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Perceptual and Category Processing of the Uncanny Valley Hypothesis Dimension of Human Likeness: Some Methodological Issues

机译:神奇谷假说的人像维度的感知和类别加工:一些方法论问题

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摘要

Mori's Uncanny Valley Hypothesis1,2 proposes that the perception of humanlike characters such as robots and, by extension, avatars (computer-generated characters) can evoke negative or positive affect (valence) depending on the object's degree of visual and behavioral realism along a dimension of human likeness (DHL) (>Figure 1). But studies of affective valence of subjective responses to variously realistic non-human characters have produced inconsistent findings 3, 4, 5, 6. One of a number of reasons for this is that human likeness is not perceived as the hypothesis assumes. While the DHL can be defined following Mori's description as a smooth linear change in the degree of physical humanlike similarity, subjective perception of objects along the DHL can be understood in terms of the psychological effects of categorical perception (CP) 7. Further behavioral and neuroimaging investigations of category processing and CP along the DHL and of the potential influence of the dimension's underlying category structure on affective experience are needed. This protocol therefore focuses on the DHL and allows examination of CP. Based on the protocol presented in the video as an example, issues surrounding the methodology in the protocol and the use in "uncanny" research of stimuli drawn from morph continua to represent the DHL are discussed in the article that accompanies the video. The use of neuroimaging and morph stimuli to represent the DHL in order to disentangle brain regions neurally responsive to physical human-like similarity from those responsive to category change and category processing is briefly illustrated.
机译:森的《神秘谷假说》 1,2 提出,对诸如机器人之类的人类角色以及化身(由计算机生成的角色)的感知可以根据对象的程度而引起负面或正面影响(效价)视觉和行为现实主义沿人类相似度(DHL)的维度(>图1 )。但是,对各种现实的非人类角色的主观反应的情感效价的研究结果却不一致, 3、4、5、6 。造成这种情况的许多原因之一是,假设不像假设那样感知人的相似性。虽然可以根据Mori的描述将DHL定义为人与自然相似程度的平滑线性变化,但可以通过分类感知(CP) 7 的心理影响来理解DHL沿线对象的主观感知。 sup>。需要对DHL沿类别处理和CP进行进一步的行为和神经影像研究,以及维度的基本类别结构对情感体验的潜在影响。因此,该协议专注于DHL并允许检查CP。以视频中提供的协议为例,视频中附带的文章讨论了协议中的方法论问题以及“变形”连续体代表DHL的刺激在“不可思议”研究中的应用。简要说明了使用神经影像和形态刺激来表示DHL,以便从神经上区分对人的相似性物理反应的大脑区域与对类别变化和类别处理的神经区域。

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