Decision making under time pressure: an independent test of sequential sampling models

Area of Science:

• Cognitive psychology
• Decision science
• Computational neuroscience

Background:

• Understanding decision-making under risk is crucial for various fields.
• Sequential sampling models offer a framework for analyzing choice behavior.
• The impact of time pressure on risk-taking strategies requires further investigation.

Purpose of the Study:

• To compare behavioral data from a risk-taking task with predictions from a sequential sampling model.
• To investigate the effects of varying risk levels and time pressure on choice probability and response times.
• To elucidate the underlying decision strategies employed during risk assessment.

Main Methods:

• Participants completed a risk-taking decision-making task.
• Choice probability and response time data were collected.
• Data were analyzed in relation to predictions from a sequential sampling model under different risk levels and time pressure conditions.

Main Results:

• Behavioral data aligned with the sequential sampling model, showing decreased action likelihood with increased risk.
• Time pressure exhibited a non-uniform effect on choice probability, increasing risk-proneness at higher risk levels.
• Response times were longest at moderate risk levels and generally reduced by time pressure, especially for longer decision times.

Conclusions:

• The observed crossover interaction suggests a reduction in decision threshold rather than a strategy switch under time pressure.
• Response time data effectively refuted a fast-guess strategy explanation for time pressure effects.
• Sequential sampling models provide a robust framework for understanding the dynamics of risk-taking behavior.