ePoster · Cognition
Modeling Decision-Making in Trajectory Extrapolation Tasks: Comparing Random Sampling Model and Multi-Layer Perceptron Approaches
Olga Polezhaeva, Michel-Ange Amorim, Stefan Glasauer · Bernstein Conference 2024
This study explores the decision-making processes involved in trajectory extrapolation tasks. Vertical paths were disturbed in the horizontal direction by noise generated by Random Walks (RDW) or Independent and Identically Distributed (IID) noise. In the Experiment, participants (n = 28) extrapolated if a moving point would end right or left of the screen’s center. We modeled path extrapolation using a three-parameter Random Sampling Model (RSM), and a Multi-Layer Perceptron (MLP). Statistically, for RDW paths, the optimal extrapolation strategy is to use the last visible position, whereas fo