SABER: Spatial Attention, Brain, Extended Reality
Tom Bullock, Emily Machniak, You-Jin Kim, Radha Kumaran, Justin Kasowski, Apurv Varshney, Julia Ram, Melissa M. Hernandez, Stina Johansson, Neil M. Dundon, Tobias H\"ollerer, Barry Giesbrecht

TL;DR
This paper introduces SABER, a novel VR-based framework that combines behavioral and EEG data to track and understand the neural mechanisms of attention to moving objects in 3D space.
Contribution
SABER is the first framework to study neural and behavioral dynamics of 3D object attention in immersive VR using EEG and computational modeling.
Findings
EEG metrics from static 2D tasks generalize to VR 3D stimuli
Attention to moving objects can be reconstructed from EEG oscillations
The framework enables precise tracking of attention in 3D environments
Abstract
Tracking moving objects is a critical skill for many everyday tasks, such as crossing a busy street, driving a car or catching a ball. Attention is a key cognitive function that supports object tracking; however, our understanding of the brain mechanisms that support attention is almost exclusively based on evidence from tasks that present stable objects at fixed locations. Accounts of multiple object tracking are also limited because they are largely based on behavioral data alone and involve tracking objects in a 2D plane. Consequently, the neural mechanisms that enable moment-by-moment tracking of goal-relevant objects remain poorly understood. To address this knowledge gap, we developed SABER (Spatial Attention, Brain, Extended Reality), a new framework for studying the behavioral and neural dynamics of attention to objects moving in 3D. Participants (n=32) completed variants of a…
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Taxonomy
TopicsNeural and Behavioral Psychology Studies · Spatial Cognition and Navigation · EEG and Brain-Computer Interfaces
