Information Seeking, Visualization, and Decision-Making

Author(s)
Dr. John Yen
 
Date
2008
 
Source
 
Abstract
Delivering the right information to the "right people in the right time" for responding to extreme events has become increasingly difficult due to the explosion of information and the increasing severity of these events' impacts. Drawing from studies about effective human team performance and theories about human decision making under time stress, we have developed a cognitive agent architecture inspired by Recognition-Primed Decision (RPD), which is a naturalistic decision making model. The RPD model provides the context of decision-making, from which the agent dynamically identifies relevant information, proactively seek and share them among a distributed decision-making team for damage assessments and resource allocations.
 
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External Link: Information Seeking, Visualization, and Decision-Making

 

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