Abstract: A method, computer program product, and system for a cognitive dialoguing avatar, the method including identifying a user, a target entity, and a user goal, initiating communication with the target entity, evaluating cognitively a question from a dialog with the target entity, determining cognitively an answer to the question by evaluating stored user information to progress to the user goal, communicating the determined answer to the target entity.

Abstract: A computer-implemented method of establishing influence relationships between data in a question-answering environment is disclosed. Establishing influence relationships can include determining a set of conditions indicating a set of user statuses and analyzing, using a first natural language processing technique, a corpus of data including a set of user data. Establishing influence relationships between data can include identifying, based on analyzing the corpus of data, a set of influence factors corresponding to a subset of the set of user data and to a subset of the set of conditions. In embodiments, establishing influence relationships can include establishing, based on the set of influence factors, a set of influence relationships between the subset of the set of user data and the subset of the set of conditions.

Abstract: A method operates a hearing aid for a user. A neuronal signal of the user is measured in the method and a listening effort of the user is determined therefrom. Both an intensity of the listening effort and a hearing direction are determined from the neuronal signal. The intensity and the hearing direction form a hearing vector. A mode of operation of the hearing aid is adapted or set depending on the hearing direction, for the purposes of reducing the intensity of the listening effort.

Abstract: A method operates a hearing device for a user. In the method, electromyography is performed, in which a muscle activity of an auricular muscle of the user is measured by an electrode array. The muscle activity is continuously measured to detect a complex activity profile of the auricular muscle, in which the user's intention is coded. The electrode array generates a sensor signal that is classified by means of a classifier, and in this classification process, the muscle activity is decoded and the underlying intention is determined by examining whether the sensor signal has a previously known feature vector. The previously known feature vector is assigned to an operating mode of the hearing device, which is set when the sensor signal has the previously known feature vector.

Abstract: A method, computer program product, and system for a cognitive dialoguing avatar, the method including identifying a user, a target entity, and a user goal, initiating communication with the target entity, evaluating cognitively a question from a dialog with the target entity, determining cognitively an answer to the question by evaluating stored user information to progress to the user goal, communicating the determined answer to the target entity.

Abstract: A computer-implemented method of establishing influence relationships between data in a question-answering environment is disclosed. Establishing influence relationships can include determining a set of conditions indicating a set of user statuses and analyzing, using a first natural language processing technique, a corpus of data including a set of user data. Establishing influence relationships between data can include identifying, based on analyzing the corpus of data, a set of influence factors corresponding to a subset of the set of user data and to a subset of the set of conditions. In embodiments, establishing influence relationships can include establishing, based on the set of influence factors, a set of influence relationships between the subset of the set of user data and the subset of the set of conditions.

Abstract: A computer-implemented method of establishing influence relationships between data in a question-answering environment is disclosed. Establishing influence relationships can include determining a set of conditions indicating a set of user statuses and analyzing, using a first natural language processing technique, a corpus of data including a set of user data. Establishing influence relationships between data can include identifying, based on analyzing the corpus of data, a set of influence factors corresponding to a subset of the set of user data and to a subset of the set of conditions. In embodiments, establishing influence relationships can include establishing, based on the set of influence factors, a set of influence relationships between the subset of the set of user data and the subset of the set of conditions.

Abstract: A method operates a hearing aid for a user. A neuronal signal of the user is measured in the method and a listening effort of the user is determined therefrom. Both an intensity of the listening effort and a hearing direction are determined from the neuronal signal. The intensity and the hearing direction form a hearing vector. A mode of operation of the hearing aid is adapted or set depending on the hearing direction, for the purposes of reducing the intensity of the listening effort.

Abstract: A method operates a hearing device for a user. In the method, electromyography is performed, in which a muscle activity of an auricular muscle of the user is measured by an electrode array. The muscle activity is continuously measured to detect a complex activity profile of the auricular muscle, in which the user's intention is coded. The electrode array generates a sensor signal that is classified by means of a classifier, and in this classification process, the muscle activity is decoded and the underlying intention is determined by examining whether the sensor signal has a previously known feature vector. The previously known feature vector is assigned to an operating mode of the hearing device, which is set when the sensor signal has the previously known feature vector.

Abstract: A computer-implemented method of establishing influence relationships between data in a question-answering environment is disclosed. Establishing influence relationships can include determining a set of conditions indicating a set of user statuses and analyzing, using a first natural language processing technique, a corpus of data including a set of user data. Establishing influence relationships between data can include identifying, based on analyzing the corpus of data, a set of influence factors corresponding to a subset of the set of user data and to a subset of the set of conditions. In embodiments, establishing influence relationships can include establishing, based on the set of influence factors, a set of influence relationships between the subset of the set of user data and the subset of the set of conditions.

Abstract: A computer-implemented method of establishing influence relationships between data in a question-answering environment is disclosed. Establishing influence relationships can include determining a set of conditions indicating a set of user statuses and analyzing, using a first natural language processing technique, a corpus of data including a set of user data. Establishing influence relationships between data can include identifying, based on analyzing the corpus of data, a set of influence factors corresponding to a subset of the set of user data and to a subset of the set of conditions. In embodiments, establishing influence relationships can include establishing, based on the set of influence factors, a set of influence relationships between the subset of the set of user data and the subset of the set of conditions.

Abstract: A method and device are provided for automatic, recursive adjustment of at least one hearing device worn by a person. The device includes a stimulus generator unit, which emits at least one acoustic stimulus to the hearing device, a signal detection unit with at least one sensor, which detects the neuronal activity of the brain of the person due to the acoustic stimulus, a computation and control unit, which determines a measure of listening effort from the detected neuronal activity and determines changes to hearing device parameters from this. A hearing device control unit changes the hearing device parameters accordingly. The computation and control unit repeatedly prompts the stimulus generator unit to emit a hearing stimulus and the hearing device control unit to change a hearing device parameter, until the measure of listening effort drops below a predefinable first threshold value. This allows hearing devices to be adjusted objectively and automatically in a very robust and reliable manner.

Abstract: A method and device are provided for automatic, recursive adjustment of at least one hearing device worn by a person. The device includes a stimulus generator unit, which emits at least one acoustic stimulus to the hearing device, a signal detection unit with at least one sensor, which detects the neuronal activity of the brain of the person due to the acoustic stimulus, a computation and control unit, which determines a measure of listening effort from the detected neuronal activity and determines changes to hearing device parameters from this. A hearing device control unit changes the hearing device parameters accordingly. The computation and control unit repeatedly prompts the stimulus generator unit to emit a hearing stimulus and the hearing device control unit to change a hearing device parameter, until the measure of listening effort drops below a predefinable first threshold value. This allows hearing devices to be adjusted objectively and automatically in a very robust and reliable manner.

Abstract: A method, system, and computer program product are provided for selectively discarding packets in a network device. The method includes receiving an upstream bandwidth saturation indicator for a queue in the network device, and identifying one or more codecs employed in packets in the queue when the upstream bandwidth saturation indicator indicates saturation. The method further includes determining a packet discarding policy based on the one or more codecs, and discarding packets in accordance with the packet discarding policy.

Abstract: A method, system, and computer program product are provided for selectively discarding packets in a network device. The method includes receiving an upstream bandwidth saturation indicator for a queue in the network device, and identifying one or more codecs employed in packets in the queue when the upstream bandwidth saturation indicator indicates saturation. The method further includes determining a packet discarding policy based on the one or more codecs, and discarding packets in accordance with the packet discarding policy.

Abstract: A method, system, and computer program product for network device congestion relief are provided. The method includes receiving a level of congestion for a network device, receiving a data packet including a codec list, and determining a filter policy based on the level of congestion. The method further includes applying the filter policy to the data packet to remove at least one codec from the codec list when a filter policy condition is met, resulting in a filtered data packet, and outputting the filtered data packet.