Tauzin Tibor
Cognitive Development Center, Central European University, Hungary; Department of Cognitive Science, Budapest University of Technology and Economics, Hungary.
Acta Psychol (Amst). 2015 Jun;158:8-18. doi: 10.1016/j.actpsy.2015.03.007. Epub 2015 Apr 8.
A stream of sensory information is organized into discrete temporal units through event segmentation. On the basis of several studies measuring participants' explicit decisions about event boundaries, some theorists suggest that this segmentation is induced by increased unpredictability. Since this approach cannot describe the segmentation of unfamiliar events, we assumed that event segmentation might be perceptually driven. We hypothesized that when a new event-relevant object is represented, it triggers event segmentation. In addition to explicit decisions, we measured memory performance, since it has previously been found to be a strong indicator of event segmentation. We presented simple videos to the participants in which geometric objects were flashing consecutively while an unpredictable change occurred. In the New Object condition flashing objects were replaced, while in the Same Object condition one non-kind-relevant feature of the objects was changed. In Experiment 1 the participants' task was to press a button when they detected a meaningful change in the stimuli. In line with the predictability-based theories, we found that both changes triggered the detection of an event boundary. To contrast our hypothesis with the predictions of earlier theories, in Experiments 2 and 3 memory accuracy was measured using the stimuli of Experiment 1. We only found a significant change in memory accuracy in the New Object condition, which suggests that the appearance of an event-relevant object can induce segmentation on its own, and indicates that the explicit-decisions methodology might lead to the improper conclusion that event segmentation is solely based on predictability.
通过事件分割,一股感官信息流被组织成离散的时间单元。基于几项测量参与者对事件边界的明确判断的研究,一些理论家认为这种分割是由不可预测性增加所引发的。由于这种方法无法描述不熟悉事件的分割,我们假设事件分割可能是由感知驱动的。我们假设当一个与新事件相关的物体被呈现时,它会触发事件分割。除了明确判断之外,我们还测量了记忆表现,因为之前已经发现它是事件分割的一个有力指标。我们向参与者展示了简单的视频,其中几何物体连续闪烁,同时发生了不可预测的变化。在“新物体”条件下,闪烁的物体被替换,而在“相同物体”条件下,物体的一个与种类无关的特征发生了变化。在实验1中,参与者的任务是在检测到刺激中有意义的变化时按下按钮。与基于可预测性的理论一致,我们发现两种变化都触发了对事件边界的检测。为了将我们的假设与早期理论的预测进行对比,在实验2和3中,我们使用实验1的刺激来测量记忆准确性。我们只在“新物体”条件下发现记忆准确性有显著变化,这表明与事件相关的物体的出现本身就可以引发分割,并表明明确判断方法可能会导致错误的结论,即事件分割仅仅基于可预测性。