Journal: Scientific Reports
Article Title: Videoconference fatigue from a neurophysiological perspective: experimental evidence based on electroencephalography (EEG) and electrocardiography (ECG)
doi: 10.1038/s41598-023-45374-y
Figure Lengend Snippet: ( a ) Temporal evolution of the average (± standard error) of the EEG band power in the Delta (D; first row), Theta (T; second row), Alpha (A; third row), and Beta (B; fourth row) frequency bands during the videoconferencing (red lines) and face-to-face sessions (green lines). Each column represents a different EEG channel (Fz, Cz, Pz, O1, and O2 from left to right). Statistically significant differences ( p < 0.05) between the two conditions are denoted with black dots on the temporal axis of each subplot. ( b ) Boxplots illustrating the distribution of the average over time EEG band power (Delta (D): first row, Theta (T): second row, Alpha (A): third row, Beta (B): fourth row) within participants for the videoconferencing (red) and the face-to-face (green) conditions. Each column represents different EEG channels (Fz, Cz, Pz, O1, and O2 from left to right). Statistically significant differences between the two conditions are denoted with asterisks (* p < 0.05, ** p < 0.01, *** p < 0.001).
Article Snippet: However, this radical adoption and extensive use of videoconferencing tools also has a dark side, referred to as videoconference fatigue (hereafter VCF); note that Zoom Fatigue is used as a synonym for VCF in the literature, despite the fact that this fatigue also applies to the exhaustion that may result from the use of other videoconferencing tools (e.g., Teams, Webex, Skype) – .
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