Anand Tharanathan
Papers
1
Total Citations
8
H-Index
1
About
Anand Tharanathan’s research lies at the intersection of human factors, automation, and robotics, with a focus on how operators maintain situation awareness (SA) while controlling unmanned systems. His most-cited work, “Performance and Situation Awareness Effects in Collaborative Robot Control with Automation” (2008, 8 citations), explores the critical challenge of designing automation that supports rather than undermines an operator’s understanding of the robot and its remote environment. Tharanathan’s contributions highlight the delicate balance between task performance and SA—showing that poorly designed automation can degrade awareness even as it improves efficiency. His findings have implications for domains ranging from military drone operations to industrial robotics, where human-robot collaboration is essential. While his citation count reflects a niche but foundational impact, his work is notable for bridging cognitive engineering and practical system design. For students and researchers in human-robot interaction, Tharanathan’s research offers a clear, evidence-based framework for designing automation that keeps the human in the loop, ensuring safety and effectiveness in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1