Risky actions: Why and how to estimate variability in motor performance

Area of Science:

• Psychology
• Cognitive Science
• Human Performance

Background:

• Measuring performance variability is critical for understanding risk perception.
• Existing methods face challenges, especially when extensive trials are not feasible.
• Accurate performance measurement is often overlooked in risk perception research.

Purpose of the Study:

• To address the difficulties in measuring performance variability in risk perception studies.
• To introduce a novel "pooled-slope" method for estimating individual performance variability.
• To improve the accuracy of performance level estimations and risk comparisons.

Main Methods:

• Utilized a dataset of adult performance in throwing and walking tasks.
• Employed psychometric functions to model the rate of successful attempts.
• Developed and applied the "pooled-slope" solution for estimating task-specific variability.

Main Results:

• Mischaracterizing performance variability leads to significant errors in risk perception analyses.
• The "pooled-slope" solution effectively approximates individual performance variability.
• This method outperforms arbitrary assumptions about performance variability.

Conclusions:

• Objective measurement of performance variability using the pooled-slope method enhances risk perception studies.
• The approach improves comparisons of risk across participants, tasks, and research settings.
• Accurate performance assessment is key to advancing the field of risk perception research.