CAREER: Quantitative Evaluation Of Attention Models Of Visual Search

职业：视觉搜索注意力模型的定量评估

• 批准号: 0135118
• 负责人: Miguel Eckstein
• 金额: $ 39.22万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-15 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0135118&HistoricalAwards=false
• 关键词: CAREER; Quantitative; Evaluation; Attention; Models

Visual search is a process that humans engage in on a daily basis. Looking for a friend in a crowd, a car in a parking lot, or a tumor in an x-ray mammogram are all examples of visual search. Visual search involves two processes, (1) scrutinizing the visual scene by making eye movements to orient the high-resolution fovea to the regions of interest and (2) attending to different points in the visual scene independent of the eye position to select relevant visual information. For over three decades, investigators have studied visual attention and offered different theories about its function and its processing limitations during search. This research will test a number of existing and newly proposed theories using novel mathematical/computer implementations of models of visual attention. The results will allow for a better understanding of the function of visual attention during visual search. The research will also provide a new theoretical and quantitative framework to study the types of attentional disorders present in patients with schizophrenia, Alzheimer's disease, attentional deficit/hyperactive disorders, and hemi-neglect. The education plan will incorporate the use of computer and mathematical models in the study of visual attention in undergraduate and graduate education. In addition, the education plan will include implementation of a website that will allow students and researchers worldwide Internet access to use and test computer models of visual attention.

视觉搜索是人类每天都在进行的一个过程。 在人群中寻找朋友，在停车场寻找汽车，或者在X光乳房X光片中寻找肿瘤都是视觉搜索的例子。 视觉搜索包括两个过程，（1）通过眼球运动来仔细检查视觉场景，以将高分辨率的中央凹定向到感兴趣的区域，以及（2）关注视觉场景中的不同点，而不依赖于眼睛的位置，以选择相关的视觉信息。 三十多年来，研究人员一直在研究视觉注意，并提出了关于其功能及其在搜索过程中的处理限制的不同理论。 这项研究将测试一些现有的和新提出的理论，使用新的数学/计算机实现的视觉注意力模型。 研究结果将有助于更好地理解视觉搜索过程中视觉注意的功能。 该研究还将提供一个新的理论和定量框架，以研究精神分裂症、阿尔茨海默病、注意力缺陷/多动障碍和偏侧忽视患者的注意力障碍类型。 该教育计划将在本科和研究生教育中使用计算机和数学模型研究视觉注意力。 此外，教育计划将包括建立一个网站，使世界各地的学生和研究人员能够上网，使用和测试视觉注意力的计算机模型。