Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies

arXiv:2402.13219v1 Announce Type: cross
Abstract: In complex industrial and chemical process control rooms, effective decision-making is crucial for safety and effi- ciency. The experiments in this paper evaluate the impact and applications of an AI-based decision support system integrated into an improved human-machine interface, using dynamic influ- ence diagrams, a hidden Markov model, and deep reinforcement learning. The enhanced support system aims to reduce operator workload, improve situational awareness, and provide different intervention strategies to the operator adapted to the …

abstract applications arxiv control cs.ai cs.hc cs.lg cs.ma cs.sy decision decision support eess.sy framework human impact industrial loop making paper process reinforcement reinforcement learning safety strategies support type