Diel Alexander, Sato Wataru, Hsu Chun-Ting, Minato Takashi
Guardian Robot Project, RIKEN, Kyoto, Japan.
Cardiff University School of Psychology, Cardiff University, Cardiff, United Kingdom.
Front Psychol. 2023 Aug 29;14:1222279. doi: 10.3389/fpsyg.2023.1222279. eCollection 2023.
The uncanny valley describes the typically nonlinear relation between the esthetic appeal of artificial entities and their human likeness. The effect has been attributed to specialized (configural) processing that increases sensitivity to deviations from human norms. We investigate this effect in computer-generated, humanlike android and human faces using dynamic facial expressions. Angry and happy expressions with varying degrees of synchrony were presented upright and inverted and rated on their eeriness, strangeness, and human likeness. A sigmoidal function of human likeness and uncanniness ("uncanny slope") was found for upright expressions and a linear relation for inverted faces. While the function is not indicative of an uncanny valley, the results support the view that configural processing moderates the effect of human likeness on uncanniness and extend its role to dynamic facial expressions.
恐怖谷描述了人造实体的审美吸引力与其类人性之间典型的非线性关系。这种效应被归因于专门的(构型)处理,这种处理会增加对偏离人类规范的敏感度。我们使用动态面部表情,在计算机生成的类人机器人和人类面孔中研究这种效应。呈现不同同步程度的愤怒和快乐表情,表情有正立和倒置两种,并对其怪异程度、奇特程度和类人性进行评分。对于正立表情,发现了类人性与恐怖感的S形函数(“恐怖斜率”),而对于倒置面孔则发现了线性关系。虽然该函数并不表明存在恐怖谷,但结果支持这样一种观点,即构型处理会调节类人性对恐怖感的影响,并将其作用扩展到动态面部表情。