Jeanine Ayers

Papers

Total Citations

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About

Jeanine Ayers is a pioneering researcher in human-robot teaming, with a focus on developing intelligent coordination and communication frameworks for complex, high-stakes environments. Her work centers on three key areas: agent-based coordination for human-multirobot teams, multimodal interaction design, and context-aware automation. Ayers’s most influential contribution is her 2010 paper on agent-based coordination for room clearing operations, which addresses the dangerous challenge of building surveillance in military and police settings. This work, with 8 citations, proposes a framework for integrating autonomous systems with human teams to enhance safety and effectiveness. Her 2013 paper on multimodal interaction for human-robot teams (5 citations) explores how unmanned ground vehicles can support dismounted teams in mapping, security, and reconnaissance, emphasizing the need for intuitive communication channels. Additionally, her 2011 introduction of the Context for Human and Automation Teams (CHAT) model (4 citations) provides a foundational approach to representing context at an actionable level for both humans and automated systems. Ayers’s research is notable for its direct application to real-world challenges, bridging the gap between autonomous systems and human operators in dynamic, uncertain environments.