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The Human-Computer Interaction (HCI) Lab Industrial Engineering Department

CELDi Conference, Stillwater, OK, 11-12 April 2005. Study 2: Experimental Evidence on Multi-Agency Team Coordination. The Human-Computer Interaction (HCI) Lab Industrial Engineering Department University of Arkansas, Fayetteville. How effectively can we respond to emergency?. Hurricane.

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The Human-Computer Interaction (HCI) Lab Industrial Engineering Department

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  1. CELDi Conference, Stillwater, OK, 11-12 April 2005 Study 2: Experimental Evidence on Multi-Agency Team Coordination The Human-Computer Interaction (HCI) Lab Industrial Engineering Department University of Arkansas, Fayetteville

  2. How effectively can we respond to emergency? Hurricane Earthquake Tsunami

  3. Administration Planning Operation Command Incident Command System (ICS) • 9-11 commission recommended ICS • ICS can provide a unified command center that will have a decision maker representing eachkey agency, when multiple agencies or jurisdictions are involved in a response

  4. Problem Statement • Better organized logistics needed to respond to a terrorist attack • Command and control of multi agency teams • Supply restocking issues for hospitals and ambulances

  5. Research Goals • Empirically investigate how multi-agency logistics teams respond to emergency that needs major operational coordination • Team performance • Team cognition • Identify environmental determinants that affect multi-agency logistics team coordination and collaboration Effective multi-agency service teams

  6. Method • Participant • Command and Control Chief • Fire Chief • Police Commissioner • Chief Logistician • Healthcare Administrator • Experimental Task To provide organized logistics in disaster hit by coordinating among multi agencies to help rescue civilians and provide necessary medical and food help

  7. Experiment Environment • Modified RoboCupRescue Simulation Provide emergency decision support by integration of disaster information, prediction, planning and human interface • Structure of the RCRS • Fire Chief Module • Logistician Module

  8. Multi-agency Logistics Environment

  9. Independent Variables • Communication mode • Types of communications available • Video + Audio + Text vs. Audio + Text • Shared Learning • learning across multiply organizational cultures • Cross Training vs No Training • Awareness • Understanding the activities of others, which provides a context for your own activity. High level means maximum awareness of the situation. • High Level vs. Low Level

  10. Dependent Variables • Team Performance • Task time • Waiting time • Inventory level • Team Cognition • Communication • Mental models • Coordination

  11. Experiment Procedure

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