Riley Woo
Papers
1
Total Citations
17
H-Index
1
About
Riley Woo is a leading researcher in motor control and motor learning, with a focus on developing accessible tools for experimental research. Their key contributions center on bridging the gap between traditional, high-precision laboratory setups and the need for scalable, remote experimentation. Woo’s most notable work, the "OnPoint" software package (2020, 17 citations), provides a robust platform for conducting online motor learning experiments, enabling researchers to collect high-quality behavioral data without the constraints of expensive, in-person equipment like digitizing tablets or robotic manipulanda. This innovation has been widely recognized for democratizing access to motor control research, allowing labs with limited resources to contribute to the field. Woo’s work has garnered attention for its practical impact, cited by peers developing similar online tools and methodologies. By addressing the logistical and financial barriers of traditional motor learning studies, Riley Woo has advanced the field’s ability to conduct large-scale, reproducible experiments, making them a pivotal figure in the shift toward digital, open-source research practices.
Research Focus
Key Achievements
Top Papers
- 1