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JESP:女性拥有"同性恋雷达" 恋爱当中直觉会更加精准

来源:科学网 2011-06-29 11:44

常有人讲女性拥有如同猫一般灵敏的直觉,如果一个女人告诉你她仅凭看的就能发现一个男的是否是同性恋,你可不用立刻否定她的这种说法。

据国外媒体报道,科学家称,女性确实拥有着一种“同性恋雷达”(Gaydar,是同性恋"gay"和雷达"radar"的合成词)来帮助他们仅仅是看着一个人的脸,就能感觉到对方是否同性恋的本领。并且当她们处于排卵期或是恋爱中时,这种本能的直觉最为强烈。

科学家称,女性拥有着一种“同性恋雷达”

研究表明,女性的辨别男性性取向的这种能力,和她们想要孩子的冲动有着一定的关系。在三组实验中,大约40名女异性恋志愿者观看一组80名男士的脸部照片,这80名男性的表情是相同的。研究人员发现,受访的女性志愿者们明显拥有着识别出男同性恋和异性恋的能力。但在使用女性照片的类似实验中,这些志愿者却不太能够分辨的出来。

进行此项研究的多伦多大学科学家们比较了分辨结果后发现,处于排卵期中的女性们,其“同性恋雷达”最为精确。首席研究员尼古拉斯-鲁尔(Nicholas Rule)教授说:“女性在辨别另一个女性的性取向时效果并不明显,这表明生育影响着女性感知潜在男性伴侣性取向的准确度。”

在后续的实验中,有一半的女性被要求在测试前去读一篇关于爱情的故事,以创造一个比较浪漫的形态。结果发现这些女性能够更加准确的识别男同性恋,这表明女性的直觉不止受生物钟的影响,在恋爱的状态下这种“本领”更加强大。

鲁尔教授表示,这些研究结果说明女性分辨男同性恋的准确度可能会有所不同,原因在于她们处于不同的生育周期,浪漫的心态也能够提高她们识别的准确度。(生物谷Bioon.com)

生物谷推荐原文出处:

Journal of Experimental Social Psychology   doi:10.1016/j.jesp.2009.07.010

Female sexual orientation is perceived accurately, rapidly, and automatically from the face and its features

Nicholas O. Rule, Nalini Ambady and Katherine C. Hallett

Whereas previous work has shown that male sexual orientation can be accurately and rapidly perceived from the human face and its individual features, no study has examined the judgment of female sexual orientation. To fill this gap, the current work examined the accuracy, speed, and automaticity of judgments of female sexual orientation from the face and from facial features. Study 1 showed that female sexual orientation could be accurately judged from the face and from just eyes without brows and limited to the outer canthi. Study 2 then examined the speed and efficiency of these judgments, showing that judgments of the faces following very brief, near subliminal (40 ms) exposures were significantly better than chance guessing. Finally, Study 3 tested the automaticity of judgments of female sexual orientation by examining the effects of deliberation on accuracy. Participants who made snap judgments of female sexual orientation were significantly more accurate than participants who made thoughtful and deliberated judgments. These data therefore evidence a robust, reliable, and automatic capacity for extracting information about female sexual orientation from nonverbal cues in the face.

 

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