A Framework for Identifying Key Decision-Maker Attributes in Uncertain and Complex Environments

This paper presents a framework for eliciting and identifying key decision-maker attributes in uncertain and complex environments. Developed through semi-structured cognitive interviews with civilian and combat medics, the framework consists of four components: identifying sources of decision difficulty, categorizing decision types, mapping the key attributes across the types of difficulty and types of decisions, and evaluating trust-related factors. This approach provides a method for examining expert decision-making and trust in other highstakes domains and supports the development of algorithmic decision-makers and AI-driven support systems.