  Collecting data online via crowdsourcing platforms has proven to be a very
efficient way to recruit a large and diverse sample. Studies of motor learning,
however, have been largely confined to the lab due to the need for special
equipment to record movement kinematics and, as such, are typically only
accessible to specific participants (e.g., college students). As a first foray
to make motor learning studies accessible to a larger and more diverse
audience, we developed an online, web-based platform (OnPoint) to collect
kinematic data, serving as a template for researchers to create their own
online sensorimotor control and learning experiments. As a proof-of-concept, we
asked if fundamental motor learning phenomena discovered in the lab could be
replicated online. In a series of three experiments, we observed a close
correspondence between the results obtained online with those previously
reported from research conducted in the laboratory. This web-based platform
paired with online crowdsourcing can serve as a powerful new method for the
study of motor control and learning.
