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首页> 外文期刊>Journal of vision >Eye Movement Patterns Suggest Different Facial Features are Most Informative at Different Spatial Frequencies
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Eye Movement Patterns Suggest Different Facial Features are Most Informative at Different Spatial Frequencies

机译:眼动模式表明,在不同的空间频率下,不同的面部特征最能提供信息

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While many studies have shown that a middle band of spatial frequencies (SF) is most useful for face recognition, others have pointed out that the most informative SF ranges vary depending on location on the face. In two experiments, we examined variations in the utility of different SFs across the face by measuring eye movements during an oldew recognition task using spatially filtered faces. Eye movements were recorded using the Eyelink II (SR-Research.com). In Experiment 1, we measured 32 subjects' eye movements during the learning phase of the oldew task; In Experiment 2 we examined 15 subjects' eye movements during the retrieval phase of the same task. Stimuli were 32 faces filtered to preserve 11 SF bands across the spectrum (bandwidth 2 octaves), plus an unfiltered baseline condition. Twelve areas of interest (AOIs) were defined for each face, and total fixation time was analyzed across AOI and SF. Results show that low SFs elicited more fixations on medial AOIs such as nose, forehead and chin. This may indicate a tendency towards holistic processing, whereby fixation on these features represents an attempt to take in the entire face. In contrast, high SFs elicited more fixations on inner features, such as eyes and mouth, suggesting greater featural processing. Analysis of gaze transitions across AOIs show that fixation patterns vary across SF. Specifically, subjects transition more between the inner features, and exhibit more transitions in general, when examining high SF faces. When looking at low SF faces, transitions tend to be few, and to stay within medial features such as nose, nasion and forehead. Our results are compatible with previous work suggesting that the useful SFs vary by face part. We also find evidence suggesting that low and high SFs respectively support holistic and featural processing.
机译:虽然许多研究表明,空间频率(SF)的中带对面部识别最有用,但其他研究指出,最有帮助的SF范围会根据面部位置而变化。在两个实验中,我们通过使用空间过滤后的脸部来测量新旧识别任务期间的眼睛运动,从而检查了整个脸部不同SF的效用变化。使用Eyelink II(SR-Research.com)记录眼动。在实验1中,我们测量了新旧任务学习阶段32位受试者的眼球运动;在实验2中,我们检查了在同一任务的检索阶段中15位受试者的眼球运动。刺激是经过过滤的32张脸,以在整个频谱上保留11个SF波段(带宽2个八度音阶),以及未过滤的基线条件。为每张脸定义了十二个感兴趣的区域(AOI),并分析了整个AOI和SF的固定时间。结果表明,低SFs在内侧AOI(例如鼻子,前额和下巴)上引起更多的固定。这可能表明有进行整体处理的趋势,由此对这些特征的固定表示尝试将整个面部都拿下。相比之下,高SF在内部特征(如眼睛和嘴巴)上引起了更多的注视,暗示着更多的胎儿加工。跨AOI的注视转换分析表明,固定模式在SF中有所不同。具体来说,当检查高SF脸部时,对象在内部特征之间的过渡更多,并且通常表现出更多的过渡。当查看低SF脸部时,过渡往往很少,并且停留在诸如鼻子,鼻梁和前额之类的内部特征之内。我们的结果与以前的研究结果一致,表明有用的SF因面部不同而有所差异。我们还发现证据表明,低和高SF分别支持整体处理和特征处理。

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