Dzenan Babajic
Papers
1
Total Citations
3
H-Index
1
About
Dženan Babajić investigates the intersection of human factors and robotics, focusing on how movement speed and interaction instructions shape human-robot collaboration. His most-cited work, a 2023 study, examines the nuanced effects of these variables on subjective assessments, task performance, and psychophysiological reactions during human-robot interaction. By integrating measures like perceived workload, efficiency, and physiological responses (e.g., heart rate or skin conductance), Babajić provides empirical insights into designing robots that feel more intuitive and less stressful for human partners. This research, with 3 citations, contributes to the growing field of socially aware robotics, where optimizing interaction parameters can enhance trust and usability. His work is particularly relevant for applications in manufacturing, healthcare, and service robotics, where seamless human-robot teamwork is critical. Babajić’s approach bridges engineering and psychology, offering practical guidelines for robot designers and highlighting the importance of user-centered design in automation.
Research Focus
Key Achievements
Top Papers
- 1