JP2016085703A - Behavior support system, terminal, device, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a behavior support system capable of improving motivation and self-efficacy of an object person for a behavior and suppressing generation of relapse.SOLUTION: A behavior support system includes means for determining in which behavioral change stage is the behavior of an object person among a plurality of behavioral change stages that can be grasped as having been changed and at which level is the degree of action stop of the object person among a plurality of relapse levels. The behavior support system also includes means for selecting an intervention approach that is a method of intervention that may change behavior of the object person on the basis of the determined behavioral change stage and the relapse level.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an action support system, a terminal, an apparatus, a method, and a program. For example, an attempt is made to support activation and continuation (including start-up) of a target person's action such as health action, learning action, rehabilitation action, and treatment action. About what to do.

  In fields such as health care, education, rehabilitation, and treatment of autism, an approach is often used in which the subject changes his / her daily behavior with appropriate interventions. For example, in the prevention and management of lifestyle-related diseases, etc., health care workers are instructed on meals and exercises based on measured values of blood pressure and weight of the subject, and the subject performs actions in accordance with this. , Improvement of health is achieved.

  However, in general, sufficient motivation, self-efficacy (self-efficacy), preparation for responding to barrier factors that hinder behavior such as bad weather, etc. In short, it is difficult to activate and continue the action.

  In view of such a point, in Patent Document 1, not only the information detected from the breath of the subject is analyzed and the health condition is presented to the subject itself, but also the subject information is reflected in fortune-telling or a game. A technique for providing entertainment to a target person has been proposed.

JP 2010-26748 A

  However, for some subjects, the element of entertainment can be a means of continuing behavior, but this alone is difficult to improve motivation and self-efficacy for health behavior, Even if it starts, it is easy to invite a relapse (reverse action).

  Therefore, an action support system, a terminal, an apparatus, a method, and a program capable of improving the motivation and self-efficacy of the subject with respect to the action and suppressing the occurrence of the relapse are desired.

  In the behavior support system of the first aspect of the present invention, (1) the behavior change stage of the plurality of behavior transformation stages that the subject person's behavior is considered to have transformed, Subject action determination means for determining whether the subject is at a relax level, and (2) an intervention approach that is an intervention method that may change the behavior of the subject based on the determined action modification stage and the relax level. And an intervention approach selection means for selecting

  The behavior support terminal according to the second aspect of the present invention includes a behavior support system in which the behavior support terminal and the behavior support device are connected via a communication path. (1) A plurality of behaviors of the target person can be regarded as transformed. A subject behavior determination means for determining which behavior modification stage of the behavior modification stage is present and at which of the plurality of relapse levels the subject's behavior stoppage is, and (2) the determined behavior modification stage and relapse Among the intervention approach selection means for selecting an intervention approach that is an intervention method that may change the behavior of the subject based on the level, the subject behavior determination means is included.

  The action support apparatus according to the third aspect of the present invention includes (1) a plurality of actions that the action support device and the action support apparatus to which the action support device is connected to via a communication path can be regarded as transformed. A subject behavior determination means for determining which behavior modification stage of the behavior modification stage is present and at which of the plurality of relapse levels the subject's behavior stoppage is, and (2) the determined behavior modification stage and relapse Among the intervention approach selection means for selecting an intervention approach that is an intervention method that may change the behavior of the subject based on the level, the intervention approach selection means is provided.

  The action support program according to the fourth aspect of the present invention is provided in an action support system in which an action support terminal and an action support device are connected via a communication path. A subject behavior determination means for determining which behavior modification stage of the behavior modification stage is present and at which of the plurality of relapse levels the subject's behavior stoppage is, and (2) the determined behavior modification stage and relapse Of the intervention approach selection means for selecting an intervention approach, which is an intervention method that may change the behavior of the subject based on the level, the computer functions as the intervention approach selection means.

  According to a fifth aspect of the present invention, in the behavior support method in the behavior support system for assisting the behavior of the subject to be improved toward the behavior goal of the subject, (1) the subject behavior determination means includes the behavior of the subject. However, it is determined which of the plurality of behavior modification stages perceived to have been transformed, which of the plurality of relaxation levels the subject's degree of behavior suspension is, and (2) the intervention approach selection means Based on the determined behavior change stage and the relapse level, an intervention approach, which is an intervention method that may change the behavior of the subject, is selected.

  According to the present invention, it is possible to provide an action support system, a terminal, an apparatus, a method, and a program that can improve the motivation and self-efficacy of the subject with respect to the action and can suppress the occurrence of the relapse.

It is a block diagram which shows the functional structure of the action assistance system of 1st Embodiment. It is a block diagram which shows the example of arrangement | positioning of the physical apparatus which builds the action assistance system of 1st Embodiment. It is explanatory drawing of the determination method of the action change stage in the action support system of 1st Embodiment. It is explanatory drawing of the determination method of the relaxation level in the action assistance system of 1st Embodiment. It is explanatory drawing which shows the outline | summary of the intervention approach in the action assistance system of 1st Embodiment. It is explanatory drawing of the selection method of the intervention approach in the action assistance system of 1st Embodiment. It is explanatory drawing which shows the intervention information accumulate | stored in the intervention information database part in the action assistance system of 1st Embodiment. It is explanatory drawing which shows the example of the score data obtained by the matching part in the action assistance system of 1st Embodiment. It is explanatory drawing which shows the production | generation example of the intervention data by the intervention information transmission part in the action assistance system of 1st Embodiment. It is a sequence diagram which shows operation | movement of the action assistance system of 1st Embodiment. It is a block diagram which shows the functional structure of the action assistance system of 2nd Embodiment. It is explanatory drawing of the evaluation method of the intervention approach of the intervention approach evaluation part in the action assistance system of 2nd Embodiment. It is explanatory drawing of the output data from the intervention approach evaluation part in the action assistance system of 2nd Embodiment. It is a block diagram which shows the functional structure of the action assistance system of 3rd Embodiment. It is a block diagram which shows the example of arrangement | positioning of the physical apparatus which constructs the action assistance system of 3rd Embodiment. It is a block diagram which shows the example of the arrangement | positioning of the physical apparatus which constructs the action assistance system of deformation | transformation embodiment (the 1). It is a block diagram which shows the example of arrangement | positioning of the physical apparatus which constructs the action assistance system of deformation | transformation embodiment (the 2). It is a block diagram which shows the example of arrangement | positioning (the 3) of the physical apparatus which constructs the action assistance system of deformation | transformation embodiment.

(A) First Embodiment Hereinafter, a first embodiment of an action support system, a terminal, an apparatus, a method, and a program according to the present invention will be described with reference to the drawings.

  The first embodiment is intended to support the health behavior of the subject. Below, the case where the information (intervention data) regarding health behavior is provided to the subject (or the supporter) who needs prevention or management, such as hypertension, is explained as an example.

(A-1) Configuration of First Embodiment FIG. 1 is a block diagram showing a functional configuration of an action support system according to the first embodiment, and FIG. 2 is an action support according to the first embodiment. It is a block diagram which shows the example of arrangement | positioning of the physical apparatus which constructs | assembles a system.

  As illustrated in FIG. 2, the action support system 1 according to the first embodiment is constructed by connecting the target person terminal 2 and the server computer 3 via the communication path 4. One or more (FIG. 2 shows three examples) action management item measurement values 5 (5a to 5c) are input.

  The target person terminal 2 is a terminal related to a target person who supports activation and continuation of health behavior, and corresponds to a personal computer, a television receiver, a set top box, a smartphone, a tablet, and the like having an information communication function. The subject terminal 2 may be a wearable terminal such as a watch type or a glasses type. In FIG. 2, the target person terminal 2 is shown, but instead of the target person terminal 2, or in addition to the target person terminal 2, a supporter terminal that supports the health behavior of the target person is connected to the server computer via the communication path 4. 3 may be connected. In the following description, it is assumed that only the target person terminal 2 is connected to the server computer 3 via the communication path 4.

  The meter 5 measures predetermined items in order to grasp and manage the current health behavior by the subject. For example, a sphygmomanometer 5a that measures the blood pressure of the subject, a weight scale 5b that measures the weight of the subject, and a pedometer 5c that counts the number of steps (for example, the number of steps taken every day) of the subject. Hereinafter, a case where the measurement items are blood pressure, weight, and number of steps will be described.

  The server computer 3 is a computer that executes processing for supporting the health behavior of the subject. The server computer 3 may be constructed by installing an action support program on a general-purpose computer, or may be a computer constructed as a dedicated device equipped with the action support program. The server computer 3 may be physically configured as one device or may be configured as a plurality of devices. In the latter case, the installation location may be divided into a plurality of locations.

  For example, the subject terminal 2 is arranged in a place where a subject who needs prevention or management of hypertension can contact (for example, home or city hall), and the server computer 3 is located at a remote data center from the place. Has been placed.

  Physically, the action support system 1 according to the first embodiment constructed by various devices as shown in FIG. 2 functionally has the configuration shown in FIG.

  1, the action support system 1 according to the first embodiment includes an information collection unit 10, a subject information database unit 11, an intervention approach determination unit 12, a matching unit 13, an intervention information database unit 14, an intervention information transmission unit 15, and An information browsing unit 16 is included.

  For example, the information collection unit 10 and the information browsing unit 16 are functional units mounted on the target person terminal 2, and the target person information database unit 11, the intervention approach determination unit 12, the matching unit 13, the intervention information database unit 14, and the intervention The information transmission unit 15 is a functional unit mounted on the server computer 3. However, the distribution of the functional unit to the target person terminal 2 and the server computer 3 is not limited to this. For example, the target person information database unit 11 may be mounted on the target person terminal 2. Further, for example, the target person terminal 2 may be physically composed of two devices, the information collecting unit 10 may be mounted on one device, and the information browsing unit 16 may be mounted on the other device.

  The information collecting unit 10 collects information on the target person and outputs it to the target person information database unit 11 as target person data. The target person data includes, for example, various data such as (d1) basic attribute data, (d2) vital data, (d3) action target data, (d4) action data, (d5) action change stage, and (d6) relapse level. It is out.

(D1) Basic attribute data The basic attribute data is basic attribute information necessary for supporting the health behavior of the subject. Basic attribute data includes subject ID, gender, age, region, health level (independence or long-term care required, care level in case of long-term care), medical history, preferences, needs, family composition, residence type (how many stories, wooden structure) , Rebar, etc.), outing means (main movement method; car, bicycle, walking, etc.). The information collection unit 10 acquires the data when the target person or the supporter inputs the information by operating the target person terminal. These data may be recorded in advance in the target person information database unit 11 instead of the operation of the target person terminal.

(D2) Vital data Vital data is a feature quantity reflecting the state of the subject as a life form, and in the case of the first embodiment, is blood pressure and weight. The acquisition interval of vital data is not limited, but will be described below as being acquired every day (the acquisition times are preferably substantially the same, but may be slightly different). The information collecting unit 10 acquires vital data when the subject operates the sphygmomanometer 5a and the weight scale 5b.

(D3) Action target data The action target data includes the name of the disease to be managed, the daily step number target, and the night snack. The information collection unit 10 acquires the action target data from information input by the subject to the subject terminal 2. It should be noted that all or part of the action target data is not obtained from the operation input of the target person terminal 2, but is input from the operation input part of the server computer 3 by the supporter or the like, 11 may be recorded.

(D4) Behavior data The behavior data is the number of steps of the subject and the amount of snacks during the night. The information collecting unit 10 acquires step count data when the subject operates the pedometer 5c. In addition, the information collecting unit 10 acquires a nighttime snack amount input by the subject to the subject terminal 2.

(D5) Behavior Transformation Stage The behavior transformation stage is a behavior transformation stage that changes habitual behavior patterns regarding health behavior. In the first embodiment, five stages of a pre-contemplation stage, a contemplation stage, a preparation stage, an execution stage, and a maintenance stage are defined as stages of behavior change with respect to health behavior. The precontemplation stage is a stage where there is no intention to take action. The contemplation stage is the stage where you intend to take action within half a year. The preparation stage is a stage where the intention is to take action within one month. The execution stage is a stage where the behavior has been changed but less than half a year. The maintenance stage is the stage where the behavior is maintained for more than half a year. For example, the transition (transformation) of the behavior transformation stage is such that if the previous stage is any of the “pre-consideration stage”, “contemplation stage”, and “preparation stage”, the transition to the “execution stage” is made when the health behavior starts It is not necessarily one step at a time.

  The information collecting unit 10 acquires data of the behavior transformation stage when the subject inputs a behavior motivation state to the subject terminal 2. In addition, the information collecting unit 10 detects whether or not the behavior data of the target person has continued for more than half a year except for temporary suspension of behavior in light of the behavior target data. The information collecting unit 10 determines the behavior change stage according to the determination method shown in FIG. In other words, the information collecting unit 10 determines the behavior modification stage according to the combination of the stage to which the subject's desire to act belongs and the stage to which the subject's action continuation period belongs. For example, if “being motivated to act (being active)” and “behavior duration half year or less”, it is determined as an execution stage. In the pre-contemplation stage, the contemplation stage, and the preparation stage, the target person has not started the action and no formal action target is set, and therefore, the action change stage is determined based only on the action intention.

(D6) Relapse Level The relapse level is data representing a stage (the degree of reversion) after returning to the original state after changing to a healthy behavior. In the first embodiment, the relaxation level is defined in five stages: smooth, slip, lapse, lapse, and collapse. Smooth is a stage where there is no action stoppage. Slip is a stage where there is an action stoppage within two consecutive days. Lapse is a stage where there is a cessation of behavior within two consecutive weeks. Relapse is a stage where there is a suspension of behavior within two consecutive months. Collapse is a stage where there is a suspension of action for more than 2 consecutive months. Note that “relapse” may be used as a term representing one stage or as a term representing a reversal of behavior.

  The information collection unit 10 confirms the behavior stop state by checking the behavior data of the subject against the behavior target data, and determines the relapse level according to the determination method illustrated in FIG. 4. In addition, in the pre-contemplation stage and the contemplation stage, the subject has not started any action, so a specific relap level is not defined, and the relap level is handled as one type of “undefined”. Further, in the preparation stage, it is assumed that the target person is trying a behavior by setting a provisional behavior target, and therefore, a relapse level is defined as in the execution stage and the maintenance stage. In the preparation stage, the execution stage, and the maintenance stage, the relapse level is determined according to the behavior stop period. As described above, the relaxation level is determined in accordance with the behavior stop period, and although it depends on the review period, generally, even if the relaxation level transitions, the transition is made to a relaxation level shifted by one step.

  In the determination of the behavior change stage and the relapse level, the “behavior duration” and the “behavior stop period” are used. In order to capture the “behavior duration” and “behavior stoppage period”, a method must be defined that captures whether “behavior has been implemented” or not. An example is as follows. For each of the number of steps and the amount of snacking during the night, a table or the like for defining the degree of action achievement is prepared for each range to which the difference or ratio of the actual value to the target value belongs. Using such a table, calculate the number of steps and the degree of nighttime snacks achieved on a daily basis, perform weighted addition of the two calculated behavioral achievements, and compare the obtained weighted addition value with the threshold When it is equal to or greater than the threshold, it is regarded as “execution of action”, and when it is smaller than the threshold, it is regarded as “stop of action (non-execution)”.

  In addition, it is not divided into two types, “Implementation of Action” and “Suspension of Action”, but more than 3 types of “Enforcement of Action”, “Implementation of Less Action” and “Suspension of Action” The behavior transformation stage and the relaxation level may be defined using these three types of classification. For example, a case where “sufficient implementation of behavior” is continued for three months or more and a case where “implementation with little behavior” is continued for half a year or more may be determined as the “maintenance stage”. In addition, for example, when the “execution with little action” is stopped for two consecutive days or when “execution with little action” has been made but it has continued for two consecutive weeks, it is judged as “slip”. May be.

  The subject information database unit 11 accumulates subject data given from the information collecting unit 10.

  The intervention approach determination unit 12 receives the behavior change stage and the relapse level from the subject person information database unit 11, and the intervention approach determination unit 12 determines one or more intervention approaches according to the input behavior change stage and the relapse level. The intervention approach ID for selecting and identifying the selected intervention approach is output to the matching unit 13. The intervention approach determination unit 12 outputs the intervention approach ID to the matching unit 13 when a change occurs in at least one of the behavior modification stage and the relapse level, and also matches the intervention approach ID every predetermined time (for example, 24 hours). 13 is output.

  The intervention approach is a method of intervention intended to change the health behavior of the subject, and the intervention approach ID is an identifier for identifying each intervention approach. FIG. 5 is an explanatory diagram of the outline of the intervention approach according to the first embodiment, and the intervention approach defined as shown in FIG. 5 is based on knowledge in the field of behavioral science and social science.

  An intervention approach with an intervention approach ID of “ID_health knowledge” (hereinafter abbreviated as “ID_health knowledge”) is an approach that gives simple health knowledge to raise the consciousness of the subject. “ID_Behavior Benefit” is an approach that informs the subject of the benefit of continuing health behavior. “ID_proxy experience” is an approach that gives confidence to the behavior of the subject by informing the success experience of the person similar to the subject. “ID_success experience” is an approach that lowers the current action goal and experiences success. “ID_high risk coping” is an approach for instructing the subject in advance how to deal with a high-risk situation (eg, bad weather, fatigue due to fatigue, etc.) that is likely to cause a relapse when the action is continued. “ID_behavioral coping” is an approach that causes a target person to take specific actions such as declaring actions around them or placing athletic shoes at the entrance so that health action is triggered. “ID_self-monitoring” is an approach for visualizing the history of actions and making the subject aware. “Awareness of ID_improvement” is an approach that makes people feel that their health has improved compared to the past. “ID_reward” is an approach that gives a reward when an action continues. “ID_praise” is an approach that recognizes an action when a good action is performed. “ID_barrier removal” is an approach for providing encouragement and support for implementing countermeasures when a relapse occurs.

  Each intervention approach has a behavioral transformation stage and a relapse level where the intervention approach is effective. For example, “ID_behavior benefit” is effective for subjects in the pre-contemplation stage and the contemplation stage, and “ID_proxy experience” is also effective for subjects in the pre-contemplation stage and the contemplation stage. In addition, “ID_high risk handling” is effective for subjects in the execution stage and the maintenance stage. Furthermore, “ID_praise” is effective for a target person in a stage after the preparatory stage and when the relapse level is mild.

  The selection method of the intervention approach is determined based on the behavioral change stage and the relaxation level at which each intervention approach is effective. In the first embodiment, the effectiveness of each intervention approach is defined for each combination of the behavior change stage and the relapse level, and the effectiveness of each intervention approach is also used for selecting the intervention approach. The intervention approach determination unit 12 preferentially selects an intervention approach having a high degree of effectiveness from one or a plurality of intervention approaches determined according to the input behavior change stage and the relapse level.

  FIG. 6 is an explanatory diagram of an intervention approach selection method by the intervention approach determination unit 12.

  In FIG. 6, a region having a high effectiveness for each intervention approach is indicated by a frame line. The inside of the frame R1 represents a region where the effectiveness (score) is high for “ID_health knowledge”, “ID_behavior benefit”, and “ID_proxy experience”, and outside the frame R1, “ID_health knowledge”, The effectiveness of “ID_behavior” and “ID_proxy experience” is low (hereinafter, mention of low is omitted). The inside of the frame R2 represents a region where the effectiveness is high for “ID_success experience”. The inside of the frame R3 represents an area where the effectiveness is high for “ID_high risk countermeasure”. The inside of the frame R4 represents an area where “ID_behavioral coping”, “ID_self-monitoring”, and “ID_awareness of improvement” are highly effective. The inside of the frame R5 represents a region in which “ID_reward” and “I_praise” are highly effective. The inside of the frame R6 represents a region having high effectiveness for “ID_barrier removal”. Even within the same frame, the effectiveness varies depending on the behavior transformation stage and the relapse level.

  For example, when the behavior change stage is the preparation stage and the relapse level is lapse, “ID_behavioral coping”, “ID_self-monitoring”, “ID_awareness of improvement”, “ID_success experience”, and “ID_barrier removal” "Is effective (the effectiveness is greater than the threshold value), and the intervention approach determination unit 12 selects an intervention approach equal to or less than a predetermined upper limit number from these according to the setting of each effectiveness. . Here, when the number of intervention approaches determined by the combination of the input behavior modification stage and the relaxation level is equal to or less than the upper limit number, the intervention approach determination unit 12 selects all the intervention approaches. On the other hand, when the number of intervention approaches determined by the combination of the input behavior modification stage and the relapse level exceeds the upper limit number, the intervention approach determination unit 12 determines the upper limit number from the one with the highest effectiveness. Select an intervention approach.

  Note that the upper limit number may be a fixed value in the action support system 1 or may be set again by the system installer as a value common to the entire system. Further, the upper limit number may be set for each target person. In this case, the target person or supporter specifies the target person using the operation input unit of the target person terminal 2 or the server computer 3 and inputs the upper limit number of intervention approaches.

  When the intervention approach ID is given from the intervention approach determination unit 12, the matching unit 13 takes in the basic attribute data, vital data, and action target data from the target person information database unit 11, and takes in the metadata from the intervention information database unit 14. Then, one or more metadata suitable for the current situation of the target person is extracted, and the intervention ID, which is the identifier of the intervention material data corresponding to the extracted metadata, and the score data are output to the intervention information transmission unit 15. Is.

  The intervention information database unit 14 stores in advance intervention data generation data including intervention material data and metadata corresponding to the intervention material data. Here, an intervention ID is assigned to each intervention data generation data (a set of intervention material data and metadata). The metadata is data about the intervention material data, but has an aspect of data defining conditions for applying the intervention material data.

  FIG. 7 is an explanatory diagram showing intervention data generation data stored in the intervention information database unit 14. Intervention data generation data can be classified into intervention content and intervention information generation rules. In FIG. 7, intervention data generation data to which “A”, “B”, “C”, and “D” are assigned as intervention IDs are intervention contents, and “E”, “F”, “ Intervention data generation data to which “G” and “H” are assigned are intervention information generation rules. Each intervention content includes media data (content) such as existing video, audio, and document as intervention material data and metadata added thereto. Intervention information generation rules include intervention information generation rule data for dynamically generating intervention information according to the basic attribute data, vital data, action target data, etc. of the target person as intervention material data. Is given.

  The metadata in each intervention data generation data defines the scope of intervention approach, basic attribute data, vital data, action target data, etc. to which the corresponding intervention material data (media data or intervention information generation rule data) should be applied. ing.

  For example, in FIG. 7, the media data with the intervention ID “A” is content that provides the target person (or supporter) with the cause and symptoms of hypertension. The metadata indicates that it is suitable for the case where the management target disease is hypertension in “knowledge” (other application conditions exist but are omitted in FIG. 7). Note that the content of “hypertension” in FIG. 7 may be defined in the range of blood pressure values.

  Further, for example, the intervention information generation rule data with the intervention ID “E” is data for graphing the time series of the blood pressure, the weight, and the number of steps of the subject, and this intervention information generation rule data is used as the intervention approach. Is “ID_self-monitoring” and the metadata indicates that it is suitable for the case where the blood pressure value falls within a predetermined range (other application conditions exist but are omitted in FIG. 7). Different subjects have different time series changes in blood pressure, weight, and number of steps. Therefore, even if the intervention information generation rule data is the same, the contents of the generated graph are different.

  1 and 7, the intervention material data and the metadata are stored in the same intervention information database unit 14, but the intervention material data and the metadata are assigned the same intervention ID in a separate database unit. You may make it accumulate. Further, instead of accumulating media data in the intervention information database unit 14, a network address (for example, URL) related to a device on the network storing the media data is accumulated in the intervention information database unit 14. May be.

  The matching unit 13 calculates a similarity between the input intervention approach ID, basic attribute data, vital data, action target data, and metadata in each intervention ID, and a score representing the similarity obtained by the calculation The higher intervention ID is extracted. A threshold value for extraction may be provided, and the extraction condition may be that the score data is equal to or greater than the threshold value. Further, an upper limit number of intervention IDs to be extracted may be provided. For example, when the intervention ID having score data equal to or higher than the threshold is equal to or less than the upper limit number, all intervention IDs having score data equal to or higher than the threshold are extracted, and the intervention ID having score data equal to or higher than the threshold exceeds the upper limit number In this case, the upper limit number of intervention IDs are extracted from the larger score data.

  Here, a calculation formula for calculating the degree of similarity may be included in each metadata, and a calculation formula with the same degree of similarity may be applied to all metadata. The contribution rate (weight) to the similarity may be the same or different between the intervention approach ID, basic attribute data, vital data, and action target data. About intervention approach ID, you may make it reflect the effectiveness in score data.

  Below, the same similarity calculation formula is applied to all metadata, and the contribution rate (weight) to the similarity is the same among the intervention approach ID, basic attribute data, vital data, and action target data, An example of a method for calculating score data in which the effectiveness of the intervention approach ID is not reflected in the score data will be given. Intervention approach ID, basic attribute data, vital data, and action target data related to the subject are calculated to be similar to the metadata (values in the range of 0 to 1) and the four similarities obtained. The score data is 100 times the product of. For example, for a subject at the contemplation stage, the intervention approach ID is “ID_health knowledge”, the basic attribute data is “70s, female”, and the vital data is “blood pressure 150/100” (where 150 is systolic blood pressure (maximum Hypertension), 100 is the diastolic blood pressure (minimum blood pressure; hereinafter, the same notation is used for blood pressure), and if the action target data is “undefined”, the metaphor of the intervention ID “A” in FIG. The score data by matching with the data is “1” because the intervention approach IDs match, the basic attribute data is “1” because the metadata side is undefined, and the vital data in the metadata is, for example, “140/85 (ie, “High blood pressure)”, the similarity is “0.9” due to the difference from the actual value, and “1” because the action target data related to the subject is undefined. "90" is obtained as the score data by multiplying by 100.

  The same similarity calculation formula is applied to all the above-mentioned metadata, and the contribution rate (weight) to the similarity is the same among the intervention approach ID, basic attribute data, vital data, and action target data, and intervention An example of a score data calculation method in which the effectiveness of the approach ID is not reflected in the score data is as follows.

  The calculation formula of the score data is “score data” = “similarity to metadata about intervention approach ID” × “similarity to metadata about basic attribute data” × “similarity to metadata about vital data Degree ”ד Similarity with metadata about action target data ”ד 100 ”=“ 1 ”ד 1 ”ד 0.9 ”ד 1 ”ד 100 ”=“ 0.9 ” .

Here, an example of each similarity used for the calculation of “score data” is as follows: “Similarity with metadata about intervention approach ID” is a value in the range of 0 to 1, In an example in which the score data obtained by matching with the metadata having the intervention ID 7 of “A” matches the intervention approach ID, it is “1”.

  The “similarity with metadata about basic attribute data” is a value in the range of 0 to 1, and is “1” in an example in which the metadata side is undefined.

  The “similarity with the metadata about the vital data” is a value in the range of 0 to 1, and is calculated as follows in an example of blood pressure, and is “0.9”.

  The “similarity with the metadata about the action target data” is a value in the range of 0 to 1, and is “1” in an example in which the action target data related to the subject is undefined.

  The fact that the “similarity with metadata about vital data” is “0.9” is calculated as follows.

  The “similarity of the vital data with the metadata” is calculated from the product of “predetermined coefficient: α” and “vital data: β”.

  The calculation formula of “similarity with metadata about vital data” is “similarity with metadata about vital data” = “predetermined coefficient: α” × “vital data: β” = “predetermined coefficient: α”. × max ((“Vital data: b1” − “Vital data: B1”)) (“Vital data: b2” − “Vital data: B2”)).

  The “predetermined coefficient: α” is a coefficient that is adjusted so that the “similarity with the metadata about vital data” becomes the upper limit value “1” and the lower limit value “0”.

  “Vital data: β” is composed of four “Vital data: b1”, “Vital data: b2”, “Vital data: B1”, “Vital data: B2”, “Vital data: b1” and “Vital” Of the differences between “Data: B1” and “Vital data: b2” and “Vital data: B2”, this is the larger value.

  The vital data “b1” is vital data of the subject and is the systolic blood pressure of the subject. The vital data “b2” is vital data of the subject and is the minimum blood pressure of the subject. The vital data “B1” is vital data of basic attribute data (metadata), and is the systolic blood pressure of the basic attribute data. The vital data “B2” is vital data of basic attribute data (metadata) and is a minimum blood pressure of basic attribute data.

  In the example of the score data calculation method described above, “0.9” which is “similarity to metadata about vital data” is “predetermined coefficient: α” is “0.06”, and vital data of the subject “B1, b2” is “blood pressure 150 (highest blood pressure), 100 (lowest blood pressure)”, and vital data “B1, B2” in metadata is “140 (highest blood pressure), 85 (lowest blood pressure): (ie, high blood pressure)” ”Is calculated as“ 0.06 × max (150−140, 100−85) = 0.9 ”.

  Moreover, the same similarity calculation formula is applied to all the metadata described above, and the contribution rate (weight) to the similarity is the same among the intervention approach ID, basic attribute data, vital data, and action target data. Further, an example of a score data calculation method for reflecting the effectiveness of the intervention approach ID in the score data is summarized as follows.

  The score data calculation formula is “score data” = “effectiveness corresponding to intervention approach ID” × “similarity to metadata about intervention approach ID” × “similarity to metadata about basic attribute data” Degree ”ד similarity with metadata about vital data ”ד similarity with metadata about action target data ”ד 100 ”.

  Here, an example of each degree of similarity used for calculation of “score data” is as follows.

  "Similarity with metadata about intervention approach ID", "Similarity with metadata about basic attribute data", "Similarity with metadata about vital data", "Metadata about action goal data and The “similarity of” is the same as each similarity in an example of a score data calculation method in which the effectiveness of the intervention approach ID is not reflected in the score data.

  The “effectiveness corresponding to the intervention approach ID” is, for example, a value in the range of 0 to 1 or a value in the range of 0 to 1 and a plurality of stages (for example, “0”, “0.2” , “0.4”, “0.6”, “0.8”, “1”).

  Note that the “effectiveness” selection method will be described in a second embodiment to be described later as an example (an example of changing the stage) in which the “effectiveness corresponding to the intervention approach ID” is variable.

  In addition, the matching unit 13 may classify each intervention material data into a plurality of groups, and extract the intervention ID from the metadata corresponding to the intervention material data of each group. For example, intervention material data (negative intervention material data) that leads the subject's current health behavior to be insufficient and leads to the target exercise behavior or activates the exercise behavior, and other intervention material data (positive intervention) Material data), and the metadata describes whether the corresponding intervention material data is positive intervention material data or negative intervention material data. Further, the number of extractions in the positive intervention material data and the number of extractions in the negative intervention material data, or the ratio of the two extraction numbers is determined in advance. The matching unit 13 may extract the intervention ID according to the definition. For example, intervention material data with an intervention ID “A” corresponds to negative intervention material data, and intervention material data with an intervention ID “F” corresponds to positive intervention material data.

  FIG. 8 is an explanatory diagram illustrating an example of the calculation result of the score data by the matching unit 13.

  FIG. 8A is an example of calculation results of score data in the contemplation stage. As shown in FIG. 6, in the case of the contemplation stage, the intervention approach IDs output from the intervention approach determination unit 12 are “ID_health knowledge”, “ID_behavior benefit”, and “ID_proxy experience” (however, It is assumed that the upper limit number of outputs is selected to be 3 or more). As shown in FIG. 7, the metadata including “ID_health knowledge”, “ID_behavior benefit” or “ID_proxy experience” as application conditions is meta data with intervention IDs “A”, “B”, and “C”. Therefore, score data is calculated only for metadata with intervention IDs “A”, “B”, and “C”.

  FIG. 8B shows an example of calculation results of score data at the execution stage and the slip level. As shown in FIG. 6, in the case of the execution stage and the slip level, the intervention approach IDs that may be output from the intervention approach determination unit 12 are “ID_behavioral coping”, “ID_self-monitoring”, “ID_improvement”. ”Awareness of”, “ID_high risk handling”, “ID_reward”, “ID_praise”, “ID_behavioral coping”, “ID_self-monitoring”, “ID_high risk coping”, “ID_praise” Is output. As shown in FIG. 7, the metadata including “ID_behavioral coping”, “ID_self-monitoring”, “ID_high risk coping”, or “ID_praise” as application conditions has intervention IDs “D” and “E”. , “F”, and “G” metadata. Therefore, score data is calculated only for metadata with intervention IDs “D”, “E”, “F”, and “G”.

  The matching unit 13 selects an intervention ID related to metadata that matches the intervention approach selected by the intervention approach determination unit 12 and matches the characteristics of the segment to which the subject belongs (for example, 70s, women, high blood pressure, etc.). The intervention ID and score data are extracted and output to the intervention information transmission unit 15. Here, the matching unit 13 extracts an intervention ID to be output from the intervention IDs for which score data has been calculated (see FIG. 8).

  When the intervention ID and score data are given from the matching unit 13, the intervention information transmission unit 15 takes in the intervention material data corresponding to the given intervention ID from the intervention information database unit 14, and based on the intervention material data (and If necessary, the desired data is fetched from the target person information database unit 11) to generate intervention data and output it to the information browsing unit 16.

  FIG. 9 is an explanatory diagram showing an example of the generation of intervention data by the intervention information transmission unit 15. The matching unit 13 sends the intervention information transmission unit 15 with intervention IDs “D”, “E”, “F”, “ A case where “G” is given and “E”, “D”, “F”, and “G” from the highest score data is shown.

  The intervention information transmission unit 15 acquires intervention material data corresponding to each intervention ID. In the example of FIG. 9, intervention material data whose intervention ID is “D” is media data, and intervention material data whose intervention IDs are “E”, “F”, and “G” are intervention information generation rule data. The intervention information transmission part 15 of 1st Embodiment produces | generates the browsing content which arranged the intervention material data or the content which processed it in time series in order with high score data, and produces | generates this as intervention data. Here, since the intervention material data whose intervention ID is “D” is media data, it is only necessary to copy it to the intervention data to be output as it is. On the other hand, since the intervention material data whose intervention IDs are “E”, “F”, and “G” are intervention information generation rule data, the basic attribute data, vital data, action target data, action data, etc. of the subject are used. The intervention information generation rule is executed to generate data to be inserted into the intervention data. For example, the intervention information generation rule data with the intervention ID “E” is a time series graph of blood pressure, weight, number of steps, and night snacks, so vital data (blood pressure, weight) and action data (steps, nighttime) A rule is executed using the (a snack amount), and a graphed browsing content is generated and inserted into the intervention data.

  Since it can be determined that the higher the score data, the better it should be presented to the target person, so that the intervention data is generated by arranging the browsing content in descending order of the score data, and the target person stops browsing the intervention data halfway However, the browsing content corresponding to the intervention material data having a higher score data is increased in possibility of being browsed. Although the case where score data is given from the matching unit 13 to the intervention information transmitting unit 15 in order to determine the order of browsing content has been shown, the matching unit 13 recognizes the browsing order based on the score data, and in the order of the browsing order. The intervention ID may be given to the intervention information transmission unit 15.

  In addition, the description order in the intervention information database unit 14 of the intervention content and the intervention information generation rule is set to the order in which the output of the intervention data is desired to be accelerated, and the intervention data related to the intervention material data determined to be output is set as the intervention information. You may make it output from the thing with the description in the database part 14 early.

  Intervention data may be generated so as to automatically switch between browsing contents, and browsing is performed by a target person (or supporter) switching to the next browsing content for an information browsing unit 16 described later. Intervention data may be generated so as to switch between contents for use. In the former case, an upper limit time for browsing the intervention data is set, the time for browsing the generated intervention data (for example, the browsing time is described in advance for each intervention material data, and the intervention material to be applied this time If the data browsing time exceeds the upper limit time, a process for keeping the browsing time within the upper limit time may be performed. For example, the browsing time of each browsing content may be shortened according to the time exceeding the upper limit time. Further, for example, the browsing content with the last order may be excluded from the intervention data when the total browsing time is in the time zone that exceeds the upper limit time.

  The information browsing unit 16 causes the subject to browse the intervention data generated by the intervention information transmission unit 15. The information browsing unit 16 may start a browsing operation (intervention data reproduction operation; including intervention data capture) when operated by the subject. The intervention data generated from the intervention information transmission unit 15 may be used. It is also possible to automatically start the browsing operation when given.

(A-2) Operation of the First Embodiment Next, the operation of the action support system 1 according to the first embodiment having the functional units as described above will be described with reference to FIG.

  Information about the subject is collected by the information collecting unit 10 (step S10), given to the subject information database unit 11 from the information collecting unit 10 (step S12), and stored as subject data in the subject information database unit 11. (Step S14).

  The intervention approach determination unit 12 receives the behavior change stage and the relapse level from the subject data from the subject information database unit 11 (step S16), and the intervention approach determination unit 12 inputs the action change stage and the relapse level. In response to this, one or a plurality of intervention approaches are selected (step S18), and an intervention approach ID related to the selected intervention approach is output from the intervention approach determination unit 12 to the matching unit 13 (step S20).

  When the intervention approach ID is given from the intervention approach determination unit 12 to the matching unit 13, basic attribute data, vital data, and action target data are acquired from the target person information database unit 11 by the matching unit 13 (step S22). Metadata is acquired from the information database unit 14 by the matching unit 13 (step S24). Then, the matching unit 13 calculates the similarity between the acquired intervention approach ID, basic attribute data, vital data, and action target data, and the metadata for each intervention ID (step S26). Then, the matching unit 13 extracts one or more high-order intervention IDs from the score data obtained by calculation (step S28), and outputs the extracted intervention IDs and score data to the intervention information transmission unit 15 ( Step S30).

  When the intervention ID and score data are given from the matching unit 13 to the intervention information transmission unit 15, the intervention information transmission unit 15 acquires intervention material data corresponding to the given intervention ID from the intervention information database unit 14 (step S1). S32) Based on the acquired intervention material data (and fetching desired data from the target person information database unit 11 if necessary (step S34)), intervention data is generated (step S36), and the information browsing unit 16 (step S38).

  The information browsing unit 16 is used, and the generated intervention data is browsed by the subject (step S40). Thereby, the target person can browse the intervention data suitable for his / her behavior change stage, relapse level, and segment characteristics.

(A-3) Effects of the first embodiment According to the behavior support system of the first embodiment, the behavior modification stage and the relapse level are determined based on the behavior implementation status and the input content of the behavior motivation. The intervention approach is determined based on the transformation stage and the relapse level, and the intervention data suitable for the intervention approach is generated and viewed by the subject (or supporter) according to the characteristics of the target segment. Information intervention suitable for the person's behavioral transformation stage and relapse level.

  For example, in the behavior support system according to the first embodiment, when the subject who has started walking exercise does not exercise for one day, the behavior modification stage and the relapse level are determined as the execution stage and slip, respectively, and the intervention approach “ID_ Interventions such as “praise” (information intervention with content that praises and encourages past actions) and “ID_high risk coping” (information intervention on how to prevent relaxation during bad weather and fatigue) are performed. Thereby, it can be expected that the behavior of the subject changes and the exercise is resumed.

  By the way, in the conventional system, intervention based on the behavior change stage and the relapse level is not performed, so once a slip situation occurs, the subject's willingness to act decreases, and the deterioration of the relapse level and the decrease in the behavior change stage, The behavior often stops, and there is a fear that the health state deteriorates with the behavior stop. According to the behavior support system according to the first embodiment, as described above, motivation and self It is possible to improve efficacy and suppress the occurrence of relapse.

(B) 2nd Embodiment Next, 2nd Embodiment of the action assistance system by this invention, a terminal, an apparatus, a method, and a program is described, referring drawings. The second embodiment is also intended to support the health behavior of the subject.

  FIG. 11 is a block diagram illustrating a functional configuration of the action support system according to the second embodiment. FIG. 11 is the same as FIG. 1 according to the action support system according to the first embodiment. It is attached. Note that an example of the arrangement of physically existing devices that construct the action support system of the second embodiment can also be represented in FIG. 2 described above.

  In FIG. 11, the action support system 1A of the second embodiment includes an information collection unit 10, a subject information database unit 11, an intervention approach determination unit 12, a matching unit 13, an intervention information database unit 14, an intervention information transmission unit 15, and In addition to the information browsing unit 16, an intervention approach evaluation unit 17 is provided.

  The action support system 1A of the second embodiment is different from the action support system 1 of the first embodiment in that it includes an intervention approach evaluation unit 17, and hereinafter, the intervention approach evaluation unit 17 and the intervention approach evaluation unit The function of the component whose function has partially changed from the first embodiment due to the presence of 17 will be described.

  In the case of the second embodiment, the matching unit 13 gives an intervention approach ID, which is an application condition in metadata corresponding to intervention material data included in the intervention data, to the subject information database unit 11. In most cases, the intervention approach ID given from the intervention approach determination unit 12 to the matching unit 13 matches the intervention approach ID that is the application condition in the metadata corresponding to the intervention material data included in the intervention data. Therefore, instead of giving the intervention approach ID from the matching unit 13 to the subject person information database unit 11, the intervention approach determination unit 12 may give the subject approach information database unit 11 an intervention approach ID.

  When the intervention approach ID is given from the matching unit 13, the subject information database unit 11 of the second embodiment accumulates the adopted intervention approach ID.

  The intervention approach evaluation unit 17 periodically inputs the behavior change stages, the relaxation levels, and the approach IDs of all the subjects from the subject information database unit 11. Based on these data, the intervention approach evaluation unit 17 changes the action change stage and the relapse level for each set of intervention approach ID, action change stage and relapse level (hereinafter referred to as intervention approach ID evaluation set data). It is determined whether the change in the trend tends to improve or worsens, and if the trend is better, the effectiveness of the intervention approach ID is increased, and if the trend is worse, the effectiveness of the intervention approach ID is decreased. Then, the effectiveness update data is generated and output to the intervention approach determination unit 12. The effectiveness update data includes the intervention approach ID evaluation set data and the change amount of the effectiveness of the intervention approach ID included therein or the new effectiveness.

  FIG. 12 is an explanatory diagram of an intervention approach evaluation method performed by the intervention approach evaluation unit 17.

  Based on the latest intervention approach ID evaluation group data of a subject and the previous intervention approach ID evaluation group data, the intervention approach ID determined at that time with respect to the previous behavior change stage and the relapse level When the applied intervention is performed, it is confirmed (followed) which combination (latest state) of the behavior change stage and the relapse level has changed. For all subjects who have the same combination data for evaluation of previous intervention approach IDs, the combination of the behavior change stage and the relapse level after the change is tabulated.

  FIG. 12 shows that a pair of a previous behavioral change stage and a relapse level performs an intervention applying the same intervention approach ID “ID_praise” to a subject whose behavioral transformation stage is an execution stage and a replus level is a lapse. Shows the change destination. The combination after the intervention of “praise” for the subject whose action change stage is the execution stage and the replus level is lapsed is generally (p1) the action change stage is the execution stage and the replus level is smooth. p2) The behavioral transformation stage is the maintenance stage and the replus level slips, (p3) The behavioral transformation stage is the maintenance stage and the replus level is lapsed, (n1) The behavioral transformation stage is the execution stage and the replus level is relapsed, (n2) The behavioral transformation stage But in the preparation stage, the replus level can be classified as lapse.

  The number of subjects who have moved to these behavior change destinations is counted. When the transition destination is p1 to p3, it represents the case where the health exercise has improved, and the intervention that applies “ID_praise” to the subject whose behavior change stage is the execution stage and the replus level is lapse. It means that it is functioning positively. On the other hand, when the transition destination is n1 and n2, it represents a case where the health exercise has deteriorated. Intervention applying “ID_praise” to the subject whose behavior change stage is the execution stage and the replus level is lapse Is functioning negatively. An evaluation value is calculated by applying a predetermined evaluation formula (for example, a weighted addition formula in which positive indicates improvement and negative indicates deterioration) for the total number of migration destinations. In accordance with the range to which it belongs, the data for updating the effectiveness that changes the effectiveness of “ID_praise” when the behavior modification stage is the execution stage and the replus level is lapse is generated and output to the intervention approach determination unit 12.

  When the effectiveness update data is given, the intervention approach determination unit 12 of the second embodiment indicates the effectiveness in the intervention approach ID evaluation group data defined by the effectiveness update data. Update as follows.

  FIG. 13 shows an example of changing the effectiveness of the evaluation results for two intervention approach IDs “ID_proxy experience” and “ID_praise”. “V−” indicates a combination of an action transformation stage and a reduction level that lowers the effectiveness of “ID_proxy experience” by one level, and “V +” indicates the effectiveness of “ID_proxy experience” by one level. It shows a combination of a behavior change stage and a relapse level. “P-” indicates a combination of an action transformation stage and a reduction level that lowers the effectiveness of “ID_praise” by one step, and “P +” increases the effectiveness of “ID_praise” by one step. It shows the combination of the behavior change stage and the relax level.

  The intervention approach determination unit 12 of the second embodiment, when the effectiveness update data is given from the intervention approach evaluation unit 17, for each combination of the behavior modification stage and the relaxation level, based on the effectiveness update data, Modify the effectiveness of the intervention approach.

  As a result of this modification, selection of an intervention approach in the intervention approach determination unit 12 makes it easier to adopt an intervention approach that can be presumed to be highly effective as a result of tracking past interventions for each combination of the behavior change stage and the relapse level. Intervention approaches that can be inferred to be less effective are more difficult to adopt.

  According to the behavior support system 1A of the second embodiment, the behavior change stage and the relapse level are determined based on the implementation status and the willingness of health behavior, and further, the intervention approach is determined based on the behavior change stage and the relapse level. Based on the judgment results, after intervention of information on health behavior, the criteria for the intervention approach was updated based on the subsequent behavioral change stage and changes in the relapse level. The gender is corrected based on the results of the effect of the information intervention related to the intervention approach, and the information intervention more suitable for the behavior change stage and the relaxation level of the subject can be performed.

  For example, in the behavior support system 1A of the second embodiment, when the subject who has started walking exercise does not exercise for one day, the behavior change stage and the relapse level are determined as the execution stage and slip, respectively, and the intervention approach “ Interventions such as “ID_praise” and “ID_high risk handling” are selectively performed. However, when the intervention approach evaluation unit 17 detects that the intervention approach “ID_praise” is highly effective, the execution stage thereafter. In addition, “ID_praise” is more easily selected as an intervention approach for the subject of the slip, and it is unlikely that the degradation of the relax level from the slip occurs, and the subject can be expected to resume exercise.

(C) Third Embodiment Next, a third embodiment of the action support system, terminal, device, method, and program according to the present invention will be described with reference to the drawings. The second embodiment is also intended to support the health behavior of the subject.

  FIG. 14 is a block diagram illustrating a functional configuration of the action support system according to the third embodiment. FIG. 14 is the same as FIG. 1 according to the action support system according to the first embodiment. It is attached. FIG. 15 is a block diagram showing an example of the arrangement of physical devices for constructing the action support system according to the third embodiment, which is the same as FIG. 2 according to the action support system of the first embodiment. Corresponding portions are indicated by the same corresponding reference numerals.

  Compared to the action support system 1 of the first embodiment, the action support system 1B of the third embodiment physically has more supporter terminals 6 as shown in FIG. The supporter terminal 6 is a terminal used by a supporter who supports the target person, and corresponds to a television receiver, a set top box, a smartphone, a tablet, and the like having an information communication function.

  The action support system 1B of the third embodiment is functionally compared to the action support system 1 of the first embodiment, as shown in FIG. 14, the intervention approach transmission unit 18 and the intervention approach reception unit 19. Have The intervention approach transmitter 18 is provided in the server computer 3, and the intervention approach receiver 19 is provided in the supporter terminal 6.

  When an intervention approach ID is given from the intervention approach determination unit 12, the intervention approach transmission unit 18 transmits the given intervention approach ID to the intervention approach reception unit 19 associated with the supporter by communication means such as mail.

  The intervention approach receiving unit 19 receives the transmitted intervention approach ID and provides it to the supporter. The supporter confirms the approach ID, appropriately selects an intervention approach ID for actually performing information intervention, and performs information intervention for the subject based on the content. For example, a paper medium file or an electronic medium file in which an intervention approach ID and intervention information are associated with each other is distributed in advance to the supporter, and the supporter refers to the paper medium file or the electronic medium file to obtain information. Intervention may be performed. Further, for example, the supporter terminal 6 is provided with the matching unit 13, the intervention information database unit 14, and the intervention information transmission unit 15 of the first embodiment, and the supporter performs these function units based on the received intervention approach ID. And all or part of the intervention data generated by the intervention information transmission unit 15 may be presented to the subject person based on his / her own judgment.

  If the supporter finally determines an intervention approach ID related to information intervention as in the third embodiment, the intervention approach evaluation unit 17 is provided when the intervention approach evaluation unit 17 is provided as in the second embodiment. The intervention approach ID included in the intervention approach ID evaluation set data given to the evaluation unit 17 may be the intervention approach ID selected by the supporter.

  According to the third embodiment, similarly to the first embodiment, it is possible to perform information intervention suitable for the behavior change stage and the relaxation level of the subject, and as a result, motivation and self It is possible to improve the efficiency and to suppress the occurrence of relapse. According to the third embodiment, since the supporter who knows the subject well performs the final selection of information to intervene, the selection of the intervention information can be appropriately executed.

(D) Other Embodiments In the description of each of the above embodiments, various modified embodiments have been mentioned, and further modified embodiments as exemplified below can be given.

  (D-1) In 1st and 2nd embodiment, the intervention information transmission part 15 provided in the server computer 3 sends intervention data to the information browsing part 16 provided in the subject person terminal 2, and a subject person intervenes. Although the case of browsing information has been described, as another configuration, intervention data may be transmitted to a supporter other than the target person or an external system.

  FIG. 16 is an explanatory diagram showing a physical arrangement of an action support system having a function of transmitting to a supporter other than the target person and an external system. In addition to the physical arrangement shown in FIG. 2 used in the description of the first embodiment, a supporter terminal 6 and a point management system 7 are connected via a communication path 4.

  For example, when the matching unit 13 outputs an intervention ID corresponding to “ID_barrier removal”, the intervention information transmission unit 15 transmits the information to the supporter as intervention information. Thereafter, the supporter can confirm the information and perform support for the target person. For example, when the matching unit 13 outputs an intervention ID corresponding to “ID_reward”, the intervention information transmission unit 15 transmits the information to the external point management system 7 as intervention information. Thereafter, the point management system 7 notifies the subject of the point addition information, thereby giving a good stimulus to the subject's willingness to act. The point management system 7 here may be related to an external organization. For example, the point management system 7 of a company that operates a drug store may be used, and in this case, the possibility of increasing health exercise can be increased by reducing the purchase cost of drugs and the like.

  (D-2) In the first to third embodiments, the case where the target person terminal 2 is configured by a terminal such as a personal computer, a television receiver, a set top box, a smartphone, or a tablet has been described. As another configuration of the target person terminal 2, the terminal is separated into a gateway device and an information browsing terminal, and the gateway device serves as the information collecting unit 10, and a measuring meter such as a sphygmomanometer 5 a, a weight scale 5 b, a pedometer 5 c, etc. The information browsing terminal may be responsible for the function of the information browsing unit 16 and present the intervention information to the target person.

  FIG. 17 is an explanatory diagram showing the physical arrangement of the action support system in which the subject person terminal 2 is separated into the gateway device 2a and the information browsing terminal 2b. The gateway device 2a relays measurement data of the measuring meters 5a to 5c to the server computer 3, while intervention information from the server computer 3 is transmitted to the information browsing terminal 2b via the gateway device 2a. Further, when the target person or supporter inputs the target person data other than the measurement data on the information browsing terminal 2b, the gateway apparatus 2a can be provided with the same target person data as in the embodiment described above in the server computer 3. To the target person information database unit 11.

  (D-3) In the first and second embodiments, the functions of the information collecting unit 10 and the information browsing unit 16 are provided in the target person terminal 2, and other functions are provided in the server computer 3, and the target person terminal 2 and the server Although the case where the computer 3 is connected via the communication path 4 has been described, all the functional units of the action support system may be mounted on one device. The same modified embodiment can be given to the third embodiment.

  FIG. 18 is an explanatory diagram showing a physical arrangement of an action support system in which all functional units are mounted on one device. The action support dedicated device 8 in FIG. 18 has all the functional units in the action support system (1, 1A, or 1B) (Note that the action support dedicated device is also called the action support system in the claims). ). Except for the case of linking with an external system such as a point management system, the same effect as that of the above-described embodiment can be obtained only by the action support dedicated device 8 without using a communication path. In the case of support by the action support dedicated device 8, unlike the above-described embodiment, it is possible to perform effective intervention on the target person without requiring a communication service.

  (D-4) In the first and second embodiments, the description has been given of the case where the matching of the intervention content in the matching unit 13 is performed using the metadata for each media content, but the media content summary information is used instead of the metadata. May be used. In this case, the matching unit 13 extracts a keyword from the summary information, and performs matching processing using this as metadata.

  (D-5) In the first to third embodiments, a case is described in which subject data collected by the information collecting unit 10 is behavior data of the number of steps and night snack, and vital data is weight and blood pressure. However, the behavior data and vital data may be data suitable for the subject's management target disease, behavior environment, and the like. Moreover, what is necessary is just to apply arbitrary methods, such as taking in from a measuring meter (sensor), input operation to a terminal by an object person or a supporter, or paper entry, as a acquisition method of object person data. In the case of paper entry, it is necessary for an operator or the like to input the content of the entry or to convert it into data using an OCR (optical character reader).

  For example, when behavioral support aims at preventing lifestyle-related diseases, body weight, blood pressure, HbA1c value, LDL cholesterol value, and waist circumference are selected as vital data, and the amount of activity, calorie intake, sugar intake is selected as behavior data. It is only necessary to select mass, obtain weight, blood pressure, and activity amount from a measuring meter, and input values for other items from the terminal.

  (D-6) In 1st-3rd embodiment, the case where the information collection part 10 was provided in the subject person terminal 2, and the action change stage and the relapse level were determined based on the action willingness and the implementation condition of action was shown. However, the target person terminal 2 may only acquire the willingness of action and the state of implementation of the action, and the server computer 3 may execute the subsequent action modification stage and the determination of the relaxation level.

  (D-7) In the first to third embodiments, in the information collecting unit 10, the behavior change stage is determined based on a combination of four stages of action motivation and two stages of action duration for half a year. (See FIG. 3), for example, a classification method other than the above may be applied, for example, the behavior continuation period is divided into two stages with a boundary of three months. In this case, the determination method of the intervention approach in the intervention approach determination unit 12 may be changed in accordance with the determination method of the new behavior change stage.

  Further, in the first to third embodiments, the information collecting unit 10 has shown the case where the action stop period is determined in five stages, and the group of the action modification stage is set as two groups to determine the relaxation level (see FIG. 4). The number of stages and the number of groups may be other than this. In this case, the intervention approach determination method in the intervention approach determination unit 12 may be changed in accordance with a new replus level determination method.

  (D-8) In the second embodiment, it is assumed that the effectiveness of the intervention approach is common to all subjects, and the intervention approach evaluation unit 17 performs the behavioral transformation stage, the relapse level, and the intervention approach ID of all subjects. Based on the above, it was shown that the data for updating the effectiveness of the intervention approach was formed, but the effectiveness was set for each individual person or segment (for example, 70s, women, a group of subjects with high blood pressure) and intervention You may make it perform determination and update of an approach.

  When the effectiveness is set for each target person, the intervention approach can be evaluated based on the behavioral habits of the target person and appropriate intervention can be performed.

  In addition, when setting the effectiveness level on a segment basis, the intervention approach can be evaluated based on the habits, attributes, and characteristics common to the target users of a specific attribute, and appropriate intervention can be performed. Become. For example, target diseases that can be managed, target data that can quantitatively express action contents and deadlines, vital data such as blood pressure, gender, age, region, health level, medical history, preferences, needs, family structure, residence type, means of going out A segment may be defined by one or a plurality of items such as and the range thereof.

  (D-9) In the first to third embodiments, the action support system for the subject who needs blood pressure management has been shown. However, if the action modification intervention is an action in the field, the present invention is regarded as a health action. It can also be applied to fields other than the above management. For example, if the target person to be educated actively aims to continue the learning behavior, the present invention replaces vital data in the target data with results data, behavior data with learning time, the number of learning pages, etc. The technical idea can be applied.

  DESCRIPTION OF SYMBOLS 1, 1A, 1B ... Action support system, 10 ... Information collection part, 11 ... Target person information database part, 12 ... Intervention approach determination part, 13 ... Matching part, 14 ... Intervention information database part, 15 ... Intervention information transmission part, 16 ... Information browsing part, 17 ... Intervention approach evaluation part, 18 ... Intervention approach transmission part, 19 ... Intervention approach reception part.

Claims (20)

Target person behavior determination means for determining whether the target person's action is in any one of a plurality of action change stages that are considered to be changed, and the degree of the target person's action stoppage is at a plurality of relaxation levels. When,
And an intervention approach selection means for selecting an intervention approach, which is an intervention method that may change the behavior of the subject based on the determined behavior modification stage and the relapse level.   2. The behavior according to claim 1, wherein the subject behavior determination means acquires a duration of the subject's behavior goal and the willingness of the subject and determines a behavior transformation stage based on the duration. Support system.   The behavior support system according to claim 1 or 2, wherein the target person behavior determination means detects a stop period with respect to the target goal of the target person and determines a relapse level based on the stop period.   The action support system according to any one of claims 1 to 3, further comprising intervention information generation means for generating intervention information suitable for the selected intervention approach.   5. The action support system according to claim 4, wherein the intervention information generating means generates intervention information that matches the selected intervention approach and the feature classification to which the subject's feature belongs. The intervention information generation means stores in advance a plurality of content data that can be intervention information directly or by processing, and selection determination data including determination information for selecting each content data. ,
Claiming the selection data of each content data, calculating the degree of consistency with the feature classification to which the target person belongs and the intervention approach, selecting content data with a high degree of consistency, and generating intervention information Item 6. The action support system according to Item 5. The intervention information generation means prestores intervention information generation rule data defining rules for generating intervention information and selection determination data including determination information for selecting each of the intervention information generation rule data And
Targeting the selection judgment data of each intervention information generation rule data, calculating the degree of consistency with the feature classification to which the target person belongs and the intervention approach, selecting intervention information generation rule data with a high degree of consistency, and selecting the intervention information generation rule The action support system according to claim 5 or 6, wherein the intervention information is generated by applying the subject data to the generation rule in the data.   Based on the combination of the intervention approach selected by the intervention approach selection means and the action modification stage and the relaxation level obtained by the target action determination means after that, the action modification stage and the relaxation level when selecting the intervention approach 8. An intervention approach evaluation means for evaluating whether or not the selection criteria for the intervention approach is appropriate for the combination of the above and changing the selection criteria for the intervention approach based on the evaluation result. The action support system according to any one of the above.   The above intervention approach evaluation means quantifies the degree of improvement or deterioration in the behavioral change stage and the relapse level of the subject who performed the intervention based on the selected intervention approach, and selects the intervention approach based on the evaluation value. The action support system according to claim 8, wherein the reference is changed.   The action support system according to claim 1, wherein all the means are included in one physical device. An action support terminal having the target person action determination means;
The action according to any one of claims 1 to 9, wherein an action support device having the intervention approach selection means, the intervention information generation means, and the intervention approach evaluation means is connected via a communication path. Support system.   12. The physical device or the action support terminal further comprises intervention information providing means for providing intervention information generated by the intervention information generating means to a target person or a supporter thereof. Action support system described in 1. The action support system in which the action support terminal and the action support device are connected via a communication path has,
Target person behavior determination means for determining whether the target person's action is in any one of a plurality of action change stages that are considered to be changed, and the degree of the target person's action stoppage is at a plurality of relaxation levels. When,
Intervention approach selection means for selecting an intervention approach that is a method of intervention that may change the behavior of the subject based on the determined behavior change stage and relapse level,
An action support terminal comprising the subject action determination means. The action support system in which the action support terminal and the action support device are connected via a communication path has,
Target person behavior determination means for determining whether the target person's action is in any one of a plurality of action change stages that are considered to be changed, and the degree of the target person's action stoppage is at a plurality of relaxation levels. When,
Intervention approach selection means for selecting an intervention approach that is a method of intervention that may change the behavior of the subject based on the determined behavior change stage and relapse level,
An action support apparatus comprising the intervention approach selection means.   The action support device according to claim 14, further comprising intervention information generation means for generating intervention information suitable for the selected intervention approach.   Based on the combination of the intervention approach selected by the intervention approach selection means and the action modification stage and the relaxation level obtained by the target action determination means after that, the action modification stage and the relaxation level when selecting the intervention approach 16. The method according to claim 14, further comprising an intervention approach evaluation unit that evaluates whether or not the selection criteria for the intervention approach is appropriate for the combination, and changes the selection criteria for the intervention approach based on the evaluation result. The action support apparatus described in 1. The action support system in which the action support terminal and the action support device are connected via a communication path has,
Target person behavior determination means for determining whether the target person's action is in any one of a plurality of action change stages that are considered to be changed, and the degree of the target person's action stoppage is at a plurality of relaxation levels. When,
Intervention approach selection means for selecting an intervention approach that is a method of intervention that may change the behavior of the subject based on the determined behavior change stage and relapse level,
An action support program characterized by causing a computer to function as the intervention approach selection means. The computer
18. The action support program according to claim 17, further comprising an intervention information generation unit that generates intervention information that conforms to the selected intervention approach. The computer
Based on the combination of the intervention approach selected by the intervention approach selection means and the action modification stage and the relaxation level obtained by the target action determination means after that, the action modification stage and the relaxation level when selecting the intervention approach 18. It is further made to function as an intervention approach evaluation means for evaluating whether or not the selection criteria for the intervention approach is appropriate for the combination of the above and changing the selection criteria for the intervention approach based on the evaluation result. The action support program according to 18. In the behavior support method in the behavior support system that supports the behavior of the target person to improve toward the target goal of the target person,
Whether the target person's action determination means is in the action change stage of the plurality of action change stages that the target person's action is considered to have changed, or the degree of the action stop of the target person is in the plurality of relapse levels Judgment,
An action in an action support system characterized in that the intervention approach selection means selects an intervention approach that is an intervention method that may change the behavior of the subject based on the determined action change stage and the relapse level. Support method.

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