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Dynamic sequence analysis of a decision making task of multielement target tracking and its usage as a learning method.

机译：多元素目标跟踪决策任务的动态序列分析及其作为一种学习方法。

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摘要

This dissertation is divided into four parts: 1) Development of effective methods for comparing visual scanning paths (or scanpaths) for a dynamic task of multiple moving targets, 2) application of the methods to compare the scanpaths of experts and novices for a conflict detection task of multiple aircraft on radar screen, 3) a post-hoc analysis of other eye movement characteristics of experts and novices, and 4) finding out whether the scanpaths of experts can be used to teach the novices.;In order to compare experts' and novices' scanpaths, two methods are developed. The first proposed method is the matrix comparisons using the Mantel test. The second proposed method is the maximum transition-based agglomerative hierarchical clustering (MTAHC) where comparisons of multi-level visual groupings are held out. The matrix comparison method was useful for a small number of targets during the preliminary experiment, but turned out to be inapplicable to a realistic case when tens of aircraft were presented on screen; however, MTAHC was effective with large number of aircraft on screen.;The experiments with experts and novices on the aircraft conflict detection task showed that their scanpaths are different. The MTAHC result was able to explicitly show how experts visually grouped multiple aircraft based on similar altitudes while novices tended to group them based on convergence. Also, the MTAHC results showed that novices paid much attention to the converging aircraft groups even if they are safely separated by altitude; therefore, less attention was given to the actual conflicting pairs resulting in low correct conflict detection rates.;Since the analysis showed the scanpath differences, experts' scanpaths were shown to novices in order to find out its effectiveness. The scanpath treatment group showed indications that they changed their visual movements from trajectory-based to altitude-based movements. Between the treatment and the non-treatment group, there were no significant differences in terms of number of correct detections; however, the treatment group made significantly fewer false alarms.
机译：本文共分为四个部分：1）开发了比较动态目标多任务的视觉扫描路径（或扫描路径）的有效方法； 2）应用方法将专家和新手的扫描路径进行比较以检测冲突。多架飞机在雷达屏幕上的任务； 3）对专家和新手的其他眼球运动特征进行事后分析，以及4）找出专家的扫描路径是否可以用来教新手。和新手的扫描路径，开发了两种方法。首先提出的方法是使用Mantel检验进行矩阵比较。提出的第二种方法是基于最大过渡的凝聚层次聚类（MTAHC），其中可以进行多级视觉分组的比较。矩阵比较法在初步实验中对少量目标有用，但是当屏幕上出现数十架飞机时，事实证明这种方法不适用于现实情况。但是，MTAHC在屏幕上显示大量飞机时是有效的。；与专家和新手进行的飞机冲突检测任务实验表明，它们的扫描路径不同。 MTAHC结果能够明确显示专家如何根据相似的海拔高度对多架飞机进行可视分组，而新手则倾向于根据会聚程度对它们进行分组。此外，MTAHC结果表明，即使飞机乘员安全地分开了高度，新手也非常注意它们。因此，对实际冲突对的关注较少，导致正确的冲突检测率较低。由于分析显示了扫描路径差异，因此向新手展示了专家的扫描路径，以了解其有效性。扫描路径治疗组显示出迹象表明他们将视觉运动从基于轨迹的运动更改为基于高度的运动。在治疗组和非治疗组之间，正确检测的数量没有显着差异。但是，治疗组的虚假警报明显减少。

著录项

  • 作者

    Kang, Ziho.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Aerospace.;Engineering Industrial.;Psychology Cognitive.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 245 p.
  • 总页数 245
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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