A lottery-decision task that measures risk preference by presenting guaranteed amounts against probabilistic prizes.
Configure parameters and run an interactive preview exactly as participants will experience it. No data is recorded.
Adjust parameters below, then start the preview on the right.
Include practice trials
Shown with feedback before the main task
Task parameters
Certain vs probabilistic reward choices. Outputs: risky choice proportion and average risk premium.
This is a researcher preview. No participant data is recorded.
Simulated participant view
A lottery-decision task that measures risk preference by presenting guaranteed amounts against probabilistic prizes.
No data is recorded
On each trial two options are shown: a certain amount and a probabilistic prize. Probability is visualised as a filled circle array. The participant taps their preferred option.
Useful in economic psychology, addiction, anxiety, and personality research where individual risk preference is relevant. Also suitable as a baseline measure in any study collecting reward-sensitivity data.
Not suitable as a clinical diagnostic instrument. Currency framing should be adapted to participant cultural context.
Vary probability levels across trials to sample the full range of the participant's risk curve. Use at least 15–20 trials for stable estimates.
Risky-choice proportion is a summary metric. A full utility-function estimate requires fitting a model (e.g., prospect theory) to the trial-level data exported from SMAAT.