Michael Therrien
Papers
1
Total Citations
4
H-Index
1
About
Michael Therrien’s research lies at the intersection of human-automation interaction and cognitive systems engineering, with a particular focus on how context is represented and shared in mixed-initiative teams. His most influential work introduces the Context for Human and Automation Teams (CHAT) model, a framework designed to abstract and represent contextual information in a way that is actionable for both human operators and automated systems. This foundational contribution, published in 2011, has garnered 4 citations and serves as a key reference for researchers exploring context-aware automation and team coordination. Therrien’s work addresses a critical challenge in complex, high-stakes environments: ensuring that humans and machines can operate from a shared understanding of the situation. By formalizing context representation, his research has implications for domains such as aviation, military command and control, and autonomous systems. Though his citation count is modest, the conceptual depth of the CHAT model marks him as a thoughtful contributor to the ongoing dialogue on human-machine teaming and adaptive automation.
Research Focus
Key Achievements
Top Papers
- 1