Abstract: There is provided an information processing apparatus including a sensor information acquisition unit that acquires sensor information output from a sensor that detects contact of a finger with a surface of a writing instrument, a grip pattern determination unit that determines, based on the sensor information, a grip pattern in which a user grips the writing instrument, and a function execution unit that executes a function relating to the writing instrument according to the grip pattern.

Abstract: There is provided an information processing apparatus including a DB updating unit updating an action pattern database used to detect an action pattern of a user based on a sensor detection result, a text information acquiring unit acquiring text information which the user inputs in a device, and a text information analyzing unit acquiring information related to an action pattern from the text information. In a case where the information related to the action pattern is acquired from the text information, the DB updating unit updates the action pattern database using the acquired information.

Abstract: There is provided an information processing apparatus including a matter extracting unit extracting a predetermined matter from text information, an action pattern specifying unit specifying one or multiple action patterns associated with the predetermined matter, an action extracting unit extracting each of the action patterns associated with the predetermined matter, from sensor information, and a state analyzing unit generating state information indicating a state related to the matter, based on each of the action patterns extracted from the sensor information, using a contribution level indicating a degree of contribution of each of the action patterns to the predetermined matter, for a combination of the predetermined matter and each of the action patterns associated with the predetermined matter.

Abstract: There is provided an information processing apparatus including an experience extracting unit extracting experience information indicating a user experience from text information, an action extracting unit extracting an action pattern from sensor information, a correspondence experience extracting unit extracting, based on relationship information indicating a correspondence relationship between the experience information and the action pattern, experience information corresponding to the action pattern extracted from the sensor information, and a display controlling unit displaying information related to the experience information extracted from the text information along with information related to the experience information corresponding to the action pattern.

Abstract: There is provided an information processing device including an operation history acquisition unit for acquiring operation history information in which an input operation of a learner terminal by a learner who uses learning content is associated with a time at which the input operation is acquired, and an acceptance ability estimation unit for estimating an acceptance ability of the learner with regard to the learning content based on the operation history information.

Abstract: An information processing method includes the steps of: obtaining biometric information expressing biometric responses exhibited by a user during content playback; obtaining metadata for each content of which biometric information is obtained; identifying attributes linked to the biometric information within the attributes included in the obtained metadata and identifying, in the case of content wherein identified attribute values differ but the user exhibits similar biometric responses during playback, the different value of the attribute linked to the biometric information as a value not necessary to be distinguished; reconfiguring a profile by merging the information relating to the value which is identified which is not necessary to be distinguished, from the information included in the user profile; identifying recommended content based on the reconfigured profile; and presenting the identified recommended content information to the user.

Abstract: An information processing apparatus for performing dialogue processing. The apparatus acquires text data described in a natural language and stores a plurality of examples each including an example statement and frame information described using a frame format and corresponding to the example statement. A similarity between the text data and the example statement is calculated. An example is selected corresponding to an example statement whose similarity to the text data is the highest from among the plurality of examples in accordance with the calculated similarity. Text data is converted into the frame format in accordance with the frame information corresponding to the example selected by the example selection. Dialogue processing is performed in accordance with the text data converted into the frame format.

Abstract: An information processing apparatus includes an obtaining unit that obtains meta-information concerning content; a predicting unit that predicts an emotion of a user who is viewing the content from the meta-information obtained by the obtaining unit; and a recognizing unit that recognizes an emotion of the user using the emotion predicted by the predicting unit and user information acquired from the user.

Abstract: There is provided a content reproduction apparatus including a content reproduction unit for reproducing content, a habit detection unit for detecting a reproduction habit regarding content that uses the content reproduction unit, and an abnormality determination unit for determining there is an abnormality, in a case a reproduction action estimated from the reproduction habit detected by the habit detection unit is not carried out.

Abstract: Disclosed herein is an information processing apparatus configured to generate metadata corresponding to content including, a data output, a data input section, a control section, an interaction execution section, an interaction metadata generation section, and a content control section.

Abstract: A natural language processing apparatus includes an input section for inputting natural language, a representation converting section for converting representation of the natural language, a display section for displaying, for confirmation, sentence converted at the representation converting section, a machine translation section for carrying out machine translation of the confirmed sentence, and a control section for controlling these respective sections, thus to provide natural language processing in which confirmation operation of user is reduced.

Abstract: An image processing apparatus includes an extraction section, a parameter retaining section, a context retaining section, and a decision section. The extraction section extracts a characteristic amount of a region in which a recognition object may possibly be included from within an image of a processing object. The parameter retaining section retains a parameter regarding the recognition object. The context retaining section retains a context regarding the recognition object. The decision section decides based on the characteristic amount extracted by the extraction section, the parameter retained in the parameter retaining section, and a result of arithmetic operation performed using the context retained in the context retaining section whether or not an image in the region is the recognition object.

Abstract: A speech recognition apparatus in which the accuracy in speech recognition is improved as the resource is prevented from increasing. Such a word which is probable as the result of the speech recognition is selected on the basis of an acoustic score and a linguistic score, while word selection is also performed on the basis of a measure different from the acoustic score, such as the number of phonemes being small, a part of speech being a pre-set one, inclusion in the past results of speech recognition or the linguistic score being not less than a pre-set value. The words so selected are subjected to matching processing.

Abstract: An information processing apparatus performing a process for generating a playlist defining a reproduction sequence of contents includes: a model information holding part storing therein probability models corresponding to a time series pattern of content feature volumes being feature information about contents; a content feature extracting part acquiring a content feature volume corresponding to each of contents to be reproduced; a playlist generating part comparing a time series pattern of the content feature volumes extracted in the content feature extracting part corresponding to each of permutation patterns of a reproduction sequence of contents to be reproduced with a probability model held in the model information holding part, and generating a playlist in which a reproduction sequence of contents is set in accordance with a time series pattern of content feature volumes most analogous to the probability model; and a content reproducing part reproducing contents in accordance with the generated playlis

Abstract: A data processing apparatus includes a text acquisition mechanism acquiring texts to be used as keywords which will be subject to audio retrieval, the texts being related to contents corresponding to contents data including image data and audio data; a keyword acquisition mechanism acquiring the keywords from the texts; an audio retrieval mechanism retrieving utterance of the keywords from the audio data of the contents data and acquiring timing information representing the timing of the utterance of the keywords of which the utterance is retrieved; and a playback control mechanism generating, from image data around the time represented by the timing information, representation image data of a representation image which will be displayed together with the keywords and performing playback control of displaying the representation image corresponding to the representation image data together with the keywords which are uttered at the time represented by the timing information.

Abstract: A data processing apparatus includes a speech recognition unit configured to perform continuous speech recognition on speech data, a related word acquiring unit configured to acquire a word related to at least one word obtained through the continuous speech recognition as a related word that is related to content corresponding to content data including the speech data, and a speech retrieval unit configured to retrieve an utterance of the related word from the speech data so as to acquire the related word whose utterance has been retrieved as metadata for the content.

Abstract: A data processing device including an output control unit configured to extract a character string targeted for a search from subtitle data of content data including image data, voice data, and the subtitle data, search the voice data for data of a voice uttering the character string, acquire timing information indicating time when the character string is uttered, which is included in the image data, generate subtitle timing information including identification information provided to identify the subtitle data including the character string and the timing information, where the identification information and the timing information are associated with each other, so that the subtitle timing information is acquired, and synchronize the subtitle data and image data of time indicated by timing information associated with identification information of the subtitle data, and output the subtitle data and the image data based on the subtitle timing information is provided.

Abstract: Conventional robot apparatus etc. can not perform name-learning naturally. Learning the name of an object is performed such a manner that the name of a target object is obtained through dialog with a human being, the name is stored in association with plural items of different characteristic data detected for the target object, and a new object is recognized based on the stored data and associative information, the name and characteristic data of the new person are obtained and this associative information is stored.

Abstract: An information processing device that includes a referring unit configured to refer to a table in which a characteristic of each piece of first information is expressed as distribution of model parameters in a plurality of semantic classes. The semantic classes are in units of pieces of the first information. An obtaining unit is configured to obtain second information to be searched. A calculating unit is configured to calculate similarities between the second information and the respective pieces of the first information. A first reading unit is configured to read the pieces of the first information from the table in descending order of the similarity.

Abstract: An information processing device is connected to multiple information processing terminals wherein multiple types of expressions exhibited by a user during playback of content are detected, evaluation of each played-back content is obtained, of the detected plurality of types of expressions a predetermined expression serving as a high evaluation index indicated by the user during playback of high evaluation content is identified, and the expression information serving as a identified high evaluation index and the information expressing evaluation as to each content are transmitted. The information device includes a receiving unit to receive expression information serving as the high evaluation index from multiple information processing terminals; a user identifying unit to identify a user indicating an expression of similar high evaluation index for the same content; a recommended content identifying unit to identify recommended content having-a high evaluation to other similar users; and a transmitting unit.