Human-AI Collaborative Decision-making: A Cognitive Ergonomics Approach

Abstract This research paper explores the dynamic interplay between human cognition and artificial intelligence (AI) in the context of decision-making, employing a cognitive ergonomics framework. As AI technologies continue to evolve and inte- grate into various aspects of human life, the collaboration between humans and AI becomes increasingly significant. This study investigates the cognitive load experienced by individuals during collaborative decision-making processes with AI systems, aiming to optimize interface design for enhanced cognitive perfor- mance. Leveraging principles of cognitive ergonomics, the research examines how varying degrees of AI involvement impact decision-making efficiency, user trust, and transparency. By employing a mixed-methods approach involving cognitive workload assessments and user experience analyses, the study sheds light on the intricacies of human-AI collaboration. The findings not only contribute to the theoretical understanding of cognitive ergonomics in the context of AI but also offer practical insights for the design and implementation of effective human-AI decision support systems.