Jeonghwan Jin
Papers
2
Total Citations
51
H-Index
2
About
Jeonghwan Jin is a researcher whose work bridges cognitive science, decision-making, and human-robot interaction. His primary research areas include judgment and decision processes, multiattribute task performance, and the application of analytical frameworks to complex human-machine systems. Jin’s most notable contribution is his 2010 study, “Using the Analytic Hierarchy Process to Examine Judgment Consistency in a Complex Multiattribute Task,” which has garnered 47 citations. In this work, he investigates how framing and time pressure affect human judgment in resource-allocation tasks, employing the Analytic Hierarchy Process to assess decision consistency. This research provides valuable insights into the cognitive mechanisms underlying human performance in high-stakes environments. Additionally, Jin’s 2005 paper, “A Visualization Framework for Bounding Physical Activities — Towards a Quantification of Gibsonian-Based Fields,” explores human-robot communication in space operations, proposing a framework for quantifying action possibilities. Though less cited, this work demonstrates his innovative approach to applying ecological psychology to robotics. Through his research, Jin has contributed to understanding how humans make decisions under constraints and how these insights can inform the design of collaborative systems, making his work relevant to students and researchers in cognitive engineering and human factors.
Research Focus
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Top Papers
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