A cognitive architecture for emergency response

Felipe Meneguzzi, Jean Oh, Nilanjan Chakraborty, Katia Sycara, Siddharth Mehrotra, James Tittle, Michael E Lewis

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems
Pages1161-1162
Number of pages2
Volume3
Publication statusPublished - Jun 2012

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