Provided is a learning support system which can enhance a learning effect by sharing a matter of interest among learners viewing a learning content. The learning support system includes: a learning content display unit configured to play and display a teaching material video; a learner information reporting unit configured to acquire biological information of a learner during play of the teaching material video and report the biological information as learner information; a region-of-attention identification unit configured to identify a region-of-attention of the learner based on the biological information; a learner information display creation unit configured to generate a screen in which the region-of-attention is superimposed on the teaching material video of another learner belonging to the same cluster as the learner; and a learner information transmission unit configured to transmit the screen to the another learner.

An approach is provided in which the approach establishes a communication link between a virtual reality device and a hologram system. The hologram system projects a hologram in a physical world and the virtual reality device projects a corresponding virtual hologram in a virtual world. The virtual reality device adjusts the virtual hologram based on request from a user operating the virtual reality device and the approach instructs the hologram system to adjust the hologram in a manner similar to the adjustments to the virtual hologram.

This disclosure relates generally to categorical time-series clustering. In an embodiment, the method for categorical time-series clustering for categorical time-series associated with distinct subjects obtained from sensors. Based on the categorical time-series, the subjects are clustered into clusters by using a Markov chain model. Clustering the subjects include assigning each subject to a cluster. The subjects are assigned to the clusters by determining cluster-specific transition matrices based on a transitional probability of the subject's transitioning between states. A semi-distance function is constructed for each cluster-specific transitional matrix between the states at multiple time instances, which us indicative of a conditional probability of movement of the subject between the states at different time instance. Using an expectation maximization (EM) model, one or more latent variables of each of the cluster-specific transitional matrices are obtained to determine a likelihood of association of the subject to the cluster.

Provided is a learning support system which can enhance a learning effect by sharing a matter of interest among learners viewing a learning content. The learning support system includes: a learning content display unit configured to play and display a teaching material video; a learner information reporting unit configured to acquire biological information of a learner during play of the teaching material video and report the biological information as learner information; a region-of-attention identification unit configured to identify a region-of-attention of the learner based on the biological information; a learner information display creation unit configured to generate a screen in which the region-of-attention is superimposed on the teaching material video of another learner belonging to the same cluster as the learner; and a learner information transmission unit configured to transmit the screen to the another learner.

The exemplary embodiments disclose a method, a computer program product, and a computer system for replying to a user. The exemplary embodiments may include a user asking one or more questions to one or more devices, collecting data of the user and data of the one or more commands, extracting one or more features from the collected data, and determining an appropriate reply and manner of reply based on the extracted one or more features and one or more models.

An approach is provided in which the approach establishes a communication link between a virtual reality device and a hologram system. The hologram system projects a hologram in a physical world and the virtual reality device projects a corresponding virtual hologram in a virtual world. The virtual reality device adjusts the virtual hologram based on request from a user operating the virtual reality device and the approach instructs the hologram system to adjust the hologram in a manner similar to the adjustments to the virtual hologram.

This disclosure relates generally to categorical time-series clustering. In an embodiment, the method for categorical time-series clustering for categorical time-series associated with distinct subjects obtained from sensors. Based on the categorical time-series, the subjects are clustered into clusters by using a Markov chain model. Clustering the subjects include assigning each subject to a cluster. The subjects are assigned to the clusters by determining cluster-specific transition matrices based on a transitional probability of the subject's transitioning between states. A semi-distance function is constructed for each cluster-specific transitional matrix between the states at multiple time instances, which us indicative of a conditional probability of movement of the subject between the states at different time instance. Using an expectation maximization (EM) model, one or more latent variables of each of the cluster-specific transitional matrices are obtained to determine a likelihood of association of the subject to the cluster.

Embodiments of the present invention provide a method, system and computer program product for Internet of things (IoT) enhanced tool safety. In an embodiment of the invention, a method for IoT enhanced tool safety includes establishing by an IoT server over a computer communications network a communicative coupling to a mobile device associated with an end user, receiving in the IoT server from the mobile device from over the communicative coupling an identifier of a tool in wireless communication with the mobile device, determining in the IoT server based upon the identifier if the end user associated with the mobile device has completed requisite training for using the tool and directing by the IoT server a prompting of the user in the mobile device to complete the requisite training prior to using the tool in response to a determination that the end user has not completed the requisite training.

The present technology relates to an information processing apparatus, an information processing method, and a program capable of presenting a detection condition of a mindful state as visualized information.

An information processing apparatus includes an obtaining unit that obtains biological information regarding a user, a detection unit that analyzes the biological information obtained by the obtaining unit and that detects a mindful state of the user, and a generation unit that generates image data regarding a screen for presenting information regarding the mindful state detected by the detection unit to the user. The present technology can be applied to, for example, an information processing apparatus that presents, as visualized information, a detection condition of a mindful state to a student who is learning to enter the mindful state or a teacher.