■ Human Information Science Laboratories | ||
ATR CALL ATR CALL (ATR Computer Assisted Language Learning System) is an English language training system developed by the Spoken Language Acquisition Project (SLAP) group at ATR. SLAP's main research interest lies in how learners of a foreign language acquire listening and pronunciation skills, and ATR CALL provides SLAP's ongoing experimental research program with learning data from various users. ATR CALL is an instruction tool suitable for learners of all ages from school-age to advanced, and for use in school LAN environments. ATR CALL has also been adapted and partially made available to the public in the form of CD-ROMs accompanying language learning books, as well as online learning software. Exhibitions and workshops featuring ATR CALL |
ATR CALL booth at the Multimedia Festival 2002 in Okayama |
Keihanna Venture Fair 2003 |
Scenes from Super Science Seminar (S-cube) |
Super Science Seminar (S-cube) Edutaiment Forum 2003 Kyoto
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Pocket PC version of ATR CALL |
A Screen from ATR call |
■ Computational Neuroscience Laboratories | ||
The Computational Neuroscience Laboratories (CNS) opened on May 1, 2003. The three departments comprising CNS adopt computational approaches towards understanding the workings of the human brain, and apply their findings to the development of innovative communication technologies. The Department of Cognitive Neuroscience focuses on cognition and learning mechanisms underlying human intelligence. Computational theories, psychological experiments and brain activity measurements are utilized to investigate higher cognitive functions in the cerebellum, the mechanisms of learning and control systems in the motor system, as well as mechanisms of visual dynamics. The Department of Computational Neurobiology's research interests lie in the electrical and chemical mechanisms of computation in the brain. These are approached through combining neurobiological data with theoretical principles of adaptive systems. It also works on developing reliable computational paradigms and software for interpreting neurobiological data. Last but not least, the Department of Humanoid Robotics and Computational Neuroscience examines ways of reproducing in humanoid robots the highly complex and adaptive nature of human behavior. Its research projects aim not only to find the underlying principles of human information processing through humanoids but also to seek ways of developing humanoids equipped with superior communication, interaction, and motor skills. |
■ Spoken Language Translation Research Laboratories | ||
Multilingual speech corpus for C-STAR III goes online
Once translation into all languages is complete, we will have one of the largest-ever multilingual corpora of spoken languages. We are confident that the corpus, which uniquely offers sentence-to-sentence translation among multiple languages, would become an invaluable resource for research in spoken language translation. |
■ Intelligent Robotics and Communication Laboratories | ||
The Intelligent Robotics and Communication Laboratories (IRC) opened on October 1, 2002. IRC's main research theme is to develop technology for realizing a society where humans can live alongside robots. Projects include the development of "partner" robots - robots equipped with superior communication skills that make them capable of becoming human companions. Partner robots being developed at IRC include the Robovie humanoids and robots in the form of stuffed toys. Another ongoing project, carried out in partnership with the Media Information Science Laboratories, involves realizing the concept of what we call "network robots". The idea is to couple our partner robots with a wealth of information gathered by sensors both installed in the environment and worn by subjects to create a completely novel robotic platform capable of offering optimal assistance to our daily activities. IRC also works with medical institutions on the "e-Nightingale project", in which activities at hospitals are automatically recorded and analyzed to improve the quality and efficiency of medical care and to prevent starts and near misses. |