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• W2100055984 abstract "Plan recognition, cognitive workload estimation and human assistance have been extensively studied in the AI and human factors communities, but have seldom been integrated and evaluated as complete systems. In this paper, we develop an assistant agent architecture integrating plan recognition, current and future user information needs, workload estimation and adaptive information presentation to aid an emergency response manager in making high quality decisions under time stress, while avoiding cognitive overload. We describe its main components as well as results for en experiment simulating various possible executions of the emergency response plans used in the real world, comparing reaction time of an assisted versus an unassisted human." @default.
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• W2100055984 date "2012-06-04" @default.
• W2100055984 modified "2023-09-25" @default.
• W2100055984 title "A cognitive architecture for emergency response" @default.
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• W2100055984 doi "https://doi.org/10.5555/2343896.2343899" @default.
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