ORIGINAL RESEARCH article
Front. Hum. Neurosci.
Sec. Cognitive Neuroscience
Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1459653
fNIRS, EEG, ECG, and GSR reveals an effect of complex, dynamically changing environments on cognitive load, affective state, and performance, but not physiological stress
Provisionally accepted- 1University of Bristol, Bristol, United Kingdom
- 2TrollLABS, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag, Norway
- 3SCANCOR, Graduate School of Education, Stanford University, Palo Alto, United States
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This work used functional near-infrared spectroscopy (fNIRS), electroencephalography (EEG), electrocardiography (ECG), electrodermal activity (EDA), performance, and subjective self-reports to investigate cognitive load and stress in a complex, dynamically changing environment. N=30 participants were tasked with three Tetris gameplays: Easy and Hard had constant difficulties, and Ramp started at a low difficulty before successively ramping up to a very high difficulty level. Participants performed significantly best in Easy, followed by Ramp and Hard. In general, increased workload resulted in increased cognitive load and stress, but only until a certain threshold, after which fNIRS activation reduced, possibly due to mental fatigue or disengagement. We furthermore found a temporal effect of workload in the constant workload conditions, evidenced by increased fNIRS activation (HbO increase and HbR decrease), and mental fatigue measured by EEG (Delta power increase). Despite large differences in cognitive load, we found little between-condition differences in physiological stress response as measured by ECG and EDA. At the same time, Easy yielded significantly higher participant-ratings of valence, enjoyment, workload acceptability, and subjective performance, compared to Hard, indicating differing affective states. The combination of indistinguishable physiological stress and different affective states suggests participants experienced more a state of eustress in Easy and distress in Hard.
Keywords: human-machine interaction, Workload, physiology sensors, Neuroimaging, multimodal, affective state, Tetris
Received: 04 Jul 2024; Accepted: 01 May 2025.
Copyright: © 2025 Dybvik, Erichsen, Snider and Steinert. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Henrikke Dybvik, University of Bristol, Bristol, United Kingdom
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