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Avatars versus point-light faces : movement matching is better without a face

机译:头像与点光源脸部:没有脸部时运动匹配更好

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摘要

Facial movement may provide cues to identity, by supporting extraction of shape information from the face, or via idiosyncratic individual motion patterns. Although previous studies have examined whether recognition of familiar or unfamiliar faces can benefit from motion, it is rare that the two are compared directly. Furthermore, they have generally used different methods and stimuli, leading to difficulty in determining whether movement benefits familiar and unfamiliar faces to the same extent. We present two studies assessing the movement advantage in faces, by using facial point-light-displays (PLDs) or shape-averaged avatars. Experiment 1 tested the matching of famous and unfamiliar faces in a same/different task, using the same stimulus type within each pair. Matching performance was better for PLDs than for avatars, and for familiar compared to unfamiliar faces. There was a significant advantage for matching moving images compared to static images for both familiar and unfamiliar faces, although this was larger for unfamiliar faces. Experiment 2 also used a same/different task, but participants attempted to match non-degraded images of famous and unfamiliar faces to PLDs or avatars. Overall performance in Experiment 2 was lower than Experiment 1. Once again, matching performance was better for PLDs compared to avatars, and familiar compared to unfamiliar faces. A movement advantage was present for unfamiliar faces only. The performance differences between PLDs and avatars, and between Experiments 1 and 2, indicate that the benefit derived from viewing a face in motion depends on the type of information contained in stimuli and the task. Although participants are capable of generalizing between movement sequences in a matching task, it is more difficult when the format of the sequences is varied. Overall, these results suggest that movement can provide a useful cue to identity, particularly for unfamiliar faces.
机译:通过支持从面部提取形状信息或通过特有的个体运动模式,面部运动可以提供身份提示。尽管先前的研究已经检验了识别熟悉或不熟悉的面孔是否可以从运动中受益,但很少将两者直接进行比较。此外,他们通常使用不同的方法和刺激,导致难以确定运动是否在相同程度上有益于熟悉和不熟悉的面孔。我们目前进行两项研究,通过使用面部点光源显示器(PLD)或形状平均化身来评估面部运动优势。实验1测试了在相同/不同任务中,使用每对中相同的刺激类型来匹配著名面孔和陌生面孔的匹配情况。与不熟悉的面孔相比,PLD的匹配性能要好于化身。对于熟悉和不熟悉的脸部,与静态图像相比,匹配运动图像具有显着的优势,尽管对于不熟悉的脸部,匹配度更大。实验2也使用相同/不同的任务,但参与者尝试将名人和陌生面孔的未降级图像与PLD或化身进行匹配。实验2的总体性能低于实验1。与化身相比,PLD的匹配性能更好,与陌生面孔相比,匹配性能更好。仅陌生的面孔具有运动优势。 PLD和化身之间以及实验1和实验2之间的性能差异表明,从观看运动中的脸部获得的收益取决于刺激和任务中包含的信息类型。尽管参与者能够在匹配任务中概括运动序列之间的距离,但是改变序列的格式会更加困难。总体而言,这些结果表明,运动可以为身份认同提供有用的提示,尤其是对于不熟悉的面孔。

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