Perspective-taking ability is crucial for supporting social interactions. It has been widely suggested that the calculation of an individual’s perspective is spontaneous. Nevertheless, people typically engage with more than one individual, and computing what individuals in a crowd see is important. The current study explored whether people spontaneously compute the perspectives of individuals displayed in a crowd. The classic visual perspective-taking task was adopted, but the picture of the room was presented with four human avatars facing two walls. The results showed that if the crowd of individuals was treated as a high entitative group, when none of the perspectives of the individuals contained the same number of discs as that from the perspective of the participant, the judgment of the participant’s perspective was slower than when a proportion of the perspectives of the individuals displayed in the crowd were consistent with the participant’s perspective, even if the perspectives of the multiple individuals in a crowd were not explicitly noticed. This altercentric intrusion effect was not present when the crowd had low entitativity. These findings were replicated by using different methods to operationalize group entitativity. Hence, this study demonstrates that spontaneously tracking the perspectives of individuals displayed in a crowd has a boundary condition and that people can spontaneously compute what individuals in high entitative groups see.

观点捕捉能力对于支持社交互动至关重要。广泛认为，个人观点的计算是自发的。尽管如此，人们通常会与一个以上的人互动，因此计算人群中每个人看到的内容很重要。当前的研究探讨了人们是否自发计算人群中所显示的个人的观点。采取了经典的视觉透视拍摄任务，但房间的照片呈现为面向两个墙壁的四个人像。结果表明，如果将一群人视为一个高素质的群体，那么当从参与者的角度来看，当他们的视盘中没有一个包含相同数量的光盘时，即使没有明确注意到人群中多个人的观点，参与者的观点的判断也比当人群中所显示的个体的观点的一部分与参与者的观点一致时慢。当人群的热情低下时，就不会出现这种偏心侵入效应。通过使用不同的方法来操作组的可重复性来复制这些发现。因此，这项研究表明，自发地跟踪人群中所显示的个人的观点具有边界条件，并且人们可以自发地计算出高积极性群体中的个人所看到的内容。即使没有明确注意到人群中多个人的观点。当人群的热情低下时，就不会出现这种偏心侵入效应。通过使用不同的方法来操作组的可重复性来复制这些发现。因此，这项研究表明，自发地跟踪人群中所显示的个人的观点具有边界条件，并且人们可以自发地计算出高积极性群体中的个人所看到的内容。即使没有明确注意到人群中多个人的观点。当人群的热情低下时，就不会出现这种偏心侵入效应。通过使用不同的方法来操作组的可重复性来复制这些发现。因此，这项研究表明，自发地跟踪人群中所显示的个人的观点具有边界条件，并且人们可以自发地计算出高积极性群体中的个人所看到的内容。