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
Making Sense of Sensemaking 1: Alternative Perspectives
IEEE Intelligent Systems
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
Making Sense of Sensemaking 2: A Macrocognitive Model
IEEE Intelligent Systems
The influence of agent reliability on trust in human-agent collaboration
ECCE '08 Proceedings of the 15th European conference on Cognitive ergonomics: the ergonomics of cool interaction
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
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Motivation - To explore the concept that knowledge visualization would improve sensemaking within the scope of a NDM model; specifically the agent-based R-CAST system derived from Klein's Recognition-Primed Decision (RPD) Model. Research approach - In order to evaluate the effectiveness of the visual sensemaking extension to gain better situation awareness and team performance, we are taking an experimental approach. Research limitations/Implications - This is an ongoing effort with results of planned experiment expected in early 2009. Originality/Value - The knowledge visualization concept offered in this effort is based on a hybrid dimensionality reduction technique and the aggregated similarity measures of an RPD experience space. The results of the knowledge visualization will likely improve the perception, comprehension and projection associated with an RPD experience space. Take away message - Processes that support a decision maker's sensemaking and situational awareness to solve problems are inadequate. Extending RPD with knowledge visualization may significantly improve the decision making process.