Shi Jie Alicia Sim

Papers

1

Total Citations

2

H-Index

1

About

Shi Jie Alicia Sim is a researcher whose work lies at the intersection of human-robot interaction (HRI) and voice user interface (VUI) design, with a focus on enhancing user experience through intuitive, conversational technologies. Her most-cited paper, “I Know U” – A Proposed VUI Design for Improving User Experience in HRI (2013), proposes a novel framework for integrating voice-based interfaces into robotic systems, aiming to make human-robot communication more natural and accessible. Although her citation count remains modest, this work exemplifies her early contribution to a growing field—addressing the critical challenge of bridging the gap between technical functionality and user-centered design. Sim’s research underscores the importance of empathy and usability in HRI, offering foundational insights that resonate with ongoing efforts to create more responsive and socially aware robots. Her work serves as a stepping stone for students and researchers exploring how voice interfaces can transform interactions with autonomous systems, highlighting the need for design that prioritizes human comfort and efficiency.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
“I Know U” – A Proposed VUI Design for Improving User Experience in HRI
2 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago