Multimodal Assessment of Cognitive-Motor Interference in Realistic Virtual Task Environments: A Mobile EEG and Eye-Tracking Study

Autor: Reiser, Julian Elias, Schindler, Hanna
Rok vydání: 2023
Předmět:
DOI: 10.17605/osf.io/k2rgu
Popis: Performing cognitive tasks while in motion is a common part of our daily routine, emphasizing the need to investigate this relationship in natural, ecologically valid settings. This is of particular interest since previous research revealed discrepancies between laboratory and realistic task settings with respect to cognitive performance and electrophysiological measures, most likely due to increased sensory input and task complexity in the real-world. Reiser et al. (2021) addressed this issue in an experiment where people were supposed to perform a cognitive task in a real-world environment while dealing with varying levels of movement complexity. Our aim is to run a similar experiment in a more controlled, yet still complex, laboratory environment, as external factors like optical flow could have potentially confounded the results of the previous experiment. That is, participants will perform in a visual task-switching paradigm while moving through a realistic virtual environment under different conditions of movement. Our analysis will encompass various data sources, including behavioral measures, electrophysiological and eye-tracking data, as well as questionnaires and motion-capturing data. Based on evidence from dual-task experiments, we expect that increased movement complexity will lead to lower performance outcomes and decrements in the cognitive task's processing measured using a mobile EEG system. This may be due to common resources shared between motor and cognitive processes, with executive functions guiding the allocation of attentional resources during dual-tasking.
Databáze: OpenAIRE