Isolating and mitigating sequentially dependent perceptual errors in clinical visual search

隔离和减轻临床视觉搜索中的顺序相关感知错误

基本信息

批准号：
10599142
负责人：
DAVID V WHITNEY
金额：
$ 30.46万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-17 至 2025-03-31
项目状态：
未结题

项目摘要

Project Summary When looking at an x-ray, radiologists are typically asked to localize a tumor (if present), and to classify it, judging its size, class, position and so on. Importantly, during this task, radiologists examine on a daily basis hundreds and hundreds of x-rays, seeing several images one after the other. A main underlying assumption of this task is that radiologists’ percepts and decisions on a current X-ray are completely independent of prior events. Recent results showed that this is not true: our perception and decisions are strongly biased by our past visual experience. Although serial dependencies were proposed to be a purposeful mechanism to achieve perceptual stability of our otherwise noisy visual input, serial dependencies play a crucial and deleterious role in the everyday task performed by radiologists. For example, an x-ray containing a tumor can be classified as benign depending on the content of the previously seen x-ray. Given the importance and the impact of serial dependencies in clinical tasks, in this proposal, we plan to (1) establish, (2) identify and (3) mitigate the conditions under which serial effects determine our percepts and decisions in tumor search tasks. In Aim 1, we will establish the presence of serial effects in four different clinically relevant domains: tumor detection, tumor classification, tumor position and recognition speed. In Aim 2, we plan to identify the specific boundary conditions under which visual serial dependence impacts tumor search in radiology. In Aim 3, once we will fully understand these boundary conditions in Aim 2, we will propose a series of task and stimulus manipulations to control and mitigate the deleterious effects of visual serial dependence on tumor search. As a result of these manipulations, visual search performance should improve in measurable ways (detection, classification, position, speed). Aim 3 is particularly crucial because it will allow us to propose new guidelines which will greatly improve tumor recognition in x-ray images, making this task even more effective and reliable. Taken together, the proposed studies in Aim 1, 2, and 3 will allow us to establish, identify, and mitigate the deleterious effect of serial dependencies in radiological search tasks, which could have a significant impact on the health and well-being of patients everywhere. ! ! !

项目摘要查看X射线时，通常要求放射线医生定位肿瘤（如果存在），然后对其进行分类，判断其大小，阶级，位置等。重要的是，在此任务中，放射科医生每天检查数百张X射线，在一个之后看到几张图像其他。这项任务的主要基础假设是，放光主义者对当前的X射线完全独立于先前的事件。最近的结果表明，这不是事实：我们过去的视觉体验对我们的看法和决策充满了偏见。虽然系列依赖性被认为是实现我们的感知稳定性的有目的机制否则，噪音的视觉输入，串行依赖性在日常中起着至关重要和有害的作用放射科医生执行的任务。例如，包含肿瘤的X射线可以分类为良性取决于先前看到的X射线的内容。鉴于连续剧的重要性和影响临床任务的依赖性，在此提案中，我们计划（1）建立，（2）识别和（3）减轻串行效应决定了我们在肿瘤搜索任务中的看法和决策的条件。在AIM 1中，我们将在四个不同的临床相关领域中建立序列效应的存在：肿瘤检测，肿瘤分类，肿瘤位置和识别速度。在AIM 2中，我们计划确定视觉串行依赖影响肿瘤搜索的特定边界条件放射学。在AIM 3中，一旦我们将完全理解AIM 2中的这些边界条件，我们将提出一系列任务和刺激操作，以控制和减轻视觉序列依赖肿瘤搜索。由于这些操纵，视觉搜索性能应以可测量的方式提高（检测，分类，位置，速度）。 AIM 3是特别关键，因为它将允许我们提出新的指南，从而大大改善肿瘤 X射线图像中的识别，使此任务更加有效和可靠。总的来说，目标1、2和3中的拟议研究将使我们能够建立，识别和减轻有害的研究连续依赖性在放射学搜索任务中的影响，这可能会对到处都是患者的健康和福祉。呢呢呢