JP2017228049A - Display control program, display control method, and information display system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To support work of a user in charge of a plurality of cases.SOLUTION: An information processing device 101 acquires position information of a user. The information processing device 101 specifies a first person concerned whom the user approaches on the basis of time series changes of the position information of the user and respective position information of a plurality of persons concerned. The information processing device 101 calculates an index value indicating the height of the possibility of starting or restarting work of a first case related to the first person concerned among cases under the charge of the user among a plurality of cases under the charge of the user on the basis of a distance between the specified first person concerned and the user. The information processing device 101 controls the display of information about the plurality of cases under the charge of the user on the basis of the calculated index value of the first case.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a display control program, a display control method, and an information display system.

  When social welfare-related local government staff handle consultations from residents, they are often involved with multiple related organizations such as the home, school, police, and fire department, multiple related departments within the local government, or neighboring residents. For this reason, local government staff may visit institutions, other departments, or private houses related to the project in addition to the department to which they belong in order to resolve the project in charge.

  As prior art, for example, information related to a care recipient (residence area information, residence location information, etc.) and home helper information (home helper location information, location information) are stored in each information. There are those that make care plans based on them. In addition, there is a technique for enabling cooperation between a plurality of business operators performing various care service businesses.

JP 2001-306701 A JP 2002-215800 A

  However, in the conventional technology, when a user is in charge of multiple projects in parallel, the project that the user is trying to start / restart at a certain point in time, or the project that the user should start It cannot be specified and it is difficult to support the user's work.

  In one aspect, an object of the present invention is to support the work of a user in charge of a plurality of matters.

  According to one aspect of the present invention, the first related party to which the user is approaching is identified and identified based on the time-series change of the position information of the user and the position information of each of the plurality of related parties. Based on the distance between the first related person and the user, the possibility of starting or resuming the work of the first case related to the first related person among a plurality of cases handled by the user A display control program and a display control method for calculating an index value indicating height and controlling display of information about the plurality of cases based on the calculated index value of the first case are proposed.

  Further, according to one aspect of the present invention, based on a terminal having a function of acquiring position information of the terminal itself, a time-series change of the position information of the terminal, and position information of each of a plurality of parties, The first party concerned is identified, and the first party concerned is selected from among a plurality of cases handled by the user of the terminal based on the distance between the identified first party and the terminal. An index value indicating a high possibility of starting or resuming the work of the first case related to the is calculated, and based on the calculated index value of the first case, information on the plurality of cases in the terminal is calculated. An information display system including an information processing device that controls display is proposed.

  According to one aspect of the present invention, it is possible to support the work of a user in charge of a plurality of matters.

FIG. 1 is an explanatory diagram of an example of the display control method according to the first embodiment. FIG. 2 is an explanatory diagram illustrating a system configuration example of the information display system 200. FIG. 3 is a block diagram illustrating a hardware configuration example of the information processing apparatus 101. FIG. 4 is a block diagram illustrating a hardware configuration example of the terminal Ti. FIG. 5 is an explanatory diagram showing an example of the contents stored in the related person DB 220. FIG. 6 is an explanatory diagram showing an example of the contents stored in the case DB 230. FIG. 7 is an explanatory diagram showing an example of the contents stored in the position information history DB 240. FIG. 8 is an explanatory diagram showing an example of the contents stored in the report DB 250. FIG. 9 is an explanatory diagram showing an example of the contents stored in the keyword / cooperation destination DB 260. FIG. 10 is a block diagram illustrating a functional configuration example of the information processing apparatus 101. FIG. 11 is an explanatory diagram illustrating an example of the contents stored in the proximity party intermediate table 1100. FIG. 12 is an explanatory diagram showing an example of the contents stored in the incomplete matter intermediate table 1200. FIG. 13 is an explanatory diagram showing an example of the contents stored in the relationship degree work table 1300. FIG. 14 is an explanatory diagram showing an example of the contents stored in the relationship degree intermediate table 1400. FIG. 15 is an explanatory diagram showing an example of the stored contents of the relationship strength table 1500. FIG. 16 is an explanatory diagram illustrating a screen example of the incomplete matter list 1600. FIG. 17 is a flowchart illustrating an example of the display control processing procedure of the information processing apparatus 101. FIG. 18 is a flowchart illustrating an example of a specific processing procedure of the proximity party specifying process. FIG. 19 is a flowchart illustrating an example of a specific processing procedure of the incomplete matter extraction processing. FIG. 20 is a flowchart (part 1) illustrating an example of a specific processing procedure of the relationship degree calculation processing. FIG. 21 is a flowchart (part 2) illustrating an example of a specific processing procedure of the relationship degree calculation processing. FIG. 22 is a flowchart (part 3) illustrating an example of a specific processing procedure of the relationship degree calculation processing. FIG. 23 is a flowchart (part 1) illustrating an example of a specific processing procedure of the relationship strength calculation processing. FIG. 24 is a flowchart (part 2) illustrating an example of a specific processing procedure of the relationship strength calculation processing.

  Hereinafter, embodiments of a display control program, a display control method, and an information display system according to the present invention will be described in detail with reference to the drawings.

(Embodiment 1)
FIG. 1 is an explanatory diagram of an example of the display control method according to the first embodiment. In FIG. 1, an information processing apparatus 101 is a computer that controls display of information about a case handled by a user. The terminal 102 is a portable computer used by the user. The user is a person (person in charge) in charge of the project, for example, a staff member of a local government or a company, or a local welfare officer.

  A matter is a matter to be solved. Examples of the projects include consultation projects from residents sent to social welfare-related local governments, and request projects sent from customers to service providers. In the case of such a case, the user may solve the case while being involved with a plurality of related parties, related organizations, and related departments.

  Moreover, a user may be in charge of many cases in parallel. In this case, the user refers to the list of cases that summarizes the information (for example, the case name, contents, etc.) of the case that he / she is in charge of, and determines the case to start or resume the next work, I often check the contents.

  However, when displaying the list of items, if the information about each item is simply arranged in the order according to the item name and update date, it may take time and effort for the user to display the target item information. There is. Furthermore, as the number of cases in charge increases, the number of related parties, related organizations, etc. increases, and it becomes difficult to determine which case can be efficiently processed by starting / resuming work next.

  Therefore, in the first embodiment, a display control method for supporting the work of a user who is in charge of a plurality of cases will be described. Hereinafter, a processing example of the information processing apparatus 101 will be described. Here, it is assumed that the user P1 is in charge of the cases 1 to 3. The related person P2 is a person related to the case 1, the related person P3 is a person related to the case 2, and the related person P4 is a person related to the case 3. In addition, it is assumed that the user P1 moves to go to meet a related person P3 related to the case 2 with the terminal 102 when starting the work of the case 2.

  (1) The information processing apparatus 101 acquires user position information. Here, the position information is information for specifying one point on the earth such as latitude, longitude, and altitude. Specifically, for example, the information processing apparatus 101 receives the position information of the terminal 102 that is periodically transmitted from the terminal 102, thereby acquiring the position information of the user P1 of the terminal 102.

  (2) The information processing apparatus 101 identifies the first related person that the user is approaching based on the time-series change of the position information of the user and the position information of each of the plurality of related parties. Specifically, for example, the information processing apparatus 101 has a first relationship in which the user P1 is approaching based on the latest position information of the user P1 and the position information of the user P1 before a certain time T. Identify the person. The fixed time T can be arbitrarily set, and is set to, for example, several minutes to several tens of minutes.

  More specifically, for example, the information processing apparatus 101 calculates a distance K ′ between the position information of the user P1 before a predetermined time T and the position information of the related parties P2 to P4 recorded in advance. Further, the information processing apparatus 101 calculates a distance K between the latest position information of the user P1 and the position information of each of the related parties P2 to P4. Then, the information processing apparatus 101 identifies a party having a distance K that is smaller than the distance K ′ among the parties P2 to P4 as a first party.

  In the example of FIG. 1, among the related persons P2 to P4, related persons P3 and P4 to which the user P1 is approaching are specified as the first related persons.

  (3) The information processing apparatus 101 starts work on the first case related to the first party among a plurality of cases handled by the user based on the identified distance between the first party and the user. Or the index value which shows the high possibility of restarting is calculated.

  Here, among those who are close to the user, those who are closer to the user are more likely to be involved with the user or more likely to be in a place where the user can easily face. It can be said that it is a person. For this reason, for example, the information processing apparatus 101 can start or resume the work of the first case related to the first party so that the value increases as the distance between the first party and the user decreases. An index value indicating the height of sex may be calculated.

  In the example of FIG. 1, the distance between the related person P3 and the user P1 is “K1”. The distance between the related person P4 and the user P1 is “K2” (where K2> K1). For this reason, the information processing apparatus 101 may start or restart the work for each case 2 and 3 related to the related parties P3 and P4 based on the distances K1 and K2 with the related parties P3 and P4. Index values X1 and X2 indicating the height are calculated (where X1> X2).

  (4) The information processing apparatus 101 controls display of information on a plurality of cases handled by the user based on the calculated index value of the first case. Specifically, for example, the information processing apparatus 101 may display a list of information about a plurality of cases so that the display order of information about cases with a high calculated index value is high.

  Further, when displaying information on a plurality of cases, the information processing apparatus 101 may highlight information on cases having a high calculated index value. More specifically, for example, the information processing apparatus 101 displays information on cases where the calculated index value is equal to or greater than a threshold value or some of the top cases where the calculated index value is high by changing the character color or background color. You may decide to do it.

  In the example of FIG. 1, the index values X1 and X2 are calculated for the cases 2 and 3 among the cases 1 to 3 handled by the user P1, and the index value X1 of the case 2 is larger than the index value X2 of the case 3 . In this case, for example, the information processing apparatus 101 performs control to display a list of information on the cases 1 to 3 on the display 110 of the terminal 102 in the order of case 2 → case 3 → case 1.

  As described above, according to the information processing apparatus 101 according to the first embodiment, the work of the first case related to the first related party is started based on the distance from the first related party that the user is approaching. Or the index value which shows the high possibility of restarting can be calculated. Then, according to the information processing apparatus 101, it is possible to control display of information on a plurality of cases handled by the user based on the calculated index value of the first case.

  As a result, when displaying information on multiple projects that the user is in charge of, the information about the projects that the user is likely to start or resume at that time is displayed or emphasized preferentially. Can be displayed. For this reason, it becomes easy for a user to search for information on a target case, and the work of a user in charge of a plurality of cases can be supported.

  In the example of FIG. 1, when the information about the cases 1 to 3 handled by the user P1 is displayed as a list, the information about the case 2 is displayed at the top. As a result, the user P1 can immediately find out information on the item that the user intends to start work from, that is, the target item 2.

(Embodiment 2)
Next, the information processing apparatus 101 according to the second embodiment will be described. Note that description of portions similar to those described in the first embodiment is omitted.

  First, a system configuration example of the information display system 200 including the information processing apparatus 101 according to the second embodiment will be described. Here, a case where the information display system 200 is introduced into a social welfare local government will be described as an example.

  FIG. 2 is an explanatory diagram illustrating a system configuration example of the information display system 200. In FIG. 2, the information display system 200 includes an information processing apparatus 101 and terminals T1 to Tn (n: a natural number of 2 or more). In the information display system 200, the information processing apparatus 101 and the terminals T1 to Tn are connected via a wired or wireless network 210. The network 210 is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, a mobile communication network, or the like.

  The information processing apparatus 101 includes a related person DB (Database) 220, a case DB 230, a position information history DB 240, a report DB 250, and a keyword / cooperation destination DB 260, and controls display of information on the terminals T1 to Tn. The information processing apparatus 101 is a server, for example. The contents stored in the various DBs 220, 230, 240, 250, and 260 will be described later with reference to FIGS.

  Terminals T1 to Tn are computers used by users of the information display system 200 and have a function of acquiring position information of the terminal itself. The terminals T1 to Tn periodically acquire the position information of the own terminal, and transmit the acquired position information of the own terminal to the information processing apparatus 101. The user of the information display system 200 is, for example, a local government employee or a local welfare officer. The terminals T1 to Tn are, for example, tablet PCs (Personal Computers), notebook PCs, smartphones, and the like.

  In the following description, an arbitrary terminal among the terminals T1 to Tn may be expressed as “terminal Ti” (i = 1, 2,..., N). Note that the terminal 102 illustrated in FIG. 1 corresponds to the terminal Ti, for example.

(Hardware configuration example of information processing apparatus 101)
FIG. 3 is a block diagram illustrating a hardware configuration example of the information processing apparatus 101. In FIG. 3, the information processing apparatus 101 includes a CPU (Central Processing Unit) 301, a memory 302, an I / F (Interface) 303, a disk drive 304, and a disk 305. Each component is connected by a bus 300.

  Here, the CPU 301 governs overall control of the information processing apparatus 101. The memory 302 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), and a flash ROM. Specifically, for example, a flash ROM or ROM stores various programs, and a RAM is used as a work area for the CPU 301. The program stored in the memory 302 is loaded into the CPU 301 to cause the CPU 301 to execute the coded process.

  The I / F 303 is connected to the network 210 through a communication line, and is connected to an external computer (for example, the terminals T1 to Tn illustrated in FIG. 2) via the network 210. The I / F 303 controls an interface between the network 210 and the inside of the apparatus, and controls data input / output from an external computer. For example, a modem or a LAN adapter may be employed as the I / F 303.

  The disk drive 304 controls reading / writing of data with respect to the disk 305 according to the control of the CPU 301. The disk 305 stores data written under the control of the disk drive 304. Examples of the disk 305 include a magnetic disk and an optical disk.

  Note that the information processing apparatus 101 may include, for example, an SSD (Solid State Drive), a keyboard, a mouse, and a display in addition to the above-described components. Further, the information processing apparatus 101 may be connected to an auxiliary storage device such as a USB (Universal Serial Bus) memory.

(Example of hardware configuration of terminal Ti)
FIG. 4 is a block diagram illustrating a hardware configuration example of the terminal Ti. In FIG. 4, the terminal Ti includes a CPU 401, a memory 402, a GPS (Global Positioning System) unit 403, an I / F 404, a display 405, and an input device 406. Each component is connected by a bus 400.

  Here, the CPU 401 controls the entire terminal Ti. The memory 402 includes, for example, a ROM, a RAM, a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and the RAM is used as a work area of the CPU 401. The program stored in the memory 402 is loaded on the CPU 401 to cause the CPU 401 to execute the coded process.

  The GPS unit 403 receives radio waves from GPS satellites and outputs position information of the terminal Ti. The position information of the terminal Ti includes information specifying one point on the earth such as latitude, longitude, and altitude. In addition, the terminal Ti may correct the position information output from the GPS unit 403 by DGPS (Differential GPS).

  The I / F 404 includes a wireless communication circuit and an antenna, and is connected to another computer (for example, the information processing apparatus 101) via the network 210. The I / F 404 controls the interface between the network 210 and the own apparatus, and controls data input / output from other computers.

  A display 405 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. As the display 405, for example, a liquid crystal display, an organic EL (Electroluminescence) display, or the like can be adopted.

  The input device 406 has keys for inputting characters, numbers, various instructions, and the like, and inputs data. The input device 406 may be a keyboard or a mouse, or may be a touch panel type input pad or a numeric keypad.

  Note that the terminal Ti may include, for example, an acceleration sensor, a gyro sensor, a disk drive, a disk, an SSD, and the like in addition to the components described above. The terminal Ti may be connectable to an auxiliary storage device such as a USB memory.

(Storage contents of various DBs 220, 230, 240, 250, 260)
Next, the storage contents of the various DBs 220, 230, 240, 250, and 260 included in the information processing apparatus 101 will be described with reference to FIGS. The storage contents of the various DBs 220, 230, 240, 250, and 260 are realized by storage devices such as the memory 302 and the disk 305 shown in FIG.

  FIG. 5 is an explanatory diagram showing an example of the contents stored in the related person DB 220. In FIG. 5, the related person DB 220 has fields of related person ID, institution name, affiliation name, name, contact information, and location information. By setting information in each field, related person information (for example, related person) Information 500-1 to 500-12) is stored as a record.

  Here, the party ID is an identifier that uniquely identifies the party. A related person is a person who is related to a case handled by a user of the information display system 200. As related persons, for example, target persons and reporters of projects, neighboring residents, officials of government offices, police personnel, fire fighters, hospital personnel, and the like are registered. The institution name is the name or address of the institution (related institution, residence, etc.) to which the related person belongs.

  The affiliation name is the department or section to which the related person belongs and the title of the related person. The affiliation name “resident” indicates that the related person is a resident. The name is the name of the person concerned. The contact information is an e-mail address or a telephone number that is a contact information of a related person. The position information is latitude, longitude, and altitude (m) information that identifies the positions of the parties concerned. As the position information of the related person, for example, information for specifying the position of an organization, a department, a residence or the like that is the main activity base of the related person is set.

  In the following description, a party with the party ID “#” may be referred to as “participant #”. As an example, a party with the party ID “p1” may be referred to as “participant p1”.

  FIG. 6 is an explanatory diagram showing an example of the contents stored in the case DB 230. In FIG. 6, the matter DB 230 has fields of matter ID, matter type, drafting date, person in charge ID, subject, related person list, contents, status, and report list. By setting information in each field, the matter DB 230 Information (for example, item information 600-1 to 600-4) is stored as a record.

  Here, the case ID is an identifier for uniquely identifying a case handled by the local government. The item type is the type of item. Examples of the project type include application, child abuse, resident trouble, DV (domestic violence), and the like. The drafting date is the date when the project was drafted.

  The person-in-charge ID is an identifier that uniquely identifies the user (person in charge) who is in charge of the matter. The target is the related person ID of the person (target person) who is the target in the case. The related person list is a list of related person IDs of related persons related to the case. The contents indicate the contents of the case. The state is a state indicating a response status to the matter. As the status, any one of “Not supported”, “Handling”, “Hold” and “Completed” is set.

  Unsupported indicates a state in which no action is performed on the matter. “Handling” indicates a state in which the progress is continuously observed while dealing with the case. On-hold indicates a state in which the response to the case is temporarily stopped and the state is viewed. Response completion indicates a state in which the response to the matter has been completed. The report list is a list of report IDs of reports created for projects.

  In the following description, a case with the case ID “#” may be described as “case #”. As an example, a case with the case ID “m1” may be expressed as “case m1”.

  FIG. 7 is an explanatory diagram showing an example of the contents stored in the position information history DB 240. In FIG. 7, the position information history DB 240 has fields of user ID, acquisition time, latitude, longitude, and altitude. By setting information in each field, position information (for example, 700-1 to 700-3). ) As a record.

  Here, the user ID is an identifier for uniquely identifying the user of the information display system 200, that is, the user of the terminal Ti. The acquisition time is the date and time when the location information of the user of the terminal Ti is acquired at the terminal Ti. The latitude, longitude, and altitude are information for specifying the position of the user (terminal Ti).

  FIG. 8 is an explanatory diagram showing an example of the contents stored in the report DB 250. In FIG. 8, the report DB 250 has fields of a report ID, a corresponding case ID, a description date, an entrant ID, and a content. By setting information in each field, report information (for example, report information) 800-1 to 800-7) are stored as records.

  Here, the report ID is an identifier for uniquely identifying a report created for a case. The report describes what to report about the case. The report is created, for example, when a consultation about a case is received from a resident or when some kind of response is made to the case. The corresponding case ID is the case ID of the case corresponding to the report. The description date is the date when the report is created, and corresponds to the date when the contents of the report are reported. The writer ID is an identifier that uniquely identifies the person who created the report. The contents are the contents of the report.

  In the following description, a report with a report ID “#” may be referred to as “report #”. As an example, a report with a report ID “r1” may be represented as “report r1”.

  FIG. 9 is an explanatory diagram showing an example of the contents stored in the keyword / cooperation destination DB 260. In FIG. 9, the keyword / cooperation destination DB 260 has fields of a project type, a keyword, and a party ID, and sets information in each field, so that keyword / cooperation destination information (for example, keyword / cooperation destination information 900- 1 to 900-8) are stored as records.

  Here, the item type is the item type. The keyword is a keyword related to the item corresponding to the item type. As a keyword, for example, a word that appears frequently in a report of a case corresponding to a case type is set. Also, a plurality of words may be set using “&” symbols or the like as keywords.

  The party ID is an identifier that uniquely identifies a party related to the keyword. However, <> indicates a participant type. For example, <school> indicates a school person. As the related person ID, for example, a related party ID or a related party ID of the target person who is highly likely to be involved during the response to the case corresponding to the case type is set.

  According to the keyword / cooperation destination information, it is possible to specify a party who is highly likely to be involved in a project of each project type based on the keyword. For example, according to the keyword / collaboration information 900-1, based on the keyword “school”, the related person “school official” who is highly likely to be involved in the project type “abuse to child” is specified. Can do.

(Functional configuration example of the information processing apparatus 101)
Next, a functional configuration example of the information processing apparatus 101 according to the second embodiment will be described.

  FIG. 10 is a block diagram illustrating a functional configuration example of the information processing apparatus 101. In FIG. 10, the information processing apparatus 101 includes an acquisition unit 1001, a reception unit 1002, a first specification unit 1003, an extraction unit 1004, a second specification unit 1005, a first calculation unit 1006, 2 calculation unit 1007 and display control unit 1008. The acquisition unit 1001 to the display control unit 1008 are functions as control units. Specifically, for example, by causing the CPU 301 to execute a program stored in a storage device such as the memory 302 and the disk 305 illustrated in FIG. Alternatively, the function is realized by the I / F 303. The processing result of each functional unit is stored in a storage device such as the memory 302 and the disk 305, for example.

  The acquisition unit 1001 acquires position information of the user of the information display system 200. The user location information includes, for example, user ID, acquisition time, latitude, longitude, and altitude information. Specifically, for example, the acquisition unit 1001 acquires the position information of the user of the terminal Ti by receiving the position information of the terminal Ti periodically transmitted from the terminal Ti. The acquired user location information is stored in, for example, the location information history DB 240 shown in FIG.

  The accepting unit 1002 accepts a case list display request from the terminal Ti. Here, the item list display request is a request to display a list of information on items for which the user is in charge. The case list display request includes, for example, a user ID that uniquely identifies the user.

  In the following description, in describing specific processing contents of each functional unit, as an example, the user of the terminal Ti may be described as the user with the user ID “emp1”. That is, the case where the user ID “emp1” is included in the display request for the case list may be described as an example.

  The 1st specific | specification part 1003 specifies the 1st party to whom the user is approaching based on the time series change of a user's positional information, and the positional information on each of several parties. Specifically, for example, first, the first specifying unit 1003 obtains the latest location information (hereinafter, “location information”) corresponding to the user ID “emp1” included in the request for displaying the list of cases from the location information history DB 240. P1 ”).

  Next, the first specifying unit 1003 acquires position information (hereinafter referred to as “position information P0”) a predetermined time T before the acquisition time of the position information P1. The position information P0 is, for example, the latest position information acquired before a certain time T (for example, 10 minutes) before the acquisition time of the position information P1, or the latest information acquired after a time before the certain time T. It is old location information.

  Next, the first specifying unit 1003 refers to the party DB 220 and calculates a distance K ′ between the position information of the party different from the user and the position information P0 of the user (terminal Ti). The first specifying unit 1003 calculates a distance K between the position information of the concerned party and the position information P1 of the user (terminal Ti). Note that the first specifying unit 1003 may calculate the distances K and K ′ in its own device, or use an external distance calculation service connected via the network 210 to determine the distances K and K. You may calculate '.

  Then, the first specifying unit 1003 determines whether or not the calculated distance K is smaller than the distance K ′. Here, when the distance K is smaller than the distance K ′, the first specifying unit 1003 determines that the user is approaching the related person and specifies the related person as the first related person. May be. On the other hand, when the distance K is equal to or greater than the distance K ′, the first specifying unit 1003 determines that the user is moving away from the related person and does not specify the related person as the first related person.

  Thereby, the distance with the user is shorter than the predetermined time T, that is, it is possible to specify the related person who is approaching as the first related person. In other words, it is possible to identify the first related party who is highly likely to be involved with the user or who is likely to be in a place where the user can easily face.

However, even if the user is approaching a related person, the distance from the related person may be greatly separated. For this reason, the first specifying unit 1003 may specify the related person as the first related person when the distance K is smaller than the distance K ′ and the distance K is less than the threshold value K _th. . The threshold value K _th can be arbitrarily set, and is set to about several hundred meters to several kilometers, for example.

As a result, it is possible to specify a person who is approaching when the distance K is less than the threshold K _th as the first person. In other words, even when the user is approaching, it is possible to prevent a party who is too far away from the user from being identified as the first party.

  In the following description, the identified first party may be referred to as “proximity party”.

  The related party ID and distance K of the specified proximity party are stored in, for example, a proximity party intermediate table 1100 as shown in FIG. The proximity person intermediate table 1100 is realized by a storage device such as the memory 302 and the disk 305, for example. Here, the contents stored in the proximity party intermediate table 1100 will be described.

  FIG. 11 is an explanatory diagram illustrating an example of the contents stored in the proximity party intermediate table 1100. In FIG. 11, the proximity related person intermediate table 1100 includes fields of a related person ID and a distance. By setting information in each field, the proximity related person information 1100-1 and 1100-2 are stored as records.

  Here, the related party ID is an identifier for uniquely identifying a proximity related party (first related party). The distance is a distance K between the position information of the proximity parties and the latest position information P1 of the user. For example, the proximity party information 1100-1 indicates the distance “104.58 (m)” between the user with the user ID “emp1” and the proximity party with the party ID “p2”.

  Returning to the description of FIG. 10, the extraction unit 1004 extracts an incomplete matter among matters handled by the user of the terminal Ti. Here, an incomplete item is an item for which correspondence has not been completed. Specifically, for example, the extraction unit 1004 sets the user ID “emp1” in the person-in-charge ID field from the case DB 230 illustrated in FIG. 6, and sets “not supported” and “supporting” in the status field. And Item information for which either "Hold" is set is extracted.

  The extracted item information is stored in, for example, an incomplete item intermediate table 1200 as shown in FIG. The incomplete matter intermediate table 1200 is realized by a storage device such as the memory 302 and the disk 305, for example. Here, the contents stored in the incomplete matter intermediate table 1200 will be described.

  FIG. 12 is an explanatory diagram showing an example of the contents stored in the incomplete matter intermediate table 1200. In FIG. 12, an incomplete matter intermediate table 1200 has fields of a matter ID, a matter type, a drafting date, a person in charge ID, a target, a related person list, contents, a status, and a report list, and sets information in each field. As a result, the incomplete matter information 1200-1 to 1200-3 is stored as a record.

  The incomplete matter information 1200-1 to 1200-3 is information indicating the incomplete matter of the user with the user ID “emp1”, and corresponds to the matter information 600-2 to 600-4 illustrated in FIG.

  Returning to the description of FIG. 10, the second specifying unit 1005 corresponds to the keyword corresponding to the keyword described in the report of the first case related to the specified proximity related person among the plurality of cases handled by the user. 2 Identify the parties involved. Here, the first case is a case in which the related person ID of the close related person is included in the related person list. Further, the plurality of cases handled by the user are, for example, incomplete cases extracted by the extraction unit 1004.

  For example, when attention is paid to the proximity party p2 of the user with the user ID “emp1” shown in FIG. 11, the first case related to the proximity party p2 is the uncompleted case (cases m2 to m4 shown in FIG. 12). ) Is a case m4 including the related party ID “p2” in the related party list. Also, as shown in FIG. 8, the reports created for the case m4 are reports r4 to r6.

  As an example, when focusing on the report r5, the second specifying unit 1005 refers to, for example, the keyword / cooperation destination DB 260 illustrated in FIG. 9, and second related parties corresponding to the keywords described in the report r5. Is identified. Specifically, for example, first, the second specifying unit 1005 refers to the keyword / cooperation destination DB 260 and searches for the keywords “significant & no response”, “big” corresponding to the item type “DV” of the item m4. Get "Sound & Sign & No Response" and "Injury".

  Next, the second specifying unit 1005 refers to the report DB 250 illustrated in FIG. 8 and determines whether or not each acquired keyword is included in the content of the report r5. In the example of the report r5 illustrated in FIG. 8, the second specifying unit 1005 determines that the keyword “there is a sign & no response” is included in the content of the report r5.

  In this case, the second specifying unit 1005 refers to the keyword / cooperation destination DB 260 and specifies the related person ID “p3 police station (resident consultation section)” corresponding to the keyword “there is a sign & no response”. In FIG. 9, “police station (resident consultation section)” behind the related person ID “p3” is supplementary information.

  Thereby, the related person p3 can be specified as the second related person corresponding to the keyword described in the report r5 of the case m4 related to the proximity related person p2.

  The first calculation unit 1006 is a value indicating the degree of relationship between the first case and the identified second party based on the elapsed time since the report of the first case was created (hereinafter referred to as “first” 1) is calculated. Here, the elapsed time from the creation of the report is represented, for example, by the difference in the number of days from the report description date (see FIG. 8) to the current date. The current date is, for example, the date when a request for displaying a list of cases is received from the terminal Ti.

  In other words, the shorter the elapsed time since the report of the first project was created, the more recently the report was created. In the near future, the user (the person in charge of the first project) It can be said that there is a high possibility of being involved with the second party identified from the keywords described. For this reason, for example, the first calculation unit 1006 sets the first calculation unit 1006 so that the degree of relationship between the first case and the second party increases as the elapsed time from the creation of the report of the first case decreases. One degree of relationship may be calculated.

  Further, if the state of the first case is “in response”, it can be said that the user is likely to be involved with the second related party sooner than in the case of “pending” or “not compatible”. For this reason, the first calculation unit 1006, when the report status of the first case is “in response”, the first case and the second related party, compared to the case of “pending” or “not compatible”. The first degree of relationship may be calculated so that the degree of relationship with.

  In addition, if the status of the first case is “pending”, the response to the case has been intentionally stopped, so the user will soon be in the first case compared to the case of “not responding” or “not responding”. 2 It can be said that there is a low possibility of being involved with related parties. For this reason, the first calculation unit 1006, when the state of the report of the first case is “pending”, compared to the case of “being supported” or “not supported”, the first case and the second related party. The first degree of relationship may be calculated so that the degree of relationship is reduced.

  Specifically, for example, the first calculation unit 1006 can calculate the first degree of relationship indicating the degree of relationship between the first case and the second party using the following formula (1). However, the degree of relationship indicates the degree of relationship between the case and the related party. α is a constant and is set to a value of about 10 to 100, for example. <State value> is a value determined according to the state of the matter. Here, <state value> is “2” if the case state is “in response”, “1” if the case state is “not supported”, and the case state is “pending”. If there is, it becomes “0”. <Day difference> is the difference in days between the date of the report and the current date.

    Degree of relationship = α × <value of state> × 1 / <day difference> (1)

  As an example, taking the degree of relationship between the case m4 (first case) and the related person p3 (second related person) as an example, the state of the case m4 is “in response”. Further, if the current date is “11/11”, the <day difference> from the description date “11/9” of the report r5 is “2”. The constant α is “α = 10”. In this case, the first degree of relation is “10 (= 10 × 2 × 1/2)” from the above equation (1).

  The calculated first degree of relationship is stored in a relationship degree work table 1300 as shown in FIG. 13 described later in association with, for example, the case ID of the first case and the related party ID of the second related party. .

  Further, the second specifying unit 1005 refers to the keyword / cooperation destination DB 260 and corresponds to the keyword described in the report of the second case different from the first case among the plurality of cases handled by the user. You may decide to specify the 3rd party concerned. That is, regarding a case other than the case related to the proximity related person (first related person), the related person may be specified from the keywords described in the report.

  For example, among the incomplete cases (cases m2 to m4) illustrated in FIG. 12, the cases m2 and m3 are second cases that do not include the related party IDs of the close related persons p2 and p3 in the related person list.

  As an example, focusing on the report r2 (see FIG. 8) of the case m2, first, the second specifying unit 1005 refers to the keyword / cooperation DB 260 and sets the case type “abuse to child” of the case m2. Get the corresponding keywords "school" and "injury". Next, the second specifying unit 1005 refers to the report DB 250 and determines whether or not each acquired keyword is included in the content of the report r2. In the example of the report r2 illustrated in FIG. 8, the second specifying unit 1005 determines that the keyword “school” is included in the content of the report r2.

  In this case, the second specifying unit 1005 refers to the keyword / cooperation destination DB 260 and specifies the related party ID “<school>” corresponding to the keyword “school”. <School> is a related person type indicating a school related person. For this reason, the second specifying unit 1005 refers to the case DB 230 and acquires the related person ID “p1” corresponding to <school> from the related person list of the case m2.

  More specifically, for example, the second specifying unit 1005 includes the related party ID “p1” of the related party that is included in the related party list of the project m2 and includes the word “school” in the institution name of the institution to which the project belongs. Is obtained. The institution name of the institution to which the related person belongs is specified from the related person DB 220. As a result, it is possible to specify the related party with the related party ID “p1” as the third related party corresponding to the keyword “school” described in the report r2 of the case m2.

  In some cases, the related person ID “<target person>” is specified as the related person ID corresponding to the keyword. In this case, for example, the second specifying unit 1005 may refer to the case DB 230 and specify the related person with the related person ID set in the target field of the case as the third related person.

  The first calculation unit 1006 also has a second relationship indicating the degree of relationship between the second case and the identified third party based on the elapsed time since the report of the second case was created. The degree (hereinafter referred to as “second relation degree”) may be calculated. That is, a value indicating the degree of relationship with a related party identified from a keyword described in a report may be calculated for a case other than a case related to a proximity related person (first related person).

  Specifically, for example, the first calculation unit 1006 can calculate the second degree of relation indicating the degree of relation between the second case and the third party using the above formula (1).

  As an example, taking the degree of relationship between the case m2 (second case) and the related person p1 (third related person) as an example, the state of the case m2 is “unsupported”. If the current date is “11/11”, the <number of days difference> from the description date “11/5” of the report r2 is “6”. The constant α is “α = 10”. In this case, the second degree of relation is “1.7 (≈10 × 1 × 1/6)” from the above equation (1).

  The calculated second degree of relationship is stored in the relationship degree work table 1300 shown in FIG. 13 in association with, for example, the case ID of the second case and the related party ID of the third related party. The relationship degree work table 1300 is realized by a storage device such as the memory 302 and the disk 305, for example. Here, the contents stored in the relationship degree work table 1300 will be described.

  In the following description, the specified second party or third party may be referred to as a “cooperation destination party”.

  FIG. 13 is an explanatory diagram showing an example of the contents stored in the relationship degree work table 1300. In FIG. 13, the relationship degree work table 1300 has fields of a case ID, a case type, a state, a report ID, a keyword included in the report, a description date, a party ID, and a degree of relation. Information is stored in each field. Is set, the relationship degree work information 1300-1 to 1300-5 is stored as a record.

  Here, the case ID is an identifier for uniquely identifying the case. The item type is the type of item. The state is the state of the matter. The report ID is an identifier that uniquely identifies a report created for a case. The keyword is a keyword included in the report. The description date is the date on which the report was created. The related party ID is an identifier for uniquely identifying a cooperation destination related party (second related party or third related party). The degree of relation is a value indicating the degree of relation between the case and the related party, and is the first degree of relation or the second degree of relation described above.

  Returning to the description of FIG. 10, the second calculation unit 1007 calculates an index value indicating a high possibility of starting or resuming the work of the matter handled by the user. In the following description, an index value indicating a high possibility of starting or resuming work on a case may be referred to as “relationship strength”.

  Specifically, for example, the second calculation unit 1007 starts or resumes the work of the first case related to the proximity party based on the distance K between the proximity party (first party) and the user. You may decide to calculate the relation strength which shows the high possibility of doing. More specifically, for example, the second calculation unit 1007 may calculate the relationship strength of the first case so that the relationship strength increases as the distance K is shorter.

  In addition, the second calculation unit 1007 calculates the relationship strength of the first case based on the first degree of relationship indicating the degree of relationship between the first case and the related party (second related party), for example. You may decide. More specifically, for example, the second calculation unit 1007 may calculate the relationship strength of the first case so that the relationship strength increases as the first relationship degree increases.

  Further, the second calculation unit 1007 may calculate the relationship strength of the first case based on the first degree of relationship and the distance K, for example. More specifically, for example, the second calculation unit 1007 calculates the relationship strength of the first case so that the relationship strength increases as the first relationship degree increases and the distance K decreases. Also good.

  Further, for example, the second calculation unit 1007 calculates the relationship strength of the second case based on the second degree of relation indicating the degree of relation between the second case and the related party (third party). You may decide. More specifically, for example, the second calculation unit 1007 may calculate the relationship strength of the second case so that the relationship strength increases as the second relationship degree increases.

  Hereinafter, with reference to FIG. 14, specific processing contents for calculating the relationship strength of incomplete cases including the first case and the second case will be described.

  First, the second calculation unit 1007 refers to the relationship degree work table 1300 shown in FIG. 13 and adds the degree of relationship of the combination for each combination of the case ID and the party ID, as shown in FIG. Is stored in the relationship degree intermediate table 1400 as shown in FIG. The relationship degree intermediate table 1400 is realized by a storage device such as the memory 302 and the disk 305, for example.

  FIG. 14 is an explanatory diagram showing an example of the contents stored in the relationship degree intermediate table 1400. In FIG. 14, the relationship level intermediate table 1400 has fields of a case ID, a party ID, and a relationship level. By setting information in each field, the relationship level information 1400-1 to 1400-4 is stored as a record. To do.

  Here, the case ID is an identifier for uniquely identifying a case (incomplete case). The related person ID is an identifier for uniquely identifying a related person (cooperation destination related person). The degree of relation is a value obtained by adding the degree of relation indicating the degree of relation between the case (unfinished case) corresponding to the combination and the related person (cooperation destination related person) for each combination of the case ID and the related person ID. is there.

  Next, the second calculation unit 1007 refers to the relationship degree intermediate table 1400 and identifies the degree of relationship corresponding to the case ID of the incomplete case for each incomplete case. Then, the second calculation unit 1007 calculates the relationship strength of the incomplete case by adding the specified degree of relationship to the relationship strength.

  Here, when the case m2 is taken as an example of the incomplete case, the second calculation unit 1007 refers to the relation degree intermediate table 1400, and the degree of relation “1.7” corresponding to the case ID “m2” of the case m2. Is specified. In this case, the second calculation unit 1007 calculates the specified degree of relationship “1.7” as the relationship strength of the case m2.

  Further, the second calculation unit 1007 refers to the proximity party intermediate table 1100 to identify the party ID of the proximity party. Then, the second calculation unit 1007 refers to the case DB 230 to determine whether or not the identified related party ID is included in the related list of uncompleted cases. Here, when it is included in the related party list, the second calculating unit 1007 refers to the proximity related party intermediate table 1100 and adds a value based on the distance K corresponding to the specified related party ID to the relationship strength. By doing so, the relationship strength of the incomplete case is calculated.

  A value based on the distance K is represented by “β / K”, for example. β is a constant that can be arbitrarily set, and is set to a value of about 1000. As a result, the relationship strength of the uncompleted case is calculated such that the value of the relationship strength increases as the distance K between the user and the adjacent parties is shorter.

  Here, when the case m4 is taken as an example of the incomplete case and the related person p2 is taken as an example of the close relationship person, the second calculation unit 1007 refers to the case DB 230 and the related person ID “p2” It is determined whether or not it is included in the related party list of the project m4. Here, the related person ID “p2” is included in the related person list of the project m4. Therefore, the second calculation unit 1007 refers to the proximity related person intermediate table 1100, and based on the distance K “104.58 (m)” corresponding to the related person ID “p2” as the relation strength of the case m4. The value “β / K” is added. For example, if the constant β is “β = 1000”, the second calculation unit 1007 sets a value based on the distance K “104.58 (m)” corresponding to the related party ID “p2” as the relationship strength of the case m4. “9.56 (≈1000 / 104.58)” is added.

  The calculated relationship strength of the case is stored in a relationship strength table 1500 as shown in FIG. 15 in association with the case ID of the case, for example. The relationship strength table 1500 is realized by a storage device such as the memory 302 and the disk 305, for example.

  FIG. 15 is an explanatory diagram showing an example of the stored contents of the relationship strength table 1500. In FIG. 15, the relationship strength table 1500 includes fields of case ID and relationship strength, and by setting information in each field, the relationship strength information 1500-1 to 1500-3 is stored as a record.

  Here, the case ID is an identifier for uniquely identifying a case (incomplete case). The relationship strength is an index value indicating a high possibility of starting or resuming work on a project. According to the relationship strength table 1500, the incomplete cases of the user with the user ID “emp1” can be ordered in the descending order of the possibility that the user will start or resume work.

  Returning to the description of FIG. 10, the display control unit 1008 controls the display of information about a plurality of cases handled by the user based on the calculated relationship strength of the first case and the second case. Here, the information of the case to be displayed is information on, for example, the case ID, the case type, the draft date, the target, the related party list, the content, the state, and the report.

  Specifically, for example, the display control unit 1008 refers to the relationship strength table 1500 illustrated in FIG. 15 and determines the display order of each item in descending order of relationship strength. Then, the display control unit 1008 may perform control to display a list of information about each case according to the determined display order of each case.

  More specifically, for example, the display control unit 1008 refers to the relationship strength table 1500 to generate screen information of the incomplete matter list 1600 as shown in FIG. Information is transmitted to the terminal Ti. As a result, in the terminal Ti, the incomplete case list 1600 is displayed on the display 405 shown in FIG.

(Screen example of incomplete matter list 1600)
Next, a screen example of the incomplete matter list 1600 displayed on the display 405 of the terminal Ti will be described.

  FIG. 16 is an explanatory diagram illustrating a screen example of the incomplete matter list 1600. In FIG. 16, an incomplete matter list 1600 is a list of matter information 1601 to 1603 of unsupported matters handled by the user with the user ID “emp1”. The case information 1601 to 1603 includes a case ID, a case type, a draft date, a target, contents, a state, and detail buttons B1 to B3.

  Further, when any one of the detail buttons B1 to B3 is selected by the user's operation input using the input device 406 shown in FIG. 4, the detailed information of the case corresponding to the selected button can be confirmed. For example, when the detail button B1 is selected, the related party list, contents, report, etc. of the case m4 can be confirmed.

  According to the incomplete matter list 1600, since the matters are displayed in the order of the high possibility of starting or resuming the work, the user can select the matter that is about to start / restart work or the next matter to be started. It will be easier to find. As a result, it is possible to reduce the time and labor (for example, the number of operations) required until the user displays the information on the target item.

(Display control processing procedure of information processing apparatus 101)
Next, a display control processing procedure of the information processing apparatus 101 will be described.

  FIG. 17 is a flowchart illustrating an example of the display control processing procedure of the information processing apparatus 101. In the flowchart of FIG. 17, the information processing apparatus 101 first determines whether or not a case list display request has been received from the terminal Ti (step S <b> 1701). Here, the information processing apparatus 101 waits to receive a display request for a case list (step S1701: No).

  When the information processing apparatus 101 receives a display request for a case list (step S1701: Yes), the information processing apparatus 101 executes a proximity party specifying process for specifying a proximity party (step S1702). A specific processing procedure of the proximity person specifying process will be described later with reference to FIG.

  Next, the information processing apparatus 101 executes an incomplete matter extraction process for extracting an incomplete matter among matters handled by the user (step S1703). A specific processing procedure of the incomplete matter extraction processing will be described later with reference to FIG.

  Next, the information processing apparatus 101 executes a degree-of-relation calculation process for calculating a degree of relation indicating the degree of relation between the incomplete case and the related party of cooperation (step S1704). A specific processing procedure of the relationship degree calculation process will be described later with reference to FIGS.

  Then, the information processing apparatus 101 executes a relation strength calculation process for calculating the relation strength of the incomplete case (step S1705). A specific processing procedure of the relationship strength calculation processing will be described later with reference to FIGS.

  Next, the information processing apparatus 101 determines the display order of each incomplete item in descending order of the relationship strength based on the calculated relationship strength of the incomplete item (step S1706). Then, the information processing apparatus 101 performs control to display an incomplete matter list for displaying a list of information about each incomplete matter according to the determined display order of each incomplete matter (step S1707). Terminate the process.

  As a result, the incomplete matter list (for example, the incomplete matter list 1600 shown in FIG. 16) displaying a list of information on incomplete matters in order of high possibility that the user of the terminal Ti starts or resumes work, It can be displayed on the display 405 of the terminal Ti.

<Proximity related procedure>
Next, a specific processing procedure of the proximity party specifying process in step S1702 shown in FIG. 17 will be described.

  FIG. 18 is a flowchart illustrating an example of a specific processing procedure of the proximity party specifying process. In the flowchart of FIG. 18, first, the information processing apparatus 101 acquires a user ID included in the item list display request received in step S <b> 1701 illustrated in FIG. 17 (step S <b> 1801).

  Next, the information processing apparatus 101 acquires the latest position information P1 corresponding to the acquired user ID from the position information history DB 240 (step S1802). Then, the information processing apparatus 101 acquires the position information P0 for a predetermined time T from the acquisition time of the position information P1 from the position information history DB 240 (step S1803).

  Next, the information processing apparatus 101 selects unselected related party information from the related party DB 220 (step S1804). The information processing apparatus 101 determines whether the related party ID of the selected related party information matches the user ID (step S1805). If the user ID matches the user ID (step S1805: YES), the information processing apparatus 101 proceeds to step S1810.

  On the other hand, if the user ID does not match (step S1805: NO), the information processing apparatus 101 calculates a distance K ′ between the position information of the selected related party information and the user position information P0 (step S1806). Next, the information processing apparatus 101 calculates a distance K between the position information of the selected related party information and the position information P1 of the user (step S1807).

The information processing apparatus 101 determines whether “K <K ′ and K <K _th ” is satisfied (step S1808). If “K <K ′ and K <K _th ” are not satisfied (step S1808: NO), the information processing apparatus 101 proceeds to step S1810. On the other hand, if “K <K ′ and K <K _th ” (step S1808: Yes), the information processing apparatus 101 associates the related party ID and the distance K of the selected related party information with each other. Registration in the table 1100 (step S1809).

  The information processing apparatus 101 determines whether there is unselected related party information that has not been selected from the related party DB 220 (step S1810). If there is unselected related party information (step S1810: YES), the information processing apparatus 101 returns to step S1804.

  On the other hand, when there is no unselected party information (step S1810: No), the information processing apparatus 101 returns to the step that called the proximity party identification process. Thereby, the related person ID and distance K of the close related person with whom the user of terminal Ti is approaching can be specified.

<Incomplete matter extraction processing procedure>
Next, a specific processing procedure of the incomplete matter extraction process in step S1703 shown in FIG. 17 will be described.

  FIG. 19 is a flowchart illustrating an example of a specific processing procedure of the incomplete matter extraction processing. In the flowchart of FIG. 19, first, the information processing apparatus 101 determines whether there is unselected item information that has not been selected from the item DB 230 (step S1901).

  If there is unselected item information (step S1901: Yes), the information processing apparatus 101 selects unselected item information from the item DB 230 (step S1902). The information processing apparatus 101 determines whether the person-in-charge ID of the selected item information matches the user ID (step S1903).

  If the user ID does not match (step S1903: NO), the information processing apparatus 101 returns to step S1901. On the other hand, if it matches the user ID (step S1903: Yes), the information processing apparatus 101 determines whether or not the status of the selected item information is “correspondence complete” (step S1904).

  If the response is “completion completed” (step S1904: YES), the information processing apparatus 101 returns to step S1901. On the other hand, if it is not “completion of response” (step S1904: No), the information processing apparatus 101 registers the selected item information in the incomplete item intermediate table 1200 (step S1905), and returns to step S1901.

  If there is no unselected matter information (step S1901: No), the information processing device 101 returns to the step that called the uncompleted matter extraction process. As a result, it is possible to extract item information of an incomplete item that has not been handled by the user of the terminal Ti.

<Relationship calculation procedure>
Next, a specific processing procedure of the relationship degree calculation process in step S1704 shown in FIG. 17 will be described.

  20 to 22 are flowcharts illustrating an example of a specific processing procedure of the relationship degree calculation process. In the flowchart of FIG. 20, first, the information processing apparatus 101 refers to the incomplete matter intermediate table 1200 and selects an unselected report ID from the report list of incomplete matters (step S2001).

  The information processing apparatus 101 acquires report information corresponding to the selected report ID from the report DB 250 (step S2002). Next, the information processing apparatus 101 refers to the case DB 230 and identifies the case type corresponding to the target case ID of the acquired report information (step S2003).

  Then, the information processing apparatus 101 refers to the keyword / cooperation destination DB 260 and acquires a keyword corresponding to the identified case type (step S2004). Next, the information processing apparatus 101 determines whether or not the acquired keyword is included in the content of the acquired report information (step S2005).

  Here, when the keyword is not included (step S2005: No), the information processing apparatus 101 refers to the incomplete matter intermediate table 1200, and has not been selected from the incomplete matter report list and has not been selected. It is determined whether or not there is (step S2006). If there is an unselected report ID (step S2006: Yes), the information processing apparatus 101 returns to step S2001.

  If a keyword is included in step S2005 (step S2005: Yes), the information processing apparatus 101 acquires item information corresponding to the target item ID of the acquired report information from the item DB 230 (step S2007).

  The information processing apparatus 101 adds a new record R to the relationship degree work table 1300 and sets the case ID, the case type, and the state of the acquired case information (step S2008). Next, the information processing apparatus 101 sets the report ID and description date of the acquired report information in the new record R (step S2009), and proceeds to step S2101 shown in FIG.

  In the flowchart of FIG. 21, first, the information processing apparatus 101 refers to the keyword / cooperation destination DB 260 and acquires a related party ID or a related party type corresponding to the keyword acquired in step S2004 (step S2101). Then, the information processing apparatus 101 determines whether a related person ID has been acquired (step S2102).

  Here, in the case of the party ID (step S2102: Yes), the information processing apparatus 101 sets the acquired keyword and party ID in the new record R (step S2103), and proceeds to step S2106.

  On the other hand, in the case of the related party type (step S2102: No), the information processing apparatus 101 refers to the related party DB 220 and relates to the acquired related party type from the related party list of the case information acquired in step S2007. A person ID is acquired (step S2104). Then, the information processing apparatus 101 sets the acquired keyword and related party ID in the new record R (step S2105).

  Next, the information processing apparatus 101 calculates the degree of relation indicating the degree of relation between the case of the case ID set in the new record R and the related party of the related party ID using the above formula (1) (step S2106). ). Then, the information processing apparatus 101 sets the calculated degree of relationship in the new record R (step S2107), and proceeds to step S2006 shown in FIG.

  If there is no unselected report ID in step S2006 (step S2006: No), the information processing apparatus 101 proceeds to step S2201 shown in FIG.

  In the flowchart of FIG. 22, first, the information processing apparatus 101 initializes the relationship degree intermediate table 1400 (step S2201). Next, the information processing apparatus 101 determines whether there is unselected relation degree work information that is not selected from the relation degree work table 1300 (step S2202).

  Here, when there is unselected relation degree work information (step S2202: Yes), the information processing apparatus 101 selects unselected relation degree work information from the relation degree work table 1300 (step S2203). Then, the information processing apparatus 101 determines whether or not there is a record RR in the relationship level intermediate table 1400 that has the same combination of the case ID and the related party ID as the selected relationship level work information (step S2204).

  Here, when there is no same record RR (step S2204: No), the information processing apparatus 101 adds a new record RR to the relationship level intermediate table 1400 and selects the case ID and the party ID of the selected relationship level work information. Then, the degree of relationship is set (step S2205), and the process returns to step S2202.

  On the other hand, when there is the same record RR (step S2204: Yes), the information processing apparatus 101 adds the relationship level of the selected relationship level work information to the relationship level of the record RR (step S2206), and returns to step S2202. . When there is no unselected relationship degree work information (step S2202: No), the information processing apparatus 101 returns to the step that called the relationship degree calculation process.

  Thereby, it is possible to calculate the degree of relation indicating the degree of relation between the incomplete case and the related party. Note that, in step S2104 shown in FIG. 21, if the participant ID corresponding to the participant type cannot be acquired, the information processing apparatus 101 proceeds to, for example, step S2006 shown in FIG. Also good.

<Relationship strength calculation procedure>
Next, a specific processing procedure of the relation strength calculation processing in step S1705 shown in FIG. 17 will be described.

  23 and 24 are flowcharts illustrating an example of a specific processing procedure of the relationship strength calculation processing. In the flowchart of FIG. 23, first, the information processing apparatus 101 initializes the relationship strength table 1500 (step S2301). Next, the information processing apparatus 101 refers to the incomplete matter intermediate table 1200 and selects an uncompleted matter that has not been selected (step S2302).

  Next, the information processing apparatus 101 adds a new record R to the relationship strength table 1500 and sets the case ID of the selected incomplete case (step S2303). Then, the information processing apparatus 101 acquires the case ID “A” and the related party list of the selected incomplete case (step S2304).

  Next, the information processing apparatus 101 sets the relationship strength of the selected incomplete case to “0” (step S2305). Then, the information processing apparatus 101 selects the unselected related party ID “B” from the acquired related party list of the incomplete case (step S2306). Next, the information processing apparatus 101 searches the relationship level intermediate table 1400 for relationship level information corresponding to the combination of the case ID “A” and the related party ID “B” (step S2307).

  Here, when the relationship level information is searched (step S2308: Yes), the information processing apparatus 101 adds the relationship level of the searched relationship level information to the relationship strength of the new record R (step S2309). The process proceeds to step S2401 shown in FIG. On the other hand, when the relationship degree information is not retrieved (step S2308: No), the information processing apparatus 101 proceeds to step S2401 illustrated in FIG.

  In the flowchart of FIG. 24, first, the information processing apparatus 101 searches for proximity party information corresponding to the party ID “B” from the proximity party intermediate table 1100 (step S2401). Then, the information processing apparatus 101 determines whether proximity person information has been searched (step S2402).

  Here, when proximity person information is not searched (step S2402: No), the information processing apparatus 101 proceeds to step S2405. On the other hand, when the proximity party information is searched (step S2402: Yes), the information processing apparatus 101 acquires the distance K from the searched proximity party information (step S2403).

  Then, the information processing apparatus 101 adds “1000 / K” based on the acquired distance K to the relationship strength of the new record R (step S2404). Next, the information processing apparatus 101 determines whether there is an unselected related party ID that has not been selected from the related party list of the uncompleted case (step S2405).

  If there is an unselected related party ID (step S2405: YES), the information processing apparatus 101 returns to step S2306 shown in FIG. On the other hand, when there is no unselected related party ID (step S2405: No), the information processing apparatus 101 refers to the uncompleted case intermediate table 1200 to determine whether there is an unselected uncompleted case. Is determined (step S2406).

  If there is an unselected incomplete matter (step S2406: YES), the information processing apparatus 101 returns to step S2302. On the other hand, when there is no unselected incomplete matter (step S2406: No), the information processing apparatus 101 returns to the step that called the relationship strength calculation process.

  As a result, it is possible to calculate the relationship strength indicating the high possibility of starting or resuming the work of the incomplete case among the cases handled by the user of the terminal Ti.

  As described above, according to the information processing apparatus 101 according to the second embodiment, the user approaches based on the time-series change of the position information of the user and the position information of each of a plurality of parties. It is possible to specify a nearby related person (first related person). Thereby, it is possible to identify a party who can be said to be highly likely to be involved with the user or to be in a place where it is easy to face the user.

  Moreover, according to the information processing apparatus 101, the high possibility of starting or resuming the work of the case (first case) related to the close relationship person is indicated based on the distance K between the close relationship person and the user. The relationship strength can be calculated. Thereby, it is possible to evaluate the high possibility that the user starts or restarts the work of the case in consideration of how close the related person (proximity related person) of the case is.

  Further, according to the information processing apparatus 101, it is possible to control the display of information about a plurality of cases handled by the user based on the relationship strength of the case (first case) related to the proximity related person. As a result, for example, when displaying a list of matters handled by the user, it is possible to increase the display priority of information about a matter that the user is likely to start or resume at that time.

  Further, according to the information processing apparatus 101, referring to the keyword / cooperation destination DB 260, the cooperation destination related party (second related party) corresponding to the keyword described in the report of the first case related to the proximity related party. Can be specified. According to the information processing apparatus 101, the first degree indicating the degree of relationship between the first case and the related party (second related person) based on the elapsed time since the report of the first case was created. The degree of relationship can be calculated. Accordingly, it is possible to evaluate the high possibility that the related party and the user specified from the keywords described in the report of the case related to the proximity related party are involved.

  Further, according to the information processing apparatus 101, it is possible to start or resume the work of the case (first case) related to the proximity related person based on the distance K between the proximity related person and the user and the first relation degree. It is possible to calculate the relation strength indicating the height of the sex. As a result, not only how close the related parties (proximity related parties) are, but also how high the possibility that they are involved with the related parties (related party related parties), the user starts work on the project Or the high possibility of restarting can be evaluated.

  Further, according to the information processing apparatus 101, based on the first relation degree, the relation strength indicating the high possibility of starting or resuming the work of the case related to the close relationship person (first case) is calculated. be able to. In this way, it is possible to evaluate the high possibility that the user will start or resume the work of the project, considering how likely it is to be related to the related party of the project (related party). .

  Further, according to the information processing apparatus 101, based on the elapsed time since the report of the first case was created and the response status to the first case, the first case and the related party (second The first degree of relation indicating the degree of relation with the person concerned can be calculated. Accordingly, it is possible to evaluate the high possibility of being related to the related party related party of the case in consideration of the response status (in process, pending, not supported) to the case related to the close related parties.

  Further, according to the information processing apparatus 101, referring to the keyword / cooperation destination DB 260, the type of the first case related to the proximity related parties and the cooperation destination related parties corresponding to the keywords described in the report (second relationship) Person). Thereby, since the correspondence relationship between the keyword and the related person can be set according to the type of the case, it is possible to accurately identify the related party related person (second related person) related to the first case. For example, it is effective when it is desired to associate different parties according to the type of case with a certain keyword.

  Further, according to the information processing apparatus 101, referring to the keyword / cooperation destination DB 260, a cooperation party related person (third party) corresponding to the keyword described in the report of the second case different from the first case. Can be specified. Then, according to the information processing apparatus 101, the second degree indicating the degree of relationship between the second case and the related party (third related party) based on the elapsed time since the report of the second case was created. The degree of relationship can be calculated. As a result, it is possible to calculate a value indicating a high possibility of being related to a related party identified from a keyword described in a report of the case, even for a case other than a case related to a close relationship person. .

  Further, according to the information processing apparatus 101, based on the elapsed time since the report of the second case was created and the response status to the second case, the second case and the related party (third The second degree of relation indicating the degree of relation with the related person) can be calculated. Accordingly, it is possible to evaluate the high possibility of being related to the related party in the case in consideration of the state of correspondence to the case (in response, pending, not yet supported).

  Further, according to the information processing apparatus 101, referring to the keyword / cooperation destination DB 260, the cooperation destination related person (third related person) corresponding to the type of the second case and the keyword described in the report is specified. Can do. Thereby, since the correspondence relationship between the keyword and the related person can be set according to the type of the case, it is possible to accurately identify the related party related person (third related person) related to the second case.

  Further, according to the information processing apparatus 101, it is possible to calculate the relation strength indicating the high possibility of starting or restarting the work of the second case based on the second degree of relation. In this way, it is possible to evaluate the high possibility that the user will start or resume the work of the project, considering how likely it is to be related to the related party of the project (related party). .

  Further, according to the information processing apparatus 101, it is possible to control the display of information about a plurality of cases handled by the user based on the relationship strength of the first case and the relationship strength of the second case. This makes it possible to increase the display priority of information about cases that the user is likely to start or resume at that time when displaying a list of cases that the user is in charge of.

  Further, according to the information processing apparatus 101, it is possible to display a list of information about a plurality of cases handled by the user so that the display order of information about the cases having a high relationship strength is increased. As a result, when displaying a list of the cases handled by the user, information about the cases that the user is likely to start or resume at that time can be displayed at the top.

  Further, according to the information processing apparatus 101, based on the relationship strength of each case (first case, second case), the display of information about incomplete cases among a plurality of cases handled by the user is controlled. be able to. As a result, it is possible to secure an area for displaying information about an incomplete matter by excluding the matter that has been handled by the user from the display target.

  For these reasons, according to the information display system 200 and the information processing apparatus 101 according to the second embodiment, when displaying a list of cases, it is likely that the user is likely to start or resume work at that time. Information can be preferentially displayed. As a result, it becomes easier for the user to start or resume work at a certain point in time or information on the work to be started, and the work of the user in charge of a plurality of work can be supported.

  For example, even for a terminal Ti having a relatively small screen size such as a smartphone or a tablet PC, it is possible to find out information on a target item with as few operations as possible. In addition, even when there are multiple cases with similar case names etc., erroneous operations such as erroneously specifying a different case from the target case, compared to simply arranging each case in the order according to the case name Can be prevented.

  The display control method described in this embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This display control program is recorded on a computer-readable recording medium such as a hard disk, flexible disk, CD-ROM, MO (Magneto-Optical disk), DVD (Digital Versatile Disk), USB memory, etc. It is executed by being read. The display control program may be distributed via a network such as the Internet.

  The following additional notes are disclosed with respect to the embodiment described above.

(Supplementary note 1)
Based on the time-series change of the user's location information and the location information of each of a plurality of parties, the first party that the user is approaching is identified,
Possibility of starting or resuming the work of the first case related to the first related party among a plurality of cases handled by the user based on the identified distance between the first related party and the user Calculate an index value indicating the height of
Controlling display of information about the plurality of cases based on the calculated index value of the first case,
A display control program for executing processing.

(Supplementary note 2)
By referring to the storage unit that stores the keyword and the related party related to the keyword in association with each other, the second related party corresponding to the keyword described in the report of the first case is specified,
Calculating a first value indicating a degree of relationship between the first case and the specified second related person based on an elapsed time since the report of the first case was created;
The process of calculating the index value is
The display according to appendix 1, wherein an index value indicating a high possibility of starting or resuming the work of the first case is calculated based on the calculated first value and the distance. Control program.

(Supplementary Note 3) The process of calculating the first value is as follows:
The display control program according to supplementary note 2, wherein the first value is calculated based on the elapsed time and a response status to the first case.

(Additional remark 4) The said memory | storage part matches and memorize | stores the kind of case, a keyword, and the related person relevant to the said keyword,
The process of identifying the second party is
The display control program according to appendix 2 or 3, wherein a second related person corresponding to the keyword described in the type of the first case and the report is specified.

(Supplementary note 5)
Corresponding to a keyword described in a report of a second case different from the first case among the plurality of cases with reference to a storage unit that associates and stores a keyword and a related party related to the keyword Identify third parties to
Calculating a second value indicating a degree of relationship between the second case and the identified third party based on an elapsed time since the report of the second case was created;
Based on the calculated second value, an index value indicating a high possibility of starting or resuming the work of the second case is calculated, and a process is executed.
The process to control is
The display of information about the plurality of cases is controlled based on the calculated index value of the first case and the index value of the second case. The display control program described.

(Supplementary Note 6) The process of calculating the second value is as follows:
The display control program according to appendix 5, wherein the second value is calculated based on the elapsed time and the response status to the second case.

(Additional remark 7) The said memory | storage part matches and memorize | stores the kind of case, a keyword, and the related person relevant to the said keyword,
The process of identifying the third party is as follows:
The display control program according to appendix 5 or 6, wherein a third related person corresponding to the type of the second case and the keyword described in the report is specified.

(Appendix 8) The process to be controlled is
The display according to any one of appendices 1 to 7, wherein information about the plurality of cases is displayed in a list so that a display order of information about the case having a high calculated index value is increased. Control program.

(Supplementary note 9) Any one of Supplementary notes 1 to 8, wherein the plurality of cases are cases that the user is in charge of and are incomplete cases that are not yet completed by the user. Display control program described in 1.

(Appendix 10)
A relationship corresponding to a keyword described in a report of any case among a plurality of cases handled by the user with reference to a storage unit that stores the keyword and related parties related to the keyword in association with each other Who
Based on the elapsed time since the report of the case was created, calculate a value indicating the degree of relationship between the case and the identified parties,
Based on the calculated value indicating the degree of relationship, an index value indicating a high possibility of starting or resuming the work of the matter is calculated.
A display control program for executing processing.

(Appendix 11) The computer
Based on the time-series change of the user's location information and the location information of each of a plurality of parties, the first party that the user is approaching is identified,
Possibility of starting or resuming the work of the first case related to the first related party among a plurality of cases handled by the user based on the identified distance between the first related party and the user Calculate an index value indicating the height of
Controlling display of information about the plurality of cases based on the calculated index value of the first case,
A display control method characterized by executing processing.

(Supplementary note 12) a terminal having a function of acquiring position information of its own terminal;
Based on the time-series change of the location information of the terminal and the location information of each of a plurality of parties, the first party that the terminal is approaching is identified, and the identified first party and the terminal Based on the distance, an index value indicating a high possibility of starting or resuming the work of the first case related to the first related party among a plurality of cases handled by the user of the terminal is calculated. An information processing apparatus that controls display of information about the plurality of cases on the terminal based on the calculated index value of the first case;
An information display system comprising:

101 Information processing apparatus 102, T1 to Tn, Ti terminal 110, 405 Display 200 Information display system 210 Network 220 Party DB
230 Item DB
240 Location information history DB
250 Report DB
260 Keywords / Linkage DB
1001 Acquisition unit 1002 Reception unit 1003 First identification unit 1004 Extraction unit 1005 Second identification unit 1006 First calculation unit 1007 Second calculation unit 1008 Display control unit 1100 Proximity related person intermediate table 1200 Incomplete matter intermediate table 1300 Relation degree work table 1400 Relation degree intermediate table 1500 Relation strength table 1600 Incomplete matter list

Claims (9)

On the computer,
Based on the time-series change of the user's location information and the location information of each of a plurality of parties, the first party that the user is approaching is identified,
Possibility of starting or resuming the work of the first case related to the first related party among a plurality of cases handled by the user based on the identified distance between the first related party and the user Calculate an index value indicating the height of
Controlling display of information about the plurality of cases based on the calculated index value of the first case,
A display control program for executing processing. In the computer,
By referring to the storage unit that stores the keyword and the related party related to the keyword in association with each other, the second related party corresponding to the keyword described in the report of the first case is specified,
Calculating a first value indicating a degree of relationship between the first case and the specified second related person based on an elapsed time since the report of the first case was created;
The process of calculating the index value is
The index value indicating the high possibility of starting or resuming the work of the first project is calculated based on the calculated first value and the distance. Display control program. The process of calculating the first value is as follows:
The display control program according to claim 2, wherein the first value is calculated based on the elapsed time and a response status to the first case. The storage unit stores a type of a case, a keyword, and a party related to the keyword in association with each other,
The process of identifying the second party is
The display control program according to claim 2 or 3, wherein a second related person corresponding to a keyword described in the type of the first case and the report is specified. In the computer,
Corresponding to a keyword described in a report of a second case different from the first case among the plurality of cases with reference to a storage unit that associates and stores a keyword and a related party related to the keyword Identify third parties to
Calculating a second value indicating a degree of relationship between the second case and the identified third party based on an elapsed time since the report of the second case was created;
Based on the calculated second value, an index value indicating a high possibility of starting or resuming the work of the second case is calculated, and a process is executed.
The process to control is
5. The display of information about the plurality of cases is controlled based on the calculated index value of the first case and the index value of the second case. 6. Display control program described in 1. The process to control is
The information about the plurality of cases is displayed in a list so that the display order of the information about the case with a high calculated index value is high. Display control program.   The plurality of cases are cases that the user is in charge of, and are uncompleted cases that have not been handled by the user. Display control program. Computer
Based on the time-series change of the user's location information and the location information of each of a plurality of parties, the first party that the user is approaching is identified,
Possibility of starting or resuming the work of the first case related to the first related party among a plurality of cases handled by the user based on the identified distance between the first related party and the user Calculate an index value indicating the height of
Controlling display of information about the plurality of cases based on the calculated index value of the first case,
A display control method characterized by executing processing. A terminal having a function of acquiring position information of the own terminal;
Based on the time-series change of the location information of the terminal and the location information of each of a plurality of parties, the first party that the terminal is approaching is identified, and the identified first party and the terminal Based on the distance, an index value indicating a high possibility of starting or resuming the work of the first case related to the first related party among a plurality of cases handled by the user of the terminal is calculated. An information processing apparatus that controls display of information about the plurality of cases on the terminal based on the calculated index value of the first case;
An information display system comprising:

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