对象(语法)
编码(集合论)
感知
人工智能
计算机科学
视觉感受
空格(标点符号)
视觉空间
选择(遗传算法)
计算机视觉
模式识别(心理学)
心理学
程序设计语言
集合(抽象数据类型)
操作系统
神经科学
出处
期刊:Psychological Review
[American Psychological Association]
日期:1996-10-01
卷期号:103 (4): 603-649
被引量:289
标识
DOI:10.1037/0033-295x.103.4.603
摘要
This article presents a theory that integrates space-based and object-based approaches to visual attention. The theory puts together M.P. van Oeffelen and P.G. Vos's (1982, 1983) COntour DEtector (CODE) theory of perceptual grouping by proximity with C. Bundesen's (1990) theory of visual attention (TVA). CODE provides input to TVA, accounting for spatially based between-object selection, and TVA converts the input to output, accounting for feature- and category-based within-object selection. CODE clusters nearby items into perceptual groups that are both perceptual objects and regions of space, thereby integrating object-based and space-based approaches to attention. The combined theory provides a quantitative account of the effects of grouping by proximity and distance between items on reaction time and accuracy data in 7 empirical situations that shaped the current literature on visual spatial attention.
科研通智能强力驱动
Strongly Powered by AbleSci AI