SCSC2003 Abstract S1197

COMPUTER-BASED AIDING TO REDUCE HUMAN ERROR IN REAL-TIME COMPLEX DECISION MAKING

COMPUTER-BASED AIDING TO REDUCE HUMAN ERROR IN REAL-TIME COMPLEX DECISION MAKING

Submitting Author: Mr. Damodar Bhandarkar

Abstract:
This paper discusses the development of a decision aiding mechanism, Error Oriented Aiding, which uses existing taxonomies to investigate causes of human error and provide corresponding prevention mechanisms to overcome those causes. The proposed method begins with the task analysis of a domain under study and categorizing these tasks based on type of expected errors. These errors provide a basis for developing aiding mechanisms to mitigate future errors.
An application of this methodology is demonstrated in a complex decision-making environment. The aid includes a visual aid to overcome slips and a probabilistic decision aid, developed using Bayesian belief networks, to overcome mistakes. Finally, a discussion of the experiment and its result is presented.



Back to SCSC2003 Abstracts