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Inference-driven Mechanisms of Attentional Orienting

机译:引起引起的注意力定位机制

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摘要

In this paper we present some empirical data in support of a new view of attentional orienting, according to which (a) some basic mechanisms of attentional deployment (i.e. its high efficiency in dealing with expected and unexpected inputs) meet the requirements of the inferential system, and have possibly evolved to support its functioning; and (b) these orienting mechanisms function in very similar ways in different domains, i.e. in perceptual tasks and in symbolic tasks. After sketching the basics of the model and of its specific predictions, we report the results of 3 behavioral experiments where participants tracked visual trajectories (Experiments 1 and 3) or arithmetic series (Experiments 2 arid 3), responding to the onset of a target event (e.g., to a specific number) and to the repetition of an event (e.g., a number appearing twice consecutively). Target events could be anticipated when they were embedded in regular series/trajectories; they could be anticipated, with the anticipation later disconfirmed, when a regular series/trajectory was abruptly interrupted before the target event occurred; and could not be anticipated when the series/trajectory was random. Repeated events could not be anticipated. Results show a very similar pattern of allocation in tracking visual trajectories and arithmetic series: attention is focused on anticipated events, it is defocused and redistributed when an anticipation is not confirmed by ensuing events, while performance decreases when dealing with random series/trajectory, i.e. in absence of anticipations. The behavioral results were later supported by an electrophysiological investigation using Event Related Potentials. In our view, this pattern of allocation of attention is due to the fact that confirmed and discontinued anticipations are crucial events for knowledge revision, i.e. the fine tuning of the inferential system to the environment; attentional mechanisms have developed so as to enhance detection of these events, possibly at all levels of inferential processing.
机译:在本文中,我们提出了一些经验数据,以支持注意事件的新视图,根据该潜视的新视图,根据该主题的新观点(a)注意力部署的一些基本机制(即其在处理预期和意外投入的高效率)符合推理系统的要求,并且可能发展以支持其运作; (b)这些定向机制以非常相似的方式在不同的域中的方式函数,即在感知任务和象征性任务中。在速写模型的基础和特定预测后,我们报告了3个行为实验的结果,参与者跟踪了视觉轨迹(实验1和3)或算术序列(实验2干旱3),响应目标事件的开始响应(例如,特定数字)和事件的重复(例如,连续出现两次的数字)。当他们嵌入常规系列/轨迹时,可以预期目标事件;他们可以预期,预期后来稍后发现,当常规系列/轨迹发生在目标事件发生之前突然打断;当系列/轨迹随机时,无法预期。无法预期重复的事件。结果在跟踪视觉轨迹和算术系列表现出非常相似的分配模式:注意力集中在令人期待的事件,它是由随后的事件散焦和重新分配时的预期没有被确认,而随机系列/轨迹,即打交道时性能下降没有预料。后来通过使用事件相关电位的电生理调查来支持行为结果。在我们看来,这种关注的分配模式是由于证实和已停止的预期是知识修订的关键事件,即对环境的缩写系统的微调;提出了注意力机制,以增强这些事件的检测,可能在所有级别的推理处理中。

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