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中文摘要
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描述(由申请人提供):考虑查看骨骼扫描或CT以确定患者是否对癌症治疗有反应。或者,作为一个不那么生死攸关的案例,考虑在孩子的玩具盒中寻找所有可以用来为今天的项目搭建屋顶的乐高积木。这些是复杂的、扩展的视觉搜索,以寻找多种目标类型的多个实例,无论是癌症转移还是特定形状的积木。人类如何执行这样的任务?我们如何帮助专家更有效地执行我们的文明在诊所、机场和其他地方创造的关键的扩展搜索任务?在过去的25多年里,人们在理解视觉选择性注意的基本过程方面取得了很大的进步。尽管如此,现有的大部分工作都涉及对单一类别目标的单一实例(例如,找到一条红色垂直线或这个特定对象)的简短片段(秒)搜索。通常,这一目标将出现在50%或更多的试验中。为了理解和改进放射学和其他领域中重要的社会搜索任务,我们必须研究扩展的视觉搜索任务。这项拟议的工作利用了三种扩展的搜索范式,这在很大程度上是人类搜索研究的新领域。觅食任务是在实验室里类似于在田里采摘浆果或在胸部CT中采集肺结节。观察者试图在固定的时间段内选择尽可能多的目标物品。为了模拟这种行为,引导式搜索(GS)模型增加了动物觅食以及决策理论和神经经济学的文献中的想法。混合搜索任务包括搜索视觉显示,寻找几种可能的目标类型中的任何一种(想想购物清单或疾病征兆清单)。这些是视觉搜索和记忆搜索的组合。它可以搜索保存在内存中的数百个不同的对象。为了模拟这一行为,将工作记忆和长时记忆(LTM)研究中的思想引入GS框架。最后,混合觅食任务结合了觅食任务和混合任务的需求。在这里,观察者试图收集尽可能多的多种类型目标的例子。我们在与非专家观察员的实验室研究和与专家放射科医生的实验中使用每一种方法。我们试图描述和模拟扩展搜索的基本过程,并提高放射科医生和其他专家执行此类搜索的能力。特别令人感兴趣的是搜索罕见的低患病率目标(例如,乳腺癌筛查人群中的癌症出现在约0.3%的检查中)。在临床环境中,假阴性、漏诊错误在低流行率时会增加。这项拟议的工作提出了改善这种影响的技术,并检查了扩展搜索任务中流行率的影响。总之,这项工作开发了GS的跨学科扩展,应用于扩展的搜索任务,最终目标是提高在放射学和其他社会重要环境中发现的关键搜索任务的性能。
英文摘要
DESCRIPTION (provided by applicant): Consider looking at a bone scan or a CT to determine if a patient is responding to cancer treatment. Or, as a less life-and-death case, consider searching through a child's toy box for all the Lego pieces that can be used to build a roof on today's project. These are complex, extended visual searches for multiple instances of multiple target types, be they metastases of cancer or building blocks of a particular shape. How do humans perform such tasks and how can we help experts to perform more effectively the critical extended search tasks that our civilization has created in the clinic, the airport, and elsewhere? The past 25+ years have seen great progress in understanding the basic process of visual selective attention. That said, the bulk of the existing work involves brief episodes of search (seconds) for a single instance of a single class of target (e.g. find a red vertical line or this specific object). Typically, that target will be present on 50% or more of trials. In order to understand and improve upon socially important search tasks in radiology and elsewhere, we must investigate extended visual search tasks. The proposed work exploits three extended search paradigms, largely new to the study of human search. Foraging tasks are laboratory analogs of picking berries in a field or lung nodules in a chest CT. Observers try to select as many target items as possible in a fixed period of time. To model this behavior, the Guided Search (GS) model is augmented with ideas from the literature on animal foraging as well as decision theory and neuroeconomics. Hybrid Search tasks involve searching visual displays for any of several possible types of target (think of a shopping list or a checklist of signs of disease). These are combinations of visual search and memory search. It is possible to search for literally hundreds of distinct objects, held in memory. To model this behavior, ideas from the study of working memory and long-term memory (LTM) are brought into the GS framework. Finally, Hybrid Foraging tasks combine the demands of the foraging and hybrid tasks. Here, observers attempt to collect as many examples as possible of multiple types of targets. We use each of these methods in laboratory studies with non-expert observers and in experiments with expert radiologists. We seek to describe and model the fundamental processes of extended search and to improve the ability of radiologists and other experts to perform such searches. Of particular interest are searches for rare, low prevalence targets (e.g. cancer in a breast cancer screening population appears in about 0.3% of exams). False negative, miss errors are elevated at low prevalence in clinical settings. The proposed work suggests techniques for ameliorating this effect and examines the impact of prevalence in extended search tasks. In summary, this work develops an interdisciplinary extension of GS, applied to extended search tasks, with the ultimate goal of improving performance on the critical search tasks found in radiology and other socially important settings.
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Prevalence effects in visual research: Theoretical and practical implications
  • 批准号:
    10181436
  • 项目类别:
  • 资助金额:
    $1.61万
  • 财政年份:
    2020
  • 负责人:
    Jeremy M Wolfe
  • 依托单位:
Improving Perception in Digital Breast Tomography
  • 批准号:
    9545722
  • 项目类别:
  • 资助金额:
    $45.34万
  • 财政年份:
    2016
  • 负责人:
    Jeremy M Wolfe
  • 依托单位:
Improving Perception in Digital Breast Tomography
  • 批准号:
    9751254
  • 项目类别:
  • 资助金额:
    $43.98万
  • 财政年份:
    2016
  • 负责人:
    Jeremy M Wolfe
  • 依托单位:
Improving Perception in Digital Breast Tomography
  • 批准号:
    10704517
  • 项目类别:
  • 资助金额:
    $44.29万
  • 财政年份:
    2016
  • 负责人:
    Jeremy M Wolfe
  • 依托单位:
海外基金