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Experimental Study Toward Modeling of the Uncanny Valley Based on Eye Movements on Human/Non-human Faces

机译:基于人/非人脸的眼球运动对神仙谷建模的实验研究

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In the research field of human-agent interaction, it is a crucial issue to clarify the effect of agent appearances on human impressions. The uncanny valley is one crucial topic. We hypothesize that people can perceive a humanlike agent as human at an earlier stage in interaction even if they finally notice it as non-human and such contradictory perceptions are related to the uncanny valley. We conducted an experiment where participants were asked to judge whether faces presented on a PC monitor were human or not. The faces were a doll, a CG-modeled human image fairly similar to real human, an android robot, another image highly similar and a person. Eyes of the participants were recorded during watching the faces and changes in observing the faces were studied. The results indicate that eye data did not initially differ between the person and CG fairly similar, whereas differences emerged after several seconds. We then proposed a model of the uncanny valley based on dual pathway of emotion.
机译:在人与人互动的研究领域,弄清人的外表对人的印象的影响是至关重要的问题。不可思议的山谷是一个至关重要的话题。我们假设人们可以在互动的较早阶段就将人类般的行为者视为人类,即使他们最终发现它是非人类的,并且这种矛盾的看法与神秘谷有关。我们进行了一项实验,要求参与者判断PC监视器上显示的面孔是否为人脸。这些面孔是一个洋娃娃,一个完全类似于真实人类的CG模型人类图像,一个机器人机器人,另一个高度相似的图像和一个人。在观察面部时记录参与者的眼睛,并研究观察面部的变化。结果表明,眼睛数据最初在人和CG之间没有明显的相似,而几秒钟后出现了差异。然后,我们基于情感的双重途径提出了一个神秘谷模型。

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