Dae Han Seong
Papers
1
Total Citations
4
H-Index
1
About
Dae Han Seong is a researcher at the forefront of human-autonomy teaming, with a focused expertise in the psychological and behavioral dynamics that underpin effective collaboration between humans and intelligent systems. His work centers on identifying and operationalizing critical team-level constructs—specifically, trust and cohesion—that are essential for the success of future human-autonomy teams. In his most-cited paper, "Identifying New Team Trust and Team Cohesion Metrics that Support Future Human-Autonomy Teams" (2020), Seong proposes novel metrics that move beyond traditional interpersonal measures, offering a framework to assess how trust and cohesion function when one or more teammates are autonomous agents. This contribution is particularly impactful for designing more resilient and adaptive human-machine teams in domains like defense, healthcare, and autonomous systems. While his citation count is still building, his work is foundational for researchers and engineers grappling with the challenge of integrating AI into collaborative environments. Seong’s research is vital reading for anyone interested in the human factors of next-generation teamwork.
Research Focus
Key Achievements
Top Papers
- 1