JP2022097269A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an appropriate voice for a subject.SOLUTION: An information processing device includes an acquiring unit for acquiring detection information detected by detection means for detecting a state of a subject in a state to be responded to by a responder and a providing unit for providing speech information on speech for guiding the subject to a predetermined state in accordance with the detection information.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing apparatus, an information processing method and an information processing program.

Conventionally, there have been proposed techniques for converting the voices of parents such as mothers and fathers so that children such as infants can hear sounds that match the rhythm of fetal movements.

Japanese Unexamined Patent Publication No. 2000-259199 Patent No. 4482624

However, in the above-mentioned conventional technique, it may not be possible to provide an appropriate voice for the child because the voice of the parent such as the mother or the father is only converted and the sound that matches the rhythm of the fetal movement is heard by the child. be.

The present application has been made in view of the above, and an object thereof is to provide an appropriate voice to a subject.

The information processing apparatus according to the present application puts the acquisition unit that acquires the detection information detected by the detection means that detects the state of the target person corresponding to the corresponding person and the target person according to the detection information into a predetermined state. An information processing device including a providing unit that provides utterance information regarding utterances for guidance.

According to one aspect of the embodiment, it is possible to provide an appropriate voice to the subject.

FIG. 1 is a diagram showing an example of a provision process executed by the information processing apparatus according to the first embodiment. FIG. 2 is a diagram showing an example of the configuration of the information processing apparatus according to the first embodiment. FIG. 3 is a diagram showing an example of an estimated information storage unit according to the first embodiment. FIG. 4 is a diagram showing an example of the utterance information storage unit according to the first embodiment. FIG. 5 is a diagram showing an example of a voice information storage unit according to the first embodiment. FIG. 6 is a sequence diagram showing an example of a flow of provision processing executed by the information processing apparatus according to the first embodiment. FIG. 7 is a diagram showing an example of the provision process executed by the information processing apparatus according to the second embodiment. FIG. 8 is a sequence diagram showing an example of a flow of provision processing executed by the information processing apparatus according to the second embodiment. FIG. 9 is a diagram showing an example of the provision process executed by the information processing apparatus according to the third embodiment. FIG. 10 is a sequence diagram showing an example of a flow of provision processing executed by the information processing apparatus according to the third embodiment. FIG. 11 is a diagram showing an example of the provision process executed by the information processing apparatus according to the modified example. FIG. 12 is a diagram showing an example of the provision process executed by the information processing apparatus according to the modified example. FIG. 13 is a diagram showing an example of the provision process executed by the information processing apparatus according to the modified example. FIG. 14 is a diagram showing an example of a hardware configuration.

The description of this specification and the accompanying drawings will clarify at least the following matters.

The acquisition unit that acquires the detection information detected by the detection means that detects the state of the target person to be dealt with by the responder, and the utterance information related to the utterance for guiding the target person to a predetermined state according to the detection information. An information processing device characterized by comprising a providing unit that provides.

According to such an information processing device, for example, by a detection means for detecting the state of a parent such as a father or a mother, a newborn baby who is a target person to be dealt with by a childcare worker, a nanny or the like, or a child such as an infant. Acquire the detected detection information. The state of the child referred to here is, for example, a psychological state, a state related to physical condition, a state related to the surrounding environment, and the like. For example, the information processing device acquires a voice such as a child's cry as detection information.

Then, the information processing device provides utterance information for guiding the child to a state of stopping crying in response to the crying voice of the child, for example. For example, the information processing device provides utterance information to a speaker such as a smart speaker. Then, the speaker outputs the utterance information as voice to the child. Thereby, the information processing apparatus can provide an appropriate voice to the target person.

For example, as a method of stopping a child from crying, there may be a method of providing contents related to how to stop the child from crying to a terminal device such as a smartphone used by a parent. However, in general, parents who are busy raising children often cannot afford to browse the terminal device. In addition, for parents who are busy raising children, it is necessary to always hold the terminal device in their hands while acting, and there is a risk that both the child and the parent will encounter an accident or the like. Therefore, the information processing apparatus can solve the above-mentioned problem by providing the utterance information for stopping the child from crying by using the voice.

Also, parents may not know why their child is crying. For example, if a child is crying while raising a child, the parent can instantly determine whether the child is crying because he / she feels uncomfortable in the diaper, is simply crying, or is crying. Must-have. For example, if there is a discrepancy between the cause of the child's crying and the response taken to the child, the child may not stop crying. For example, if a child is crying because he is hungry, he may not stop crying even if he changes diapers. For example, if the child is sleepy and crying, the parent may sing a lullaby to reassure the child and lead him to sleep. On the other hand, when a child has strong emotions such as sleepiness, it may be better to wait for a while and then let him lie down without directly taking measures such as singing a lullaby. In this way, when a child is crying, the response aimed at stopping crying may not be appropriate.

In addition, parents speak to their children, but with the progress of nuclear families, children are less likely to hear various voices such as voices from grandfathers and grandmothers. Also, in the case of a nuclear family, parents must continue to speak in order to hear the voice, and it may be a physical and mental burden for parents to always talk to infants.

In addition, for children, various events that occur around them become new events, which may cause fear, stress, and crying. On the other hand, the events that occur around the child are commonplace for parents, so it may not be possible to understand why the child is crying. For example, assuming a parent raising a newborn baby in his or her own home, everything in the home is new to the newborn, whereas it is familiar to the parent because it is their own home. Thus, parents may find it difficult to notice how the home environment is stimulating the newborn.

In such cases, parents who are busy raising children may feel stress, which may increase the physical and mental burden on the parents. Therefore, the information processing device provides utterance information for inducing the child's state to a predetermined state by estimating the child's emotion and the state of the child indicating the situation. For example, the information processing device provides speech information for stopping a child from crying when the child is in a crying state. In this way, the information processing device outputs the utterance information to the child as voice via the speaker, so that not only the child is simply stopped crying, but also an effect similar to the action performed by the parent such as comforting the child is realized. do.

In general, it is known that the music that a child stops crying and the sound that the child stops crying do not make the child feel comfortable and stop crying, but the child is surprised and stops crying. In addition, conventionally, a technique has been known in which a toy or the like is operated based on sensor information detected by a sensor and a sound is output from a speaker built in the toy in order to make a child cry or stop crying. There is. However, it may not always be possible to say that such a coping method can provide appropriate childcare or childcare to the child. For example, a service that simply operates a toy or the like that automatically outputs voice according to sensor information from a sensor is not limited to voice for guiding a child to a predetermined state, but a single voice. Is only output mechanically. For this reason, conventional techniques such as mechanically outputting a single voice may not always be able to provide appropriate childcare or childcare to a child. In addition, simply providing the detection information detected from the child to the parent may not only prevent proper care but also increase the stress of the parent.

In general, it is desirable for parents who care for or care for their children to deal directly with their children. For example, when a child is crying, the parent comforts the child while hugging it. At this time, the parent gives the child not only an auditory stimulus (eg, the parent's soothing voice) but also a visual stimulus (eg, the parent's face) and a tactile stimulus (eg, the parent's). Feel the body temperature or the feeling of touching the parent's child). It is thought that this can promote the development of the child's brain and mind by realizing a response that integrates multiple senses.

Therefore, the information providing device makes it possible to realize appropriate childcare and childcare by estimating the child's condition such as the child crying and then providing an appropriate voice to the crying child. do. In this way, the information providing device realizes parental child-rearing and child-rearing support by playing a role such as a co-caregiver for the parent.

As a result, the information providing device can reduce the physical and mental burden on the parent. For example, the information providing device can reduce the burden of child-rearing in child-rearing and reduce the stress of not being able to stop the child from crying well. In this way, the information providing device can facilitate parental child-rearing and child-rearing.

Further, the information processing device estimates information about the emotion of the target person based on the detection information, and utterance information for guiding the target person to a predetermined state according to the estimated emotion of the target person. I will provide a.

According to such an information processing device, information on the emotion of the subject is estimated based on the detection information, and speech information for guiding the subject to a predetermined state according to the estimated emotion of the subject. Since the spoken information for providing the information is provided, it is possible to provide an appropriate voice to the target person.

In addition, the information processing apparatus provides utterance information for inducing a calm state as the predetermined state.

According to such an information processing device, since the utterance information for guiding to a calm state is provided as a predetermined state, it is possible to provide an appropriate voice to the target person.

Further, the information processing apparatus provides the responder with information on the proposed behavior for the target person, while providing the utterance information for guiding the target person to the predetermined state according to the detection information. do.

According to such an information processing device, in order to provide the responder with information on the proposed behavior to the target person while providing the spoken information for guiding the target person to a predetermined state according to the detection information. , Can propose appropriate actions regarding the target person to the responder.

Further, the information processing apparatus acquires the detection information about the corresponding person detected by the detecting means, and provides the utterance information for guiding the corresponding person to a predetermined state according to the detected information.

According to such an information processing device, the responder obtains the detection information about the responder detected by the detection means and provides the utterance information for guiding the responder according to the detection information to a predetermined state. Appropriate voice can be provided to.

Further, the information processing apparatus provides utterance information for guiding the target person to a predetermined state when the feeling of the corresponding person, which is estimated based on the detection information about the corresponding person, shows an emotion of anger.

According to such an information processing device, when the emotion of the responder estimated based on the detection information about the responder shows the emotion of anger, the voice information for guiding the subject to a predetermined state is provided. , Appropriate voice can be provided to the target person.

Further, the information processing apparatus provides utterance information for guiding the correspondent to a predetermined state when the emotion of the correspondent estimated based on the detection information about the correspondent indicates an angry emotion.

According to such an information processing device, when the emotion of the responder estimated based on the detection information about the responder shows the emotion of anger, the utterance information for guiding the responder to a predetermined state is provided. , Appropriate voice can be provided to the responder.

Further, the information processing apparatus provides utterance information for guiding the target person to a predetermined state according to the behavior of the corresponding person estimated based on the detection information about the corresponding person.

According to such an information processing device, in order to provide speech information for guiding the subject to a predetermined state according to the behavior of the responder estimated based on the detection information about the responder, the subject is provided with speech information. On the other hand, it is possible to provide appropriate voice.

Further, the information processing apparatus provides utterance information for guiding the target person to a predetermined state according to the behavior of the target person estimated based on the detection information about the target person.

According to such an information processing device, in order to provide speech information for guiding the target person to a predetermined state according to the behavior of the target person estimated based on the detection information about the target person, the responder is informed. On the other hand, it is possible to provide appropriate voice.

Further, the information processing apparatus provides the utterance information related to the utterance for complimenting the target person as the utterance information.

According to such an information processing device, since the utterance information related to the utterance for complimenting the target person is provided as the utterance information, it is possible to provide an appropriate voice to the target person.

Further, the information processing apparatus acquires the detection information about the target person detected by the detection means and the detection information about the corresponding person, and combines the detection information about the target person and the detection information about the corresponding person. It provides utterance information for guiding the target person or the corresponding person who responded to a predetermined state.

According to such an information processing device, the detection information about the target person detected by the detection means and the detection information about the responder are acquired, and the combination of the detection information about the target person and the detection information about the responder is supported. In order to provide speech information for guiding the target person or the responder to a predetermined state, it is possible to provide an appropriate voice to the target person or the responder.

Further, the information processing apparatus acquires voice information related to the voice of the target person detected by the detection means, and provides utterance information for guiding the target person to the predetermined state according to the voice information.

According to such an information processing device, in order to acquire voice information about the voice of the target person detected by the detection means and to provide utterance information for guiding the target person to a predetermined state according to the voice information. Appropriate voice can be provided to the target person.

Further, the information processing apparatus acquires the voice information of the corresponding person detected by the detecting means, and provides the utterance information for guiding the corresponding person to the predetermined state according to the voice information.

According to such an information processing device, the responder obtains the voice information of the responder detected by the detection means and provides the utterance information for guiding the responder according to the voice information to a predetermined state. Appropriate voice can be provided to.

Further, the information processing apparatus acquires the biological information of the target person detected by the detection means, and provides the utterance information for guiding the target person to the predetermined state according to the biological information.

According to such an information processing device, in order to acquire the biological information of the target person detected by the detection means and to provide the utterance information for guiding the target person to a predetermined state according to the biological information, the target person Appropriate voice can be provided to.

Further, the information processing apparatus acquires the biological information of the corresponding person detected by the detecting means, and provides the utterance information for guiding the corresponding person to the predetermined state according to the biological information.

According to such an information processing device, the responder obtains the biometric information of the responder detected by the detection means and provides the utterance information for guiding the responder according to the biometric information to a predetermined state. Appropriate voice can be provided to.

Hereinafter, an example of an information processing apparatus, an information processing method, and an embodiment for implementing an information processing program (hereinafter, referred to as “embodiment”) will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program are not limited by this embodiment. Further, in the following embodiments, the same parts are designated by the same reference numerals, and duplicate description will be omitted.

[1. First Embodiment]
[1-1. An example of the provision process indicated by the information processing device]
An example of the provision process executed by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an example of a provision process executed by the information processing apparatus 100 according to the embodiment.

As shown in FIG. 1, the information processing system 1 according to the first embodiment includes a speaker 10 and an information processing device 100. The speaker 10 and the information processing apparatus 100 are connected so as to be communicable by wire or wirelessly via a predetermined network (not shown). The information processing system 1 shown in FIG. 1 may include a plurality of speakers 10 and a plurality of information processing devices 100.

The speaker 10 according to the first embodiment is an information processing device that collects sound and voice and outputs sound, voice, or music, and is, for example, a smart speaker or an IoT (Internet of Things) device. be. Specifically, the speaker 10 is an input / output device having an input device such as a microphone for acquiring ambient sound and an output device such as a speaker capable of outputting arbitrary sound.

For example, the speaker 10 is realized by a sound sensor such as a microphone that can detect a voice emitted by a target person or a corresponding person. Further, the speaker 10 outputs the utterance information provided by the information processing apparatus 100 to the target person as voice. The speaker 10 may be an information processing device having a voice recognition function, a voice reproduction function, a voice synthesis function, a voice response function, and the like.

The information processing device 100 according to the first embodiment is an information processing device capable of communicating with various devices via a predetermined network such as the Internet, and is realized by, for example, a server device or a cloud system. For example, the information processing device 100 is communicably connected to various other devices via the Internet.

Hereinafter, an example of the provision process by the information processing apparatus 100 will be described along the flow with reference to FIG. 1. In the following description, an example will be given in which the subject is a child BA1 and the corresponding person corresponding to the subject is the mother PA1 of the child BA1.

In the example of FIG. 1, the information processing apparatus 100 estimates the state of the child BA1 such as the act of the child BA1 crying when the child BA1 cries, the cause of why the child BA1 is crying, and the like. .. Then, the information processing apparatus 100 provides utterance information for inducing the child BA1 to a state of stopping crying according to the estimation result. Further, in the example of FIG. 1, it is assumed that the child BA1 is excreted in a diaper and feels uncomfortable and is crying.

First, as shown in FIG. 1, the information processing apparatus 100 acquires voice information (step S1). For example, the speaker 10 acquires information about the crying voice of the child BA1. Then, the information processing apparatus 100 acquires information about the crying voice of the child BA1 from the speaker 10.

Subsequently, the information processing apparatus 100 estimates the state of the child BA1 based on the acquired voice (step S2). For example, the information processing apparatus 100 determines whether or not the acquired voice is crying. Further, when the voice is a cry, the information processing apparatus 100 analyzes the cry of the child BA1 by voice. Then, the information processing apparatus 100 estimates the emotion of the child BA1 based on the characteristic waveform indicated by the crying voice. Here, it is assumed that the information processing apparatus 100 presumes that the emotion of the child BA1 is unpleasant, frustrated, or sad.

As the estimation process, various known emotion estimation techniques using voice information can be adopted. For example, it is realized by a learning model such as a neural network that learns the relationship between the frequency characteristics of crying voice information and the emotions of a child when crying. Such a learning model outputs information indicating emotions presumed to be felt by a child when voice information is input. Further, the estimation process may be realized by using a table or the like in which the frequency characteristic indicated by the crying voice and the emotion of the child are associated with each other.

Then, the information processing apparatus 100 provides the utterance information to the speaker 10 (step S3). For example, when the estimated emotion of the child BA1 is unpleasant, frustrated or sad, the information processing apparatus 100 includes an utterance content "because the mother will replace it immediately" to ease the child BA1. Select utterance information. Then, the information processing apparatus 100 provides the selected utterance information to the speaker 10. Further, the information processing apparatus 100 may include voice information to be output to the child BA1 in the utterance information. For example, the information processing apparatus 100 may include artificial voice information in the utterance information as voice information to be output to the child BA1 and provide the utterance information to the speaker 10.

Subsequently, the speaker 10 outputs the utterance information as voice to the child BA1 (step S4). For example, the speaker 10 outputs a voice such as "Mother will replace it soon" to the child BA1.

Further, when the information processing device 100 provides the speech information to the mother PA1 in advance, the speaker 10 outputs the above voice to the child BA1 and then outputs a voice such as "I want to change the diaper!". Output to mother PA1. In this case, the speaker 10 can output the sound having directivity to the child BA1 or the mother PA1.

As another example, when the mother PA1 takes a long time to prepare, such as preparing a diaper or preparing a meal such as milk, the information processing apparatus 100 makes a voice multiple times to the child BA1. You may change the time to relax the child BA1 by outputting the information. For example, it is assumed that the mother PA1 prepares a diaper. In this case, the information processing apparatus 100 provides the speaker 10 with a plurality of utterance information in advance. Then, the speaker 10 outputs a voice such as "Mother will replace it soon" to the child BA1. Further, after a predetermined period (for example, several minutes) has elapsed, the speaker 10 outputs a voice such as "Mom is looking for a diaper" to the child BA1. Further, after a predetermined period (for example, several minutes) has elapsed, the speaker 10 outputs a comforting content such as "OK, I'm fine!" To the child BA1 as voice.

Also, it is assumed that the mother PA1 prepares milk. In this case, the information processing apparatus 100 provides the speaker 10 with a plurality of utterance information in advance. Then, the speaker 10 outputs a voice such as "I'm hungry!" To the child BA1. Further, the speaker 10 outputs a voice such as "I can make delicious rice now" to the child BA1 after a predetermined period (for example, several minutes) has elapsed. Further, after a predetermined period (for example, several minutes) has elapsed, the speaker 10 outputs a comforting content such as "OK, it's a little more!" To the child BA1 as voice.

As described above, the information processing apparatus 100 provides the speaker 10 with a plurality of utterance information in advance when the parent takes a long time to prepare, so that the information processing device 100 can appropriately lengthen the time to care for the child. May be provided.

In the conventional technique, it may not be possible to provide an appropriate voice according to the child's condition because the child is only made to hear the sound that matches the rhythm of the fetal movement by converting the voice of the parent such as the mother or the father. there were. Therefore, the information processing apparatus 100 according to the embodiment acquires the detection information detected by the detection means for detecting the state of the target person corresponding to the corresponding person, and guides the target person according to the detection information to a predetermined state. Provide utterance information about the utterance to be done. Thereby, the information processing apparatus 100 solves the conventional problem. In this way, the information processing apparatus 100 can provide an appropriate voice to the target person.

In this way, the information processing apparatus 100 can comfort the child by voice without bothering the mother who is busy raising children. In addition, the information processing device 100 can provide childcare advice by voice to a mother who cannot confirm the terminal device or the like during childcare. As a result, the information processing apparatus 100 can reduce stress in parental childcare and childcare.

Further, since the information processing apparatus 100 provides information indicating the presumed cause of the child's emotions such as "changing the diaper", the parent can easily interpret the cause such as why the child is crying. be able to. As described above, the information processing apparatus 100 can easily allow the parent to interpret the feelings of the child who cannot convey the cause by utterance, so that the stress of the parent can be reduced.

In addition, many households are now becoming nuclear families. Previously, in the case of extended families, when the father was not working, the grandmother would take care of the child instead of the mother when the mother was busy. In addition, when the mother could not care for the child, the grandmother took the place of the mother, and the child sometimes stopped crying. In addition, the mother and grandmother alternately comforted the child, which sometimes caused the child to stop crying. Thus, in the past, it was easier for mothers to control their own emotions because there were people who raised and raised children jointly with their mothers.

On the other hand, nowadays, when the father is not working, the mother often takes care of the child. In this way, only the mother may be forced to raise and raise children. Therefore, it is thought that the burden on the mother will be heavier than before. Also, when the mother alone takes care of the child, the child may not hear any sound or voice if the mother does not continue to speak, which may not have a positive effect on the child's brain and mental development. It is possible. However, considering the development of the child, if the mother keeps talking, the burden on the mother will increase further. Therefore, the information processing apparatus 100 can provide a function as a co-parent by delivering voice to the child via the speaker 10 instead of the mother. In addition, the information processing device 100 can provide a mother who feels unstable during childcare with a time or opportunity to calm down by listening to another voice different from herself. can.

[1-2. Information processing device configuration]
Next, the configuration of the information processing apparatus 100 according to the first embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the information processing apparatus 100 according to the first embodiment. As shown in FIG. 2, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(About communication unit 110)
The communication unit 110 according to the first embodiment is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information between various devices.

(About the storage unit 120)
The storage unit 120 according to the first embodiment is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. The storage unit 120 includes an estimation information storage unit 121, an utterance information storage unit 122, and a voice information storage unit 123.

(About the estimated information storage unit 121)
The estimation information storage unit 121 according to the first embodiment stores various estimated information. Here, FIG. 3 shows an example of the estimation information storage unit 121 according to the first embodiment. In the example shown in FIG. 3, the estimated information storage unit 121 has items such as "estimated information ID", "estimated target ID", and "estimated information". Further, the "estimated information" further includes items such as "voice information" and "state".

The "estimated information ID" is an identifier that identifies the estimated information. The "estimated target ID" is an identifier that identifies the estimated target person associated with the "estimated information ID". The "voice information" is voice information acquired from the speaker 10 associated with the "estimated information ID" and the "estimation target ID".

The "state" is the state of the estimation target associated with the "estimation information ID" and the "estimation target ID". The state referred to here is, for example, a psychological state such as emotions of the estimation target, a state related to physical condition, a state related to the surrounding environment in which the estimation target is placed, and the like.

For example, in FIG. 3, "E1" identified by the estimated information ID has an estimated target ID of "EO1", voice information of "VI1", and a state of "ST1". In the example shown in FIG. 3, the voice information or the like is represented by an abstract code such as "VI1", but the voice information or the like may be in a file format or the like of a file including the voice information or the like.

Further, as another item, it may have information on the date and time when the voice information was acquired, the date and time when the state was estimated, and the like. For example, the estimation information storage unit 121 may store the voice information in association with the date and time when the voice information was acquired. Further, the estimation information storage unit 121 may store the state in association with the date and time when the state is estimated.

The item of "voice information" may be replaced with "sensor information" detected by a sensor described later. In this case, the estimation information storage unit 121 stores "sensor information" instead of "voice information". Further, when the "voice information" and the "sensor information" are acquired in the estimated information storage unit 121, the "voice information" and the "sensor information" are the "estimated information ID" and the "estimated target ID". It may be associated with and stored in.

(About the utterance information storage unit 122)
The utterance information storage unit 122 according to the first embodiment stores various utterance information. Here, FIG. 4 shows an example of the utterance information storage unit 122 according to the embodiment. In the example shown in FIG. 4, the utterance information storage unit 122 has items such as "utterance information ID" and "utterance information".

The "utterance information ID" is an identifier that identifies the utterance information. The "utterance information" is information related to the utterance content associated with the "utterance information ID". The utterance content here is, for example, the utterance content spoken to a child such as "good", "good child, good child", "it is okay if you don't panic", and "listening to the baby's voice". The content of the utterances to the parents, such as "Because the diaper seems to be wet, prepare the diaper", "I'm always doing this, but don't you do this today?", " Other utterances such as "Don't you forget?"

For example, in FIG. 4, the utterance information of "T1" identified by the utterance information ID is "UT1". In the example shown in FIG. 4, the utterance information is represented by an abstract code such as "UT1", but the utterance information may be in the file format of a file including the utterance content.

(About voice information storage unit 123)
The voice information storage unit 123 according to the first embodiment stores various voice information. Here, FIG. 5 shows an example of the voice information storage unit 123 according to the embodiment. In the example shown in FIG. 5, the voice information storage unit 123 has items such as "voice information ID" and "voice information".

The "voice information ID" is an identifier that identifies voice information. The "voice information" is voice information associated with the "voice information ID". For example, voice information includes a mother's voice, a father's voice, an artificial voice generated based on the mother's voice, an artificial voice generated based on the father's voice, and artificially. It is an artificial voice created. Here, the artificial voice is a voice of a man, a woman, a character, or the like.

For example, in FIG. 5, the voice information of "V1" identified by the voice information ID is "VO1". In the example shown in FIG. 5, the voice information is represented by an abstract code such as "VO1", but the voice information may be in the file format of a file containing the voice information.

(About control unit 130)
The control unit 130 according to the first embodiment is a controller, and is stored in a storage device inside the information processing device 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Various programs (corresponding to an example of an information processing program) are realized by executing the RAM as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 2, the control unit 130 includes an acquisition unit 131, an estimation unit 132, and a provision unit 133, and realizes or executes the functions and operations of information processing described below. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 2, and may be any other configuration as long as it is configured to perform information processing described later. Further, the connection relationship of each processing unit included in the control unit 130 is not limited to the connection relationship shown in FIG. 2, and may be another connection relationship.

(About acquisition unit 131)
The acquisition unit 131 according to the first embodiment acquires various information. Specifically, the acquisition unit 131 acquires the detection information detected by the detection means for detecting the state of the target person corresponding to the corresponding person. Here, the detection information is, for example, voice information collected by the speaker 10 or sensor information detected by the sensor.

For example, suppose a child is crying. In this case, the acquisition unit 131 acquires information about the crying voice of the child from the speaker 10. Then, the acquisition unit 131 stores the acquired information regarding the crying voice of the child as voice information in the estimation information storage unit 121.

(About estimation unit 132)
The estimation unit 132 according to the first embodiment estimates information regarding the emotions of the target person or the corresponding person based on the detection information acquired by the acquisition unit 131. For example, the estimation unit 132 determines whether or not the voice indicated by the voice information stored in the estimation information storage unit 121 is a crying voice. Further, the estimation unit 132 analyzes the crying voice of the child when the voice is crying. Then, the estimation unit 132 estimates the emotion of the child based on the characteristic waveform shown by the crying voice. To give a more specific example, the estimation unit 132 estimates that the child's emotions are unpleasant, frustrated, or sad based on the characteristic waveforms of the child's crying. Then, the estimation unit 132 stores information such as the estimated feelings of the child being unpleasant, frustrated, or sad as information regarding the state in the estimation information storage unit 121.

As the estimation process, various known emotion estimation techniques using voice information can be adopted. For example, it is realized by a learning model such as a neural network that learns the relationship between the frequency characteristics of crying voice information and the emotions of a child when crying. Such a learning model outputs information indicating emotions presumed to be felt by a child when voice information is input.

For example, the estimation unit 132 generates a learning model by a method such as backpropagation (backpropagation method). For example, the estimation unit 132 adjusts the value of the weight considered when the value is transmitted between the nodes by the learning process. In this way, the estimation unit 132 generates the learning model by processing such as backpropagation that corrects the parameters so that the error between the output in the learning model and the correct answer corresponding to the input is reduced. For example, the estimation unit 132 generates a learning model by performing processing such as backpropagation so as to minimize a predetermined loss function.

Further, the estimation process may be realized by using a table or the like in which the frequency characteristic indicated by the crying voice and the emotion of the child are associated with each other. For example, the estimation unit 132 may estimate information about the child's emotion corresponding to the frequency characteristic indicated by the crying acquired by the acquisition unit 131 by referring to the table.

(About the provider 133)
The providing unit 133 according to the first embodiment provides various information. Specifically, the providing unit 133 provides utterance information regarding utterances for guiding the target person to a predetermined state according to the detection information. For example, if the estimated child's emotions are unpleasant, frustrating, or sad, the providing unit 133 provides utterance information including the utterance content "I will replace it soon" to ease the child. Select from the utterance information storage unit 122. Then, the providing unit 133 provides the selected utterance information to the speaker 10.

In addition, the providing unit 133 selects utterance information including "I want to change the diaper!" From the utterance information storage unit 122 as the utterance content to the mother. Then, the providing unit 133 provides the selected utterance information to the speaker 10.

In another example, if the estimated child's condition is sleepy, the utterance information including "I feel sleepy. It's not bad to cry. Let's leave it as it is" as the content of the utterance to the mother. Is selected from the utterance information storage unit 122. Then, the providing unit 133 provides the selected utterance information to the speaker 10.

Further, the providing unit 133 may include the voice information to be output to the child in the utterance information. For example, the providing unit 133 selects information related to artificial voice from the voice information storage unit 123 as voice information to be output to the child. Then, the providing unit 133 may include the selected voice information in the utterance information and provide the utterance information to the speaker 10.

[1-3. Processing procedure]
Next, with reference to FIG. 6, the procedure of the provision process executed by the information processing apparatus 100 according to the first embodiment will be described. FIG. 6 is a sequence diagram showing an example of a flow of provision processing executed by the information processing apparatus 100 according to the first embodiment.

As shown in FIG. 6, the speaker 10 acquires the crying voice of the child (step S101). Then, the acquisition unit 131 of the information processing apparatus 100 acquires voice information regarding the crying voice of the child from the speaker 10 (step S102).

Further, the estimation unit 132 of the information processing apparatus 100 estimates the state of the child based on the voice information regarding the crying voice (step S103). Then, the providing unit 133 of the information processing apparatus 100 provides the speaker 10 with utterance information according to the state of the child (step S104). Then, the speaker 10 outputs the utterance information as voice (step S105).

[2. Second embodiment]
[2-1. An example of the provision process indicated by the information processing device]
Next, the second embodiment will be described. In the first embodiment described above, the information processing apparatus 100 estimates the state of the child based on the voice information acquired from the speaker 10, and provides the speaker 10 with speech information according to the estimated state of the child. An example of the provision process to be performed has been described. In the second embodiment, the information processing apparatus 100 estimates the child's state based on the child's biological information detected by the sensor, and provides the speaker 10 with speech information according to the estimated child's state. An example of processing is shown.

First, an example of the provision process executed by the information processing apparatus 100 according to the second embodiment will be described with reference to FIG. 7. FIG. 7 is a diagram showing an example of the provision process executed by the information processing apparatus 100 according to the second embodiment.

As shown in FIG. 7, the information processing system 2 according to the second embodiment includes a speaker 10, a sensor 20, and an information processing device 100. The speaker 10, the sensor 20, and the information processing apparatus 100 are communicably connected by wire or wirelessly via a predetermined network (not shown). The information processing system 2 shown in FIG. 7 may include a plurality of speakers 10, a plurality of sensors 20, and a plurality of information processing devices 100.

Since the speaker 10 according to the second embodiment performs the same processing as the speaker 10 according to the first embodiment, the description thereof will be omitted.

The sensor 20 according to the second embodiment is a detection device that detects various information of the target person or the corresponding person. For example, the sensor 20 is realized by an IoT device or the like. For example, the sensor 20 is realized by various sensors installed in the vicinity of the target person or the corresponding person and capable of detecting various information of the target person or the corresponding person. For example, the sensor 20 detects the biometric information of the target person or the corresponding person by using various sensors.

For example, the sensor 20 may estimate the heart rate of the subject or the corresponding person. Further, the sensor 20 may measure the ambient temperature of the target person or the corresponding person by using a temperature sensor or the like. Further, the sensor 20 may measure the body temperature of the subject or the corresponding person by using a temperature sensor or the like. Further, the sensor 20 may measure the body temperature of the subject or the corresponding person by using an infrared camera or the like. Further, the sensor 20 may measure the humidity on the body surface or the surroundings of the subject or the corresponding person by using a humidity sensor or the like. Then, the sensor 20 may measure the sweating state of the subject or the corresponding person according to the measurement result of the humidity.

Since the information processing apparatus 100 according to the second embodiment performs the same processing as the information processing apparatus 100 according to the first embodiment, the description thereof will be omitted.

Hereinafter, an example of the provision process by the information processing apparatus 100 will be described along the flow with reference to FIG. 7. In the following description, an example will be given in which the subject is a child BA1 and the corresponding person corresponding to the subject is the mother PA1 of the child BA1.

In the example of FIG. 7, when the child BA1 cries, the information processing apparatus 100 estimates the state of the child BA1 such as the act of the child BA1 crying and the cause of why the child BA1 is crying. .. Then, the information processing apparatus 100 provides utterance information for inducing the child BA1 to a state of stopping crying according to the estimation result. Further, in the example of FIG. 7, it is assumed that the child BA1 is excreted in the diaper and feels uncomfortable and is crying.

First, as shown in FIG. 7, the information processing apparatus 100 acquires the biological information of the child BA1 detected by the sensor 20 (step S21). The biological information referred to here is, for example, information related to heart rate, body temperature, sweating amount, and the like.

For example, the sensor 20 acquires biological information such as an increase in the heart rate of the child BA1, an increase in body temperature, and an increase in sweating amount. Then, the information processing apparatus 100 acquires such biological information from the sensor 20.

Subsequently, the information processing apparatus 100 estimates the state of the child BA1 based on the acquired biological information (step S22). For example, the information processing apparatus 100 determines whether or not any of the acquired biometric information, such as an increase in the heart rate of the child BA1, an increase in body temperature, or an increase in the amount of sweating, satisfies a predetermined condition. For example, the information processing apparatus 100 estimates that the emotion of the child BA1 is unpleasant, frustrated, or sad when the increase in heart rate is a fluctuation of a predetermined threshold value or more.

As the estimation process, various known emotion estimation techniques using biological information can be adopted. For example, it is realized by a learning model such as a neural network that learns the relationship between biological information and the emotion of a child when crying. Such a learning model outputs information indicating emotions presumed to be felt by a child when biometric information is input. Further, the estimation process may be realized by using a table or the like in which the biological information and the emotion of the child are associated with each other.

Then, the information processing apparatus 100 provides the utterance information to the speaker 10 (step S23). For example, when the estimated emotion of the child BA1 is unpleasant, frustrated or sad, the information processing apparatus 100 includes an utterance content "because the mother will replace it immediately" to ease the child BA1. Select utterance information. Then, the information processing apparatus 100 provides the selected utterance information to the speaker 10. Further, the information processing apparatus 100 may include voice information to be output to the child BA1 in the utterance information.

Subsequently, the speaker 10 outputs the utterance information as voice to the child BA1 (step S24). For example, the speaker 10 outputs a voice such as "Mother will replace it soon" to the child BA1. In this way, the information processing apparatus 100 can comfort the child by voice without bothering the mother who is busy raising children.

[2-2. Processing procedure]
Next, with reference to FIG. 8, the procedure of the provision process executed by the information processing apparatus 100 according to the second embodiment will be described. FIG. 8 is a sequence diagram showing an example of a flow of provision processing executed by the information processing apparatus 100 according to the second embodiment.

As shown in FIG. 8, the sensor 20 acquires the biological information of the child (step S201). Then, the acquisition unit 131 of the information processing apparatus 100 acquires the biological information of the child from the sensor 20 (step S202).

Further, the estimation unit 132 of the information processing apparatus 100 estimates the state of the child based on the biological information (step S203). Then, the providing unit 133 of the information processing apparatus 100 provides the speaker 10 with utterance information according to the state of the child (step S204). Then, the speaker 10 outputs the utterance information as voice (step S205).

[3. Third Embodiment]
[3-1. An example of the provision process indicated by the information processing device]
Next, the second embodiment will be described. In the first embodiment described above, the information processing apparatus 100 estimates the state of the child based on the voice information acquired from the speaker 10, and provides the speaker 10 with speech information according to the estimated state of the child. An example of the provision process to be performed has been described. In the third embodiment, the information processing apparatus 100 estimates the child's state based on the child's biological information detected by the sensor, and provides the speaker 10 with utterance information according to the estimated child's state. Then, the information processing device 100 shows an example of a provision process of providing the terminal device with a response according to the estimated state of the child as a proposed action.

First, with reference to FIG. 9, an example of the provision process executed by the information processing apparatus 100 according to the third embodiment will be described. FIG. 9 is a diagram showing an example of the provision process executed by the information processing apparatus 100 according to the third embodiment.

As shown in FIG. 9, the information processing system 3 according to the third embodiment includes a speaker 10, a sensor 20, a terminal device 30, and an information processing device 100. The speaker 10, the sensor 20, the terminal device 30, and the information processing device 100 are communicably connected by wire or wirelessly via a predetermined network (not shown). The information processing system 3 shown in FIG. 9 may include a plurality of speakers 10, a plurality of sensors 20, a plurality of terminal devices 30, and a plurality of information processing devices 100.

Since the speaker 10 according to the third embodiment performs the same processing as the speaker 10 according to the first embodiment, the description thereof will be omitted.

Since the sensor 20 according to the third embodiment performs the same processing as the sensor 20 according to the second embodiment, the description thereof will be omitted.

The terminal device 30 according to the third embodiment is an information processing device used by a user who accesses contents such as web contents displayed on a browser and contents for an application. For example, the terminal device 30 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), a wearable device such as a smart watch, or the like.

Since the information processing apparatus 100 according to the third embodiment performs the same processing as the information processing apparatus 100 according to the first embodiment, the description thereof will be omitted.

Hereinafter, an example of the provision process by the information processing apparatus 100 will be described along the flow with reference to FIG. 9. In the following description, an example will be given in which the subject is a child BA1 and the corresponding person corresponding to the subject is the mother PA1 of the child BA1.

In the example of FIG. 9, the information processing apparatus 100 estimates the state of the child BA1 such as the act of the child BA1 crying when the child BA1 cries, the cause of why the child BA1 is crying, and the like. .. Then, the information processing apparatus 100 provides utterance information for inducing the child BA1 to a state of stopping crying according to the estimation result. Further, in the example of FIG. 9, it is assumed that the child BA1 is excreted in the diaper and feels uncomfortable and is crying.

First, as shown in FIG. 9, the information processing apparatus 100 acquires the biological information of the child BA1 detected by the sensor 20 (step S31). Since step S31 is the same process as step S21, the description thereof will be omitted.

Subsequently, the information processing apparatus 100 estimates the state of the child BA1 based on the acquired biological information (step S32). For example, the information processing apparatus 100 determines whether or not any of the acquired biometric information, such as an increase in the heart rate of the child BA1, an increase in body temperature, or an increase in the amount of sweating, satisfies a predetermined condition. For example, the information processing apparatus 100 estimates that the emotion of the child BA1 is a lonely feeling when the increase in the heart rate is a fluctuation of a predetermined threshold value or more.

Then, the information processing apparatus 100 provides the utterance information to the speaker 10 (step S33). For example, when the estimated emotion of the child BA1 is a lonely feeling, the information processing apparatus 100 selects the utterance information including the utterance content "Because the mother will come soon" to reassure the child BA1. Then, the information processing apparatus 100 provides the selected utterance information to the speaker 10. Further, the information processing apparatus 100 may include voice information to be output to the child BA1 in the utterance information.

Subsequently, the speaker 10 outputs the utterance information as voice to the child BA1 (step S34). For example, the speaker 10 outputs a voice such as "Mother will come soon" to the child BA1. In this way, the information processing apparatus 100 provides an opportunity to make free time for the mother PA1 by comforting the child BA1 with the artificial voice output via the speaker 10 when the mother cannot respond immediately. be able to.

Then, the information processing apparatus 100 provides information regarding the proposed action (step S35). For example, the information processing device 100 provides the terminal device 30 used by the mother PA1 with a proposed action for relieving the child's feelings of loneliness. To explain with a more specific example, the information processing device 100 is for the mother PA1 who says "ABCD is lonely now. Let's hold her" to take care of the child BA1 directly. Provide information. In addition, the information processing device 100 provides information for directly taking care of the child BA1 to the mother PA1 who says, "ABCD is feeling lonely now. Let's sing." In this way, the information processing apparatus 100 can provide the mother with appropriate proposal behavior according to the condition of the child.

[3-2. Processing procedure]
Next, with reference to FIG. 10, the procedure of the provision process executed by the information processing apparatus 100 according to the third embodiment will be described. FIG. 10 is a sequence diagram showing an example of a flow of provision processing executed by the information processing apparatus 100 according to the third embodiment.

As shown in FIG. 10, the sensor 20 acquires the biological information of the child (step S301). Then, the acquisition unit 131 of the information processing apparatus 100 acquires the biological information of the child from the sensor 20 (step S302).

Further, the estimation unit 132 of the information processing apparatus 100 estimates the state of the child based on the biological information (step S303). Then, the providing unit 133 of the information processing apparatus 100 provides the speaker 10 with utterance information according to the state of the child (step S304). Then, the speaker 10 outputs the utterance information as voice (step S305). Further, the providing unit 133 of the information processing apparatus 100 provides information regarding the proposed action to the terminal apparatus 30 (step S306).

[4. Modification example]
The information processing apparatus 100 described above may be implemented in various different forms other than the above-described embodiment. Therefore, in the following, another embodiment of the information processing apparatus 100 will be described.

[4-1. Sensor]
In the above embodiment, the example in which the sensor 20 is a sensor for detecting the biological information of a child or a mother has been described, but the present invention is not limited to this. For example, the sensor 20 may be not only a sensor that detects biological information but also various sensors.

For example, the sensor 20 may use an odor sensor to measure the odor around the child or mother. For example, the sensor 20 may detect that the child has urinated or defecation based on the odor detected by the odor sensor attached to the diaper worn by the child.

Further, the sensor 20 may be attached to the diaper and detect whether or not the child has urinated or defecation based on the sensor information of the excretion sensor that detects urination or defecation based on the fluctuation of the electric capacity. ..

Further, the sensor 20 uses an imaging means such as a camera to capture the movement of the child or mother, and detects the captured still image, moving image, or the like as sensor information. Further, the sensor 20 may detect that the child has come into contact with a predetermined object by using a contact sensor attached to a predetermined object such as a toy or a musical instrument used by the child. The sensor 20 may be a sensor that detects the time, such as a clock.

Further, the sensor 20 may detect not only the information detected by various sensors but also the contents estimated from these sensor information as state information. For example, the sensor 20 estimates whether or not the child has touched a predetermined object from the image taken by the camera, and if it is estimated that the child has touched the predetermined object, the child touches the predetermined object. You may generate the state information to that effect.

Further, the sensor 20 may detect the state of the child based on the combination of the sensor information detected by the plurality of sensors. For example, the sensor 20 may generate state information indicating that the child has excreted when the body temperature of the subject is raised by the temperature sensor and the odor sensor detects the odor of stool.

In the examples shown in FIGS. 7, 9, 12 and 13, a sensor provided with a camera for photographing a child is described as an example of the sensor 20, but the sensor is not limited thereto. The sensor 20 does not have to be independent as a device for the purpose of detection, and may be configured to be included in other products. For example, the sensor 20 may be various home appliances such as a smart TV.

Further, the sensor 20 may be a stuffed animal, a stuffed animal type robot, or the like. Further, the sensor 20 may be a contact type sensor that comes into contact with the child or mother, or may be a non-contact type sensor that does not come into contact with the child or mother. Further, the sensor 20 may be configured to be realized by the hardware of the terminal device 30. For example, the sensor 20 may be configured to be implemented by an application installed in the terminal device 30.

[4-2. audio〕
In the above embodiment, the example in which the voice is an artificial voice has been described, but the present invention is not limited to this. For example, the voice may be any voice that is comfortable for the child. In addition, the voice may be more comfortable than the voice of the parent of the child.

For example, the voice may be a voice having a frequency that the child feels comfortable with. Further, the voice may be the voice of the parent itself, or may be an artificial voice generated based on the voice of the parent. Further, the voice may be a recording of the voice spoken by the parent in advance. Further, the voice may be the voice of a third party different from the parent.

For example, it is assumed that the speaker 10 has acquired the voices of the father and the child. In this case, the information processing apparatus 100 may use artificial voice generated based on the mother's voice as voice information.

Further, in the above embodiment, the example in which the providing unit 133 of the information processing apparatus 100 selects voice from the voice information storage unit 123 has been given, but the present invention is not limited to this. For example, the providing unit 133 may sequentially generate appropriate voice. For example, it is assumed that various information necessary for generating voice is stored in the voice information storage unit 123. In this case, the providing unit 133 may generate voice based on various information stored in the voice information storage unit 123. Then, the providing unit 133 may include the voice information regarding the generated voice in the utterance information.

Further, in the above embodiment, an example in which the speaker 10 outputs utterance information as voice has been described, but the present invention is not limited to this. For example, the speaker 10 may output music that makes the child or parent relax.

[4-3. Speech language]
In the above embodiment, the example in which the voice is an artificial voice has been described, but the present invention is not limited to this. For example, the language of speech may be any language. Further, the language of the voice may be set to the parent in advance.

For example, suppose the mother is Japanese and the father is American. In this case, the audio language may be set to Japanese and English. In this case, the speaker 10 may output Japanese at 80% and English at 20%. It is also assumed that the mother is Japanese and the father is Chinese. In this case, the audio language may be set to Japanese and Chinese. In this case, the speaker 10 may output Japanese at 50% and Chinese at 50%. The output ratio of the voice language may be appropriately set by the parent.

In addition to the above example, even if the mother and father are Japanese, it may be set to include a language in which the child wants to learn the language of speech. For example, assume that the language you want your child to learn is English. In this case, the speaker 10 may output Japanese at 80% and English at 20%. In this way, the speaker 10 can support the child's language acquisition. It is generally known that the family environment affects a child's language acquisition. Therefore, the speaker 10 makes it possible to raise or raise a child regarding language acquisition by including the speaker 10 in a voice that outputs a language that the parent wants the child to learn.

[4-4. Speaker]
In the above embodiment, an example in which the speaker 10 outputs utterance information as voice has been described, but the present invention is not limited to this. For example, the speaker 10 has a voice information storage unit 123, and the voice suitable for utterance information may be selected from the voice information storage unit 123 on the speaker 10 side. Then, the speaker 10 may output utterance information using the selected voice.

[4-5. Offer timing]
In the above embodiment, the provision unit 133 of the information processing apparatus 100 has described with reference to an example of executing the provision processing at the timing when the voice information or the biological information is acquired by the acquisition unit 131, but the present invention is not limited to this. For example, the providing unit 133 provides utterance information based on the loudness of the child's crying, the fluctuation of the voice strength, the fluctuation of the physical condition based on the biological information of the child, and the fluctuation of the condition of the child or the parent. May be good. Further, the providing unit 133 may have a timer function based on a time set in advance for the parent, and may execute the providing process at the set time.

In addition, the providing unit 133 may request the parent to provide permission in advance for the utterance content indicated by the utterance information to be provided. For example, the parent may be made to select the frequency of providing the utterance information including the utterance content of the content that comforts the child. For example, it is assumed that the frequency is divided into three stages such as high, medium, and low. It is also assumed that the parent has previously selected the "high" frequency. In this case, the providing unit 133 may provide the child with utterance information including a comforting content a predetermined number of times or more corresponding to the "high" frequency.

[4-6. Estimated information]
In the above embodiment, an example in which the estimation unit 132 of the information processing apparatus 100 estimates information about the emotions of the child based on the voice information acquired by the acquisition unit 131 has been described, but the present invention is not limited to this. .. For example, assume that the child is just crying without any intention (eg, twilight crying, etc.). In this case, the estimation unit 132 may estimate that there is no cause for the child to cry. Then, the providing unit 133 may provide utterance information for reducing the stress of the mother based on the estimation result.

For example, the provider 133 said, "I don't know, but it looks like I'm crying," along with information that shows the emotions of the child who is crying for no particular reason. Providing the speaker 10 with advice suggesting not to take a direct response, such as "Wait a minute", as utterance information. Then, the speaker 10 may output such utterance information to the mother as voice.

[4-7. Utterance information]
In the above embodiment, the utterance information has been described with reference to an example in which the utterance information is the utterance information for inducing the state of the child to a predetermined state, but the present invention is not limited to this. For example, the utterance information may be utterance information including the utterance content indicating the explanation of the current time such as "Now, it is X hours YY minutes". In addition, the utterance information includes utterances including memorandum utterances such as "I always do things like ZZZ at X, but do you not do ZZZ today?" And "Don't forget to do KKK?" It may be information. As described above, the utterance information may be the content that can be output even if the child's condition does not change.

[4-8. Voice authentication]
In the above embodiment, an example in which the acquisition unit 131 of the information processing apparatus 100 acquires voice information has been described, but the present invention is not limited to this. For example, it is assumed that information about the child's voice, a feature amount of the child's voice, and the like are registered in the storage unit 120 of the information processing apparatus 100 in advance. In this case, the acquisition unit 131 may determine whether or not the voice indicated by the acquired voice information is a child's voice. For example, the acquisition unit 131 collates the voice information indicating the voice emitted by the child with the voice information stored in the storage unit 120 in advance by using the voice recognition technique, and the person who made the speech is a child. Determine if it exists. For example, the acquisition unit 131 determines that the child is emitting a voice when the voice information indicating the voice emitted by the child and the voice information stored in the storage unit 120 match.

For example, when the acquisition unit 131 determines that the voice indicated by the acquired voice information is a child's voice, the acquisition unit 131 may store the acquired voice information in the estimation information storage unit 121. On the other hand, when the acquisition unit 131 determines that the voice indicated by the acquired voice information is not the voice of a child, the acquisition unit 131 does not have to store the acquired voice information in the estimation information storage unit 121. Further, the acquisition unit 131 may execute the above determination process on the voice of the mother.

[4-9. Estimating the state of the parent (1)]
In the above embodiment, the provision unit 133 of the information processing apparatus 100 has described with reference to an example of providing utterance information for guiding a child to a predetermined state according to voice information, but the present invention is not limited to this. For example, the providing unit 133 may provide utterance information for guiding the mother according to the voice information to a predetermined state.

Here, an example of the provision process executed by the information processing apparatus 100 according to the modified example will be described with reference to FIG. FIG. 11 is a diagram showing an example of the provision process executed by the information processing apparatus 100 according to the modified example.

As shown in FIG. 11, the information processing system 4 according to the modified example includes a speaker 10 and an information processing device 100. The speaker 10 and the information processing apparatus 100 are connected so as to be communicable by wire or wirelessly via a predetermined network (not shown). The information processing system 4 shown in FIG. 11 may include a plurality of speakers 10 and a plurality of information processing devices 100.

Since the speaker 10 according to the modified example performs the same processing as the speaker 10 according to the first embodiment, the description thereof will be omitted.

Since the information processing apparatus 100 according to the modified example executes the same processing as the information processing apparatus 100 according to the first embodiment, the description thereof will be omitted.

Hereinafter, an example of the provision process by the information processing apparatus 100 will be described along the flow with reference to FIG. In the following description, an example will be given in which the subject is a child BA1 and the corresponding person corresponding to the subject is the mother PA1 of the child BA1.

In the example of FIG. 11, the information processing apparatus 100 estimates the state of the mother PA1. Then, the information processing apparatus 100 provides utterance information for inducing the mother to a calm state or a relieved state according to the estimation result. Further, in the example of FIG. 11, it is assumed that the child BA1 is crying. Also, the mother PA1 is assumed to be frustrated.

First, as shown in FIG. 11, the information processing apparatus 100 acquires voice information (step S41). For example, the speaker 10 acquires information about the crying voice of the child BA1. Then, the information processing apparatus 100 acquires information about the crying voice of the child BA1 from the speaker 10.

Subsequently, the information processing apparatus 100 estimates the state of the parent based on the acquired voice (step S42). For example, the information processing apparatus 100 determines whether or not the acquired voice is crying. Further, the information processing apparatus 100 determines whether or not the crying continues for a predetermined period or longer. Here, it is assumed that the information processing apparatus 100 determines that the voice is crying and that the crying continues for a predetermined period or longer. In this case, the information processing apparatus 100 presumes that the emotion of the mother PA1 is frustrated as the state of the parent.

As another example, the information processing apparatus 100 determines whether or not the acquired voice is a crying voice, and whether or not the acquired voice includes a frustrating voice, a yelling voice, a loud voice, or the like. Is determined. Here, it is assumed that the information processing apparatus 100 determines that the voice is a crying voice and that the voice includes a voice that seems to be frustrating. In this case, the information processing apparatus 100 presumes that the emotion of the mother PA1 is frustrated as the state of the parent.

Then, the information processing apparatus 100 provides the utterance information to the speaker 10 (step S43). For example, when the estimated emotion of the mother PA1 is frustrated, the information processing apparatus 100 selects the utterance information including the utterance content "It is okay not to panic!" To reassure the mother PA1. do. Then, the information processing apparatus 100 provides the selected utterance information to the speaker 10. Further, the information processing apparatus 100 may include voice information to be output to the mother PA1 in the utterance information. For example, the information processing apparatus 100 may include artificial voice information in the utterance information as voice information to be output to the mother PA1 and provide the utterance information to the speaker 10.

Subsequently, the speaker 10 outputs the utterance information as voice to the mother PA1 (step S44). For example, the speaker 10 outputs a voice such as "You don't have to panic!" To the mother PA1.

Further, in step S42, the information processing apparatus 100 may estimate the state of the child based on the acquired voice. For example, the information processing apparatus 100 determines whether or not the acquired voice is crying. Further, when the voice is crying, the information processing apparatus 100 analyzes the crying voice of the child. Then, the information processing apparatus 100 may estimate the emotion of the child based on the characteristic waveform indicated by the crying voice. Here, it is assumed that the information processing apparatus 100 presumes that the child's emotions are unpleasant, frustrated, or sad. As the estimation process, various known emotion estimation techniques using voice information can be adopted.

Then, the information processing apparatus 100 may provide the utterance information to the speaker 10. For example, the information processing apparatus 100 is a child when the estimated emotion of the mother PA1 is frustrated and when the estimated emotion of the child is unpleasant, frustrated or sad. Select the utterance information that includes the utterance content that makes you stop crying, "When you hear the voice of an infant, it seems that the diaper is wet, so prepare the diaper." Then, the information processing apparatus 100 may provide the selected utterance information to the speaker 10.

Then, the speaker 10 may output the utterance information as voice to the mother PA1. For example, the speaker 10 may output a voice such as "When listening to the voice of an infant, the diaper seems to be wet, so prepare the diaper" to the mother PA1. As a result, the information processing apparatus 100 can propose to the mother an action that makes the child stop crying.

In this way, the information processing apparatus 100 provides a voice that reassures the mother herself. As a result, the information processing apparatus 100 can provide the mother with an opportunity to be calm because the voice is a voice that speaks to the mother and is a voice from a third party. Further, the information processing apparatus 100 can propose a solution when the mother has difficulty in dealing with the child. Thereby, the information processing apparatus 100 can appropriately support the child-rearing or child-rearing of the mother and provide the function as a co-caregiver.

[4-10. Estimating the state of the parent (2)]
In the above embodiment, the provision unit 133 of the information processing apparatus 100 has described with reference to an example of providing utterance information for guiding a child to a predetermined state according to voice information, but the present invention is not limited to this. For example, the providing unit 133 may provide utterance information for guiding the mother according to the voice information to a predetermined state.

Here, an example of the provision process executed by the information processing apparatus 100 according to the modified example will be described with reference to FIG. FIG. 12 is a diagram showing an example of the provision process executed by the information processing apparatus 100 according to the modified example.

As shown in FIG. 12, the information processing system 5 according to the modified example includes a speaker 10, a sensor 20, and an information processing device 100. The speaker 10, the sensor 20, and the information processing apparatus 100 are communicably connected by wire or wirelessly via a predetermined network (not shown). The information processing system 5 shown in FIG. 12 may include a plurality of speakers 10, a plurality of sensors 20, and a plurality of information processing devices 100.

Since the speaker 10 according to the modified example performs the same processing as the speaker 10 according to the first embodiment, the description thereof will be omitted.

Since the sensor 20 according to the modified example performs the same processing as the sensor 20 according to the second embodiment, the description thereof will be omitted.

Since the information processing apparatus 100 according to the modified example executes the same processing as the information processing apparatus 100 according to the first embodiment, the description thereof will be omitted.

Hereinafter, an example of the provision process by the information processing apparatus 100 will be described along the flow with reference to FIG. 12. In the following description, an example will be given in which the subject is a child BA1 and the corresponding person corresponding to the subject is the mother PA1 of the child BA1.

In the example of FIG. 12, the information processing apparatus 100 estimates the state of the mother PA1. Then, the information processing apparatus 100 provides utterance information for inducing the mother to a calm state or a relieved state according to the estimation result. Further, in the example of FIG. 12, it is assumed that the child BA1 is crying. Also, the mother PA1 is assumed to be frustrated.

First, as shown in FIG. 12, the information processing apparatus 100 acquires the biometric information of the parent detected by the sensor 20 (step S51). For example, the sensor 20 acquires biological information such as an increase in the heart rate of the mother PA1, an increase in body temperature, and an increase in sweating amount. Then, the information processing apparatus 100 acquires such biological information from the sensor 20.

Subsequently, the information processing apparatus 100 estimates the state of the parent based on the acquired biological information (step S52). For example, the information processing apparatus 100 determines whether or not any of the acquired biometric information, such as an increase in the heart rate of the mother PA1, an increase in body temperature, or an increase in the amount of sweating, satisfies a predetermined condition. For example, the information processing apparatus 100 estimates that the mother's emotions are frustrated when the increase in heart rate is a fluctuation of a predetermined threshold value or more. As the estimation process, various known emotion estimation techniques using biological information can be adopted.

Then, the information processing apparatus 100 provides the utterance information to the speaker 10 (step S53). For example, when the estimated mother's feelings are frustrated, the information processing apparatus 100 selects utterance information including the utterance content "It is okay not to panic!" To reassure the mother. Then, the information processing apparatus 100 provides the selected utterance information to the speaker 10. Further, the information processing apparatus 100 may include voice information to be output to the mother PA1 in the utterance information.

Subsequently, the speaker 10 outputs the utterance information as voice to the mother PA1 (step S54). For example, the speaker 10 outputs a voice such as "You don't have to panic!" To the mother PA1. In this way, the information processing apparatus 100 can provide voice suitable for the state of the mother.

[4-11. Estimating the state of the parent (3)]
In the above embodiment, the provision unit 133 of the information processing apparatus 100 has described with reference to an example of providing utterance information for guiding a child to a predetermined state according to voice information, but the present invention is not limited to this. For example, the providing unit 133 may provide utterance information for guiding the mother according to the voice information to a predetermined state.

Here, an example of the provision process executed by the information processing apparatus 100 according to the modified example will be described with reference to FIG. FIG. 13 is a diagram showing an example of the provision process executed by the information processing apparatus 100 according to the modified example.

As shown in FIG. 13, the information processing system 6 according to the modified example includes a speaker 10, a sensor 21, a sensor 22, and an information processing device 100. The speaker 10, the sensor 21, the sensor 22, and the information processing apparatus 100 are communicably connected by wire or wirelessly via a predetermined network (not shown). The information processing system 6 shown in FIG. 13 may include a plurality of speakers 10, a plurality of sensors 21, a plurality of sensors 22, and a plurality of information processing devices 100.

Since the speaker 10 according to the modified example performs the same processing as the speaker 10 according to the first embodiment, the description thereof will be omitted.

Since the sensors 21 and 22 according to the modified example perform the same processing as the sensor 20 according to the second embodiment, the description thereof will be omitted.

Since the information processing apparatus 100 according to the modified example executes the same processing as the information processing apparatus 100 according to the first embodiment, the description thereof will be omitted.

Hereinafter, an example of the provision process by the information processing apparatus 100 will be described along the flow with reference to FIG. In the following description, an example will be given in which the subject is a child BA1 and the corresponding person corresponding to the subject is the mother PA1 of the child BA1. Further, in the example of FIG. 13, it is assumed that the sensor 21 is installed around the child BA1 and the sensor 22 is installed around the mother PA1.

In the example of FIG. 13, the information processing apparatus 100 estimates the state of the mother PA1. Then, the information processing apparatus 100 provides utterance information for inducing the mother to a calm state or a relieved state according to the estimation result. Further, in the example of FIG. 13, it is assumed that the child BA1 is crying. Also, the mother PA1 is assumed to be frustrated.

First, as shown in FIG. 13, the information processing apparatus 100 acquires the biological information of the child detected by the sensor 21 (step S61). Further, the information processing apparatus 100 acquires the biometric information of the parent detected by the sensor 22 (step S62).

For example, the sensor 21 acquires biological information such as an increase in the heart rate of the child BA1, an increase in body temperature, and an increase in the amount of sweating. Then, the information processing apparatus 100 acquires such biological information from the sensor 21.

In addition, the sensor 22 acquires biological information such as an increase in the heart rate of the mother PA1, an increase in body temperature, and an increase in the amount of sweating. Then, the information processing apparatus 100 acquires such biological information from the sensor 22.

Subsequently, the information processing apparatus 100 estimates the state of the parent based on the combination of the acquired biological information of the child and the biological information of the parent (step S63). For example, the information processing apparatus 100 determines whether or not any of the acquired biometric information, such as an increase in the heart rate of the child BA1, an increase in body temperature, or an increase in the amount of sweating, satisfies a predetermined condition. Further, the information processing apparatus 100 determines whether or not any of the acquired biometric information, such as an increase in the heart rate of the mother PA1, an increase in body temperature, or an increase in the amount of sweating, satisfies a predetermined condition. For example, in the information processing apparatus 100, when the increase in the heart rate of the child BA1 is a fluctuation of a predetermined threshold or more, and the increase in the heart rate of the mother PA1 is a fluctuation of a predetermined threshold or more, the emotion of the mother is expressed. Estimate to be frustrated. As the estimation process, various known emotion estimation techniques using biological information can be adopted.

Then, the information processing apparatus 100 provides the utterance information to the speaker 10 (step S64). For example, when the estimated mother's feelings are frustrated, the information processing apparatus 100 selects utterance information including the utterance content "It is okay not to panic!" To reassure the mother. Then, the information processing apparatus 100 provides the selected utterance information to the speaker 10. Further, the information processing apparatus 100 may include voice information to be output to the mother PA1 in the utterance information.

Subsequently, the speaker 10 outputs the utterance information as voice to the mother PA1 (step S65). For example, the speaker 10 outputs a voice such as "You don't have to panic!" To the mother PA1. In this way, the information processing apparatus 100 can provide voice suitable for the state of the mother.

The information processing apparatus 100 may provide utterance information to the child as utterance information for guiding the target person to a predetermined state according to the state of the corresponding person. For example, when the estimated mother's emotions are frustrating, the information processing apparatus 100 selects utterance information including the utterance content "Mother is taking a short break, so please wait for a while". .. Then, the information processing apparatus 100 provides the selected utterance information to the speaker 10. Further, the information processing apparatus 100 may include voice information to be output to the mother PA1 in the utterance information.

Subsequently, the speaker 10 outputs the utterance information as voice to the child. For example, the speaker 10 outputs a voice such as "Mother is taking a break for a while, so please wait for a while" to the child.

In this way, the information processing apparatus 100 can speak to the target person depending on the state of the corresponding person. As a result, even if the responder is in a state where it is difficult to respond to advice from others due to frustration, etc., the responder can grasp his / her own condition and get an opportunity to prepare it. You will be able to provide appropriate care.

[4-12. Estimate behavior]
In the above embodiment, the estimation unit 132 of the information processing apparatus 100 has described by giving an example of estimating information regarding the emotion of a child based on the biological information acquired by the acquisition unit 131, but the present invention is not limited to this. .. For example, the estimation unit 132 may estimate information about the behavior of the child based on the sensor information detected by the sensor 20 attached to the child.

For example, it is assumed that the sensor 20 has a shooting function by a camera. In this case, the estimation unit 132 may estimate whether the child is moving significantly, turning over, or hiking based on the still image or moving image detected by the camera. good. Here, it is assumed that the child is able to go high and high well.

Then, the providing unit 133 may provide the speaker 10 with utterance information including the utterance content "You are doing well! It's amazing" for complimenting that the child is doing well. Then, the speaker 10 may output a voice such as "It's done well! It's amazing" to the child.

In this way, the estimation unit 132 of the information processing apparatus 100 according to the embodiment estimates information regarding the behavior of the child. Then, the providing unit 133 provides the utterance information according to the behavior of the child. As a result, the providing unit 133 can promote the growth of the child because it provides the utterance information with the content of complimenting the behavior of the child.

As another example, it is assumed that the sensor 20 has various distance sensors. In this case, the estimation unit 132 may estimate whether the child is in contact with the stuffed animal or the like based on the sensor information detected by the distance sensor. Also, it is assumed that the toy has a contact sensor. In this case, the estimation unit 132 may estimate which toy the child is playing with based on the sensor information detected by the contact sensor acquired from the toy by the acquisition unit 131.

Further, as the estimation process, various known behavior estimation techniques using sensor information can be adopted. For example, the estimation process is realized by a learning model such as a neural network that learns the relationship between the child's sensor information and the information about the child's behavior. Such a learning model outputs information about the child's behavior when the sensor information is input.

In addition, the learning model may feed back the reaction of the child or the reaction of the parent to perform re-learning. The re-learning here is realized by, for example, a learning model in which the relationship between the sensor information of the child, the information about the behavior of the child, and the reaction of the child is further learned. In addition, re-learning is realized by a learning model that further learns the relationship between the sensor information of the child, the information about the behavior of the child, and the reaction of the parent. In addition, re-learning is realized by a learning model that further learns the relationship between the child's sensor information, the information about the child's behavior, the child's reaction, and the parent's reaction. Here, the reaction of the child or the parent may be a binarized value such as having an effect or not having an effect, or may be a score that can take a value of 0 to 1 indicating the degree of the effect. good. Thereby, the estimation process can improve the accuracy of estimating the information regarding the behavior of the child.

Further, the estimation unit 132 may estimate information regarding the behavior of the mother based on the sensor information detected by the sensor 20 attached to the mother. For example, it is assumed that the sensor 20 has a shooting function by a camera. In this case, the estimation unit 132 may estimate the degree of busyness due to the mother's housework, work, etc., based on the still image or the moving image detected by the camera. Here, it is assumed that the mother is busy. As the estimation process, various known behavior estimation techniques using sensor information can be adopted.

Then, since the mother is busy, the providing unit 133 may provide the speaker 10 with utterance information including the utterance content "Yoshiyoshi" and "Nainaiba" for comforting the child. Then, the speaker 10 may output a voice such as "OK" or "Not" to the child.

In this way, the estimation unit 132 of the information processing apparatus 100 according to the embodiment estimates information regarding the behavior of the mother. Then, the providing unit 133 provides the child with utterance information according to the behavior of the mother. As a result, the providing unit 133 can reduce the burden of child-rearing or child-rearing of the mother.

[4-13. Learning model]
In the above embodiment, an example in which the providing unit 133 of the information processing apparatus 100 provides speech information for guiding a child to a predetermined state according to voice information has been described, but conventional techniques such as machine learning are used. Then, a learning model that learns the type of speech content and the timing of voice output may be generated.

For example, the providing unit 133 learns the relationship between the period until the child stops crying and the utterance content indicated by the utterance information when the utterance information is output from the speaker 10 as voice, and the utterance content indicated by the utterance information. A learning model may be generated to output a score indicating the degree to which crying is likely to stop when is input. Here, the period until the child stops crying is estimated by recording the crying voice with the speaker 10.

For example, the learning model learns so that the score of the utterance content that the child stops crying for a short period of time is high. In addition, the learning model may learn the utterance content that the child did not stop crying as a negative example.

Thereby, the providing unit 133 can provide the utterance information including the utterance content belonging to the type of the utterance content optimized for the child based on the learning model. The learning model may feed back the reaction of the child or the reaction of the parent to perform re-learning.

[4-14. others〕
Of the above-mentioned processes, all or part of the processes described as being automatically performed may be performed manually. In addition, all or part of the processing described as being performed manually may be performed automatically by a known method. In addition, the processing procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure. Further, each component may be functionally or physically distributed / integrated in any unit according to various loads, usage conditions, etc., in whole or in part thereof.

For example, the providing process executed by the information processing apparatus 100 may be executed by the terminal apparatus 30. In this case, the terminal device 30 has a functional configuration of the information processing device 100.

Further, instead of the speaker 10, the terminal device 30 may have an audio output function. For example, instead of the speaker 10, another terminal device different from the terminal device 30 used by the corresponding person may be responsible for the audio output function.

Further, an information processing device having a built-in speaker in which the information processing device 100 and the speaker 10 are integrated may execute the above-mentioned provision process.

In addition, the above-mentioned processes may be appropriately combined and executed within a consistent range.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the providing unit can be read as a providing means or a providing circuit.

[5. Hardware configuration]
Further, the terminal device 30 and the information processing device 100 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 14 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic device 1030, the cache 1040, the memory 1050, the output IF (Interface) 1060, the input IF 1070, and the network IF 1080 are connected by the bus 1090.

The arithmetic unit 1030 operates based on a program stored in the cache 1040 or the memory 1050, a program read from the input device 1020, or the like, and executes various processes. The cache 1040 is a cache that temporarily stores data used by the arithmetic unit 1030 for various operations such as RAM. Further, the memory 1050 is a storage device in which data used by the arithmetic unit 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), a flash memory, or the like. Memory.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a monitor and a printer. For example, USB (Universal Serial Bus), DVI (Digital Visual Interface), and the like. It may be realized by a connector of a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). On the other hand, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, a scanner, and the like, and is realized by, for example, USB.

For example, the input device 1020 includes an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), and a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), and a tape medium. It may be realized by a device that reads information from a magnetic recording medium, a semiconductor memory, or the like. Further, the input device 1020 may be realized by an external storage medium such as a USB memory.

The network IF 1080 has a function of receiving data from another device via the network N and sending the data to the arithmetic unit 1030, and transmitting the data generated by the arithmetic unit 1030 to the other device via the network N.

Here, the arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the memory 1050 onto the cache 1040, and executes the loaded program. For example, when the computer 1000 functions as the information processing device 100, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the cache 1040.

The embodiments of the present application have been described in detail with reference to the drawings. However, these are examples, and the embodiments of the present application shall be carried out in other embodiments which have been modified or improved in various ways based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. Is possible.

N Network 1, 2, 3, 4, 5, 6 Information processing system 10 Speaker 20, 21, 22 Sensor 30 Terminal device 100 Information processing device 110 Communication unit 120 Storage unit 121 Estimated information storage unit 122 Speech information storage unit 123 Voice information Storage unit 130 Control unit 131 Acquisition unit 132 Estimating unit 133 Providing unit

Claims (17)

An acquisition unit that acquires detection information detected by a detection means that detects the state of the target person supported by the responder,
An information processing apparatus including a providing unit that provides utterance information regarding utterances for guiding the target person to a predetermined state according to the detection information. Further, an estimation unit for estimating information about the emotion of the subject based on the detection information is provided.
The providing part
The information processing apparatus according to claim 1, further comprising providing utterance information for guiding the subject to a predetermined state according to the emotion of the subject estimated by the estimation unit. The providing part
The information processing apparatus according to claim 2, further comprising providing utterance information for inducing a calm state as the predetermined state. The providing part
A claim characterized by providing information on a proposed action to the target person to the responder while providing utterance information for guiding the target person to the predetermined state according to the detection information. Item 6. The information processing apparatus according to any one of Items 1 to 3. The acquisition unit
Acquire the detection information about the responder detected by the detection means, and
The providing part
The information processing apparatus according to any one of claims 1 to 4, wherein the information processing apparatus is provided with utterance information for guiding the responder to a predetermined state according to the detection information. The providing part
5. The fifth aspect of the present invention is to provide utterance information for guiding the target person to a predetermined state when the feeling of the corresponding person, which is estimated based on the detection information about the corresponding person, shows an emotion of anger. The information processing device described in. The providing part
5. Claim 5 is characterized in that when the emotion of the responder estimated based on the detection information about the responder shows an emotion of anger, the utterance information for guiding the responder to a predetermined state is provided. Or the information processing apparatus according to 6. The providing part
Any of claims 5 to 7, wherein the utterance information for guiding the target person to a predetermined state is provided according to the behavior of the corresponding person estimated based on the detection information about the corresponding person. The information processing device described in one. The providing part
Any of claims 1 to 8, wherein the speech information for guiding the target person to a predetermined state is provided according to the behavior of the target person estimated based on the detection information about the target person. The information processing device described in one. The providing part
The information processing apparatus according to claim 9, wherein the utterance information is provided with utterance information related to the utterance for complimenting the target person. The acquisition unit
The detection information about the target person detected by the detection means and the detection information about the corresponding person are acquired, and the detection information is acquired.
The providing part
Claims 1 to 1 to provide utterance information for guiding the target person or the corresponding person to a predetermined state according to a combination of the detection information about the target person and the detection information about the corresponding person. The information processing apparatus according to any one of 10. The acquisition unit
Acquires voice information about the voice of the target person detected by the detection means, and obtains voice information.
The providing part
The information processing apparatus according to any one of claims 1 to 11, wherein the information processing apparatus is provided with utterance information for guiding the target person to the predetermined state in response to the voice information. The acquisition unit
The voice information of the corresponding person detected by the detection means is acquired, and the voice information is obtained.
The providing part
The information processing apparatus according to any one of claims 1 to 12, characterized in that it provides utterance information for guiding the corresponding person to the predetermined state in response to the voice information. The acquisition unit
Acquiring the biological information of the subject detected by the detection means,
The providing part
The information processing apparatus according to any one of claims 1 to 13, further comprising providing utterance information for guiding the subject to the predetermined state according to the biological information. The acquisition unit
Acquiring the biometric information of the responder detected by the detection means,
The providing part
The information processing apparatus according to any one of claims 1 to 14, further comprising providing utterance information for guiding the corresponding person to the predetermined state according to the biological information. It is an information processing method executed by a computer.
The acquisition process of acquiring the detection information detected by the detection means that detects the state of the target person to be dealt with by the responder,
An information processing method comprising a providing step of providing utterance information regarding utterances for guiding the target person to a predetermined state according to the detection information. The acquisition procedure for acquiring the detection information detected by the detection means that detects the state of the target person supported by the responder, and
An information processing program characterized by causing a computer to execute a provision procedure for providing utterance information regarding utterances for guiding the target person to a predetermined state according to the detection information.

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