An active vision computational model of visual search for human-computer interaction
An active vision computational model of visual search for human-computer interaction
复制标题
人机交互视觉搜索的主动视觉计算模型
DOI：
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复制
发表时间：
2008
期刊：
影响因子：
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通讯作者：
T. Halverson
中科院分区：
文献类型：
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作者：
A. Hornof;T. Halverson
视觉搜索是人机交互的重要组成部分。人们使用的视觉搜索过程对花费的时间和找到他们所寻求的信息的可能性有很大的影响。本论文通过实验和计算认知模型对视觉搜索进行了研究。计算认知建模是一种强大的方法，它使用计算机模拟来捕获，断言，记录和重放视觉搜索过程中许多人类过程之间的合理交互。本论文的目的是提供一个视觉搜索的认知模型，可以利用预测界面分析工具，这样做的方式符合人类视觉处理的综合理论，即主动视觉。该模型解释了主动视觉的四个问题，这些问题的答案对HCI的从业者和研究人员都很重要：在固定中可以感知到什么？眼睛什么时候动？眼睛在哪里移动？眼球运动之间整合了哪些信息？
本论文提出了一个原则性的进展，发展的计算模型的主动视觉。三个实验进行了调查的视觉布局属性的影响：密度，颜色和词义。实验结果提供了一个更好的理解这些因素如何影响人机视觉交互。三组数据，两个从这里报告的实验，准确地建模在EPIC（执行过程交互控制）的认知架构。这项工作扩展了计算认知建模的实践，（a）通过使用眼动数据告知开发计算模型的过程，以及（B）在计算框架中提供主动视觉理论的第一个详细实例。这种实例化使我们能够更好地理解（a）视觉搜索过程的影响和相互作用，以及（B）这些视觉搜索过程如何通过计算来预测人们的视觉搜索行为。这项研究最终使HCI受益，使研究人员和从业人员更好地了解用户如何与计算机进行视觉交互，并为预测这种交互的工具提供了基础。
这篇论文包括以前出版的和合著的材料。
Visual search is an important part of human-computer interaction (HCI). The visual search processes that people use have a substantial effect on the time expended and likelihood of finding the information they seek. This dissertation investigates visual search through experiments and computational cognitive modeling. Computational cognitive modeling is a powerful methodology that uses computer simulation to capture, assert, record, and replay plausible sets of interactions among the many human processes at work during visual search. This dissertation aims to provide a cognitive model of visual search that can be utilized by predictive interface analysis tools and to do so in a manner consistent with a comprehensive theory of human visual processing, namely active vision. The model accounts for the four questions of active vision, the answers to which are important to both practitioners and researchers in HCI: What can be perceived in a fixation? When do the eyes move? Where do the eyes move? What information is integrated between eye movements?
This dissertation presents a principled progression of the development of a computational model of active vision. Three experiments were conducted that investigate the effects of visual layout properties: density, color, and word meaning. The experimental results provide a better understanding of how these factors affect human-computer visual interaction. Three sets of data, two from the experiments reported here, were accurately modeled in the EPIC (Executive Process-Interactive Control) cognitive architecture. This work extends the practice of computational cognitive modeling by (a) informing the process of developing computational models through the use of eye movement data and (b) providing the first detailed instantiation of the theory of active vision in a computational framework. This instantiation allows us to better understand (a) the effects and interactions of visual search processes and (b) how these visual search processes can be used computationally to predict people's visual search behavior. This research ultimately benefits HCI by giving researchers and practitioners a better understanding of how users visually interact with computers and provides a foundation for tools to predict that interaction.
This dissertation includes-both previously published and co-authored material.
影响因子：
8.2
作者：
Woodman, GF;Vogel, EK;Luck, SJ
通讯作者：
Luck, SJ
影响因子：
3.7
作者：
Yoon, C;Feinberg, F;Park, DC
通讯作者：
Park, DC