Christina Kokini
Papers
1
Total Citations
8
H-Index
1
About
Christina Kokini’s research lies at the intersection of human factors engineering and human-robot interaction, with a particular focus on how operators maintain situation awareness (SA) while controlling robotic systems. Her most-cited work, “Performance and Situation Awareness Effects in Collaborative Robot Control with Automation” (2008, 8 citations), examines the critical challenge of how automation impacts an operator’s ability to stay aware of the robot’s actions and the remote environment. This study demonstrated that while automation can improve task performance, it may simultaneously degrade SA—a finding with direct implications for the design of safer, more effective unmanned systems in domains like search-and-rescue and military operations. Kokini’s contributions help bridge the gap between autonomous capabilities and human cognitive needs, ensuring that operators remain in the loop even as robots become more independent. Her work is essential reading for students and researchers designing collaborative human-robot teams, highlighting the delicate balance between efficiency and awareness that defines successful automation.
Research Focus
Key Achievements
Top Papers
- 1