Bin Sheng Voong
Papers
1
Total Citations
5
H-Index
1
About
Bin Sheng Voong is a researcher whose work lies at the intersection of human-robot interaction, trust dynamics, and computational creativity. His most notable contribution, "Creativity in Measuring Trust in Human-Robot Interaction Using Interactive Dialogs" (2018), has garnered 5 citations and introduces an innovative framework that leverages dialog-based creativity to assess and quantify trust between humans and robots. This work challenges traditional metrics by integrating adaptive, context-sensitive interactions, offering a more nuanced understanding of how trust evolves in real-time collaborative settings. Voong’s approach emphasizes the role of creative dialog as both a tool for measurement and a mechanism for fostering deeper human-robot rapport. While his citation count reflects a focused, emerging impact, his research is particularly valuable for scholars designing socially intelligent robots that require transparent, trust-building communication. By bridging creativity with trust assessment, Voong provides a fresh perspective for human-robot interaction studies, making his work a foundational reference for those exploring non-traditional, interaction-driven trust metrics in robotics and AI.
Research Focus
Key Achievements
Top Papers
- 1