Prediction-based attention computing: a proof of concept study.

ABSTRACT: Recent advancements in extended reality (XR) and data modelling present new opportunities for adaptive simulation solutions, which can measure and respond to individual neuropsychological states. However, questions remain about the optimal metrics for real-time data capture and the applicability of these solutions for enhancing user experiences. The present research examined a novel form of adaptive XR, called "prediction-based attention computing" (PbAC), which tailors simulations based on computational models of the brain and, thus, the dynamic sensorimotor processes theorised to underpin human perception and learning. Specifically, this study aimed to demonstrate whether PbAC can adaptively capture users' internal state predictions and modulate associated neuropsychological responses. T

SUBMITTER: Arthur T 

PROVIDER: S-EPMC12855329 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature