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: Study Protocol. A total of 35 subjects participated in the study, divided into two groups (within-subjects design). One group attended the videoconference lecture first and then the face-to-face lecture a week later, while the other group did the opposite. The protocol included a greeting session with instrument setup, task instructions and self-report items, an oddball paradigm before and after the lecture, and the lecture itself. Participants were asked to complete the Brief Mood Introspection Scale (BMIS) questionnaire before and after the lecture and the Zoom Exhaustion and Fatigue (ZEF) after the lecture (ZEF adjusted in the face-to-face condition). Moreover, a performance check with three questions was included to secure participants’ engagement.

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) – .

Techniques:

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) – .

Techniques:

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 Theta frontal /Beta frontal ratio during the videoconferencing (red) and face-to-face (green) conditions (no statistically significant differences between the conditions were found over time), along with ( b ) boxplots (right panel) depicting the average over time Theta frontal / Beta frontal ratios within participants. Statistically significant differences between the conditions are denoted with asterisks (* p < 0.05). ( c ) Relationship between Theta frontal /Beta frontal and BMIS items (standardized fixed effects of BMIS item scores on Theta frontal /Beta frontal ). ( d ) Relationship between Theta frontal /Beta frontal and ZEF item scores (standardized fixed effects of ZEF items scores on Theta frontal /Beta frontal ). Red dots on the x-axis of each subplot denote statistically significant associations ( p < 0.05). Positive (negative) fixed effects indicate a positive (negative) correlation between scores and band power ratios.

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) – .

Techniques:

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: Grand-average ERP signals during a target event (i.e., faces) of the oddball paradigm before and after the videoconferencing (top panel) and the face-to-face (bottom panel) conditions. Columns represent different channels (Fz, Cz, Pz, O1, and O2 from left to right). Statistically significant ERP changes ( p < 0.05) after each condition are denoted with black dots on the x-axis of each subplot.

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) – .

Techniques:

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: Time-varying standardized fixed effects of BMIS (top panel) and ZEF (bottom panel) item scores on the ERP amplitude recorded during the oddball paradigm after the ( a ) videoconferencing (left panel) and ( b ) face-to-face conditions (right panel). A yellow color gradient indicates a positive relationship, while a blue color gradient indicates a negative relationship. Red dots denote statistically significant associations ( p < 0.05). These images describe the time-varying correlation of the ERP signal at each time point with the self-reported BMIS and ZEF item scores after the lecture controlling for the effect of the corresponding scores before the lecture.

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) – .

Techniques:

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 progression of HRV indices during the videoconferencing (red) and face-to-face conditions (green). ( b ) Boxplots of the average over time indices (within participants) for both conditions. Statistically significant differences between the conditions are denoted with asterisks (* p < 0.05, ** p < 0.01, *** p < 0.001). ( c ) Relationship between ECG features and BMIS items (standardized fixed effects of BMIS item scores on various HRV indices (i.e., HR, LF nu , HF nu , ln[LF/HF], pNN50, RMSSD, and SDRR)). (d) Relationship between ECG features and ZEF items (standardized fixed effects of ZEF item scores on HRV indices). The sign of the effect represents the directionality of the association. A yellow color gradient indicates a positive relationship, while a blue color gradient indicates a negative relationship. Red dots denote statistically significant associations ( p < 0.05). Note that each ZEF dimension contains three items as described in the (e.g., general fatigue contains three questions that have been merged to one dimension in this figure and the same applies for visual, social, motivational, and emotional fatigue).

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) – .

Techniques:

Journal: Journal of Community Health

Article Title: Coverage of the COVID-19 Pandemic in the Online Versions of Highly Circulated U.S. Daily Newspapers

doi: 10.1007/s10900-020-00913-w

Figure Lengend Snippet: COVID-19 coverage in 3 major US newspapers from January to March 2020: Major themes and examples of themes

Article Snippet: Technology, impact on work (N = 18) , “Cisco has expanded Webex’s free capabilities in all countries where the tool is available, a spokesperson said. Microsoft Corp. is making its Teams videoconferencing, chat and collaboration platform available for free over the next six months to help companies handle the uptick in remote work, a spokesperson said. Likewise, Boston-based LogMeIn Inc., which makes remote-working application GoToMeeting, is offering three-months of free services and products to health-care providers, schools and nonprofit organizations, the company said.” (WSJ, March 4th).

Techniques: Transmission Assay, Virus, Isolation, Infection, Biomarker Discovery