Abstract: An information provision system is configured to detect driver information, which is information including biological information of a driver, transmit information acquired inside the vehicle to a user terminal provided outside the vehicle, acquire the driver information, extract information necessary for grasping health condition of the driver from the driver information to generate health-related information, and transmit the health-related information to the user terminal.

Abstract: An information provision system is configured to detect driver information, which is information including biological information of a driver, transmit information acquired inside the vehicle to a user terminal provided outside the vehicle, acquire the driver information, extract information necessary for grasping health condition of the driver from the driver information to generate health-related information, and transmit the health-related information to the user terminal.

Abstract: To suppress damage to recycled carbon fibers (deterioration of the recycled carbon fibers), the present disclosure includes a first treatment step of immersing carbon fiber reinforced plastic in an acidic aqueous solution to dissolve at least a part of resin content of the carbon fiber reinforced plastic and a second treatment step of immersing a treated product subjected to the first treatment step in an alkaline aqueous solution having foaming properties to dissolve at least a part of resin content of the treated product.

Abstract: A modified carbon fiber includes carbon atoms in which a proportion of carbon atoms to which a functional group containing at least one of an oxygen atom and a nitrogen atom is bonded are 55.5 atomic % or more and 68.0 atomic % or less, when a total of carbon atoms present on a surface of the carbon fiber and a surface of an internal void inside the carbon fiber is 100 atomic %.

Abstract: A personal information system includes an acquisition unit, a storage unit, a personal storage unit, and a control unit. The acquisition unit is configured to identify an occupant of a vehicle and acquire a status of the occupant. The storage unit stores usage history information of a vehicle device and state information of the occupant acquired by the acquisition unit. The personal storage unit is set for each occupant and is configured to retrieve, as personal information, the usage history information and the state information from the storage unit for each occupant and sequentially store the usage history information and the state information. The control unit is configured to perform control that utilizes the personal information stored in the personal storage unit to provide a service, in a manner matching characteristics of each occupant when operating the vehicle device.

Abstract: A device for mobile object, which is usable in a mobile object, includes an occupant information specifying unit and a request estimation unit. The occupant information specifying unit specifies an occupant information record for each of multiple occupants existing in the mobile object by distinguishing the multiple occupants from one another. The multiple occupants are detected by a sensor of the mobile object. The request estimation unit estimates a request of one of the multiple occupants corresponding to a combination of the occupant information records of the multiple occupants based on the occupant information records of the multiple occupants specified by the occupant information specifying unit.

Abstract: In a technique for controlling a first vehicle, display information and position specifying information are received from a second vehicle different from the first vehicle via inter-vehicle communications. The display information is information for display and independently set for the second vehicle in the second vehicle. The position specifying information is information for specifying a position of the second vehicle. The position of the second vehicle relative to the first vehicle is specified based on the position specifying information. Display on a display device is controlled to superimpose information indicated by the display information on the position of the second vehicle in a landscape in front of the first vehicle based on the position of the second vehicle and the display information.

Abstract: A human machine interface is configured to select an information display destination from among a plurality of display areas. The HCU acquires a sight line direction of a driver based on an image of an in-vehicle camera. The HCU displays, upon detecting a hop-off action of the driver based on an output signal of an in-vehicle sensor in a situation in which an attention target event such as a puddle, a step, other vehicle or the like exists on a road surface near a door of a driver's seat, in the display area corresponding to the driver's sight line direction, text or an image practically indicating (a) a content of an attention target event or (b) how to deal with a situation.

Abstract: An information provision system is configured to detect driver information, which is information including biological information of a driver, transmit information acquired inside the vehicle to a user terminal provided outside the vehicle, acquire the driver information, extract information necessary for grasping health condition of the driver from the driver information to generate health-related information, and transmit the health-related information to the user terminal.

Abstract: A method includes (a) obtaining a search word, (b) obtaining first to third concept maps including words and semantic distances between the words, (c) obtaining a first association map including degrees of association indicating how close the semantic distances included in the first and second concept maps are to each other; (d) obtaining a second association map including degrees of association indicating how close the semantic distances included in the first to third concept maps are to one another, (e) extracting, from the words as an associated word, at least one word whose difference between the degree of association with the search word included in the first association map and the degree of association with the search word included in the second association map is equal to or larger than a first threshold, and (f) outputting a result of a search based on the search word and the associated word.

Abstract: An information processing method includes acquiring first text information from a storage apparatus in which the first text information representing one or more utterance sentences is stored as a learning data set, identifying one or more named entities included in the acquired first text information, replacing each of the one or more identified named entities with an abstract expression abstracted based on a predetermined rule thereby generating second text information from the first text information, and learning a model of a dialogue system using, as training data, the second text information generated in the replacing.

Abstract: A method for expanding a word performed by a processor includes (a) obtaining a first word, (b) obtaining, from a memory, a concept map that is unique to a user and that includes a plurality of second words and semantic distances between the plurality of second words, the plurality of second words including words belonging to different categories, (c) determining, if the plurality of second words include a word corresponding to the first word, the word corresponding to the first word as a basic word, (d) selecting, on the basis of the semantic distances to the basic word, at least one of the plurality of second words included in the concept map as an adjacent word, and (e) outputting a result of a search on the basis of the first word and the adjacent word.

Abstract: An information processing method includes acquiring first text information from a storage apparatus in which the first text information representing one or more utterance sentences is stored as a learning data set, identifying one or more named entities included in the acquired first text information, replacing each of the one or more identified named entities with an abstract expression abstracted based on a predetermined rule thereby generating second text information from the first text information, and learning a model of a dialogue system using, as training data, the second text information generated in the replacing.

Abstract: A data generation apparatus includes a processor and a memory. The memory stores a generation rule including one or more time change values and/or one or more amplitude change values. The processor (a1) obtains a first biological data item including an event-related potential of a user and obtains a first label associated with the first biological data item, (a2) refers to the generation rule and generates one or more second biological data items by changing the first biological data item using the one or more time change values and/or the one or more amplitude change values, and (a3) outputs the one or more second biological data items associated with the first label, as training data related to the user.

Abstract: A method includes (a) obtaining a search word, (b) obtaining first to third concept maps including words and semantic distances between the words, (c) obtaining a first association map including degrees of association indicating how close the semantic distances included in the first and second concept maps are to each other; (d) obtaining a second association map including degrees of association indicating how close the semantic distances included in the first to third concept maps are to one another, (e) extracting, from the words as an associated word, at least one word whose difference between the degree of association with the search word included in the first association map and the degree of association with the search word included in the second association map is equal to or larger than a first threshold, and (f) outputting a result of a search based on the search word and the associated word.

Abstract: A method for expanding a word performed by a processor includes (a) obtaining a first word, (b) obtaining, from a memory, a concept map that is unique to a user and that includes a plurality of second words and semantic distances between the plurality of second words, the plurality of second words including words belonging to different categories, (c) determining, if the plurality of second words include a word corresponding to the first word, the word corresponding to the first word as a basic word, (d) selecting, on the basis of the semantic distances to the basic word, at least one of the plurality of second words included in the concept map as an adjacent word, and (e) outputting a result of a search on the basis of the first word and the adjacent word.