Sean Sanford
Papers
1
Total Citations
3
H-Index
1
About
Sean Sanford is a researcher at the forefront of human-computer interaction and motor learning, with a primary focus on how augmented sensory feedback (ASF) can enhance skill acquisition in virtual reality (VR). His work centers on the intersection of cognitive neuroscience and rehabilitation engineering, particularly for upper extremity function. In his most cited study (2024, 3 citations), Sanford systematically investigated how different types of ASF—visual, haptic, and combined visual-haptic cues—influence both motor performance and physiological markers of cognitive load and physical arousal during VR-based training. This foundational research provides critical insights for designing more effective neurorehabilitation protocols and VR training systems. By demonstrating that the type of sensory feedback uniquely shapes learning outcomes and user experience, Sanford’s contributions help bridge the gap between theoretical models of motor control and practical applications in clinical and educational settings. His work is particularly notable for its interdisciplinary approach, combining rigorous experimental design with real-world implications for stroke rehabilitation and skill training.
Research Focus
Key Achievements
Top Papers
- 1