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类别加工与恐怖谷假说的人类似性维度:眼动追踪数据。

Category Processing and the human likeness dimension of the Uncanny Valley Hypothesis: Eye-Tracking Data.

机构信息

Department of Neuropsychology, University of Zurich Zurich, Switzerland.

出版信息

Front Psychol. 2013 Mar 7;4:108. doi: 10.3389/fpsyg.2013.00108. eCollection 2013.

Abstract

The Uncanny Valley Hypothesis (Mori, 1970) predicts that perceptual difficulty distinguishing between a humanlike object (e.g., lifelike prosthetic hand, mannequin) and its human counterpart evokes negative affect. Research has focused on affect, with inconsistent results, but little is known about how objects along the hypothesis' dimension of human likeness (DHL) are actually perceived. This study used morph continua based on human and highly realistic computer-generated (avatar) faces to represent the DHL. Total number and dwell time of fixations to facial features were recorded while participants (N = 60) judged avatar versus human category membership of the faces in a forced choice categorization task. Fixation and dwell data confirmed the face feature hierarchy (eyes, nose, and mouth in this order of importance) across the DHL. There were no further findings for fixation. A change in the relative importance of these features was found for dwell time, with greater preferential processing of eyes and mouth of categorically ambiguous faces compared with unambiguous avatar faces. There were no significant differences between ambiguous and human faces. These findings applied for men and women, though women generally dwelled more on the eyes to the disadvantage of the nose. The mouth was unaffected by gender. In summary, the relative importance of facial features changed on the DHL's non-human side as a function of categorization ambiguity. This change was indicated by dwell time only, suggesting greater depth of perceptual processing of the eyes and mouth of ambiguous faces compared with these features in unambiguous avatar faces.

摘要

怪异谷假说(Mori,1970)预测,感知难以区分类人生物体(例如,逼真的假肢、人体模型)与其人类对应物会引起负面情绪。研究主要集中在情感上,但结果不一致,而对于沿着假说的人类相似性维度(DHL)的物体实际上是如何被感知的,人们知之甚少。本研究使用基于人类和高度逼真的计算机生成(化身)面孔的形态连续体来表示 DHL。当参与者(N=60)在强制分类任务中判断面孔的化身与人类类别归属时,记录了对面部特征的总注视次数和注视时间。注视和停留数据证实了面部特征层次结构(眼睛、鼻子和嘴巴,按重要性顺序排列)贯穿 DHL。对于注视,没有进一步的发现。对于停留时间,这些特征的相对重要性发生了变化,与明确的化身面孔相比,具有类别模糊的面孔对眼睛和嘴巴的偏好处理更大。在明确的化身面孔和人类面孔之间没有显著差异。这些发现适用于男性和女性,尽管女性通常更关注眼睛,这对鼻子不利。嘴巴不受性别影响。总之,面部特征的相对重要性随着分类模糊性在 DHL 的非人类侧发生变化。这一变化仅通过停留时间来指示,与明确的化身面孔相比,对模糊面孔的眼睛和嘴巴进行了更深层次的感知处理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c600/3590815/25adc042fc24/fpsyg-04-00108-g002.jpg

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