End-To-End Intelligent Automation Loops

Situation awareness has become a popular method for modelling human–automated process allocation and, more recently, applied to model collaboration between humans and autonomous artificially intelligent agents. However, the role of how to distribute decision-making within this new collaborative paradigm remains underexplored. In this manuscript paper, we propose an integration of situation awareness into the decision-making process by combining the Endsley Situation Awareness model with contextually tailored sequences of cognitive activity referred to as end-to-end decision-making loops. We posit that this approach benefits designers, implementers, and users of intelligent systems as it orchestrates a cognitive and perceptual alignment between human and non-human agents, thereby enabling the formation of meaningful end-to-end action loops.