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How Do Object Shape, Semantic Cues, and Apparent Velocity Affect the Attribution of Intentionality to Figures With Different Types of Movements?

机译:对象形状,语义线索和视表观速度如何影响用不同类型的运动的数字对有意义的归属?

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A series of experiments show that attribution of intentionality to figures depends on the interaction between the type of movement –Theory of Mind (ToM), Goal-Directed (GD), Random (R)– with the presence of human attributes, the way these figures are labeled, and their apparent velocity. In addition, the effect of these conditions or their interaction varies when the use of human nouns –present in the participant’s responses– is statistically controlled. In Experiment 1, one group of participants observed triangular figures ( n = 46) and another observed humanized figures, called Stickman figures ( n = 38). In ToM movements, participants attributed more intentionality to triangular figures than to Stickman figures. However, in R movements, the opposite trend was observed. In Experiment 2 ( n = 42), triangular figures were presented as if they were people and compared to triangular figures presented in Experiment 1. Here, when the figures were labeled as people the attribution of intentionality only increased in R and GD movements, but not in ToM movements. Finally, in Experiment 3, Stickman figures ( n = 45) move at a higher (unnatural) speed with higher frames per second (fps) than the Stickman figures of Experiment 1. This manipulation decreased the attribution of intentionality in R and GD movements but not in ToM movements. In general terms, it was found that the human attributes and labels promote the use of human nouns in participants’ responses, while a high apparent speed reduces their use. The use of human nouns was associated to intentionality scores significantly in R movements, but at a lesser extent in GD and ToM movements. We conclude that, although the type of movement is the most important cue in this sort of task, the tendency to attribute intentionality to figures is affected by the interaction between perceptual and semantic cues (figure shape, label, and apparent speed).
机译:一系列实验表明,与人物的运动类型 - 心灵(汤姆),目标导向(GD),随机(R) - 随机(r)的互动依赖于人类属性的互动图标记为标记,以及它们的表观速度。此外,当在参与者的回应中使用人名词 - 在参与者的回答中,这些条件或其相互作用的效果在统计上控制。在实验1中,一组参与者观察到三角形图(n = 46)和另一个观察到的人源化的数字,称为Stickman图(n = 38)。在汤姆运动中,参与者将更多的意向性与三角形数字归因于三角形数据而不是克斯曼数字。然而,在R运动中,观察到相反的趋势。在实验2(n = 42)中,提出了三角形图,就像他们是人一样并且与实验中所示的三角形图相比。这里,当这些数字被标记为人们的意向性归属于r和gd运动时,但不是汤姆运动。最后,在实验3中,Stickman图(n = 45)以高(非自然)速度移动,比实验1的Stickman图更高的每秒帧(FPS)移动。这种操纵在R和GD运动中降低了有趣性的归属不是汤姆运动。一般而言,发现人类属性和标签促进了参与者反应中的人类名词的使用,而高度明显的速度会降低它们的使用。人类名词的使用与在r运动中显着与有意性分数相关联,但在GD和汤姆运动中的程度较小。我们得出的结论是,虽然运动类型是这种任务中最重要的提示,但是将有趣与数字的倾向受到感知和语义线索之间的相互作用的影响(图形,标签和表观速度)。

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