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Using Visual Change Detection to Examine the Functional Architecture of Visual Short-Term Memory

机译:使用视觉变化检测来检查视觉短期记忆的功能架构

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摘要

A common problem in vision research is explaining how humans perceive a coherent, detailed and stable world despite the fact that the eyes make constant, jumpy movements and the fact that only a small part of the visual field can be resolved in detail at any one time. This is essentially a problem of integration over time - how successive views of the visual world can be used to create the impression of a continuous and stable environment. A common way of studying this problem is to use complete visual scenes as stimuli and present a changed scene after a disruption such as an eye movement or a blank screen. It is found in these studies that observers have great difficulty detecting changes made during a disruption, even though these changes are immediately and easily detectable when the disruption is removed. These results have highlighted the importance of motion cues in tracking changes to the environment, but also reveal the limited nature of the internal representation. Change blindness studies are interesting as demonstrations but can be difficult to interpret as they are usually applied to complex, naturalistic scenes. More traditional studies of scene analysis, such as visual search, are more abstract in their formulation, but offer more controlled stimulus conditions. In a typical visual search task, observers are presented with an array of objects against a uniform background and are required to report on the presence or absence of a target object that is differentiable from the other objects in some way. More recently, scene analysis has been investigated by combining change blindness and visual search in the `visual search for changeu27 paradigm, in which observers must search for a target object defined by a change over two presentations of the set of objects. The experiments of this thesis investigate change blindness using the visual search for change paradigm, but also use principles of design from psychophysical experiments, dealing with detection and discrimination of basic visual qualities such as colour, speed, size, orientation and spatial frequency. This allows the experiments to precisely examine the role of these different features in the change blindness process. More specifically, the experiments are designed to look at the capacity of visual short-term memory for different visual features, by examining the retention of this information across the temporal gaps in the change blindness experiments. The nature and fidelity of representations in visual short-term memory is also investigated by manipulating (i) the manner in which featural information is distributed across space and objects, (ii) the time for which the information is available, (iii) the manner in which observers must respond to that information. Results point to a model in which humans analyse objects in a scene at the level of features/attributes rather than at a pictorial/object level. Results also point to the fact that the working representations which humans retain during visual exploration are similarly feature- rather than object-based. In conclusion the thesis proposes a model of scene analysis in which attention and vSTM capacity limits are used to explain the results from a more information theoretic standpoint.
机译:视觉研究中的一个普遍问题是,尽管眼睛不断地跳动,并且在任何时候都只能细微地分辨出视野的一部分,但人类如何感知一个连贯,细致而稳定的世界。从本质上讲,这是随着时间的推移而出现的集成问题-如何使用视觉世界的连续视图来营造连续稳定的环境印象。研究此问题的常用方法是使用完整的视觉场景作为刺激,并在发生干扰(例如眼球运动或黑屏)后显示变化的场景。在这些研究中发现,观察者很难检测出中断期间所做的更改,即使移除中断后可以立即轻松地检测到这些更改。这些结果突出了运动提示在跟踪环境变化中的重要性,但同时也揭示了内部表示的局限性。变化盲目研究作为演示很有趣,但由于通常应用于复杂的自然主义场景,因此难以解释。场景分析的更多传统研究(例如视觉搜索)在其表述上更为抽象,但提供了更多可控制的刺激条件。在典型的视觉搜索任务中,向观察者提供统一背景下的对象阵列,要求观察者报告是否存在以某种方式可与其他对象区分开的目标对象。最近,已经通过在“视觉搜索变化”范式中将变化盲目性和视觉搜索相结合来研究场景分析,其中观察者必须搜索由一组对象的两个表示的变化所定义的目标对象。本文的实验使用视觉搜索来寻找变化范例,研究变化盲目性,同时也运用心理物理实验中的设计原理,处理颜色,速度,大小,方向和空间频率等基本视觉质量的检测和辨别。这使实验可以精确地检查这些不同特征在变更盲目性过程中的作用。更具体地说,通过检查变化盲性实验中跨时间间隙的信息保留情况,将实验设计为查看针对不同视觉特征的视觉短期记忆的能力。视觉短时记忆中表示的性质和逼真度还可以通过操纵(i)将特征信息分布在空间和物体上的方式,(ii)获得信息的时间,(iii)方式来研究观察者必须对这些信息做出回应。结果指向一个模型,在该模型中,人类可以在特征/属性级别而不是图片/对象级别分析场景中的对象。结果还指出了这样一个事实,即人类在视觉探索过程中保留的工作表示具有相似的特征,而不是基于对象。总之,本文提出了一种场景分析模型,其中从更多的信息理论角度出发,使用注意力和vSTM容量限制来解释结果。

著录项

  • 作者

    Burmester Alexander;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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