Fig 1.
This flowchart illustrates the methodology used to transform the raw data of each participant into individual signals or measures from which synchrony and spoken communication features are calculated.
Fig 2.
Dynamic Time Warping (DTW) is a better measure of behavioral synchrony than Euclidean distance because it is able to match similar behaviors of different duration that occur a few seconds apart.
Table 1.
Correlation matrix for study variables and descriptive statistics.
Fig 3.
Interaction effects of facial expression synchrony and video access condition on collective intelligence.
Fig 4.
Serial mediation analysis of the effect of video access on collective intelligence.
Table 2.
Summary of regression analyses for serial mediation.