Abstract: A body shape management system includes: an acquisition unit configured to acquire information about an actual body shape of a user and information about a target body shape of the user that he/she wants to have after a lapse of a set period; a display control unit configured to display at least an avatar representing the target body shape of the user acquired by the acquisition unit on a monitor; a plan calculation unit configured to calculate at least one plan for a behavioral item that the user should perform during the set period based on the actual body shape of the user and the target body shape of the user that he/she wants to have after the lapse of the set period; and an output unit configured to output the at least one plan calculated by the plan calculation unit.

Abstract: The control system includes a calculation unit configured to control a voice interaction system including voice recognition models, in which the calculation unit instructs, when a conversation with a target person is started, the voice interaction system to first perform voice recognition and response generation by one voice recognition model tentatively selected from among the voice recognition models, determines a voice recognition model estimated to be optimal among the voice recognition models held in the voice interaction system based on results of the voice recognition of a speech made by the target person in a voice recognition server, and instructs, when the voice recognition model estimated to be optimal is different from the one voice recognition model tentatively selected, the voice interaction system to switch the voice recognition model to the one estimated to be optimal and to perform voice recognition and response generation.

Abstract: The present disclosure provides a virtual space sharing system capable of outputting a virtual image in which a plurality of users share a virtual space between the plurality of users in a two-way direction. A first exemplary aspect is a virtual space sharing system includes: a motion acquisition unit configured to acquire a motion of a user present in each of a plurality of spaces; an image generation unit configured to generate a virtual image in which avatars corresponding to the respective users operate in a virtual space shared in the plurality of spaces based on the motions of the respective users; and an output unit configured to output a virtual image in which avatars of other users operate in the virtual space to a display unit disposed in each of the plurality of spaces.

Abstract: A voice interaction system performs a voice interaction with a user. The voice interaction system includes: topic detection means for estimating a topic of the voice interaction and detecting a change in the topic that has been estimated; and ask-again detection means for detecting, when the change in the topic has been detected by the topic detection means, the user's voice as ask-again by the user based on prosodic information on the user's voice.

Abstract: To provide a lesson system, a lesson method, and a program by which a high learning effect is achieved. A lesson system includes: an experience video storage unit configured to store an experience video based on an actual experience of an experiencer; a sensor configured to detect a motion of a student; a microphone configured to detect a voice of the student; a reproduction processing unit configured to generate a lesson video in which an image of a teacher is superimposed on the experience video; a display unit configured to display the lesson video to the student; a speaker for outputting audio configured to output audio corresponding to the lesson video; and a progression control unit configured to control progression of the lesson video displayed on the display unit in accordance with the result of detection by at least one the sensor and the microphone.

Abstract: To provide a remote shopping system, a remote shopping method, and a program that are high convenient. A remote shopping system according to an embodiment includes: a camera for acquiring a captured image of a product; a transmission unit configured to transmit an output signal for display to a display unit for displaying the captured image to a user; an input unit configured to accept an instruction for changing at least one of a relative position and a relative angle between the product and the camera based on a detection result of a sensor configured to detect a motion of the user; and a moveable mechanism configured to change at least one of the relative position and the relative angle between the product and the camera based on the instruction accepted by the input unit.

Abstract: The present disclosure provides a matching system capable of performing appropriate matching among persons based on the movements of these persons. A first exemplary aspect is a matching system, including: an acquisition unit configured to acquire information about movement of a person in a time series; a calculation unit configured to calculate a similarity score numerically indicating a similarity between the acquired information about the movement of the person and information about movement of a person with whom a comparison is to be made by comparing the acquired information about the movement of the person with the information about movement of the person with whom the comparison is to be made; and a generation unit configured to generate matching information based on the similarity score.

Abstract: A control system which can accurately differentiate a person from another object while protecting privacy is provided. A control system according to an embodiment of the present disclosure includes a first acquisition unit configured to acquire radar detection information with a detection range being set within a predetermined environment; a second acquisition unit configured to acquire temperature detection information with the detection range being set within the environment; a differentiation unit configured to differentiate whether an object in the environment is a person or another object based on the radar detection information and the temperature detection information; and a control unit configured to control an electric device disposed in the environment based on differentiation result information of whether the object is the person or the other object.

Abstract: A voice interaction system performs a voice interaction with a user. The voice interaction system includes: ask-again detection means for detecting ask-again by the user; response-sentence generation means for generating, when the ask-again has been detected by the ask-again detection means, a response sentence for the ask-again in response to the ask-again based on a response sentence responding to the user before the ask-again; and storage means for storing a history of the voice interaction with the user. The response-sentence generation means generates, when the response sentence includes a word whose frequency of appearance in the history of the voice interaction in the storage means is equal to or smaller than a first predetermined value, a response sentence for the ask-again formed of only this word or a response sentence for the ask-again in which this word is emphasized in the response sentence.

Abstract: The control apparatus includes: a calculation unit configured to control a voice interaction apparatus including a speech section detector, the speech section detector being configured to identify whether an acquired voice includes a speech made by a target person by a set identification level and perform speech section detection, in which the calculation unit instructs, when an estimation result indicating that it is highly likely that the speech made by the target person is included in the acquired voice has been acquired from a voice recognition server, the voice interaction apparatus to change a setting in such a way as to lower the identification level of the speech section detector, and to perform communication with the voice recognition server by speech section detection in accordance with the identification level after the change.

Abstract: A voice interaction system capable of appropriately handling a situation to effectively prevent a response error from occurring. A speech acquisition unit 102 acquires user speech. A feature extraction unit 104 extracts a feature of the acquired user speech. A response determination unit 120 determines a response corresponding to the extracted feature using any one of a plurality of learning models. A response execution unit 130 performs control in order to execute the determined response. A response error determination unit 140 determines whether the executed response is an error. A learning model selection unit 150 selects the learning model from the plurality of learning models stored in a learning model database 160 according to a result of the determination by the response error determination unit 140. The response determination unit 120 determines the response using the selected learning model.

Abstract: A response sentence generation apparatus includes a conversion device for converting an input voice of a user into text information, an extraction device for extracting prosodic information from the input voice, a specifying device for specifying an emotion occurrence word indicating an occurrence of an emotion of the user based on the text information and the prosodic information, and a generation device for selecting a character string including the specified emotion occurrence word from the text information and generating a response sentence by performing predetermined processing on the selected character string.

Abstract: A voice dialogue apparatus analyzes an acquired user's voice, generates a parrot-like response sentence and outputs the generated parrot-like response sentence. The voice dialogue apparatus includes storage means for storing the user's past voice, average calculation means for calculating an average value of voice sentence lengths each indicating a length of the user's voice based on the user's past voice, candidate generation means for combining a dependency word, which establishes a dependency relation with a noun included in the acquired user's voice, with the noun to generate a plurality of response sentence candidates, and repetition generation means for selecting, in association with the average value of the voice sentence lengths, one response sentence candidate from among the plurality of response sentence candidates and using the selected response sentence candidate as it is or processing the selected response sentence candidate to generate the parrot-like response sentence.

Abstract: The control apparatus includes: a calculation unit configured to control a voice interaction apparatus including a speech section detector, the speech section detector being configured to identify whether an acquired voice includes a speech made by a target person by a set identification level and perform speech section detection, in which the calculation unit instructs, when an estimation result indicating that it is highly likely that the speech made by the target person is included in the acquired voice has been acquired from a voice recognition server, the voice interaction apparatus to change a setting in such a way as to lower the identification level of the speech section detector, and to perform communication with the voice recognition server by speech section detection in accordance with the identification level after the change.

Abstract: The control system includes a calculation unit configured to control a voice interaction system including voice recognition models, in which the calculation unit instructs, when a conversation with a target person is started, the voice interaction system to first perform voice recognition and response generation by one voice recognition model tentatively selected from among the voice recognition models, determines a voice recognition model estimated to be optimal among the voice recognition models held in the voice interaction system based on results of the voice recognition of a speech made by the target person in a voice recognition server, and instructs, when the voice recognition model estimated to be optimal is different from the one voice recognition model tentatively selected, the voice interaction system to switch the voice recognition model to the one estimated to be optimal and to perform voice recognition and response generation.

Abstract: A voice interaction system capable of appropriately handling a situation so as to effectively prevent a response error from occurring is provided. A speech acquisition unit acquires user speech. A feature extraction unit extracts a feature of the user speech. A response determination unit determines a response corresponding to the extracted feature vector using any one of a plurality of learning models. A response execution unit executes the determined response. A user state detection unit detects a user state. A learning model selection unit selects a learning model from a plurality of learning models in accordance with the detected user state. The response determination unit determines a response using the selected learning model.

Abstract: A syntactic analysis unit 104 performs a syntactic analysis for linguistic information on acquired user' speech (hereinafter simply referred to as “user speech”). A non-linguistic information analysis unit 106 analyzes non-linguistic information different from the linguistic information for the acquired user speech. A topic continuation determination unit 110 determines whether a topic of the current conversation should be continued or should be changed to a different topic according to the non-linguistic information analysis result. A response generation unit 120 generates a response according to a result of a determination by the topic continuation determination unit 110.

Abstract: A voice interaction system performs a voice interaction with a user. The voice interaction system includes: ask-again detection means for detecting ask-again by the user; response-sentence generation means for generating, when the ask-again has been detected by the ask-again detection means, a response sentence for the ask-again in response to the ask-again based on a response sentence responding to the user before the ask-again; and storage means for storing a history of the voice interaction with the user. The response-sentence generation means generates, when the response sentence includes a word whose frequency of appearance in the history of the voice interaction in the storage means is equal to or smaller than a first predetermined value, a response sentence for the ask-again formed of only this word or a response sentence for the ask-again in which this word is emphasized in the response sentence.

Abstract: A voice interaction system performs a voice interaction with a user. The voice interaction system includes: topic detection means for estimating a topic of the voice interaction and detecting a change in the topic that has been estimated; and ask-again detection means for detecting, when the change in the topic has been detected by the topic detection means, the user's voice as ask-again by the user based on prosodic information on the user's voice.

Abstract: A voice interaction system capable of appropriately handling a situation to effectively prevent a response error from occurring. A speech acquisition unit 102 acquires user speech. A feature extraction unit 104 extracts a feature of the acquired user speech. A response determination unit 120 determines a response corresponding to the extracted feature using any one of a plurality of learning models. A response execution unit 130 performs control in order to execute the determined response. A response error determination unit 140 determines whether the executed response is an error. A learning model selection unit 150 selects the learning model from the plurality of learning models stored in a learning model database 160 according to a result of the determination by the response error determination unit 140. The response determination unit 120 determines the response using the selected learning model.