Analyzing Adaptive Work‐System Patterns in Complex Socio‐Technical Systems

This paper introduces a pattern-based analytical framework to understand how joint cognitive systems adapt within complex socio-technical environments. Building on Cognitive Systems Engineering (CSE) and the Work-as-X (WAx) framework, it formalizes work system patterns via the Structured Exploration of Complex Adaptations (SECA) method. The approach integrates data analytics with narrative inquiry, transforming qualitative accounts into structured, reusable knowledge. The resulting pattern library is expected to support proactive safety management and organizational learning at large, enhancing adaptive capacity and resilience across dynamic operational contexts.