Patralika Ghosh
Papers
1
Total Citations
7
H-Index
1
About
Patralika Ghosh is a pioneering researcher in human-robot interaction and team cognition, with a focus on understanding how humans and autonomous systems collaborate under high-stakes conditions. Her most cited work, "All Human Versus Human-Robot Teaming: Measuring Neurophysiological Synchrony, Team Performance, and Trust during Search and Rescue" (2023, 7 citations), introduces a novel experimental paradigm using a multiplayer virtual search-and-rescue environment. By employing the Wizard of Oz approach, Ghosh compared all-human teams (three humans) with human-robot teams (two humans and a simulated quadruped robot), measuring neurophysiological synchrony, team performance, and trust networks. This research provides critical insights into how trust and coordination dynamics shift when a robot teammate is introduced, revealing that human-robot teams exhibit distinct patterns of neural coupling and trust formation compared to all-human teams. Her work bridges cognitive neuroscience and robotics, offering foundational evidence for designing more effective human-robot teams in emergency response. Ghosh’s contributions are shaping the future of collaborative autonomy, with implications for defense, disaster management, and human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1