Matthew D. Manning
Papers
2
Total Citations
26
H-Index
2
About
Matthew D. Manning is a researcher focused on human-swarm interaction and the design of effective visualizations for robotic swarms. His work addresses a critical challenge in swarm robotics: how humans can perceive and control large groups of autonomous agents when individual tracking is impractical. Manning’s most cited paper, "Heuristic Evaluation of Swarm Metrics’ Effectiveness" (2015, 18 citations), establishes foundational principles for evaluating swarm visualizations, demonstrating that humans tend to perceive swarms as a single entity rather than as individuals—a key insight for interface design. His follow-up study, "Analysis of Human-Swarm Visualizations" (2018, 8 citations), further explores how visual representation and task demands influence operator performance, providing empirical evidence to guide the development of intuitive swarm control systems. Though early in his career, Manning’s contributions are shaping how researchers approach human oversight of complex multi-agent systems, with implications for search-and-rescue, environmental monitoring, and military operations. His work bridges cognitive psychology and robotics, offering practical heuristics for designing swarm interfaces that align with natural human perception.
Research Focus
Key Achievements
Top Papers
- 1Heuristic Evaluation of Swarm Metrics' Effectiveness18 citations · 2015
- 2Analysis of Human-Swarm Visualizations8 citations · 2018