Shared Situation Awareness for Supporting Human Decision-Making Teams

Xiaocong Fan, Shuang Sun, and John Yen

One of the challenging issues in homeland security area is the early detection and successful processing of potential terrorist threats, which demands effective team collaboration. In this research, we investigate the way of incorporating naturalistic decision making models for supporting distributed team decision making. By extending Klein’s Recognition-Primed Decision model, we propose a Collaborative RPD model (C2RPD), which encourages proactive information seeking, linking, and sharing in distributed teamwork settings. This model establishes a basis for developing agent architectures that support both agent-agent and agent-human collaborations in developing shared situation awareness and in making decisions based on progressively refined recognitions.


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