Zacks Jeffrey M, Kumar Shawn, Abrams Richard A, Mehta Ritesh
Washington University, Psychology Department, Campus Box 1125, St. Louis, MO 63130-4899, USA.
Cognition. 2009 Aug;112(2):201-16. doi: 10.1016/j.cognition.2009.03.007. Epub 2009 Jun 3.
During perception, people segment continuous activity into discrete events. They do so in part by monitoring changes in features of an ongoing activity. Characterizing these features is important for theories of event perception and may be helpful for designing information systems. The three experiments reported here asked whether the body movements of an actor predict when viewers will perceive event boundaries. Body movements were recorded using a magnetic motion tracking system and compared with viewers' segmentation of his activity into events. Changes in movement features were strongly associated with segmentation. This was more true for fine-grained than for coarse-grained boundaries, and was strengthened when the stimulus displays were reduced from live-action movies to simplified animations. These results suggest that movement variables play an important role in the process of segmenting activity into meaningful events, and that the influence of movement on segmentation depends on the availability of other information sources.
在感知过程中，人们会将连续的活动分割成离散的事件。他们部分是通过监测正在进行的活动特征的变化来做到这一点的。表征这些特征对于事件感知理论很重要，并且可能有助于设计信息系统。这里报告的三个实验探讨了演员的身体动作是否能预测观众何时会感知到事件边界。使用磁动跟踪系统记录身体动作，并将其与观众对演员活动的事件分割进行比较。动作特征的变化与分割密切相关。对于细粒度边界而言，这种相关性比粗粒度边界更强，并且当刺激显示从真人电影简化为动画时，这种相关性会增强。这些结果表明，运动变量在将活动分割成有意义事件的过程中起着重要作用，并且运动对分割的影响取决于其他信息源的可用性。
