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An eye movement dependent visual attention model and its application .

机译:眼动相关视觉注意模型及其应用。

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摘要

In this dissertation, we study the relationship between eye movements and visual attention. Different types of eye movements are investigated including microsaccades, eye fixation, and eye pursuit. First, we demonstrate that microsaccades occur during pursuit and they are linked to covert attention shifts. Employing a psychophysical task that involves covert attention shifts to a peripheral square, we detect if microsaccades occur during eye pursuit, and, if so, whether, and in what way, microsaccades are related to attention shifts. Microsaccades are found to occur during pursuit and they present in similar patterns as those occurring during eye fixation. We discover that microsaccades tend to be biased towards the same direction as pursuit and the bias increases with increases of pursuit velocities. Through the analysis of microsaccade orientation and latency, we argue that microsaccades occurring during pursuit, rather than being randomly distributed, have a link with covert attention shifts. This is consistent with what has been reported for microsaccades occurring during fixation. Further analysis of microsaccade amplitude supports this argument. The potential attention mechanisms for the characteristics of microsaccades are discussed. We suggest that the attention allocation during pursuit is responsible for the characteristics of microsaccades. Our analyses of microsaccades also enforce the argument that microsaccades may be the suppressed saccades.;In addition to microsaccades, the attention allocation during eye fixation and eye pursuit are considered as well. We demonstrate that, during eye fixation, the local image content around the area of a fixation point is a significant factor to influence the fixation duration. However, during pursuit, the pursuit direction, rather than image contents, is important to decide attention allocation. According to these results, a top-down attention model based on types of eye movements is built. Three types of eye movements are considered separately in the model. They are eye fixation, eye pursuit, and saccadic eye movements (including microsaccades). The model is applied to the design of an interactive 2D video game. We demonstrate that the game is successfully designed in different difficulty levels through the analysis of attention allocation by our attention model. Our results imply that the attention modeling can be used to alter the game play so as to provide varying difficulty levels and it is also promising to take advantage of eye tracking data for broader applications, such as for navigation, intelligent map searching, augmented reality, and others.
机译:本文研究了眼球运动与视觉注意力之间的关系。研究了不同类型的眼球运动,包括微扫视,眼球注视和眼球追踪。首先,我们证明微扫视发生在追赶过程中,并且它们与秘密注意力转移有关。使用涉及隐秘的注意力转移到周围正方形的心理物理任务,我们可以检测在追视过程中是否发生微扫视,如果是,则检测微扫视是否以及以何种方式与注意力转移相关。发现微扫视发生在追赶过程中,并且它们的形态与注视时发生的形态相似。我们发现微扫视倾向于朝着与追赶相同的方向偏移,并且随着追赶速度的增加,这种偏见也随之增加。通过对微扫视的方向和潜伏期的分析,我们认为在追赶过程中发生的微扫视而不是随机分布,与隐秘的注意力转移有联系。这与固定期间发生的微扫视的报道一致。对微扫视振幅的进一步分析支持这一论点。讨论了微扫视特征的潜在注意机制。我们建议,在追求过程中的注意力分配是造成微扫视特征的原因。我们对微扫视的分析也提出了这样的论点,即微扫视可能是抑制的扫视。除了微扫视之外,还考虑了注视和注视过程中的注意力分配。我们证明,在眼睛注视过程中,注视点周围区域的局部图像内容是影响注视持续时间的重要因素。但是,在追踪过程中,追踪方向而不是图像内容对于决定注意力分配很重要。根据这些结果,建立了基于眼睛运动类型的自上而下的注意力模型。模型中分别考虑了三种类型的眼睛运动。它们是眼睛注视,眼睛追逐和眼球跳动(包括微扫视)。该模型应用于交互式2D视频游戏的设计。通过我们的注意力模型对注意力分配的分析,我们证明了该游戏是在不同难度级别成功设计的。我们的结果表明,注意力建模可用于更改游戏玩法,以提供不同的难度级别,并且还有望将眼动跟踪数据用于更广泛的应用,例如导航,智能地图搜索,增强现实,和别的。

著录项

  • 作者

    Jie, Li.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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