A Case Study of the Validity of Web-based Visuomotor Rotation Experiments.

Area of Science:

• Motor learning research
• Human participant experiments
• Web-based experimental platforms

Background:

• Online experiments offer increased statistical power, reduced overhead, and broader participant demographics.
• A need exists to assess the feasibility and data quality of extended (80-min) web-based motor learning studies.
• Current online studies are typically shorter, with crowdsourced studies averaging 10 minutes.

Purpose of the Study:

• To develop and evaluate an online platform for visuomotor rotation experiments.
• To examine data quality and motor adaptation in a remote setting.
• To investigate the impact of rotation size and sensory uncertainty on adaptation.

Main Methods:

• An online platform modeled on in-laboratory visuomotor rotation experiments was deployed.
• Data from 49 participants were collected over an 80-minute experiment.
• Motor adaptation was assessed under three rotation sizes and two sensory uncertainty conditions.

Main Results:

• Results replicated in-laboratory findings regarding perturbation-driven motor adaptation.
• Sensory uncertainty influenced adherence to the relevance estimation hypothesis.
• Online data collection revealed potentially smaller effect sizes and higher variability.

Conclusions:

• Web-based experiments are feasible for motor learning research, offering advantages in participant recruitment.
• Challenges include managing data variability and potentially shorter optimal experiment durations.
• Online paradigms present both opportunities and considerations for future motor learning research.