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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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量化与任务相关的目光.

Kerri Walter1, Michelle Freeman2, Peter Bex2

  • 1Department of Psychology, Northeastern University, Boston, MA, USA. walter.ker@northeastern.edu.

Attention, perception & psychophysics
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概括
此摘要是机器生成的。

语义突出,而不是图像特征,引导自然场景中的眼睛运动. 任务的相关性显著影响着目光,即使是在寻找缺席的目标时,也突出了视觉探索中意义的重要性.

关键词:
眼球运动:认知性的眼球运动.自然图像统计自然图像统计视觉搜索 视觉搜索 视觉搜索

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科学领域:

  • 认知心理学 认知心理学
  • 神经科学是一个神经科学.
  • 计算机视觉 计算机视觉

背景情况:

  • 在场景探索过程中,人类的眼睛运动受到底向上的图像突出性和上向下的语义突出性的竞争理论的指导.
  • 了解这些机制对于从人工智能到人机交互等领域至关重要.

研究的目的:

  • 为了调查语义突出或图像突出是否更好地预测视觉搜索任务期间的目光.
  • 用基于语言的分析量化任务如何影响自然场景中的目光行为.
  • 检查目标相关性对搜索任务期间查看策略的影响.

主要方法:

  • 进行了两项研究,涉及人类受试者观看自然场景.
  • 研究1使用基于语言的分析来评估任务对十个场景的目光的影响.
  • 研究2检查了使用图像和语义突出在100场景中高或低相关性对象的搜索任务期间的目光预测.

主要成果:

  • 任务和场景对象标签之间的语义相似性准确地捕获了取决于任务的目光模式.
  • 图像突出成为一个较差的预测器的目光在连续固定,而语义突出仍然是一个一致的预测器.
  • 随着对象相关性下降,语义突出性下降,表明相关性调节了目光.

结论:

  • 语义突出性是任务导向场景观看期间目光的强有力的预测器.
  • 视觉搜索策略是由潜在目标与现场的语义相关性调节的,即使在没有目标的场景中.