Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Designing the User Interface: Strategies for Effective Human-Computer Interaction
prefuse: a toolkit for interactive information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Extending the recognition-primed decision model to support human-agent collaboration
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Agents with shared mental models for enhancing team decision makings
Decision Support Systems - Special issue: Intelligence and security informatics
RPD-enabled agents teaming with humans for multi-context decision making
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
R-CAST: integrating team intelligence for human-centered teamwork
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
CAST: collaborative agents for simulating teamwork
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Knowledge and Information Visualization
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Recent operations in Iraq and Afghanistan have confirmed that in order to achieve effective Network-Centric Operations (NCO), innovative enhancement to military decision-making is desired. Required are processes and computational models that support the decision-makers' experience while promoting high levels of shared situation awareness (SA) - not only in the context of the external operating environment, but internally aligning the decision makers' mental model with the intelligent software agents working on their behalf. Towards this end, the aim of this research is to enhance the decision-maker's perception, comprehension, and projection of the underlying knowledge space while improving shared human-agent SA. To accomplish this we extended R-CAST, an agent-based Recognition-Primed Decision (RPD) model developed at the Pennsylvania State University (PSU) with the capability to interactively visualize the knowledge space during execution. Presented are the early results of a recently completed knowledge visualization experiment where ROTC cadets from the PSU operated the visually-enhanced R-CAST on a command and control simulation.