What surprises the Mona Lisa? The relative importance of the eyes and eyebrows for detecting surprise in briefly presented face stimuli

IF 1.5 4区 心理学 Q4 NEUROSCIENCES Vision Research Pub Date : 2023-10-01 DOI:10.1016/j.visres.2023.108275
Emil Skog , C. Stella Qian , Anisha Parmar, Andrew J. Schofield
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Abstract

The classification image (CI) technique has been used to derive templates for judgements of facial emotion and reveal which facial features inform specific emotional judgements. For example, this method has been used to show that detecting an up- or down-turned mouth is a primary strategy for discriminating happy versus sad expressions. We explored the detection of surprise using CIs, expecting widened eyes, raised eyebrows, and open mouths to be dominant features. We briefly presented a photograph of a female face with a neutral expression embedded in random visual noise, which modulated the appearance of the face on a trial-by-trial basis. In separate sessions, we showed this face with or without eyebrows to test the importance of the raised eyebrow element of surprise. Noise samples were aggregated into CIs based on participant responses. Results show that the eye-region was most informative for detecting surprise. Unless attention was specifically directed to the mouth, we found no effects in the mouth region. The eye effect was stronger when the eyebrows were absent, but the eyebrow region was not itself informative and people did not infer eyebrows when they were missing. A follow-up study was conducted in which participants rated the emotional valence of the neutral images combined with their associated CIs. This verified that CIs for ‘surprise’ convey surprised expressions, while also showing that CIs for ‘not surprise’ convey disgust. We conclude that the eye-region is important for the detection of surprise.

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是什么让蒙娜丽莎感到惊讶?眼睛和眉毛在短暂呈现的面部刺激中检测惊讶的相对重要性
分类图像(CI)技术已被用于推导用于判断面部情绪的模板,并揭示哪些面部特征为特定的情绪判断提供信息。例如,这种方法已经被用来证明,检测上翘或下翘的嘴是区分快乐和悲伤表情的主要策略。我们探索了使用CI检测惊喜,预计睁大眼睛、扬起眉毛和张开嘴巴是主要特征。我们简要展示了一张女性面部的照片,照片中的女性面部表情中性,嵌入了随机的视觉噪音中,这在逐个试验的基础上调节了面部的外观。在单独的研究中,我们展示了这张有眉毛或没有眉毛的脸,以测试惊讶的眉毛元素的重要性。噪声样本根据参与者的响应聚合为CI。结果表明,眼睛区域在检测惊喜方面信息量最大。除非特别注意口腔,否则我们在口腔区域没有发现任何影响。当眉毛缺失时,眼睛效应更强,但眉毛区域本身并没有信息,人们也不会在眉毛缺失时推断出眉毛。进行了一项后续研究,参与者对中性图像的情感效价及其相关CI进行了评分。这验证了“惊讶”的CI传达出惊讶的表情,同时也表明“不惊讶”的Cl传达出厌恶。我们得出的结论是,眼睛区域对于惊讶的检测很重要。
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来源期刊
Vision Research
Vision Research 医学-神经科学
CiteScore
3.70
自引率
16.70%
发文量
111
审稿时长
66 days
期刊介绍: Vision Research is a journal devoted to the functional aspects of human, vertebrate and invertebrate vision and publishes experimental and observational studies, reviews, and theoretical and computational analyses. Vision Research also publishes clinical studies relevant to normal visual function and basic research relevant to visual dysfunction or its clinical investigation. Functional aspects of vision is interpreted broadly, ranging from molecular and cellular function to perception and behavior. Detailed descriptions are encouraged but enough introductory background should be included for non-specialists. Theoretical and computational papers should give a sense of order to the facts or point to new verifiable observations. Papers dealing with questions in the history of vision science should stress the development of ideas in the field.
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