About

Anil Ufuk Batmaz is a leading researcher in human-computer interaction, with a focus on telepresence robotics, haptics, and virtual reality (VR). His work explores how humans interact with remote and virtual systems, particularly under sensory constraints. A key contribution is his study of telepresence robot navigation in dense environments, where he demonstrated that automatic speed control based on distance significantly improves user behavior and safety—work that has garnered 14 citations. Batmaz has also advanced the understanding of haptic behaviors in robot-assisted surgery, comparing novice and expert users (11 citations), and analyzed how visual input affects speed, precision, and grip force in manual operations (9 citations). His recent research addresses critical issues in VR, including an early warning system for hand-tracking failures in head-mounted displays, which enhances user experience and system reliability. With a growing citation record, Batmaz’s work is shaping the design of more intuitive and robust interfaces for teleoperation, surgical training, and immersive environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
35
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
How automatic speed control based on distance affects user behaviours in telepresence robot navigation within dense conference-like environments
14 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Simon Fraser University, Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie, Concordia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago