Shaozhang Dai

Monash University

Papers

2

Total Citations

12

H-Index

2

About

Shaozhang Dai is a pioneering researcher at the intersection of human-computer interaction, immersive analytics, and haptic feedback systems. Their work fundamentally addresses a critical challenge in virtual and augmented reality environments: how to enable precise data interaction without sacrificing the user’s spatial awareness and contextual overview. Dai’s most influential contribution, “RoboHapalytics: A Robot Assisted Haptic Controller for Immersive Analytics” (2022, 9 citations), introduced a novel robotic haptic controller that provides tangible guidance during mid-air data exploration—a breakthrough that bridges the gap between free-form gesture interaction and the precision of physical controls. Building on this foundation, their 2024 work “Precise Embodied Data Selection with Haptic Feedback while Retaining Room-Scale Visualisation Context” (3 citations) tackles the persistent problem of focus-and-context in room-scale visualizations, enabling users to select individual data points with high accuracy while maintaining a wide-scale overview. This elegant solution to a fundamental tension in immersive analytics has positioned Dai as a leading voice in designing embodied, intuitive interfaces for big data exploration. Their research promises to transform how scientists, analysts, and students interact with complex three-dimensional datasets.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
RoboHapalytics: A Robot Assisted Haptic Controller for Immersive Analytics
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Monash University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago