JP2018049484A - Temperament estimation system, temperament estimation method and temperament estimation processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a temperament estimation system for estimating user's temperament free from influences of subjective view of the user or a relative of the user (guardian or the like).SOLUTION: A temperament estimation system 10 for estimating temperament of a user, includes: plural sensors 101a, 101b each of which sequentially measures actions of the user; an evaluation unit 110 that evaluates each of plural evaluation items relevant to the actions of the user based on the result of measurement by the sensors 101a, 101b; and an estimation unit 120 that estimates temperament of the user based on the evaluation result on each of the plural evaluation items by the evaluation unit 110.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a temperament estimation system for estimating a temperament of a person, and a temperament estimation method and a temperament estimation processing program used in this temperament estimation system.

  Conventionally, a temperament questionnaire used to determine an infant's temperament by the questionnaire method is known (see Non-Patent Document 1). An answer recording apparatus for the questionnaire method is known (see Patent Document 1).

JP 2000-3351 A

Yuko Takei, two others, "Attempts to create an infant temperament questionnaire", Personality Research, Japan Personality Psychological Association, 2007, Vol. 16, No. 1, p. 80-91

  If the infant's parents, educators, etc. answer the temperament questionnaire to determine the infant's temperament, it will be affected by the subjectivity (prediction) of the guardian, etc., and the temperament cannot be accurately determined. there is a possibility. Further, according to the conventional answer recording apparatus, even if the amount of information related to the answer can be increased somewhat, the answer itself cannot be automatically generated.

  Therefore, an object of the present invention is to provide a temperament estimation system that estimates a user's temperament without being affected by the subjectivity of the user or a person concerned (eg, a guardian). Another object of the present invention is to provide a temperament estimation method and a temperament estimation processing program used in this temperament estimation system.

  In order to achieve the above object, a temperament estimation system according to one aspect of the present invention is a temperament estimation system that estimates a user's temperament, and includes one or more sensors that perform sequential measurement in relation to the user's behavior; And an evaluation unit that evaluates each of a plurality of evaluation items related to the user's behavior based on a result of measurement by the one or more sensors, and an evaluation result of each of the plurality of evaluation items by the evaluation unit. An estimation unit for estimating the user's temperament.

  In order to achieve the above object, a temperament estimation method according to one aspect of the present invention is a temperament estimation method for estimating a user's temperament, and relates to the user's behavior using one or more sensors. A measurement step that performs sequential measurement, an evaluation step that evaluates each of a plurality of evaluation items related to the user's behavior based on a result of the measurement in the measurement step, and each of the plurality of evaluation items in the evaluation step An estimation step for estimating the temperament of the user based on the evaluation result, and a presentation step for presenting presentation information indicating the temperament estimated in the estimation step are included.

  In order to achieve the above object, a temperament estimation processing program according to one aspect of the present invention is a temperament estimation processing program for causing a computer to execute a temperament estimation process for estimating a temperament of a user, the temperament estimation process Is based on the result of sequential measurement performed by one or more sensors in relation to the user's behavior, an evaluation step for evaluating each of a plurality of evaluation items related to the user's behavior, and the evaluation step An estimation step of estimating the temperament of the user based on the evaluation results for each of the plurality of evaluation items.

  According to the temperament estimation system and the like according to one aspect of the present invention, the temperament of the user can be estimated without being influenced by the subjectivity of the user or the related parties of the user.

1 is a schematic configuration diagram of a temperament estimation system according to Embodiment 1. FIG. It is a figure which shows an example of the image imaged by the imaging part of a temperament estimation system. It is a figure which shows an example of a temperament questionnaire. It is the figure which illustrated the outline | summary of the evaluation system used in the evaluation part of a temperament estimation system. It is a figure which shows an example of the evaluation object action record (item number A1 of an evaluation item) used by the evaluation part. It is a figure which shows an example of the evaluation object action record (item number A2 of an evaluation item) used by the evaluation part. It is a figure which shows an example of the evaluation value table used by the evaluation part. It is a figure which shows an example of the temperament tendency table used by the estimation part. It is a flowchart which shows an example of operation | movement of a temperament estimation system. It is a figure which shows an example of the evaluation result by an evaluation part. It is a figure which shows the example of presentation of the information for presentation by the presentation part of a temperament estimation system.

(Embodiment 1)
Hereinafter, embodiments will be described with reference to the drawings. Each of the embodiments shown here shows a specific example of the present invention. Accordingly, the numerical values, shapes, materials, components, component arrangement and connection forms, steps (steps) and order of steps, and the like shown in the following embodiments are examples and limit the present invention. is not. Among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims can be arbitrarily added. Each figure is a mimetic diagram and is not necessarily illustrated strictly.

  Hereinafter, a temperament estimation system according to an embodiment of the present invention will be described.

(Constitution)
FIG. 1 is a diagram showing a schematic configuration of a temperament estimation system 10 according to the present embodiment. The temperament estimation system 10 is an example of a system (temperament estimation system) that estimates the temperament of a user such as an infant or a child by sensing the user's behavior. Temperament is a characteristic inherent in each person that generally serves as a source of personality and influences behavioral decisions. Temperaments generally do not change for a short period of time of several tens of days or less. Here, the temperament estimation system 10 will be described using an example of estimating the temperament of an infant living in the house 20.

  As shown in FIG. 1, the temperament estimation system 10 includes an information processing apparatus 100, a sensor 101 a, a sensor 101 b, and a presentation unit 102 installed in a house 20. Note that the information processing apparatus 100 and the presentation unit 102 may be integrated and mounted in a single housing, or may be mounted in separate devices.

  The sensor 101a and the sensor 101b are an example of a plurality of sensors used in the temperament estimation system 10. Here, two sensors are shown for convenience of explanation, but three or more sensors may be installed. Various sensors that can measure human behavior can be used as the sensor 101a and the sensor 101b. The various sensors are an image sensor (camera), a sound sensor (microphone), a vibration sensor, a human sensor, and the like. As an example, the sensor 101a is an image sensor that can communicate with the information processing apparatus 100, and will be described as generating an image (image data) by imaging and transmitting the image to the information processing apparatus 100. The sensor 101a is installed at a position where an image of a predetermined space, which is a room where an infant in the house 20 can play with toys, can be taken as an object. Further, as an example, the sensor 101b will be described as a sensor that can be used for detecting that an infant changes clothes. The sensor 101b is, as a specific example, a human sensor capable of detecting entry into a room with a closet for storing infant clothing.

  FIG. 2 shows an example of an image generated by imaging by the sensor (image sensor) 101a at the time of completion of tidying after the infant has played with toys (at the end of the time for tidying up). An image 210 illustrated in FIG. 2 is an image captured in a state in which toys (blocks) 210a to 210e are scattered (a scattered state) on a floor in a predetermined space. This image is sent to the information processing apparatus 100, and is used by the information processing apparatus 100 to determine whether, for example, an infant has performed an action to be evaluated.

  The presentation unit 102 is a presentation device such as a display as a user interface for the information processing device 100 to present information for presentation indicating an estimation result of an infant's temperament.

  The information processing apparatus 100 evaluates each of a plurality of evaluation items based on the measurement result of the user's behavior by sensing with the sensor 101a and the sensor 101b in a certain period, and estimates the user's temperament based on the evaluation result. A computer having a function. The evaluation item relates to a user's action (evaluation target action) as an evaluation target. The evaluation items correspond to the question items in the temperament questionnaire used for determining the infant's temperament by the questionnaire method, and may be the same as the question items in a certain existing temperament questionnaire. FIG. 3 shows an example of a temperament questionnaire. As shown in the figure, the temperament questionnaire is a sheet on which a plurality of question items are described for each target temperament, which is a classification of temperament characteristics such as nervousness and negative emotional reaction. Respondents such as guardians of infants correspond to the corresponding category of the frequency of occurrence of the events indicated in the question item (common, occasional, rare, none at all) for each question item. Enter the score in the score field. The respondent calculates the total score entered for each target temperament and fills in the total score column. The temperament questionnaire shows whether the tendency of the infant's target temperament is high, medium or low by comparing the total score entered in the total score column with a predetermined reference threshold (not shown). Judgment is now possible. In the determination of the temperament by the questionnaire method using such a temperament questionnaire, the determination result may depend on the subjectivity of the respondent (such as an infant guardian), whereas in the information processing apparatus 100, an infant guardian or the like The child's temperament is estimated objectively based on the sensing result without being influenced by the subjectivity of the child. The infant's temperament is estimated by estimating the tendency of each target temperament.

  The information processing apparatus 100 includes a communication interface (I / F), a memory, a processor (microprocessor), and the like. The communication I / F is a communication circuit for wireless communication or wired communication. Through the communication I / F, the information processing apparatus 100 can communicate with, for example, the sensors 101a and 101b and the presentation unit 102. The memory is a ROM that stores a program and data in advance, a RAM that is used to store data or the like when the program is executed, and may include, for example, a nonvolatile memory. Note that the information processing apparatus 100 may include a storage medium such as a hard disk in addition to the memory. The processor performs various processes by controlling the communication I / F and the like by executing a program (temperament estimation processing program for the temperament estimation process) stored in the memory. Note that the information processing apparatus 100 may include an input device (a keyboard, a touch panel, a voice input device, or the like) as a user interface for receiving an operation by an infant guardian or the like. In addition, the information processing apparatus 100 communicates with an information terminal (smart phone, tablet, etc. carried by an infant guardian) using the communication I / F, so that the information terminal can be used as an input device and a presentation unit of the information processing apparatus 100. You may use as 102.

  The information processing apparatus 100 is functionally configured to evaluate the user's evaluation target behavior and estimate the temperament based on the measurement results of the sensors 101a and 101b. And the estimation part 120 is provided.

  The evaluation unit 110 is realized by, for example, a communication I / F of the information processing apparatus 100, a memory, a processor that executes a temperament estimation processing program, and the like. The evaluation unit 110 has a function of evaluating the user's evaluation target behavior for each evaluation item based on the measurement result of the user's behavior by sensing with the sensor 101a and the sensor 101b in a certain period.

  Evaluation on the evaluation items by the evaluation unit 110 will be described with reference to FIGS. FIG. 4 is a diagram illustrating an overview of an evaluation method (evaluation algorithm) used by the evaluation unit 110. In this evaluation method, an execution determination condition for an evaluation target action is defined for each of a plurality of evaluation items that define different evaluation target actions. For convenience of explanation, the same item numbers are assigned to the evaluation items corresponding to the question items in the temperament questionnaire shown in FIG. When the execution determination condition for the evaluation target behavior is satisfied, it is determined that the evaluation target behavior has been executed. Execution of the evaluation target behavior is also referred to as execution of the evaluation target behavior, and failure of the evaluation target behavior is also referred to as not corresponding to execution of the evaluation target behavior.

  In the example of FIG. 4, as an execution determination condition of the evaluation target action of the evaluation item of item number A1, “I am particular about preparing or keeping things clean”, the image captured when the cleanup is completed matches the reference image The degree is specified to be 80% or more. Specifically, the evaluation unit 110 determines whether or not the evaluation item of item number A1 corresponds to the execution of the evaluation target behavior as follows. That is, the evaluation unit 110 captures an image of a room (predetermined space) where an infant plays, taken by the sensor (image sensor) 101a at a time when the toy cleanup is expected to be completed after the infant has played with the toy. The image data is compared with the image data of the reference image. If the degree of coincidence between the two images is 80% or more, it is determined that the action is to be evaluated. If the degree of coincidence between the two images is less than 80%, the evaluation unit 110 determines that the evaluation target action does not fall under execution. The time when the toy cleanup is supposed to be completed may be set in advance by an infant guardian or the like, and it is the time when the infant is detected to have left the predetermined space by any sensor. Alternatively, it may be the reception time of the operation when a guardian or the like performs an operation via the input device of the information processing apparatus 100 when the infant finishes cleaning the toy. Any image comparison technique may be used for calculating the degree of coincidence between two images. The degree of coincidence between two images is obtained by, for example, extracting a feature amount (for example, a vector of a plurality of components) from each image and obtaining a difference between the feature amounts (for example, a Euclidean distance between the vectors). It can be calculated by converting to a higher value (that is, as the two images match). The image data of the reference image is image data of an image obtained by capturing an image of a predetermined space in a state where all toys are cleared (a state where no toys exist). The evaluation unit 110 holds image data of the reference image in advance.

  In the example of FIG. 4, from the time the clothes get wet until the start of undressing as the execution judgment condition of the evaluation target action of the evaluation item of item number A2, “I want to notice and want to change as soon as the clothes get wet” It is shown that the time is specified to be less than 5 minutes. Specifically, the evaluation unit 110 determines whether or not the evaluation item of item number A2 corresponds to the execution of the evaluation target action as follows. In other words, the evaluation unit 110 may take less than 5 minutes from the time at which the infant's clothes are assumed to be wet to the time at which the sensor (human sensor) 101b detects entry into the room with the closet. It is determined that it corresponds to the execution of the evaluation target action. If the time is 5 minutes or more, the evaluation unit 110 determines that the evaluation target action does not fall under execution. As for the time when the infant's clothes are assumed to be wet, the meal time or the like may be set in advance by the infant's guardian or the like, or the time when the infant's clothes are detected wet by any of the sensors Alternatively, when the guardian or the like performs an operation via the input device of the information processing apparatus 100 when the infant's clothes are wet, it may be the reception time of the operation.

  For each of a plurality of evaluation items, the evaluation unit 110 records a corresponding situation of execution of the evaluation target behavior corresponding to the evaluation item in a storage medium such as a memory or a hard disk as an evaluation target behavior record in association with the date and time. The status of execution of the evaluation target behavior (whether it is applicable) is determined based on the result (measurement result) of sequential sensing by the sensors (sensors 101a and 101b) as shown in FIG. Judgment is made based on whether or not the condition is satisfied.

  5A and 5B are diagrams illustrating an example of an evaluation target action record used by the evaluation unit 110. FIG. FIG. 5A shows an example of the item number A1 of the evaluation item, and FIG. 5B shows an example of the item number A2 of the evaluation item. For example, the example of FIG. 5A indicates that the degree of coincidence between the image captured by the sensor 101a and the reference image is 95% on September 1 and corresponds to the execution of the evaluation target action. Indicates that the degree of coincidence is 30%, which does not correspond to the execution of the evaluation target action. For example, in the example of FIG. 5B, on September 1, the time from the time when the clothes are supposed to get wet until the time when the sensor 101b detects the room entry is 3 minutes, and it corresponds to the execution of the action to be evaluated. Show. In addition, on September 2, the time is 10 minutes, which indicates that the evaluation target action is not executed.

  The evaluation unit 110 uses the evaluation target action record and the evaluation value table to evaluate each of a plurality of evaluation items based on the results (measurement results) of sequential sensing by the sensors (sensors 101a and 101b) in a predetermined period. An evaluation value is calculated according to the frequency at which the action that the item is to be evaluated (evaluation target action) is executed. The predetermined period is a certain period such as one week or one month. The evaluation unit 110 transmits the calculated evaluation value to the estimation unit 120 as an evaluation result.

  FIG. 6 is a diagram illustrating an example of an evaluation value table used by the evaluation unit 110 for calculating evaluation values. The evaluation value table is information in which the range of the execution frequency of the evaluation target action is associated with the evaluation value. In the example of FIG. 6, the evaluation value is −2 if the execution frequency is less than 5%, the evaluation value is −1 if the execution frequency is 5% or more and less than 30%, and the execution frequency is 30% or more and 70. If it is less than%, the evaluation value is 1, and if the execution frequency is 70% or more, the evaluation value is 2. In the example of FIG. 6, the evaluation value corresponds to the score value in the temperament questionnaire shown in FIG. That is, an evaluation value of −2 corresponds to “no”, an evaluation value of −1 corresponds to “almost no”, an evaluation value of 1 corresponds to “sometimes”, and an evaluation value of 2 Corresponds to “common”.

  The estimation unit 120 is realized by, for example, a communication I / F of the information processing apparatus 100, a memory, a processor that executes a temperament estimation processing program, and the like. The estimation unit 120 has a function of estimating the user's temperament based on the evaluation results for each of the plurality of evaluation items by the evaluation unit 110.

  The estimation unit 120 sums the evaluation values for the plurality of evaluation items calculated by the evaluation unit 110 for each target temperament, and uses the temperament tendency table to determine the temperament tendency for each target temperament such as nervousness, negative emotional reaction, etc. Is identified. As specific examples, item numbers A1, A2,..., An for nervousness, item numbers B1, B2,. The range of is defined. The estimation unit 120 specifies the temperament tendency according to the temperament tendency table according to the sum (sum) of the evaluation values for the evaluation items in the range of the item numbers for each target temperament. FIG. 7 is a diagram illustrating an example of a temperament tendency table. The temperament tendency table is compared with the total score entered in the total score column to determine whether the tendency of the infant's target temperament is high, medium or low using the temperament questionnaire shown in FIG. This is information corresponding to a reference threshold value. The temperament tendency table may be, for example, content corresponding to a reference threshold value related to an existing temperament question sheet, or may be changed (adjusted) so that the content becomes more appropriate. Specifically, the temperament tendency table is information in which, for each target temperament, the total range of evaluation values of the evaluation items related to the target temperament is associated with the temperament tendency. In the example of FIG. 7, the temperament tendency is represented in three stages of high, medium, and low. In the example of FIG. 7, if the sum of the evaluation values of the evaluation items for the nervousness is 10 or more, the tendency of the nervousness is high, and if the total is 0 or more and less than 10, the tendency of the nervousness is medium. If the sum is less than 0 (that is, a negative value), it indicates that the tendency of nervousness is low.

  The estimation unit 120 estimates the temperament by specifying the temperament tendency according to the above-described temperament tendency table, and can record the estimation result in a storage medium such as a memory or a hard disk.

  In the information processing apparatus 100, the estimation unit 120 generates presentation information indicating the temperament tendency specified for each target temperament using the temperament tendency table as a temperament estimation result, and sends the presentation information to the presentation unit 102. The presentation unit 102 that has received the presentation information presents the presentation information.

(Operation)
Hereinafter, an operation example of the temperament estimation system 10 having the above-described configuration will be described.

  FIG. 8 is a flowchart showing an example of the operation of the temperament estimation system 10. The operation of the temperament estimation system 10 will be described below with reference to FIG.

  In the temperament estimation system 10, a user's action is measured by sensing of a sensor (sensor 101a, 101b) (step S11).

  The evaluation unit 110 of the information processing apparatus 100 acquires the measurement result by the sensor, and based on the measurement result, whether or not the evaluation target behavior of each evaluation item is executed based on a predetermined evaluation method (corresponding to execution) (Step S12). The evaluation unit 110 records an evaluation target action record for a corresponding situation of execution of the evaluation target action as the determination result (step S13).

  The processes in steps S11 to S13 are repeated until a predetermined period (for example, a fixed period such as one week, one month, etc.) elapses (step S14). When the predetermined period has elapsed, the evaluation unit 110 evaluates each evaluation item by calculating an evaluation value according to the frequency of execution of the evaluation target behavior using the evaluation target behavior record and the evaluation value table. (Step S15). FIG. 9 shows an example of the result of the evaluation in step S15. In FIG. 9, since the frequency of the evaluation item of item number A1 is 85%, the evaluation value is calculated as 2 by the evaluation value table (see FIG. 6), and the frequency of the evaluation item of item number A2 is 60%. Therefore, an example in which the evaluation value is calculated as 1 is shown.

  Subsequently, the estimation unit 120 of the information processing device 100 calculates the total evaluation value for each target temperament based on the evaluation result for each evaluation item, and estimates the temperament by specifying the temperament tendency according to the temperament tendency table. (Step S16).

  Next, the information processing apparatus 100 sends the presentation information indicating the temperament estimated by the estimation unit 120 to the presentation unit 102, and the presentation unit 102 presents the presentation information indicating the estimated temperament (step S17). ). FIG. 10 shows an example of presentation information presented by the presentation unit 102. The presentation unit 102 displays a temperament estimation result 311 as presentation information on the display screen 310. The temperament estimation result 311 is a display element such as a character string representing the temperament tendency for each target temperament in three stages of high, medium, and low. In the example of FIG. 10, the six elements of the temperament characteristic, nervousness, adaptability, extroversion, regularity, attention transduction, and negative emotional reaction are used as the target temperament. By visually recognizing this presentation information, for example, a guardian of a user who is an infant or the like can know the user's temperament objectively estimated by the temperament estimation system 10.

(Other embodiments, etc.)
As described above, the temperament estimation system 10 has been described according to the first embodiment. However, the above-described embodiment is merely an example, and it is needless to say that various modifications, additions, omissions, and the like are possible.

  In the above-mentioned embodiment, although an infant, a child, etc. were illustrated as a user of the temperament estimation system 10, a user is not necessarily restricted to an infant, a child, etc. For example, an adult etc. may be sufficient.

  Moreover, in the above-mentioned embodiment, the example which determines whether evaluation object action was performed about each evaluation item, such as item number A1 and A2, was each based on the sensing result by one sensor. However, the above-described evaluation items, execution determination conditions for the evaluation target behavior, and the like are merely examples. For example, the execution determination condition for the evaluation target action related to one evaluation item may be a condition related to a combination of sensing results from a plurality of sensors. Moreover, you may evaluate several evaluation items from the sensing result by one sensor.

  Further, in the above-described embodiment, as execution determination conditions for the evaluation target action for the evaluation item of item number A1, image data of a room (predetermined space) captured by the sensor 101a and used for reference The conditions for comparison of image with image data are presented. The image data of the reference image is image data of an image obtained by previously capturing a predetermined space in a state in which all toys are cleared, and the degree of coincidence of both images is 80% or more in the image comparison. If it is, it will be determined that it corresponds to execution of evaluation object action. However, the reference image may be, for example, an image generated by imaging a predetermined space (a space including a floor where toys are scattered) in a state before an infant plays with toys and starts cleaning up with the sensor 101a. . In this case, for example, if the degree of coincidence between the image captured at the end of the time for tidying up and the reference image is less than 20%, it may be determined that the action is to be evaluated. Good. In addition, when the behavior to be evaluated is an organized storage behavior related to the storage of a plurality of articles, the predetermined space to be imaged by the sensor 101a may include a place where the plurality of articles are to be stored. For example, when the storage location of each toy is determined in advance, the sensor 101a may pick up a plurality of images while distinguishing the individual storage locations. In this case, it is determined whether or not the toy has been put away according to whether or not the toy is reflected in each image corresponding to each storage location, and according to the number, whether or not it corresponds to the execution of the evaluation target action. It may be determined. The evaluation unit 110 may determine how to correspond to the execution of the evaluation target behavior based on the sensing result (measurement result).

  Moreover, although the example which prescribed | regulated the content which differs for every target temperament (temperament characteristic) was shown as the temperament tendency table shown in the above-mentioned embodiment, you may prescribe | regulate the common content about all the target temperament.

  Moreover, in the above-mentioned embodiment, the evaluation part 110 showed the example which calculates an evaluation value based on the frequency with which the evaluation object action concerning each evaluation item was performed. However, the evaluation unit 110 may perform the evaluation by calculating an evaluation value corresponding to the degree of coincidence between the measurement result by the sensor and the predetermined criterion when the behavior that is an evaluation target of each evaluation item is executed. For example, the degree of coincidence with an image obtained by imaging the toy storage location with the image sensor 101a using the image in which the toy is correctly stored in the toy storage location (or the average of the coincidence at multiple dates and times) The evaluation value may be calculated according to (value). More specifically, for example, if the degree of coincidence is 80% or more, the evaluation value may be 2, and if the degree of coincidence is 50% or more and less than 80%, the evaluation value may be 1.

  Further, in the above-described embodiment, an example in which a plurality of evaluation items evaluated by the evaluation unit 110 corresponds to a plurality of existing question items in the questionnaire method is shown, but it does not necessarily correspond to an existing question item. May be. However, if an existing question item is used, it may be possible to efficiently realize a temperament estimation system. The plurality of evaluation items evaluated by the evaluation unit 110 may relate to only one target air quality (for example, nervousness). In this case, according to the sum of the evaluation values calculated by the evaluation unit 110, the estimation unit 120 specifies the high tendency of having the one target temperament (temperament characteristic), thereby estimating the temperament of the user. Can be done.

  Moreover, in the above-mentioned embodiment, the temperament estimation system 10 showed the example comprised by the apparatuses mainly installed in the house. However, the temperament estimation system 10 may or may not include devices installed in the house, may be configured to include devices installed outside the house, and is a portable device. It may be configured to include. Moreover, in the above-mentioned embodiment, the example which the presentation part 102 was a presentation apparatus provided with the display etc. was shown. The presenting unit 102 may be any device that can present information so that it can be recognized by humans either visually or auditorily, and may be a projector, a television receiver, a tablet, or the like. An audio playback device or the like provided with a speaker or the like that outputs audio may be used.

  Further, another device may share a part of the function of the information processing device 100 in the temperament estimation system 10 shown in the above-described embodiment. The other device may be a computer installed remotely from the information processing device 100, such as a server outside the house. The execution order of the operation procedure (see FIG. 8) of the temperament estimation system 10 is not necessarily limited to the order as described above, and the execution order may be changed without departing from the gist of the invention. Some of them can be omitted. In addition, the temperament estimation process including all or part of the procedure shown in FIG. 8 (for example, steps S12, S13, S15, and S16) may be implemented by hardware of the information processing apparatus 100 or other apparatus. It may be realized using. Note that the processing by software is realized by a processor included in the information processing apparatus 100 or another apparatus executing a temperament estimation processing program stored in a memory. Further, the temperament estimation processing program may be recorded on a recording medium and distributed or distributed. For example, by installing the distributed temperament estimation processing program in the apparatus and causing the processor of the apparatus to execute the program, it is possible to cause the apparatus to perform all or part of the temperament estimation processing.

  In addition, embodiments realized by arbitrarily combining the constituent elements and functions shown in the above-described embodiments and modifications are also included in the scope of the present invention.

  Note that various general or specific aspects of the present invention include one or a plurality of combinations of an apparatus, a system, a method, an integrated circuit, a computer program, a computer-readable recording medium, and the like.

  Hereinafter, a configuration, a modification mode, an effect, and the like of a temperament estimation system according to one aspect of the present invention and a temperament estimation method and a temperament estimation processing program used in the temperament estimation system will be described.

  (1) A temperament estimation system according to an aspect of the present invention is a temperament estimation system 10 that estimates a user's temperament, and includes one or more sensors (for example, a sensor 101a) that perform sequential measurement in relation to the user's behavior. 101b) and an evaluation unit 110 that evaluates each of a plurality of evaluation items related to the user's behavior based on a measurement result by one or a plurality of sensors, and an evaluation result of each of the plurality of evaluation items by the evaluation unit 110 And an estimation unit 120 for estimating the user's temperament based on the estimation unit 120.

  With this configuration, the user's temperament can be appropriately estimated without being affected by the subjectivity of the user or the person concerned with the user.

  (2) For example, each of the plurality of evaluation items may be the same as each of the plurality of question items according to the questionnaire method used for determining the temperament. The plurality of question items according to the questionnaire method used for determining the temperament may be a set of any existing question items.

  Thereby, since the question item by the existing questionnaire method is utilized, the system which estimates a temperament appropriately can be implement | achieved efficiently.

  (3) For example, a plurality of evaluation items are items for which different actions are evaluated, and the evaluation unit 110 evaluates each of the plurality of evaluation items based on the result of sequential measurement by a sensor in a predetermined period. The evaluation unit 120 performs evaluation by calculating an evaluation value corresponding to the frequency at which the action to be evaluated is executed, and the estimation unit 120 performs user evaluation based on the evaluation value calculated by the evaluation unit 110 for each of a plurality of evaluation items. It is good also as estimating a temperament. The temperament estimated by the estimation unit 120 based on the evaluation value is a tendency (for example, whether the tendency of the temperament characteristic is high or low) of one of the categorized characteristics such as nervousness. May be.

  Thereby, a user's temperament can be objectively estimated according to the execution frequency of the action of evaluation object.

  (4) For example, the one or more sensors include an image sensor 101a that generates an image by capturing a predetermined space when the user performs an action, and the evaluation unit 110 includes one evaluation item among the plurality of evaluation items. Whether the action that the evaluation item is to be evaluated is executed based on whether the degree of coincidence between the image generated by the image sensor 101a and the predetermined image (reference image) is higher than a predetermined threshold (for example, 80%). Evaluation may be performed by determining whether or not.

  As a result, it is determined whether or not the user has performed the action to be evaluated by imaging without being influenced by the subjectivity of the user or the person concerned. For this reason, a user's temperament can be estimated appropriately.

  (5) For example, the action to be evaluated for one evaluation item among a plurality of evaluation items is a sorting and storing action related to the storage of a plurality of articles, and the predetermined space is a place where a plurality of articles are to be stored. It may be included.

  Accordingly, it may be possible to estimate a nervous tendency, which is a main element of temperament, based on a sensing result related to the user's organizing and storing behavior, for example.

  (6) For example, a plurality of evaluation items are items with different behaviors as evaluation targets, and the evaluation unit 110 performs the evaluation for each of the plurality of evaluation items when the behavior that is the evaluation target is executed. Evaluation is performed by calculating an evaluation value according to the degree of coincidence between the measurement result of the sensor (for example, the sensor 101a) and a predetermined reference (predetermined reference for comparison), and the estimation unit 120 includes a plurality of evaluation items. The temperament of the user may be estimated based on the evaluation value calculated by the evaluation unit 110.

  Thereby, based on the degree of coincidence between the measurement result and the reference, the temperament can be estimated without being influenced by the subjectivity of the user or the person concerned.

  (7) For example, the plurality of evaluation items relate to specific temperament characteristics, and the estimation unit 120 allows the user to specify specific temperament characteristics according to the sum of the evaluation values calculated by the evaluation unit 110 for each of the plurality of evaluation items. It is good also as estimating a user's temperament by specifying the height of the tendency to have.

  Thereby, the user's temperament regarding a specific temperament characteristic, such as nervousness, can be estimated without being influenced by the subjectivity of the user or the person concerned.

  (8) For example, the temperament estimation system 10 may further include a presentation unit 102 that presents presentation information indicating the temperament estimated by the estimation unit 120.

  Thereby, a user or a person concerned with the user can know the temperament of the user estimated in the temperament estimation system 10 by confirming the information for presentation.

  (9) A temperament estimation method according to an aspect of the present invention is a temperament estimation method for estimating a user's temperament, and relates to a user's behavior using one or more sensors (for example, sensors 101a and 101b). A measurement step for performing sequential measurement (for example, step S11), an evaluation step for evaluating each of a plurality of evaluation items related to the user's behavior based on the measurement result in the measurement step (for example, steps S12, S13, S15), An estimation step (e.g., step S <b> 16) that estimates the user's temperament based on the evaluation results for each of the plurality of evaluation items in the evaluation step, and a presentation step (e.g., that presents presentation information indicating the temperament estimated in the estimation step) Step S17).

  Thereby, a user's temperament can be estimated based on the measurement result in a sensor, without receiving the influence of the subjectivity of a user or a user's person concerned.

  (10) A temperament estimation processing program according to one aspect of the present invention is a temperament estimation processing program for causing a computer to execute a temperament estimation process for estimating a user's temperament, wherein the temperament estimation process is related to a user's behavior. An evaluation step (e.g., steps S12, S13, and S15) for evaluating each of a plurality of evaluation items related to the user's behavior based on the result of sequential measurement performed by one or a plurality of sensors (e.g., the sensors 101a and 101b). And an estimation step (for example, step S16) for estimating the user's temperament based on the evaluation results for each of the plurality of evaluation items in the evaluation step.

  If this temperament estimation processing program is installed in the information processing apparatus 100 that is a computer including a microprocessor, the information processing apparatus 100 executes a temperament estimation process, and for example, presenting information indicating an estimation result by the information processing apparatus 100 is displayed. Presented by the presentation unit 102. A user or a person concerned with the user can know the temperament of the user estimated by the information processing apparatus 100 by confirming the presentation information.

DESCRIPTION OF SYMBOLS 10 Temperament estimation system 101a, 101b Sensor 102 Presentation part 110 Evaluation part 120 Estimation part

Claims (10)

A temperament estimation system that estimates a user's temperament,
One or more sensors that perform sequential measurements in relation to user behavior;
An evaluation unit that evaluates each of a plurality of evaluation items related to the user's behavior based on a result of measurement by the one or more sensors;
A temperament estimation system comprising: an estimation unit that estimates the temperament of the user based on an evaluation result of each of the plurality of evaluation items by the evaluation unit. The temperament estimation system according to claim 1, wherein each of the plurality of evaluation items is the same as each of a plurality of question items according to a questionnaire method used for determination of a temperament. The plurality of evaluation items are items with different behaviors as evaluation targets,
The evaluation unit calculates, for each of the plurality of evaluation items, an evaluation value corresponding to the frequency of execution of the action to be evaluated by the evaluation item based on the result of sequential measurement by the sensor in a predetermined period. Perform the evaluation,
The temperament estimation system according to claim 1, wherein the estimation unit estimates the temperament of the user based on an evaluation value calculated by the evaluation unit for each of the plurality of evaluation items. The one or more sensors include an image sensor that generates an image by imaging a predetermined space when the user performs an action,
The evaluation unit sets the evaluation item as an evaluation target for one evaluation item among the plurality of evaluation items depending on whether or not the degree of coincidence between the image generated by the image sensor and the predetermined image is higher than a predetermined threshold value. The temperament estimation system according to claim 3, wherein the evaluation is performed by determining whether or not an action has been executed. The action of the evaluation target for one evaluation item among the plurality of evaluation items is an organized storage action related to storage of a plurality of articles,
The temperament estimation system according to claim 4, wherein the predetermined space includes a place where the plurality of articles are to be stored. The plurality of evaluation items are items with different behaviors as evaluation targets,
The evaluation unit calculates, for each of the plurality of evaluation items, an evaluation value according to a degree of coincidence between a measurement result by the sensor and a predetermined criterion when an action to be evaluated by the evaluation item is executed. And make the above evaluation,
The temperament estimation system according to claim 1, wherein the estimation unit estimates the temperament of the user based on an evaluation value calculated by the evaluation unit for each of the plurality of evaluation items. The plurality of evaluation items are related to specific temperament characteristics,
The estimation unit identifies the height of the user's tendency to have the specific temperament characteristic according to the sum of the evaluation values calculated by the evaluation unit for each of the plurality of evaluation items, whereby the user's The temperament estimation system according to any one of claims 3 to 6, wherein the temperament is estimated. The temperament estimation system according to any one of claims 1 to 7, further comprising a presentation unit that presents presentation information indicating the temperament estimated by the estimation unit. A temperament estimation method for estimating a user's temperament,
A measurement step for performing sequential measurements in relation to user behavior using one or more sensors;
An evaluation step for evaluating each of a plurality of evaluation items related to the user's behavior based on the measurement result in the measurement step;
An estimation step for estimating the temperament of the user based on an evaluation result for each of the plurality of evaluation items in the evaluation step;
A presentation step of presenting presentation information indicating the temperament estimated in the estimation step. A temperament estimation processing program for causing a computer to execute a temperament estimation process for estimating a user's temperament,
The temperament estimation process includes
An evaluation step for evaluating each of a plurality of evaluation items related to the user's behavior based on the result of sequential measurement performed by one or more sensors in relation to the user's behavior;
An estimation step of estimating the temperament of the user based on an evaluation result for each of the plurality of evaluation items in the evaluation step.

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