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Awareness or alertness while driving is extremely important for road safety. It is known that cognitive load due to multitasking affects driving alertness. In this work, possibilities of automatic detection of driver's distraction due to various cognitive tasks from driving behavior has been studied with simulation experiments in a driving simulator. Experiments are done with different types of driving...
After the East Japan Great Earthquake happened on Mar. 11, 2011, many affected people who lost houses, jobs and families fell into difficulties. Governmental agencies and NPOs supported them by offering relief supplies, foods, evacuation centers and temporary houses. When various supports were offered to affected people, if Governmental agencies and NPOs could detect their needs appropriately, it...
This paper proposes a time series topic detection method to investigate changes in afflicted people's needs after the East Japan Great Earthquake using latent semantic analysis and singular vectors' pattern similarities. Our target data is a blog about afflicted people's needs provided by a non-profit organization in Tohoku, Japan. The method crawls blog messages, extracts terms, and forms document-term...
Once a disaster occurs, people discuss various topics in social media such as electronic bulletin boards, SNSs and video sharing website, and their decision-making tends to be affected by discussions in social media. Under this circumstances, a mechanism to detect topics in social media has become important. This paper targets the East Japan Great Earthquake, and proposes a method for topic discovering...
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