On shared situation awareness for supporting human decision-making teams

Xiaocong Fan, Shuang Sun, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (SciVal)


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 (C 2RPD), 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.

Original languageEnglish (US)
Title of host publicationAI Technologies for Homeland Security - Papers from the 2005 AAAI Spring Symposium, Technical Report
Number of pages8
StatePublished - 2005
Event2005 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 21 2005Mar 23 2005


Other2005 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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