Advanced training for crisis decision making: simulation, critiquing, and immersive interfaces

Crises demand swift and effective decision making. Yet crises entail unique characteristics that hinder training of personnel with the process knowledge necessary to achieve these two goals. First, crises are, by definition, rare; thus, it is usually not possible for humans to acquire decision-making expertise directly through experience in natural settings. Second, managing crises often involves dealing with massive uncertainty and complexity under conditions of acute stress. Each of these features poses a unique challenge to training. We present an example of a trainer for ship damage control that addresses these challenges. It consists of a first-principles simulator that generates large numbers of realistic scenarios, an immersive multimedia interface that helps replicate decision-making information overload, and a critiquing expert system that provides real-time and post-session feedback on human decision-making performance. Experimental results are presented that indicate that the described computer-based trainer has psychological realism from the standpoint of allowing a trainee to practice decision making processes while under a high level of stress.

[1]  E H McKinney Flight leads and crisis decision-making. , 1993, Aviation, space, and environmental medicine.

[2]  Albert T. Corbett,et al.  Intelligent Tutoring Systems , 1985, Science.

[3]  C. Spielberger,et al.  Manual for the State-Trait Anxiety Inventory , 1970 .

[4]  Timothy Koschmann,et al.  Using Technology to Assist in Realizing Effective Learning and Instruction: A Principled Approach to the Use of Computers in Collaborative Learning , 1994 .

[5]  E. Salas,et al.  Introduction: The Study of Stress and Human Performance , 1996 .

[6]  L. Thompson,et al.  Social Judgment, Feedback, and Interpersonal Learning in Negotiation , 1994 .

[7]  Nick Van Matre,et al.  The automated maneuvering board training system: An inprogress implementation evaluation , 1986 .

[8]  Ellen Ernst Kossek,et al.  The Human Side of Factory Automation , 1990 .

[9]  William E. Montague,et al.  Combining Environmental Design and Computer Programs to Enhance Learning in Navy Technical Training , 1993 .

[10]  A. Kluger,et al.  The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. , 1996 .

[11]  Philippe C. Duchastel Towards methodologies for building Knowledge-Based Instructional Systems , 1991 .

[12]  Robert T. Hays,et al.  Simulation Fidelity in Training System Design , 1989 .

[13]  Yuan-Liang Su,et al.  The impact of expert-system-based training on calibration of decision confidence in emergency management , 1998 .

[14]  M. Doherty,et al.  Effects of cognitive feedback on performance. , 1989 .

[15]  R. Hogarth,et al.  BEHAVIORAL DECISION THEORY: PROCESSES OF JUDGMENT AND CHOICE , 1981 .

[16]  Judith Orasanu,et al.  DECISION-MAKING IN THE COCKPIT. , 1993 .

[17]  Eduardo Salas,et al.  Stress and human performance , 1996 .

[18]  D Zakay,et al.  Time pressure, training and decision effectiveness. , 1984, Ergonomics.

[19]  Janet A. Sniezek,et al.  Trust, Confidence, and Expertise in a Judge-Advisor System. , 2001, Organizational behavior and human decision processes.

[20]  B H Kantowitz,et al.  Selecting Measures for Human Factors Research , 1992, Human factors.

[21]  Leslie B. Hammer,et al.  Task information, cognitive information, or functional validity information: Which components of cognitive feedback affect performance?☆ , 1992 .

[22]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .