Training content creation system and training content creation method

Abstract

To appropriately create a training content for a trainee.SOLUTION: A training content creation system 1 creates training content for a trainee who responds to a report. The training content creation system includes a learning objective storage unit 11 and a training content creation unit 17. The learning objective storage unit stores a plurality of learning objectives and training content generation requirements for each of the plurality of learning objectives. The training content creation unit creates training content including the training content generation requirements on the basis of a learning objective selected by a creator from among the plurality of learning objectives.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a training content creation system and a training content creation method. [Background technology]

[0002] Emergency calls are received by a dispatcher at the communications command center. For example, the duties of a 119 call include determining the type of disaster (fire, rescue, emergency, etc.), determining the dispatch destination, understanding the situation at the scene and the injured or sick, organizing a team and issuing dispatch orders, providing verbal instructions (such as AED operation, CPR, evacuation instructions, etc.) as needed, and providing information to the dispatched team. The dispatcher must complete the process of determining the dispatch destination of ambulances and other vehicles and listening to an overview of the scene, including the injured or sick, within about two minutes.

[0003] Currently, new commanders improve their proficiency by participating in one-on-one role-playing sessions with veteran commanders called mentors based on hypothetical scenarios. These scenarios are created in large quantities in advance to allow new commanders to gain experience.

[0004] The hypothetical scenario includes, for example, the type of disaster (fire, rescue, emergency, etc.), the method of reporting (landline, mobile phone, automated reporting, etc.), the location of the call (address, latitude, longitude, and surrounding landmarks), and hypothetical situations (information on the caller and injured or ill persons, etc.) Conventionally, hypothetical scenarios were created manually, requiring a great deal of man-hours, with veteran dispatchers preparing this information in advance and referring to past cases.

[0005] Patent Document 1 describes a system that automatically generates an appropriate training exercise scenario in accordance with the purpose of the training exercise in a training simulation.

[0006] Patent document 2 describes a system that acquires speech from students, analyzes the content of the acquired speech, creates the next speech content for the students based on the analyzed content of the speech, and synthesizes a voice that represents the speech content. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Japanese Patent Application Laid-Open No. 2010-113105 [Patent Document 2] Japanese Patent Publication No. 2022-14188 Summary of the Invention [Problem to be solved by the invention]

[0008] The systems of Patent Documents 1 and 2 do not take into consideration the location of the call and the assumed situation, such as information about the caller and the injured or sick person.

[0009] The present invention has been made in view of the above-mentioned problems, and has an object to provide a technique for appropriately creating training content for trainees. [Means for solving the problem]

[0010] In order to achieve the above object, the present invention provides a training content creation system that creates training content for a trainee who responds to a report, and includes a learning objective storage unit that stores a plurality of learning objectives and training content creation requirements for each of the plurality of learning objectives, and a training content creation unit that creates the training content including the training content creation requirements based on a learning objective selected by a creator of the training content from the plurality of learning objectives. [Effects of the Invention]

[0011] According to the present invention, training content for trainees can be appropriately created. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a schematic block diagram showing an example of the configuration of a training content creation system. [Figure 2] FIG. 10 is a diagram showing an example of a data structure of a learning objective. [Figure 3]FIG. 10 is a diagram showing an example of the data structure of a dictionary of difficult-to-read place names. [Figure 4] FIG. 4 is a diagram showing an example of a data structure of an item setting rule. [Figure 5] FIG. 10 is a diagram showing an example of a data structure of essential item master data. [Figure 6] FIG. 10 is a diagram showing an example of a data structure of training content. [Figure 7] 10 is a flowchart showing an example of a training content creation process. [Figure 8] FIG. 10 is a diagram showing an example of a training content editing screen. [Figure 9] FIG. 10 is a diagram showing an example of a learning objective editing screen. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The following description and drawings are examples for explaining the present invention, and some omissions and simplifications have been made as appropriate for clarity of explanation. The present invention can be implemented in various other forms. Unless otherwise specified, each component may be singular or plural.

[0014] FIG. 1 is a schematic block diagram showing an example of the configuration of a training content creation system.

[0015] The training content creation system 1 creates training content (assumed cases) for trainees who respond to simulated calls from a creator. The trainee (learner) may be, for example, a dispatcher who accepts emergency calls to 119. The trainee may also be a dispatcher who accepts various types of calls, such as emergency calls to 110. The creator is a mentor who instructs the trainee.

[0016] The training content creation system 1 includes at least one processor 101, at least one memory 102, and an interface 103. The processor 101 realizes each function described below by reading and executing predetermined computer programs stored in the memory 102. The interface 103 includes a communication interface and a user interface. The training content creation system 1 is communicatively connected to a creator terminal 2, a map information search system 3, and a communication command system 4.

[0017] The creator terminal 2 is a terminal operated by the creator, and inputs the creator's instructions to the training content creation system 1 and displays information output from the training content creation system 1. The creator terminal 2 displays, for example, a training content editing screen 80 (FIG. 8) and a learning objective editing screen 90 (FIG. 9), which will be described later.

[0018] The map information search system 3 searches for map information from a database or a network based on instructions from the creator input via the creator terminal 2. The map information search system 3 outputs the searched map information to the training content creation system 1.

[0019] The communication command system 4 includes a commander terminal operated by a commander, and a past incident storage unit 41 that stores past incidents that have been reported in the past for each disaster type and location. The communication command system 4 outputs the past incidents stored in the past incident storage unit 41 to the training content creation system 1 based on instructions from the creator input via the creator terminal 2.

[0020] The training content creation system 1 includes a learning objective memory unit 11, a training content memory unit 12, a learning objective editing unit 13, a location information generation unit 14, an assumed situation generation unit 15, a communication command system linkage unit 16, and a training content creation unit 17.

[0021] The learning objective storage unit 11 stores multiple learning objectives and training content generation requirements for each of the multiple learning objectives. A learning objective is the purpose of training a trainee. The training content generation requirements are items that indicate the learning objective requirements necessary to generate a training scenario. The training content generation requirements include a search formula as an example of a "search query" for searching the target location, expected situation, and case of the report, a "method of communicating to the trainee" as an example of "information presented" to the trainee, and a "learning objective explanation" that explains the conditions and aims for achieving the corresponding learning objective. The learning objectives and achievement items will be described later in Figure 2.

[0022] The training content storage unit 12 stores the training content created by the training content creation unit 17.

[0023] The learning objective editing unit 13 edits the learning objectives and achievement items stored in the learning objective storage unit 11 based on instructions from the creator input via the creator terminal 2.

[0024] The location information generation unit 14 searches for target locations based on the search query, and generates information on target locations for reporting from an area including the searched target locations based on a predetermined index. The predetermined index is at least one of the number of overlaps between multiple searched report locations, the number of reports, the number of times the location became a target location, or the number of serious accidents. If the index indicates a high number of reports, it becomes easier to respond to actual reports, and if the index indicates a low number of reports, it is possible to increase the variety of training.

[0025] The supposition situation generating unit 15 generates a supposition situation based on the learning objective selected by the creator.

[0026] The command system linking unit 16 acquires past cases stored in the past case storage unit 41 of the command system 4 based on instructions from the creator input via the creator terminal 2 .

[0027] The training content creation unit 17 executes a training content creation process for each learning objective set for the training. In the training content creation process, training content that meets the training content creation requirements is created based on a learning objective selected by the creator from among multiple learning objectives.

[0028] FIG. 2 is a diagram illustrating an example of a data structure of a learning objective.

[0029] The learning objective storage unit 11 stores, as item values ​​(column values), a learning objective ID, a heading text, a search formula, a way of communicating to the trainee, and an explanation (objective) of the learning objective.

[0030] The learning objective ID is an identifier that uniquely identifies the learning objective. The heading text indicates the learning objective in text format. The heading text includes support for difficult-to-read place names, recognition of landmarks, recognition of nearby convenience stores, cardiac arrest, support for the elderly, checking for chronic illnesses and fevers, requests from the elderly, and actual case abc. A landmark could be, for example, a restaurant.

[0031] The search expressions include requirements for generating target locations for reports, requirements for generating assumed situations, or requirements for searching assumed cases from the training content. Search expressions for location generation include a search expression for searching a dictionary of difficult-to-read place names, a search expression for searching landmarks such as "restaurants" and "convenience stores" from a map information system, and a search expression for searching a map information system using address notation. Search expressions for assumed situations are defined as a combination of data item names and data values. The search expression for case numbers is the case number (e.g., "001") stored in the communications command system.

[0032] For example, in the case of handling difficult-to-read place names, the search formula for generating a location is "List the areas (regions) registered in the difficult-to-read place name dictionary." The difficult-to-read place name dictionary 30 is explained in Figure 3 below. In the case of landmark recognition (restaurants), the search formula for generating a location is "List restaurants." In the case of nearby convenience store recognition, the search formula for generating a location is "List convenience stores A that have another store within 100 meters." In the case of cardiac arrest, there is no search formula for generating a location, only a search formula for generating an assumed situation, which is "Pulse = unknown, Consciousness = unresponsive, Respiration = agonal respiration." In the case of handling elderly people, the search formula for the assumed situation is "Age = elderly, Respiration = labored, Chronic illness = diabetes." In the case of checking for chronic illnesses and fever, the search formula for the assumed situation is "Fever = present, Chronic illness = kidney disease." In the case of a request from an elderly person, the search formula for generating a location is "1-10 Minamimachi, Tozai City," and the search formula for the assumed situation is "Age = elderly, Fall = hit head."

[0033] The method of communication with the trainer is what Creator 2 conveys to the trainer. For example, in the case of difficult-to-read place names, the creator conveys to the trainer the "information registered in the difficult-to-read place name dictionary." In the case of landmark recognition, the creator conveys to the trainer the "name of the restaurant." In the case of nearby convenience store recognition, the creator conveys to the trainer, "There is a convenience store A nearby," but "I don't know the name of the store." In the case of cardiac arrest, the creator conveys to the trainer, "Pulse = unknown, Consciousness = Does not respond when called, Breathing = Opening and closing mouth." In the case of elderly care, the creator conveys to the trainer, "Age = 84, Breathing = Seems to be in difficulty, Chronic illness = Taking diabetes medication." In the case of checking for chronic illnesses and fever, the creator conveys to the trainer, "Fever = Has remained at 39 degrees Celsius since the beginning, Chronic illness = Kidney disease." In the case of a request from an elderly person, the creator conveys to the trainer, "Nanmachi Special Nursing Home, Age = 93, Fall = Fell in the hallway. Appears to have hit his head and is in severe pain." In the case of a real case, the creator tells the trainee, "Breathing = 'He is breathing,' 'I don't really understand the movement of his chest,' 'He is breathing because his jaw is moving,' 'His chest is not moving.'"

[0034] The learning objective for dealing with difficult-to-read place names is, "When the target area contains place names that are difficult to read or easily misread, the correct place name can be recognized within three utterances." The learning objective for landmark recognition is, "The landmark name can be used to narrow down location candidates in a map search system." The learning objective for nearby convenience store recognition is, "The trainee can recognize that this information alone does not identify the location and encourage the trainee to provide other clues." The learning objective for cardiac arrest and elderly care is, "The trainee can quickly ascertain the status of agonal breathing and prioritize recognition over other items." The learning objective for checking chronic illnesses and fever is, "The trainee can confirm that the patient has a fever." The learning objective for requests from elderly people is, "In response to a request from a nursing home, the trainee can ascertain the facility's name and address and confirm it on a map. Based on the situation, the trainee can recognize that surgical treatment is required." The learning objective for actual case abc is, "When the call was first reported, the trainee thought the patient was breathing, but further questioning revealed that the patient was experiencing agonal breathing. The trainee can determine whether to continue further questioning regarding the patient's breathing."

[0035] FIG. 3 is a diagram illustrating an example of the data structure of the difficult-to-read place name dictionary.

[0036] The difficult-to-read place name dictionary 30 stores the heading text, correct pronunciation, and pronunciation as item values ​​(column values). The heading text is referenced when generating training content. The correct pronunciation is the reading that is conveyed to trainees during training.

[0037] As an example, we will explain the first line of the difficult-to-read place name dictionary 30. The heading text of the first line is about "Utsubo-ya-cho." In this first line, the correct word is "Utsubo-ya-cho," and the way of conveying it is "Kamigyo Ward "Jinya-cho," "The character for blade with the leather radical."

[0038] FIG. 4 is a diagram illustrating an example of the data structure of the item setting rule.

[0039] The item setting rules 40 are rules used when generating assumed situations. They define the items that can be set in the assumed situation, the values ​​that each item can take, and constraints on which values ​​to adopt for overlapping items when multiple learning objectives are overlapped. For example, the priority order (in order of severity) for pulse is none, cannot be felt, weak, somewhat present, present, and the priority order (in order of severity) for breathing is none, agonal breathing, chest moving, looks in pain, and relaxed.

[0040] Furthermore, the item setting rules 40 include constraints to prevent mutually contradictory values ​​between items. For example, the constraints are that if breathing=absent, consciousness=absent, and if fever=present, feeling cold=absent.

[0041] FIG. 5 is a diagram illustrating an example of the data structure of the required item master.

[0042] The essential item master 50 is an item that must be recorded when recording an assumed situation. For example, the essential item master 50 includes gender, age, consciousness, and breathing.

[0043] FIG. 6 is a diagram illustrating an example of the data structure of training content.

[0044] The training content memory unit 12 stores the following as item values ​​(column values): training ID, training title, training summary, learning objective ID, reporting means, target point, reporting point, GPS information, target point description, and expected situation.

[0045] The training ID is an identifier for uniquely identifying the training. The training title indicates the title of the training. The training summary indicates an overview of the training. The learning objective ID is an identifier for uniquely identifying the learning objective. The reporting means is the means used when reporting, and is a landline telephone or a mobile phone as an example of a "mobile communication device." The target point is location information indicating the latitude and longitude of the target point. The reporting point is location information indicating the latitude and longitude of the reporting point. The GPS information is location information of the reporting point based on signals received from GPS satellites. The target point description is a description of the target point. The expected situation is the situation expected at the reporting location.

[0046] As an example, the first line of the training content storage unit 12 will be described. The first line is related to the training ID "1001." This first line indicates that the training title is "Measures for Difficult-to-Read Locations (Utsubo-cho)," the training summary is "Emergency Incidents with Place Names that are Often Misread," the learning objective ID is 0001, etc., the reporting method is a mobile phone, the target location is "35.03,135.75," and the reporting location is "35.03,135.75." The GPS information is "1:35.00,135.73,5000, 2:35.02,135.74,100, 3:35.03,135.75,10." This indicates that the GPS information is set in three stages, and indicates the latitude, longitude, and the radius of the circle displayed on the map as the error of the GPS information. The destination location description means "Address: xx-xx Jinyacho, Kamigyo Ward (Kamigyo Ward, "jinyacho", "character for blade with leather radical", correct: Utsubo-yacho), Landmark: XX Shokudo, "There is a convenience store A nearby", "The name of the store is unknown"." The assumed situation means "Gender: Male, Age: Elderly (84 years old), Pulse rate: Unknown, Awareness: No response when called, Breathing: Opening and closing mouth, Chronic illness: Taking diabetes medication."

[0047] FIG. 7 is a flowchart showing an example of the training content creation process.

[0048] When a string of learning objective IDs is input, the training content creation unit 17 generates training content based on the corresponding search formula. First, it determines whether the search formula is based on an actual case (S1). If the determination result of S1 is false (S1: NO), the training content creation unit 17 determines whether the process is to generate a location or to process an assumed situation (S2). If the determination result of S2 is to generate a location, the location information creation unit 14 searches for a target area or a location from the map search system 3 (S3). The location information creation unit 14 lists overlapping areas (S4).

[0049] The point information generation unit 14 weights the target area (mesh) according to the number of past incidents (S5). For example, the point information generation unit 14 weights an area (mesh) that has been a target point few or many times.

[0050] The location information generation unit 14 weights the target area (mesh) according to the number of times it has been adopted in the training content (S6). The location information generation unit 14 weights the target area (mesh) according to the number of serious accidents that have occurred (S7).

[0051] The point information generating unit 14 determines the target point (S8) based on the results of S4 to S7. Note that the point information generating unit 14 does not have to execute any of the processes of S5 to S7.

[0052] The location information generation unit 14 determines whether the reporting means is a landline or a mobile phone (S9). If the determination result in S9 is a landline, the location information generation unit 14 generates pseudo subscriber information, sets it as the reporting location (S10), and reflects the generated information in the corresponding item on the screen of the creator terminal 2 (S12).

[0053] If the judgment result of S9 is a mobile phone, the location information generation unit 14 generates a range circle including the set location, sets it as pseudo GPS information in the training content (S11), and reflects the generated information in the corresponding item on the screen of the creator terminal 2 (S12).

[0054] If the determination result of S2 is processing of the assumed situation, the assumed situation generating unit 15 superimposes values ​​based on the items set as the assumed situation (S13).

[0055] The assumed situation generating unit 15 sets the priority of the values ​​based on the item setting rules 40, and detects any inconsistencies in the setting contents (S14).

[0056] The assumed situation generation unit 15 completes any unset required items among the required items based on the required item master 50 (S15), and reflects the generated information in the corresponding items on the screen of the creator terminal 2 (S12).

[0057] If the determination result of S1 is true (S1: YES), the training content creation unit 17 acquires information on the relevant past incident from the past incident storage unit 41 of the communication command system 4 via the communication command system linkage unit 16, and reflects the disaster type, dispatch destination point, and interview content (S16). The training content creation unit 17 reflects the generated information in the corresponding items on the screen of the creator terminal 2 (S12).

[0058] FIG. 8 is a diagram showing an example of the training content editing screen.

[0059] The training content editing screen 80 of the creator terminal 2 displays a training title field 81, a task summary field 82, a learning objective field 83, an assumed situation field 84, location information 85, a target location description field 86, and a location information display field 87.

[0060] When a report is sent from a mobile phone, a target area including the location of the mobile phone is displayed in the location information 85. Note that the location information 85 may also display a time-series circle centered on the mobile phone as the target area.

[0061] Furthermore, the training content editing screen 80 displays a target time field 801, a generate button 802, and a save button 803.

[0062] The target time field 801 is the target time for training. As an example, "2 minutes 0 seconds" is displayed in the target time field 801. The generate button 802 is a button that executes the generation of training content based on the information displayed on the training content editing screen 80. The save button 803 is a button for storing the information displayed on the training content editing screen 80 in the training content storage unit 12.

[0063] FIG. 9 is a diagram showing an example of the learning objective editing screen.

[0064] A learning objective editing screen 90 of the creator terminal 2 displays a search field 91, a learning objective field 92, an add line button 93, a copy button 94, a delete button 95, and an import button 96.

[0065] The search field 91 is a field where the creator inputs keywords to search the learning objective storage unit 11 for relevant information by full-text search.

[0066] The learning objective column 92 includes a category column 921 , a heading column 922 , a learning objective explanation (achievement criteria) column 923 , and a content adoption number column 924 .

[0067] The content adoption count column 924 indicates the number of times each training content has been adopted in the past. The add line button 93 is pressed by the creator when adding a line to the learning objective column 92. The duplicate button 94 is pressed by the creator when duplicating a line in the learning objective column 92. The delete button 95 is pressed by the creator when deleting a line in the learning objective column 92. The import button 96 is pressed when importing a learning objective selected by the creator.

[0068] As described above, the training content creation system 1 that creates training content for a trainee who responds to a call includes a learning objective storage unit 11 and a training content creation unit 17. The learning objective storage unit 11 stores a plurality of learning objectives and training content creation requirements for each of the plurality of learning objectives. The training content creation unit 17 creates training content including the training content creation requirements based on a learning objective selected by the creator from the plurality of learning objectives.

[0069] This allows training content for the trainee to be created appropriately based on the pre-stored learning objectives and the requirements for generating the training content.

[0070] Furthermore, the training content generation requirements include a search query for searching a target area for notification and information to be presented to the trainee, and a location information generation unit is provided that searches the target area based on the search query and generates information on the target location for notification from the searched target area based on a predetermined index. This makes it possible to create training content corresponding to locations that match the learning objectives.

[0071] Furthermore, when a report is sent from a mobile phone, the location information generating unit 14 generates a target area including the location of the mobile phone. This makes it possible to estimate the reporting location even when the reporting means is a mobile phone.

[0072] Furthermore, the location information generating unit 14 generates a time-series circle centered on the mobile phone as the target area, which allows the location of the report to be estimated in more detail even if the caller has moved.

[0073] Furthermore, the training content generation requirements include the assumed situation at the location of the call and the information to be presented to the trainee, and the system is provided with an assumed situation generation unit 15 that generates an assumed situation based on the learning objective selected by the creator. This makes it possible to create training content that corresponds to an assumed situation that matches the learning objective.

[0074] The present invention is not limited to the above-described embodiments as they are, and in the implementation stage, the components can be modified and embodied within the scope of the gist of the present invention, or multiple components disclosed in the above-described embodiments can be appropriately combined.

[0075] For example, the predetermined indicator may be at least one of the number of times a location becomes a target location, the number of times it is used in training content, or the number of serious accidents, the number of times multiple target locations overlap, or the number of reports, which can increase the variety of training content that is in line with the learning objectives.

[0076] The location information generator 14 may generate a target area that is consistent with the assumed situation. This allows, for example, if the assumed situation is outdoors, the target area to be set to an outdoor location rather than an indoor location, making it possible to create training content that corresponds to the actual assumed situation.

[0077] When the creator selects multiple learning objectives, the assumed situation generation unit 15 generates assumed situations that are consistent with each other, thereby enabling the creation of training content that corresponds to the actual assumed situation.

[0078] When the assumed situations are mutually contradictory, the assumed situation generation unit 15 selects the assumed situation according to a predetermined priority order. For example, when the assumed situations are mutually contradictory, the assumed situation generation unit 15 may select the assumed situation in which there are many seriously injured people. This makes it possible to create training content that corresponds to the assumed situation in which serious injuries occur. [Explanation of symbols]

[0079] 1... training content creation system, 11... learning objective storage unit, 14... location information generation unit, 15... assumed situation generation unit, 17... training content creation unit

Claims

1. A training content creation system for creating training content for a trainee who responds to a call, a learning objective storage unit that stores a plurality of learning objectives and training content generation requirements for each of the plurality of learning objectives; a training content creation unit that creates the training content including the training content generation requirements based on a learning objective selected by the creator of the training content from among the plurality of learning objectives.

2. The training content generation requirements include a search query for searching a target area of ​​the notification and information to be presented to the trainee; a location information generation unit that searches the target area based on the search query and generates information about a target location of the report from the searched target area based on a predetermined index; The training content creation system according to claim 1 .

3. The predetermined index is at least one of the number of overlaps of the plurality of target points, the number of reports, the number of times the target point has been selected, the number of times the target point has been adopted in the training content, or the number of serious accidents. The training content creation system according to claim 2 .

4. When the report is sent from a mobile communication device, the point information generation unit generates the target area including the location of the mobile communication device. The training content creation system according to claim 2 .

5. the point information generation unit generates a time-series circle centered on the mobile communication device as the target area; The training content creation system according to claim 4 .

6. The training content generation requirements include an assumed situation at the location of the report and information to be presented to the trainee; an assumed situation generation unit that generates the assumed situation based on the learning objective selected by the creator; The training content creation system according to claim 1 .

7. The point information generation unit generates a target area of ​​the report that is consistent with an assumed situation at the location of the report. The training content creation system according to claim 2 .

8. the supposition situation generation unit generates the supposition situations that are not contradictory to each other when the creator selects a plurality of the learning objectives. The training content creation system according to claim 6 .

9. the supposition situation generation unit selects the supposition situation in accordance with a preset priority order when the supposition situations are mutually contradictory; The training content creation system according to claim 6 .

10. A training content creation method in which a training content creation system creates training content for a trainee who responds to a call, comprising: storing a plurality of learning objectives and training content generation requirements for each of the plurality of learning objectives; creating the training content, including the training content generation requirements, based on a learning objective selected by a creator of the training content from among the plurality of learning objectives; The training content generation requirements include a search query that identifies a location of the notification and information to be presented to the trainer; A training content creation method, wherein the step of creating the training content includes a step of identifying the location based on the search query, and generating candidate reporting locations from an area including the identified location based on predetermined indicators.

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