APS

2024 APS Annual Convention · 2024

Predictions from Diffusion Modeling Applied to the Tower of London Task: Within-Trial Confidence Resolution Improves Planning Performance

San Francisco, CA · May 2024

Poster · Methodology

  • 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

← Poster Session IX