Learning influences the encoding of static and dynamic faces and their recognition across different spatial frequencies
Learning influences the encoding of static and dynamic faces and their recognition across different spatial frequencies
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DOI：
10.1080/13506280802340588
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发表时间：
2009-01-01
期刊：
影响因子：
2
通讯作者：
Vuong, Quoc C.
中科院分区：
文献类型：
--
作者：
Pilz, Karin S.;Buelthoff, Heinrich H.;Vuong, Quoc C.
关于人脸识别的研究表明，观察者在识别从动态序列学习的人脸方面比从静态快照学习的人脸识别更快、更准确。在这里，我们调查了不同的学习过程是否在不同的空间频率上调节了动态面孔的优势。观察者学习了两个方面，一个是动态的，一个是静态的，要么是深入的(实验1)，要么是使用更肤浅的学习程序(实验2)。他们必须在随后的视觉搜索任务中搜索目标人脸。我们在视觉搜索过程中使用了高空间频率(HSF)和低空间频率(LSF)过滤的静态人脸，以考察动态和静态学习的人脸的行为差异是否基于不同视觉信息的编码。这种编码差异可以中介不同空间频率中的目标面部的识别，因为HSF可以中介特征面部处理，而LSF中介配置处理。我们的结果表明，学习过程的性质改变了观察者对动态和静态面孔的编码方式，以及他们如何识别不同空间频率上的学习面孔。也就是说，这些结果表明空间频率的灵活使用与识别任务相适应。
Studies on face recognition have shown that observers are faster and more accurate at recognizing faces learned from dynamic sequences than those learned from static snapshots. Here, we investigated whether different learning procedures mediate the advantage for dynamic faces across different spatial frequencies. Observers learned two facesone dynamic and one staticeither in depth (Experiment 1) or using a more superficial learning procedure (Experiment 2). They had to search for the target faces in a subsequent visual search task. We used high-spatial frequency (HSF) and low-spatial frequency (LSF) filtered static faces during visual search to investigate whether the behavioural difference is based on encoding of different visual information for dynamically and statically learned faces. Such encoding differences may mediate the recognition of target faces in different spatial frequencies, as HSF may mediate featural face processing whereas LSF mediates configural processing. Our results show that the nature of the learning procedure alters how observers encode dynamic and static faces, and how they recognize those learned faces across different spatial frequencies. That is, these results point to a flexible usage of spatial frequencies tuned to the recognition task.