GT-MSOCC: A Domain for Research on Human - Computer Interaction and Decision Aiding in Supervisory Control Systems

Abstract
Modeling and aiding operators in supervisory control environments are necessary prerequisites to the effective use of automation in complex dynamic systems. A research program is described that explores these issues within the context of the Georgia Tech-Multisatellite Operations Control Center (GT-MSOCC). GT-MSOCC is a real-time interactive simulation of the operator interface to a NASA ground control system for unmanned Earth-orbiting satellites. GT-MSOCC is a high fidelity domain in which a range of modeling, decision aiding, and workstation design issues addressing human-computer interaction may be explored. GT-MSOCC is described in detail. The use of high-fidelity domains as research tools is also discussed, and the validity and generalizability of such results to other domains are examined. In addition to a description of GT-MSOCC, several other related parts are included. A GT-MSOCC operator function model (OFM) is presented. The GT-MSOCC model illustrates an enhancement to the general operator function modeling methodology that extends the model's utility for design applications. The proposed methodology represents operator actions as the lowest level discrete control network nodes. Actions may be cognitive or manual; operator action nodes are linked to information needs or system reconfiguration commands. Thus augmented, the operator function model provides a formal representation of operator interaction with the controlled system and serves as the foundation for subsequent theoretical and empirical research. A brief overview of experimental and methodological studies using GT-MSOCC is also given.

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