首页> 外文会议>2013 Humaine Association Conference on Affective Computing and Intelligent Interaction >When Humans Become Objects: Out-Group Effects in Real and Artificial Faces
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When Humans Become Objects: Out-Group Effects in Real and Artificial Faces

机译:当人类成为物体时:真实和人造面孔的群体外效应

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Out-group members are commonly viewed as being less human than in-group members. They are denied certain human characteristics and in turn become associated with machines or automata. Specifically, out-groups are attributed less naturally and uniquely human traits, and they are also seen as being less able to experience complex emotions in comparison to the in-group. Such dissociations have been demonstrated with real human faces but in our study, we aimed to test whether similar effects generalize to their artificial versions. Caucasian participants were presented with images of male Caucasian and Indian faces. Their task was to evaluate to what extent naturally and uniquely human traits, as well as primary and secondary emotions, can be attributed to them. In line with previous research, it was found that positive naturally human traits were attributed to a greater degree to the in-group than to the out-group, applying to both real and artificial faces. Moreover, negative naturally human traits and negative primary emotions were attributed more to the out-group. This indicates a positive bias towards the in-group and subtle out-group derogation. The results extend prior research based on real human faces and show that intergroup processes emerge similarly in response to artificial faces, which may have implications for the fields of computer graphics and animation. That is, even the most realistic face recognized as belonging to an out-group member may convey less humanness than that of an in-group member.
机译:通常认为组外成员比组内成员不那么人性化。他们被剥夺了某些人类特征,进而与机器或自动机相关联。具体而言,外来群体被归因于自然特质和独特的人类特质,并且与内在群体相比,外来群体也无法体验复杂的情绪。这种分离已经在真实的人脸中得到证明,但是在我们的研究中,我们旨在测试类似的效果是否能推广到其人造模型。向白种人参与者展示了男性白种人和印度面孔的图像。他们的任务是评估在多大程度上自然和独特的人类特征以及主要和次要情感可以归因于他们。与先前的研究一致,发现积极的自然人的性状在真实和人造面部上的归属程度要高于归因于外归因素。此外,负面的自然人性特质和负面的主要情感更多地归因于外来群体。这表明朝着群体内克减和群体外克减的积极偏见。结果扩展了基于真实人脸的先前研究,并表明组间过程以类似方式出现,以响应人为面孔,这可能对计算机图形和动画领域产生影响。即,即使被认为属于团体外成员的最真实的面部也可以传达比团体内成员更少的人性。

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