APS
2024 APS Annual Convention · 2024
Predictions from Diffusion Modeling Applied to the Tower of London Task: Within-Trial Confidence Resolution Improves Planning Performance
- Ritesh Malaiya
The University of Texas at Dallas - Stacie Warren
The University of Texas at Dallas - Stacie Warren
The University of Texas at Dallas
Abstract
Trajectories of within-trial confidence levels for 153 participants across 13 trials of the Tower of London (TOL) planning task was approximated using a Drift Diffusion Model. Participants predicted to be at peak confidence level during the first planning step were more likely to complete the TOL efficiently.
Decision Making