Unraveling the Dynamics of Mental and Visuospatial Workload in Virtual Reality Environments

Mental workload, visuospatial processes and autonomic nervous system (ANS) activity are highly intertwined phenomena crucial for achieving optimal performance and improved mental health. Virtual reality (VR) serves as an effective tool for creating variety of controlled environments to better probe these features. This study investigates the relationship between mental and visuospatial workload, physiological arousal, and performance during a high-demand task in a VR environment. We utilized a modified version of the popular computer game TETRIS as the task, involving 25 participants, and employed a physiological computing VR headset that simultaneously records multimodal physiological data. Our findings indicate a broadband increase in EEG power just prior to a helper event, followed by a spike of visuospatial engagement (parietal alpha and beta 0-1-3 s) occurring concurrently with a decrease in mental workload (frontal theta 2–4 s), and subsequent decreases in visuospatial engagement (parietal theta at 14 s) and physiological arousal (HRV at 20 s). Regression analysis indicated that the subjective relief and helpfulness of the helper intervention was primarily driven by a decrease in physiological arousal and an increase in visuospatial engagement. These findings highlight the importance of multimodal physiological recording in rich environments, such as real world scenarios and VR, to understand the interplay between the various physiological responses involved in mental and visuospatial workload.

Authors

Institutions

Publication Details

Journal
Computers
Published
2024-09-26
DOI
https://doi.org/10.3390/computers13100246
Citations
8
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
5.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling the Dynamics of Mental and Visuospatial Workload in Virtual Reality Environments

Nelson Hidalgo, Tyler Barnes-Diana, Guillermo Bernal, Pattie Maes et al.
8 citations
Computers
Human-Automation Interaction and Safety
5.15
article

Unraveling the Dynamics of Mental and Visuospatial Workload in Virtual Reality Environments

Nelson Hidalgo, Tyler Barnes-Diana, Guillermo Bernal, Pattie Maes, İsmail Emir Yassı, Yodahe Alemu, Hahrin Jung
article en
8 citations

Abstract

Mental workload, visuospatial processes and autonomic nervous system (ANS) activity are highly intertwined phenomena crucial for achieving optimal performance and improved mental health. Virtual reality (VR) serves as an effective tool for creating variety of controlled environments to better probe these features. This study investigates the relationship between mental and visuospatial workload, physiological arousal, and performance during a high-demand task in a VR environment. We utilized a modified version of the popular computer game TETRIS as the task, involving 25 participants, and employed a physiological computing VR headset that simultaneously records multimodal physiological data. Our findings indicate a broadband increase in EEG power just prior to a helper event, followed by a spike of visuospatial engagement (parietal alpha and beta 0-1-3 s) occurring concurrently with a decrease in mental workload (frontal theta 2–4 s), and subsequent decreases in visuospatial engagement (parietal theta at 14 s) and physiological arousal (HRV at 20 s). Regression analysis indicated that the subjective relief and helpfulness of the helper intervention was primarily driven by a decrease in physiological arousal and an increase in visuospatial engagement. These findings highlight the importance of multimodal physiological recording in rich environments, such as real world scenarios and VR, to understand the interplay between the various physiological responses involved in mental and visuospatial workload.

ComputersVol. 13(10)
Bursa Uludağ Üni̇versi̇tesi̇ (TR), Brown University (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 5%
Human-Automation Interaction and Safety
5.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Unraveling the Dynamics of Mental and Visuospatial Workload in Virtual Reality Environments — Nelson Hidalgo, Tyler Barnes-Diana, et al. · Computers (2024) | TGRS Research Map | TGRS