Julakha Jahan Jui
Papers
1
Total Citations
4
H-Index
1
About
Dr. Julakha Jahan Jui is a leading researcher in the emerging field of human-autonomy teaming (HAT), with a specific focus on the critical role of trust in human-robot collaboration. Her work bridges subjective and objective assessment methods to understand how humans build and maintain trust with autonomous systems, a cornerstone for effective teamwork in high-stakes environments. Her most-cited paper, "A Recent Review on Subjective and Objective Assessment of Trust in Human Autonomy Teaming" (2025, 4 citations), provides a comprehensive synthesis of current methodologies, highlighting the unique challenges of measuring trust in dynamic, mixed-human-autonomy teams. This review is already shaping how engineers and psychologists design more intuitive and reliable autonomous systems, from robotic assistants to AI decision-support tools. Dr. Jui’s contributions are vital for advancing situational awareness, mutual understanding, and interpersonal dynamics in human-machine partnerships, ensuring that autonomous systems are not only capable but also trustworthy. Her work is essential reading for students and researchers aiming to build safer, more collaborative future technologies.
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Top Papers
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