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Information and communication technology
Using the Integrated Tsunami Scenario Simulator to raise tsunami awareness and improve disaster readiness

As part of the Strategic Basic Research Program within the Research Institute of Science and Technology for Society (RISTEX), Professor KATADA Toshitaka (Gunma University; Director of Research, IDA) has developed an Integrated Tsunami Scenario Simulator. Professor Katada’s team has been using the Scenario Simulator to raise tsunami awareness and improve the ability of local communities to deal with natural disasters, as well as helping educate elementary and junior high-school students about tsunami hazards. The Simulator offers a comprehensive overview of likely tsunami scenarios for coastal communities: modeling the extent of inundation, analyzing media used to transmit warnings, examining the implementation of planning, estimating casualties, and more. It is ultimately aimed at improving tsunami response, warnings, and evacuation plans in order to mitigate the human cost of such disasters.

Developing technology to detect a state of false confidence, based on vocal pitch and volume during speech

  • As part of the Strategic Basic Research Program within the Core Research for Evolutional Science & Technology (CREST) program, Professor TAKEDA Kazuya (Nagoya University) has succeeded in developing world’s first technology to automatically detect mental states of false confidence via human speech. By analyzing telephone conversations using cues such as vocal pitch and vocal volume, Professor Takeda’s research project was able to reliably detect a speaker’s state of false confidence or unquestioning belief; that is, a state when a speaker is unable to fully consider or comprehend the content of the other party’s speech, and is furthermore unaware of being in this state. With telephone fraud a prevalent social issue in Japan, this technology offers clear social utility, as it has demonstrated a 90% or better precision rate in detecting states of false confidence during potentially fraudulent conversations.