Hitachi, Ltd.

Kyoto University

Hitachi Consumer Electronics Co., Ltd.

Ryuji Mine

Yoriko Kazama

Takashi Numata

Atsushi Miyamoto

Norio Ohkubo

Takeshi Nagasaki

Kazuaki Iwamura

Masakazu Fujio

Tadayuki Matsumura

Yasuhiro Asa

Nobuhiro Ishimaru

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.

Learning support system

An interaction system that interacts with a user is disclosed. The interaction system includes: an input device that receives a speech signal of the user; a computing device that determines a speech content of the interaction system for a speech content acquired from the speech signal of the user such that a frequency distribution of speech feature values of the speech content of the interaction system approaches an ideal frequency distribution; and an output device that outputs the determined speech content of the interaction system.

Interaction system, non-transitory computer readable storage medium, and method for controlling interaction system

An automatic program generation system that includes: an input unit that receives inputs of input data, target data, and design requirements for a first program to be generated; a program storage unit that stores a plurality of existing second programs; a program generation device that generates the first program; and an output unit that outputs the first program. The program generation device includes a program analysis unit that analyzes the plurality of second programs to generate a program model, a basic node/constraint generation unit that generates basic nodes and constraints for evolutionary computation based on the generated program model and the design requirements input from the input unit, and an optimization unit that generates the first program by the evolutionary computation based on the basic nodes and the constraints and the input data and the target data input from the input unit.

Automatic program generation system and automatic program generation method

In order to provide questions suited to skill levels of a learner, it is provided a learning support system which consists of a computer including a processor and a memory, comprising: a question database; a question generator; an answer acquisition module; a scoring module and an achievement degree estimator. The achievement degree estimator compares a number of types of perturbation within the questions to which a correct answer has been given with a predetermined second threshold value. The question generator generates a word changed in accordance with the perturbation of a different type in a case where the number of types of perturbation within the questions to which the correct answer has been given is smaller than the predetermined second threshold value, and sets a question relating to the generated word as a candidate for the question.

Learning support system and learning support method

A computer-aided image interpretation method and a device thereof to easily obtain an accurate image interpretation result are provided. An automatic classification means of the image interpretation device performs automatic classification by one of spectral characteristics, radiometric characteristics, diffuse characteristics, textures and shapes, or combinations thereof and accumulates data to an interpretation result database, for plural features of the same kind obtained by interpreting a remote sensing image obtained with an observation sensor. A means for extracting candidate of modification of interpretation result extracts the candidate of modification of interpretation result by comparing likelihoods that are the automatic classification results. A reinterpretation is performed for the candidate of modification of interpretation, and an interpretation result database is updated by an interpretation result update means. As a result, modification of the interpretation work can be efficiently performed.

Computer-aided image interpretation method and device

Provided is a geographic information system using map data including configuration data provided with time information and attribute data corresponding to an attribute of an object contained in the map data, including an information import module for receiving an input of a geographic area of an object to be retrieved and a search key; a map retrieval module for extracting configuration data, for which the input geographic area of the object to be retrieved and an area represented by the configuration data at least partially overlap each other, from the map data; a correlation module for correlating the configuration data with the attribute data identical with the input search key, for which the area represented by the extracted configuration data overlaps the positional information, according to each of the time information provided to the configuration data and to the attribute data; and an output module for outputting the correlated data.

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Kokubunji, Japan

Ryuji Mine