From Event Models to Event Schemata: Modal and Amodal Event Representations and the Role of Meta-Cognition for Dynamic Event Comprehension

从事件模型到事件图式:模态和非模态事件表示以及元认知在动态事件理解中的作用

基本信息

项目摘要

Humans process dynamic and transient information quite effortlessly in their daily lives. For example, they integrate spatial and temporal dynamic information in road traffic or team sports and act appropriately. Event perception and cognition theories generally assume that dynamic event processing is based on a mental representation of the observation and that the continuous stream of sensory information is segmented into meaningful segments at points of change. An important consideration in current theories of event cognition is that initial sensory information is stored in schematic, abstract mental representations of the activity and that these abstract representations, in turn, guide encoding and anticipation of future states of the event. The proposed work packages will (1) study how sensory and perceptual information is abstracted to amodal event representations; (2) use methods from metacognition research to study if and how the event structure modulates modal and amodal information. Work package (3) addresses the limitation of current theories of event cognition: they focus mainly on dynamic scenes of naturalistic actions humans have often encountered, such as preparing breakfast or cleaning a room. As a result, it is difficult to describe how event cognition works without an already existing amodal representation of the action. Work package (3) thus studies how event schemata are built up and how they influence event processing.
人类在日常生活中毫不费力地处理动态和短暂的信息。例如,他们在道路交通或团队运动中整合空间和时间动态信息,并采取适当的行动。事件知觉和认知理论一般假设动态事件处理是基于对观察的心理表征,并且连续的感觉信息流在变化点被分割成有意义的片段。在当前的事件认知理论中,一个重要的考虑是,最初的感觉信息存储在活动的图式抽象心理表征中,这些抽象表征反过来指导对事件未来状态的编码和预期。所提出的工作包将(1)研究感觉和知觉信息如何被抽象为非通道事件表征;(2)使用元认知研究的方法来研究事件结构是否以及如何调节通道和非通道信息。工作包(3)解决了当前事件认知理论的局限性:它们主要关注人类经常遇到的自然行为的动态场景,例如准备早餐或打扫房间。因此,如果没有已经存在的动作的动态表征,就很难描述事件认知是如何工作的。因此,工作包(3)研究了事件图式是如何构建的,以及它们如何影响事件处理。

项目成果

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Professor Dr. Markus Huff其他文献

Professor Dr. Markus Huff的其他文献

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{{ truncateString('Professor Dr. Markus Huff', 18)}}的其他基金

Flexible resource allocation and prediction in attentive tracking
专注跟踪中的灵活资源分配和预测
  • 批准号:
    130519209
  • 财政年份:
    2009
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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