Eye-Tracking as a Lens into Expertise Development in Visual Search.

Q1 Social Sciences
Megan H Papesh, Michael C Hout, Giovanna C Del Sordo, Bryan L White, Ashley P Mathis
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引用次数: 0

Abstract

Visual search professionals frequently examine complex images in which they must locate and identify anomalies (e.g., tumors or lesions in medical images, hostile territories in maps) indicating the presence of important information. This is a difficult perceptual and cognitive challenge that requires years of experience even beyond domain-specific training. We developed a laboratory analogue of this task to examine how people development expertise over time and the changes that occur in visual scanning behaviors as this expertise accrues. Participants' eyes were tracked as they searched for subtle anomalies during and after different forms of training. Anomaly detection improved with experience and this improvement occurred more quickly in perceptual training conditions. Eye movement analyses revealed that participants' expertise conferred benefits in both scanning and recognition times. These results suggest that simple perceptual training methods can affect both cognitive and oculomotor components of visual search.

Abstract Image

Abstract Image

Abstract Image

眼动追踪作为视觉搜索技术发展的镜头。
视觉搜索专业人员经常检查复杂的图像,他们必须在其中定位和识别异常(例如,医学图像中的肿瘤或病变,地图上的敌对领土),表明存在重要信息。这是一个困难的感知和认知挑战,需要多年的经验,甚至超出特定领域的培训。我们开发了一个实验室模拟这项任务,以研究人们如何随着时间的推移发展专业知识,以及随着专业知识的积累,视觉扫描行为发生的变化。当参与者在不同形式的训练期间和之后寻找细微的异常时,他们的眼睛会被跟踪。异常检测随着经验的增加而提高,这种提高在感知训练条件下发生得更快。眼球运动分析显示,参与者的专业知识在扫描和识别时间上都有好处。这些结果表明,简单的知觉训练方法可以影响视觉搜索的认知和动眼肌成分。
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来源期刊
Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction Social Sciences-Social Sciences (miscellaneous)
CiteScore
5.90
自引率
0.00%
发文量
257
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