“…However, even under such gross approximations, the dynamic displays provided a greater degree of realism than the static displays, with strong behavioural consequences (see Figures 4,5,7,8,and 9). In fact, this method for generating dynamic emotional expressions has been successfully used in many previous behavioural studies (e.g., Becker et al, 2012;Joormann & Gotlib, 2006;Kamachi et al, 2001;Lynch et al, 2006;Marinetti, Mesquita, Yik, Cragwall, & Gallagher, 2012;Oosterhof & Todorov, 2009;Yoshikawa & Sato, 2008) and it has been shown to elicit an enhanced neural response with respect to static emotional facial expressions (Sato, Fujimura, & Suzuki, 2008;see also LaBar et al, 2003). Interestingly, Ambadar, Schooler, and Cohn (2005) measured the accuracy of emotion recognition from videorecordings that preserved the dynamic characteristics of natural facial expressions of basic emotions (''dynamic'' condition) and from frame sequences in which only the first and last frame of the original video sequences were presented (''first-last'' condition).…”