OnPoint

OnPoint implements online motor control and motor learning experiments to enable experimental manipulation and measurement comparable to laboratory-based paradigms.

Key Features:

• Online simulation of traditional apparatus: Implements experiment paradigms on web platforms that simulate digitizing tablets, robotic manipulanda, and virtual reality (VR) displays.
• Large-N study support: Enables collection of large-scale datasets to increase statistical power and generalizability of findings.
• Versatile experimental designs: Supports rapid pilot testing, direct replication of prior studies, and longitudinal experiments to study dynamics of motor learning over time.

Scientific Applications:

• Motor adaptation: Facilitates experiments probing adaptation processes in sensorimotor control.
• Skill acquisition and retention: Enables studies of skill learning and retention across repeated sessions and extended time periods.
• Large-sample hypothesis testing and replication: Supports replication studies and hypothesis testing that require large, diverse participant samples.

Methodology:

Runs motor control experiment paradigms on online platforms, simulating traditional laboratory apparatus such as digitizing tablets, robotic manipulanda, and VR displays.