Bennetts Rachel J, Kim Jeesun, Burke Darren, Brooks Kevin R, Lucey Simon, Saragih Jason, Robbins Rachel A
The MARCS Institute, University of Western Sydney, Locked Bag 1797 Penrith, NSW 2751, Australia.
School of Psychology, University of Newcastle, Science Offices, 10 Chittaway Road, Ourimbah, NSW 2258, Australia.
Perception. 2013;42(9):950-70. doi: 10.1068/p7446.
Facial movement may provide cues to identity, by supporting the extraction of face shape information via structure-from-motion, or via characteristic patterns of movement. Currently, it is unclear whether familiar and unfamiliar faces derive the same benefit from these mechanisms. This study examined the movement advantage by asking participants to match moving and static images of famous and unfamiliar faces to facial point-light displays (PLDs) or shape-normalised avatars in a same/different task (experiment 1). In experiment 2 we also used a same/different task, but participants matched from PLD to PLD or from avatar to avatar. In both experiments, unfamiliar face matching was more accurate for PLDs than for avatars, but there was no effect of stimulus type on famous faces. In experiment 1, there was no movement advantage, but in experiment 2, there was a significant movement advantage for famous and unfamiliar faces. There was no evidence that familiarity increased the movement advantage. For unfamiliar faces, results suggest that participants were relying on characteristic movement patterns to match the faces, and did not derive any extra benefit from the structure-from-motion cues in the PLDs. The results indicate that participants may use static and movement-based cues in a flexible manner when matching famous and unfamiliar faces.
面部运动可能通过支持从运动结构中提取面部形状信息或通过特征运动模式来提供身份线索。目前尚不清楚熟悉和不熟悉的面孔是否从这些机制中获得相同的益处。本研究通过要求参与者在相同/不同任务中（实验1）将著名和不熟悉面孔的动态和静态图像与面部点光显示（PLD）或形状归一化的虚拟形象进行匹配，来检验运动优势。在实验2中，我们也使用了相同/不同任务，但参与者是从PLD到PLD或从虚拟形象到虚拟形象进行匹配。在两个实验中，不熟悉面孔与PLD匹配比与虚拟形象匹配更准确，但刺激类型对著名面孔没有影响。在实验1中，没有运动优势，但在实验2中，著名和不熟悉面孔都有显著的运动优势。没有证据表明熟悉度会增加运动优势。对于不熟悉的面孔，结果表明参与者依靠特征运动模式来匹配面孔，并没有从PLD中的运动结构线索中获得任何额外益处。结果表明，参与者在匹配著名和不熟悉面孔时可能会灵活使用基于静态和运动的线索。
