Individuality transfer: Predicting human decision-making across task conditions

Abstract excerpt

Predicting an individual’s behaviour in one task condition based on their behaviour in a different condition is a key challenge in modeling individual decision-making tendencies. We propose a novel framework that addresses this challenge by leveraging neural networks and introducing a concept we term the “individual latent representation.” This representation, extracted from behaviour in a “source” task condition...

Topics

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• Cognition
• Eye Movements
• Models, Statistical
• Probability
• Proportional Hazards Models
• Psychomotor Performance
• Reaction Time
• Vision, Ocular

Identifiers and source

Literature Corpus work

8aef812e-d58f-58a5-9a23-73a5db3f8774

DOI

10.1101/2025.03.25.645375