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Women's preferences for facial structure vary over the menstrual cycle. Little is known, however, as to how preferences for behavior may be influenced by hormonal factors. Here, we demonstrate that social properties of facial motion influence attractiveness judgments in the absence of other cues, and that women's preferences for these displays vary over the menstrual cycle, as has been demonstrated for structural traits of men's faces in static stimuli. We produced shape-standardized facial models that were animated with male movement and assessed for flirtatiousness by 16 women and attractiveness by 47 women. In fertile phases of the menstrual cycle, women showed stronger preferences for flirtatious movement, but not for absolute movement. These data show that women (1) recognize specific mating-relevant social cues in male facial movement and (2) are differentially influenced by these cues at different phases of the menstrual cycle. This preference for flirtatiousness may promote the adaptive allocation of mating effort towards men who are, in turn, likely to respond positively.

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This paper presents a novel technique for the generation of 'video textures' to display human emotion. This is achieved by a method which uses existing video footage to synthesise new sequences of coherent facial expression and head motions.An 'expression space' which is defined by sets of emotion models is constructed using principal components analysis (PCA) and the application of an auto-regressive process (ARP). Using this expression space a tool has been developed which enables this space to be navigated, and to view new video sequences generated from it. This tool provides an intuitive interface, which allows a nonspecialist user easy traversal of the highly dimensional expression space and enables them to select an emotion and automatically generate new facial expression sequences.