naa a22 4500 510777368 CHVBK 20180411083235.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.3758/s13428-012-0249-2 doi (NATIONALLICENCE)springer-10.3758/s13428-012-0249-2 Frame-differencing methods for measuring bodily synchrony in conversation [Elektronische Daten] [Alexandra Paxton, Rick Dale] The study of interpersonal synchrony examines how interacting individuals grow to have similar behavior, cognition, and emotion in time. Many of the established methods of analyzing interpersonal synchrony are costly and time-consuming; the study of bodily synchrony has been especially laborious, traditionally requiring researchers to hand-code movement frame by frame. Because of this, researchers have been searching for more efficient alternatives for decades. Recently, some researchers (e.g., Nagaoka & Komori (IEICE Transactions on Information and Systems, 91(6), 1634-1640, 2008); Ramseyer & Tschacher, 2008) have applied computer science and computer vision techniques to create frame-differencing methods (FDMs) to simplify analyses. In this article, we provide a detailed presentation of one such FDM, created by modifying and adding to existing FDMs. The FDM that we present requires little programming experience or specialized equipment: Only a few lines of MATLAB code are required to execute an automated analysis of interpersonal synchrony. We provide sample code and demonstrate its use with an analysis of brief, friendly conversations; using linear mixed-effects models, the measure of interpersonal synchrony was found to be significantly predicted by time lag (p < .001) and by the interaction between time lag and measures of interpersonal liking (p < .001). This pattern of results fits with existing literature on synchrony. We discuss the current limitations and future directions for FDMs, including their use as part of a larger methodology for capturing and analyzing multimodal interaction. Psychonomic Society, Inc., 2012 Synchrony nationallicence Movement nationallicence Liking nationallicence Alignment nationallicence Frame-differencing methods nationallicence Image processing nationallicence MATLAB nationallicence Paxton Alexandra Cognitive and Information Sciences, School of Social Sciences, Humanities, and Arts, University of California, Merced, 95343, Merced, CA, USA aut Dale Rick Cognitive and Information Sciences, School of Social Sciences, Humanities, and Arts, University of California, Merced, 95343, Merced, CA, USA aut Behavior Research Methods Springer-Verlag 45/2(2013-06-01), 329-343 45:2<329 2013 45 13428 https://doi.org/10.3758/s13428-012-0249-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3758/s13428-012-0249-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Paxton Alexandra Cognitive and Information Sciences, School of Social Sciences, Humanities, and Arts, University of California, Merced, 95343, Merced, CA, USA aut NATIONALLICENCE 700 1- Dale Rick Cognitive and Information Sciences, School of Social Sciences, Humanities, and Arts, University of California, Merced, 95343, Merced, CA, USA aut NATIONALLICENCE 773 0- Behavior Research Methods Springer-Verlag 45/2(2013-06-01), 329-343 45:2<329 2013 45 13428 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer