Moria Fisher Bittmann
Papers
3
Total Citations
26
H-Index
3
About
Moria Fisher Bittmann’s research lies at the intersection of motor learning, human-computer interaction, and rehabilitation robotics, with a focus on how people adapt to sensory and mechanical distortions during movement. Her major contributions include pioneering the concept of “sensory crossover,” demonstrating that adaptation to visuomotor distortions (like prism glasses) can influence learning of mechanical force fields—a finding with 14 citations that reshaped understanding of how the brain integrates multiple error signals. She also developed “error fields,” a personalized robotic training method that augments an individual’s most common mistakes to accelerate motor learning, a breakthrough with 9 citations that promises to refine rehabilitation for stroke survivors and others with brain injuries. Her 2016 work on customized robotic training using the statistics of reaching errors (3 citations) further highlights her commitment to tailoring interventions to individual variability. Bittmann’s innovative approaches have the potential to transform neurorehabilitation, offering more adaptive, data-driven tools for restoring upper extremity function. Her work is essential reading for students and researchers in motor control, robotics, and clinical rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1Forces That Supplement Visuomotor Learning: A “Sensory Crossover” Experiment14 citations · 2016
- 2
- 3Customized Robotic Training Approaches Using the Statistics of Reaching Errors3 citations · 2016