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 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: 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.