Differential rewarding & fining of operator decisions depending on adherence to decision support systems
Or Drath, M.Sc. student at the department of Industrial E Advisor: Prof. Joachim Meyer
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Abstract:
This thesis presents a model for quantifying operator behavior, performance, and responsibility in the context of Human-Automation decision-making. The proposed model considers different methods of fines and rewards to incentivize human responses to automation suggestions. The main objective is to assign tasks to humans and automation to optimize the overall system performance, considering human responsibility for outcomes. The model is based on Signal Detection Theory (SDT) and the ResQu model. It considers factors such as detection capabilities, signal frequency, and possible outcomes. It predicts the effects of differential payoffs, according to the correspondence of responses to the output of the decision support, on threshold settings for both humans and automation, and on the overall expected outcomes, combined performance, and human responsibility in the decision-making process. The proposed model provides a framework for modeling and analyzing Human-Automation interaction in binary decision-making scenarios in organizational settings.
Bio:
Or graduated from the Hebrew University of Jerusalem with a bachelor's degree in physics (main course) and natural sciences business administration (secondary course), and is currently completing his master's degree in industrial engineering from Tel Aviv University, specializing in human aspects in systems. Or is serving in the Directorate of Defense Research & Development in the Ministry of Defense (ת“מפא (as an operation researcher team leader for the past six years. In his research, he analyzes the effectiveness of operational systems, performs risk assessments, and builds quantitative models and simulations used as a research infrastructure for decisionmaking. His research concerns the areas of air defense systems, cyber defense, robotics and autonomy, and other areas of R&D for the Ministry of Defense.
E-Mail: ordrath2@gmail.com
