WO2022113276A1 - Information processing device, control method, and storage medium - Google Patents
Information processing device, control method, and storage medium Download PDFInfo
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- WO2022113276A1 WO2022113276A1 PCT/JP2020/044250 JP2020044250W WO2022113276A1 WO 2022113276 A1 WO2022113276 A1 WO 2022113276A1 JP 2020044250 W JP2020044250 W JP 2020044250W WO 2022113276 A1 WO2022113276 A1 WO 2022113276A1
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- 230000010365 information processing Effects 0.000 title claims abstract description 104
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
Definitions
- the present disclosure relates to technical fields of information processing devices, control methods, and storage media that perform processing related to estimation of an internal state.
- Patent Document 1 discloses a stress measuring device that determines a temporary stress level of a subject and a stress level of the subject over time based on the test data of the subject. ..
- An object of the present disclosure is to provide an information processing device, a control method, and a storage medium capable of accurately estimating a mental state in view of the above-mentioned problems.
- a base type acquisition means for acquiring a base type indicating the basic type of a subject
- the stress state acquisition means for acquiring the estimation result of the stress state of the subject, and the stress state acquisition means.
- a mental state estimation means for estimating the mental state of the subject based on the base type and the estimation result of the stress state, and It is an information processing device having.
- the computer Get a base type that shows the basic type of the subject, Obtaining the estimation result of the stress state of the subject, The mental state of the subject is estimated based on the base type and the estimation result of the stress state. It is a control method.
- the "computer” includes any electronic device (which may be a processor included in the electronic device), and may be composed of a plurality of electronic devices.
- One aspect of the storage medium is Get a base type that shows the basic type of the subject, Obtaining the estimation result of the stress state of the subject, It is a storage medium in which a program for causing a computer to execute a process of estimating the mental state of the subject based on the base type and the estimation result of the stress state is stored.
- the mental state of the subject can be suitably estimated.
- the schematic configuration of the mental state estimation system which concerns on 1st Embodiment is shown.
- An example of the hardware configuration of the information processing apparatus common to each embodiment is shown.
- a display example of the mental state confirmation screen in the first embodiment is shown.
- This is an example of a functional block of the information processing apparatus according to the second embodiment.
- a display example of the mental state confirmation screen in the second embodiment is shown.
- a schematic configuration of the mental state estimation system according to the third embodiment is shown. It is a block diagram of the information processing apparatus in 4th Embodiment. This is an example of a flowchart executed by the information processing apparatus in the fourth embodiment.
- System Configuration Figure 1 shows a schematic configuration of the mental state estimation system 100 according to the first embodiment.
- the mental state estimation system 100 estimates the mental state of the subject and visualizes the estimation result.
- the "target person” may be an athlete or an employee whose mental state is managed by the organization, or may be an individual user.
- mental state refers to the mental state (psychological state, mental state) of the subject, for example, the tendency of attitude / posture toward a task, the tendency of reaction to things, the tendency of attitude / posture toward others, etc. Point to.
- the mental state estimation system 100 mainly includes an information processing device 1, an input device 2, a display device 3, a storage device 4, and a sensor 5.
- the information processing device 1 performs data communication with the input device 2, the display device 3, and the sensor 5 via a communication network or by direct communication by wireless or wired. Then, the information processing device 1 is mental of the subject based on the input signal "S1" supplied from the input device 2, the sensor signal “S3” supplied from the sensor 5, and the information stored in the storage device 4. Estimate the state, etc. Further, the information processing device 1 generates a display signal "S2" based on an estimation result of the mental state of the target person, and supplies the generated display signal S2 to the display device 3.
- the input device 2 is an interface that accepts user input (manual input) of information about each target person.
- the user who inputs information using the input device 2 may be the target person himself / herself, or may be a person who manages or supervises the activities of the target person.
- the input device 2 may be various user input interfaces such as a touch panel, a button, a keyboard, a mouse, and a voice input device.
- the input device 2 supplies the input signal S1 generated based on the user's input to the information processing device 1.
- the display device 3 displays predetermined information based on the display signal S2 supplied from the information processing device 1.
- the display device 3 is, for example, a display or a projector.
- the sensor 5 measures the biological signal of the subject and supplies the measured biological signal or the like to the information processing apparatus 1 as the sensor signal S3.
- the sensor signal S3 is an arbitrary biological signal (including vital information) such as the subject's heartbeat, brain wave, sweating amount, hormone secretion amount, cerebral blood flow, blood pressure, body temperature, myoelectricity, and respiratory rate. May be good.
- the sensor 5 may be a device that analyzes blood collected from the subject and outputs a sensor signal S3 indicating the analysis result.
- the sensor 5 may be a wearable terminal worn by the target person, or may be a camera for photographing the target person, a microphone for generating an audio signal of the target person's utterance, or the like.
- the storage device 4 is a memory that stores various information necessary for estimating the mental state and the like.
- the storage device 4 may be an external storage device such as a hard disk connected to or built in the information processing device 1, or may be a storage medium such as a flash memory. Further, the storage device 4 may be a server device that performs data communication with the information processing device 1. Further, the storage device 4 may be composed of a plurality of devices.
- the storage device 4 has base type information 40, estimated stress information 41, mental state-related information 42, and advice information 43.
- the base type information 40 is information indicating the base type of the target person, and is, for example, information in which the identification information (target person ID) of the target person is associated with the identification information indicating the base type of the target person.
- the "base type” refers to a basic type (category) related to the inside of the subject, and is based on at least one of the subject's age, personality, cognitive tendency, gender, occupation, income, race, and the like. Is classified (categorized).
- the base type information 40 may be generated by the information processing device 1 and stored in the storage device 4, or may be generated in advance by a device other than the information processing device 1 and stored in the storage device 4. There may be.
- the estimated stress information 41 is information related to a value (also referred to as a "stress estimated value”) representing a stress state estimated by the information processing apparatus 1 based on the sensor signal S3.
- the estimated stress information 41 is, for example, a database having a record in which the stress estimated value calculated by the information processing apparatus 1 is associated with the date and time information indicating the estimated date and time and the identification information (target person ID) of the target person.
- the above "estimated date and time” may be the generation date and time of the signal used for the estimation, or may be the date and time when the estimation was performed.
- the mental state relationship information 42 is information representing the relationship between the mental state and other elements (specifically, the stress state and the base type).
- the mental state relationship information 42 is, for example, table information indicating the mental state corresponding to each combination of the stress estimated value and the base type. A specific example of the mental state-related information 42 will be described later with reference to FIG.
- the advice information 43 is information regarding advice for the target person.
- the advice information 43 is, for example, a database in which advice suitable for each mental state is recorded.
- the advice information 43 may be information recording advice according to the combination of the mental state and the attributes (gender, occupation, age, etc.) of the subject.
- the configuration of the mental state estimation system 100 shown in FIG. 1 is an example, and various changes may be made to the configuration.
- the input device 2 and the display device 3 may be integrally configured.
- the input device 2 and the display device 3 may be configured as a tablet-type terminal integrated with or separate from the information processing device 1.
- the input device 2 and the sensor 5 may be integrally configured.
- the information processing device 1 may be composed of a plurality of devices. In this case, the plurality of devices constituting the information processing device 1 exchange information necessary for executing the pre-assigned process among the plurality of devices. In this case, the information processing apparatus 1 functions as an information processing system.
- FIG. 2 shows the hardware configuration of the information processing device 1.
- the information processing apparatus 1 includes a processor 11, a memory 12, and an interface 13 as hardware.
- the processor 11, the memory 12, and the interface 13 are connected via the data bus 19.
- the processor 11 functions as a controller (arithmetic unit) that controls the entire information processing device 1 by executing a program stored in the memory 12.
- the processor 11 is, for example, a processor such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a TPU (Tensor Processing Unit), or a quantum processor.
- the processor 11 may be composed of a plurality of processors.
- the processor 11 is an example of a computer.
- the memory 12 is composed of various volatile memories such as a RAM (Random Access Memory), a ROM (Read Only Memory), and a flash memory, and a non-volatile memory. Further, the memory 12 stores a program for executing the process executed by the information processing apparatus 1. A part of the information stored in the memory 12 may be stored by one or a plurality of external storage devices that can communicate with the information processing device 1, and is stored by a storage medium that can be attached to and detached from the information processing device 1. You may.
- the interface 13 is an interface for electrically connecting the information processing device 1 and another device.
- These interfaces may be wireless interfaces such as network adapters for wirelessly transmitting and receiving data to and from other devices, and may be hardware interfaces for connecting to other devices by cables or the like.
- the hardware configuration of the information processing device 1 is not limited to the configuration shown in FIG.
- the information processing device 1 may include at least one of the input device 2 and the display device 3. Further, the information processing device 1 may be connected to or built in a sound output device such as a speaker.
- FIG. 3 is an example of a functional block of the information processing apparatus 1.
- the processor 11 of the information processing unit 1 functionally includes a base type determination unit 14, a stress state estimation unit 15, a mental state estimation unit 16, and a display control unit 17.
- the blocks in which data is exchanged are connected by a solid line, but the combination of blocks in which data is exchanged is not limited to FIG. The same applies to the figures of other functional blocks described later.
- the base type determination unit 14 determines the base type of the target person based on the input signal S1 generated by the input to the input device 2 of the target person. In this case, for example, the base type determination unit 14 determines the base type of the target person by receiving the input signal S1 indicating the answer content of the questionnaire from the input device 2 via the interface 13.
- This questionnaire is, for example, a question about at least one of the subject's age, personality, cognitive tendency (that is, what kind of situation and how they tend to react), and is difficult to estimate from biometric data. Consists of. For example, there is a major five-factor personality test as a means of determining the personality of a respondent based on the answer to such a question.
- the base type determination unit 14 or the display control unit 17 selects the question option by, for example, transmitting the display signal S2 for displaying the question and answer options to the display device 3 via the interface 13. Display to the target person in a selectable manner.
- Information necessary for determining the base type from the contents of the questionnaire answers is stored in advance in the storage device 4 or the memory 12.
- the base type determination unit 14 preferably determines the base type of the subject based on the subjective information (subjective value or subjective measurement value) which is the subjective information of the subject such as the questionnaire result. Can be done.
- the base type determination unit 14 records the determined base type in the base type information 40 in association with the target person ID of the target person.
- the base type determination unit 14 determines the base type based on objective information (objective value or objective measurement value) which is objective information detected from the subject, not limited to subjective information such as questionnaire results. May be good. For example, the base type determination unit 14 estimates the walking amount (activity amount) of the target person based on the position information such as GPS, and determines whether or not the target person is active based on the estimated walking amount. To determine the base type of the target person. In another example, the base type determination unit 14 extracts a word uttered by the subject based on an arbitrary voice recognition technique from the voice data including the conversation of the subject, and determines the base type based on the extracted word. In this case, any natural language processing method such as word2vec may be used. In yet another example, even if the base type determination unit 14 determines the base type of the subject based on the age, gender, occupation, income, race, etc. included in the information registered in the system in advance by the subject. good.
- objective information objective value or objective measurement value
- the base type determination unit 14
- the stress state estimation unit 15 calculates a stress estimated value, which is the estimated degree of stress of the subject who is the subject, based on the sensor signal S3. There are various methods for calculating the stress estimated value from biological data and the like, and the stress state estimation unit 15 may calculate the stress estimated value by any of these methods. Information necessary for calculating the stress estimated value from the sensor signal S3 (for example, parameters of the calculation model) is stored in advance in the storage device 4 or the memory 12. The stress state estimation unit 15 records the calculated stress estimated value in the estimated stress information 41 in association with the subject ID of the subject and the estimated date and time.
- the mental state estimation unit 16 uses the mental state-related information 42 based on the base type of the subject indicated by the base type information 40 and the estimated stress value of the subject indicated by the estimated stress information 41, and uses the mental state of the subject. To estimate. The method of estimating the mental state using the mental state estimation unit 16 will be described later.
- the display control unit 17 performs display control regarding the mental state of the target person estimated by the mental state estimation unit 16. Specifically, the display control unit 17 generates a display signal S2 of a confirmation screen (also referred to as a “mental state confirmation screen”) regarding the mental state of the target person based on the estimation result of the mental state of the target person. Then, the display control unit 17 supplies the generated display signal S2 to the display device 3 via the interface 13.
- the mental state confirmation screen to be displayed on the display device 3 will be described later.
- the viewer of the mental state confirmation screen displayed on the display device 3 may be, for example, a target person or a person who manages or supervises the target person.
- Each component of the base type determination unit 14, the stress state estimation unit 15, the mental state estimation unit 16, and the display control unit 17 described with reference to FIG. 3 can be realized, for example, by the processor 11 executing a program. Further, each component may be realized by recording a necessary program in an arbitrary non-volatile storage medium and installing it as needed. It should be noted that at least a part of each of these components is not limited to being realized by software by a program, but may be realized by any combination of hardware, firmware, and software. Further, at least a part of each of these components may be realized by using a user-programmable integrated circuit such as an FPGA (Field-Programmable Gate Array) or a microcontroller.
- FPGA Field-Programmable Gate Array
- this integrated circuit may be used to realize a program composed of each of the above components.
- at least a part of each component may be configured by an ASIC (Application Specific Standard Produce), an ASIC (Application Specific Integrated Circuit), or a quantum processor (quantum computer control chip).
- ASIC Application Specific Standard Produce
- ASIC Application Specific Integrated Circuit
- quantum processor quantum computer control chip
- each component may be realized by various hardware. The above is the same in other embodiments described later. Further, each of these components may be realized by the collaboration of a plurality of computers by using, for example, cloud computing technology.
- FIG. 4 is an example of the data structure of the mental state-related information 42.
- the mental state relationship information 42 shown in FIG. 4 is a table corresponding to each combination of the stress estimated value and the base type.
- the base type is represented by a combination of an identification symbol of Roman letters (X to Z, 7)
- a brief explanation of the corresponding base type positive thinking, negative thinking, withdrawal thinking, .
- stress estimates are classified into five stages (low, slightly low, medium, slightly high, and high). Information in the range of stress estimates corresponding to each stage is stored in advance in the storage device 4 or the memory 12.
- the mental state estimation unit 16 determines the corresponding mental state from the base type of the target person and the stress estimated value of the target person by referring to the mental state relationship information 42 shown in FIG.
- the mental state estimation unit 16 when the base type of the subject is "X: positive thinking" and the stress estimation value of the subject belongs to “low”, the mental state of the subject is "challenge". Recognize that it is a "state”. In another example, in the mental state estimation unit 16, when the base type of the subject is "Y: negative thinking" and the stress estimation value of the subject belongs to "high”, the mental state of the subject is "". Recognize that it is in a closed state.
- the mental state estimation unit 16 can suitably estimate the mental state of the subject based on the base type of the subject and the stress estimation value by referring to the mental state relationship information 42.
- the mental state relationship information 42 is not limited to the table information as shown in FIG. 4, and may be information of an inference device that infers the relationship between the base type, the stress state, and the mental state.
- the inferior is, for example, a model trained to output information identifying the corresponding mental state when a base type and a stress estimate are input.
- the inferior is pre-learned based on a learning data set consisting of an appropriate combination of the base type, the stress estimate, and the mental state, and the parameters of the inferior obtained by the learning are stored as the mental state-related information 42. It is stored in 4.
- the inferior model may be any machine learning model such as a neural network or a support vector machine.
- the mental state estimation unit 16 configures the above-mentioned inference device by referring to the mental state relationship information 42, and inputs the target base type and the stress estimation value to the inference device to input the target person's base type and stress estimation value to the inference device. Estimate the mental state.
- the mental state estimation unit 16 may estimate the mental state based on the latest stress estimation value estimated by the stress state estimation unit 15 (or at the time when the mental state is to be estimated), and may perform a plurality of mental state estimations at different time points.
- the mental state may be estimated based on the stress estimate.
- the mental state estimation unit 16 extracts one stress estimated value from the estimated stress information 41, and estimates the extracted stress estimated value based on the combination with the base type of the subject indicated by the base type information 40. Estimate the mental state at the time. As a result, the mental state estimation unit 16 estimates the mental state that accurately reflects the stress state of the subject at the time when the mental state is to be estimated.
- the mental state estimation unit 16 extracts, for example, the latest predetermined number of stress estimates of the subject from the estimated stress information 41, and based on the combination with the base type of the subject indicated by the base type information 40, for example. A predetermined number of mental states corresponding to each stress estimate are determined.
- the "estimated stress value for a predetermined number" is, for example, an estimated stress value of a subject estimated within the latest predetermined period (for example, one week or one month). Then, the mental state estimation unit 16 determines a representative mental state of the subject from the mental states determined for each of the stress estimated values.
- the mental state estimation unit 16 determines the most common mental state and the like as a representative mental state based on the aggregated result of the mental states determined for each of the stress estimated values. Then, the mental state estimation unit 16 estimates a typical mental state as the mental state of the subject. In this example, the mental state estimation unit 16 can suitably estimate the mental state that accurately reflects the recent tendency of the stress state of the subject.
- FIG. 5 shows a display example of the mental state confirmation screen in the first embodiment.
- the display control unit 17 generates a display signal S2 based on the mental state of the target person estimated by the mental state estimation unit 16, and supplies the generated display signal S2 to the display device 3, thereby causing the display device 3 to have a mental state.
- a confirmation screen is displayed.
- the display control unit 17 mainly provides a base type display area 51, a stress transition display area 52, a mental state display area 53, and an advice display area 54 on the mental state confirmation screen.
- the display control unit 17 refers to the base type information 40 and displays the base type “X: negative thinking” of the subject in the base type display area 51. Further, the display control unit 17 refers to the estimated stress information 41 and displays a graph showing the transition of the stress estimated value (stress level) for the latest week of the subject in the stress transition display area 52.
- the display control unit 17 displays the mental state of the target person estimated by the mental state estimation unit 16 in the mental state display area 53.
- the display control unit 17 refers to the mental state-related information 42 shown in FIG. 4, and sets the mental state “withdrawn state” associated with the base type “X: negative thinking” and the stress estimated value “high”. It is defined as a mental state.
- the display control unit 17 extracts the text information of the advice associated with the mental state estimated by the mental state estimation unit 16 from the advice information 43, and displays the extracted text information in the advice display area 54.
- the display control unit 17 can suitably present the stress state, mental state and advice of the target person to the viewer.
- FIG. 6 is an example of a flowchart executed by the information processing apparatus 1 in the first embodiment.
- the information processing apparatus 1 executes, for example, the processing of the flowchart shown in FIG. 6 when the estimation request of the mental state in which the target person is designated is detected based on the input signal S1 or the like.
- the information processing apparatus 1 determines whether or not the base type of the target person is known (step S11). In this case, the information processing apparatus 1 determines whether or not the base type of the target person is registered in the base type information 40. Then, when the base type of the target person is known (step S11; Yes), the information processing apparatus 1 shifts the process to step S13. On the other hand, when the base type of the target person is not known (step S11; No), the information processing apparatus 1 determines the base type of the target person (step S12). In this case, the information processing apparatus 1 determines the base type of the target person based on the input signal S1 indicating the answer to the questionnaire of the target person, and updates the base type information 40 based on the determination result.
- the information processing apparatus 1 estimates the stress of the subject based on the sensor signal S3 output by the sensor 5 with the subject as the subject (step S13). Then, the information processing apparatus 1 updates the estimated stress information 41 based on the calculated stress estimated value.
- the information processing apparatus 1 refers to the mental state-related information 42, and estimates the mental state of the target person based on the base type of the target person and the stress estimation value (step S14). In this case, for example, the information processing apparatus 1 estimates the mental state based on the stress estimated value calculated in the immediately preceding step S13. In another example, the information processing apparatus 1 is a representative mental state determined from the mental states specified respectively based on the stress estimated values of a predetermined number of subjects including the stress estimated values calculated in the immediately preceding step S13. May be estimated as the mental state of the subject.
- the information processing apparatus 1 outputs the estimation result of the mental state in step S14 (step S15).
- the information processing device 1 generates, for example, a display signal S2 for displaying the mental state confirmation screen shown in FIG. 5 based on the estimation result of the mental state in step S14, and displays the generated display signal S2 on the display device 3. Send.
- the information processing device 1 may store the estimation result of the mental state in the storage device 4 in association with the target person.
- the information processing device 1 may generate voice data for voice output of the estimation result of the mental state, and may supply the generated voice data to a sound output device (not shown).
- FIG. 7 shows a functional block diagram of the information processing apparatus 1A according to the second embodiment.
- the information processing apparatus 1A in the second embodiment calculates an acute stress estimated value and a chronic stress estimated value as an index showing the stress state of the subject, and estimates the mental state with high accuracy based on these estimated values.
- the same components as those in the first embodiment will be appropriately designated with the same reference numerals, and the description thereof will be omitted. It is assumed that the information processing apparatus 1A has the same hardware configuration as the hardware configuration of the information processing apparatus 1 shown in FIG.
- the processor 11 of the information processing device 1A functionally has a base type determination unit 14, a stress state estimation unit 15A, a mental state estimation unit 16A, and a display control unit 17. Further, the storage device 4 mainly stores the base type information 40, the acute stress information 41a, the chronic stress information 41b, the mental state relationship information 42A, the advice information 43, and the sensor accumulation information 44.
- the stress state estimation unit 15A calculates the acute stress estimation value and the chronic stress estimation value of the subject based on the sensor accumulation information 44.
- the sensor storage information 44 is information that stores the sensor signal S3 generated with the subject as the subject, and is, for example, date and time information indicating the generation date and time of the target person ID, the sensor signal S3, and the sensor signal S3. Is the associated database.
- the stress state estimation unit 15 calculates the acute stress estimated value of the subject based on the sensor signal S3 corresponding to the latest state of the subject. Further, the stress state estimation unit 15 calculates the chronic stress estimated value of the subject based on the sensor signal S3 generated in the latest predetermined period (for example, the latest one month) of the subject.
- the stress state estimation unit 15A may calculate acute stress estimates and chronic stress estimates by any of these methods. ..
- the stress state estimation unit 15 records the calculated acute stress estimated value in the acute stress information 41a in association with the subject ID of the subject and the estimated date and time, and records the calculated chronic stress estimated value in the subject ID of the subject and the subject ID and the estimated date and time. Record in chronic stress information 41b in association with the estimated date and time.
- the mental state estimation unit 16A uses the base type of the subject indicated by the base type information 40, the acute stress estimated value of the subject indicated by the acute stress information 41a, and the chronic stress estimated value of the subject indicated by the chronic stress information 41b. Based on this, the mental state of the subject is estimated.
- the mental state-related information 42A is, for example, table information showing the mental state corresponding to each combination of the base type, the acute stress estimated value, and the chronic stress estimated value.
- the mental state relationship information 42A may be parameter information for constructing an inferior learned by deep learning or the like. In this case, the inferior is a model trained to output the corresponding mental states when the base type, acute stress estimates and chronic stress estimates are input.
- the mental state-related information 42A estimates the mental state of the subject based on the latest acute stress estimates and chronic stress estimates.
- the mental state relationship information 42A determines a representative mental state determined from the mental state specified for each set of acute stress estimates and chronic stress estimates corresponding to multiple estimated dates and times. , Estimated as the mental state of the subject.
- the display control unit 17A controls the display of the display device 3 based on the mental state estimated by the mental state estimation unit 16A, the base type information 40, the acute stress information 41a, the chronic stress information 41b, the advice information 43, and the like. A specific example of the display control unit 17A will be described later.
- FIG. 8 shows a display example of the mental state confirmation screen in the second embodiment.
- the display control unit 17A generates a display signal S2 based on the mental state of the target person estimated by the mental state estimation unit 16A, and supplies the generated display signal S2 to the display device 3, whereby FIG. 8 is shown on the display device 3.
- the mental status confirmation screen shown in is displayed.
- the display control unit 17A mainly provides a base type display area 51, a stress transition display area 52A, a mental state display area 53, and an advice display area 54 on the mental state confirmation screen.
- the display control unit 17A is a graph of the acute stress estimated value for the latest week of the subject based on the acute stress information 41a and the subject based on the chronic stress information 41b on the stress transition display region 52A.
- a graph of chronic stress estimates for the last week is displayed.
- the display control unit 17A can preferably make the viewer visually recognize the recent transition of the stress state of the chronic or acute subject.
- the display control unit 17A displays the base type of the target person based on the base type information 40 in the base type display area 51, and displays the mental state estimated by the mental state estimation unit 16A in the mental state display area 53. Further, the display control unit 17A displays the advice corresponding to the mental state of the target person, which is determined based on the advice information 43, in the advice display area 54.
- FIG. 9 shows a schematic configuration of the mental state estimation system 100B in the third embodiment.
- the mental state estimation system 100B according to the third embodiment is a system of a server client model, and the information processing device 1B functioning as a server device is the information processing device 1 in the first embodiment or the information processing device 1A in the second embodiment.
- Process the same components as those of the first embodiment or the second embodiment will be appropriately designated by the same reference numerals, and the description thereof will be omitted.
- the mental state estimation system 100A mainly includes an information processing device 1B that functions as a server, a storage device 4, and a terminal device 8 that functions as a client.
- the information processing device 1B and the terminal device 8 perform data communication via the network 7.
- the terminal device 8 is a terminal used by a user (user) who is a subject, has an input function, a display function, and a communication function, and functions as an input device 2 and a display device 3 shown in FIG. do.
- the terminal device 8 may be, for example, a personal computer, a tablet terminal such as a smartphone, a PDA (Personal Digital Assistant), or the like.
- the terminal device 8 is electrically connected to a sensor 5 such as a wearable sensor worn by the user, and outputs a biological signal of the subject and the like (that is, information corresponding to the sensor signal S3 in FIG. 1) output by the sensor 5. , Transmit to the information processing device 1B. Further, the terminal device 8 receives user input related to the answer to the questionnaire and transmits the information generated by the user input (information corresponding to the input signal S1 in FIG. 1) to the information processing device 1B.
- the information processing apparatus 1B has the same hardware configuration as the hardware configuration of the information processing apparatus 1 shown in FIG. 2, and the processor 11 of the information processing apparatus 1B has a functional block shown in FIG. 3 or FIG. Then, the information processing apparatus 1B receives the information corresponding to the input signal S1 and the sensor signal S3 in FIG. 1 from the terminal apparatus 8 via the network 7, determines the base type, estimates the stress state, and estimates the mental state. Executes the processing related to. Further, the information processing device 1B transmits a display signal for displaying the mental state confirmation screen or the like shown in FIG. 6 or FIG. 8 to the terminal device 8 via the network 7 based on the display request from the terminal device 8. do.
- the mental state of the subject is estimated based on the biological signal of the subject received from the terminal used by the subject, the result of the questionnaire, and the like, and the estimated result is transmitted to the subject to the terminal.
- FIG. 10 is a block diagram of the information processing apparatus 1X according to the fourth embodiment.
- the information processing apparatus 1X mainly includes a base type acquisition unit 14X, a stress state acquisition unit 15X, and a mental state estimation unit 16X.
- the information processing device 1X may be composed of a plurality of devices.
- the base type acquisition means 14X acquires a base type indicating the basic type of the subject.
- the base type acquisition means 14X may acquire the base type by determining the base type based on the questionnaire result of the subject or the like, and obtains the information of the base type determined by the device other than the information processing apparatus 1X.
- the base type may be acquired by receiving.
- the base type acquisition means 14X can be the base type determination unit 14 in the first to third embodiments.
- the stress state acquisition means 15X acquires the estimation result of the stress state of the subject.
- the stress state acquisition means 15X may acquire the stress state estimation result by estimating the stress state of the subject based on the biological signal of the subject, and the device other than the information processing device 1X may acquire the stress state estimation result.
- the estimation result of the stress state may be acquired by receiving the estimation result of the estimated stress state.
- the stress state acquisition means 15X can be the stress state estimation unit 15 in the first embodiment or the third embodiment, or the stress state estimation unit 15A in the second embodiment or the third embodiment.
- the stress state acquisition means 15X may acquire a plurality of estimation results of the stress state of the subject at different time points.
- the mental state estimation means 16X estimates the mental state of the subject based on the base type and the estimation result of the stress state.
- the mental state estimation means 16X can be, for example, the mental state estimation unit 16 in the first embodiment or the third embodiment, or the mental state estimation unit 16A in the second embodiment or the third embodiment.
- FIG. 11 is an example of a flowchart executed by the information processing apparatus 1X in the fourth embodiment.
- the base type acquisition means 14X acquires a base type indicating the basic type of the subject (step S21).
- the stress state acquisition means 15X acquires the estimation result of the stress state of the subject (step S22).
- the mental state estimation means 16X estimates the mental state of the subject based on the base type and the estimation result of the stress state (step S23).
- the information processing apparatus 1X can accurately estimate the mental state of the subject based on the base type indicating the basic type of the subject and the stress state.
- Non-temporary computer-readable media include various types of tangible storage media.
- Examples of non-temporary computer-readable media include magnetic storage media (eg, flexible disks, magnetic tapes, hard disk drives), optomagnetic storage media (eg, optomagnetic disks), CD-ROMs (ReadOnlyMemory), CD-Rs, Includes CD-R / W, semiconductor memory (eg, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (RandomAccessMemory)).
- the program may also be supplied to the computer by various types of transient computer readable medium.
- Examples of temporary computer readable media include electrical, optical, and electromagnetic waves.
- the temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.
- a base type acquisition means for acquiring a base type indicating the basic type of a subject, and The stress state acquisition means for acquiring the estimation result of the stress state of the subject, and the stress state acquisition means.
- a mental state estimation means for estimating the mental state of the subject based on the base type and the estimation result of the stress state, and Information processing device with.
- the stress state acquisition means acquires an estimation result regarding the acute stress of the subject and an estimation result regarding the chronic stress of the subject, and obtains the estimation result.
- the information processing apparatus according to Appendix 1, wherein the mental state estimation means estimates the mental state based on the base type, the estimation result regarding the acute stress, and the estimation result regarding the chronic stress.
- the stress state acquisition means acquires the estimation results of the stress state at a plurality of time points of the subject, respectively.
- the information processing apparatus according to Appendix 1 or 2 wherein the mental state estimation means estimates the mental state based on the aggregated results of the mental states specified from the estimation results at the plurality of time points.
- the mental state estimation means estimates the mental state based on the mental state relationship information which is the information defining the relationship between the base type, the stress state, and the mental state.
- the mental state relationship information is table information representing the relationship or information of an inference device for inferring the relationship.
- Appendix 12 Get a base type that shows the basic type of the subject, Obtaining the estimation result of the stress state of the subject, A storage medium in which a program for causing a computer to execute a process of estimating the mental state of a subject based on the base type and the estimation result of the stress state is stored.
Abstract
This information processing device 1X mainly has a base type acquisition means 14X, a stress state acquisition means 15X, and a mental state estimation means 16X. The base type acquisition means 14X acquires a base type indicating the basic type of a subject. The stress state acquisition means 15X acquires the result of estimating the stress state of the subject. The mental state estimation means 16X estimates the mental state of the subject on the basis of the base type and the result of estimating the stress state.
Description
本開示は、内面状態の推定に関する処理を行う情報処理装置、制御方法及び記憶媒体の技術分野に関する。
The present disclosure relates to technical fields of information processing devices, control methods, and storage media that perform processing related to estimation of an internal state.
被検者の検査(測定)データに基づき被検者のストレス状態を判定する装置又はシステムが知られている。例えば、特許文献1には、被検者の検査データに基づき、各日の被検者の一時的ストレス度と、被検者の経時的ストレス度とを判定するストレス測定装置が開示されている。
A device or system for determining the stress state of a subject based on the examination (measurement) data of the subject is known. For example, Patent Document 1 discloses a stress measuring device that determines a temporary stress level of a subject and a stress level of the subject over time based on the test data of the subject. ..
ストレスの緩和・改善を目指す場合、ストレスの影響を受けて変化する被検者のメンタル状態(心理状態、精神状態)を的確に把握した介入が必要となる。例えば、被検者が精神的に弱っているメンタル状態の場合に、励ましを行うと却ってストレス状態を悪化させる場合がある。
When aiming to relieve or improve stress, intervention that accurately grasps the mental state (psychological state, mental state) of the subject, which changes under the influence of stress, is required. For example, when the subject is in a mentally weakened state, encouragement may actually worsen the stress state.
本開示の目的は、上述した課題を鑑み、メンタル状態を的確に推定することが可能な情報処理装置、制御方法及び記憶媒体を提供することである。
An object of the present disclosure is to provide an information processing device, a control method, and a storage medium capable of accurately estimating a mental state in view of the above-mentioned problems.
情報処理装置の一の態様は、
被検者の基本的なタイプを示すベースタイプを取得するベースタイプ取得手段と、
前記被検者のストレス状態の推定結果を取得するストレス状態取得手段と、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定するメンタル状態推定手段と、
を有する情報処理装置である。 One aspect of the information processing device is
A base type acquisition means for acquiring a base type indicating the basic type of a subject, and
The stress state acquisition means for acquiring the estimation result of the stress state of the subject, and the stress state acquisition means.
A mental state estimation means for estimating the mental state of the subject based on the base type and the estimation result of the stress state, and
It is an information processing device having.
被検者の基本的なタイプを示すベースタイプを取得するベースタイプ取得手段と、
前記被検者のストレス状態の推定結果を取得するストレス状態取得手段と、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定するメンタル状態推定手段と、
を有する情報処理装置である。 One aspect of the information processing device is
A base type acquisition means for acquiring a base type indicating the basic type of a subject, and
The stress state acquisition means for acquiring the estimation result of the stress state of the subject, and the stress state acquisition means.
A mental state estimation means for estimating the mental state of the subject based on the base type and the estimation result of the stress state, and
It is an information processing device having.
制御方法の一の態様は、
コンピュータが、
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する、
制御方法である。なお、「コンピュータ」は、あらゆる電子機器(電子機器に含まれるプロセッサであってもよい)を含み、かつ、複数の電子機器により構成されてもよい。 One aspect of the control method is
The computer
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
The mental state of the subject is estimated based on the base type and the estimation result of the stress state.
It is a control method. The "computer" includes any electronic device (which may be a processor included in the electronic device), and may be composed of a plurality of electronic devices.
コンピュータが、
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する、
制御方法である。なお、「コンピュータ」は、あらゆる電子機器(電子機器に含まれるプロセッサであってもよい)を含み、かつ、複数の電子機器により構成されてもよい。 One aspect of the control method is
The computer
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
The mental state of the subject is estimated based on the base type and the estimation result of the stress state.
It is a control method. The "computer" includes any electronic device (which may be a processor included in the electronic device), and may be composed of a plurality of electronic devices.
記憶媒体の一の態様は、
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する処理をコンピュータに実行させるプログラムが格納された記憶媒体である。 One aspect of the storage medium is
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
It is a storage medium in which a program for causing a computer to execute a process of estimating the mental state of the subject based on the base type and the estimation result of the stress state is stored.
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する処理をコンピュータに実行させるプログラムが格納された記憶媒体である。 One aspect of the storage medium is
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
It is a storage medium in which a program for causing a computer to execute a process of estimating the mental state of the subject based on the base type and the estimation result of the stress state is stored.
本開示によれば、被検者のメンタル状態を好適に推定することができる。
According to the present disclosure, the mental state of the subject can be suitably estimated.
以下、図面を参照しながら、情報処理装置、制御方法及び記憶媒体の実施形態について説明する。
Hereinafter, embodiments of an information processing device, a control method, and a storage medium will be described with reference to the drawings.
<第1実施形態>
(1)システム構成
図1は、第1実施形態に係るメンタル状態推定システム100の概略構成を示す。メンタル状態推定システム100は、対象者のメンタル状態を推定し、推定結果の可視化を行う。ここで、「対象者」は、組織によりメンタル状態の管理が行われるスポーツ選手又は従業員であってもよく、個人のユーザであってもよい。また、「メンタル状態」は、対象者の心の状態(心理状態、精神状態)を指し、例えば、課題に対する態度・姿勢の傾向、物事への反応の傾向、他人に対する態度・姿勢の傾向等を指す。 <First Embodiment>
(1) System Configuration Figure 1 shows a schematic configuration of the mentalstate estimation system 100 according to the first embodiment. The mental state estimation system 100 estimates the mental state of the subject and visualizes the estimation result. Here, the "target person" may be an athlete or an employee whose mental state is managed by the organization, or may be an individual user. In addition, "mental state" refers to the mental state (psychological state, mental state) of the subject, for example, the tendency of attitude / posture toward a task, the tendency of reaction to things, the tendency of attitude / posture toward others, etc. Point to.
(1)システム構成
図1は、第1実施形態に係るメンタル状態推定システム100の概略構成を示す。メンタル状態推定システム100は、対象者のメンタル状態を推定し、推定結果の可視化を行う。ここで、「対象者」は、組織によりメンタル状態の管理が行われるスポーツ選手又は従業員であってもよく、個人のユーザであってもよい。また、「メンタル状態」は、対象者の心の状態(心理状態、精神状態)を指し、例えば、課題に対する態度・姿勢の傾向、物事への反応の傾向、他人に対する態度・姿勢の傾向等を指す。 <First Embodiment>
(1) System Configuration Figure 1 shows a schematic configuration of the mental
メンタル状態推定システム100は、主に、情報処理装置1と、入力装置2と、表示装置3と、記憶装置4と、センサ5とを備える。
The mental state estimation system 100 mainly includes an information processing device 1, an input device 2, a display device 3, a storage device 4, and a sensor 5.
情報処理装置1は、通信網を介し、又は、無線若しくは有線による直接通信により、入力装置2、表示装置3、及びセンサ5とデータ通信を行う。そして、情報処理装置1は、入力装置2から供給される入力信号「S1」、センサ5から供給されるセンサ信号「S3」、及び記憶装置4に記憶された情報に基づいて、対象者のメンタル状態の推定等を行う。また、情報処理装置1は、対象者のメンタル状態の推定結果等に基づき表示信号「S2」を生成し、生成した表示信号S2を表示装置3に供給する。
The information processing device 1 performs data communication with the input device 2, the display device 3, and the sensor 5 via a communication network or by direct communication by wireless or wired. Then, the information processing device 1 is mental of the subject based on the input signal "S1" supplied from the input device 2, the sensor signal "S3" supplied from the sensor 5, and the information stored in the storage device 4. Estimate the state, etc. Further, the information processing device 1 generates a display signal "S2" based on an estimation result of the mental state of the target person, and supplies the generated display signal S2 to the display device 3.
入力装置2は、各対象者に関する情報のユーザ入力(手入力)を受け付けるインターフェースである。なお、入力装置2を用いて情報の入力を行うユーザは、対象者本人であってもよく、対象者の活動を管理又は監督する者であってもよい。入力装置2は、例えば、タッチパネル、ボタン、キーボード、マウス、音声入力装置などの種々のユーザ入力用インターフェースであってもよい。入力装置2は、ユーザの入力に基づき生成した入力信号S1を、情報処理装置1へ供給する。表示装置3は、情報処理装置1から供給される表示信号S2に基づき、所定の情報を表示する。表示装置3は、例えば、ディスプレイ又はプロジェクタ等である。
The input device 2 is an interface that accepts user input (manual input) of information about each target person. The user who inputs information using the input device 2 may be the target person himself / herself, or may be a person who manages or supervises the activities of the target person. The input device 2 may be various user input interfaces such as a touch panel, a button, a keyboard, a mouse, and a voice input device. The input device 2 supplies the input signal S1 generated based on the user's input to the information processing device 1. The display device 3 displays predetermined information based on the display signal S2 supplied from the information processing device 1. The display device 3 is, for example, a display or a projector.
センサ5は、対象者の生体信号等を測定し、測定した生体信号等を、センサ信号S3として情報処理装置1へ供給する。この場合、センサ信号S3は、対象者の心拍、脳波、発汗量、ホルモン分泌量、脳血流、血圧、体温、筋電、呼吸数などの任意の生体信号(バイタル情報を含む)であってもよい。また、センサ5は、対象者から採取された血液を分析し、その分析結果を示すセンサ信号S3を出力する装置であってもよい。また、センサ5は、対象者が装着するウェアラブル端末であってもよく、対象者を撮影するカメラ又は対象者の発話の音声信号を生成するマイク等であってもよい。
The sensor 5 measures the biological signal of the subject and supplies the measured biological signal or the like to the information processing apparatus 1 as the sensor signal S3. In this case, the sensor signal S3 is an arbitrary biological signal (including vital information) such as the subject's heartbeat, brain wave, sweating amount, hormone secretion amount, cerebral blood flow, blood pressure, body temperature, myoelectricity, and respiratory rate. May be good. Further, the sensor 5 may be a device that analyzes blood collected from the subject and outputs a sensor signal S3 indicating the analysis result. Further, the sensor 5 may be a wearable terminal worn by the target person, or may be a camera for photographing the target person, a microphone for generating an audio signal of the target person's utterance, or the like.
記憶装置4は、メンタル状態の推定等に必要な各種情報を記憶するメモリである。記憶装置4は、情報処理装置1に接続又は内蔵されたハードディスクなどの外部記憶装置であってもよく、フラッシュメモリなどの記憶媒体であってもよい。また、記憶装置4は、情報処理装置1とデータ通信を行うサーバ装置であってもよい。また、記憶装置4は、複数の装置から構成されてもよい。
The storage device 4 is a memory that stores various information necessary for estimating the mental state and the like. The storage device 4 may be an external storage device such as a hard disk connected to or built in the information processing device 1, or may be a storage medium such as a flash memory. Further, the storage device 4 may be a server device that performs data communication with the information processing device 1. Further, the storage device 4 may be composed of a plurality of devices.
記憶装置4は、ベースタイプ情報40と、推定ストレス情報41と、メンタル状態関係情報42と、アドバイス情報43とを有している。
The storage device 4 has base type information 40, estimated stress information 41, mental state-related information 42, and advice information 43.
ベースタイプ情報40は、対象者のベースタイプを示す情報であり、例えば、対象者の識別情報(対象者ID)と当該対象者のベースタイプを示す識別情報とを関連付けた情報である。ここで、「ベースタイプ」は、対象者の内面に関する基本的なタイプ(カテゴリ)を指し、対象者の年齢、性格、認知の傾向、性別、職業、収入、人種等の少なくともいずれかに基づいて分類(カテゴライズ)される。ベースタイプ情報40は、情報処理装置1により生成されて記憶装置4に記憶されたものであってもよく、情報処理装置1以外の装置により事前に生成されて記憶装置4に記憶されたものであってもよい。
The base type information 40 is information indicating the base type of the target person, and is, for example, information in which the identification information (target person ID) of the target person is associated with the identification information indicating the base type of the target person. Here, the "base type" refers to a basic type (category) related to the inside of the subject, and is based on at least one of the subject's age, personality, cognitive tendency, gender, occupation, income, race, and the like. Is classified (categorized). The base type information 40 may be generated by the information processing device 1 and stored in the storage device 4, or may be generated in advance by a device other than the information processing device 1 and stored in the storage device 4. There may be.
推定ストレス情報41は、情報処理装置1がセンサ信号S3に基づき推定したストレス状態を表す値(「ストレス推定値」とも呼ぶ。)に関する情報である。推定ストレス情報41は、例えば、情報処理装置1が算出したストレス推定値を、推定日時を示す日時情報及び対象者の識別情報(対象者ID)と関連付けたレコードを有するデータベースである。上記の「推定日時」は、推定に用いた信号の生成日時であってもよく、推定を行った日時であってもよい。
The estimated stress information 41 is information related to a value (also referred to as a "stress estimated value") representing a stress state estimated by the information processing apparatus 1 based on the sensor signal S3. The estimated stress information 41 is, for example, a database having a record in which the stress estimated value calculated by the information processing apparatus 1 is associated with the date and time information indicating the estimated date and time and the identification information (target person ID) of the target person. The above "estimated date and time" may be the generation date and time of the signal used for the estimation, or may be the date and time when the estimation was performed.
メンタル状態関係情報42は、メンタル状態と他の要素(具体的には、ストレス状態及びベースタイプ)との関係を表す情報である。メンタル状態関係情報42は、例えば、ストレス推定値及びベースタイプの組み合わせ毎に対応するメンタル状態を示すテーブル情報である。メンタル状態関係情報42の具体例については、図4を参照して後述する。
The mental state relationship information 42 is information representing the relationship between the mental state and other elements (specifically, the stress state and the base type). The mental state relationship information 42 is, for example, table information indicating the mental state corresponding to each combination of the stress estimated value and the base type. A specific example of the mental state-related information 42 will be described later with reference to FIG.
アドバイス情報43は、対象者に向けたアドバイスに関する情報である。アドバイス情報43は、例えば、メンタル状態毎に適したアドバイスを記録したデータベースである。アドバイス情報43は、メンタル状態と対象者の属性(性別、職業、年齢等)との組み合わせに応じたアドバイスを記録した情報であってもよい。
The advice information 43 is information regarding advice for the target person. The advice information 43 is, for example, a database in which advice suitable for each mental state is recorded. The advice information 43 may be information recording advice according to the combination of the mental state and the attributes (gender, occupation, age, etc.) of the subject.
なお、図1に示すメンタル状態推定システム100の構成は一例であり、当該構成に種々の変更が行われてもよい。例えば、入力装置2及び表示装置3は、一体となって構成されてもよい。この場合、入力装置2及び表示装置3は、情報処理装置1と一体又は別体となるタブレット型端末として構成されてもよい。また、入力装置2とセンサ5とは、一体となって構成されてもよい。また、情報処理装置1は、複数の装置から構成されてもよい。この場合、情報処理装置1を構成する複数の装置は、予め割り当てられた処理を実行するために必要な情報の授受を、これらの複数の装置間において行う。この場合、情報処理装置1は、情報処理システムとして機能する。
The configuration of the mental state estimation system 100 shown in FIG. 1 is an example, and various changes may be made to the configuration. For example, the input device 2 and the display device 3 may be integrally configured. In this case, the input device 2 and the display device 3 may be configured as a tablet-type terminal integrated with or separate from the information processing device 1. Further, the input device 2 and the sensor 5 may be integrally configured. Further, the information processing device 1 may be composed of a plurality of devices. In this case, the plurality of devices constituting the information processing device 1 exchange information necessary for executing the pre-assigned process among the plurality of devices. In this case, the information processing apparatus 1 functions as an information processing system.
(2)情報処理装置のハードウェア構成
図2は、情報処理装置1のハードウェア構成を示す。情報処理装置1は、ハードウェアとして、プロセッサ11と、メモリ12と、インターフェース13とを含む。プロセッサ11、メモリ12及びインターフェース13は、データバス19を介して接続されている。 (2) Hardware Configuration of Information Processing Device FIG. 2 shows the hardware configuration of theinformation processing device 1. The information processing apparatus 1 includes a processor 11, a memory 12, and an interface 13 as hardware. The processor 11, the memory 12, and the interface 13 are connected via the data bus 19.
図2は、情報処理装置1のハードウェア構成を示す。情報処理装置1は、ハードウェアとして、プロセッサ11と、メモリ12と、インターフェース13とを含む。プロセッサ11、メモリ12及びインターフェース13は、データバス19を介して接続されている。 (2) Hardware Configuration of Information Processing Device FIG. 2 shows the hardware configuration of the
プロセッサ11は、メモリ12に記憶されているプログラムを実行することにより、情報処理装置1の全体の制御を行うコントローラ(演算装置)として機能する。プロセッサ11は、例えば、CPU(Central Processing Unit)、GPU(Graphics Processing Unit)、TPU(Tensor Processing Unit)、量子プロセッサなどのプロセッサである。プロセッサ11は、複数のプロセッサから構成されてもよい。プロセッサ11は、コンピュータの一例である。
The processor 11 functions as a controller (arithmetic unit) that controls the entire information processing device 1 by executing a program stored in the memory 12. The processor 11 is, for example, a processor such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a TPU (Tensor Processing Unit), or a quantum processor. The processor 11 may be composed of a plurality of processors. The processor 11 is an example of a computer.
メモリ12は、RAM(Random Access Memory)、ROM(Read Only Memory)、フラッシュメモリなどの各種の揮発性メモリ及び不揮発性メモリにより構成される。また、メモリ12には、情報処理装置1が実行する処理を実行するためのプログラムが記憶される。なお、メモリ12が記憶する情報の一部は、情報処理装置1と通信可能な1又は複数の外部記憶装置により記憶されてもよく、情報処理装置1に対して着脱自在な記憶媒体により記憶されてもよい。
The memory 12 is composed of various volatile memories such as a RAM (Random Access Memory), a ROM (Read Only Memory), and a flash memory, and a non-volatile memory. Further, the memory 12 stores a program for executing the process executed by the information processing apparatus 1. A part of the information stored in the memory 12 may be stored by one or a plurality of external storage devices that can communicate with the information processing device 1, and is stored by a storage medium that can be attached to and detached from the information processing device 1. You may.
インターフェース13は、情報処理装置1と他の装置とを電気的に接続するためのインターフェースである。これらのインターフェースは、他の装置とデータの送受信を無線により行うためのネットワークアダプタなどのワイアレスインタフェースであってもよく、他の装置とケーブル等により接続するためのハードウェアインターフェースであってもよい。
The interface 13 is an interface for electrically connecting the information processing device 1 and another device. These interfaces may be wireless interfaces such as network adapters for wirelessly transmitting and receiving data to and from other devices, and may be hardware interfaces for connecting to other devices by cables or the like.
なお、情報処理装置1のハードウェア構成は、図2に示す構成に限定されない。例えば、情報処理装置1は、入力装置2又は表示装置3の少なくとも一方を含んでもよい。また、情報処理装置1は、スピーカなどの音出力装置と接続又は内蔵してもよい。
The hardware configuration of the information processing device 1 is not limited to the configuration shown in FIG. For example, the information processing device 1 may include at least one of the input device 2 and the display device 3. Further, the information processing device 1 may be connected to or built in a sound output device such as a speaker.
(3)機能ブロック
図3は、情報処理装置1の機能ブロックの一例である。情報処理装置1のプロセッサ11は、機能的には、ベースタイプ判定部14と、ストレス状態推定部15と、メンタル状態推定部16と、表示制御部17とを有する。なお、図3では、データの授受が行われるブロック同士を実線により結んでいるが、データの授受が行われるブロックの組合せは図3に限定されない。後述する他の機能ブロックの図においても同様である。 (3) Functional block FIG. 3 is an example of a functional block of theinformation processing apparatus 1. The processor 11 of the information processing unit 1 functionally includes a base type determination unit 14, a stress state estimation unit 15, a mental state estimation unit 16, and a display control unit 17. In FIG. 3, the blocks in which data is exchanged are connected by a solid line, but the combination of blocks in which data is exchanged is not limited to FIG. The same applies to the figures of other functional blocks described later.
図3は、情報処理装置1の機能ブロックの一例である。情報処理装置1のプロセッサ11は、機能的には、ベースタイプ判定部14と、ストレス状態推定部15と、メンタル状態推定部16と、表示制御部17とを有する。なお、図3では、データの授受が行われるブロック同士を実線により結んでいるが、データの授受が行われるブロックの組合せは図3に限定されない。後述する他の機能ブロックの図においても同様である。 (3) Functional block FIG. 3 is an example of a functional block of the
ベースタイプ判定部14は、対象者の入力装置2への入力により生成された入力信号S1に基づき、対象者のベースタイプを判定する。この場合、例えば、ベースタイプ判定部14は、アンケートの回答内容を示す入力信号S1を、インターフェース13を介して入力装置2から受信することで、対象者のベースタイプを判定する。このアンケートは、例えば、対象者の年齢、性格、認知の傾向(即ちどのような状況にどう反応する傾向があるか)等の少なくともいずれかに関する質問であって、生体データからは推定しにくい質問から構成される。このような質問の回答に基づき回答者の性格等を判定するものとして、例えば主要5因子性格検査などが存在する。この場合、ベースタイプ判定部14又は表示制御部17は、例えば、質問及び回答の選択肢を表示するための表示信号S2を、インターフェース13を介して表示装置3に送信することで、質問の選択肢を対象者に選択可能に表示する。なお、アンケートの回答内容からベースタイプを判定するために必要な情報は、記憶装置4又はメモリ12に予め記憶されている。
The base type determination unit 14 determines the base type of the target person based on the input signal S1 generated by the input to the input device 2 of the target person. In this case, for example, the base type determination unit 14 determines the base type of the target person by receiving the input signal S1 indicating the answer content of the questionnaire from the input device 2 via the interface 13. This questionnaire is, for example, a question about at least one of the subject's age, personality, cognitive tendency (that is, what kind of situation and how they tend to react), and is difficult to estimate from biometric data. Consists of. For example, there is a major five-factor personality test as a means of determining the personality of a respondent based on the answer to such a question. In this case, the base type determination unit 14 or the display control unit 17 selects the question option by, for example, transmitting the display signal S2 for displaying the question and answer options to the display device 3 via the interface 13. Display to the target person in a selectable manner. Information necessary for determining the base type from the contents of the questionnaire answers is stored in advance in the storage device 4 or the memory 12.
このように、ベースタイプ判定部14は、アンケート結果などの被検者の主観的な情報である主観情報(主観値又は主観的測定値)に基づき、好適に対象者のベースタイプを判定することができる。ベースタイプ判定部14は、判定したベースタイプを、対象者の対象者IDと関連付けてベースタイプ情報40に記録する。
In this way, the base type determination unit 14 preferably determines the base type of the subject based on the subjective information (subjective value or subjective measurement value) which is the subjective information of the subject such as the questionnaire result. Can be done. The base type determination unit 14 records the determined base type in the base type information 40 in association with the target person ID of the target person.
なお、ベースタイプ判定部14は、アンケート結果などの主観情報に限らず、被検者から検出した客観的な情報である客観情報(客観値又は客観的測定値)に基づきベースタイプを判定してもよい。例えば、ベースタイプ判定部14は、対象者の歩行量(活動量)をGPSなどの位置情報に基づき推定し、推定した歩行量に基づき対象者が活動的であるか否か等を判定することで、対象者のベースタイプを決定する。他の例では、ベースタイプ判定部14は、対象者の会話が含まれる音声データから任意の音声認識技術に基づき対象者が発した単語を抽出し、抽出した単語に基づきベースタイプを決定する。この場合、word2vecなどの任意の自然言語処理手法が用いられてもよい。さらに別の例では、ベースタイプ判定部14は、対象者が事前にシステムに登録した情報に含まれる年齢、性別、職業、収入、人種等に基づき、対象者のベースタイプを判定してもよい。
The base type determination unit 14 determines the base type based on objective information (objective value or objective measurement value) which is objective information detected from the subject, not limited to subjective information such as questionnaire results. May be good. For example, the base type determination unit 14 estimates the walking amount (activity amount) of the target person based on the position information such as GPS, and determines whether or not the target person is active based on the estimated walking amount. To determine the base type of the target person. In another example, the base type determination unit 14 extracts a word uttered by the subject based on an arbitrary voice recognition technique from the voice data including the conversation of the subject, and determines the base type based on the extracted word. In this case, any natural language processing method such as word2vec may be used. In yet another example, even if the base type determination unit 14 determines the base type of the subject based on the age, gender, occupation, income, race, etc. included in the information registered in the system in advance by the subject. good.
ストレス状態推定部15は、センサ信号S3に基づき、被検者である対象者の推定されるストレスの度合いであるストレス推定値を算出する。なお、生体データ等からストレス推定値を算出する手法は種々存在し、ストレス状態推定部15は、これらのいずれの手法によってストレス推定値を算出してもよい。なお、センサ信号S3からストレス推定値を算出するために必要な情報(例えば算出モデルのパラメータ等)は、記憶装置4又はメモリ12に予め記憶されている。ストレス状態推定部15は、算出したストレス推定値を、対象者の対象者ID及び推定日時と関連付けて推定ストレス情報41に記録する。
The stress state estimation unit 15 calculates a stress estimated value, which is the estimated degree of stress of the subject who is the subject, based on the sensor signal S3. There are various methods for calculating the stress estimated value from biological data and the like, and the stress state estimation unit 15 may calculate the stress estimated value by any of these methods. Information necessary for calculating the stress estimated value from the sensor signal S3 (for example, parameters of the calculation model) is stored in advance in the storage device 4 or the memory 12. The stress state estimation unit 15 records the calculated stress estimated value in the estimated stress information 41 in association with the subject ID of the subject and the estimated date and time.
メンタル状態推定部16は、ベースタイプ情報40が示す対象者のベースタイプと、推定ストレス情報41が示す対象者の推定ストレス値とに基づき、メンタル状態関係情報42を用いて、対象者のメンタル状態を推定する。メンタル状態推定部16を用いたメンタル状態の推定方法については後述する。
The mental state estimation unit 16 uses the mental state-related information 42 based on the base type of the subject indicated by the base type information 40 and the estimated stress value of the subject indicated by the estimated stress information 41, and uses the mental state of the subject. To estimate. The method of estimating the mental state using the mental state estimation unit 16 will be described later.
表示制御部17は、メンタル状態推定部16が推定した対象者のメンタル状態に関する表示制御を行う。具体的には、表示制御部17は、対象者のメンタル状態の推定結果等に基づき、対象者のメンタル状態に関する確認画面(「メンタル状態確認画面」とも呼ぶ。)の表示信号S2を生成する。そして、表示制御部17は、生成した表示信号S2を、インターフェース13を介して表示装置3に供給する。表示装置3に表示させるメンタル状態確認画面については後述する。なお、表示装置3に表示されたメンタル状態確認画面の閲覧者は、例えば、対象者であってもよく、対象者を管理又は監督する者であってもよい。
The display control unit 17 performs display control regarding the mental state of the target person estimated by the mental state estimation unit 16. Specifically, the display control unit 17 generates a display signal S2 of a confirmation screen (also referred to as a “mental state confirmation screen”) regarding the mental state of the target person based on the estimation result of the mental state of the target person. Then, the display control unit 17 supplies the generated display signal S2 to the display device 3 via the interface 13. The mental state confirmation screen to be displayed on the display device 3 will be described later. The viewer of the mental state confirmation screen displayed on the display device 3 may be, for example, a target person or a person who manages or supervises the target person.
なお、図3において説明したベースタイプ判定部14、ストレス状態推定部15、メンタル状態推定部16及び表示制御部17の各構成要素は、例えば、プロセッサ11がプログラムを実行することによって実現できる。また、必要なプログラムを任意の不揮発性記憶媒体に記録しておき、必要に応じてインストールすることで、各構成要素を実現するようにしてもよい。なお、これらの各構成要素の少なくとも一部は、プログラムによるソフトウェアで実現することに限ることなく、ハードウェア、ファームウェア、及びソフトウェアのうちのいずれかの組合せ等により実現してもよい。また、これらの各構成要素の少なくとも一部は、例えばFPGA(Field-Programmable Gate Array)又はマイクロコントローラ等の、ユーザがプログラミング可能な集積回路を用いて実現してもよい。この場合、この集積回路を用いて、上記の各構成要素から構成されるプログラムを実現してもよい。また、各構成要素の少なくとも一部は、ASSP(Application Specific Standard Produce)、ASIC(Application Specific Integrated Circuit)又は量子プロセッサ(量子コンピュータ制御チップ)により構成されてもよい。このように、各構成要素は、種々のハードウェアにより実現されてもよい。以上のことは、後述する他の実施の形態においても同様である。さらに、これらの各構成要素は、例えば、クラウドコンピューティング技術などを用いて、複数のコンピュータの協働によって実現されてもよい。
Each component of the base type determination unit 14, the stress state estimation unit 15, the mental state estimation unit 16, and the display control unit 17 described with reference to FIG. 3 can be realized, for example, by the processor 11 executing a program. Further, each component may be realized by recording a necessary program in an arbitrary non-volatile storage medium and installing it as needed. It should be noted that at least a part of each of these components is not limited to being realized by software by a program, but may be realized by any combination of hardware, firmware, and software. Further, at least a part of each of these components may be realized by using a user-programmable integrated circuit such as an FPGA (Field-Programmable Gate Array) or a microcontroller. In this case, this integrated circuit may be used to realize a program composed of each of the above components. Further, at least a part of each component may be configured by an ASIC (Application Specific Standard Produce), an ASIC (Application Specific Integrated Circuit), or a quantum processor (quantum computer control chip). As described above, each component may be realized by various hardware. The above is the same in other embodiments described later. Further, each of these components may be realized by the collaboration of a plurality of computers by using, for example, cloud computing technology.
(4)メンタル状態の推定
次に、メンタル状態推定部16によるメンタル状態の推定方法の詳細について説明する。 (4) Mental state estimation Next, the details of the mental state estimation method by the mentalstate estimation unit 16 will be described.
次に、メンタル状態推定部16によるメンタル状態の推定方法の詳細について説明する。 (4) Mental state estimation Next, the details of the mental state estimation method by the mental
図4は、メンタル状態関係情報42のデータ構造の一例である。図4に示すメンタル状態関係情報42は、ストレス推定値とベースタイプとの組み合わせの各々に対応するテーブルとなっている。ここでは、一例として、ベースタイプは、ローマ字(X~Z、…)の識別記号と対応するベースタイプの簡易説明(ポジティブ思考、ネガティブ思考、引っ込み思案、…)との組み合わせにより表されている。また、ストレス推定値は、5段階(低、やや低、中、やや高、高)に分類されている。なお、各段階に該当するストレス推定値の値域の情報は、予め記憶装置4又はメモリ12等に記憶されている。
FIG. 4 is an example of the data structure of the mental state-related information 42. The mental state relationship information 42 shown in FIG. 4 is a table corresponding to each combination of the stress estimated value and the base type. Here, as an example, the base type is represented by a combination of an identification symbol of Roman letters (X to Z, ...) And a brief explanation of the corresponding base type (positive thinking, negative thinking, withdrawal thinking, ...). In addition, stress estimates are classified into five stages (low, slightly low, medium, slightly high, and high). Information in the range of stress estimates corresponding to each stage is stored in advance in the storage device 4 or the memory 12.
この場合、メンタル状態推定部16は、図4に示すメンタル状態関係情報42を参照することで、対象者のベースタイプと対象者のストレス推定値とから、対応するメンタル状態を決定する。
In this case, the mental state estimation unit 16 determines the corresponding mental state from the base type of the target person and the stress estimated value of the target person by referring to the mental state relationship information 42 shown in FIG.
例えば、メンタル状態推定部16は、対象者のベースタイプが「X:ポジティブ思考」であり、かつ、対象者のストレス推定値が「低」に属する場合、対象者のメンタル状態が「チャレンジングな状態」であると認識する。他の例では、メンタル状態推定部16は、対象者のベースタイプが「Y:ネガティブ思考」であり、かつ、対象者のストレス推定値が「高」に属する場合、対象者のメンタル状態が「閉じこもり状態」であると認識する。
For example, in the mental state estimation unit 16, when the base type of the subject is "X: positive thinking" and the stress estimation value of the subject belongs to "low", the mental state of the subject is "challenge". Recognize that it is a "state". In another example, in the mental state estimation unit 16, when the base type of the subject is "Y: negative thinking" and the stress estimation value of the subject belongs to "high", the mental state of the subject is "". Recognize that it is in a closed state.
このように、メンタル状態推定部16は、メンタル状態関係情報42を参照することで、対象者のベースタイプとストレス推定値とに基づき、対象者のメンタル状態を好適に推定することができる。
As described above, the mental state estimation unit 16 can suitably estimate the mental state of the subject based on the base type of the subject and the stress estimation value by referring to the mental state relationship information 42.
なお、メンタル状態関係情報42は、図4に示すようなテーブル情報であることに限定されず、ベースタイプとストレス状態とメンタル状態との関係を推論する推論器の情報であってもよい。この場合、推論器は、例えば、ベースタイプとストレス推定値とが入力された場合に、対応するメンタル状態を識別する情報を出力するように学習されたモデルである。この場合、推論器は、ベースタイプとストレス推定値とメンタル状態との適切な組み合わせからなる学習データセットに基づき予め学習され、学習により得られた推論器のパラメータがメンタル状態関係情報42として記憶装置4に記憶される。推論器のモデルは、ニューラルネットワーク、サポートベクターマシンなどの任意の機械学習のモデルであってもよい。そして、この場合、メンタル状態推定部16は、メンタル状態関係情報42を参照することで上述の推論器を構成し、対象のベースタイプとストレス推定値を推論器に入力することで、対象者のメンタル状態を推定する。
The mental state relationship information 42 is not limited to the table information as shown in FIG. 4, and may be information of an inference device that infers the relationship between the base type, the stress state, and the mental state. In this case, the inferior is, for example, a model trained to output information identifying the corresponding mental state when a base type and a stress estimate are input. In this case, the inferior is pre-learned based on a learning data set consisting of an appropriate combination of the base type, the stress estimate, and the mental state, and the parameters of the inferior obtained by the learning are stored as the mental state-related information 42. It is stored in 4. The inferior model may be any machine learning model such as a neural network or a support vector machine. Then, in this case, the mental state estimation unit 16 configures the above-mentioned inference device by referring to the mental state relationship information 42, and inputs the target base type and the stress estimation value to the inference device to input the target person's base type and stress estimation value to the inference device. Estimate the mental state.
次に、メンタル状態の推定に用いるストレス推定値について説明する。
Next, the stress estimate used for estimating the mental state will be described.
メンタル状態推定部16は、ストレス状態推定部15が推定した最新の(又はメンタル状態の推定対象となる時点の)ストレス推定値に基づきメンタル状態の推定を行ってもよく、異なる時点での複数のストレス推定値に基づきメンタル状態の推定を行ってもよい。
The mental state estimation unit 16 may estimate the mental state based on the latest stress estimation value estimated by the stress state estimation unit 15 (or at the time when the mental state is to be estimated), and may perform a plurality of mental state estimations at different time points. The mental state may be estimated based on the stress estimate.
前者の場合、メンタル状態推定部16は、1個のストレス推定値を推定ストレス情報41から抽出し、ベースタイプ情報40が示す対象者のベースタイプとの組み合わせに基づき、抽出したストレス推定値の推定時点でのメンタル状態を推定する。これにより、メンタル状態推定部16は、メンタル状態の推定対象となる時点での対象者のストレス状態を的確に反映したメンタル状態を推定する。
In the former case, the mental state estimation unit 16 extracts one stress estimated value from the estimated stress information 41, and estimates the extracted stress estimated value based on the combination with the base type of the subject indicated by the base type information 40. Estimate the mental state at the time. As a result, the mental state estimation unit 16 estimates the mental state that accurately reflects the stress state of the subject at the time when the mental state is to be estimated.
後者の場合、メンタル状態推定部16は、例えば対象者の最新の所定個数分のストレス推定値を推定ストレス情報41から抽出し、ベースタイプ情報40が示す対象者のベースタイプとの組み合わせに基づき、各ストレス推定値に対応する所定個数分のメンタル状態を決定する。「所定個数分のストレス推定値」は、例えば直近の所定期間(例えば1週間又は1か月)内に推定された対象者のストレス推定値である。そして、メンタル状態推定部16は、ストレス推定値の各々に対して決定したメンタル状態から、対象者の代表的なメンタル状態を決定する。この場合、メンタル状態推定部16は、ストレス推定値の各々に対して決定したメンタル状態の集計結果に基づき、最も多いメンタル状態等を、代表的なメンタル状態として決定する。そして、メンタル状態推定部16は、代表的なメンタル状態を、対象者のメンタル状態として推定する。この例では、メンタル状態推定部16は、対象者のストレス状態の最近の傾向を的確に反映したメンタル状態を好適に推定することができる。
In the latter case, the mental state estimation unit 16 extracts, for example, the latest predetermined number of stress estimates of the subject from the estimated stress information 41, and based on the combination with the base type of the subject indicated by the base type information 40, for example. A predetermined number of mental states corresponding to each stress estimate are determined. The "estimated stress value for a predetermined number" is, for example, an estimated stress value of a subject estimated within the latest predetermined period (for example, one week or one month). Then, the mental state estimation unit 16 determines a representative mental state of the subject from the mental states determined for each of the stress estimated values. In this case, the mental state estimation unit 16 determines the most common mental state and the like as a representative mental state based on the aggregated result of the mental states determined for each of the stress estimated values. Then, the mental state estimation unit 16 estimates a typical mental state as the mental state of the subject. In this example, the mental state estimation unit 16 can suitably estimate the mental state that accurately reflects the recent tendency of the stress state of the subject.
(5)メンタル状態確認画面
図5は、第1実施形態におけるメンタル状態確認画面の表示例を示す。表示制御部17は、メンタル状態推定部16が推定した対象者のメンタル状態等に基づき表示信号S2を生成し、生成した表示信号S2を表示装置3に供給することで、表示装置3にメンタル状態確認画面を表示させている。表示制御部17は、主に、メンタル状態確認画面上において、ベースタイプ表示領域51と、ストレス遷移表示領域52と、メンタル状態表示領域53と、アドバイス表示領域54とを設けている。 (5) Mental state confirmation screen FIG. 5 shows a display example of the mental state confirmation screen in the first embodiment. Thedisplay control unit 17 generates a display signal S2 based on the mental state of the target person estimated by the mental state estimation unit 16, and supplies the generated display signal S2 to the display device 3, thereby causing the display device 3 to have a mental state. A confirmation screen is displayed. The display control unit 17 mainly provides a base type display area 51, a stress transition display area 52, a mental state display area 53, and an advice display area 54 on the mental state confirmation screen.
図5は、第1実施形態におけるメンタル状態確認画面の表示例を示す。表示制御部17は、メンタル状態推定部16が推定した対象者のメンタル状態等に基づき表示信号S2を生成し、生成した表示信号S2を表示装置3に供給することで、表示装置3にメンタル状態確認画面を表示させている。表示制御部17は、主に、メンタル状態確認画面上において、ベースタイプ表示領域51と、ストレス遷移表示領域52と、メンタル状態表示領域53と、アドバイス表示領域54とを設けている。 (5) Mental state confirmation screen FIG. 5 shows a display example of the mental state confirmation screen in the first embodiment. The
図5の例では、表示制御部17は、ベースタイプ情報40を参照し、ベースタイプ表示領域51に対象者のベースタイプ「X:ネガティブ思考」を表示している。また、表示制御部17は、推定ストレス情報41を参照し、対象者の直近の一週間分のストレス推定値(ストレスレベル)の遷移を示すグラフを、ストレス遷移表示領域52に表示している。
In the example of FIG. 5, the display control unit 17 refers to the base type information 40 and displays the base type “X: negative thinking” of the subject in the base type display area 51. Further, the display control unit 17 refers to the estimated stress information 41 and displays a graph showing the transition of the stress estimated value (stress level) for the latest week of the subject in the stress transition display area 52.
さらに、表示制御部17は、メンタル状態推定部16が推定した対象者のメンタル状態を、メンタル状態表示領域53に表示している。ここでは、表示制御部17は、図4に示すメンタル状態関係情報42を参照し、ベースタイプ「X:ネガティブ思考」及びストレス推定値「高」に紐付いたメンタル状態「閉じこもり状態」を対象者のメンタル状態として定めている。さらに、表示制御部17は、メンタル状態推定部16が推定したメンタル状態に紐付いたアドバイスのテキスト情報をアドバイス情報43から抽出し、抽出したテキスト情報をアドバイス表示領域54に表示している。
Further, the display control unit 17 displays the mental state of the target person estimated by the mental state estimation unit 16 in the mental state display area 53. Here, the display control unit 17 refers to the mental state-related information 42 shown in FIG. 4, and sets the mental state “withdrawn state” associated with the base type “X: negative thinking” and the stress estimated value “high”. It is defined as a mental state. Further, the display control unit 17 extracts the text information of the advice associated with the mental state estimated by the mental state estimation unit 16 from the advice information 43, and displays the extracted text information in the advice display area 54.
表示制御部17は、図5に示すようなメンタル状態確認画面を表示装置3に表示することで、対象者のストレス状態、メンタル状態及びアドバイスを好適に閲覧者に提示することができる。
By displaying the mental state confirmation screen as shown in FIG. 5 on the display device 3, the display control unit 17 can suitably present the stress state, mental state and advice of the target person to the viewer.
(6)処理フロー
図6は、第1実施形態において情報処理装置1が実行するフローチャートの一例である。情報処理装置1は、例えば、図6に示すフローチャートの処理を、対象者を指定したメンタル状態の推定要求を入力信号S1等に基づき検知した場合に実行する。 (6) Processing Flow FIG. 6 is an example of a flowchart executed by theinformation processing apparatus 1 in the first embodiment. The information processing apparatus 1 executes, for example, the processing of the flowchart shown in FIG. 6 when the estimation request of the mental state in which the target person is designated is detected based on the input signal S1 or the like.
図6は、第1実施形態において情報処理装置1が実行するフローチャートの一例である。情報処理装置1は、例えば、図6に示すフローチャートの処理を、対象者を指定したメンタル状態の推定要求を入力信号S1等に基づき検知した場合に実行する。 (6) Processing Flow FIG. 6 is an example of a flowchart executed by the
まず、情報処理装置1は、対象者のベースタイプが既知であるか否か判定する(ステップS11)。この場合、情報処理装置1は、対象者のベースタイプがベースタイプ情報40に登録されているか否か判定する。そして、情報処理装置1は、対象者のベースタイプが既知である場合(ステップS11;Yes)、ステップS13へ処理を移行する。一方、対象者のベースタイプが既知ではない場合(ステップS11;No)、情報処理装置1は、対象者のベースタイプの判定を行う(ステップS12)。この場合、情報処理装置1は、対象者のアンケートの回答等を示す入力信号S1に基づき、対象者のベースタイプを判定し、判定結果に基づきベースタイプ情報40を更新する。
First, the information processing apparatus 1 determines whether or not the base type of the target person is known (step S11). In this case, the information processing apparatus 1 determines whether or not the base type of the target person is registered in the base type information 40. Then, when the base type of the target person is known (step S11; Yes), the information processing apparatus 1 shifts the process to step S13. On the other hand, when the base type of the target person is not known (step S11; No), the information processing apparatus 1 determines the base type of the target person (step S12). In this case, the information processing apparatus 1 determines the base type of the target person based on the input signal S1 indicating the answer to the questionnaire of the target person, and updates the base type information 40 based on the determination result.
次に、情報処理装置1は、対象者を被検者としてセンサ5が出力したセンサ信号S3に基づき、対象者のストレスの推定を行う(ステップS13)。そして、情報処理装置1は、算出したストレス推定値に基づき、推定ストレス情報41を更新する。
Next, the information processing apparatus 1 estimates the stress of the subject based on the sensor signal S3 output by the sensor 5 with the subject as the subject (step S13). Then, the information processing apparatus 1 updates the estimated stress information 41 based on the calculated stress estimated value.
そして、情報処理装置1は、メンタル状態関係情報42を参照し、対象者のベースタイプとストレス推定値とに基づき、対象者のメンタル状態を推定する(ステップS14)。この場合、例えば、情報処理装置1は、直前のステップS13で算出したストレス推定値に基づきメンタル状態を推定する。他の例では、情報処理装置1は、直前のステップS13で算出したストレス推定値を含めた所定個数分の対象者のストレス推定値に基づき夫々特定されるメンタル状態から定めた代表的なメンタル状態を、対象者のメンタル状態として推定してもよい。
Then, the information processing apparatus 1 refers to the mental state-related information 42, and estimates the mental state of the target person based on the base type of the target person and the stress estimation value (step S14). In this case, for example, the information processing apparatus 1 estimates the mental state based on the stress estimated value calculated in the immediately preceding step S13. In another example, the information processing apparatus 1 is a representative mental state determined from the mental states specified respectively based on the stress estimated values of a predetermined number of subjects including the stress estimated values calculated in the immediately preceding step S13. May be estimated as the mental state of the subject.
そして、情報処理装置1は、ステップS14でのメンタル状態の推定結果を出力する(ステップS15)。情報処理装置1は、例えば、ステップS14でのメンタル状態の推定結果等に基づき図5に示すメンタル状態確認画面を表示するための表示信号S2を生成し、生成した表示信号S2を表示装置3に送信する。
Then, the information processing apparatus 1 outputs the estimation result of the mental state in step S14 (step S15). The information processing device 1 generates, for example, a display signal S2 for displaying the mental state confirmation screen shown in FIG. 5 based on the estimation result of the mental state in step S14, and displays the generated display signal S2 on the display device 3. Send.
なお、情報処理装置1は、メンタル状態の推定結果に基づき表示信号S2を生成する代わりに、メンタル状態の推定結果を対象者と対応付けて記憶装置4に記憶してもよい。他の例では、情報処理装置1は、メンタル状態の推定結果を音声出力するための音声データを生成し、生成した音声データを図示しない音出力装置に供給してもよい。
Note that, instead of generating the display signal S2 based on the estimation result of the mental state, the information processing device 1 may store the estimation result of the mental state in the storage device 4 in association with the target person. In another example, the information processing device 1 may generate voice data for voice output of the estimation result of the mental state, and may supply the generated voice data to a sound output device (not shown).
<第2実施形態>
図7は、第2実施形態における情報処理装置1Aの機能ブロック図を示す。第2実施形態における情報処理装置1Aは、対象者のストレス状態を表す指標として急性ストレス推定値と慢性ストレス推定値とを算出し、これらの推定値に基づいて高精度にメンタル状態を推定する。以後では、第1実施形態と同一の構成要素については、適宜同一符号を付し、その説明を省略する。なお、情報処理装置1Aは、図2に示す情報処理装置1のハードウェア構成と同一のハードウェア構成を有するものとする。 <Second Embodiment>
FIG. 7 shows a functional block diagram of theinformation processing apparatus 1A according to the second embodiment. The information processing apparatus 1A in the second embodiment calculates an acute stress estimated value and a chronic stress estimated value as an index showing the stress state of the subject, and estimates the mental state with high accuracy based on these estimated values. Hereinafter, the same components as those in the first embodiment will be appropriately designated with the same reference numerals, and the description thereof will be omitted. It is assumed that the information processing apparatus 1A has the same hardware configuration as the hardware configuration of the information processing apparatus 1 shown in FIG.
図7は、第2実施形態における情報処理装置1Aの機能ブロック図を示す。第2実施形態における情報処理装置1Aは、対象者のストレス状態を表す指標として急性ストレス推定値と慢性ストレス推定値とを算出し、これらの推定値に基づいて高精度にメンタル状態を推定する。以後では、第1実施形態と同一の構成要素については、適宜同一符号を付し、その説明を省略する。なお、情報処理装置1Aは、図2に示す情報処理装置1のハードウェア構成と同一のハードウェア構成を有するものとする。 <Second Embodiment>
FIG. 7 shows a functional block diagram of the
情報処理装置1Aのプロセッサ11は、機能的には、ベースタイプ判定部14と、ストレス状態推定部15Aと、メンタル状態推定部16Aと、表示制御部17とを有する。また、記憶装置4は、主に、ベースタイプ情報40と、急性ストレス情報41aと、慢性ストレス情報41bと、メンタル状態関係情報42Aと、アドバイス情報43と、センサ蓄積情報44とを記憶する。
The processor 11 of the information processing device 1A functionally has a base type determination unit 14, a stress state estimation unit 15A, a mental state estimation unit 16A, and a display control unit 17. Further, the storage device 4 mainly stores the base type information 40, the acute stress information 41a, the chronic stress information 41b, the mental state relationship information 42A, the advice information 43, and the sensor accumulation information 44.
ストレス状態推定部15Aは、センサ蓄積情報44に基づき、対象者の急性ストレス推定値と慢性ストレス推定値とを算出する。ここで、センサ蓄積情報44は、対象者を被検者として生成されたセンサ信号S3を蓄積した情報であり、例えば、対象者IDとセンサ信号S3と当該センサ信号S3の生成日時を示す日時情報とが関連付けられたデータベースである。そして、ストレス状態推定部15は、対象者の急性ストレス推定値を、対象者の最新の状態に対応するセンサ信号S3に基づき算出する。また、ストレス状態推定部15は、対象者の慢性ストレス推定値を、対象者の直近の所定期間(例えば直近1か月)において生成されたセンサ信号S3に基づき算出する。なお、生体データ等から急性又は慢性のストレス推定値を算出する手法は種々存在し、ストレス状態推定部15Aは、これらのいずれの手法によって急性ストレス推定値及び慢性ストレス推定値を算出してもよい。ストレス状態推定部15は、算出した急性ストレス推定値を、対象者の対象者ID及び推定日時と関連付けて急性ストレス情報41aに記録し、算出した慢性ストレス推定値を、対象者の対象者ID及び推定日時と関連付けて慢性ストレス情報41bに記録する。
The stress state estimation unit 15A calculates the acute stress estimation value and the chronic stress estimation value of the subject based on the sensor accumulation information 44. Here, the sensor storage information 44 is information that stores the sensor signal S3 generated with the subject as the subject, and is, for example, date and time information indicating the generation date and time of the target person ID, the sensor signal S3, and the sensor signal S3. Is the associated database. Then, the stress state estimation unit 15 calculates the acute stress estimated value of the subject based on the sensor signal S3 corresponding to the latest state of the subject. Further, the stress state estimation unit 15 calculates the chronic stress estimated value of the subject based on the sensor signal S3 generated in the latest predetermined period (for example, the latest one month) of the subject. There are various methods for calculating acute or chronic stress estimates from biological data and the like, and the stress state estimation unit 15A may calculate acute stress estimates and chronic stress estimates by any of these methods. .. The stress state estimation unit 15 records the calculated acute stress estimated value in the acute stress information 41a in association with the subject ID of the subject and the estimated date and time, and records the calculated chronic stress estimated value in the subject ID of the subject and the subject ID and the estimated date and time. Record in chronic stress information 41b in association with the estimated date and time.
メンタル状態推定部16Aは、ベースタイプ情報40が示す対象者のベースタイプと、急性ストレス情報41aが示す対象者の急性ストレス推定値と、慢性ストレス情報41bが示す対象者の慢性ストレス推定値とに基づき、対象者のメンタル状態を推定する。この場合、メンタル状態関係情報42Aは、例えば、ベースタイプ、急性ストレス推定値及び慢性ストレス推定値の組み合わせ毎に対応するメンタル状態を示したテーブル情報である。他の例では、メンタル状態関係情報42Aは、深層学習等により学習された推論器を構成するためのパラメータ情報であってもよい。この場合、推論器は、ベースタイプ、急性ストレス推定値及び慢性ストレス推定値を入力とした場合に対応するメンタル状態を出力するように学習されたモデルとなる。例えば、メンタル状態関係情報42Aは、最新の急性ストレス推定値及び慢性ストレス推定値に基づき対象者のメンタル状態を推定する。他の例では、メンタル状態関係情報42Aは、複数の推定日時に対応する急性ストレス推定値及び慢性ストレス推定値の複数の組に対して夫々特定されるメンタル状態から定めた代表的なメンタル状態を、対象者のメンタル状態として推定する。
The mental state estimation unit 16A uses the base type of the subject indicated by the base type information 40, the acute stress estimated value of the subject indicated by the acute stress information 41a, and the chronic stress estimated value of the subject indicated by the chronic stress information 41b. Based on this, the mental state of the subject is estimated. In this case, the mental state-related information 42A is, for example, table information showing the mental state corresponding to each combination of the base type, the acute stress estimated value, and the chronic stress estimated value. In another example, the mental state relationship information 42A may be parameter information for constructing an inferior learned by deep learning or the like. In this case, the inferior is a model trained to output the corresponding mental states when the base type, acute stress estimates and chronic stress estimates are input. For example, the mental state-related information 42A estimates the mental state of the subject based on the latest acute stress estimates and chronic stress estimates. In another example, the mental state relationship information 42A determines a representative mental state determined from the mental state specified for each set of acute stress estimates and chronic stress estimates corresponding to multiple estimated dates and times. , Estimated as the mental state of the subject.
表示制御部17Aは、メンタル状態推定部16Aが推定したメンタル状態、及びベースタイプ情報40、急性ストレス情報41a、慢性ストレス情報41b、アドバイス情報43等に基づき、表示装置3の表示制御を行う。表示制御部17Aの具体例については後述する。
The display control unit 17A controls the display of the display device 3 based on the mental state estimated by the mental state estimation unit 16A, the base type information 40, the acute stress information 41a, the chronic stress information 41b, the advice information 43, and the like. A specific example of the display control unit 17A will be described later.
図8は、第2実施形態におけるメンタル状態確認画面の表示例を示す。表示制御部17Aは、メンタル状態推定部16Aが推定した対象者のメンタル状態等に基づき表示信号S2を生成し、生成した表示信号S2を表示装置3に供給することで、表示装置3に図8に示すメンタル状態確認画面を表示させている。表示制御部17Aは、主に、メンタル状態確認画面上において、ベースタイプ表示領域51と、ストレス遷移表示領域52Aと、メンタル状態表示領域53と、アドバイス表示領域54とを設けている。
FIG. 8 shows a display example of the mental state confirmation screen in the second embodiment. The display control unit 17A generates a display signal S2 based on the mental state of the target person estimated by the mental state estimation unit 16A, and supplies the generated display signal S2 to the display device 3, whereby FIG. 8 is shown on the display device 3. The mental status confirmation screen shown in is displayed. The display control unit 17A mainly provides a base type display area 51, a stress transition display area 52A, a mental state display area 53, and an advice display area 54 on the mental state confirmation screen.
図8の例では、表示制御部17Aは、ストレス遷移表示領域52A上において、急性ストレス情報41aに基づく対象者の直近一週間分の急性ストレス推定値のグラフと慢性ストレス情報41bに基づく対象者の直近一週間分の慢性ストレス推定値のグラフとを表示している。これにより、表示制御部17Aは、最近での慢性的又は急性的な対象者のストレス状態の遷移を好適に閲覧者に視認させることができる。
In the example of FIG. 8, the display control unit 17A is a graph of the acute stress estimated value for the latest week of the subject based on the acute stress information 41a and the subject based on the chronic stress information 41b on the stress transition display region 52A. A graph of chronic stress estimates for the last week is displayed. Thereby, the display control unit 17A can preferably make the viewer visually recognize the recent transition of the stress state of the chronic or acute subject.
また、表示制御部17Aは、ベースタイプ情報40に基づく対象者のベースタイプをベースタイプ表示領域51に表示し、メンタル状態推定部16Aが推定したメンタル状態をメンタル状態表示領域53に表示する。さらに、表示制御部17Aは、アドバイス情報43に基づき決定した、対象者のメンタル状態に対応するアドバイスをアドバイス表示領域54に表示する。
Further, the display control unit 17A displays the base type of the target person based on the base type information 40 in the base type display area 51, and displays the mental state estimated by the mental state estimation unit 16A in the mental state display area 53. Further, the display control unit 17A displays the advice corresponding to the mental state of the target person, which is determined based on the advice information 43, in the advice display area 54.
<第3実施形態>
図9は、第3実施形態におけるメンタル状態推定システム100Bの概略構成を示す。第3実施形態に係るメンタル状態推定システム100Bは、サーバクライアントモデルのシステムであり、サーバ装置として機能する情報処理装置1Bが第1実施形態における情報処理装置1又は第2実施形態における情報処理装置1Aの処理を行う。以後では、第1実施形態又は第2実施形態と同一構成要素については、適宜同一符号を付し、その説明を省略する。 <Third Embodiment>
FIG. 9 shows a schematic configuration of the mentalstate estimation system 100B in the third embodiment. The mental state estimation system 100B according to the third embodiment is a system of a server client model, and the information processing device 1B functioning as a server device is the information processing device 1 in the first embodiment or the information processing device 1A in the second embodiment. Process. Hereinafter, the same components as those of the first embodiment or the second embodiment will be appropriately designated by the same reference numerals, and the description thereof will be omitted.
図9は、第3実施形態におけるメンタル状態推定システム100Bの概略構成を示す。第3実施形態に係るメンタル状態推定システム100Bは、サーバクライアントモデルのシステムであり、サーバ装置として機能する情報処理装置1Bが第1実施形態における情報処理装置1又は第2実施形態における情報処理装置1Aの処理を行う。以後では、第1実施形態又は第2実施形態と同一構成要素については、適宜同一符号を付し、その説明を省略する。 <Third Embodiment>
FIG. 9 shows a schematic configuration of the mental
図9に示すように、メンタル状態推定システム100Aは、主に、サーバとして機能する情報処理装置1Bと、記憶装置4と、クライアントとして機能する端末装置8とを有する。情報処理装置1Bと端末装置8とは、ネットワーク7を介してデータ通信を行う。
As shown in FIG. 9, the mental state estimation system 100A mainly includes an information processing device 1B that functions as a server, a storage device 4, and a terminal device 8 that functions as a client. The information processing device 1B and the terminal device 8 perform data communication via the network 7.
端末装置8は、被検者となる利用者(ユーザ)が使用する端末であり、入力機能、表示機能、及び通信機能を有し、図1に示される入力装置2及び表示装置3等として機能する。端末装置8は、例えば、パーソナルコンピュータ、スマートフォンなどのタブレット型端末、PDA(Personal Digital Assistant)などであってもよい。端末装置8は、利用者が装着するウェアラブルセンサなどのセンサ5と電気的に接続し、センサ5が出力する被検者の生体信号等(即ち、図1におけるセンサ信号S3に相当する情報)を、情報処理装置1Bに送信する。また、端末装置8は、アンケートの回答に関するユーザ入力などを受け付け、ユーザ入力により生成された情報(図1における入力信号S1に相当する情報)を、情報処理装置1Bに送信する。
The terminal device 8 is a terminal used by a user (user) who is a subject, has an input function, a display function, and a communication function, and functions as an input device 2 and a display device 3 shown in FIG. do. The terminal device 8 may be, for example, a personal computer, a tablet terminal such as a smartphone, a PDA (Personal Digital Assistant), or the like. The terminal device 8 is electrically connected to a sensor 5 such as a wearable sensor worn by the user, and outputs a biological signal of the subject and the like (that is, information corresponding to the sensor signal S3 in FIG. 1) output by the sensor 5. , Transmit to the information processing device 1B. Further, the terminal device 8 receives user input related to the answer to the questionnaire and transmits the information generated by the user input (information corresponding to the input signal S1 in FIG. 1) to the information processing device 1B.
情報処理装置1Bは、図2に示す情報処理装置1のハードウェア構成と同一のハードウェア構成を有し、情報処理装置1Bのプロセッサ11は、図3又は図7に示される機能ブロックを有する。そして、情報処理装置1Bは、図1における入力信号S1及びセンサ信号S3に相当する情報を、ネットワーク7を介して端末装置8から受信し、ベースタイプの判定、ストレス状態の推定及びメンタル状態の推定に関する処理を実行する。また、情報処理装置1Bは、端末装置8からの表示要求に基づき、図6又は図8に示されるメンタル状態確認画面等を表示するための表示信号を、ネットワーク7を介して端末装置8へ送信する。
The information processing apparatus 1B has the same hardware configuration as the hardware configuration of the information processing apparatus 1 shown in FIG. 2, and the processor 11 of the information processing apparatus 1B has a functional block shown in FIG. 3 or FIG. Then, the information processing apparatus 1B receives the information corresponding to the input signal S1 and the sensor signal S3 in FIG. 1 from the terminal apparatus 8 via the network 7, determines the base type, estimates the stress state, and estimates the mental state. Executes the processing related to. Further, the information processing device 1B transmits a display signal for displaying the mental state confirmation screen or the like shown in FIG. 6 or FIG. 8 to the terminal device 8 via the network 7 based on the display request from the terminal device 8. do.
第3実施形態によれば、被検者が使用する端末から受信する被検者の生体信号やアンケート結果に等に基づき被検者のメンタル状態の推定を行い、被検者に推定結果を端末上において好適に提示することができる。
According to the third embodiment, the mental state of the subject is estimated based on the biological signal of the subject received from the terminal used by the subject, the result of the questionnaire, and the like, and the estimated result is transmitted to the subject to the terminal. Can be suitably presented above.
<第4実施形態>
図10は、第4実施形態における情報処理装置1Xのブロック図である。情報処理装置1Xは、主に、ベースタイプ取得手段14Xと、ストレス状態取得手段15Xと、メンタル状態推定手段16Xとを有する。なお、情報処理装置1Xは、複数の装置により構成されてもよい。 <Fourth Embodiment>
FIG. 10 is a block diagram of theinformation processing apparatus 1X according to the fourth embodiment. The information processing apparatus 1X mainly includes a base type acquisition unit 14X, a stress state acquisition unit 15X, and a mental state estimation unit 16X. The information processing device 1X may be composed of a plurality of devices.
図10は、第4実施形態における情報処理装置1Xのブロック図である。情報処理装置1Xは、主に、ベースタイプ取得手段14Xと、ストレス状態取得手段15Xと、メンタル状態推定手段16Xとを有する。なお、情報処理装置1Xは、複数の装置により構成されてもよい。 <Fourth Embodiment>
FIG. 10 is a block diagram of the
ベースタイプ取得手段14Xは、被検者の基本的なタイプを示すベースタイプを取得する。この場合、ベースタイプ取得手段14Xは、被検者のアンケート結果等に基づきベースタイプを判定することでベースタイプを取得してもよく、情報処理装置1X以外の装置が判定したベースタイプの情報を受信することでベースタイプを取得してもよい。前者の場合、ベースタイプ取得手段14Xは、第1実施形態~第3実施形態におけるベースタイプ判定部14とすることができる。
The base type acquisition means 14X acquires a base type indicating the basic type of the subject. In this case, the base type acquisition means 14X may acquire the base type by determining the base type based on the questionnaire result of the subject or the like, and obtains the information of the base type determined by the device other than the information processing apparatus 1X. The base type may be acquired by receiving. In the former case, the base type acquisition means 14X can be the base type determination unit 14 in the first to third embodiments.
ストレス状態取得手段15Xは、被検者のストレス状態の推定結果を取得する。この場合、ストレス状態取得手段15Xは、被検者の生体信号等に基づき被検者のストレス状態を推定することでストレス状態の推定結果を取得してもよく、情報処理装置1X以外の装置が推定したストレス状態の推定結果を受信することでストレス状態の推定結果を取得してもよい。前者の場合、ストレス状態取得手段15Xは、第1実施形態若しくは第3実施形態におけるストレス状態推定部15、又は、第2実施形態若しくは第3実施形態におけるストレス状態推定部15Aとすることができる。なお、ストレス状態取得手段15Xは、異なる時点における被検者のストレス状態の複数の推定結果を取得してもよい。
The stress state acquisition means 15X acquires the estimation result of the stress state of the subject. In this case, the stress state acquisition means 15X may acquire the stress state estimation result by estimating the stress state of the subject based on the biological signal of the subject, and the device other than the information processing device 1X may acquire the stress state estimation result. The estimation result of the stress state may be acquired by receiving the estimation result of the estimated stress state. In the former case, the stress state acquisition means 15X can be the stress state estimation unit 15 in the first embodiment or the third embodiment, or the stress state estimation unit 15A in the second embodiment or the third embodiment. The stress state acquisition means 15X may acquire a plurality of estimation results of the stress state of the subject at different time points.
メンタル状態推定手段16Xは、ベースタイプと、ストレス状態の推定結果とに基づき、被検者のメンタル状態を推定する。メンタル状態推定手段16Xは、例えば、第1実施形態若しくは第3実施形態におけるメンタル状態推定部16、又は、第2実施形態若しくは第3実施形態におけるメンタル状態推定部16Aとすることができる。
The mental state estimation means 16X estimates the mental state of the subject based on the base type and the estimation result of the stress state. The mental state estimation means 16X can be, for example, the mental state estimation unit 16 in the first embodiment or the third embodiment, or the mental state estimation unit 16A in the second embodiment or the third embodiment.
図11は、第4実施形態において情報処理装置1Xが実行するフローチャートの一例である。まず、ベースタイプ取得手段14Xは、被検者の基本的なタイプを示すベースタイプを取得する(ステップS21)。ストレス状態取得手段15Xは、被検者のストレス状態の推定結果を取得する(ステップS22)。メンタル状態推定手段16Xは、ベースタイプと、ストレス状態の推定結果とに基づき、被検者のメンタル状態を推定する(ステップS23)。
第4実施形態によれば、情報処理装置1Xは、被検者の基本的なタイプを示すベースタイプとストレス状態とに基づき、被検者のメンタル状態を的確に推定することができる。 FIG. 11 is an example of a flowchart executed by theinformation processing apparatus 1X in the fourth embodiment. First, the base type acquisition means 14X acquires a base type indicating the basic type of the subject (step S21). The stress state acquisition means 15X acquires the estimation result of the stress state of the subject (step S22). The mental state estimation means 16X estimates the mental state of the subject based on the base type and the estimation result of the stress state (step S23).
According to the fourth embodiment, theinformation processing apparatus 1X can accurately estimate the mental state of the subject based on the base type indicating the basic type of the subject and the stress state.
第4実施形態によれば、情報処理装置1Xは、被検者の基本的なタイプを示すベースタイプとストレス状態とに基づき、被検者のメンタル状態を的確に推定することができる。 FIG. 11 is an example of a flowchart executed by the
According to the fourth embodiment, the
なお、上述した各実施形態において、プログラムは、様々なタイプの非一時的なコンピュータ可読媒体(non-transitory computer readable medium)を用いて格納され、コンピュータであるプロセッサ等に供給することができる。非一時的なコンピュータ可読媒体は、様々なタイプの実体のある記憶媒体(tangible storage medium)を含む。非一時的なコンピュータ可読媒体の例は、磁気記憶媒体(例えばフレキシブルディスク、磁気テープ、ハードディスクドライブ)、光磁気記憶媒体(例えば光磁気ディスク)、CD-ROM(Read Only Memory)、CD-R、CD-R/W、半導体メモリ(例えば、マスクROM、PROM(Programmable ROM)、EPROM(Erasable PROM)、フラッシュROM、RAM(Random Access Memory))を含む。また、プログラムは、様々なタイプの一時的なコンピュータ可読媒体(transitory computer readable medium)によってコンピュータに供給されてもよい。一時的なコンピュータ可読媒体の例は、電気信号、光信号、及び電磁波を含む。一時的なコンピュータ可読媒体は、電線及び光ファイバ等の有線通信路、又は無線通信路を介して、プログラムをコンピュータに供給できる。
In each of the above-described embodiments, the program is stored using various types of non-transitory computer readable medium and can be supplied to a processor or the like which is a computer. Non-temporary computer-readable media include various types of tangible storage media. Examples of non-temporary computer-readable media include magnetic storage media (eg, flexible disks, magnetic tapes, hard disk drives), optomagnetic storage media (eg, optomagnetic disks), CD-ROMs (ReadOnlyMemory), CD-Rs, Includes CD-R / W, semiconductor memory (eg, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (RandomAccessMemory)). The program may also be supplied to the computer by various types of transient computer readable medium. Examples of temporary computer readable media include electrical, optical, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.
その他、上記の各実施形態の一部又は全部は、以下の付記のようにも記載され得るが以下には限られない。
Other than that, a part or all of each of the above embodiments may be described as in the following appendix, but is not limited to the following.
[付記1]
被検者の基本的なタイプを示すベースタイプを取得するベースタイプ取得手段と、
前記被検者のストレス状態の推定結果を取得するストレス状態取得手段と、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定するメンタル状態推定手段と、
を有する情報処理装置。
[付記2]
前記ストレス状態取得手段は、前記被検者の急性ストレスに関する推定結果と、前記被検者の慢性ストレスに関する推定結果とを取得し、
前記メンタル状態推定手段は、前記ベースタイプと、前記急性ストレスに関する推定結果と、前記慢性ストレスに関する推定結果とに基づき、前記メンタル状態を推定する、付記1に記載の情報処理装置。
[付記3]
前記ストレス状態取得手段は、前記被検者の複数の時点におけるストレス状態の推定結果を夫々取得し、
前記メンタル状態推定手段は、前記メンタル状態を、前記複数の時点における前記推定結果から夫々特定されるメンタル状態の集計結果に基づき推定する、付記1または2に記載の情報処理装置。
[付記4]
前記メンタル状態推定手段は、前記ベースタイプと前記ストレス状態と前記メンタル状態との関係を定める情報であるメンタル状態関係情報に基づき、前記メンタル状態を推定する、付記1~3のいずれか一項に記載の情報処理装置。
[付記5]
前記メンタル状態関係情報は、前記関係を表すテーブル情報、又は、前記関係を推論する推論器の情報である、付記4に記載の情報処理装置。
[付記6]
前記ベースタイプ取得手段は、前記被検者の主観に基づく主観情報又は前記被検者から検出した客観情報に基づき、前記ベースタイプを判定する、付記1~5のいずれか一項に記載の情報処理装置。
[付記7]
前記メンタル状態の推定結果に関する情報の表示又は音出力を行う出力制御手段をさらに有する、付記1~6のいずれか一項に記載の情報処理装置。
[付記8]
前記出力制御手段は、前記メンタル状態に基づき決定したアドバイスに関する前記表示又は前記音出力を行う、付記7に記載の情報処理装置。
[付記9]
前記出力制御手段は、前記表示として、前記メンタル状態の推定結果と、所定期間内における前記ストレス状態の推定結果の遷移とを少なくとも表示する、付記7または8に記載の情報処理装置。
[付記10]
前記出力制御手段は、前記表示又は前記音出力に必要な信号を端末装置に送信することで、前記表示又は前記音出力を前記端末装置に実行させる、付記7~9のいずれか一項に記載の情報処理装置。
[付記11]
コンピュータが、
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する、
制御方法。
[付記12]
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する処理をコンピュータに実行させるプログラムが格納された記憶媒体。 [Appendix 1]
A base type acquisition means for acquiring a base type indicating the basic type of a subject, and
The stress state acquisition means for acquiring the estimation result of the stress state of the subject, and the stress state acquisition means.
A mental state estimation means for estimating the mental state of the subject based on the base type and the estimation result of the stress state, and
Information processing device with.
[Appendix 2]
The stress state acquisition means acquires an estimation result regarding the acute stress of the subject and an estimation result regarding the chronic stress of the subject, and obtains the estimation result.
The information processing apparatus according toAppendix 1, wherein the mental state estimation means estimates the mental state based on the base type, the estimation result regarding the acute stress, and the estimation result regarding the chronic stress.
[Appendix 3]
The stress state acquisition means acquires the estimation results of the stress state at a plurality of time points of the subject, respectively.
The information processing apparatus according to Appendix 1 or 2, wherein the mental state estimation means estimates the mental state based on the aggregated results of the mental states specified from the estimation results at the plurality of time points.
[Appendix 4]
The mental state estimation means estimates the mental state based on the mental state relationship information which is the information defining the relationship between the base type, the stress state, and the mental state. The information processing device described.
[Appendix 5]
The information processing apparatus according to Appendix 4, wherein the mental state relationship information is table information representing the relationship or information of an inference device for inferring the relationship.
[Appendix 6]
The information according to any one ofSupplementary note 1 to 5, wherein the base type acquisition means determines the base type based on subjective information based on the subjectivity of the subject or objective information detected from the subject. Processing equipment.
[Appendix 7]
The information processing apparatus according to any one ofSupplementary note 1 to 6, further comprising an output control means for displaying information or sound output regarding the estimation result of the mental state.
[Appendix 8]
The information processing apparatus according toAppendix 7, wherein the output control means performs the display or the sound output regarding the advice determined based on the mental state.
[Appendix 9]
The information processing apparatus according to Supplementary note 7 or 8, wherein the output control means at least displays the estimation result of the mental state and the transition of the estimation result of the stress state within a predetermined period as the display.
[Appendix 10]
The item according to any one ofSupplementary note 7 to 9, wherein the output control means causes the terminal device to execute the display or the sound output by transmitting a signal necessary for the display or the sound output to the terminal device. Information processing equipment.
[Appendix 11]
The computer
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
The mental state of the subject is estimated based on the base type and the estimation result of the stress state.
Control method.
[Appendix 12]
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
A storage medium in which a program for causing a computer to execute a process of estimating the mental state of a subject based on the base type and the estimation result of the stress state is stored.
被検者の基本的なタイプを示すベースタイプを取得するベースタイプ取得手段と、
前記被検者のストレス状態の推定結果を取得するストレス状態取得手段と、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定するメンタル状態推定手段と、
を有する情報処理装置。
[付記2]
前記ストレス状態取得手段は、前記被検者の急性ストレスに関する推定結果と、前記被検者の慢性ストレスに関する推定結果とを取得し、
前記メンタル状態推定手段は、前記ベースタイプと、前記急性ストレスに関する推定結果と、前記慢性ストレスに関する推定結果とに基づき、前記メンタル状態を推定する、付記1に記載の情報処理装置。
[付記3]
前記ストレス状態取得手段は、前記被検者の複数の時点におけるストレス状態の推定結果を夫々取得し、
前記メンタル状態推定手段は、前記メンタル状態を、前記複数の時点における前記推定結果から夫々特定されるメンタル状態の集計結果に基づき推定する、付記1または2に記載の情報処理装置。
[付記4]
前記メンタル状態推定手段は、前記ベースタイプと前記ストレス状態と前記メンタル状態との関係を定める情報であるメンタル状態関係情報に基づき、前記メンタル状態を推定する、付記1~3のいずれか一項に記載の情報処理装置。
[付記5]
前記メンタル状態関係情報は、前記関係を表すテーブル情報、又は、前記関係を推論する推論器の情報である、付記4に記載の情報処理装置。
[付記6]
前記ベースタイプ取得手段は、前記被検者の主観に基づく主観情報又は前記被検者から検出した客観情報に基づき、前記ベースタイプを判定する、付記1~5のいずれか一項に記載の情報処理装置。
[付記7]
前記メンタル状態の推定結果に関する情報の表示又は音出力を行う出力制御手段をさらに有する、付記1~6のいずれか一項に記載の情報処理装置。
[付記8]
前記出力制御手段は、前記メンタル状態に基づき決定したアドバイスに関する前記表示又は前記音出力を行う、付記7に記載の情報処理装置。
[付記9]
前記出力制御手段は、前記表示として、前記メンタル状態の推定結果と、所定期間内における前記ストレス状態の推定結果の遷移とを少なくとも表示する、付記7または8に記載の情報処理装置。
[付記10]
前記出力制御手段は、前記表示又は前記音出力に必要な信号を端末装置に送信することで、前記表示又は前記音出力を前記端末装置に実行させる、付記7~9のいずれか一項に記載の情報処理装置。
[付記11]
コンピュータが、
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する、
制御方法。
[付記12]
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する処理をコンピュータに実行させるプログラムが格納された記憶媒体。 [Appendix 1]
A base type acquisition means for acquiring a base type indicating the basic type of a subject, and
The stress state acquisition means for acquiring the estimation result of the stress state of the subject, and the stress state acquisition means.
A mental state estimation means for estimating the mental state of the subject based on the base type and the estimation result of the stress state, and
Information processing device with.
[Appendix 2]
The stress state acquisition means acquires an estimation result regarding the acute stress of the subject and an estimation result regarding the chronic stress of the subject, and obtains the estimation result.
The information processing apparatus according to
[Appendix 3]
The stress state acquisition means acquires the estimation results of the stress state at a plurality of time points of the subject, respectively.
The information processing apparatus according to
[Appendix 4]
The mental state estimation means estimates the mental state based on the mental state relationship information which is the information defining the relationship between the base type, the stress state, and the mental state. The information processing device described.
[Appendix 5]
The information processing apparatus according to Appendix 4, wherein the mental state relationship information is table information representing the relationship or information of an inference device for inferring the relationship.
[Appendix 6]
The information according to any one of
[Appendix 7]
The information processing apparatus according to any one of
[Appendix 8]
The information processing apparatus according to
[Appendix 9]
The information processing apparatus according to
[Appendix 10]
The item according to any one of
[Appendix 11]
The computer
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
The mental state of the subject is estimated based on the base type and the estimation result of the stress state.
Control method.
[Appendix 12]
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
A storage medium in which a program for causing a computer to execute a process of estimating the mental state of a subject based on the base type and the estimation result of the stress state is stored.
以上、実施形態を参照して本願発明を説明したが、本願発明は上記実施形態に限定されるものではない。本願発明の構成や詳細には、本願発明のスコープ内で当業者が理解し得る様々な変更をすることができる。すなわち、本願発明は、請求の範囲を含む全開示、技術的思想にしたがって当業者であればなし得るであろう各種変形、修正を含むことは勿論である。また、引用した上記の特許文献等の各開示は、本書に引用をもって繰り込むものとする。
Although the invention of the present application has been described above with reference to the embodiment, the invention of the present application is not limited to the above embodiment. Various changes that can be understood by those skilled in the art can be made within the scope of the present invention in terms of the configuration and details of the present invention. That is, it goes without saying that the invention of the present application includes all disclosure including claims, various modifications and modifications that can be made by those skilled in the art in accordance with the technical idea. In addition, each disclosure of the above-mentioned patent documents cited shall be incorporated into this document by citation.
1、1A、1B、1X 情報処理装置
2 入力装置
3 表示装置
4 記憶装置
5 センサ
8 端末装置
100、100B メンタル状態推定システム 1, 1A, 1B, 1XInformation processing device 2 Input device 3 Display device 4 Storage device 5 Sensor 8 Terminal device 100, 100B Mental state estimation system
2 入力装置
3 表示装置
4 記憶装置
5 センサ
8 端末装置
100、100B メンタル状態推定システム 1, 1A, 1B, 1X
Claims (12)
- 被検者の基本的なタイプを示すベースタイプを取得するベースタイプ取得手段と、
前記被検者のストレス状態の推定結果を取得するストレス状態取得手段と、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定するメンタル状態推定手段と、
を有する情報処理装置。 A base type acquisition means for acquiring a base type indicating the basic type of a subject, and
The stress state acquisition means for acquiring the estimation result of the stress state of the subject, and the stress state acquisition means.
A mental state estimation means for estimating the mental state of the subject based on the base type and the estimation result of the stress state, and
Information processing device with. - 前記ストレス状態取得手段は、前記被検者の急性ストレスに関する推定結果と、前記被検者の慢性ストレスに関する推定結果とを取得し、
前記メンタル状態推定手段は、前記ベースタイプと、前記急性ストレスに関する推定結果と、前記慢性ストレスに関する推定結果とに基づき、前記メンタル状態を推定する、請求項1に記載の情報処理装置。 The stress state acquisition means acquires an estimation result regarding the acute stress of the subject and an estimation result regarding the chronic stress of the subject, and obtains the estimation result.
The information processing apparatus according to claim 1, wherein the mental state estimation means estimates the mental state based on the base type, the estimation result regarding the acute stress, and the estimation result regarding the chronic stress. - 前記ストレス状態取得手段は、前記被検者の複数の時点におけるストレス状態の推定結果を夫々取得し、
前記メンタル状態推定手段は、前記メンタル状態を、前記複数の時点における前記推定結果から夫々特定されるメンタル状態の集計結果に基づき推定する、請求項1または2に記載の情報処理装置。 The stress state acquisition means acquires the estimation results of the stress state at a plurality of time points of the subject, respectively.
The information processing apparatus according to claim 1 or 2, wherein the mental state estimation means estimates the mental state based on the aggregated results of the mental states specified from the estimation results at the plurality of time points. - 前記メンタル状態推定手段は、前記ベースタイプと前記ストレス状態と前記メンタル状態との関係を定める情報であるメンタル状態関係情報に基づき、前記メンタル状態を推定する、請求項1~3のいずれか一項に記載の情報処理装置。 The mental state estimation means is any one of claims 1 to 3 for estimating the mental state based on the mental state relationship information which is the information defining the relationship between the base type, the stress state and the mental state. The information processing device described in.
- 前記メンタル状態関係情報は、前記関係を表すテーブル情報、又は、前記関係を推論する推論器の情報である、請求項4に記載の情報処理装置。 The information processing device according to claim 4, wherein the mental state relationship information is table information representing the relationship or information of an inference device for inferring the relationship.
- 前記ベースタイプ取得手段は、前記被検者の主観に基づく主観情報又は前記被検者から検出した客観情報に基づき、前記ベースタイプを判定する、請求項1~5のいずれか一項に記載の情報処理装置。 The method according to any one of claims 1 to 5, wherein the base type acquisition means determines the base type based on subjective information based on the subjectivity of the subject or objective information detected from the subject. Information processing device.
- 前記メンタル状態の推定結果に関する情報の表示又は音出力を行う出力制御手段をさらに有する、請求項1~6のいずれか一項に記載の情報処理装置。 The information processing apparatus according to any one of claims 1 to 6, further comprising an output control means for displaying information or sound output regarding the estimation result of the mental state.
- 前記出力制御手段は、前記メンタル状態に基づき決定したアドバイスに関する前記表示又は前記音出力を行う、請求項7に記載の情報処理装置。 The information processing device according to claim 7, wherein the output control means performs the display or the sound output regarding the advice determined based on the mental state.
- 前記出力制御手段は、前記表示として、前記メンタル状態の推定結果と、所定期間内における前記ストレス状態の推定結果の遷移とを少なくとも表示する、請求項7または8に記載の情報処理装置。 The information processing apparatus according to claim 7 or 8, wherein the output control means at least displays the estimation result of the mental state and the transition of the estimation result of the stress state within a predetermined period as the display.
- 前記出力制御手段は、前記表示又は前記音出力に必要な信号を端末装置に送信することで、前記表示又は前記音出力を前記端末装置に実行させる、請求項7~9のいずれか一項に記載の情報処理装置。 According to any one of claims 7 to 9, the output control means causes the terminal device to execute the display or the sound output by transmitting a signal necessary for the display or the sound output to the terminal device. The information processing device described.
- コンピュータが、
被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する、
制御方法。 The computer
Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
The mental state of the subject is estimated based on the base type and the estimation result of the stress state.
Control method. - 被検者の基本的なタイプを示すベースタイプを取得し、
前記被検者のストレス状態の推定結果を取得し、
前記ベースタイプと、前記ストレス状態の推定結果とに基づき、前記被検者のメンタル状態を推定する処理をコンピュータに実行させるプログラムが格納された記憶媒体。 Get a base type that shows the basic type of the subject,
Obtaining the estimation result of the stress state of the subject,
A storage medium in which a program for causing a computer to execute a process of estimating the mental state of a subject based on the base type and the estimation result of the stress state is stored.
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