the parallel time means that two windows derived from the display start time and the display end time of the first window and the target window were displayed in parallel in time (they existed at the same time). It's time. ^ Represents power. The dynamic element point (h) is set to “1.10” as shown in FIG. 3, for example. The first window and the target window were displayed in parallel in time, but the first window was displayed longer, so the target window for the first window is in a competitive state. This is because the competitiveness of things is not so high.

Next, in step S199, the dynamic element analysis unit 151 compares the target window (the second window whose display time overlaps with the first window and whose display end time is fixed) in the calculation table 161. Add "dynamic element point (i) ^ parallel time" to the first window. The dynamic element point (i) is set to “1.32” as shown in FIG. 3, for example. Here, the dynamic element point (i) is set to a larger value than the dynamic element point (h). This is because the target window that existed in parallel in time is the first window. This is because the self-window for the target window is more competitive when it is terminated earlier.

As described above, the allocating process of static elements and dynamic elements by the relationship estimation system of the present embodiment has been described in detail. The estimation processing unit 15 records the static element points and the dynamic element points in the calculation table 161 as shown in each flow corresponding to each distribution event, and then uses the calculation table 161 by the competitive point calculation unit 153. By calculating the competitive point, it is possible to estimate the competitive relationship of a plurality of applications.

Subsequently, an example of estimation processing by the relationship estimation system of the present embodiment will be specifically described with reference to FIGS.

<< 4. Example of estimation process >>
<4-1. Estimation process when multiple websites are used>
First, relationship estimation processing between a plurality of applications (Web sites) when a user compares a plurality of Web sites and purchases mineral water will be described with reference to FIGS. 17 to 19 show screen transition diagrams, and FIG. 20 shows a calculation table 161-1.

(4-1-1. Display of first purchase site)
FIG. 17 is a diagram illustrating screen transitions until the first purchase site is displayed. When the user activates the Web browser from the launcher, display of the search site 30 set in advance on the home page is started as shown in the left of FIG. At this time, the estimation processing unit 15 detects the display start event, and registers the search site 30 (for example, the title “Search WEB”) and the start source (in this case, the launcher) of the search site 30 in the calculation table 161-1. And the display start time are stored.

The user inputs “mineral water” in the search field of the search site 30 and executes the search. Then, the link of the purchase site 31 included in the search result list is selected, and the purchase site 31 is opened in a new window as shown on the right side of FIG. At this time, the estimation processing unit 15 detects the display start event, and in the calculation table 161-1, the purchase site 31 (for example, the title “ABCD shop”) and the activation source of the purchase site 31 (here, the parent window) The search site 30) is registered and the display start time is stored. The estimation processing unit 15 registers the purchase site 31 (“ABCD shop”), which is the other displayed window, for the search site 30 (“Search WEB”) as a window to be compared in the calculation table 161-1. To do. In addition, the estimation processing unit 15 selects the search site 30 (“Search WEB”), which is the other displayed window, for the purchase site 31 (“ABCD shop”) in the calculation table 161-1. Register as

Furthermore, the static element analysis unit 152 of the estimation processing unit 15 places static element points on each comparison target window. Specifically, for example, in the calculation table 161-1, the static element analysis unit 152, when the purchase site 31 that is the comparison target for the search site 30 (“Search WEB”) is registered in the white list, As the static element point (b), “0.00 point” is set. Further, when the search site 30 to be compared with the purchase site 31 (“ABCD shop”) is registered in the white list, the static element analysis unit 152 sets “0” as the static element point (b). .00 ”is set.

Also, the dynamic element analysis unit 151 of the estimation processing unit 15 places dynamic element points on each comparison target window. Specifically, for example, the dynamic element analysis unit 151 assigns a dynamic element point (a) when the comparison target window is a parent window, and the operation body / line of sight moves between the two windows. When it occurs, dynamic element points (e) and (f) are assigned.

(4-1-2. Start of displaying the second purchase site)
Next, the user performs an operation of opening a new purchase site in order to compare commodities. Hereinafter, a description will be given with reference to FIG.

FIG. 18 is a diagram showing screen transitions until the second purchase site is displayed and compared. The user finds the second purchase site from the search result list of the search site 30, and opens the purchase site 32 in a new window, as shown on the left side of FIG.

At this time, the estimation processing unit 15 detects the display start event, and in the calculation table 161-1, the second purchase site 32 (for example, the title “Free Market Site”) and the start source of the purchase site 32 (here, Registration of the search site 30), which is the parent window, and storage of the display start time. In addition, the estimation processing unit 15 compares the search site 30 and the first purchase site 31 that are the other displayed windows for the purchase site 32 (“Free Market Site”) in the calculation table 161-1. Register as a window. In the calculation table 161-1, the second purchase site 32 is added as a comparison target window for each of the search site 30 and the first purchase site 31.

Furthermore, the static element analysis unit 152 of the estimation processing unit 15 places static element points on each comparison target window. Specifically, for example, in the calculation table 161-1, the static element analysis unit 152, when the purchase site 32 that is the comparison target for the search site 30 (“Search WEB”) is registered in the white list, As the static element point (b), “0.00 point” is set. In addition, when the search site 30 to be compared with the purchase site 32 (“Free Market Site”) is registered in the white list, the static element analysis unit 152 sets the static element point (b) as “ Set “0.00 points”. In addition, when the purposes of the purchase sites 31 and 32 match, the static element analysis unit 152 sets “15.00 points” as the static element point (d).

Also, the dynamic element analysis unit 151 of the estimation processing unit 15 places dynamic element points on each comparison target window. Specifically, for example, in the dynamic element analysis unit 151, in the calculation table 161-1, the purchase sites 31 and 32 are sibling-related windows having the same window (search site 30) as a parent. Points (b) “1.51 points” are assigned respectively. Further, for the purchase site 32, the search site 30 among the comparison target windows corresponds to the parent window, so the dynamic element point (a) “0.50 points” is assigned.

Next, as shown on the right side of FIG. 18, the user browses the purchase sites 31 and 32 while alternately scrolling and compares the products. At this time, the dynamic element analysis unit 151 detects the operating body movement event and the line-of-sight movement event, and the dynamic element point (e) “1.05 points”, ( f) “1.06 points” are assigned.

(4-1-3. Determination of purchase site)
Subsequently, as a result of comparing the two purchase sites, the user determines a purchase site to be used, closes the other purchase site, and performs a product purchase procedure at the determined purchase site. Hereinafter, a description will be given with reference to FIG.

FIG. 19 is a diagram showing screen transitions until the purchase site to be used is determined and the purchase process is completed. As shown on the left side of FIG. 19, when the user decides to purchase a product at the first purchase site 31, the user performs an operation to close the window of the second purchase site 32 that is no longer necessary, and the product at the purchase site 31. Start the purchase process. At this time, the estimation processing unit 15 detects the display end event, and determines the display end time of the purchase site 32 in the calculation table 161-1. When the display end time of the purchase site 32 is determined, the parallel time with other windows that existed in parallel with the purchase site 32 is also determined and registered in the calculation table 161-1.

Then, as shown in the right of FIG. 19, when the purchase process at the first purchase site 31 is completed, the window of the purchase site 31 and the window of the search site 30 are closed, and the information processing apparatus 1 is also shut down. At this time, the estimation processing unit 15 detects the display end event, and determines the display end time of the purchase site 31 and the search site 30 in the calculation table 161-1. Further, when the display end times of the purchase site 31 and the search site 30 are determined, the parallel time with other windows that existed in parallel with the purchase site 31 and the search site 30 is also determined, and the calculation table 161- 1 is registered.

In addition, when the first window is longer, the dynamic element analysis unit 151 uses the parallel time of the target window with respect to the first window and the dynamic element point (h) to dynamically The element points are calculated and recorded in the calculation table 161-1. In addition, when the first window has existed longer, the dynamic element analysis unit 151 uses the first window parallel time for the target window and the dynamic element point (i) to dynamically The element points are calculated and recorded in the calculation table 161-1.

(4-1-4. Estimation results)
When the estimation processing unit 15 finishes assigning the static / dynamic element points, the competition point calculation unit 153 calculates a competition point between each window and the target window using the calculation table 161-1 illustrated in FIG. . Here, the competing points between a plurality of windows are calculated by multiplying all of the static element points and the dynamic element points, for example.

As a result, the purchase sites 31 and 32 for the search site 30 and the competition points of the search site 30 for the purchase sites 31 and 32 are both calculated as “0.00 points” as shown in FIG. Therefore, the estimation processing unit 15 can estimate that each window (each Web site) is not a competition target, that is, there is no competition relationship between them.

On the other hand, the competition point of the purchase site 32 with respect to the purchase site 31 is calculated as “45.72”, and it is estimated that the purchase site 32 is a competition target. Further, the competition point of the purchase site 31 with respect to the purchase site 32 is calculated as “85.18” as shown in FIG. 20, and it is estimated that the purchase site 31 is a competition target.

Here, when comparing the calculated competitive points, the competitive points of the purchase site 31 viewed from the purchase site 32 are higher than the competitive points of the purchase site 32 viewed from the purchase site 31. As described with reference to FIG. 19, the dynamic factor is that the purchase site 31 is finally used out of the two purchase sites 31 and 32 and the display of the purchase site 32 is terminated first. This is because the points (h) and (i) are reflected.

When the operator of the purchase site 32 refers to such an estimation result, for example, it can be seen that the purchase site 31 is more competitive among big data including a large number of Web sites browsed by the user. Further, the site operator of the purchase site 32 can take measures by paying attention to the purchase site 31 having high competitiveness.

<4-2. Estimating process when using website and dedicated application>
Next, a relationship estimation process when a user searches for traffic using a highly relevant website and a dedicated application will be described with reference to FIGS. 21 to 23 show screen transition diagrams, and FIG. 24 shows a calculation table 161-2.

In the above embodiment, when the information processing apparatus 1 is realized by a PC (person computer), the relationship between a plurality of windows (Web sites) displayed in a multi-window on the display unit is estimated. On the other hand, in the present embodiment, when the information processing apparatus according to the present disclosure is realized by a smartphone (high function mobile phone terminal), the relationship between windows displayed on the display unit is estimated.

Usually, in a mobile terminal (smart phone, mobile phone, tablet terminal, etc.) having a relatively small display area, one window is displayed in full screen, and it is necessary to perform screen transition in order to view other windows. However, in the present embodiment, a smartphone that can display a plurality of windows corresponding to a plurality of applications in parallel is newly used.

Such a smartphone (information processing apparatus 100) employs, for example, the display unit 140 formed with an aspect ratio of approximately 3: 1, and each of the plurality of windows has a pixel area of 1: 1 with the same display area height and display area width. It is possible to display in parallel at a ratio (square pixel) (see FIGS. 21 to 23).

(4-2-1. Start of traffic search site display)
FIG. 21 is a diagram illustrating screen transitions until a traffic search site is displayed. As shown in the upper part of FIG. 21, when the user starts the traffic search site from the launcher 40, the display of the traffic search site 41 is started as shown in the lower part of FIG. The traffic search site 41 is a Web site displayed by a Web browser. At this time, the estimation processing unit 15 detects the display start event, and in the calculation table 161-2, the traffic search site 41 (for example, the title “Halo! Route information”) and the start source of the traffic search site 41 (here, (Launcher) registration and display start time storage.

The user inputs “Station A” in the departure station input field of the traffic search site 41 and “B Station” in the arrival station input field, and taps the search button to start a traffic search from the station A to the station B. . However, when it takes time to display the traffic search result, it is assumed that the user newly starts another traffic search application.

(4-2-2. Start of traffic search application display)
FIG. 22 is a diagram showing screen transitions until the traffic search application is displayed and the traffic search is similarly started. As shown in FIG. 22, the user activates a traffic search application 42 that is a dedicated application for traffic search from the launcher 40. Here, on the display unit 140, the launcher 40, the traffic search site 41, and the traffic search application 42 are displayed side by side in a display area of square pixels.

At this time, the estimation processing unit 15 detects the display start event, and in the calculation table 161-2, registers the traffic search application 42 (for example, the title “NAVI / NAVI”) and the activation source (here, the launcher), and Store the display start time. Further, the estimation processing unit 15 registers the traffic search site 41, which is the other displayed window, for the traffic search application 42 as a window to be compared in the calculation table 161-2. In the calculation table 161-2, a traffic search application 42 is added as a comparison target window of the traffic search site 41.

Furthermore, the static element analysis unit 152 of the estimation processing unit 15 places static element points on each comparison target window. Specifically, for example, when the purpose of the traffic search site 41 and the traffic search application 42 match in the calculation table 161-2, the static element analysis unit 152 sets “15. 00 points "is set.

Also, the dynamic element analysis unit 151 assigns dynamic element points (e) and (f), respectively, when an operation body / line of sight movement occurs between two windows.

As shown in the lower part of FIG. 22, when the user moves the display position of the traffic search application 42 to the center and the traffic search site 41 is moved to the screen end, a window position change event is detected. In this case, the dynamic element analysis unit 151 applies the dynamic element point (c) “1.21” to the traffic search application 42 in the target window of the traffic search site 41 in the calculation table 161-2 (see FIG. 3). Scoring.

In the traffic search application 42, the user also inputs “A station” in the departure station input field and “B station” in the arrival station input field, taps the search button, and then travels from the A station to the B station. Start the search.

(4-2-3. Determination of application to be used)
Next, when the traffic search result is displayed before the traffic search site 42, the user decides to use the traffic search application 42, closes the traffic search site 42, and decides The traffic search is continued by the traffic search application 42 that has been made. Hereinafter, a description will be given with reference to FIG.

FIG. 23 is a diagram showing screen transitions until the application to be used is determined and the traffic search process is completed. As shown in FIG. 23, when the user decides to use the traffic search application 42, the user closes the window of the traffic search site 41 that is no longer necessary, and performs an operation for displaying the traffic search application 42 on the full screen. Each of the screens 42a (menu screen), 42b (route screen), and 42c (map screen) shown in FIG. 23 is a screen of the traffic search application 42.

At this time, the estimation processing unit 15 detects the display end event, and determines the display end time of the traffic search site 41 in the calculation table 161-2. When the display end time of the traffic search site 41 is determined, the parallel time with other windows (traffic search application 42) that existed in parallel with the traffic search site 41 is also determined, and the calculation table 161- 2 is registered.

23, when the traffic search process in the traffic search application 42 is completed, the window of the traffic search application 42 is closed and the information processing apparatus 100 is also locked (sleep). At this time, the estimation processing unit 15 detects the display end event, and determines the display end time of the traffic search application 42 in the calculation table 161-2.

In addition, since the traffic search application 42 has existed for a longer time, the dynamic element analysis unit 151 has a parallel time of the target window (traffic search site 41) with respect to the traffic search application 42 and a dynamic element point (h). The dynamic element point is calculated using and is recorded in the calculation table 161-2. In addition, when the traffic search application 42 has existed for a longer time, the dynamic element analysis unit 151 determines the parallel time of the traffic search application 42 for the target window (traffic search site 41) and the dynamic element point (i ) To calculate the dynamic element point and record it in the calculation table 161-2.

(4-2-4. Estimation results)
When the estimation processing unit 15 finishes assigning the static / dynamic element points, the competition point calculation unit 153 calculates a competition point between each window and the target window using the calculation table 161-2 shown in FIG. . Here, the competing points between a plurality of windows are calculated by multiplying all of the static element points and the dynamic element points, for example.

As a result, the competition point of the traffic search application 42 with respect to the traffic search site 41 is calculated as “86.59” as shown in FIG. 24, and it is estimated that the traffic search application 42 is a competition target. Further, the competition point of the traffic search site 41 with respect to the traffic search application 42 is calculated as “18.15” as shown in FIG. 24, and it is estimated that the traffic search site 41 is a competition target.

Here, when the calculated competition points are compared, the competition point of the traffic search application 42 viewed from the traffic search site 41 is higher than the competition point of the traffic search site 41 viewed from the traffic search application 42. Yes. As described with reference to FIG. 22 and FIG. 23, this is because the traffic search application 42 is finally used out of the two applications, and the traffic search site 41 is displayed first. This is because the element points (h) and (i) are reflected.

Thus, in this embodiment, it is possible to estimate the relationship between a plurality of applications displayed in parallel on the smartphone. In particular, in this embodiment, it is possible to estimate the relationship between a Web site acquired and displayed from the outside by a Web browser and a dedicated application acquired and executed from inside the smartphone.

(4-2-5. When using less relevant websites and dedicated applications)
In the above-described embodiment, the relationship estimation in the case of using a website and a dedicated application that coincide with the purpose of traffic search has been described. Here, the relationship estimation in the case of using a low-relevance Web site and a dedicated application will also be described with reference to FIG. Also in this embodiment, the information processing apparatus 100 that can display a plurality of applications on the display unit 140 in parallel is used.

FIG. 25 is a diagram for explaining a case where a less relevant web site and a dedicated application are used. As shown in the upper part of FIG. 25, the user starts the news site 45 and browses the news as shown in the lower part of FIG. 25 while activating the music player application 44 and listening to music.

At this time, since the purposes of the music player application 44 and the news site 45 do not match, the static element point (e) “5.00” is assigned. The score is lower than the static element point (d) “15.00” when the purposes match. As a result, both windows are displayed in parallel in time over a long period of time, and even if the dynamic element point is high, the calculated competitive point is not so high. The estimation processing unit 15 calculates a lower competitive point for the competitive relationship between the music player application 44 and the news site 45 than when both windows have the same purpose.

By referring to the estimation result, for example, when the operator of the news site 45 does not want to calculate the competition point with the music player application, the competition point is set to 0.00 by adding the music player application to the white list. Is possible. Also, although the competitiveness is low, the potential needs are taken from the user behavior that “news sites are often viewed while listening to music”, and BGM and music playback functions are also added to the news site 45 to improve the ability to attract customers It is possible to take measures such as

<4-3. Estimation process when the same application is divided and displayed>
The information processing apparatus 100 used in the above embodiment can display a plurality of windows corresponding to a plurality of applications in parallel, and can also divide a single application into a plurality of displays. The relationship estimation between a plurality of windows in this case will be described below with reference to FIG.

FIG. 26 is a screen transition diagram for explaining a case where the same application is divided and displayed. The user browses the news by displaying the news site 46 on the display unit 140 of the information processing apparatus 100 as shown on the left in FIG. The news site 46 is a Web site acquired and displayed from the outside by a Web browser.

Users can browse news while scrolling through news sites. Here, when a moving image is found in the article, the user can continue scrolling the article while reproducing the moving image on another screen. Specifically, as shown in the center of FIG. 26, the user operates to display the same news site in a plurality of windows, and in the window of the news site 46b, scrolls to the portion where the video is displayed and plays the video. Start.

On the other hand, in the window of the news site 46a, as shown in the lower part of FIG.

Thus, the convenience of the information processing apparatus 100 is further improved by displaying and browsing the same news site 46 in a plurality of windows ( news sites 46a and 46b).

At this time, the static element analysis unit 152 of the estimation processing unit 15 considers the same window based on the domain of the Web site displayed in both windows. When it is determined that they are the same window, as shown in FIG. 4, since “0.00” or a value close thereto is assigned as the static element point (a), the competition between the same windows is high. It can prevent being calculated.

<4-4. Stabilization of estimation process>
Subsequently, a method for further stabilizing the estimation process between a plurality of applications according to the present embodiment will be described with reference to FIGS. 27 to 29. FIG. In the present embodiment, a description will be given using the information processing apparatus 100 that can display a plurality of windows corresponding to a plurality of applications in parallel on the display unit 140.

(4-4-1. Static element analysis of news sites)
FIG. 27 is a diagram for explaining a case where a plurality of news sites are browsed side by side. If the news site is not listed in the purpose table or the white / black list, the static element analysis unit 152 performs text mining to calculate the approximate degree of the two windows.

Here, since the contents of each news site are composed of character strings that change according to daily news, the result of static element analysis by text mining also changes daily. For example, as shown in FIG. 27, in news sites 47A and 48A on a certain day, both of them are mainly disaster-related news headlines, so the number of matching words calculated by text mining increases, and static element points The score according to (f) also increases. However, as shown in the lower part of FIG. 27, the news sites 47B and 48B on different days mainly have headlines for disaster-related news on the one hand and Olympic-related news on the other hand, and therefore match words calculated by text mining. The number is reduced, and the score by the static element point (f) is also lowered.

Therefore, when text mining processing is performed on a news site in which a character string composed of daily news changes, the static element point changes depending on the news picked up by the news site. For this reason, when static element analysis is performed on a news site by text mining, competing websites that are highly competitive with the news constituting the news site of the day are extracted.

Therefore, if it is clear that a specific Web site is a competing site of the company, and the user wants to treat it as a competing target without depending on the content of news pickup, the target application is registered in the black list. This makes it possible to give a relatively high score as a static element point as a fixed point (see the static element point (c) shown in FIG. 4).

In this way, in this embodiment, the static element points of news sites that change daily can be stabilized by using the black list.

(4-4-2. Static element analysis of websites with different purposes)
FIG. 28 is a diagram for explaining a case where a plurality of websites with different purposes are browsed side by side. As shown in FIG. 28, on the display unit 140, the EC site 49 and the auction application 50 are displayed side by side.

At this time, when the static element analysis unit 152 analyzes the static element of each window according to the purpose table (see FIG. 6), the purpose of the EC site 49 is “purchase” and the purpose of the auction application 50 is “auction”. Because the purpose of both does not match, it is analyzed that the competitiveness is low. However, in reality, even if there is a competitive relationship in which the same product is compared with the EC site 49 and the auction application 50 and is considered to be purchased, if the purpose is different and it is estimated that the competitiveness is low, There is a risk of being buried in a Web site or a dedicated application.

Therefore, when it is clear that a specific website or dedicated application is a competitor site of the company and it is desired to treat it as a competing target regardless of whether or not the purpose matches, the target application is registered in the black list. This makes it possible to give a relatively high score as a static element point as a fixed point (see the static element point (c) shown in FIG. 4).

Thus, in this embodiment, by using the black list, it is possible to stabilize the static element points of other websites and dedicated applications with different purposes.

(4-4-3. Static element analysis of company affiliated sites)
FIG. 29 is a diagram for explaining a case where two websites of the same group company are browsed side by side. As shown in FIG. 29, on the display unit 140, the EC site 51 and the EC site 52 are displayed side by side.

Here, it is estimated that the EC site 51 and the EC site 52 are both windows for the purpose of “purchasing a dedicated application” and have high competitiveness. In this case, the operator of the EC site 51 that refers to the estimation result, for example, if the EC site 52 picked up as a competing site belongs to its own group company, eliminates duplication of websites, etc. Efficiency measures can be taken.

In addition, when it is assumed that the EC site 51 and the EC site 52 are browsed at the same time and it is not necessary to estimate the competitive relationship, the operator of the EC site 51 registers the EC site 52 in the white list. Thereby, “0.00” can be given as a static element point as a fixed point (see the static element point (b) shown in FIG. 4).

<< 5. Summary >>
As described above, the relationship estimation system according to the embodiment of the present disclosure can analyze what applications the user is using at the same time, and can estimate the relationship among a plurality of applications being used. The creator and operator of each application can grasp the potential needs of consumers by referring to the estimation results.

In the present embodiment, not only the element (the dynamic element point (h) (i) shown in FIG. 3) of the time displayed in parallel in time (the time used simultaneously) but also the window by the user Considering the operation (dynamic element points (c) to (g) shown in FIG. 3), the relationship can be estimated more accurately.

In this embodiment, a black / white list, a purpose table, a static element score table used for static element analysis, and a dynamic element score table used for dynamic element analysis are appropriately stored on the website operator. By updating it according to the intention and necessity of the side, it is possible to obtain a relationship estimation result tailored to the purpose.

Also, in this embodiment, since highly competitive applications can be extracted from big data such as Web sites and dedicated applications that have been increasing in recent years, operators of Web sites and dedicated applications can take measures against competitors. Can be done efficiently.

In this embodiment, it is also possible to estimate the relationship between a Web browser that reproduces a Web site based on data acquired from the outside and a dedicated application that is executed based on a program stored inside or outside. It is.

The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present technology is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field of the present disclosure can come up with various changes or modifications within the scope of the technical idea described in the claims. Of course, it is understood that it belongs to the technical scope of the present disclosure.

For example, in the above embodiment and each of the above examples, the competitive relationship of multiple applications is estimated (competitive points are calculated), but this embodiment is not limited to this, and the coexistence relationship of multiple applications and the affinity It is also possible to estimate the height.

Further, the information processing apparatuses 1 and 100 according to the present embodiment are not limited to the notebook PC illustrated in FIG. 1 or the smartphone illustrated in FIG. 21, but are a desktop PC, a mobile terminal, or a wearable device (for example, glasses-type HMD, watch-type Device).

It is also possible to create a computer program for causing hardware such as the CPU, ROM and RAM incorporated in the information processing apparatuses 1 and 100 and the server 2 to exhibit the functions of the information processing apparatuses 1 and 100 and the server 2. . A computer-readable storage medium storing the computer program is also provided.

In addition, the effects described in this specification are merely illustrative or illustrative, and are not limited. That is, the technology according to the present disclosure can exhibit other effects that are apparent to those skilled in the art from the description of the present specification in addition to or instead of the above effects.

In addition, this technique can also take the following structures.
(1)
An input unit that accepts external operation inputs;
A system processing unit for outputting an event to a plurality of specific applications in accordance with an input signal received by the input unit;
In response to an event output from the system processing unit, an application processing unit that executes processing of a plurality of applications,
In response to the event, an estimation unit that estimates a mutual relationship between the plurality of applications,
An information processing apparatus comprising:
(2)
The information processing apparatus according to (1), wherein the estimation unit estimates a mutual relationship between the plurality of applications according to a window operation with respect to the plurality of applications.
(3)
The information processing apparatus further includes a line-of-sight detection unit,
The estimation unit estimates a mutual relationship between the plurality of applications according to the line-of-sight information detected by the line-of-sight detection unit input via the system processing unit. ).
(4)
Of the plurality of applications, the first application processes locally recorded content, and the second application processes content acquired from the outside, any one of (1) to (3) The information processing apparatus according to item.
(5)
The information processing apparatus includes:
The information processing apparatus according to any one of (1) to (4), further including an accumulation unit that accumulates the relationship estimated by the estimation unit as a log for each application.
(6)
The information processing apparatus according to any one of (1) to (5), wherein the estimation unit estimates that the plurality of applications have a competition relationship or a coexistence relationship with each other.
(7)
The estimation unit analyzes at least one of a static element and a dynamic element of a plurality of windows corresponding to the plurality of applications according to the event, and estimates a mutual relationship between the plurality of applications. The information processing apparatus according to any one of (1) to (6).
(8)
The information processing apparatus according to (7), wherein the static element is an element that cannot be changed by a user operation.
(9)
The information processing apparatus according to (7), wherein the dynamic element is an element that can be changed by a window operation by a user.
(10)
The elements that can be changed by the window operation include at least one of a window display position, a display area change, an operation target / attention target change, and a window operation time, attention time, and display time. ).
(11)
Computer
An input unit that accepts external operation inputs;
A system processing unit for outputting an event to a plurality of specific applications in accordance with an input signal received by the input unit;
In response to an event output from the system processing unit, an application processing unit that executes processing of a plurality of applications,
In response to the event, an estimation unit that estimates a mutual relationship between the plurality of applications,
A storage medium storing a program that functions as a computer.
(12)
A step of accepting an operation input from the outside;
Outputting an event to a plurality of specific applications according to the received input signal;
Executing a plurality of application processes in response to the output event;
In response to the event, estimating a mutual relationship between the plurality of applications;
Including a control method.

DESCRIPTION OF SYMBOLS 1,100 Information processing apparatus 3 Network 2 Server 11 Input part 12 System processing part 13 Application processing part 14 Output part 140 Display part 15 Estimation processing part 151 Dynamic element analysis part 152 Static element analysis part 153 Competitive point calculation part 16 Estimation Result storage unit 17 Scoring table storage unit 18 Communication unit 21 Communication unit 22 Objective table storage unit 23 White / black list storage unit

Claims (12)

1. An input unit that accepts external operation inputs;
   A system processing unit for outputting an event to a plurality of specific applications in accordance with an input signal received by the input unit;
   In response to an event output from the system processing unit, an application processing unit that executes processing of a plurality of applications,
   In response to the event, an estimation unit that estimates a mutual relationship between the plurality of applications,
   An information processing apparatus comprising:
2. The information processing apparatus according to claim 1, wherein the estimation unit estimates a mutual relationship between the plurality of applications in accordance with a window operation with respect to the plurality of applications.
3. The information processing apparatus further includes a line-of-sight detection unit,
   The information according to claim 1, wherein the estimation unit estimates a mutual relationship between the plurality of applications according to line-of-sight information detected by the line-of-sight detection unit input via the system processing unit. Processing equipment.
4. The information processing apparatus according to claim 1, wherein among the plurality of applications, a first application processes content recorded locally, and a second application processes content obtained from outside.
5. The information processing apparatus includes:
   The information processing apparatus according to claim 1, further comprising an accumulation unit that accumulates the relationship estimated by the estimation unit as a log for each application.
6. The information processing apparatus according to claim 1, wherein the estimation unit estimates that the plurality of applications are in a competition relationship or a coexistence relationship with each other.
7. The estimation unit analyzes at least one of a static element and a dynamic element of a plurality of windows corresponding to the plurality of applications according to the event, and estimates a mutual relationship between the plurality of applications. The information processing apparatus according to claim 1.
8. The information processing apparatus according to claim 7, wherein the static element is an element that cannot be changed by a user operation.
9. The information processing apparatus according to claim 7, wherein the dynamic element is an element that can be changed by a window operation by a user.
10. The element that can be changed by the window operation includes at least one of a window display position, a display area change, an operation target / attention target change, and a window operation time, attention time, and display time. The information processing apparatus described in 1.
11. Computer
    An input unit that accepts external operation inputs;
    A system processing unit for outputting an event to a plurality of specific applications in accordance with an input signal received by the input unit;
    In response to an event output from the system processing unit, an application processing unit that executes processing of a plurality of applications,
    In response to the event, an estimation unit that estimates a mutual relationship between the plurality of applications,
    A storage medium storing a program that functions as a computer.
12. A step of accepting an operation input from the outside;
    Outputting an event to a plurality of specific applications according to the received input signal;
    Executing a plurality of application processes in response to the output event;
    In response to the event, estimating a mutual relationship between the plurality of applications;
    Including a control method.

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