Laporsha Dees
Papers
1
Total Citations
3
H-Index
1
About
Dr. Laporsha Dees is pioneering the intersection of artificial intelligence and motor skill education, with a primary focus on how shared autonomy systems can revolutionize personalized training. Her most cited work, "Shared Autonomy for Proximal Teaching" (2025, 3 citations), addresses a critical bottleneck in specialized skill acquisition—namely, the scarcity of expert instructors for complex tasks like high-performance racing. Dr. Dees proposes that AI assistance can bridge this gap by dynamically adapting to a learner’s performance, offering real-time guidance that is both responsive and educational. Rather than simply automating a task, her research emphasizes a collaborative framework where human and machine co-pilot the learning process, ensuring the trainee remains actively engaged. This approach has the potential to democratize access to elite-level coaching, making high-quality motor skill training available beyond traditional, resource-intensive settings. While still early in her career, Dr. Dees’ work signals a transformative shift toward intelligent, adaptive teaching systems that could reshape fields from competitive sports to surgical training.
Research Focus
Key Achievements
Top Papers
- 1Shared Autonomy for Proximal Teaching3 citations · 2025