Mobile EEG identifies the re-allocation of attention during real-world activity

Ladouce, Simon; Donaldson, David I.; Dudchenko, Paul A.; Ietswaart, Magdalena · 2019 · Crossref

DOI: 10.1038/s41598-019-51996-y

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This study investigates how limited attentional resources are distributed during real-world behavior, specifically addressing the cognitive drivers behind the re-allocation of attention during naturalistic movement. While laboratory studies have established that human attention has finite capacity, little is known about how these resources are managed in complex, dynamic environments. The authors employ a mobile cognition approach using electroencephalography (EEG) to characterize attentional shifts across competing sensory-cognitive demands. The research is motivated by the need to understand the neural mechanisms underlying attention distribution in real-world contexts, such as the increased risks associated with multitasking during activities like driving. The researchers conducted three experiments using mobile EEG to record the Event-Related Potential (ERP) P300 effect, a robust neural marker of attention, while participants performed an auditory oddball task. In Experiment 1 (N=11), participants performed the task while standing still versus walking through a hallway. Experiment 2 (N=24) aimed to determine if the physical act of walking caused the observed attentional reduction by comparing standing, hallway walking, treadmill walking, and being wheeled in a wheelchair. Experiment 3 (N=24) utilized a factorial design to isolate the contributions of visual and inertial stimulation. Participants were either stationary or wheeled, while viewing either a static grey wall or a dynamic video of hallway traversal. EEG data were processed using Independent Component Analysis to remove artifacts, and P300 amplitudes were analyzed using repeated measures ANOVA. The results demonstrated that attention to target stimuli, measured by P300 amplitude, was significantly reduced during walking compared to standing. Experiment 2 revealed that this reduction was not caused by the physical act of walking itself, as treadmill walking produced P300 amplitudes closer to standing levels. Instead, the reduction was driven by motion-related sensory inputs, as being wheeled produced an equivalent attentional reduction to hallway walking. Experiment 3 identified that visual and inertial stimulation independently capture attention. Both visual stimulation (dynamic viewing) and inertial stimulation (physical movement) significantly reduced P300 amplitudes. Crucially, the reduction in attention during combined visual and inertial stimulation was the linear and additive sum of the independent effects of each modality, with visual stimulation accounting for approximately 63% and inertial stimulation for 37% of the total attentional capture. These findings provide precise evidence that limited attentional resources are re-allocated according to the specific sensory processing demands of real-world behavior. The study demonstrates that the cognitive cost of motion is not due to motor execution but rather to the processing of visual and inertial sensory inputs. This work validates the mobile EEG methodology for studying embodied cognition and offers a mechanistic understanding of how attention is distributed in naturalistic settings, with implications for understanding real-world multitasking and safety.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• neuro workload indices

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: physiological data