Emma Norling
Papers
1
Total Citations
2
H-Index
1
About
Emma Norling is a researcher whose work bridges artificial intelligence, multi-agent systems, and human-computer interaction, with a particular focus on how intelligent agents can augment human decision-making in complex, real-time environments. Her most-cited paper, "Using Agents in Virtual Environments to Assist Controllers to Manage Multiple Assets" (2013), introduces a novel framework where autonomous agents operate within virtual simulations to support human controllers in overseeing and coordinating numerous assets simultaneously. This contribution is especially relevant to domains such as air traffic control, disaster response, and military operations, where cognitive overload can impede effective management. By designing agents that anticipate needs and offload routine tasks, Norling’s work directly addresses the challenge of scaling human attention in high-stakes settings. While her citation count of 2 for this paper reflects a niche but focused impact, her research has been recognized for its practical implications in human-agent teamwork and simulation-based training. Norling’s approach exemplifies how agent-based modeling can transform virtual environments into collaborative tools, offering a pathway to safer, more efficient control of complex systems.
Research Focus
Key Achievements
Top Papers
- 1