JP6765073B2 - Temperament estimation system, temperament estimation method and temperament estimation processing program - Google Patents

Description

The present invention relates to a temperament estimation system that estimates a person's temperament, and a temperament estimation method and a temperament estimation processing program used in this temperament estimation system.

Conventionally, a temperament questionnaire used for determining the temperament of an infant by the questionnaire method is known (see Non-Patent Document 1). Further, an answer recording device for the questionnaire method is known (see Patent Document 1).

Japanese Unexamined Patent Publication No. 2000-3351

Yuko Takei, 2 outsiders, "Attempt to Create Infant Temperament Questionnaire", Personality Research, Japan Society of Personality Psychology, 2007, Vol. 16, No. 1, p. 80-91

When the guardian, educator, etc. of the infant answers the temperament questionnaire for judging the temperament of the infant, the temperament cannot be accurately determined due to the subjectivity (belief) of the guardian, etc. for the infant. there is a possibility. Further, according to the conventional answer recording device, although it is possible to increase the amount of information about the answer to some extent, 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 influenced by the subjectivity of the user or the user's related persons (guardians, etc.). 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, the temperament estimation system according to one aspect of the present invention is a temperament estimation system that estimates the user's temperament, and includes one or a plurality of sensors that sequentially measure in relation to the user's behavior. Based on the evaluation results of each of the plurality of evaluation items related to the user's behavior based on the measurement results of the one or more sensors, and the evaluation results of each of the plurality of evaluation items by the evaluation unit. It includes an estimation unit that estimates the temperament of the user.

Further, the temperament estimation method according to one aspect of the present invention for achieving the above object is a temperament estimation method for estimating the temperament of the user, and is related to the behavior of the user by using one or a plurality of sensors. A measurement step for performing sequential measurement, an evaluation step for evaluating each of a plurality of evaluation items related to the user's behavior based on the measurement results in the measurement step, and each of the plurality of evaluation items in the evaluation step. It includes an estimation step of estimating the temperament of the user based on the evaluation result, and a presentation step of presenting presentation information indicating the temperament estimated in the estimation step.

Further, the temperament estimation processing program according to one aspect of the present invention for achieving the above object is a temperament estimation processing program for causing a computer to execute a temperament estimation process for estimating a user's temperament, and the temperament estimation process. Is an evaluation step for evaluating each of a plurality of evaluation items related to the user's behavior based on the results of sequential measurements performed by one or a plurality of sensors in relation to the user's behavior, and the above-mentioned evaluation step. It includes 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 or 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 person concerned with the user.

It is a schematic block diagram of the temperament estimation system which concerns on Embodiment 1. FIG. It is a figure which shows an example of the image imaged by the image pickup part of the temperament estimation system. It is a figure which shows an example of the temperament questionnaire. It is a figure which illustrated the outline of the evaluation method used in the evaluation part of the temperament estimation system. It is a figure which shows an example of the evaluation target action record (the item number A1 of the evaluation item) used by the evaluation part. It is a figure which shows an example of the evaluation target action record (item No. A2 of the evaluation item) used by the evaluation department. 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 the operation of the temperament estimation system. It is a figure which shows an example of the evaluation result by the evaluation department. It is a figure which shows the presentation example of the presentation information by the presentation part of the 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. Therefore, the numerical values, shapes, materials, components, arrangement and connection forms of the components, steps (processes), order of steps, etc. shown in the following embodiments are examples and limit the present invention. is not. Among the components in the following embodiments, the components not described in the independent claims are components that can be arbitrarily added. Further, each figure is a schematic view and is not necessarily exactly illustrated.

Hereinafter, the temperament estimation system according to the 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, a child, etc. by sensing the behavior of the user. Temperament is generally an individual human-specific property that is the source of personality and influences behavioral decisions. The temperament does not change in a short period of several tens of days or less. Here, the temperament estimation system 10 will be described with reference to 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 device 100 installed in the house 20, a sensor 101a, a sensor 101b, and a presentation unit 102. The information processing device 100 and the presentation unit 102 may be integrally mounted in one housing, or may be mounted in devices separated from each other.

The sensor 101a and the sensor 101b are examples of a plurality of sensors used in the temperament estimation system 10, and although two sensors are shown here for convenience of explanation, three or more sensors may be installed. As the sensor 101a and the sensor 101b, various sensors that can measure human behavior can be used. Various sensors include an image sensor (camera), a sound sensor (microphone), a vibration sensor, a motion sensor, and the like. As an example, the sensor 101a is an image sensor capable of communicating with the information processing device 100, and will be described as assuming that an image (image data) is generated by imaging and the image is transmitted to the information processing device 100. The sensor 101a is installed at a position where an image can be taken in a predetermined space, which is a room in which an infant in the house 20 can play with a toy. Further, as an example, the sensor 101b will be described as being a sensor that can be used to detect when an infant changes clothes. As a specific example, the sensor 101b is a motion sensor that can detect entry into a room having a closet for storing infant clothing.

FIG. 2 shows an example of an image generated by the sensor (image sensor) 101a when the cleaning up is completed (at the end of the cleaning up time zone) after the infant has played with the toy. The image 210 shown in FIG. 2 is an image taken in a state where toys (building blocks) 210a to 210e are scattered (scattered state) on the floor of a predetermined space. This image is sent to the information processing device 100, and is used in the information processing device 100 to determine, for example, whether or not the infant has executed the 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 presentation information indicating the estimation result of the temperament of the infant.

The information processing device 100 evaluates each of a plurality of evaluation items based on the measurement results 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 results. It is a computer with functions. The evaluation item relates to the behavior of the user as the evaluation target (evaluation target behavior). The evaluation items correspond to the question items in the temperament questionnaire used for determining the temperament of infants by the questionnaire method, and can be the same as the question items in an existing temperament questionnaire. FIG. 3 shows an example of a temperament questionnaire. As shown in the figure, the temperament questionnaire is a paper in 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 parents of infants, responded to each question item according to the category of frequency of occurrence of the event indicated in the question item (common, occasional, rare, or none). Enter the predetermined score in the score column. Respondents calculate the total score entered for each target temperament and enter it in the total score column. The temperament questionnaire compares the total score entered in the total score column with a predetermined reference threshold (not shown) to determine whether the infant's target temperament tends to be high, medium, or low. It can be judged. In the determination of temperament by the questionnaire method using such a temperament questionnaire, the judgment result may depend on the subjectivity of the respondent (guardian of the infant, etc.), whereas in the information processing apparatus 100, the guardian of the infant, etc. The temperament of an infant is objectively estimated based on the sensing result without being influenced by the subjectivity of. The temperament of an infant is estimated by estimating the tendency of each target temperament.

The information processing device 100 includes a communication interface (I / F), a memory, a processor (microprocessor), and the like. The communication I / F is a communication circuit or the like for wireless communication or wired communication. The information processing device 100 can communicate with, for example, the sensors 101a and 101b and the presenting unit 102 by the communication I / F. The memory is a ROM that holds the program and data in advance, a RAM that is used for storing data or the like when the program is executed, and may include, for example, a non-volatile memory. The information processing device 100 may include a storage medium such as a hard disk in addition to the memory. The processor controls the communication I / F and the like by executing a program (temperament estimation processing program for temperament estimation processing) stored in the memory to perform various processes. The information processing device 100 may have an input device (keyboard, touch panel, voice input device, etc.) as a user interface for accepting operations by a guardian of an infant or the like. Further, the information processing device 100 communicates with an information terminal (smartphone, tablet, etc. carried by a guardian of an infant) using a communication I / F, so that the information terminal is used as an input device and a presentation unit of the information processing device 100. It may be used as 102.

In order to realize the function of evaluating the user's evaluation target behavior and estimating the temperament based on the measurement results of the sensors 101a and 101b, the information processing device 100 has the evaluation unit 110, as shown in FIG. It also includes an estimation unit 120.

The evaluation unit 110 is realized by, for example, a communication I / F of the information processing device 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.

The evaluation of the evaluation items by the evaluation unit 110 will be described with reference to FIGS. 4 to 6. FIG. 4 is a diagram illustrating an outline of an evaluation method (evaluation algorithm) used by the evaluation unit 110. In this evaluation method, execution judgment conditions for the evaluation target behavior are defined for each of a plurality of evaluation items that define different evaluation target behaviors. For convenience of explanation, the same item numbers are assigned to the question items and the corresponding evaluation items in the temperament questionnaire shown in FIG. Execution of the evaluation target action When the judgment condition is satisfied, it is determined that the evaluation target action has been executed. The fact that the evaluation target behavior is executed is also referred to as corresponding to the execution of the evaluation target behavior, and the fact that the evaluation target behavior is not executed is also referred to as not corresponding to the execution of the evaluation target behavior.

In the example of FIG. 4, the image captured at the completion of cleaning and the reference image match as the execution judgment condition of the evaluation target action of the evaluation item "stick to preparing and keeping things clean" in item No. A1. It indicates that the degree is specified to be 80% or more. Specifically, the evaluation unit 110 determines whether or not the evaluation item of item No. A1 corresponds to the execution of the evaluation target action as follows. That is, the evaluation unit 110 captures an image of the room (predetermined space) in which the infant plays, which is captured by the sensor (image sensor) 101a at a time when the toy is expected to be cleaned up after the infant has played with the toy. The image data is compared with the image data of the reference image, and if the degree of coincidence between the two images is 80% or more, it is determined that the action to be evaluated is executed. If the degree of coincidence between the two images is less than 80%, the evaluation unit 110 determines that the action to be evaluated does not correspond to the execution. The time when the toy is expected to be cleaned up may be set in advance by the guardian of the infant, or it is assumed that the time when the infant is detected to have left the predetermined space by any of the sensors. Alternatively, it may be the reception time of the operation when the guardian or the like performs the operation via the input device of the information processing device 100 when the infant finishes cleaning up the toys. In addition, any image comparison technique may be used to calculate the degree of coincidence between the two images. The degree of coincidence between the two images is, for example, the feature amount (for example, a vector of multiple components) is extracted from each image, the difference between the feature amounts (for example, the Euclidean distance between the vectors) is obtained, and the smaller the difference is, the more It can be calculated by converting so that the value becomes higher (that is, the more the two images match). The image data of the reference image is image data of an image obtained by preliminarily capturing a predetermined space in a state where all the toys are put away (a state in which no toys exist). The evaluation unit 110 holds the image data of the reference image in advance.

In addition, in the example of FIG. 4, from the time when the clothes get wet to the start of undressing, as the execution judgment condition of the evaluation target action of the evaluation item "I immediately notice when the clothes get wet and want to have them changed" in item No. A2. Indicates 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 No. A2 corresponds to the execution of the evaluation target action as follows. That is, the evaluation unit 110 may take less than 5 minutes from the time when the infant's clothes are assumed to get wet to the time when the sensor (presence sensor) 101b detects the entry into the room with the closet. If it is judged that it corresponds to the execution of the action to be evaluated. If the time is 5 minutes or more, the evaluation unit 110 determines that the action to be evaluated does not correspond to the execution. The time at which the infant's clothes are assumed to be wet may be set in advance by the infant's guardian or the like, or the time when the infant's clothes are detected to be wet by any of the sensors. This may be the time when the guardian or the like performs an operation via the input device of the information processing device 100 when the clothes of the infant get wet.

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

5A and 5B are diagrams showing an example of an evaluation target behavior record used by the evaluation unit 110. FIG. 5A shows an example of item number A1 of the evaluation item, and FIG. 5B shows an example of item number A2 of the evaluation item. For example, the example of FIG. 5A shows that the degree of coincidence between the image captured by the sensor 101a and the reference image was 95% on September 1, indicating that the action to be evaluated was executed, and on September 2. The degree of agreement was 30%, indicating that it did not correspond to the execution of the evaluated 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 to the time when the sensor 101b detects entering the room is 3 minutes, which corresponds to the execution of the action to be evaluated. Shown. In addition, on September 2, the time was 10 minutes, indicating that the action to be evaluated was not executed.

The evaluation unit 110 evaluates each of the plurality of evaluation items based on the results (measurement results) of sequential sensing by the sensors (sensors 101a and 101b) in a predetermined period using the evaluation target action record and the evaluation value table. Calculate the evaluation value according to the frequency of execution of the action (evaluation target action) for which the item is evaluated. The predetermined period is a fixed period such as one week or one month. The evaluation unit 110 transmits the calculated evaluation value as an evaluation result to the estimation unit 120.

FIG. 6 is a diagram showing an example of an evaluation value table used by the evaluation unit 110 to calculate the evaluation value. The evaluation value table is information in which the range of execution frequency of the action to be evaluated is associated with the evaluation value. In the example of FIG. 6, if the execution frequency is less than 5%, the evaluation value is -2, if the execution frequency is 5% or more and less than 30%, the evaluation value is -1, 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, the evaluation value of -2 corresponds to "nothing at all", the evaluation value of -1 corresponds to "almost no", the evaluation value of 1 corresponds to "occasionally", and the evaluation value of 2. Corresponds to "common".

The estimation unit 120 is realized by, for example, a communication I / F of the information processing device 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 of each of the plurality of evaluation items by the evaluation unit 110.

The estimation unit 120 sums the evaluation values for a plurality of evaluation items calculated by the evaluation unit 110 for each target temperament, and uses the temperament tendency table to prepare the temperament tendency for each target temperament such as nervousness and negative emotional reaction. To identify. As a specific example, item numbers A1, A2, ..., An for nervousness, item numbers B1, B2, ..., Bn for negative emotional reactions, etc., are defined for each target temperament. The range of is defined. The estimation unit 120 identifies the temperament tendency according to the temperament tendency table according to the total (sum) of the evaluation values for the evaluation items in the range of the item number for each target temperament. FIG. 7 is a diagram showing 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 infant's target temperament tendency is high, medium, or low, using the temperament questionnaire shown in FIG. This is information corresponding to the reference threshold value and the like. The temperament tendency table may, for example, have contents corresponding to a reference threshold value or the like related to an existing temperament questionnaire, or may be changed (adjusted) so as to be more appropriate. Specifically, the temperament tendency table is information in which the range of the total evaluation value of the evaluation items related to the target temperament and the temperament tendency are associated with each target temperament. In the example of FIG. 7, the temperament tendency is represented by three stages of high, medium, and low. In the example of FIG. 7, if the total evaluation value of the evaluation items for nervousness is 10 or more, the tendency of nervousness is high, and if the total is 0 or more and less than 10, the tendency of nervousness is medium. If the sum is less than 0 (ie, a negative value), it indicates that the tendency to be nervous is low.

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

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

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

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

The temperament estimation system 10 measures the user's behavior by sensing the sensors (sensors 101a and 101b) (step S11).

The evaluation unit 110 of the information processing device 100 acquires the measurement result by the sensor, and based on the measurement result, whether or not the evaluation target action of each evaluation item is executed based on a predetermined evaluation method (corresponding to the execution). Whether or not) is determined (step S12). The evaluation unit 110 records the evaluation target action record regarding the corresponding status of the execution of the evaluation target action as the determination result (step S13).

The processing in steps S11 to S13 is repeated until a predetermined period (for example, a fixed period such as one week or one month) elapses (step S14). When the predetermined period has passed, the evaluation unit 110 evaluates each evaluation item by calculating the evaluation value according to the frequency of execution of the evaluation target action using the evaluation target action record and the evaluation value table. (Step S15). FIG. 9 shows an example of the evaluation result 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 apparatus 100 calculates the total evaluation value for each target temperament based on the evaluation results 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 device 100 sends out 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 of presentation information by the presentation unit 102. The presentation unit 102 displays the 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 temperament characteristics, nervousness, adaptability, extroversion, regularity, attention diversion, and negative emotional response are used as the target temperament. By visually recognizing this presentation information, for example, a guardian of a user such as an infant can know the temperament of the user objectively estimated by the temperament estimation system 10.

(Other embodiments, etc.)
Although the temperament estimation system 10 has been described above according to the first embodiment, it goes without saying that the above-described embodiment is only an example, and various changes, additions, omissions, etc. are possible.

In the above-described embodiment, infants, children and the like are exemplified as users of the temperament estimation system 10, but the users are not necessarily limited to infants, children and the like, and may be adults and the like.

Further, in the above-described embodiment, an example is shown in which it is determined based on the sensing result by one sensor whether or not the evaluation target action is executed for each evaluation item such as item numbers A1 and A2. However, the above-mentioned evaluation items, execution judgment conditions of the behavior to be evaluated, and the like are only examples. For example, the execution determination condition of the evaluation target action related to one evaluation item may be a condition related to a combination of sensing results by a plurality of sensors. Further, a plurality of evaluation items may be evaluated from the sensing result by one sensor.

Further, in the above-described embodiment, as the execution determination condition of the evaluation target action for the evaluation item of item No. A1, the image data of the image of the room (predetermined space) in which the infant plays, which is captured by the sensor 101a, and for reference. The conditions for comparing the image with the image data are shown. Then, the image data of the reference image is the image data of the image obtained by preliminarily capturing a predetermined space in a state where all the toys are put away, and the degree of matching between the two images is 80% or more in the image comparison. If so, it was decided that it corresponds to the execution of the action to be evaluated. However, the reference image may be, for example, an image generated by capturing a predetermined space (a space including the floor where the toys are scattered) in a state before the infant plays with the toy 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 tidying up time zone and the reference image thereof is less than 20%, it may be determined that the action to be evaluated is executed. Good. Further, when the action to be evaluated is an organized storage action 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 should be stored. For example, when the storage location of each toy is predetermined, the sensor 101a may capture a plurality of images by distinguishing the individual storage locations. In this case, it is determined how many toys have been put away based on whether or not the toys are shown in each image corresponding to each storage location, and whether or not the action to be evaluated corresponds to the execution according to the number of toys. It may be determined. The evaluation unit 110 may determine how to execute the evaluation target action based on the sensing result (measurement result).

Further, although an example in which different contents are specified for each target temperament (temperament characteristic) is shown as the temperament tendency table shown in the above-described embodiment, common contents may be specified for all the target temperaments.

Further, in the above-described embodiment, an example is shown in which the evaluation unit 110 calculates the evaluation value based on the frequency at which the evaluation target action related to each evaluation item is executed. However, the evaluation unit 110 may evaluate by calculating an evaluation value according to the degree of agreement between the measurement result by the sensor and the predetermined standard when the action for which each evaluation item is to be evaluated is executed. For example, using an image in which the toy is correctly stored in the toy storage location as a predetermined reference, the degree of matching with the image obtained by imaging the toy storage location with the image sensor 101a (or the average degree of matching at a plurality of dates and times). The evaluation value may be calculated according to the value). More specifically, for example, if the degree of agreement is 80% or more, the evaluation value may be set to 2, and if the degree of agreement is 50% or more and less than 80%, the evaluation value may be set to 1.

Further, in the above-described embodiment, an example is shown in which the plurality of evaluation items evaluated by the evaluation unit 110 correspond to the existing plurality of question items in the questionnaire method, but they do not necessarily correspond to the existing question items. You may. However, it may be possible to efficiently realize a temperament estimation system by utilizing existing question items. The plurality of evaluation items evaluated by the evaluation unit 110 may relate to only one target temperament (for example, nervousness). In this case, the user's temperament is estimated by specifying the height of the tendency that the estimation unit 120 has one target temperament (temperament characteristic) according to the sum of the evaluation values calculated by the evaluation unit 110. Can be done.

Further, in the above-described embodiment, an example is shown in which the temperament estimation system 10 is mainly composed of devices installed in a house. However, the temperament estimation system 10 may or may not include the devices installed in the house, may be configured to include the devices installed outside the house, and may be a portable device. It may be composed including the above. Further, in the above-described embodiment, an example is shown in which the presentation unit 102 is a presentation device including, for example, a display. The presenting unit 102 may be a device capable of presenting information so as to be recognized by humans by sight, hearing, or the like, and may be a projector, a television receiver, a tablet, or the like, and presents information for presentation. It may be an audio reproduction device or the like including a speaker or the like that outputs audio.

In addition, another device may share a part of the functions 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 at a remote location with respect to the information processing device 100, such as a server outside the house. Further, the execution order of the operation procedure (see FIG. 8) of the above-mentioned 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. Further, even if the temperament estimation process including all or part of the procedure shown in FIG. 8 (for example, steps S12, S13, S15, S16) is realized by the hardware of the information processing device 100 or another device, the software It may be realized by using. The processing by the software is realized by the processor included in the information processing apparatus 100 or another apparatus executing the temper estimation processing program stored in the 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 it, it is possible to make the apparatus perform all or part of the temperament estimation processing.

Further, the scope of the present invention also includes a form realized by arbitrarily combining the components and functions shown in the above-described embodiments and modifications.

In addition, various comprehensive or specific aspects of the present invention include one or more combinations of devices, systems, methods, integrated circuits, computer programs, computer-readable recording media, and the like.

Hereinafter, the structure, modification, effect, etc. of the temperament estimation system according to one aspect of the present invention, the temperament estimation method and the temperament estimation processing program used in this temperament estimation system will be described.

(1) The temperament estimation system according to one aspect of the present invention is the temperament estimation system 10 that estimates the user's temperament, and is one or a plurality of sensors (for example, sensor 101a) that sequentially measure in relation to the user's behavior. , 101b), the evaluation unit 110 that evaluates each of the plurality of evaluation items related to the user's behavior based on the results of measurement by one or more sensors, and the evaluation results for each of the plurality of evaluation items by the evaluation unit 110. It is provided with an estimation unit 120 that estimates the user's temperament based on the above.

With this configuration, the user's temperament can be appropriately estimated without being influenced by the subjectivity of the user or the user's related parties.

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

As a result, since the question items by the existing questionnaire method are utilized, a system for appropriately estimating the temperament can be efficiently realized.

(3) For example, a plurality of evaluation items are items for which different behaviors are evaluated, and the evaluation unit 110 evaluates each of the plurality of evaluation items based on the results of sequential measurement by a sensor in a predetermined period. Evaluates by calculating the evaluation value according to the frequency of execution of the action to be evaluated, and the estimation unit 120 evaluates the user based on the evaluation value calculated by the evaluation unit 110 for each of the plurality of evaluation items. You may estimate the temperament. The temperament estimated by the estimation unit 120 based on the evaluation value is a tendency (whether the tendency of the temperament characteristic is high or low, etc.) of one of several classifications such as nervousness. You may.

As a result, the user's temperament can be objectively estimated according to the execution frequency of the action to be evaluated.

(4) For example, one or a plurality of sensors include an image sensor 101a that generates an image by taking an image of a predetermined space when the user acts, and the evaluation unit 110 includes one evaluation item out of the plurality of evaluation items. Whether or not the action for which the evaluation item is evaluated is executed depending on whether or not the degree of coincidence between the image generated by the image sensor 101a and the predetermined image (reference image) is higher than the predetermined threshold value (for example, 80%). The evaluation may be performed by determining whether or not it is present.

As a result, it is determined whether or not the user has executed the action to be evaluated by imaging without being influenced by the subjectivity of the user or the user's related parties. Therefore, the user's temperament can be estimated appropriately.

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

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

(6) For example, a plurality of evaluation items are items for which different behaviors are evaluated, and the evaluation unit 110 when the actions for which the evaluation items are evaluated are executed for each of the plurality of evaluation items. Evaluation is performed by calculating an evaluation value according to the degree of agreement between the measurement result by a sensor (for example, sensor 101a) and a predetermined standard (predetermined standard for comparison), and the estimation unit 120 performs evaluation by each of a plurality of evaluation items. The user's temperament may be estimated based on the evaluation value calculated by the evaluation unit 110.

As a result, the temperament can be estimated based on the degree of agreement between the measurement result and the standard without being influenced by the subjectivity of the user or the user's related parties.

(7) For example, the plurality of evaluation items have specific temperament characteristics, and the estimation unit 120 sets the specific temperament characteristics by the user according to the sum of the evaluation values calculated by the evaluation unit 110 for each of the plurality of evaluation items. The user's temperament may be estimated 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 user's related persons.

(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.

As a result, the user, or a person related to the user, can know the temperament of the user estimated by the temperament estimation system 10 by checking the presentation information.

(9) The temperament estimation method according to one aspect of the present invention is a temperament estimation method for estimating the temperament of a user, and is related to the behavior of the user by using one or a plurality of sensors (for example, sensors 101a and 101b). A measurement step (for example, step S11) for performing sequential measurement, and an evaluation step (for example, steps S12, S13, S15) for evaluating each of a plurality of evaluation items related to the user's behavior based on the measurement results in the measurement step. An estimation step (for example, step S16) 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 (for example, step S16) that presents presentation information indicating the temperament estimated in the estimation step. Step S17) and is included.

As a result, the user's temperament can be estimated based on the measurement result of the sensor without being influenced by the subjectivity of the user or the user's related parties.

(10) The 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, and the temperament estimation process is related to the user's behavior. An evaluation step (eg, steps S12, S13, S15) for evaluating each of the plurality of evaluation items related to the user's behavior based on the results of sequential measurements performed by one or more sensors (for example, sensors 101a and 101b). And an estimation step (for example, step S16) in which the temperament of the user is estimated based on the evaluation results for each of the plurality of evaluation items in the evaluation step.

If this disposition estimation processing program is installed in the information processing device 100, which is a computer equipped with a microprocessor, the information processing device 100 executes the disposition estimation processing, and for example, presenting information indicating the estimation result by the information processing device 100 is provided. The presentation unit 102 presents. The user, or a person related to the user, can know the temperament of the user estimated by the information processing apparatus 100 by checking the presentation information.

10 Temperament estimation system 101a, 101b Sensor 102 Presentation unit 110 Evaluation unit 120 Estimator unit

Claims (10)

It is a temperament estimation system that estimates the user's temperament.
One or more sensors that make sequential measurements related to user behavior,
An evaluation unit that evaluates each of a plurality of evaluation items related to the user's behavior based on the results of measurement by the one or more sensors.
It is provided with an estimation unit that estimates the temperament of the user based on the evaluation results for each of the plurality of evaluation items by the evaluation unit .
The behavior to be evaluated for one of the plurality of evaluation items is a temperament estimation system that is an organized storage behavior related to the storage of a plurality of articles . The temperament estimation system according to claim 1, wherein each of the plurality of evaluation items is the same as each of the plurality of question items by the questionnaire method used for determining the temperament. The plurality of evaluation items are items for which different behaviors are evaluated.
For each of the plurality of evaluation items, the evaluation unit calculates an evaluation value according to the frequency with which the action targeted by the evaluation item is executed based on the result of sequential measurement by the sensor in a predetermined period. Perform the above evaluation
The temperament estimation system according to claim 1 or 2, wherein the estimation unit estimates the temperament of the user based on the 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 taking an image of a predetermined space in the action of the user.
For one of the plurality of evaluation items, the evaluation unit sets the evaluation item as an evaluation target depending on whether or not the degree of agreement between the image generated by the image sensor and the predetermined image is higher than the predetermined threshold value. The temperament estimation system according to claim 3, wherein the evaluation is performed by determining whether or not the action has been executed. The temperament estimation system according to claim 4, wherein the predetermined space includes a place where the plurality of articles should be stored. The plurality of evaluation items are items for which different behaviors are evaluated.
For each of the plurality of evaluation items, the evaluation unit shall calculate an evaluation value according to the degree of agreement between the measurement result by the sensor and the predetermined standard when the action targeted by the evaluation item is executed. Perform the above evaluation in
The temperament estimation system according to claim 1 or 2, wherein the estimation unit estimates the temperament of the user based on the evaluation value calculated by the evaluation unit for each of the plurality of evaluation items. The plurality of endpoints relate to specific temperament characteristics.
The estimation unit specifies the height of the tendency of the user 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. 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 temperament estimation unit. A temperament estimation method that is executed by a computer to estimate the user's temperament.
A measurement step that uses one or more sensors to make sequential measurements in relation to user behavior.
An evaluation step for evaluating each of a plurality of evaluation items related to the user's behavior based on the measurement results in the measurement step,
An estimation step that estimates the user's temperament based on the evaluation results for each of the plurality of evaluation items in the evaluation step, and
Look including a presentation step of presenting the presentation information indicating the disposition estimated by said estimating step,
The behavior to be evaluated for one of the plurality of evaluation items is a temperament estimation method which is an organized storage behavior related to the storage of a plurality of articles . It is 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
An evaluation step that evaluates each of a plurality of evaluation items related to the user's behavior based on the results of sequential measurements performed by one or more sensors in relation to the user's behavior.
Look including the estimated step of estimating the disposition of the user on the basis of the evaluation results for each of the plurality of evaluation items in the evaluation step,
The behavior to be evaluated for one of the plurality of evaluation items is a temperament estimation processing program that is an organized storage behavior related to the storage of a plurality of articles .

Images