Human-AI Cognitive Integration: Interface Integrity and Cognitive System Safety in Human Factors Engineering
Cognitive integration between humans and artificial systems can be understood as a safety-critical “interface integrity” problem: when the coupling between agent and user (or agent and operator) is well designed, it supports coherent attention, accurate mental models, and reliable decision-making; when it fails, it can produce cognitive fragmentation, mode confusion, and unsafe behavior. While the… Read More »